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CUSTOMER REVIEW: “In a nutshell, these panels (and indeed, the entire EA9 line) offer great value, usability, and ease of use for the price...The programming is very straightforward and the panels have quite a lot of functionality...If you compare these to the AB Panelviews, I’m not sure what that extra $3000 buys you, but it’s nothing I need. As long as it’s up to me, I’ll save my employer that money, (and myself the frustration) of dealing with AB products...” Brian in TACOMA, WA
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Features: • Universal supply voltage, 21.6 to 253 VAC or 19.2 to 300 VDC, polarity insensitive • 3-way isolation (input, output, and power) • Easy-to-use detachable LCD programming/ display module (sold separately, required for programming) • Easy and quick configuration settings transfer from one signal conditioner to another using programming module • Integral 35mm DIN rail mounting adapter
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the #1 value in automation
We build trust... that’s what we do. At Phoenix Contact, we stand behind our products. And now we are elevating that commitment with our Limited Lifetime Warranty. It’s our promise to you that the products you install in your control cabinets are free from defects and built to last. From all of us — we’ve got your back. Simply register and let us handle it.
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© PHOENIX CONTACT 2019
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Vol. 66 Number 9
®
SEPTEMBER 2019
28 | Shift in control technologies, design
17-36 COVER: Leveraging mobile-enabled maintenance technologies allows teams to stay more connected to do their jobs more quickly and away from arc-flash zones. Courtesy: Fluke Corp. 38-46 INSET: Modern web browsers are leveraged for new mobile capabilities and other capabilities in Ignition 8 from Inductive Automation. Courtesy: Inductive Automation
INSIGHTS 5 | Research: Buying, specifying motor drives 6 | Technology Update: Collaborative robotics deliver faster ROI 12 | Career Update: Engineer retention 14 | Career Update: Control your career NEWS
16 | University technology roundup 17 | Think Again: Control Engineering 2020
ANSWERS
31 | Continuing education advances process control, instrumentation productivity 33 | Evolution of modern manufacturing:more data 35 | Digital twins, engineering future 36 | Improvement by association: engineers collaborate on best practices 38 | Selecting HMI remote access options 40 | New mobile HMI designs 42 | A mobile HMI strategy can lead to digital transformation 44 | Web browsers: HMI, SCADA applications 46 | It’s time the mobile HMI caught up 47 | NFPA 70E standard, electrical safety 51 | Engineering Leaders Under 40 60 | Five advanced process control, data analytics connections 62 | OOIP Part 3: interfaces and methods 64 | The basics of model-following control
18 | Smart Factory Testbed: From concept to reality
INSIDE PROCESS
24 | Future of industrial automation
P5 | Industry 4.0, automation: smelter
26 | 5 enduring developments in electronic motion control
P1 | RPC and model-based control P6 | Water, wastewater application uses IIoT energy management
CONTROL ENGINEERING (ISSN 0010-8049, Vol. 66, No. 9, GST #123397457) is published 12x per year, Monthly by CFE Media, LLC, 3010 Highland Parkway, Suite #325 Downers Grove, IL 60515. Jim Langhenry, Group Publisher/Co-Founder; Steve Rourke CEO/COO/Co-Founder. CONTROL ENGINEERING copyright 2019 by CFE Media, LLC. All rights reserved. CONTROL ENGINEERING is a registered trademark of CFE Media, LLC used under license. Perio dicals postage paid at Downers Grove, IL 60515 and additional mailing offices. Circulation records are maintained at 3010 Highland Parkway, Suite #325 Downers Grove, IL 60515. Telephone: 630/571-4070. E-mail: customerservice@cfemedia.com. Postmaster: send address changes to CONTROL ENGINEERING, 3010 Highland Parkway, Suite #325 Downers Grove, IL 60515. Publications Mail Agreement No. 40685520. Return undeliverable Canadian addresses to: 3010 Highland Parkway, Suite #325 Downers Grove, IL 60515. Email: customerservice@cfemedia.com. Rates for nonqualified subscriptions, including all issues: USA, $165/yr; Canada/Mexico, $200/yr (includes 7% GST, GST#123397457); International air delivery $350/yr. Except for special issues where price changes are indicated, single copies are available for $30 US and $35 foreign. Please address all subscription mail to CONTROL ENGINEERING, 3010 Highland Parkway, Suite #325 Downers Grove, IL 60515. Printed in the USA. CFE Media, LLC does not assume and hereby disclaims any liability to any person for any loss or damage caused by errors or omissions in the material contained herein, regardless of whether such errors result from negligence, accident or any other cause whatsoever.
www.controleng.com
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September 2019
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Stressed out? Juggling too many motion control projects while trying to keep up with new technology can be overwhelming! It’s time to contact an automation specialist at SEW-EURODRIVE for help. Using the latest innovation, we provide a complete package from start to finish, including expertise, project planning, components, software, commissioning, and worldwide support. So relax . . . we got this!
seweurodrive.com / 864-439-7537 input #4 at www.controleng.com/information
Number of hours worked per week 60 or more
Fewer than 30
1%
4%
INSIGHTS
RESEARCH
30 to 39
50 to 59
4% 12%
40 to 49
79%
Automation professionals, on average, work 44 hours per week, with 13% working 50 hours or more. Source: Control Engineering 2019 Career & Salary Study
Six in 10
end users use or expect to use function block diagrams over the next 12 months. Source: Control Engineering 2018 Programmable Controllers Study
45%
of end users seek the ability to try before they buy HMI software. Source: Control Engineering 2018 HMI Software & Hardware Study
87%
of end users prefer to order a standard off-the-shelf servo/stepper drive as opposed to custom-engineered. Source: Control Engineering 2019 Motor Drives Study
2019 MOTOR DRIVES STUDY
Buying, specifying motor drives
R
espondents to the Control Engineering 2019 Motor Drives study identified five key findings related to the purchase and specification of variable-speed, servo/ stepper and medium-voltage drives: 1. Usage: Eighty-eight percent of respondents use or expect to use variable speed drives (VSDs) within the next 12 months; 46% use/plan to use servo and/ or stepper drives and 17% use/plan to use medium voltage (MV) drives. 2. Applications (check all that apply): When specifying VSDs, 89% of applications are new, 74% are retrofit and 71% are replacement. The breakdown for servo/stepper drives is 87% new, 67% retrofit and 64% replacement. For MV drives: 89% new, 81% retrofit and 78% replacement. 3. Purchasing: Thirty-six percent of respondents prefer to buy motors and related VSDs separately; 22% prefer matched units. Regarding servo/stepper drives, only 12% prefer separate, and
60% look for matched units. For MV drives and Above NEMA motors: 30% prefer separate, and 19% favor matched units. 4. Expenditures: Over the past 12 months, respondents estimated an average of $139,000 having been spent on VSDs. For the same time frame, respondents also estimated average values of $94,000 for servo/stepper drives and $620,000 for MV drives. 5. Important factors: The most critical qualities respondents look for when choosing a motor drive are frequent start/stop tolerance for VSDs (83%), accurate positioning for servo/stepper drives (97%) and frequent start/stop tolerance for MV drives (83%). ce
M More RESEARCH
Access more motor drive trends at www.controleng.com/research. Amanda Pelliccione is the research director at CFE Media and Technology.
Top 10 motor drive evaluation criteria 74%
Drive reliability
65%
Price Simple setup/controls
54%
Programmability in software
53% 50%
Customer service and support
46%
Manufacturer's reputation
45%
Communication interface choices
42%
Maintenance
More research Control Engineering covers several research topics each year. All reports are available at www.controleng.com/research.
www.controleng.com
Downloadable parameters
38%
Convenient operator interface
37%
When evaluating any type of motor drive, automation professionals first look at reliability, followed by price, ease of setup/controls, programmability, customer service and support and the manufacturer’s reputation. Source: Control Engineering control engineering
September 2019
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INSIGHTS
TECHNOLOGY UPDATE Mark T. Hoske, Control Engineering
Collaborative robotics, faster ROI Collaborative robots used in industrial applications can be easier than traditional robotics for set up and redeployment, producing rapid return on investments (ROIs) in many diverse applications.
C and
M More INSIGHTS
KEYWORDS: Collaborative
robots, manufacturing competitiveness, skills gap Robotics saves manufacturing jobs. Collaborative robots can be set up more quickly. Programming and training for collaborative robots.
CONSIDER THIS If you have traditional robots, or even if you don’t, what applications could benefit from a little extra help?
ONLINE Universal Robots July 31 webcast has supporting slides on benefits and case studies, a video of customer application ROIs, and a question-and-answer session. See related webcasts: www.controleng.com/ webcasts/past
ollaborative robots used in industrial applications can be easier than traditional robotics for specification, training, setup, integration with endeffectors and applications, operation redeployment. Collaborative robots also can help manufacturing workers fill in where skilled labor resources are scarce, adding productivity, saving manufacturing jobs and expanding manufacturing competitiveness and opportunities, according to Early Ewing, UR+ product manager for Universal Robots. In industrial implementations, collaborative robots can work in the same space with humans after an appropriate risk assessment. Compared to traditional industrial robots, Ewing said, collaborative robots can have faster setup, easier programming, more flexible deployment, limited space requirements, can work side by side with humans, and have a return on investment (ROI) of often a year or less, as explained in a July 31 webcast on return on investment (ROI) of collaborative robots, at www.controleng.com/webcasts/past through July 2020.
Manufacturing productivity
Collaborative robots’ ROI of one year or less, Ewing said, is strong compared to two years needed for many traditional robot applications. He also explained collaborative robots can help with manufacturing productivity in ways such as: The Universal Robots’ UR5 at Zippertubing eliminated product rejects. “We have no fears of ever sending bad parts to our customers now,” says Tim Mead, operations manager with Zippertubing. Courtesy: Universal Robots
6
•
September 2019
control engineering
• Humans working with machines can result in dynamic and adaptable production. • Robots help manufacturers grow even in this skill-labor-restricted current environment. • Skilled labor pressures in manufacturing are expected to continue with U.S. Baby Boomers reaching retirement age at a pace of 10,000 per day, resulting in an estimated 2.4 million open jobs between 2018 and 2028. • More than 68% of respondents to a National Association of Manufacturers survey in fourthquarter 2018 said attracting and retaining a quality workforce was the highest among “primary current business challenges.” • Average annual growth for collaborative robots exceeds 45% from 2018 to 2025, said “Global Collaborative Robots Market Report” from The Insight Partners. • Among eight collaborative robot customer application in a Universal Robots video, return on investment ranged from 1 to 14 months. Five were 6 months or less. • Implementations from customers, distributors, or system integrators can vary for more complex applications. • Human-robot collaboration is 85% more productive than humans or robots alone. • All Axis Machinery, which was turning away orders for lack of skilled labor, used four collaborative robots to automate six applications, increase spindle on-time from 8 to 20 hours per day with higher accuracy and quality for a 4-month ROI. • Zippertubing wrap-around cable tubing manufacturer achieved zero parts defect and was able to reassign 32% of labor force to other things the robot cannot do. Other case studies show other benefits such as eliminating backlog, increasing throughput, doing half of preliminary buffing so a skilled human can do the rest, eliminating downtime in a critical application, and providing enough help to enable a third shift to operate. ce Mark T. Hoske, content manager, Control Engineering, CFE Media, mhoske@cfemedia.com, wrote this with information from the Universal Robots July 31 “ROI of Collaborative Robots” webcast. www.controleng.com
SENSE Is it cold in here or did your boss just walk in?
We have a sensor for that.
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© Allied Electronics & Automation, 2019
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input #6 at www.controleng.com/information
SEPTEMBER 2019
®
INNOVATIONS NEW PRODUCTS FOR ENGINEERS
76 | Information platform for processing applications, Electromagnetic filter series, Brushless servo motor series, Actuator series, On/off control valve series. See more New Products for Engineers at www.controleng.com/NPE.
BACK TO BASICS
79 | Robots need to understand and think more
NEWSLETTERS: Redesign this month
Control Engineering eBook series: Midstream Asset Management Summer Edition This helpful eBook will help readers learn about topics including orifice meters, oil terminal efficiency, and machine learning-based gas recognition. Learn more and register to download: www.controleng.com/ebooks
Starting this month, we have upgraded our newsletter to deliver a better overall experience for our subscribers. Go to www.controleng.com/newsletters to learn more.
ONLINE HEADLINES • Top 5 Control Engineering articles Aug. 19-25 • Hybridization as a disruptive, profitable energy strategy for manufacturers • Machine vision improves surveillance, public safety • Researchers use polymer to strengthen graphene oxide sheets • Regular hydraulic grab maintenance improves performance and reliability.
Learn more about upcoming events and awards at www.controleng.com/events-and-awards/2019-tradeshows-events/
CFE EDU: Catapult your career forward Earn learning units and discover exclusive content through videos, presentations and access to experts at CFE Edu, an on-demand education platform by CFE Media and Technology. Check out the course catalog today at cfeedu.cfemedia.com/catalog. • IIoT Series: Part 3: Edge, Fog, and Cloud • Data-Driven Maintenance • Introduction to Cybersecurity within CyberPhysical Systems • IIoT Series: Part 2, Current Issues and Applications
IIoT for Engineers In this issue: IIoT for Engineers is about the use of information, automation, and internet technologies to improve productivity, in discrete and process facilities. Featured articles include: Best practices for network security design, Control system connectivity, and Leveraging SCADA data in maintenance workflows. Read the digital edition at www.controleng.com/magazine.
controleng.com provides new, relevant automation, controls, and instrumentation content daily, access to databases for new products and system integrators, and online training.
www.controleng.com
control engineering
September 2019
•
9
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input #7 at www.controleng.com/information
INSIGHTS CAREER ADVICE
Angie Keller, Randstad Engineering
Improve engineer retention 3 ways Companies protecting top engineering talent from rivals should improve training, benefits and wages to make employees happier and more productive.
T
he new industrial age is in full swing. Automation, robotics, AI and the Internet of Things (IoT) are reshaping how businesses across nearly every industry operate. They’re helping organizations streamline processes, maximize productivity and reduce costs. With more businesses seeking the services of skilled engineers to help keep pace with the fast rate of change, engineering opportunities are being Manufacturers looking to retain their best engicreated faster neers should improve skill sets, benefits and than employers wages. Courtesy: Randstad Engineering can fill them. A Deloitte study said the skills gap could leave 2.4 million positions unfilled between 2018 and 2028 in the manufacturing sector. Consider these three tips to retain the best engineering talent.
M More INSIGHTS
KEYWORDS: engineers,
employee retention, employee benefits There is a major skills gap for engineers that companies are struggling to fill. Companies looking to shore up the skills gap should focus on retaining the top talent they have. Fair wages, better benefits and better training will make employees happier and more productive.
ONLINE Read this article at www.controleng.com for a link to the 2019 Control Engineering Career and Salary Survey for more information about engineering trends.
CONSIDER THIS What has your company done to retain talent and what have the results been like?
12
•
September 2019
1. Retrain to retain
Sixty-six percent of employers who responded to a McKinsey survey said addressing the skills gap was a top-ten priority, and nearly 30% put it in their top five — and retraining or upskilling existing workers emerged as a key component of their strategies for fighting it. Avoiding the tight talent market and retraining employees already on staff is the best way to confront the skills gap head-on and bring the workforce up to speed in all the areas where companies feel they may be lacking expertise. It also ensures companies don’t suffer even more vacancies by losing talent to competitors. As competition for talent accelerates, competing employers may become compelled to dangle lucrative offers in front of a company’s top performers to lure them away. If a company has prioritized training and development and increased upskilling efforts, they’ll be better protected from outside comcontrol engineering
petition. When asked about what they value most in an employer, training and development has consistently come out on top for many workers today. When companies demonstrate dedication to teams’ development and imbue them with new skills, better performance and greater loyalty will result.
2. Broaden the benefit spectrum
Competition for talent across all sectors has forced employers to think outside the box when it comes to the benefits and perks offered. If the current offering isn’t in line with competitors, companies run the risk of greater turnover. Fifty-five percent of employee respondents to Randstad’s Benefits and Perks in the Workplace study said they’d left jobs in the past because they received better benefits elsewhere. Keeping benefits and perks packages up to date with the latest worker expectations can help attract and retain top performers. So what should companies be offering to keep their best engineers? Randstad research found, as a general rule, almost all (94%) employees want benefits and perks that meaningfully impact their quality of life. What that looks varies. Companies should survey employees to discover the kind of benefits they value most. Other incentives that came out on top were perks like early Friday releases; flexible, remote work options; on-site amenities like gyms, dry cleaning and childcare; and unlimited vacation time.
3. Offer fair wages
Forty-four percent of respondents to a Randstad Employer Brand Research study said low compensation was the top reason they left their previous employer. For industries where demand for talent is especially high, the number could be even greater. After updating the benefits package, companies should set their sights on salary to make sure they’re doing all they can to retain engineers. Evaluate the cost of living in the area to make sure what’s being offered is reasonable. Companies also should study the local market to see what the current pay rates are for the positions they’re looking to protect to stay competitive. ce
Angie Keller, senior vice president, Randstad Engineering. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. www.controleng.com
| EC11-16USA |
Many-core power, DIN rail form factor Powerful Embedded PC series offers up to 12 CPU cores with advanced Intel® Xeon® D processors
www.beckhoff.us/Many-Core-CX The Embedded PCs from the CX2000 series set new performance standards for DIN rail mounted controllers. With 4, 8 or up to 12 cores, task cycle times of 100 μs per core and an extended operating temperature range of -25 °C to +50 °C, these compact Embedded PCs offer a significant performance boost. The result: minimal hardware footprint and the highest controller performance available on DIN rail – ideal for high-performance automation and motion control applications. CPU variants CX2042: Intel® Xeon® D-1527 2.2 GHz, 4 cores CX2062: Intel® Xeon® D-1548 2.0 GHz, 8 cores CX2072: Intel® Xeon® D-1567 2.1 GHz, 12 cores Main memory: 8 GB DDR4 RAM up to max. 32 GB DDR4 RAM Graphic card: separate GPU, 2 GB GDDR5 Interfaces: 2 x Gbit Ethernet, 4 x USB 3.0, 1 x DVI-I, 1 x multi-option I/O: modularly extendable with Beckhoff Bus Terminals and EtherCAT Terminals input #8 at www.controleng.com/information
INSIGHTS CAREER UPDATE
Nelson C. Baker, Georgia Institute of Technology
Control a career: more mentors A personal board of directors is a broader version of a mentorship with many people assisting your engineering career journey from a variety of viewpoints. See four ways to begin.
C
ompared to the early days of your engineering-related career, accelerating technological advances, software updates, innovative heuristic strategies and new processes change “the way we do things” obsolete with astonishing regularity. In an environment of rapid technological development, acquiring new skills is a matter of professional survival. This is reflected in the changing demographics of public universities. At the Georgia Institute of Technology, half the students are adults taking professional development courses. Through programs like Georgia Tech Professional Education, professionals in fields such as cybersecurity, analytics, and electrical and computer engineering strive to remain relevant in their professions. They’ve adopted the attitude of a lifelong learner, and that may be the most valuable “skill” of all, learning to learn and seeking opportunities to do so. Engineers and other science, technology, engineering and math (STEM) professionals in particular can benefit from a lifelong learner mindset. Dealing directly with technology means dealing with constant change. To stand out to potential employers, electrical engineers need to have expertise that other candidates don’t offer. A personal board of directors is similar to a mentorship, but broader in its application. A personal board is a group of people who can help navigate your career and education, KEYWORDS: offering a mix of experience, talent and diverEngineering careers, mentoring sity that one individual can’t match. If you Engineering careers require want to survive in a shifting job market influconsistent learning. enced by shifting career needs, it’s necessary Diverse input from others to control of your own professional destiny.
M More INSIGHTS
can provide guidance. Track and update career goals.
ONLINE If reading from the digital edition, click on the headline for more resources. www.controleng.com/ magazine www.controleng.com/ contribute
CONSIDER THIS What are the last three things you’ve written to advance your career?
14
•
September 2019
Four ways to begin
Here are four considerations to begin: 1. Know your goal. Board membership should shift and change over time, just like your career goals. If you’re at an early stage of your career with your sights set on management, find someone who is at that level. If you’re not sure where you ought to go next, find someone who can help you figure that out. And if you don’t want to keep moving up, you at least need someone who ensures you stay current. Find board members who can help you take that next step. control engineering
2. Keep it formal. A personal board of directors is more explicit than traditional networking. Don’t be afraid to seek out specific expertise, even if you’ve never met potential board members in person. It doesn’t matter whether they are on a different continent or the other side of the country. The only requirement is they have the skills and the knowledge base you need and are willing to share insights. 3. Your board members’ benefits package: Why would anyone wish to serve on your personal board? Look at it like this: Each of us will be on someone’s else’s board. There is a very real sense of giving back. As for concrete benefits, you represent a potential source of talent to your board members. Board members also can become resources for one another. Connecting with other mentors and expanding personal networks is helpful at all stages of a career. 4. Build a diverse board. Innovation happens when fields of knowledge intersect. Whether your personal board has three or twenty members, stocking your board with a wide range of disciplinary expertise allows you to explore new paths and new passions. If you enjoy the policy aspects of your job, you may find your career pivoting toward policy work. You might go back and take policy-related education. With that new focus, your board of directors may acquire a city councilman in addition to engineers. By the same token, board members with legal and financial expertise are as relevant for a personal board of directors as they are for a traditional company board. You should consider at least one board member who can help you overcome self-doubt and provide the encouragement needed to take bold new steps. This person needs to know you are as a person and has seen you in day-to-day interactions. That might be within your community, your personal life, or any field outside your profession. Above all, a personal board of directors should help you follow your passions over a lifetime — even when passions change. By following your passions, you ensure you remain relevant. ce Nelson C. Baker, Ph.D., is the dean of Professional Education at the Georgia Institute of Technology and professor in the university’s School of Civil and Environmental Engineering. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. www.controleng.com
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INSIGHTS
NEWS
Four university tech findings Below are some of the highlights happening in engineering. If reading the digital edition, click on the individual headlines to read the full story.
Smartphone apps may link to vulnerable cloud servers
Researchers from the Georgia Institute of Technology and The Ohio State University identified more than 1,600 vulnerabilities in the support ecosystem behind the top 5,000 free apps in the Google Play Store. Vulnerabilities in multiple app categories, could allow hackers to break into databases and perhaps into mobile devices. To help developers improve the security of mobile apps, the researchers have created an automated system called SkyWalker to vet the cloud servers and software library systems. SkyWalker can examine the security of the servers supporting mobile applications, which are often operated by cloud hosting services rather than individual app developers. Researchers discovered 983 known vulnerabilities and another 655 instances of zero-day vulnerabilities spanning software layers of cloud-based systems supporting the apps. Researchers are investigating if attackers could get into mobile devices connected to vulnerable servers.
Study to examine hurdles women face in STEM careers
Eduardo Salas, a Rice University researcher, examines women’s experiences in STEM careers. The project, titled “A Two-Part Project Examining Team Dis-
crimination by Gender in STEM Teams and a Way Forward,” will be funded with a $375,000 grant from the National Science Foundation (NSF). Many reasons for this problem have already been investigated, Salas said, including pay and promotion opportunities and family-related constraints. Workplace discrimination has been studied, with research showing women in STEM fields are more likely to face discrimination than women in non-STEM disciplines, he said. Few researchers have focused on day-today experiences of women in engineering. Salas and his research team will examine interpersonal discrimination and its impact on how individuals and teams do their jobs to determine the specific effects for women in STEM careers and what can be done to change this.
Machine learning for warehouse ergonomics
Researchers at the University of Washington have used machine learning to develop a new system that can monitor factory and warehouse workers and tell them how risky their behaviors are in real time. The algorithm divides up a series of activities into individual actions and then calculates a risk score associated with each action. They have developed a smartphone app that will allow workers and supervisors to monitor the risks of their daily actions in real time. The app will provide warnings for moderately risky actions and alerts for highrisk actions, with immediate feedback.
University grant for cybersecurity jobs
With the aid of a $1 million award from the National Science Foundation, The Lane Department of Computer Science and Electrical Engineering at West Virginia University hopes to prepare students to help meet the demand for these cybersecurity roles with the aid of as $1 million award from the NSF. West Virginia University Professor Katerina Goseva-Popstojanova said the NSF award will provide 120 annual scholarships of $5,000 to 40 undergraduate students over a five-year period. The project is called Attracting and Cultivating Cybersecurity Experts and Scholars through Scholarships (ACCESS). The ACCESS initiative also looks to encourage diversity and attract women to these positions. ce
- Edited from articles by Georgia Institute of Technology, Rice University, University of Washington, and West Virginia University by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. CORRECTION: August story An incorrect image appeared in a Control Engineering August application article from Universal Robots, “Do-it-yourself collaborative robotic project,” pages 24 to 26. It should have appeared in the Omron article, “Collaborative robot applications,” pages 26 to 29. Images with the correct captions are shown, below left. Images appear correctly in the online articles. No robot is to blame for the error.
CORRECTION: July story The images provided for the print version of the Control Engineering July article, “Benefits of digitizing reality for workers in manufacturing,” were incorrect. The images appear correctly in the online article.
CORRECTION: July 2018
Collaborative robots use a variety of sensors to accurately deliver objects to the desired location. Courtesy: Omron Automation Americas
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Universal Robots’ distributor InPosition Technologies did a demonstration. Universal Robots Academy provides free training. Zippertubing installed an area scanner slowing the robot when a person enters the work envelope. Courtesy: Universal Robots
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A July 2018, Control Engineering article “Comparing ladder logic and object-oriented programming,” called object-oriented programming (OOP) a programming language. OOP is a structured programming methodology and discipline that produces readable code, easier for many to debug and troubleshoot than if OOP is not used. OOP also can foster reuse of previously written code, reducing development time and costs. Online text posted July 12, 2018, has been clarified.
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Word cloud of Control Engineering 2020 editorial topics provides clear vision for what we can help each other learn. Courtesy: Control Engineering, CFE Media and Technology
Lukáš Smelík, Control Engineering Czech Republic lukas.smelik@trademedia.cz Aileen Jin, Control Engineering China aileenjin@cechina.cn
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www.controleng.com/EAB Doug Bell, president, InterConnecting Automation, www.interconnectingautomation.com David Bishop, president and a founder Matrix Technologies, www.matrixti.com Daniel E. Capano, president, Diversified Technical Services Inc. of Stamford, CT, www.linkedin.com/in/daniel-capano-7b886bb0 Frank Lamb, founder and owner Automation Consulting LLC, www.automationllc.com Joe Martin, president and founder Martin Control Systems, www.martincsi.com Rick Pierro, president and co-founder Superior Controls, www.superiorcontrols.com Mark Voigtmann, partner, automation practice lead Faegre Baker Daniels, www.FaegreBD.com
CFE Media Contributor Guidelines Overview Content For Engineers. That’s what CFE Media stands for, and what CFE Media is all about – engineers sharing with their peers. We welcome content submissions for all interested parties in engineering. We will use those materials online, on our website, in print and in newsletters to keep engineers informed about the products, solutions and industry trends. www.controleng.com/contribute explains how to submit press releases, products, images and graphics, bylined feature articles, case studies, white papers, and other media. * Content should focus on helping engineers solve problems. Articles that are commercial or are critical of other products or organizations will be rejected. (Technology discussions and comparative tables may be accepted if non-promotional and if contributor corroborates information with sources cited.) * If the content meets criteria noted in guidelines, expect to see it first on our Websites. Content for our e-newsletters comes from content already available on our Websites. All content for print also will be online. All content that appears in our print magazines will appear as space permits, and we will indicate in print if more content from that article is available online. * Deadlines for feature articles intended for the print magazines are at least two months in advance of the publication date. Again, it is best to discuss all feature articles with the appropriate content manager prior to submission. Learn more at: www.controleng.com/contribute
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Control Engineering 2020 Industrial Internet of Things (IIoT), process and machine control systems, automation and instrumentation are among the topics Control Engineering will advance in 2020, a year that suggests perfect vision and hindsight, as we mark 65 years in September 2019.
C
ontrol engineering seeks self-optimization by virtue of the control loop: measure, decide, actuate and repeat. In this 65th anniversary issue, we reflect what developments are shaping the future of control engineering, as we look ahead, with clarity of vision, to 2020, with help from subscribers and other industry experts. A word cloud of next year’s editorial calendar emphasizes key areas:
creating a brighter future by working with us to learn from and teach others. Our heartfelt thanks for all those the world over who have contributed these past 65 years. Learn how to shape the future at www.controleng.com/contribute and www.controleng.com/2020articles. ce Mark T. Hoske is content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
• Industrial Internet of Things (IIoT) • Process and machine control systems • Automation
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ANSWERS
AUTOMATION FUTURE Kym Watson, Fraunhofer IOSB, Industrial Internet Consortium member
Smart Factory Web Testbed The Smart Factory Web Testbed aims to set up a web-based platform to allow factories to offer production capabilities and share resources to improve order fulfillment in a more flexible way than is possible with available technology.
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he Smart Factory Web Testbed is designed to be a step towards establishing a marketplace for manufacturing where one can look for factories with specific capabilities and assets to meet production requirements. Factories offering those capabilities can then register to be located and participate in the marketplace. This requires up-todate information about the capabilities and status of assets in the factory. The characteristics of the products — availability, quality, price and so on — provides a basis for possible negotiation between competing offers. For this application to work, international standards such as OPC Unified Architecture (OPC UA) and AutomationML are needed to link factories into the testbed to provide information about the factories in a standardized way. This innovation enables production facilities to offer their services in a global market business and adapt their production in a very efficient way. The testbed also enables cross-site usage scenarios with secure plug and work functions and KEYWORDS: Industrial internet, data analytics. tested, Industrie 4.0 It reduces information technology (IT) The Smart Factory Web Testbed allows manufacturers system integration and installation costs, to look for factories with specific allowing for faster engineering and rampcapabilities and assets to meet up time of components, machines, plants production requirements. and IT systems—improving upon the utiliThe testbed also employs many zation of equipment. The core functionalstandards from groups such as ity is to describe the capabilities of factory Fraunhofer IPA and OPC UA. assets in a standardized way, to find assets ONLINE with the capabilities to access status data Read this article online at about these assets so they may be included www.controleng.com for more in the overall order management. information about the Smart Factory Web Testbed, its effects The testbed is directed mainly towards in manufacturing, testbed small-lot size environments rather than planning, standards, more large manufacturers; companies working results, collaboration, and a link with larger line orders usually have a supto planning. ply chain management system and do not www.smartfactoryweb.de need to be as flexible and responsive due CONSIDER THIS to order size. For smaller-scale production, What benefits could your there are more examples of where a modcompany gain from the Smart erate or smaller number of a part is to be Factory Web Testbed? produced, and machine capabilities need
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to be configured. Spare production resources may be offered to improve utilization. The testbed’s primary use cases involve manufacturers seeking a factory to produce certain parts. The manufacturer accesses the database to find a factory with the right capabilities, and a potential target is identified. After negotiating with the target factory about delivery route, schedules, price and other factors, an order can be placed. The target factory may need to adapt its production to meet the requested product specifications, and it wants to do this as efficiently as possible. Once the production order is finished, the factory provides the finished or partial product to the original manufacturer or to another element in the overall supply chain. This usage scenario, Order Driven Adaptive Production, is a combination of the application scenarios “order controlled production” and “adaptable factory” as defined by Plattform Industrie 4.0 (PI4.0)[1]. This scenario is split into six sub-scenarios: Sub-Scenario 1.1 Publish: Registration of Smart Factories: Realized in Phase 1: “Geospatial Mapping and Factory Information” with the help of AutomationML to describe factory capabilities and assets. Sub-scenario 1.2 Find: Discovering Smart Factories: Realized in Phase 1: “Geospatial Mapping and Factory Information” to find smart factories registered in the Smart Factory Web with the desired capabilities best matching the order requirements. Sub-scenario 1.3 Order: Management and execution of orders in the Smart Factory Web: The workflows to broker, orchestrate and process production orders in the testbed constitute this sub-scenario, but they are not yet part of experimentation in this testbed. A proof-of-concept implementation in the Smart Factory Web Testbed will handle the ordering workflows and modeling of supply chains. Sub-Scenario 1.4 Adapt: Adapting the Factory Production: Realized in Phase 2: “Plug & Work” to flexibly and efficiently adapt a production facility to meet order requirements. Sub-Scenario 1.5 Bind: Smart Factory Web Asset Connectivity and Monitoring: Realized in Phase 3: “Data & Service Integration” to provide current information on product and asset status (including www.controleng.com
availability of free capacity) for exploitation in the Smart Factory Web, especially to support the discovery process and linking of supply chains through secure data exchange. The Smart Factory Web information model will be updated dynamically. Sub-Scenario 1.6 Collaborate: Collaborative Engineering: To be realized in Phase 4: “Collaboration” to enhance the efficient adaptation of factory production with shared engineering workflows and software plug and work.
Technologies for the testbed
There are three primary technologies involved in the testbed. The first is the IEC 62541 standardOPC UA, used to implement data communication between factories in the testbed. Second, the IEC 62714 standard-AutomationML is used to describe the necessary information models — the semantics of the data transport from the factory to the testbed. The other fundamental technology is the testbed portal, a web-based information management system and application development environment which provides full support for access rights, work flows and ontology-based information models. The testbed is driving standards by providing feedback to standards bodies — OPC UA, AutomationML, and standards work within the IIC and PI4.0. Other organizations are working on asset administration. The testbed is designed to tackle the whole combination of technologies involved.
Testbed results
There are five phases in the testbed: 1. Geospatial mapping and factory information; 2. Plug and work; 3. Data and service integration; 4. Collaboration; and 5. Ecosystem development. The testbed’s architecture and experiences gained in the testbed over all phases will be documented in a technical design report to be published as a whitepaper in 2019. The testbed team plans to extend the report to describe the work being done in the Digital Twin/PI4.0 Component testbed, a project under the IIC-PI4.0 Joint Task Group and on data sovereignty following the concepts of the International Data Spaces Architecture. The first three phases have been completed up through the data and service integration. Phase 4 involves the collaborative software engineering of these systems and overlaps with Phase 5 covering cooperative projects with other initiatives. On-going work on the system architecture will include new developments with the Asset Administration Shell, as well as extensions of the testbed to support the Negotiation Automation Platform from NEC. The collaborative software engineering phase is ongoing — intensifying the work on the Asset Administration Shell, on the extension of the Smart Factory Web platform for other testbeds, and for IDSA work. The technical report highlights the description of assets in AutomationML, covering: • Their capabilities based on an ontology (to diswww.controleng.com
Figure 1: Smart Factory Web as a marketplace for manufacturing. All images courtesy: IIC, Fraunhofer IOSB and KETI
Figure 2: Phases of the Smart Factory Web Testbed
cover and integrate them as resources in a factory or supply chain), • The definition of data to be sent to Smart Factory Web and Microsoft Azure through OPC UA or SensorThings API and • The visualization of asset data in Smart Factory Web and Microsoft Azure. Phase 4 focuses is on collaborating to achieve the necessary software engineering to integrate factories, the engineers of the various factories and assets in the factories are needed to provide data and semantics of their assets in a way that can be integrated into a cloud — Smart Factory Web or Microsoft Azure. A notable level of interest in the testbed from the industry has resulted customer engagement. Fraunhofer is working to form advanced, leading-edge models and move them into the industry. To enable this entrance into the field, the testbed has had ongoing discussions with industrial companies to transfer research and development results from the experimental environment. Fraunhofer IOSB is transferring general knowledge and training as part of its mission, and the testbed has conducted training exercises on OPC UA and AutomationML for the industry. Fraunhofer IOSB has transferred this knowledge to its testbed partner KETI, which is conducting similar training sessions for Korean companies. Another example of customer engagement is consultancy work control engineering
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AUTOMATION FUTURE
Figure 3: Timeline of the Smart Factory Web Testbed has five stages.
on how to design factories of the future and how to set them up to include new emerging technologies. This area represents a challenge because there are so many new technologies arising, and it is difficult for anyone to assess if these technologies will have a real impact and can be relied on for 15 years. In addition, the testbed must be able to transfer these technologies to client applications, help set up the necessary software environments and concepts, and take a multitude of steps to implement the Smart Factory Web Testbed or aspects of the testbed in the clients’ own workflows. It is crucial to increase the level of understanding and skills about certain technologies — trust in those technologies needs to be established so there is a sufficient level of proven experimentation and best practices on how to apply the technologies. This level of trust is necessary before using these technologies in critical manufacturing applications where large production costs and employee well being is at stake. One of the major lessons learned is open interfaces based on standards are essential to realizing a system architecture that can be adapted to changing requirements and technologies with a reasonable effort. The technical design report will contain best practices and how to set up the overall system architecture. It will be a blueprint comprised of advice on how to accomplish this integration sustainably. The testbed derives different forms of business value from participating in the IIC Testbed Program. The testbed has procured new projects in the Industrial Internet of Things (IIoT) domain based on the experiences gained, as well as IIC’s marketing support. The Smart Factory Web Testbed offers three pieces of advice to other testbeds and companies considering an IIoT implementation: www.controleng.com
• Follow open standards as far as possible on both the communication and data modelling level • Develop a sustainable, robust and flexible implementation architecture where one can make adaptations and demonstrate new technologies. • Ensure there are sufficient accompanying projects to maintain synergy, funding and stakeholder commitment — this will bring the testbed from concept to reality and help maintain it over a period of several years. ce Kym Watson, Fraunhofer IOSB and Industrial Internet Consortium member, on behalf of the Smart Factory Web Testbed team comprising Fraunhofer IOSB, KETI and Microsoft. Smart Factory Web is an IIC testbed. The IIC is a CFE Media content partner. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. control engineering
Figure 4: 3-tier architecture for factory integration. Abbreviations AML: AutomationML, CEP: Complex Event Processing, OGC: Open Geospatial Consortium, FROST: Fraunhofer Open Source SensorThings API Server
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ANSWERS
AUTOMATION FUTURE Dr. Keshab Panda, L&T Technology Services
Future of automation: discern the possibilities, potential Industrial automation is on the threshold of a new revolution, moving through rapid technology changes, adoption of new systems and networking architectures and looking toward interoperability of devices and systems.
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he industrial automation space has traditionally been resistant to innovation or early adoption of high-end technologies. More often than not, enterprises in this segment have preferred to leverage proven technologies and standards to ensure safe, secure and consistent operations over time. However, things have started to change radically with the advent of Industry 4.0. The industrial space has been impacted with incremental technology changes, rapid adoption of new systems and augmented networking architectures over the last decade. Many experts believe that while Industry 4.0 is gradually percolating through many industrial revolutions, we are already at the cusp of Industry 5.0. Industrial automation is poised to deliver almost $209 billion in revenue by 2020 with new instrumentation and control products driving the growth. Industrial technologies such as robotics, cloud, the Industrial Internet of Things (IIoT) and artificial intelligence (AI) are becoming increasingly pervasive. Where will industrial automation go from here, and how will it shape the future of manufacturing?
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KEYWORDS: Automation future, Industry 4.0, Industry 5.0 Industrial automation is accelerating. New technologies, systems, networks and architectures make automation more efficient. Next is interoperability of devices and systems. CONSIDER THIS Implementing Industry 4.0 advances will lead to interoperable devices and systems.
ONLINE www.controleng.com/ iiot-Industry-4-0/
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September 2019
Beyond Industry 4.0
The convergence of advanced information, communication and networking technologies is driving automation and its industrial applications. This symbiosis of technologies has enabled integration and collaboration of people and machines across the factory floor and the supply chain. This trend has had a major impact on industrial controllers. Traditionally, automation systems have had a proprietary design because of the need for close-knit process structures that operate in real-time. This helped suppliers forge close partnerships with the end-user. The model also cre-
control engineering
ated vendor lock-ins that allowed manufacturers to source control systems from one supplier. This also eliminated the ability to implement state-of-theart applications and technologies from other vendors. Unfortunately, in the long run, this inhibited a manufacturerâ&#x20AC;&#x2122;s ability to innovate and harness technology for the betterment of its processes. Today, as digitization enables manufacturers to use data in a variety of ways, there is a collective need to implement scalable control systems that allow a manufacturing process to scale according to business needs. Given the proliferation of large-scale, continuous and parameterized industrial devices digitization has fostered, this need will turn into an obligation.
Vertical, horizontal integration
Manufacturers looking to successfully converge have to vertically and horizontally integrate advanced control systems with lower field sensing and data acquisition layer and enterprise management systems. This means, apart from integrating control platform properties, such as motion control, sequence control, logic control, programming and human-machine interface (HMI) configurations, manufacturers also will have to stress integrating control system functionalities such as remote access, condition monitoring, remote diagnostics, etc. One integrated control platform will enable companies to enhance efficiency and productivity and achieve plant-wide process optimization and enhanced user experience. The evolution of programmable logic controllers (PLCs) will play a key role in driving the industryâ&#x20AC;&#x2122;s revolution into this new era. With greater programming flexibility and convenience, scalability, more memory, smaller form factor, high-speed (Gigabit) Ethernet and embedded wireless functionalities, future PLCs will adapt technology improvements in software, communications and hardware. A significant part of this evolution will include the integration of PLCs and programmable automation controllers (PACs), which facilitates communication between www.controleng.com
Control system trends drive the future of automation by easier integration, connectivity, and advanced intelligences. Courtesy: L&T Technology Services
the plant floor and other processes. To achieve this, controller manufacturers will have to find a PLC to control an application and provide the necessary tools to collate, analyze and present process data to a user as and when required. This could include providing data access through mobile apps or web browsers. It’s important to note managing a network of high-end controllers spells significant capital expenditure in the form of hardware and infrastructure investments for companies. In addition, proprietary hardware stacks hinder operational flexibility while adding cost and complexity in controller deployments. Virtualization can help companies create a difference here.
Virtualized controllers
Unlike commercial off-the-shelf (COTS) options, virtualized control systems such as PLCs, distributed control systems (DCSs), HMIs and supervisory control and data acquisition (SCADA) systems require fewer physical servers. Virtualized control functions can also be consolidated and embedded into one platform rather than deploying each function as a separate application. This flexibility of an open, software-based control architecture allows companies to upgrade control processes, optimize them and expedite the deployment of new functions. Recently, a provider of engineering services and aerospace systems launched a platform that let control system manufacturers design and develop applications in less time, at a lower cost and with modular and simple builds. Operating in a virtualized environment, the software transforms how control systems are maintained over their life cycles. Shifting day-to-day server management to a dedicated, centralized data center where specific protocols manage the application performance enables plant engineers to focus on control system optimization. As automation and the control systems evolve, instrumentation will simultaneously develop to
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‘
Proprietary automation systems created vendor lock-ins and eliminated the option to implement state-of-the-art applications and technologies from other vendors and
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inhibited process innovation.
accommodate the changes. So, how will future of instrumentation shape up? Easy-to-read dashboards will continue creating an impact in the future, allowing for instrumentation that is more interactive and approachable to plant operators. Networked instrumentation has already been adopted in manufacturing plants across the world. Instead of allowing operators assess instrumentation near the process where it’s installed, networked systems can transmit data to one hub where it’s compiled and analyzed for use.
Incremental upgrades: Industry 5.0
The convergence of technologies creates an avenue for manufacturers to take that next leap towards the fifth industrial revolution where disparate industrial automation systems will share resources and act in synergy. To stay ahead of the curve, companies will have to capitalize on the technologies already out there, accelerate technology implementation and unlock new sources of value. After all, the move to the next phase of automation is more of an incremental upgrade with technology still serving as a primary driver for innovation. ce
Dr. Keshab Panda is CEO and managing director, L&T Technology Services. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com. control engineering
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ANSWERS
AUTOMATION FUTURE Frank J. Bartos, P.E., Control Engineering, retired
5 enduring developments in electronic motion control Motor drives, power-switching transistors and microprocessors, sophisticated control algorithms, software influences, and mechatronic integration are among the standout electronic motion control developments.
P
erhaps the pace of developments has slowed over the past six-plus decades, yet innovations continue in the maturing technologies of electronic motion control. Five developments in electronic motion control are anticipated to continue to drive advancements.
1. Electric motor drives
Electric drives power myriad manufacturing and process lines worldwide. Variable frequency drives (VFDs), delivering reliable speed and torque control of the industrial workhorse ac induction motor, represent one of the biggest developments over time. The ability of newer-model VFDs to control permanentmagnet ac synchronous motors adds to their versatility. Servo and stepper drives have made remarkable performance advances in torque and position control of various types of servo and stepper motors. They complement the scene at their respective lower power ranges. Hardware and software innovations were the enablers for these electric drives. KEYWORDS: Motion control, Prime hardware developments include motor control, VFDs power-switching transistors and microFive trends in motion control processors. The second category comshaped the past and guide the prises new software tools that allowed future. execution of sophisticated control algoMotor drives and powerswitching transistors and rithms not possible in the past. With microprocessors wider availability, software also made Motion control algorithms, electric motor drives more user friendly. software influences, and Dramatic size and weight reductions mechatronic integration. have especially been realized in VFDs. CONSIDER THIS Bulky cabinets gave way to compact elecWhich key motion tronic housings that could be located near developments do you need motors to suit specific manufacturing plant to advance motion control layouts — even mounted on the motor, optimization? depending on power needs of the appliONLINE cation. In the 1990s, a class of so-called If reading from the digital “microdrives” sprang up, which included edition, click on the headline to a 0.19 kW model able to fit into a technilink to 15 references with links and much more on each point. cian’s shirt pocket. This is an impractical www.controleng.com/magazine application, yes, but a vivid illustration of
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possibilities. Servo and stepper drives have benefitted from ongoing electronic controls miniaturization.
2. Power-switching devices, microprocessors
Power-switching transistors that shape input current/voltage waveforms for motor control are at the heart of electric drives. The silicon-controlled rectifier (a type of solid-state switch) and the gate turnoff thyristor (a power semiconductor) served the power-switching role in the early drives. They represent matured technology and see limited application, mainly in some large-power drive applications. With the proliferation of computers and digital technology, motor drives moved to digital microprocessor (MPU)-based designs that continue to dominate the scene. A newer class of semiconductor, the insulated-gate bipolar transistor (IGBT) came along, which has become the prime powerswitching device for present-day electric motor drives. IGBTs combine best features of a metaloxide semiconductor field-effect transistor (MOSFET) input and a bipolar transistor output. They provide fast switching and lower losses due to the
Figure 1: Computer simulations via appropriate software can perform virtual prototype tests to evaluate different motion control system designs before committing to build hardware. Source: Yaskawa Electric www.controleng.com
Figure 2: A prime example of mechatronic integration is the combining of motor and drive components into one package. Exploded view of an integrated step motor shows the technique, which is applicable to other electric motor types as well. Courtesy: Applied Motion
insulated gate, among other features. IGBT advances, for example, include faster switching speeds and the ability to operate at higher voltages. Microprocessors and digital signal processors (DSPs) also are continually increasing their capabilities. Higher computation speeds allow faster response to load dynamics and near real-time communication with other parts of the motion system. Memory can squeeze more capacity into microchips. More sophisticated motion control algorithms can be implemented in software and hardware.
3. Control sophistication
Versatile ac variable-frequency drives offer three principal motor control methods. Open-loop control (also called Volts per Hertz (V/hZ) or scalar) was the first and simplest method to come along. It provides reasonable speed regulation and runs without a feedback device. Flux-vector control (FVC) is at the highest level of VFD performance and has several variations. Field-oriented FVC models characteristics of the dc motor to ac motors, via independent control of flux-producing (magnetizing) and torque-producing current components to derive optimal control of motor torque and power. FVC uses a feedback device (usually an encoder) to obtain motor shaft position and speed information. Control algorithms rely on sophisticated motor models and implement separate speed and torque loops. Full vector control can deliver high torque at low speeds — even near zero rpm. Between the above extremes lies sensorless vector control (SVC) — also called open-loop vector control — still another alternative to improve low-speed torque, speed regulation, and starting torque capability over V/Hz drives. While SVC drives work without a feedback device, they can estimate — using motor current and voltage signals — torque current, magnetizing current, and the vector relationship between them necessary for precise motor control. They also rely on an accurate motor model. Newer VFDs offer all control types noted above, even V/Hz, because of its usefulness in certain applications.
4. Software influences
The equations and motor models were available early on, but their implementation into software for dynamic motion control programs and algorithms had to wait until computers became commonplace. In parallel, continual performance improvement
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occurred in MPUs, digital signal processors, and microchips for executing programs in motion controllers and motor drives. Higher execution speeds and huge memory growth were made possible. One result was the ability and the economic rationale to incorporate multiple motor-control topologies noted above in the same electronic drive. A simple software parameter change could thereby change control modes. Another aspect of motion control software is assistance in the set-up of an electronic drive/motor combination — especially for servo drives. Simulation is a further area of software innovation. It allows “virtual prototyping” of motion control systems in software before building hardware.
5. Mechatronic integration
Mechanical and electronic systems traditionally worked as physically separated units. The motion control arena experienced a huge change in this regard in the mid-1990s when electric motor and control integration came on the scene in a big way. A flurry of products was introduced by many manufacturers — first as combinations of ac induction motors with VFDs in one package, so-called integrated motors. Then similar combined units became available for servo and stepper motors and their respective controllers. Various benefits can be attributed to having control electronics onboard motors — for example, lower installation costs without long cabling between motors and drives and associated conduit trays, fewer system components, easier diagnostics and maintenance, and simpler control architecture. However, integrated motors have experienced less success than expected, mainly in the induction motor and drive sector. Perhaps this is due to fewer favorable applications or user ambivalence. Still, these induction motor/drive combinations remain in the market for sizes up to 22 kW, serving appropriate applications and in hybrid control architectures. Today, the road ahead remains open to continued developments in these five areas of electronic motion control. ce control engineering
Frank J Bartos, P.E, retired, is a former Control Engineering executive editor and consulting editor. braunbart@sbcglobal. net. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
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ANSWERS
AUTOMATION FUTURE Jason Urso, Honeywell Process Solutions
Shift in control system design Project execution using a process control system highly integrated virtual environment melds software and networking to uncouple control applications from physical equipment, and controllers from physical I/O. This reduces capital cost, creates standardization and eliminates some non-value-added work.
T
he world is changing at an unprecedented pace, and process control technologies have responded by adapting Lean project execution principles, software, and networking to decouple control applications from physical equipment, and controllers from physical input/output (I/O). Modular designs allow multiple controllers to form one virtual controller. Such technologies used in the connected global economy help business decisions to be agile and accurate. Processes must execute with speed and efficiency. Projects must be completed on time and within budget. Workers must react to changing circumstances with confidence based on available and precise data. Technology must enable success, not hinder it. Few technology environments are more complex than those required for industrial control systems (ICSs). These environments must incorporate critical functions including cybersecurity, redundancy, highspeed networking and deterministic operations. This helps customers control safety-critical process manufacturing facilities with the highest levels of reliability. Process control systems (PCSs) have served the process industries more than 30 years. Many opportunities to harness the power of new technologies and make a step change in benefits remain. The process industry continues to have an opportunity to KEYWORDS: Virtual process drive down capital cost by shifting from controllers, modular I/O customization to standardization and Lean project execution helps control system design. eliminating significant amounts of nonHigh-speed Ethernet field value-added work. With installed systems, I/O network enables smarter improved operations continue by convertdesigns, cybersecurity. ing data into knowledge and transforming Design the controls, assign to a knowledge into more precise action. controller, and it finds its relevant Ultimately, the process industry has I/O. more opportunity to execute projects in CONSIDER THIS less time with lower risk while improving Streamlined control designs will throughput, quality and operational relienable benefits more quickly. ability. Decades of implementations and ONLINE customer collaborations provide first-hand If reading from the digital knowledge of the pain points impeding edition, click on the headline for more on faster commissioning. project efficiencies and limiting customers www.controleng.com/magazine from achieving and sustaining best opera-
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tions. Helping customers overcome these roadblocks has resulted in a new approach to deploying and operating ICSs by integrating a virtual environment. Automation can be implemented effectively by applying Lean execution methods for automation projects. Such a strategy removes the traditional dependencies that used to force project flows to be sequential by combining universal I/O devices, virtualization, virtual engineering and automated commissioning. Doing so separates physical from functional design, breaks down task dependencies, uses standardized designs, and enables engineering to be done from anywhere in the world, resulting in significant risk and cost reductions.
Less complexity, modular design
New generations of control system technologies use Lean project execution principles, software and networking to unchain control applications from physical equipment and controllers from physical I/O. This enables control systems to be engineered and implemented in less time, at lower cost and risk, and with simpler, modular builds. This transforms how control systems are maintained, shifting day-today management of servers to a centralized data center, where experts and established protocols mitigate cybersecurity risk, allowing plant engineers to focus more proactively on control system optimization. Eliminating complexity, decoupling control from the physical platform and reducing information technology (IT) costs can remove roadblocks preventing simplified control system design, implementation and lifecycle management for project operations. Moving I/O to the field shifts the process control system closer to production units. Control centers are jammed with customized system cabinets along with massive amounts of wiring with little documentation. Distributing the control system closer to the process equipment achieves greater project savings with fewer wires and engineering hours in a smaller space. Some facilities have implemented remote I/O strategies to reduce project costs, but other opportunities are inherent such as modular and parallel project execution. To achieve the next generation of benewww.controleng.com
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ANSWERS
AUTOMATION FUTURE
Project execution with a new generation control system: Honeywell Experion PKS Honeywell Integrated Virtual Environment (HIVE) uses Lean project execution principles (the Honeywell LEAP process was introduced in 2014), software and networking to decouple control applications from physical equipment, and controllers from physical input/output (I/O) devices. Modular designs allow multiple controllers to form one virtual controller. PKS stands for process knowledge system. Courtesy: Honeywell Process Solutions
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fits, consider a high-speed Ethernet field I/O network that connects controllers to universal I/O mounted in the production areas. Such communications should be cybersecure with a built-in firewall and enhanced with encryption technologies where needed while providing the technology to accommodate an inevitable increase in the amount of sensed data.
Four architecture advantages
Benefits of such an architecture include: 1. Universal I/O discovery capability allows a controller to access any networked I/O module and channel. A traditional approach of controller to I/O communication requires a direct one-to-one physical connection between controller and I/O cabinet. Networked I/O eliminates a significant amount of planning and manual work. The system designer engineers the control strategy and assigns it to a controller and it will find its relevant I/O. This decreases project engineering planning and engineering. 2. Packaged control capability provides a simple software option to deliver redundant control with high-speed performance. As a process controller subset, these control capabilities are ideal for packaged equipment and provide regulatory, sequence and logic controls. This eliminates the need for complicated subsystem integration. 3. A universal wireless hotspot provides wired or wireless communication to field instruments and allows each field I/O box to be a wireless hotspot, if needed. This enables field workers to execute digital procedures with live access to control system data during commissioning and operations. 4. Modular commissioning provides the ability to commission field I/O cabinets independent of the control system. With this capability, controllers can run on a laptop, plug into the remote cabinet at a module yard and perform a set of commissioning activities as if connected to the rest of the control system. With this flexibility, modular builds spanning multiple yards becomes simple.
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These combined capabilities provide significant engineering, enabling projects to execute in less time with lower risk. For example, eliminating the risk and re-work inherent to late changes ensures automation does not become the critical path [bottleneck to completion]. Adding a new I/O as a result of change extends the control system network without requiring complicated changes to the control system. Traditional control engineering during a project requires meticulous planning since it is driven by a rigid hierarchical approach defined by a tightly bound physical relationships between controllers and I/O. Inefficiencies, re-work and risk materialize during seemingly inevitable late changes to I/O or controls that require a physical reconfiguration of the system. By allowing multiple physical controllers to appear as one virtual controller, the control architecture becomes a controller data center where process controls can be automatically load-balanced across the available controller computing resources. The advantages are powerful, especially when applied to the processing of late changes. It avoids the need to manually assign control strategies to specific controllers.
Cut process control IT costs
The virtualization technology described reduces IT costs by eliminating the amount of physical IT nodes by as much as 80%. However, even with that effort, a large IT infrastructure remains onsite for reliability and scope of loss reasons. Lifecycle costs decrease by using virtualization, which replicates virtual machine files from offsite to the onsite location. This fault-tolerant architecture enables operations from a central operations center or a regional data center. It has the same level of high reliability expected for critical process control. ce
Jason Urso is vice president and chief technology officer, Honeywell Process Solutions. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media, mhoske@cfemedia.com. www.controleng.com
ANSWERS
AUTOMATION FUTURE: TRAINING Mark T. Hoske, Control Engineering
Continuing education advances process productivity Process control productivity requires education for optimal technology specification, integration and use. Industrial suppliers are among those doing the educating.
H
ands-on training with actual process control hardware and software provides more realistic and memorable experiences, exposing seasoned veterans and next-generation digital workforce to real-world situations to improve productivity and decrease training requirements. To help process, batch, and hybrid industrial processes accelerate digital transformation and teach related workforces, Emerson has constructed three interactive plant environments (IPEs). The Minneapolis Interactive Plant Environment located in Shakopee, Minn., provides a safe training environment using more than 400 automation devices and products and more than 500 input/output (I/O) points, according to Steve Tooley, senior global customer and service training manager, global education, Emerson.
Training for pressure, flow, level, temperature, valves, wireless
Measurement points on site include pressure, flow, level, temperature, corrosion, flame and gas, liquid analysis, and gas chromatography. The facility allows instructors to set up realistic situations with hardware and software after classroom and bench training using 15 tanks and vessels, in three levels. Students can emulate production processes by moving water and mineral oil, avoiding interactions with hazardous chemicals or process interruptions at their sites. The three IPE sites are among 24 Emerson regional North America Training Centers offering on-site instructor-led courses, virtual classroom, eLearning and blended-learning options. Tooley said each facility helps recent graduates and industry veterans learn or review critical skills in process manufacturing and operations using actual process units and instrumentation. Tooley added that hands-on learning helps students learn quickly and effectively. After learning (or reviewing) practical controls and automation theories in a classroom, and at a benchtop setting, students can receive work orders
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and go into the plant environment to perform what they’ve learned. Putting theory into practice with real-world scenarios, Tooley said, can expose students to common and rare situations to practice appropriate actions and responses. Courses can include device commissioning, calibration, and figuring out if a challenging measurement point is valid. They also review safety permits and required tools to complete different work orders and operate plants more efficiently. IPE helps by limiting distractions engineers and technicians might experience in their facilities, providing a wider vision of how a plant operates, explained Blaine Williams, global education manager, Emerson. Instructors, using years of field service experience, also mentor students to increase their skills. Beyond formal or customized training, some customers schedule time in the facility to integrate and try various combinations of devices, equipment, systems, or software prior to purchase. “Once students experience what we can do here, they often ask to stay longer and work on other things,” Williams said. The company’s first interactive plant KEYWORDS: Process control training, instrumentation environment facility opened in 2014 at training Emerson’s Service Center in Charlotte, Hands-on training augments N.C. The second facility, in Shakopee, is benchtop, classroom. co-located with Emerson’s “innovation Interact with instruments, headquarters for Rosemount products sensors and DCS. and services.” Augmented reality, wireless,
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Classroom, benchtop, hands-on training for devices, systems
Device and control system training can include tasks and scenarios such as: • Setup and use of process control networks and communications, such as 4 to 20 mA, Wi-Fi wireless (IEEE 802.11), and FieldComm Group’s WirelessHART, HART, and Foundation Fieldbus. control engineering
asset management and process troubleshooting.
CONSIDER THIS Is your team receiving training needed to optimize efficiencies?
ONLINE If reading from the digital edition, click on the headline for more links. www.controleng.com/magazine See CFE Edu online courses http://cfeedu.cfemedia.com
September 2019
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ANSWERS
AUTOMATION FUTURE: TRAINING
The Emerson Minneapolis Interactive Plant Environment in Shakopee, Minn., provides a safe training environment using more than 400 automation devices and products and more than 500 input/output (I/O) points, along with Emerson’s DeltaV distributed control system and other enabling software. Courtesy: Emerson and Rick Peters, InsideOut Studios Inc. The Emerson Interactive Plant Environment is designed to enhance learning experiences using Emerson Rosemount products simulating real-life plant situations. Immersive training models plant environments to replicate most common (and unexpected) process scenarios. Courtesy: Emerson and Rick Peters, InsideOut Studios Inc.
Benign oil and water processes at the Emerson Interactive Plant Environment offers students a breadth of measurement points, enabling contextual training within a hazard-free environment. The goal is to build process proficiency and knowledge that far exceeds basic classroom knowledge. Courtesy: Emerson
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• Work on pressure, temperature, level, and multivariable flow in classroom, bench, and in-plant settings • Using a handheld device, such as a smartphone or tablet, to stroke a valve or view control system parameters and operations • Force a 4 to 20mA output on devices • Advanced troubleshooting and maintenance • Error identification and reengineering of settings and measurement points • Bleeding a valve • Batch tank overfilling • Radar sensor disruption • Transmitter calibration and troubleshooting • Corrosion measurements • Safety instrumented systems (SIS) and firewalls • Setup and use of variable frequency drives
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• Power monitoring, alarms, and notifications • Review of possible power and grounding issues • Review of FM global audit procedures • Device testing, removal and servicing • Use of applications such as augmented reality to see device tags and status, asset management software, mobile software, cloud-based connections, SIS and other software • Process safety scenarios • Training or marketing video production in a low-risk environment. “We go to plants and do simulations, but hardware and software configurations at IPE facilities make digital transformations more real inside realworld operations,” Williams said. “Since the IPE is a digitally transformed plant, we are able to demonstrate live diagnostic data and the benefits of our digital tools that allow students to better understand how to become more effective and increase their knowledge and skills,” Tooley added.
Even incremental changes can help
Even for field-service engineers that have been doing these things for 30 years or more, incremental changes in procedures can add up. “Using a ruggedized tablet to commission devices saves time and money by being able to view the control system ensuring the device is properly commissioned. Thus, eliminating the need to involve an operator to validate device status,” Williams said. ce
Mark T. Hoske is content manager, Control Engineering, CFE Media, mhoske@cfemedia.com, from facility tour notes and information from Emerson. www.controleng.com
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ANSWERS
AUTOMATION FUTURE John Bernet, Fluke Corp.
Evolution of modern manufacturing: more data The Industrial Internet of Things (IIoT) and Industry 4.0 are widely known concepts, have not been widely adopted. On the way, physical device data connectivity can increase information flow to add efficiency, eliminate errors and increase uptime.
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oday’s manufacturing industry looks vastly different than it did decades ago and rapid technological change has reshaped what’s possible. As smartphones have replaced clipboards, the day-to-day work of manufacturing has evolved to include Big Data and real-time automation. The workforce is changing, too, and companies have their sights on very different goals. So how did manufacturing get to where it is today? And what does tomorrow hold?
The data revolution, reliability
Traditionally, manufacturing companies struggled with incomplete and manual processes. A few highvalue assets garnered all the attention. Measurements never made it into the system of record, or the data collection required specific and expensive expertise. With the Industrial Internet of Things (IIoT), data collection and data analysis have been transformed. What would have required hours of expert analysis can be done by a computer in a fraction of the time. Automation gives us more data with less effort, gives us context for the data and turns the data into actionable insights. In a reactive environment, failures required teams to call in experts. That much-needed expertise drove up maintenance costs and extended downtime. With the introduction of smart tools, maintenance teams can handle the initial screening themselves, resolving many common equipment problems prior to failure and avoiding shutdown and external fees. Because of the advancements of Industry 4.0 and smart technology, operators and technicians are doing more in-house work. As tools have become smarter, they’ve also become multifunctional and less expensive. As electronics continue to evolve, the possibilities for industrial test and measurement will keep expanding. While the concept of reliability has been around for 30 or 40 years, smart technology has made it attainable for businesses of every size. Many manufacturing companies have been operating run-to-failure maintenance for decades. But more companies are
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seeing a better path forward and embracing that being competitive means adopting new ideas. This means retraining personnel and using data insights to gain an edge. Reliability used to be considered a nice-to-have concept. Maintenance teams and management would say, “Reliability would be great if we had the resources or time.” The practice seemed limited to big companies where either downtime or assets were very expensive — top-tier machinery that would require a million-dollar fix needed sensors and telemetry to keep it healthy. Today, even small companies are adopting a reliability strategy to stay competitive. A plant that runs smoothly and efficiently is more profitable and can better recruit new talent.
Changing demographics
As team members with decades of specialized experience have retired, many manufacturing companies have had to deal with a loss of knowledge. It can be difficult to hire replacements at a similar level of expertise. The resulting skills gap poses a significant obstacle to the adoption of predictive maintenance practices. The good news is new hires are often more computer savvy. Digital natives are quick to learn automated data gathering, data manipulation, dashboard creation and real-time analysis. In the past, maintenance teams focused on troubleshooting and scheduled maintenance rounds. When an asset failed, the goal was to get it back up and running as soon as possible. Today, the goal is to get ahead of potential issues and predict impending faults. This means team members have to be more cross-functional and interdependent. There control engineering
COVER: Leveraging mobile-enabled maintenance technologies allows teams to stay more connected than ever. Maintenance and reliability professionals can view the data they need to finish the job right the first time. It also keeps them out of dangerous areas, such as arc-flash zones. Courtesy:
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ANSWERS
AUTOMATION FUTURE
While traditional maintenance teams completed manual routes, organizations that capitalize on modern technologies can stream asset data to the cloud. By eliminating manual measurements, personnel can attend to needed repairs and the ever-expanding backlog of work orders. Courtesy: Fluke Corp.
is more to this type of work than replacing bearings, seals, couplings and belts based on a calendar cadence. The digital transformation has made it possible to find the root cause early and keep machines running better and longer. Teams can reduce spending by monitoring conditional change and getting the full life out of each part. The transition from 100% reactive maintenance to planned maintenance or condition-based maintenance doesn’t happen overnight. Successful companies start by using small pilot programs and grow by proving success on a small scale to get buy-in based on results. The right tools integrated into a user-friendly system can track and trend data to detect problems before they cause downtime. By maximizing uptime and production, maintenance has become a strategic entity that impacts profitability and adds value to a manufacturing business. IIoT and Industry 4.0 are widely-known concepts though have not been widely adopted. Data connectivity in physical devices that can communicate with each other, and be remotely monitored, has business value. Work processes can become more efficient,
data entry errors are minimized or eliminated, and uptime increases while failures decrease. Data properly collected and leveraged provides critical insights and makes it possible to act at the most convenient times. Tools such as computerized maintenance management software eliminate the data silos by giving teams needed information at their fingertips. Paying attention to more than the bottom line creates business value. ce John Bernet is mechanical application and product specialist, Fluke Corp. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
M More ANSWERS
KEYWORDS: IIoT, data analytics, smart maintenance Information enables predictive maintenance. Pilot projects can show Industry 4.0 and IIoT benefits. CONSIDER THIS What could help your processes flow more smoothly?
ONLINE Click on the digital edition headline for more resources. www.controleng.com/magazine www.controleng.com/iiot-industrie-4-0
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ANSWERS
AUTOMATION FUTURE Stone Shi, Control Engineering China
Digital twins, engineering future automation Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.
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any enterprises today are talking about the concept of “digital twins.” Among them, the enterprises engaged in digital solutions such as product lifecycle management (PLM) tend to be the leaders and extend it into automation. Some people even say digital twins are an indispensable form of technology for Industrial Internet of Things (IIoT) applications. In addition to the value everyone delights in talking about, what is the extended value of digital twins?
Value from digital twins
Digital twins can enable the mass data flow brought by the IIoT in the future to remain efficient, orderly and secure in the process of integration, exchange and transfer. Admittedly, in the IIoT era, with the further popularization of low-energy consumption micro-sensor, 5G and other applications, people will be able to collect many kinds of physical data in real time. Economic efficiency and simulation of building the digital world also will be improved. But such progress does not mean that there is no need to consider cost, bandwidth and orderliness for Big Data transmission in the IIoT era. Previously, in many depictions of the IIoT future, people tend to assume data will be freely and directly exchanged between two or more objects. However, in a real and specific application scenario, it is more likely these data exchanges will take place between the “twins” of these objects in the digital world or among various information platforms, without the need for “direct dialogue.”
Application examples
Automobile enterprise service departments and even traffic management departments need to retrieve relevant data of a vehicle for their respective needs, it’s not hard to imagine they won’t need to call data directly from a vehicle sensor each time, but just need to read the specified data from the digital twin, which represents an accurate state of the real vehicle. This greatly reduces the repeated collection and transmission of data, thus reducing burdens to the system and protocol, as well as cost.
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Substantial transformation
Extending this scenario to industrial situations with larger data volume, improvements will be substantial. Taking digital twins as the only interface for the exchange of data between real commodities, equipment, production lines and the outside world is also conducive to the effective setting and management of the access to data reading and application. Even today, digital twins is a concept mainly restricted to specialized fields. In the IIoT era, when Big Data is on the explosive increase, use of digital twins expand beyond management personnel and technical professionals. With a more user-friendly and customizable interface, it will transform the mode that goods, equipment and projects are delivered and served by enabling ordinary users to enjoy value from it.
Dual delivery: physical, digital
In the future, from ordinary consumers to professional industry users, extra value from data collection and analysis will be more important than just focusing on physical-world deliverables. Dual delivery in the physical and digital worlds will become a normal state, allowing users to develop limitless potential of the easy-to-operate and easyto-extend digital twins. Combined with the development of assistive technologies such as augmented reality (AR), such potential will be doubled and redoubled. For professional users, this means they can organize synergies and optimize business processes and production processes more quickly. For ordinary consumers, they can obtain diversified functions and experience from digital twins. Even if consumers don’t have to operate digital twins directly, this change also is expected to improve after-sales service and other aspects. Let us expect these scenarios to become reality as soon as possible. ce
Stone Shi is executive editor-in-chief, Control Engineering China. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com. control engineering
M More ANSWERS KEYWORDS: Future of
digital twin, digitalization, Big Data Accelerated use of digital twins seems like as more data is collected in the product lifecycle. Industrial benefits for digital twins will be driven by optimization potential. Delivery of physical and digital products will become common.
CONSIDER THIS How can accelerated adoption of digital twins deliver competitive advantages?
ONLINE www.cechina.cn www.controleng.com/ international
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AUTOMATION FUTURE Lisa Richter, Control System Integrators Association
Improvement by association: engineers collaborate on best practices At the core of Control System Integrators Association (CSIA) are people willing to share experiences and best practices to help each other succeed with business skills and technologies for control system integration. EDITOR’S NOTE: Some of the best attributes of humanity can be seen in a roomful of engineers openly helping and learning from each other, rather than regarding others with distrust and suspicion. This case study in collaboration shows how associations can create a brighter future by integrating knowledge and cooperation.
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KEYWORDS: System
integrators, best practices, association case study Associations can help members share knowledge to build a better future. CSIA marked 25 years of sharing system integration best practices in 2019. System integrators can help with digital transformation.
CONSIDER THIS What would you have rather learned from someone else, rather than having experienced it yourself?
ONLINE Online version of this article has more information. CSIA provides more about its founding, including sources for info cited at www.controlsys.org/ about/history. Control Engineering provides more information on system integration topics at www.controleng.com/ system-integration.
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n 2019, the Control System Integrators Association (CSIA) celebrated a quarter of a century and came full circle when it returned to North Carolina 25 years later, April 29 through May 3, for its Executive Conference. The event, which drew more than 530 attendees globally, offered education and networking in formal and informal settings to help system integrators (SIs) stay current, grow their businesses and prepare for the future. It also offered the opportunity to celebrate the 25th anniversary of its founding with an opportunity to reflect on its humble beginnings.
Steve Jobs of the CSIA
Originally known as systems houses or simply integrators, control system integrators emerged as an independent profession in the 1960s, when computers first arrived on the factory floors and inside industrial control houses. The people who developed the expertise to program and connect the technology that heralded a new industrial revolution came from various academic and professional lineages; no one forum existed for members of this emerging profession.
control engineering
Charlie Bergman, a retired engineer, recognized the emergence of the control system integrator as an independent profession and began publishing a four-page newsletter in 1989. It supported this emerging profession by publishing information on how to run a successful business. Subscribers could benchmark their progress by sharing sales trends and other key statistics.
Foundational values
Less than 5 years later, 25 of Bergman’s readers met at the Shell Island Resort, a small hotel in Wrightsville Beach, N.C. Many were skeptical about consorting with competitors and potentially giving away their secret sauce. But instead of finding a you-can’t-touch-this mentality, these pioneers discovered a culture of sharing and support. “Most of us were guarded, at best,” said CSIA co-founder Jamie Jordan, now president of Stravicom Global Inc., a professional services firm in Charleston, S.C. “But Charlie encouraged us by telling us that those who share with others will be strengthened and will also strengthen the industry.” Co-founder Robert Zeigenfuse, president of Avanceon, in Exton, Pa., agreed. “Charlie established, with his now infamous pitch, ‘Share one idea and get 10 in return and save $50,000 of consulting,’” he said. “He [Bergman] established the norm of unselfishly sharing of business practices. This alone sets our organization and industry apart from all others I have seen.”
Sharing ideas, lessons
Profits from the first meeting seeded the second conference in 1994, where attendees voted to form the association as an affiliate of the National Elecwww.controleng.com
The Hot Stove panel at the 2019 CSIA Executive Conference included (left to right) Mark Voigtmann, partner, Faegre Baker Daniels; Nigel James, president, Burrow Global Services; Adrian Fahey, CEO, Sage Automation; and Ray Bachelor, chair, Bachelor Controls. Those involved share experiences no one should repeat, like sitting on a hot stove. Courtesy: Control System Integrators Association
trical Manufacturers Association (NEMA), which would eventually become the standalone CSIA. Since then, the association has grown from a small group of early adopters to its current size of more than 500 member companies in 35 countries. The association also has expanded on its core competency of exchanging ideas, solutions and lessons learned to create additional member benefits such as a Best Practices and Benchmarking Manual, certification and continuing education, and insurance and legal programs specific to system integrators. From Bergman’s vision came the defining concept of the future of CSIA: Sharing knowledge, best practices and key performance indicators (KPIs) to advance the success of all SIs. Co-founder Pat Miller, chair, Engineered Energy Solutions Inc., Somerville, N.J., who was instrumental in organizing the earliest efforts, recalled: “Charlie told us to share ideas with one another, and it would come back tenfold.” But the conference was not all spent in the past. In fact, it provided the perfect opportunity to also focus on going forward. “To keep the association relevant, we have been working with the next generation of leaders,” said Jose Rivera, CSIA CEO. “As we have been doing at recent conferences, a lunch was organized to allow this group to get to know each other better. Professional speaker Lisa Ryan shared her advice regarding onboarding younger generations. In addition, a panel of SI company owners provided career guidance to future leaders.” The association continues to look ahead with the theme of the 2020 Executive Conference: “Claiming the Role of the SI in the Digital Transformation.” In addition, CSIA has formed a task force to tackle this emerging trend and help its members prepare for the future. “This task force is to figure out if industrial automation SIs have a role to play in the digital transformation beyond their traditional role of technology implementation,” Rivera said. “If so, what is this role, and what do SIs need to do to prepare for this emerging opportunity?” ce www.controleng.com
Lisa Richter, industry director for the Control System Integrators Association in Oakbrook Terrace, Ill. CSIA, which is a CFE Media and Technology content partner and global, nonprofit professional association with a mission to advance the practice of control system integration to benefit members and its clients. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media, mhoske@cfemedia.com.
According to Charlie Bergman... CONTEMPORARIES of Charlie Bergman describe him as a “visionary,” “pioneer,” “thought leader.” In the same breath, they describe him as intelligent, persistent, opinionated, even “cantankerous.” It’s difficult to say which of these described traits he would have considered most flattering. But all would agree, he had a way with words. Here are some of the more notable quotables: • “If you’re not keeping score, you’re only practicing.” • “Competition is good and will take you to higher profits.” • “Pricing professional services is not for amateurs.” • “Once users’ needs are met, wants explode.” • “People do business with those they like.”
How CSIA helps FROM THE OUTSET, the common thread throughout CSIA’s activities has been to raise the bar of knowledge and performance for those involved. To that end, CSIA is committed to: • Improving the business skills of its members • Helping integration firms of all sizes, engineering specialties, product experience and industry knowledge share their collective business wisdom to help control their individual destinies • Providing a forum to discuss common business issues • Enhancing the professionalism of independent control and information system integrators • Communicating the resulting benefits to the broad business community.
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ANSWERS
MOBILE HMI
Jonathan Griffith, AutomationDirect
HMI remote-access options Among mobile human-machine interface connections, seek more cybersecurity.
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obile human-machine interface (HMI) access is a necessity for many industrial automation applications, and two typical methods exist to implement this connectivity with routers and virtual private networks (VPNs): A standard router without VPN and a cloud-hosted VPN router. The first is a standard router, and although it is not secure, it is still used in many existing mobile HMI applications, and even in some newer ones. A primary attraction is its low cost, but this approach is discouraged because it poses significant cybersecurity risks when port forwarding is enabled in the firewall as this exposes the network to external threats. A cloud-hosted VPN router simplifies information technology (IT) complexity by creating an encrypted connection from a local VPN router to a cloud-hosted VPN router via the internet. Remote users can securely access the local components and systems via the cloud-hosted VPN router. This lowers cybersecurity risk and eases configuration and maintenance. A third type of router connectivity with a traditional VPN router implementation is not considered here because it involves opening inbound connections and creates complications and risks similar to a standard router implementation.
M More ANSWERS
KEYWORDS: Mobile HMI,
secure VPN monitoring Options for mobile HMI access include a standard router, cloudbased VPN router, or creating inbound connections. Security needs to be considered. Simpler options have advantages.
CONSIDER THIS Could more mobile HMI access help you do your job better?
ONLINE If reading from the digital edition, click on the headline for more including table comparison of remote access HMI connections. www.controleng.com/magazine www.controleng.com/ info-management/hmi-oi
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Standard router
In many industrial applications a standard router and firewall is used to protect the corporate and industrial plant network, requiring users to manually configure and manage all routing and firewall settings. This type of router does not usually have a VPN to encrypt data, but it creates port forwarding “holes” in the firewall for remote users to access specific applications and components in the plant network. Most HMI users want remote and local access. Laptops normally connect to the HMI web server for monitoring data and making changes to setpoints and other parameters, or they connect to the HMI with programming software to troubleshoot or make program changes. To connect remotely using a standard router, port forwarding is usually configured to allow access to the HMI, or to a local PC running remote access software.
control engineering
The local PC provides the remote user with the ability to run the HMI programming software. HMI mobile apps also require port forwarding so the remote user can access the local HMI for control or viewing data. These apps usually provide the same functionality as browser-based remote access, but via an app rather than a browser. The main concern with this approach is the security risk associated with port forwarding in mobile and PC-based applications. It’s easy for a hacker to determine which ports are open on a firewall, and gain access to the corporate or plant network via the router. While port forwarding can be extremely efficient and useful when done within a corporate or plant network, it is extremely dangerous to use this functionality at an internet-corporate interface. Organizations should avoid this router approach for new installations and should convert existing standard router installations to a more secure connection such as a cloud-hosted VPN router instead.
Cloud-hosted VPN router
Cloud-hosted VPNs provide a secure connection with simple setup and network configuration. Typical cloud-hosted VPN options include a local VPN router, a cloud-hosted VPN server, a VPN client and connected automation components (Figure 1). A secure connection is established after the local router (at the plant/controls network) and VPN client (software installed at the user’s laptop or mobile device) each make a connection to the cloud-hosted VPN server. The local router makes this connection immediately upon startup, but a VPN client only connects upon a verified request from a remote user. Once both connections have been made, all data passing through this VPN tunnel is secure. Most cloud-hosted VPNs provide a free monthly bandwidth allocation for basic operation and then throttle data access once this allocation is reached, and also offer a premium plan for additional bandwidth. For example, one product offers 5GB of free VPN data exchange per month, sufficient for most troubleshooting, monitoring and programming needs. Security risk is reduced when the local router initiates communication to the server via an outbound connection through standard open ports, such as HTTPS. This usually avoids changes to the corporate IT firewall and satisfies IT security concerns. To add confidence, users can look for cloud-hosted VPNs that have an industry-certified information security managewww.controleng.com
ment system such as ISO/IEC 27001:2013. This indicates the supplier has implemented comprehensive security programs and controls. Another advantage of a cloud-hosted VPN is simple router configuration. Since the secure local router will be connected to a predefined cloud server, the router comes preconfigured with complicated VPN networking settings in place, allowing non-IT staff to install it. All that’s required is knowing the IP addresses of the automation components connected to the local area network and if the internet service provider (ISP) or corporate-wide area network router (not the cloud-hosted VPN router) provides IP addresses dynamically or statically. Other advanced options may include cloud data logging and alarm notification, which provides a subset of HMI functionality and also is easier to use than custom programming. These services allow users to log system data and receive customized critical alarms on their mobile devices or laptops, providing a convenient, web-based historical record of system performance available when needed.
Mobile app-based remote access
Industrial HMI and programmable logic controller (PLC) components are increasingly supported with mobile apps. This provides users with remote access anytime from anywhere, with monitoring and control capabilities. To securely access industrial equipment, the mobile device must also employ VPN technology to encrypt the data from the mobile device to the plant network. Without mobile VPN, the firewall ports at the plant will need to be opened, creating a similar scenario to the standard router and leaving the plant network vulnerable to a cyberattack. Using a hosted VPN provides a secure VPN connection for laptops and mobile devices; the latter is via a fully supported mobile application with VPN. Once securely connected to the plant network through the mobile VPN app, the third-party HMI or PLC app can then be opened and connected to the local HMI and PLC components as if the mobile user was on-site, because the user is there virtually. Some routers provide a hosted VPN with connections for laptops and mobile devices. Apple iOS and Google Android mobile device apps provide users with a secure plant network connection. Some cloud-hosted VPN vendors also provide app-based access to data logging software running in the cloud, along with widgets for configuring customized dashboards to be viewed remotely (Figure 2). This built-in cloud logging could be particularly effective for an original equipment manufacturing (OEM) machine builder with thousands of machines installed worldwide at hundreds of locations, each with multiple users. The OEM would provide a VPN router for each machine, pre-configured to log data and including customized dashboards for remote viewing on the mobile app. No effort would be required by the OEM’s customers to
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Figure 1: AutomationDirect’s StrideLinx cloud-hosted VPN offers secure connectivity for mobile HMI applications hosted on laptops, smartphones and tablets. Images courtesy: AutomationDirect Figure 2: AutomationDirect’s C-more HMI mobile app works securely when used with the secure StrideLinx VPN router. It’s also available for Google Android.
configure, install or maintain remote access software — other than installing an app on a smartphone or tablet. For more comprehensive access beyond dashboards, remote users could access local HMIs and PLCs via apps using the mobile VPN from the hosted VPN supplier. Some mobile HMI software works securely when used with a supplier-specific VPN router. Local equipment also could be securely accessed remotely by a PC for programming, monitoring or troubleshooting. ce Jonathan Griffith is product manager for industrial communications and power supplies at AutomationDirect. Edited by Mark T. Hoske, content manager, Control Engineering, mhoske@cfemedia.com. control engineering
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MOBILE HMI
Daymon Thompson, Beckhoff Automation
New mobile HMI designs respond to user, device needs HMI software should mix elements of web design and controls engineering to create effective operator interfaces for industrial displays and mobile devices of all sizes.
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s mobile devices are more commonly used to manage industrial operations, web-based options for human-machine interfaces (HMIs) continue to grow. Flexible operator interfaces based on HTML5 and JavaScript enable access from ruggedized industrial tablets and consumer technologies, including wearables, smartphones and tablets from any manufacturer. Recent HMI software advances provide the ability to create responsive, web-based operator interfaces with multi-touch for intuitive operation. Although this software relies on information technology (IT) design standards, it also must be reliable from an industrial standpoint. In addition, these HMIs operate and monitor multivendor architectures that require special connectivity measures. For many years, engineers integrated HMI solely for control panels inside factoKEYWORDS: humanries. When using mobile devices became a machine interface, mobile possibility, the interfaces, at first, were crude HMI interpretations of screens with some alarms Mobile human-machine interface (HMI) technology and notifications from the plant floor. Multican take advantage of touch functionality on an industrial display HTML5 and CSS to create was a pipe dream. more interactive interfaces Mobile-first design strategies are imporfor users. tant for ensuring the HMI is ready for smartResponsive HMI phones, tablets and the like. Above all, it is components can speed up the design process for users. important to consider HMI as a responsive Mobile HMI allows users to operations tool rather than a series of pages; complete tasks off-site with a software should leverage the mobile devices secure connection. power and ease of use..
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Read this article at www.controleng.com for links to additional stories from the author on topics such as machine design and data acquisition strategies.
CONSIDER THIS What mobile HMI features would help your plant the most?
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Responsive HMI designs
The term responsive means content on HMI screens should adapt different layouts based on the screen’s specifications. This is particularly true for mobile devices. It is difficult displaying a lot of text and graphics on smaller screens. Fingers are much less precise navigation tools than a computer mouse or keyboard. Designing HMIs as dynamic syscontrol engineering
tems with reusable components and themes, rather than static pages built from scratch every time, allows engineers to create responsive interfaces that adapt to each user’s screen size and device type. These concerns should be considered during the design phase, rather than after the design for the “standard” HMI screen has already been finished. It’s also possible to harmonize the mobile touch interface with the industrial displays by selecting control panels and panel PCs that integrate multi-touch functionality. When evaluating HMI software, engineers should ensure platforms support all of these capabilities for industrial and mobile screens. Responsive content begins with dividing the screen’s layout into blocks that can automatically reorient depending on screen width. For example, four content blocks may display all at once on a computer monitor or mid-size industrial control panel. On a smartphone, however, they should stack on top of each other, allowing the user to see one at a time while scrolling down. Similarly, a menu bar across the top of a wider screen should automatically convert into a dropdown menu icon on a tablet, which is referred to as a hamburger button in mobile interface design. This does not reduce the amount of content or functionality available. Instead, it makes the content more digestible based on the hardware used. These principles are familiar to web designers, but for controls engineers, they may not be as apparent.
Familiar programming environments
While larger companies may have user experience (UX) teams dedicated to mobile interface creation, many factories and machine builder original equipment manufacturers (OEMs) rely on a group of controls engineers for these upgrades. Rather than requiring engineers to learn a new programming environment, some HMI software supports programming via familiar platforms such as the automation software. This means controls engineers have a shorter www.controleng.com
Multi-client
HMI software should support programming in a graphical editor familiar to controls engineers, such as Microsoft Visual Studio, and offer standard tools to implement CSS themes and build additional programs with APIs. All images courtesy: Beckhoff Automation
learning curve when programming HMIs, in part, because they can manage all machine code and projects in the same place. Graphical editors should allow engineers to build responsive, HTML5 and JavaScript-based HMIs with the same toolset and programming environment used for the machine control programming. They should also provide a toolbox stocked with premade interface components to cover common elements such as buttons, dials, sliders and menu layouts. Having reusable HMI control components accelerates the design process. This includes various buttons and alarms that perform the same function throughout the system. Engineers also should select software that supports themes for Cascading Style Sheets (CSS) to build new pages without having to create new style parameters for each object. With some software packages, CSS is generated based on theme designs and works in the background to enable faster implementation. For example, colors and styles for alarms, content blocks or body text automatically apply to new pages. If a specific style requires adjustments or updates, these happen in a central location and take effect across the platform. HMI software also should be extensible. If preset controls cannot be customized enough for specific tasks, then the software should provide an integrated application programming interface (API). Some HMI software allows users to create objects once and store them as reusable extensions to the HMI software for future use. This capability enables engineers to create whatever program they require in C# that can talk to a piece of hardware, another API, an obsolete database, or a custom protocol as long as there is a server connection.
HMI servers, real-world connectivity
Mobile HMI allows operators to complete plantfloor tasks onsite or offsite via a web browser and
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a secure connection. However, to enable this capability for multi-client, multi-server and multi-runtime concepts, an HMI server must support powerful architectures. Some software supports servers on local devices or in the cloud. As a result, client devices can use communication protocols, such as OPC UA, automation device specification (ADS) or ADS over message queuing telemetry transport (MQTT), ensuring reliable and secure data transmission between devices and the server. With data binding, engineers can link specific controls in the HMI to field devices. To avoid issues from communicating through multiple servers and technologies, some software packages make connections from virtual buttons on the HMI to actual functions in the programmable logic controller (PLC) via OPC UA, as an adopted protocol for its vendor independence and built-in security mechanisms. These connections are represented in a treebrowsing menu, which allows users either to browse the memory of the control device or to browse the namespace of an OPC-enabled device. While many HMI platforms require users to complete the timeconsuming process of mapping these connections upfront, others perform this function in the background for faster configuration and programming. From server architectures to responsive designs, effective mobile HMIs ensure engineers can interface with real systems in an intuitive manner. This capability is extremely important if systems require remote troubleshooting or data access. Mobile HMI has the power to modernize many applications and provide access to live production data anywhere. Because HMI performs such crucial functions, engineers must design and implement it with reliable software that values controls engineering and user experience design best practices. ce
HMI servers should support multi-client, multi-server and multiruntime concepts, providing options for local or cloud-based servers and secure communication protocols, such as OPC Unified Architecture, Automation Device Specification or ADS over MQTT (message queuing telemetry transport).
Daymon Thompson is automation product manager â&#x20AC;&#x201D; North America, Beckhoff Automation. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. control engineering
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MOBILE HMI
Mariana Dionisio and Danny Strinden, Emerson
Mobile HMI strategy helps digital transformation Leveraging a mobile human-machine interface (HMI) strategy can help an organization’s digital transformation by improving operations and a company’s overall digital intelligence.
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he prospect of a digital transformation journey for an organization can be daunting, but a shortcut might be near. A mobile-friendly environment with an intuitive human-machine interface (HMI) can help advance an organization’s digital transformation by expanding digital intelligence throughout the workforce and improving operations. By using familiar mobile devices such as phones and tablets (Figure 1) to securely access important process information including displays, alarms, real-time values and historical trends, organizations can create new efficiencies and competencies. This brings positive cultural and behavioral changes. Organizations also can leverage a mobile HMI strategy to foster additional competencies related to digital transformation, such as decision support and continuous situational awareness. KEYWORDS: human-machine
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interface, HMI, process control system, PCS Mobile human-machine interface (HMI) technology can help companies improve their digital transformation. Giving operations secure information on their mobile devices can improve their response to abnormal situations. Mobile HMI technology also can improve collaboration by letting users share real-time information with one another.
ONLINE Read this article online at www.controleng.com for more information about mobile HMIs on the plant floor.
CONSIDER THIS What immediate benefits could a mobile HMI strategy provide to your company?
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Simple information access
Simple, read-only mobile access to process information and displays from an HMI control system can quickly progress organizations on a digital transformation journey by helping to extend a secure architecture in a way that will continue to be useful. Since mobile connectivity is now nearly ubiquitous, extending mobility and enabling users to access plant process data is a natural progression. This access can be achieved by adding a digital layer to existing systems. This allows organizations to leverage current mobile devices and wireless or cellular networks to securely access and share critical process information. Mobile software natively integrated with process control systems (PCSs) offer additional benefits including a
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cybersecurity architecture that supports network and information security. Adding native, readonly mobile access to a PCS within an organization’s existing secure mobile environment delivers the process information personnel need, wherever and whenever they need it. An enterprise also will continue leveraging its established architecture as it continues implementing further digital transformation initiatives.
Extend access, widen understanding
Since mobile access is implemented as a digital layer on top of the PCS, mobile HMI software needs to aggregate information from multiple sources, allowing personnel access to data across the enterprise. Mobile HMI design tools need to distill a torrent of data from throughout the enterprise into a stream of actionable information relevant to each person’s role. These tools should be tailored to prevent personnel from failing to make the right decisions due to data overload. As an organization’s digital transformation evolves, the amount of available process and enterprise data will increase over time; so will the need to turn large amounts of data into information. Mobile HMIs also may include tools that help limit which information personnel have permission to access. In this case, mobile software natively integrated with the PCS may take advantage of existing data access permissions, and additional limitations or security extensions can be designed for the mobile HMI software.
Digital transformation competencies
A digitally transformed organization will be able to gather, filter, and analyze more data. The organization can turn it into actionable information specific to each role. By leveraging existing systems and architecture, and by adding secure, read-only mobile access, organizations can create new effiwww.controleng.com
ciencies and build competencies resulting in positive cultural and behavioral changes as well as operational improvements. Situational awareness — Mobile access to critical process information provides enhanced situational awareness whether personnel are located next to the equipment, in the office or offsite. Increased awareness along with meaningful, intuitive visualization of data can assist in analysis and can drive accurate and more rapid decisions. Notifications can be received natively on mobile devices so people in any location can maintain visibility into process conditions and monitor abnormal situations. Rather than viewing numbers and interpreting them to build knowledge, mobile HMIs can display operator graphics, trends and other charts such as those shown in Figure 2. These types of visualization provide more information than the raw data by giving personnel a more qualitative, intuitive and holistic picture of a company’s operations. Decision support — Personnel can use decisionsupport tools and analytics with mobile devices for faster and higher-quality decisions. A mobile HMI can aggregate and present the data on screens that are easy to understand, enabling personnel to make informed decisions based on operational data from across the enterprise. Key performance indicators (KPIs) are measurements of enterprise performance that provide valuable decision support and are commonly calculated from data aggregated from multiple sources. A mobile platform capable of securely displaying KPIs can be especially valuable for delivering this knowledge to personnel outside of the control room. Mobile users have, for example, found success in monitoring and addressing environmental KPIs that have exceeded targets. By having immediate mobile access to this information, operators can quickly deliver information to management. This lets operators handle decision-making processes involving multiple data sources to better manage the process and their environmental limits. In addition, mobile devices provide analytics to personnel so they can frame plans and respond to an abnormal situation no matter where they are. Personnel also have the flexibility to access additional data and go deeper into analyses as needed.
Team, enterprise collaboration
Using a mobile HMI strategy to provide continuous situational awareness and improved decision support can enhance collaboration and act as a catalyst for digital transformation. Through a natively integrated mobile HMI, personnel will use the same operator displays, alarms, trends, and other charts to collaborate and troubleshoot issues. These HMI elements provide a common language among operators, engineers, managers and technicians.
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Figure 1: Intuitive mobile HMIs allow an organization to take advantage of positive cultural and behavioral changes related to digital transformation, in part by leveraging the same screens and information as operators use in the control room. Images courtesy: Emerson
For example, an international organization revealed one of its biggest operational challenges was clear communication among field operators and control room operators. By taking advantage of a natively integrated mobile HMI, the field operators and control room operators were able to collaborate by using a shared language. This improved efficiency and reduced the potential for safety incidents. This common HMI language in a mobile environment will help foster a collaborative cultural change within an organization. Using a mobile HMI, the enterprise will marshal resources around the same information and act as a team to collaborate on problems and make decisions based on collective knowledge. Today, organizations can build their knowledge base and encourage faster and more informed decisions based on secure mobile access to up-to-the-minute conditions. This process intelligence is empowered by mobile and intuitive HMIs. Organizations can take advantage of existing networks to extend knowledge to roles in any location, with instant information access that may have once been limited to control systems. Implementing mobile access to process information with intuitive HMIs provides an organization with an easy win that helps set the stage technically and culturally for future digital transformation efforts. ce
Figure 2: This radar-plot display increases situational awareness and allows the user to quickly see if a KPI value is deviating. In this example, the cooling water demand is starting increase.
Mariana Dionisio and Danny Strinden are DeltaV product managers, Emerson. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. control engineering
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MOBILE HMI AND SCADA Travis Cox, Inductive Automation
Using web browsers for HMI, SCADA applications New capabilities in mobile-responsive design make human-machine interfaces (HMIs) and supervisory control and data acquisition (SCADA) applications more valuable on the plant floor.
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mazing technology is at our fingertips today with HTML5 and CSS3 and native apps for phones and tablets. The adoption of mobile devices have taken over desktops as the preferred computing medium. Think of all the incredible applications leveraged daily; what if these were possible with a humanmachine interface/supervisory control and data acquisition (HMI/SCADA) application? Well, they are. Web browsers and web technology are mature enough for the industrial sector, and these improvements call for a new approach to HMI/SCADA. With the powerful tools, web technologies and next-generation visualization system in modern HMI/SCADA applications, users can build industrial applications that automatically respond to a unique situation. Modern tools also can mobilize the power of the plant floor by empowering the user to create beautiful, mobile-responsive industrial applications that run natively on KEYWORDS: HMI, SCADA, any mobile device and web browser. mobile devices Using a modern web browser proModern web browsers and vides access to an HMI/SCADA applidevelopments make HMI/SCADA cation anywhere without plugins. Users applications user-friendly for plant can get access to Google applications on floor applications. any device that supports a modern web Mobile-responsive design browser. The same can be true for HMI/ allows users to take information with them on the plant floor. SCADA applications. This is possible Security is a major concern for because of HTML5 and CSS3 and native HMI/SCADA applications being apps for phones and tablets. used on the plant floor. HTML5 is the fifth release for the ONLINE Hypertext Markup Language and is used Read this article online at to define and structure content on web www.controleng.com for pages. All web pages have implemented additional stories from the HTML in one way or another. CSS stands author on topics such as edge for Cascading Style Sheets, and CSS3 is computing and upgrading hardware and software systems. its latest release. CSS revolutionized how to define the layout of webpages, most CONSIDER THIS of which were built on HTML. CSS3 has What is the biggest obstacle to some advanced styling capabilities and can expanding mobile device use on your plant floor? be made responsive using media queries.
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This means such web pages have an optimized look for different screen sizes and resolutions.
New industrial mobile possibilities
These mature technologies provide many possibilities for HMI/SCADA applications including: • URL-friendly • Custom navigation • Powerful web components • Gestures and multi-touch • Mobile-responsive design • Styling • Federated identity: single sign-on (SSO) and two-factor authentication (2FA) • Native apps for Apple iOS and Google Android. Industrial web application designers need to control how users navigate and use applications. No two HMI/SCADA applications are the same so nothing can be pre-canned. Some applications have one screen. Others can navigate from one screen to another and drill into different sections or open popups for more detail. While navigating, a SCADA application should be URL-friendly and update the URL. Web applications work through URLs. They’re the addresses used to access various resources. Most of the time, they’re used to access a website on the internet. Users can copy the URL and send it to another user to get access to the same screen or resource without having to navigate to it. URLs also make it easy to understand where the user is in an application. Powerful user interface (UI) components are available for the web, and it’s easy to build components. People interact with these components a lot, and it’s easy to bring them into the HMI/ SCADA realm. Components such as powerful charts, menus, carousels, embedded maps and others support touch and gestures, such as swiping and multi-touch for zooming. They’re also mobilewww.controleng.com
responsive and designed to work well on desktops and smartphones. Mobile-responsive design is the most important feature with HTML5 and CSS3. It allows users to build one application that automatically changes to match the size of the screen, whether it’s a desktop, laptop, tablet, or phone. All modern websites are built with mobile-responsive design and present the same data but in different form factors based on the device. Users will get one view on a desktop with more detail — and a phone-optimized view on a smartphone. For example, if a user is looking at tabular data, they’ll get a traditional table with multiple columns on a desktop — but on a mobile device, there will be cards for each row. The table no longer shrinks down in the mobile device, losing column visibility. Every part of the HMI/SCADA could be built this way, which requires a new approach when thinking about the application. Building separate applications for mobile is a thing of the past. CSS provides styling for web pages. Users can develop style classes (objects) that are reusable and defined in one place. Styling can be for background colors, foreground colors, fonts, borders, and design elements. This allows users to switch the style on the fly or update parts of the style without having to go to each screen. Defining styles is an important part of HMI/SCADA development and ensures consistent styles across multiple applications. CSS3 also provides animation. An animated style class transitions through two or more style configurations over some period of time. For example, using an animated style class can be a powerful way to show data changes (such as an alarm state or machine state) on a component over time.
COVER inset: Modern web browsers are leveraged for new mobile capabilities and other capabilities in Ignition 8 from Inductive Automation. Images courtesy: Inductive Automation
Mobile-responsive design saves development time and seamlessly adjusts to screen size, as shown in Inductive Automation Ignition Perspective.
Securing SCADA systems Security is one of the most important parts of any HMI/SCADA application, especially as more users gain access. Most organizations already use several cloud applications, such as email, document sharing, and customer tracking. These applications use SSO with existing corporate credentials and allow access to all applications in one place. This is possible using trusted federated identity technologies, such as security assertion markup language (SAML) and OpenID Connect. It’s possible to use those technologies with SCADA. Instead of having shared accounts, each person can log in to securely gain access to data they need. These systems can verify identify through two-factor authentication (2FA), which requires credentials and an additional step like a PIN sent to their phone. Many organizations don’t allow SCADA applications on smartphones due to security concerns. Using this technology, however, allows users to get data from different applications effectively and securely. Smartphones also are incredible pieces of hardware technology. Smartphones have an amazing number of sensors built in such as GPS, camera, www.controleng.com
accelerometer, Bluetooth, and others. Applications can be made available to web browsers and smartphones at the same time. However, with smartphones, these applications can gain access to these sensors, which can unlock great opportunities. Imagine using the GPS to automatically switch to the appropriate screen as the user walks around the plant or by tagging their location when entering in data. Imagine being able to place barcodes in strategic areas users can scan to provide machine manuals, operating procedures, or other information. Imagine being able to take pictures or stream video of a process to a corporate support team for remote troubleshooting. Now is the time to leverage modern technologies in HMI/SCADA applications. And it’s never been easier. The possibilities are endless, and these technologies are available. ce Travis Cox is co-director of sales engineering at Inductive Automation. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. CONTROL ENGINEERING
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MOBILE HMI
Mark Howard, EU Automation
Mobile HMIs need to catch up
Mobile human-machine interfaces (HMIs) offer value, but may be overlooked because of cybersecurity and risk management issues.
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hile most people might not consider it one, the ATM is a great example of a human-machine interface (HMI). By using a keypad, or a touchscreen, the user operates the machine and instructs it to dispense cash according to the amount requested. This is a secure process using a PIN, built-in cameras and communication with the global bank network. ATMs are going mobile, as is banking in general. Banking customers want “anytime anywhere” capabilities, and plant managers using HMIs want the same luxury. Mobile HMIs are readily available, but their adoption has been slow in some industrial sectors. Cybersecurity, risk management and coverage are some of the reasons cited to explain this hesitation. A fixed HMI in a plant bridges the gap between human and machine. Using supervisory control and data acquisition (SCADA) software, the HMI displays information on the pressure, temperature and process data to provide an overview of the present situation on the plant floor. HMIs have modernized in the last decade and now can control and monitor multiple machines at once to provide a complete overview of a production facility. Mobile HMIs — accessed on smartphones, tablets and other handheld KEYWORDS: Human-machine devices — allow operators to monitor perinterface, HMI, cybersecurity formance, production and problems from Mobile human-machine anywhere. Potential benefits can be outinterface (HMI) devices have evolved a lot in the last decade. weighed by perceived risks.
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While mobile HMIs have improved, concerns remain about cybersecurity and risk, slowing adoption. Remote monitoring and control enable insights.
ONLINE Read this article online at www.controleng.com for more information about HMIs and cybersecurity and their effect on the plant floor.
CONSIDER THIS What benefits derive from adopting mobile HMIs?
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Mobile HMI challenges
Cybersecurity is a concern for any connected device. This is especially true for a device that can be taken anywhere, connected to any Wi-Fi hub, or even lost on public transport. Challenges have been addressed in other industries, such as banking, representing a lost opportunity for users in industrial applications. Mobile HMIs could boost profits due to quicker reaction times and insights into factory performance. Cybersecurity always will be a con-
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HMIs can now control and monitor multiple machines, to provide an overview of a production facility. Courtesy: EU Automation
cern for business owners. Many of today’s SCADA software providers have stringent protection in place with data encryption, firewalls and consistent patch management. Out-of-the-box mobile devices don’t have the same software protection as dedicated hardwire systems, wireless cybersecurity can be added with the same protection as fixed systems. Risk management is another perceived challenge. Facility managers may envision machines being controlled by mobile devices any and everywhere. Meanwhile, the confused operator on the factory floor doesn’t have a clue why the machine isn’t performing like it should. However, mobile HMIs have incorporated enough safeguards to allow for affective unattended remote operation. For example, in-situ cameras can detect if someone is present and alert the remote user, preventing injury from remote operation. Safeguards also can ensure the remote worker is in close enough proximity to be aware of local hazards such as storms or floods. Because of this need to localize people, the use of user profiles is increasingly important. These profiles will incorporate location awareness to prevent someone from accidentally operating a plant from home on their mobile device, or worse — a child finding a fun “game” to play. HMIs have the cybersecurity and safeguards in place to catch up. Remote monitoring and control from a mobile HMI will enable better insight of facilities, quicker reactions to problems, and more dynamic control of the plant. They can help ensure bottleneck are prevented and output is maximized. ce Mark Howard is U.S. manager, EU Automation. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. www.controleng.com
ANSWERS
ELECTRICAL CONTROL SAFETY Dave Durocher, Eaton
NFPA 70E standard changes to reduce electrical incidents Changes to the NFPA 70E standard will provide a better way to define risk assessment for energized work and reduce potential electrical incidents for workers.
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orking on energized equipment is one of the more dangerous scenarios technicians face in the field. As a result, there’s been a concerted industry effort to improve the understanding of electrical shock and arc flash hazards. I believe one of the most important standards in this safety push is the restructured language within the 2018 edition of the National Fire Protection Agency (NFPA) 70E “Standard for Electrical Safety in the Workplace.” In the past, the standard addressed electrical hazards and risks holistically when considering energized electrical work. But today’s latest guidelines now identify hazards and risks independently and include recommendations for a thorough risk analysis that considers the hazard, the planned work task, and the potential human error. Together, the changes result in a clearer understanding of energized work and help reduce electrical incidents.
Understand the improvements
Just a few years ago, the standard was comprised of five “hazard-risk” categories that outlined the required personal protection equipment (PPE) a worker had to wear to reduce electrical arc flash exposure. But today’s version addresses hazard and risk separately, to help site managers and technicians better understand the dangers of energized work via a series of linear steps. All parties must understand “hazard” and “risk” for this process to work: • A hazard is the calculated heat energy at any given point of an electrical system and is used to determine the correct level of PPE. A hazard is either present or not present.
NOTE: This article originally appeared in December 2018 Plant Engineering, another CFE Media and Technology publication. www.controleng.com
• Risk is the combination of likelihood and severity of a potential injury while performing the work task. To further illustrate risk, consider an electrician at a manufacturing plant operating a circuitbreaker disconnect on a 480V low-voltage motor control center (MCC) with the enclosure door closed. The likelihood of a shock injury is near zero, with no exposure to energized conductors, and the likelihood of an arc flash event is extremely low. Now consider a task where the electrician is using a multi-meter to test phase voltages with the MCC enclosure door open. The hazard is the same, but the risk of electrical injury from shock hazard and arc flash is higher because the electrician is exposed to energized conductors.
Changes in the 2018 NFPA 70E Standard result in a clearer understanding of energized work and help reduce electrical incidents. Image courtesy: Eaton
Do a thorough risk analysis
NFPA 70E requires an exhaustive risk assessment before energized work begins—a great safety advancement. A risk assessment reviews electrical hazards, the planned work task, and the protective measures required to maintain an acceptable level control engineering
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ELECTRICAL CONTROL SAFETY of risk. In practice, this means scheduling a workplan meeting to discuss and document issues for the task at hand, the tools required, maintenance history of the equipment, test records of the equipment requiring energized work, and the calculated amount of heat-energy exposure. The following summarizes the seven steps technicians should follow before performing energized work: 1. Characterize the hazard or the electrical process involved. 2. Identify the energized work to be performed. 3. Define failures that could result from exposure to electrical hazards and the potential for harm. 4. Assess the severity of the potential injury. 5. Determine the likelihood of the occurrence for every hazard. This includes consideration of the resulting impact of possible human error based on the planned work task, such as a tool dropped near energized conductors at a worker’s feet. 6. Define the level of risk for the associated hazard. 7. Wear appropriate PPE as determined during the hazard analysis. If the risk is too great, do not perform the energized task.
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KEYWORDS: Control panel safety, NFPA 70E NFPA 70E changes in 2018 include education about energized electrical work. Separate understanding of hazards and risks Consider the hazard, the planned work task, and the potential human error to help reduce electrical incidents. ONLINE With this article online, link to related articles.
CONSIDER THIS Are hazards adequately identified when the next energized control enclosure is opened is opened in your work area?
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The human factor
One new and important aspect of NFPA 70E’s prescribed risk analysis is the recognition of human error, as seen in step five, above. Per the standard, “Risk assessment procedures shall address the potential for human error and its negative consequences on people, processes, the work environment and equipment.” With that, standard users should not only look to have a detailed process for performing energized work, but also maintain some method of quantifying human error. In my opinion, accounting for error is an important addition to this evolving standard. To this end, some organizations require the issuance of energized work permits that account for the human element. This puts the onus on site leadership to double-check every detail before giving energized work the go-ahead, ensuring control engineering
an extra level of business accountability. If work involves unacceptable levels of hazard and/or risk, a decision to perform the work during a future planned outage can be made.
Lead on safety
NFPA 70E is an industry-consensus guide, not binding law, so it’s up to an individual business to choose to implement a site-specific electrical safety program. It’s important to note that industries do exist where turning off the power can lead to more severe problems. There are instances in the oil and gas industry, for example, where turning off the power can lead to a greater hazard than working on energized equipment. That said, I believe it’s in everyone’s best interest to wait for a planned future outage whenever possible instead of working on energized electrical equipment. Of course, leadership teams have the right to make their own choices. While one group may choose to issue energized work permits, another may skip that step, which is completely within its purview. However, organizations that forego work permits can pay a price. If someone is injured or killed during energized work, regulatory organizations such as OSHA or the Mine Safety and Health Administration (MSHA) may require an explanation as to how the work was allowed and ask for detailed safety program documentation, including a work permit. Beyond the standard, new technologies support recent trends of performing energized work outside a defined NFPA 70E flash-protection boundary. Site managers can look to network-connected devices, such as motor management relays, partial discharge on-line monitors, and motorized racking technologies, to gather the information they need to troubleshoot electrical systems without requiring workers to suit up and work on energized equipment.
To increase safety, follow NFPA 70E
While it’s always better to wait for a planned outage to work on electrical equipment, that’s not always an option. Should you need to perform energized work, be sure to identify the hazards and risks and complete a thorough risk analysis that considers all potential risks, including human error. With a clearer understanding of the consensus standards and maintenance/troubleshooting requirements of a defined energized task, you can do more to advance a safety culture at your site, helping to reduce the chances of shock and arc flash events in the future.
Dave Durocher is global mining, metal, and minerals industry manager for Eaton. ce www.controleng.com
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Manufacturing, automation leaders inspire, mentor Achievements in manufacturing and communities inspire mentors and younger engineers seeking to create greater efficiency, optimization and a brighter future. By McKenzie Burns, Production Coordinator; Amanda Pelliccione, Research Director; and Mark T. Hoske, Content Manager
T
he 2019 CFE Media and Technology Engineering Leaders Under 40 made significant contributions to the success of their companies and to the control and/or plant engineering professions. In a time when manufacturers seek to recruit, develop, inspire, and retain the next generation of diverse manufacturing professionals, these Engineering Leaders Under 40 Class of 2019 advance their professions, communities, and global efforts to promote engineering and improve the world.
Christopher Blackburn, 30 Senior Plant Engineer Henkel Aerospace Bay Point, Calif. BS Mechanical Engineering, San Francisco State University
E
ven at a young age, Chris’ critical-thinking skills and enjoyment of solving problems and working in manufacturing plants sets him apart. Chris has progressed from designing work platforms to complete work centers, collaborating with process engineering, R&D, quality and production. He also has tackled several difficult permitting processes. Chris is an avid San Jose Sharks fan and season-ticket holder. Outside of hockey, his other pastime is attending beer-tasting festivals. FUN FACT: Chris is involved with the volunteer group, Engineers Without Borders. • See more details in images and profiles at www.plantengineering.com/EngineeringLeaders
www.controleng.com
Highlights from the 30 winners range from Engineers Without Borders to glassmaking optimization, with significant amounts of engineering volunteer work, sports, mentoring, music, design, controls, restoration, communication, fermentation, and other fun in between.
Learn more below and read about past leaders at www.plantengineering.com/engineeringleaders.
Austin Butcher, 37 Engineering & Environmental Manager CertainTeed/Saint-Gobain Corp. McPherson, Kan. BS Engineering Technology (Plastics Engineering Technology), Pittsburg State University
A
ustin holds the ability to deliver outstanding results in several areas while connecting with all levels of an organization. He recently worked with a building product’s quality department to scope out and implement a mobile industrial robot solution, developing and delivering the training, and working through employee fears to gain buy in. Austin led efforts to complete a 38,000-sq-ft. plant expansion as well as install two new 3,500-ton injection molding machines to accommodate the business needs for the manufacturing plant. Austin and his plant-based team have focused on reducing the environmental footprint for the facility and won the State of Kansas Pollution Prevention Award for their efforts. FUN FACT: Austin is an assistant coach for his son’s baseball team. control engineering
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Baron Carleton, 30
Ethan Copitch, 30
Chief Operations Officer (COO)
Sub-System Engineer
Avalon International Aluminum Inc. Tualatin, Ore. MS Nuclear Engineering, Georgia Institute of Technology
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mmediately upon graduation from Georgia Tech, Baron began working in the family aluminum business. He recognized several engineering and design flaws in the products the company had been using and set about correcting them. In the process, he recognized the deficiency in the industry related to non-standard wall thicknesses — no one had a way to offer flush glazing in those circumstances. Baron developed, engineered and produced a solution he also patented, receiving wide acclaim for the product and the company. FUN FACT: Baron became an Eagle Scout at 12 years old.
Adam Cozat, 37 Operations Leader, Process Automation
Peraton Monrovia, Calif. BS Mechatronics Engineering, California State University Chico
E
than originally intended to major in nanomaterials in college, but changed his major when he saw limitations in the field. Despite his age, in four years he has not only become an expert in the controls field, but he has coordinated the interface between other fields in the facilities department at the NASA Deep Space Network. Ethan also has become knowledgeable of other disciplines and his guidance has led to significant department improvements. FUN FACT: In his free time, Ethan partakes in Amtgard LARPing, or live action roleplaying. This requires him to design and create medieval inspired garments including knight armor.
Keerthi Duraikkannan, 28 Albany Site Manager
Dow Midland, Mich.
Panacea Technologies Inc. East Greenbush, N.Y.
BS Electrical Engineering, Central Michigan
MS Electrical Engineering, Drexel University
A
dam is a very strong technical leader thanks to his background. Combining these technical abilities with his excellent interpersonal skills, Adam seems likely to build on engineering advances. In 2017, the company’s engineering leadership rewarded Adam’s technical acumen and leadership abilities by naming him process automation operation leader. This team is responsible for addressing many changing technologies under Adam’s leadership.
FUN FACT: Adam has a passion for gardening and loves seeing his family enjoy the fresh vegetables he harvests.
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eerthi is the type of leader that when the going gets tough he rolls up his sleeves and works right alongside his team. He has led and developed the youngest recruiting class at the system integration firm where he works and helped push them several years past age-related experiences. Keerthi has reverse engineered a coolant system without documentation and un-commented code by studying the mechanical system functionality, creating design specifications, and coding a new system that matched the original functionality with optimizations. FUN FACT: Keerthi was mocked in college for considering the idea of dancing, so he decided to compete in all the college dancing contests. While he didn’t win any competitions, he convinced quite a few of his dancing skills. www.controleng.com
Tyler Gaerke, 34
William Gallacher, 37
Consulting Product Engineer
Production Manager
Siemens Large Drives Applications Norwood, Ohio
Mestek Inc. Westfield, Ma. AS Electronics Technology, Coastline Community College
BS Electrical Engineering, Wright State University
BS Business Administration, American International University
T
MBA, University of Massachusetts
yler’s patented ideas on technologies for improving manufacturing processes along with optimizing machine airflow to realize increased machine efficiencies and ultimately help to reduce carbon emissions. Not only has he advanced engineering technology, but is a strong advocate of engineering through local and global technical communities like NEMA and IEC. In addition, he has published more than eight technical papers at global technical conferences such as IEEE-PCIC and PPFIC.
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FUN FACT: Tyler enjoys the process of preparing a special meal and studying the foods of other cultures.
FUN FACT: Will served 10 years in the Navy and has a passion for military personnel and the United States.
Shawn Hakim, 33
Haytham Hamad, 35
Control Systems Engineer
Field Service Engineer
BYK USA Inc. Gonzales, Texas
Advanced Technology Services Peoria, Ill.
BS Electrical Engineering, University of Texas at Arlington
AS Industrial Electronics, Ramallah Men’s College
lways looking for control challenges and passionate about the combination of science and technology, Shawn decided to pursue a career in engineering. Among many other contributions he has made, Shawn has successfully implemented a distributed control system (DCS) by migrating existing programmable logic controllers (PLCs) to this new control system environment. His proficiency and experience have made a visible impact in this organization.
BS Electrical Engineering, University of New Orleans
A
FUN FACT: Shawn enjoys traveling and looking for real estate business opportunities.
www.controleng.com
ill took control of a failing electronics manufacturing facility in 2010 and has turned it into a successful and modern manufacturing facility through Lean manufacturing practices. He is only the sixth person at his company to earn a 6 Sigma Green Belt, and he has worked with in house software engineers to build a manufacturing execution system (MES) that tracks live production, making the shop transparent to the firm and its customers.
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s an automation control engineer, Haytham has been consistently recognized inside and outside the company for his excellence, versatility, hands-on approach and love of helping people. In 2019, Haytham was recognized by his 3,000+ colleagues with the company’s MVP Award. This award is given to the employee who exemplifies superior performance while working with customers, managers, and team members in all aspects of their job responsibilities and position. FUN FACT: Haytham enjoys carpentry and designs, builds, and finishes homemade furniture for his family’s home.
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David Hostetter, 34
Christopher Jansen, 32
Regional RMC Manager
Product Manager
SCS Engineers Denver, Pa.
Worley North Sydney, NSW, Australia
BS Engineering, Mechanical Concentration, Messiah College
D
ave develops and implements technologies for use in environmental control systems. These systems, such as cloud-based supervisory control and data acquisition (SCADA) systems, help private industry and municipalities achieve their environmental goals, protect workers and help minimize operational costs. Dave is a leader in applied technology for the waste industry — he listens to his clients’ concerns and goals to keep his solutions focused on their needs. Well respected by his clients, peers and executives, he delivers sustainable solutions that balance the need to deliver services and products while protecting our environment. Dave dedicates energy to developing young engineers into future leaders like himself.
BE (Chemical), BCom, University of Sydney
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hris had progressive goals that led him to study engineering and commerce. Since his career began, Chris has become the inventor and product manager of CAROL, the world’s first catalyst removal robot. Upon joining Worley in 2015, he won seed funding to develop his idea of robotic catalyst unloading. He now heads up robotic catalyst unloading with robots and teams located in Australia, the U.S. and Canada.
FUN FACT: Chris plays soccer two times a week during his lunch break with people from different energy industry companies in the heart of the Brisbane central business district.
FUN FACT: Dave loves creating, whether it’s a garden with his family, “inventions” with his daughter, or brewing his own beer.
Toni Kristo, 28
Dan Krohnemann, 27
Application Engineer
Lead Engineer
Bachmann Electronic Corp. Charlestown, Ma.
Panacea Technologies Inc. Montgomeryville, Pa.
MS Solar Photovoltaic Energy, Technical University of Madrid (UPM) — Solar Energy Institute (IES)
BS Chemical Engineering, Pennsylvania State University
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oni has managed to leverage his knowledge on solar renewable energy he gained in graduate school to become an effective and proficient expert in the field of wind turbine operations. Toni works with seasoned veterans in controls for wind turbines, absorbing critical knowledge gained from their years of experience. He has improved on these concepts and functions by incorporating his knowledge and experience gained from a combination of international and domestic college degrees and study that is coupled with work experience. FUN FACT: Toni attended the Munich Summer School of Applied Sciences in Munich, Germany, in summer 2012.
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an has led almost every one of Panacea’s automation boot camps and continues to stay in touch with engineers he trains to make sure they are developing their skills post-training. Dan often leads the charge on some of the most innovative projects and technical applications. His contributions have been the subject of technical whitepapers, podcasts, and have led to new products in use by many life science companies. FUN FACT: Dan is obsessed with haunted houses and buildings and, every Halloween, visits a different set of haunted places.
www.controleng.com
Connie LeMarbe, 28
Anand Makhija, 38
Controls Engineer
Technical Director
Patti Engineering Inc. Auburn Hills, Mich.
PAS Global Houston, Texas
BS Mathematics, Oakland University
BS Chemical Engineering, Mumbai University
W
hile Connie is an analytical thinker with great technical talent, it is her communication and teaching skills that truly make her stand out as a leader and an invaluable member of the team. Whether it’s interfacing with customers, helping other engineers, teaching a seminar or mentoring female students to pursue STEM careers, Connie does so with passion, confidence and enthusiasm. Among her peers, Connie is recognized as a hard-working team player with the ability to “think outside the box” by looking at engineering challenges with a unique perspective and finding creative solutions others may miss. FUN FACT: Connie taught high school math for two years before changing careers to be an engineer.
MBA, University of Texas
A
nand has been instrumental in improving the safety culture in organizations by leading the way in process safety and cybersecurity. He leads business development and technical solutions consulting team in the Asia Pacific region, working with oil and gas industry clients such as BP, Chevron, ExxonMobil, INPEX, Origin Energy, Petronas, PetroChina, PTT, Shell, Sinopec, Thai Oil and Woodside. Anand likes to speak at conferences to raise awareness on safety and security topics. He also likes to mentor engineers on their career development and life goals. FUN FACT: Anand is a certified tennis coach.
Jason Markesino, 37
Brett Mernin, 32
Engineering Manager
Technical Services Manager
Applied Manufacturing Technologies Orion, Mich.
Control Techniques Eden Prairie, Minn.
BS Mechanical Engineering with Robotics and Automation Emphasis, Michigan Technological University
W
hether he is parachuting in to support a customer and save a project or mentoring recent grads, Jason can always be counted on to give 110%. He is proficient at all of the technologies involved in automation including controls, mechanical design, simulation and robot programming. In 2013, Jason became the lead electrical mentor of Team RUSH, a FIRST Robotics Team, where he inspires young students to embrace new technologies. FUN FACT: Jason is a wine enthusiast and makes his own wine.
www.controleng.com
BS Mechanical Engineering, University of Saint Thomas MBA, Capella University
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orking at the distribution and factory level in the automation industry, Brett has frequently been elevated into team leadership positions, and he often presents and speaks at engineering and sales conferences regarding the latest technology in drives and motors being produced and used. Brett also has held roles driving product and software quality control along with leading front-line technical support teams and remote teams of field service engineers. FUN FACT: Brett can play the guitar, piano and drums.
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Karen Mootrey, 37
Andrew Morgan, 38
Senior Manager, Automation Engineering
Director of Process Engineering
Regeneron Pharmaceuticals Rensselaer, N.Y.
TM Process & Controls Inc. Elk Grove, Calif.
BS Chemical Engineering, Tufts University
BS Chemical Engineering, UC Davis
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aren works to impart her knowledge of process control systems and pharmaceutical manufacturing coupled with insight into navigating the complex world of large corporations on her team. In just seven years, she was promoted to senior manager of automation engineering at a pharmaceutical company. Karen focuses on team building and the development of her people. She especially loves the transition from being an individual contributor to a contributor of other’s successes.
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ndrew started working for a food and beverage design company after graduation from UC Davis. Fifteen years later, he is well known by food and beverage (F&B) plants and design firms all over the United States. In such a small industry, his work ethic and innovative ideas spread fast. In 2015, Andrew co-founded a system integration and design engineering firm focusing on process controls and obtained his professional engineer license in chemical engineering the following year. In 2019, the company had 12 employees and 3 offices.
FUN FACT: Karen is a black belt national level competitor in Tae Kwon Do.
FUN FACT: Andrew, an Eagle Scout, loves the outdoors.
Kurt Niehaus, 38 Senior Control Engineer
Dileepa Prabhakar, 39
Applied Control Engineering Inc. Newark, Del.
Senior Manager, Technology Engineering
BS Chemical Engineering, Pennsylvania State University
Fluke Corp. Everett, Wash.
urt has been an integral part of the plan to update sales organization and sales tools in the control system integration firm where he works. In addition to being part of a team defining job descriptions, working on customer relationship management (CRM) modernization, and improving sales process, Kurt leads the inside sales support staff and identifies changes to internal sales tools. He does all this while managing and executing projects for end users.
BS Electronics and Communication, Vidyavardhaka College of Engineering
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FUN FACT: Kurt and his family live on the farmstead where Thomas McKean, a signer of the Declaration of Independence, was born.
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ileepa has been a key contributor toward product development and technology exploration. He started as a software engineer working on digital multimeters (DMMs) and process tools. Over the years, Dileepa has taken on additional responsibilities and challenges such as establishing a software design center in Bangalore to scale up software offerings. He now leads the global technology development team out of his company’s global headquarters, working on new technologies to simplify troubleshooting for engineers and technicians. FUN FACT: Last year was a new and exciting experience with the birth of Dileepa’s first child.
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Alicia Ramirez, 34
Keith Riegel, 34
Automation & Control Manager
Process Automation Consultant
Sucroliq Mexico City, CDMX, Mexico
Corteva Agriscience Wilmington, Del.
BS Mechatronics Engineering, Universidad del Valle de Mexico
BS Chemical Engineering, Rowan University
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licia is the first engineer in the world to have fully automated and operated plate filters. She is also the first one to have implemented Industry 4.0 and Internet of Things (IoT) solutions in Mexico. In 2015 she was an essential part of the construction of a new sweetener production plant in Irapuato, Guanajuato. In the last few months, she has successfully dedicated her efforts to installing Industry 4.0 technologies, which have proved to be beneficial to the company. FUN FACT: Alicia is a marathon runner and a Rubik’s cube lover.
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eith has supported multiple businesses through assignments in site and corporate roles. His primary activities have been in dynamic modeling, advanced process control (APC) and training. Keith is a professional engineer and co-leads his agriculturals science company’s LGBTQ+ Employee Resource Group MidAtlantic chapter and also has co-presented talks at the Out & Equal Workplace Summit and Society for Women Engineers Conference focused on the importance of being out at work and the impact of LGBTQ+ inclusion in the workplace. FUN FACT: Keith is a trumpet player and member of the board of the Philadelphia Freedom Band, which is a 501c3 nonprofit LGBTQ+ founded concert and marching band.
Kristen Sheriff, 33
Niniv Tamimi, 34
Team Leader
Director of Controls Engineering
Applied Control Engineering Inc. Windsor Mill, Md. BS Chemical Engineering, University of Delaware
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rom an early age, Kristen enjoyed puzzles and working on solving them. After college, Kristen started working for a major automation and power technology company developing simulations for oil and gas pipelines and became a senior simulation engineer. After 6 years, Kristen joined a control system integration firm and began working on automation projects. She also added the additional responsibility of project manager for several critical projects including ones for chiller controls upgrades where she has managed engineers, equipment suppliers and subcontractors. FUN FACT: Kristen recently completed her first 5K run.
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TM Process & Controls Inc. Turlock, Calif. BS Chemical Engineering & Materials Science & Engineering, University of California, Berkeley
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rom a young age, Niniv appeared destined to become a controls engineer. He not only mastered computer coding at a young age but also dismantled everything in sight and put it back together. After graduating, he returned to work in his native Central Valley in the hopes of bringing more engineering jobs to the agricultural-based Valley. In less than 5 years, Niniv went from intern to cofounder of an engineering firm. FUN FACT: Niniv grew up on a small almond orchard.
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Ian Visintine, 37
Justin Waldrop, 31
Sr. Project Engineer
Project Engineer-Electrical
MartinCSI Plain City, Ohio
Paulo St. Louis, Mo.
AS Electro-Mechanical Engineering, Columbus State Community College
BS Electrical Engineering, Southern Illinois University-Edwardsville
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an, who served honorably in the United States Navy for more than 10 years, found his passion for working with electrical systems and mentoring junior personnel and earned a degree in electrical engineering after leaving the Navy. Ian is grateful for his mentors in the Navy and is dedicated to helping others succeed by guiding younger engineers and developing in-depth employee training programs at a control system integration company. Ian took the initiative to gain training in machine safety and machine vision, enabling the company to expand its services and become industry leaders. Ian earned TUV Functional Safety Engineer Certification in 2018 and led the charge to build a state-of-the-art in house proof-of-concept vision lab.
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fter starting in pharmacy school, Justin wanted a path that was more challenging and less mundane, so he switched to electrical engineering. Justin is a quick learner, willing to accept new challenges and is focused on achieving the best possible result. Justin has completed control system projects using software from more than six automation and control providers. He also was instrumental in the successful startup of his companyâ&#x20AC;&#x2122;s first international location in 2018. FUN FACT: Justin is an avid St. Louis Cardinals and Blues fan.
FUN FACT: Ian is afraid of heights, but loves flying in small aircraft and dreams of being a pilot and owning a plane someday.
Evan Westra, 30
Bradley Willson, 29
Lead Project Engineer
Electrical Engineer
Interstates Sioux Center, Iowa
AGC Glass Company North America Church Hill, Tenn.
BS Engineering with Computer Emphasis, Dordt University
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ith 12 years of experience, Evan continues to grow his technical expertise and is currently working as a lead project engineer. Evan has worked on projects in many industries such as flour and feed milling, oil seed processing, meat processing, grain elevators, and ethanol. He is able to teach and coach his team of young engineers and interns, enabling them to grow their knowledge and deliver desired results for customers. FUN FACT: Evan enjoys listening to podcasts ranging from reformed theology, personal finance, history and everything in between.
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BS Electrical Engineering, Georgia Institute of Technology
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rad was always interested in engineering since he was a child. He has always had a knack for being able to think critically and solve problems. Brad is dedicated, hardworking, loyal and enjoys a challenge. He was the controls lead for a major glass tempering project, which resulted in a $40/hour profit. Brad also procured, designed, developed the software code, commissioned and supervised the installation of the controls, drives and human-machine interface (HMI) systems for the glass-making process line. FUN FACT: Brad has been working with his father on restoring a 1968 Oldsmobile Cutlass.
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ANSWERS
ADVANCED PROCESS CONTROL Jim Ford, Ph.D., Maverick Technologies
Five advanced process control, data analytics connections Are there connections between advanced process control (APC) and data analytics? Recent developments in the field of information technology (IT) and its use in the manufacturing world provide insights.
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ndustrial Internet of Things (IIoT), artificial intelligence (AI), augmented reality/virtual reality (AR/VR), Industry 4.0 and the digitalization of manufacturing are among recent developments in the information technology (IT) world. Veteran advanced process control (APC) engineers may wonder if there is any connection between their world and this new world of digitalization and, especially, “data analytics.” A great deal of real-time and historical data is available to the manufacturing world. Does having more data improve operating efficiency?
APC optimization The purpose of APC (multi-variable) is to adjust the setpoints of single-loop controllers to maintain key operating variables close to targets and to push operation closer to constraints, a form of “optimization” at the local level. Experienced board operators could do what APC does based on their knowledge of the process, current operating conditions and inputs from production planning. However, human beings don’t operate at the speed of computers and with their tirelessness. APC emerged and evolved over the last 40-plus years, relying on step-response models (instead of process knowledge and experience) to decide which loops to move, and by how much, to keep the process at optimum conditions. APC has been a costly and marginally successful adventure. It’s tough to maintain, in need of constant remodeling, too big, with static economic drivers. (How much is a pound more of product worth today, not last week?) A few manufacturers do it well, while many others don’t or can’t. Can data analytics help?
Connecting data analytics Data analytics refers to the processing of raw data with advanced tools (analytics and algorithms) to generate useful information. Specifically, for
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APC, what would be “useful information?” Here are five ideas about APC and data analytics.
1. Real-time updates of model sensitivities
Raw instrument and distributed control system (DCS) historical and real-time data (for example, process variables [PVs], setpoints, valve positions), along with associated quality (lab) data, are now “connected” via data historians to the organization’s site and enterprise levels. Why not use this data to continually update, in real time, the key sensitivities of the models that drive the APCs? This doesn’t have to be as complex as it sounds. Algorithmic techniques do exist to accomplish this, as well as existing technology to transfer those sensitivities back down to the models, with appropriate security built-in.
2. Model accuracy
How about the models that drive the site and enterprise production planning tools (plant and enterprise-level optimizers) that download the key production targets to the APCs? The main issue with these tools today is their lack of execution in real time. What value comes from running the plant optimizer to set targets today if it relies on yesterday’s data? That’s what one of the original pioneers of APC was referring to with the comment: “Data only has value when it can lead to better decision-making.” What is the value of decisions made today based on yesterday’s data? It’s zero, or even negative, because old data could lead to the wrong decisions.
3. Real-time data analysis
The data analytics, regardless of how sophisticated, need to run in real time, if the decision-making must be real time. Again, this doesn’t have to be as complex as it sounds. A very limited number of variables need updating in real time to ensure the production planning tools are downloading www.controleng.com
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Identify the important manipulated variable and controlled/constraint variable relationships, assist the APC designer in finding the right controller size, and filter out the variables and variable relationships that have less impact on controllability and optimization of unit and plant operation.
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the optimum targets. The data analytics should be focused on those few key variables.
4. APC design and scope improvements
What about the design and scope of the APC controllers that currently run in a plant? Could they be improved? One of the biggest problems with many controllers in plants today is they are just too big. Based upon standardized training programs, the designer runs the test, exercising every possible manipulated variable (MV), looking at the impact on every possible controlled/ constraint variable (CV), and then includes every one of these variables in the model and controller design. It shouldn’t be that way. Experienced board operators can tell you which variables are important. Why not have a data monitoring tool, based on data analytics and including key productivity measures, that can process plant and lab data? It could identify the important MV/CV relationships, assist the APC designer in finding the right controller size, and filter out the variables and variable relationships that have little, if any, impact on controllability and optimization of unit and plant operation.
5. APC monitoring and support
How about an APC monitoring tool that measures and reports on how well the APC controllers are performing? It’s not whether the controller is running, or how many MVs are active, but, rather, what do the economics look like? Data analytics could use plant and economic real-time data (product values, energy costs, and so on) to calculate the “profitability” of the APCs, based on enterprisewide business criteria and accepted methodology. These are just a few ways data analytics could help. Now, all that is needed is management vision and commitment to make it happen, somebody to sell it and validate it. It’s challenging, but doable. ce
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Data analytics could use real-time plant and economic data to calculate APC profitability based on enterprise-wide
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business criteria.
Jim Ford, Ph.D., is a senior consultant at Maverick Technologies, a Control Engineering content partner. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
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Advanced process control (APC), data analytics APC design and scope influence performance. APC relies on good data for optimal decisions. Some data updates should be in real time.
CONSIDER THIS If APC isn’t meeting expectations, reexamine data connections, models and monitoring.
ONLINE If reading from the digital edition, click on the headline for more resources. www.controleng.com/magazine www.controleng.com/control-systems/pid-apc Learn more about Maverick Technologies in the Global System Integrator Directory. www.controleng.com under System Integrators. control engineering
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ADVANCED CONTROLS Gary L. Pratt, P.E., ControlSphere Engineering
OOIP: interfaces and methods Part 3: Interfaces and methods for object-oriented industrial programming (OOIP) help deliver less complex object-oriented programming productivity.
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nterfaces and methods are two modern programming concepts that provide essential functionality for object-oriented industrial programming (OOIP). Part 1 of this series introduced OOIP and showed how a control design is built by assembling self-contained objects similar to how an actual plant is assembled.
Distributed objects
In OOIP, objects are distributed throughout a control design just like objects are scattered through a plant or piece of equipment. Say a refrigerator manufacturing plant has an assembly line system, which has an insulation injection subsystem, which has a polyurethane processing subsystem, which has an isocyanate material subsystem, which has a tank subsystem. In this plant, thousands of sensor objects are distributed from the top-level assembly line down to the tank subsystems and throughout adjoining branches. When the task-based programming approach described in part 2 became popular, no practical way existed to implement central services that could accommodate the distributed nature of an OOIP design. The only answer was to centralize the design. Newer development environments have implemented features that allow the best of each: distributed KEYWORDS: Object-oriented control objects (so the control design can industrial programming, mirror the plant design) and centralized control programming services (to manage distributed objects). Interfaces and methods add functionality to OOIP. Part 2 introduced the analogy that the OOIP objects can be distributed. older task-based programming technique OOIP design can mirror plants was akin to a strong centralized govand equipment. ernment where each tag had to be registered with the service it required (like the CONSIDER THIS Bureau of Scaling, the Bureau of AlarmShould your programming be organized in a modular, more ing, and such). OOIP is more like a selfeasily understood way? governing society where citizens largely take care of themselves, but even the most ONLINE ardent fan of small government agrees If reading from the digital edition, click on the headline for 4 more some level of central government is necfigures, links to Parts 1 and 2. essary. How are these distributed objects www.controleng.com/magazine configured? How are their alarms manFind a clearinghouse for openaged (aggregated, acknowledged and source OOIP Functions Blocks shelved)? How are their state values saved and design examples at and restored in case of a power failure or www.OOIP-Foundation.org. controller replacement? Interfaces and www.controleng.com/ control-systems/pid-apc methods play a key role in managing tasks.
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Methods
A method can be thought of as a function which belongs to a function block and can be accessed through the instance of that function block. Figure 1 shows an example of the “AnalogSensor” function block which has an “AcceptConfig” method and how an instance of “AnalogSensor” named “L1” is placed on the isocyanate tank deep in the refrigerator manufacturing plant described earlier. At startup, a central service can read the configuration information from a central database and pass the configuration parameters to that instance by making a call to that instance’s “AcceptConfig” method using its full path name, “Plant.AS1.II1.PP1. Isocyanate.L1.AcceptConfig”. Methods also have access to their parent function block’s variables and can be overridden by methods in extended function blocks. Methods also can have access control to limit access to the parent only (private), the parent and all extended function blocks (protected), or be open to all (public).
Interfaces
Interfaces are a tool for organizing access to a function block’s methods. An interface is a contract made by a function block to support a specific set of methods and for those methods to have a specific set of inputs and outputs. In addition to making methods easier to manage, interfaces allow function blocks which agree to that contract to be treated as a homogeneous group. A central service can then manage all the function blocks as one set. Say we have a variety of types of function blocks which need to know if it is day or night. Each of these function blocks agree to the “DayOrNightInterface” contract by adding the words “Implements DayOrNightInterface” to their declaration. Then, all instances of function blocks that have implemented the “DayOrNightInteface” (lines 3 and 4) can be assembled into an array of type “DayOrNightInterface” (lines 6 and 7). This array can then be used to notify the instances as one group at dawn or dusk (Main implementation line 3). In traditional programmable logic controller (PLC) programming, every function that needed to know if it is day or night would individually poll the light sensor. This is somewhat akin to the family vacation parody where each child in the station wagon keeps asking dad, “Are we there yet?” www.controleng.com
Using methods and interfaces, the sensor is instead polled in one place and the functions are then notified when the status has changed. In this modern sportsutility vehicle (SUV), all the children pursue their own interests and trust dad to let them know when they arrive. The parents travel in peace.
Self-registration
The approach above works fine when the objects are all instantiated in the same program (for example, for an SUV full of children where, presumably, the dad knows all his children). Further steps are required for OOIP where instances of objects can be instantiated inside other objects and objects become distributed throughout the hierarchy of a plant design (such as in the refrigerator plant example above). In this type of system, additional features are used to allow the distributed objects to register themselves with a central service. This system is analogous to families taking a night Amtrak train on vacation where the dad lets the conductor know their destination and seat numbers. The conductor can wake up each family when approaching their destination. This self-registration relies on a key feature in Controller Development Software (CoDeSys). [Codesys Group develops CoDeSys, a hardware-independent IEC 61131-3 automation software for controller applications.] Every function block that needs configuration services implements the “ConfigMgrInt” Interface and has “AcceptConfig” and “RegisterMyConfig” methods. The first line of the “RegisterMyConfig” method contains the “call_after_global_init_slot” attribute, which causes that method to be automatically executed when the programs initiates. In the remainder of the registration and configuration process, each instance of each function block that implements “ConfigMgrInt” uses its “RegisterMyConfig” method to pass a pointer to itself, its function block name, and its instance name to the “ReceiveObjectRegistration” method of the “Configurator” central service. The configurator then places that information into an array of type “ConfigMgrInt”. The configurator obtains the configuration data for the configurable objects (from a .CSV file or SQL Database), finds the matching instance name in the array, and uses the pointer provided by the object at initiation time to pass this data to each object’s “AcceptConfig” method. The “AcceptConfig” method then writes the data to the appropriate configuration inputs. For the actual implementation of the configuration and alarm central service, the configuration service also includes “ProvideConfigTitles” and “ProvideConfig” methods. These methods allow the system to write a well-formatted configuration parameter file with the configurations grouped by function block type prefaced with a parameter name header line. This file serves as an ideal starting point for the controls engineer to begin the configuration specification process. Once the plant or equipment is
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Figure 1: Methods are functions that belong to a function block. An instance of the AnalogSensor function block can be configured by calling the instance’s AcceptConfig method.
Figure 2: Instances of function blocks that implement an interface can be grouped in an array and then operated on as a set.
up and running, these methods also can be used to store the configuration values of specific instances. This is useful for saving tuning parameters or other changes made to specific instances so the state of the system can be restored after a power failure or controller replacement. ce Gary L. Pratt, P.E., is president of ControlSphere Engineering. Edited by Mark T. Hoske, content manager, Control Engineering, mhoske@cfemedia.com. control engineering
Figure 3: Methods annotated with the “call_after_global_ init_slot” attribute are automatically executed at startup, allowing objects to autonomously register.
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ADVANCED PROCESS CONTROL Control Engineering
Model-following control basics Two proportional-integral-derivative (PID) controllers can be better than one. Model-following control may be the best choice if it’s important to get the process variable to the setpoint without hunting or overshoot.
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ll feedback controllers are designed to eliminate discrepancies between the process variable and the setpoint. Model-following controllers do so by forcing the process variable to reach the setpoint along a specified trajectory. The user specifies the desired trajectory by creating a mathematical model that represents an idealized process that would provide a more desirable response to a setpoint change if it could somehow be substituted for the real process. The controller then measures the model’s output rather than the actual process variable and tries to drive the model’s output towards the setpoint along the desired trajectory. Doing so achieves the specified closed-loop behavior for the idealized process, but it does nothing for the actual process. A second controller is required to simultaneously force the actual process variable to match the model’s output, forcing the actual process to mimic the behavior of the idealized process. If both controllers can achieve their respective objectives, the process variable will follow the desired trajectory towards the setpoint.
How model following works
Figure 1 shows how this algorithm, known as “model following,” can be accomplished with two proportional-integral-derivative (PID) controllers. In the top loop, known as the “model loop,” the “model KEYWORDS: PID, modelcontroller” applies its corrective efforts following controller or “model control signal” to the mathModel-following controller ematical model as if it were a real proexplained cess. The model’s output is fed back and Simplification of model-following subtracted from the setpoint to generate controller the error signal that feeds into the model Model-following applications. controller. CONSIDER THIS The model control signal is also How can model-following control applied to the real process with the help you? addition of a “correcting signal” genONLINE erated by the “correcting loop.” The If reading from the digital error signal for this loop is the differedition, click on the headline for ence between the model’s output and links to related articles. the actual process variable. That difwww.controleng.com/magazine ference is fed into the “correcting conAlso see www.controleng.com/ control-systems/pid-apc troller” to generate the correcting signal
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which is added to the model control signal. That sum serves as the control effort applied to the actual process. The model controller is designed to achieve whatever trajectory the user wants the model’s output to follow in response to a setpoint change. This is a straightforward exercise since the behavior of the idealized process is already known, having been defined by the user. Any number of loop-tuning rules could be used to translate the gains and time constants of the idealized process model into tuning parameters for the model controller. Tuning the correcting controller can be trickier, especially if the gains and time constants of the real process are unknown or vary by time. The correcting loop also is subject to real-world load disturbances plus artificial disturbances caused by the model control signal. On the other hand, the correcting controller should not require precise tuning if the process is fast enough to quickly respond to the controller’s efforts. Discrepancies between the model output and the process variable will be short-lived, which means the correcting controller’s tuning should be relatively unimportant.
Model-following simplification
An astute reader might wonder why the model controller is required at all. After all, the model loop in Figure 1 has no disturbances to counteract because the entire loop is a purely mathematical construct that exists only in the controller. The reallife disturbances that affect the actual process variable enter only into the correcting loop. The model loop might as well be run in openloop mode with the model controller and feedback path removed as shown in Figure 2. Re-arranging the remaining blocks into the layout shown in Figure 3 reveals this simplified model-following controller is actually a traditional feedback controller equipped with a setpoint filter and a feedforward path that treats setpoint changes as disturbances. A setpoint filter could not just give model-following capabilities to a feedforward/feedback controller. The filter’s input/output equation must represent the behavior of the idealized process. Only coincidence would make a noise-dampening filter work. www.controleng.com
Figure 1: The proportional-integral-derivative (PID) controller in the “model loop” (green) applies its efforts to both the model and the actual process. The PID controller in the “correcting loop” (blue) applies an additional corrective effort to the actual process. The model controller tries to drive the model output towards the setpoint while the correcting controller tries to drive the process variable towards the model output. All images courtesy: Control Engineering
Model-following control
The idealized process model is also not included in the feedforward path the way a feedforward filter might otherwise be configured when compensating for a measurable disturbance. To make figure 2 or 3 work as a model-following controller, there can be no filter on the feedforward path; only on the path leading into the correcting controller.
original version of model-following control easier; a designer with more model design experience might find the simplified version easier. Designers experienced in both can design the correcting controller for optimal disturbance rejection and the mathematical model to achieve an optimal setpoint response.
Choose one control
Model-following controllers have proven useful for applications where robustness is required. They tend to be less sensitive to behavior variations of the controlled process than traditional single-loop control strategies. The user-defined trajectory feature also is beneficial for control problems where eliminating the error between the setpoint and the process variable is only half the battle. If the controller also must guide the process variable along a particular path on the way to the setpoint, model-following can help. A robot arm, for example, must travel a prescribed path from point A to point B to avoid collisions. The oven temperature in ramp/soak heat-treating operation must rise at a prescribed rate. A self-driving car must stay on the road at all times on the way to its destination. In applications like these, the idealized process model is sometimes called the “trajectory planner.” There also are applications where model-follow-
So which version of model-following control is best? Is it the original version shown in figure 1 or the simplified version shown in figures 2 and 3? That depends, in large part, on the designer’s expertise. Both versions require process modeling and loop tuning skills. However, the performance of the original model-following controller depends less on the design of the idealized process model than the simplified version does. That’s because the model controller in Figure 1 shoulders much of the responsibility for shaping the model loop’s response to a setpoint change. The idealized process model need not be as sophisticated or accurate in Figure 1 as in Figure 2 since the model controller can take up the slack if the model isn’t quite right. In Figure 2, the model loop’s performance depends on the process model’s design. All things equal, a control designer who is more comfortable with loop tuning will likely find the
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Model-following applications
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ADVANCED PROCESS CONTROL ing control would not be particularly effective. If the actual process isn’t significantly faster than the idealized process, the correcting loop will not be able to keep the process variable on the desired trajectory. The worst case would be a process model faster than the process itself. A gain-only model, though simple to implement, would be the worst of all. The model must be designed to make abrupt changes in the setpoint appear more gradual to the
controller. If the actual process is slow, the model must be glacial. That can make the closed-loop system rather sluggish, but if it’s important to get the process variable to the setpoint without hunting or overshoot, model-following may be the best choice. ce This Control Engineering tutorial was edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
Simplified model-following control
Figure 2: In this simplified version of the model-following controller shown in figure 1, the model controller has been removed, leaving the green loop open. The setpoint is now applied directly to the model to generate the model output without any feedback. The setpoint is also added to the blue loop’s correcting signal instead of the absent model control signal. The correcting controller still tries to drive the process variable towards the model output, but the model output is now a filtered version of the setpoint.
Setpoint filtering plus feedforward
Figure 3: Here the block diagram from figure 2 has been rearranged into a more familiar configuration that is functionally identical to a traditional feedback controller (blue) equipped with a setpoint filter (green) and a feedforward path (red). Most commercial feedback controllers include setpoint filtering and feedforward as standard options, making this version of model-following control simpler than the original version, and much easier to implement.
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For plantt owners and operators, safetyy is an abiding concern. For Hargrove, it’s an obsession. In the engineering, procurement, and construction projects we manage, Teammates like Controls + Automation Process Safetyy Leader Chett Barton, PE, refuse to take chances with the wellbeing off anyone who mightt be affected byy our work. It’s a standard we justt don’tt compromise. hargrove-epc.com / 877.123.4567 / input #16 at www.controleng.com/information
IIoT Series: Part 3: Edge, Fog and Cloud CFE Edu introduces “lloT Series: Part 3: Edge, Fog and Cloud,” an on-demand course that is accessible 24/7 with a computer, tablet or smartphone. In this course, our instructors will discuss edge-fog computing is an increasingly viable means of achieving enhanced monitoring and control of industrial processes, what’s different about Cloud and edge-fog computing and what role the two technologies will increasingly play in process control and automation. This course is FREE and students can earn one (1) Professional Development Hour (PDH) after receiving a passing grade for the final exam and finishing the exit poll.
To register, go to cfeedu.cfemedia.com/catalog “IIoT Series: Part 3: Edge, Fog and Cloud. “ You can also register for the lloT Series: Part 1 and Part 2.
Learning objectives:
t Why edge-fog computing is an increasingly viable means of achieving enhanced monitoring and control of industrial processes. t What’s different about Cloud and edge-fog computing and what role do they play in process control and automation. t What types of application technologies will emerge on the basis of fog and Cloud, including analytics and machine learning. t How edge-fog and Cloud impact data management.
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ANSWERS
INSIDE PROCESS: ADVANCED CONTROL Allan Kern, P.E., APC Performance LLC
Advantages of RPC and limits of model-based control PART 3: Rate-predictive control can provide single-loop control. See three RPC advantages and two model-based control limitations.
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ate-predictive control (RPC) is a patented control algorithm designed as an alternative to industry standard proportional-integral-derivative (PID) for single-loop control. It is used as the internal control algorithm for model-less multivariable control (XMC). RPC has three specific advantages over PID and model-based control:
1. RPC (like PID, but unlike model-based control) is a feedback control algorithm. Feedback remains the process industry’s first choice for most control loops, because of its ease of deployment, low maintenance and high rate of success and reliability. The timing of feedback control is always perfect because it responds as the process responds, without model-based timing issues. In the vast majority of
applications, feedback control rejects process disturbances without unacceptable levels of deviation.
2. RPC is predictive in a different way than model-based control. RPC looks at the ongoing rateof-change of the controlled variable and predicts its implicit future value, which is the current value plus the rate-of-change times the process settling time. The settling time is RPC’s main tuning parameter, which is easy to tune and has a forgiving margin for error, like PID integral time. The predictive method of RPC makes it more responsive to disturbances and more stable as control returns to setpoint. 3. RPC is adaptive to changes in process response. Among hundreds of U.S. patents for process control, RPC is the only one with the claim of being inherently adaptive (think naturally self-tuning). For example, if process gain changes, then the process response changes accordingly, and so does RPC’s prediction and controller response. It’s simple and elegant and also profound for an industry where retuning and model-maintenance have always been as much the rule as the exception. Successful adaptive control has long been the grail of process control.
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KEYWORDS: Advanced process control, ratepredictive control (RPC) RPC, a patented control algorithm, is an alternative to proportional-integral-derivative (PID) single loop control. RPC advantages include that it is a feedback control algorithm and predictive. Model-based control requires reliable models. CONSIDER THIS How can you close more control loops?
Figure: Rate-predictive control (RPC) is inherently adaptive (think naturally self-tuning) to changes in process gain. In the top graph, process gain is 1.0, while in the bottom graph, process gain is 2.0. Control performance remains “perfect,” with no change to RPC tuning parameters. Courtesy: APC Performance LLC
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ONLINE If reading from the digital edition, click on the headline for more links to the article below and other resources. www.controleng.com/magazine Part 1: What is RPC? and Part 2: What is XMC? www.controleng.com/control-systems/pid-apc www.controleng.com
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ANSWERS
INSIDE PROCESS: ADVANCED CONTROL Two limits of model-based control Model-based control, which is synonymous with feedforward, is often considered superior to feedback because it has the potential to reject disturbances with minimal deviation. Even so, the widespread adoption of model-based control over the last few decades, primarily in the form of model-based multivariable control, has revealed limitations of model-based control in practice.
1. Reliable model-based control depends on reliable models. Where process responses vary, so they no longer match the models built into the controller, then model-based control performance degrades and may compound disturbances. In other words, the promise of model-based control to improve performance also carries the risk of poorer and less reliable performance. Experiences have shown process models are less reliable and shorter-lived than expected. This means frequent model-maintenance is necessary to mitigate this risk. This is the main reason auto-tuning has fallen short of industry expectations and why even continuous adaptive modeling cannot overcome this limitation of model-based control. 2. Return to feedback control. Due to the first reason, model-based control technology has pur-
sued numerous adaptations, and a proliferation of esoteric configuration and tuning parameters, to help improve stable and reliable performance in the face of model mismatch. But to the extent that model-based control can tolerate model error, it reverts to feedback control. This raises the question, why spend so much time and money on models and model maintenance, only to fall back on feedback control? Wouldnâ&#x20AC;&#x2122;t it make more sense to begin with feedback control and then apply feedforward selectively, only where it is necessary? The answer has always been yes for single-loop control; it should be yes for multivariable control, too. Most processes require a handful of important models for effective multivariable control and optimization, not dozens or hundreds. RPC and XMC are not model-based, so model-related activities such as plant testing, modelidentification, and model maintenance, are largely eliminated. RPC and XMC incorporate feedforward selectively based on traditional proven advanced regulatory control (ARC) methodologies. ce Allan Kern, P.E., is owner and president of APC Performance LLC. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.
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ANSWERS
INSIDE PROCESS Dana Geadah Geadah, Sohar Aluminium
Industry 4.0, automation Industry 4.0, robotics and other automation technologies are helping Sohar Aluminium advance its competitiveness among aluminum smelting companies.
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se of leading-edge aluminum smelting technology with progressive increase in amperage, state-of-the-art production, efficiency and safety optimization tools and technological innovations has helped Sohar Aluminium advance. Automation, industrial communications, and other aspects of Industry 4.0 platform are being applied to help the company with the goal of becoming the benchmark smelter in the region. Aided by Industry 4.0 technologies, such as mobile connectivity, artificial intelligence (AI), Big Data, robotics, the Industrial Internet of Things (IIoT) and machine learning (ML), the company is accelerating its digital transformation.
Smelter of the future, networking
The information technology (IT) and automation team at Sohar Aluminium is using the technologies to advance operational excellence, the overarching goal since the company’s launch a decade ago. “Sohar Aluminium has embraced some elements of Industry 4.0 ever since we came on stream, and we continue to evaluate new technologies and innovations as they materialize. This is a continuous journey of improvement which we don’t foresee an end to,” said Abdullah Al Maamari, IT manager, Sohar Aluminium. Robotics and other automation are among investments. Robotics integrated into the company’s casthouse operations eliminates potential KEYWORDS: Industry 4.0, process optimization for human interaction with unsafe mateAn aluminum smelter is rial handling, thereby reducing the risk integrating Industry 4.0 of injury to its operators. Robotic cranes technologies. assist in the stacking of the refined metal Automation, robotics, Industrial bundles and applying labels to them. Internet of Things are helping. Increasing interconnections among Communicating about efforts machines, equipment, devices and physhelps with implementation. ical objects is part of the strategy for CONSIDER THIS advancing “Industrial IoT, which connects What IIoT and Industry 4.0 all of our systems with the enterprise,” said technologies can help advance Ibrahim Al Maawali, automation superyour efficiencies? intendent. “All of the data from the shop ONLINE floor and production units is captured on If reading from the digital our dashboards in real time.” Additional edition, click on the headline for IoT technologies are under evaluation. more resources and related links. Deployment of ML and AI are being www.controleng.com/magazine used to improve process control at Sohar www.controleng.com/ Aluminium by automatically recording, iiot-industrie-4-0
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networking and using numerous machine and system parameters to better plan downtimes, increase productivity and drive quality. ML has been implemented in existing processes, said Paul Ridgway, automation specialist at Sohar Aluminium. “Machine learning has been around for quite some time” inside intelligent systems and is being used “in some of our processes to better formulate our set points” and improve other areas, he said.
Data analytics
Data analytics is being used to enhance maintenance and operational processes at Sohar Aluminium. Ibrahim said, “We use our historical data to forecast equipment failures and process deviations. This improves our uptime and allows us to do more proactive maintenance rather than reactive, and it enables us to achieve a high level of operational production.” Ridgway expects Industry 4.0 to continue to help in “improving productivity, efficiency, safety, resource utilization, increasing machines uptime and reducing breakdowns by using smart sensors. Also, it enables self-diagnosis, reducing turnover time, preventing breakdowns, reducing the human intervention, which will reduce human errors.” Adoption of Industry 4.0 tools began in earnest in 2018 with members of the core IT team evaluating the applicability of these technologies and deployment in key departments. Vendors have been contacted, and members of the IT and automation team have been working on technology integration as cost-effective alternatives. Al Maamari said, “Technologies, by their very nature, keep evolving. Before Industry 4.0, there were three different waves that also evolved over decades. Our responsibility is to look at technologies and trends, as and when they come on the market, that will help us enhance our productivity, cost-efficiency and competitiveness.” A plant-wide awareness program is designed to ensure technical staff is on board in the delivery of Industry 4.0 technologies. The company is also engaging with key stakeholders and local communities. ce
Dana Geadah is communications manager, Sohar Aluminium. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com. www.controleng.com
ANSWERS
INSIDE PROCESS Anil Gosine, MG Strategy+
Utilities leverage IIoT for energy management Industrial Internet of Things (IIoT) technologies and strategies help water and wastewater utilities advance energy efficiency goals. See seven IIoT benefits for applications, below.
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rowing scarcity of fresh water resources, growth in urban population, environmental regulations and process inefficiencies are all contributing to a dilemma in the water/wastewater industry. Connected machines and devices are reshaping the way utilities are operating, allowing them to make smarter and better-informed decisions by using Industrial Internet of Things (IIoT) technologies and strategies. The amount of energy wasted as a result of traditional methods of water processing and delivery can be reduced by up to 25% through more dynamic, analytics and real-time system monitoring. With the volatility of energy prices, the need to improve sustainability, continuous legislation changes, and increased instances of available funding for energy efficiency initiatives, there are greater opportunities to effectively manage fresh water supply and safely process wastewater. Those leading the IIoT efforts within utilities must articulate the value of how the program will tie into business strategies and help deliver on solving problems.
Overall equipment effectiveness
Many utilities have initiatives that are focused on energy conservation through the use of motionsensitive energy efficient lights, limited time use of HVAC systems, solar panel installations (primarily based on electric utility grants), energy efficient devices and system-wide storage collaboration through reservoirs. These actions focus on the overall equipment effectiveness (OEE) of the facility rather than directly affecting energy conservation, which is a byproduct of these efforts. Incorporating the IIoT, in contrast, has and can enable direct energy savings for the smart utility of today. Disruptive technologies are emerging at an unprecedented rate, and it is challenging to know which technologies offer genuine savings versus those that may be rendered obsolete before they achieve their potential. It is challenging for organizations to decipher the hype and identify technologies
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Water conservation and energy efficiency are among benefits from Industrial Internet of Things technology implementations in water and wastewater applications. Courtesy: MG Strategy+
that are applicable to their needs and can deliver an immediate positive return on investment. Within the water/wastewater sector, IIoT applications are being piloted to create new value in information about elements of business processes that manage existing assets for increased reliability, optimization, supply chains and customer relationships. IIoT implementations allow integration of sensing, communications, supervisory control and data acquisition (SCADA) and analytics capabilities that has been emerging over recent years. The increase in pervasive computing devices, lower-cost sensors that collect and transmit data, new analytic tools and economic data storage options makes it possible for a utility to capture more data in real-time at a lower cost. In some cases, the utility can gather information from previously inaccessible areas and improve field, system and plant performance.
Designing for IIoT
System professionals must design the architecture to deliver on the potential of IIoT ensuring that: â&#x20AC;˘ Operators are empowered with mobile devices, cloud connectivity and data analytics, which control engineering
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provide operators real-time information for better decision-making. • Assets are optimized: smart sensors continue the flow of information and allow for data to be easily collected from the field and from parameters previously unmeasured. • Smart controls enable tight integration between operational and informational technology for better decision-making in the wider enterprise. • Cybersecurity focused: more connectivity demands an increased awareness and posture through an operational technology cybersecurity solution in addition to the available information.
Technology security deployment, intelligent pumps IIoT should be implemented to enable energy efficiency at utilities. This allows engineering analyses to occur on the additional real-time data coming from remote systems, motors and other larger energy consuming equipment, which makes analysis quick, straightforward and more accurate. IIoT also strengthens the capabilities for real-time alerts, ability to predict energy demand, usage patterns, and ways to optimize energy consumption when integrated with industrial control systems data sets. Energy efficiency is becoming an issue many utility owners are focusing on. It is estimated that a majority of pump systems are oversized, many by more than 20%. With electricity costs accounting for 40% of the total cost of ownership (TCO) of a pump, managing the energy of this asset is key. Intelligent pumping, which incorporates IIoT, is a possi-
IIoT helps to interconnect things, services and people via the internet to improve data analysis, increase productivity, enhance reliability, save energy and costs, and generate new revenue opportunities. Courtesy: MG Strategy+
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ble resolution. This approach saves energy, increases equipment lifetime, and cuts maintenance costs by providing higher quality and precise data to operate.
Data science, modelling One major source of electricity usage in water/ wastewater facilities involves the pumping and aeration equipment systems. Implementing a data-driven framework for improving the performance of water/ wastewater pumping systems has been realized using data science techniques, modelling, leveraging IIoT technology and computational intelligence. A pump system’s performance is measured in energy consumption and pumped water/wastewater flowrate. Many pumps operate below their best efficiency point (BEP), resulting in excess energy being transmitted into vibration, heat and noise. All of these increase maintenance and energy costs. When equipment is not optimized for best efficiency, pump systems consume maintenance budgets by decreasing the mean time between repairs. Organizations must focus on total lifecycle cost (LCC) instead of initial purchase price. Many existing consumer options for wireless connectivity have failed to meet the needs of industrial applications. Reasons for this include poorly designed wireless communication technologies for wide area field networks and lapses in security and reliability. To address the security and reliability concerns, IEEE published a new standard for private, licensed wireless field area networks known as IEEE 802.16s Combining IIoT, automation and energy management initiatives, we can provide the water utility industry a historic future. With IIoT sensors offering a substantially cheaper price point with new battery powered networking solutions, the price barrier has been significantly reduced. Cutting-edge, IIoT water implementations are gaining traction with private and municipal water utilities, which see data and analytics as critical tools for overcoming the issue of aging water infrastructure. The ability to interconnect things, services and people via the internet improves data analysis, increases productivity, enhances reliability, saves energy and costs, and generates new revenue opportunities through innovative business models. The IIoT and the cloud services that support this ecosystem also offer the benefit of bringing worldclass analytics within reach of smaller production facilities. However, efficiencies driven by increased IIoTbased remote monitoring and control also expose water systems to potential cyberattacks or hacks, which could affect delivery. As water and wastewater operations leverage new technologies, there must be an increased focus on using secure and reliable wireless networking technology, anomaly detection and redesigned system architecture. www.controleng.com
Applications: 7 IIoT benefits IIoT is improving water management through: 1. Water leakage detection. Increases energy efficiency by correlating energy patterns to production and process variables. Analytics to detect water loss and theft and pressure management
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KEYWORDS: Industrial Internet of Things, automation, efficiency Water and wastewater applications benefit from IIoT applications. Interconnecting things, services and people via the internet increases productivity. Benefits include energy efficiency, water savings, and water quality.
KEYWORDS: Industrial Internet of Things, automation, efficiency CONSIDER THIS How could IIoT examples provide an edge?
ONLINE If reading from the digital edition, click on the headline for more resources. www.controleng.com/magazine Link to: Utility sector strengthens security posture with rise of IIoT
2. More efficient systemic water management. These IIoT water sensors track water quality, temperature, pressure, consumption, and more. These devices typically communicate directly with a water utility company to analyze the data and share with the consumer in an easy-to-understand format. Users can then understand how their consumption compares to city averages, previous months, and more. 3. Water quality and safety monitoring. 4. Transparency on wholesale and retail consumption. Respond to fluctuations in energy cost or new compliance requirements. Model performance in support of energy budgeting and contract negotiations 5. Prescriptive maintenance on infrastructure. Predictive and preventive maintenance and anomaly detection through IIoT data platform 6. Industry consolidation as technology firms build utility track records, and larger industrials find synergies within their product portfolios 7. Incentives for manufacturers to develop comprehensive â&#x20AC;&#x153;smart pumping systems.â&#x20AC;? ce
Anil Gosine is global program manager, MG Strategy+, a CFE Media content partner. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com. September 2019
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INNOVATIONS
See more New Products for Engineers. www.controleng.com/NPE
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Information platform for processing applications The Flow Information Platform is designed to help users see and understand their industrial data, guiding them along their digital transformation journey. It produces operational decision support and analysis software for manufacturing, infrastructure, processing and mining businesses. Within organizations, the platform empowers people across all levels and functions to make informed decisions, more frequently. Thus resulting in optimized operational effectiveness of existing equipment and process investments. Flow turns users into information management experts, by helping transform large quantities of disparate data into consolidated information. The platform has been built to compliment and integrate into control system historians, relational databases and cloud/Industrial Internet of Things (IIoT) data providers. Flow Software Inc., www.flowsoftware.com
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Electromagnetic filter series for PWM-driven motors OnFilter’s SF-series filters substantially reduce high-frequency leakage currents in pulse width modulation (PWM) motors and in wiring, assisting in compliance with the requirements of IEC 60034-17/-25. They also reduce interfering high-frequency noise within the tool resulting from PWM-driven motor operation. Filters outperform conventional reactors by reducing ground EMI currents by the factor of 20 or more. The filters have no mechanical coupling to the motors — all connections are electrical. Their cost of ownership of maintenance-free filters is zero. They are rated 3 to 20A up to 250V, carry ETL and CE approvals and are RoHS compliant. OnFilter Inc. www.onfilter.com
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Brushless servo motor series have low torque, low intertia The Orbex Group’s NdFeB-based brushless servo motors that combine high torque, low inertia and various customizable options to improve efficiency in dynamic servo-driven applications. Available in a range of frame sizes (60–176mm, the brushless servo motors include incremental encoders for position feedback and electrical commutation — enhancing motor efficiency, minimizing maintenance requirements and increasing throughput. Customizable windings make it easy to meet technical requirements, while integrated gear reducers reduce package size and lower overall costs. Other customizable features include brakes, additional feedback options, connectors and custom mounting options. Frameless configurations also are available for easy integration into high-level assemblies. Typical applications include communications, security and autonomous guided vehicles (AGVs), defense, packaging, robotics and others. Orbex Group, www.orbexgroup.com
Input #202 at www.controleng.com/information
Actuator series, auto cushioning Bimba’s PA Series NFPA actuator is designed to provide a consistent and reliable way to convert pneumatic energy into linear force and motion for a variety of applications. Its lightweight aluminum construction and extruded design are matched by its flexible mounting configurations and standard features. They are designed to meet the same requirements as typical NFPA actuators and include die-cast aluminum endcaps, extruded aluminum housing, and polymer pistons. Standard options like auto-cushioning and magnetic pistons allow the actuators to install and operate simply, promoting longer machine life.
On/off control valve series for process applications
Bimba, www.bimba.com
Circor International’s R.G. Laurence 2500 series of on/ off control valves are designed for applications demanding rapid opening and sealed closure. They are operated by an external lever connecting the lifting action of the linear actuator to the valve piston via a rotary shaft. Direct, semi-direct and pilot operated valve piston options make these valves ideal within light liquids and gases, such as hydrogen, oxygen, helium and carbon dioxide. The rotary shaft also enables stronger return spring action, ensuring a reliable and fail-safe return. The valves can safely handle up to 425°F fluid temperature, including steam, without the coil insulation breakdown often associated with packless type solenoid valves. They are designed to perform in dirty, viscous, or unclean liquids such as gasoline, fuel gases, lube and fuel oils as well as in all waters, including seawater, and steam.
Input #203 at www.controleng.com/information
Circor International, www.circor.com Input #204 at www.controleng.com/information
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INNOVATIONS
BACK TO BASICS: ROBOT INTELLIGENCE Suzanne Gill, Control Engineering Europe
Robots need to understand and think more Robots will need to think in the right context as economies embrace automation, connectivity and digitization and as levels of human-robot interaction increase.
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obots need to know the reason why they are doing a job if they are to effectively and safely work alongside people. In simple terms, this means machines need to understand motive the way humans do, and not just perform tasks blindly, without context. According to an article by the National Centre for Nuclear Robotics, based at the University of Birmingham, U.K., this could herald a profound, but necessary, change for the world of robotics. Lead author Dr. Valerio Ortenzi at the University of Birmingham argued the shift in thinking will be necessary as economies embrace automation, connectivity and digitization and levels of humanrobot interaction increase dramatically. The paper explores the issue of robots using objects. “Grasping” is an action perfected long ago in nature but one which represents the cutting-edge of robotics research. Most factory-based machines are “dumb,” blindly picking up familiar objects that appear in pre-determined places at just the right moment. Getting a machine to pick up unfamiliar objects, randomly presented, requires the seamless interaction of multiple, complex technologies. These include vision systems and advanced AI so the machine can see the target and determine its properties. Potentially, sensors in the gripper are required so the robot does not inadvertently crush an object it has been told to pick up.
Context is critical
Even when all this is accomplished, researchers highlighted a fundamental issue: what has traditionally counted as a “successful” grasp for a robot might be considered a real-world failure because the machine does not take into account what the goal is and why it is picking up an object. The paper cites the example of a robot in a factory picking up an object for delivery to a customer. It successfully executes the task, holding the package securely without causing damage. Unfortunately, the robot’s gripper obscures a crucial barcode, which means the object cannot be tracked, and the firm has no idea if the item has been picked up or not; the whole delivery system breaks down because
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the robot does not know the consequences of holding a box the wrong way. Ortenzi and his co-authors give other examples, involving robots working alongside people. “Imagine asking a robot to pass you a screwdriver in a workshop. Based on current conventions
‘
Human assumptions, such as obvious things about safety, might not be considered when
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programming robots, but need to be.
the best way for a robot to pick up the tool is by the handle. Unfortunately, that could mean that a hugely powerful machine then thrusts a potentially lethal blade towards you, at speed. Instead, the robot needs to know what the end goal is: to pass the screwdriver safely to its human colleague,” Ortenzi said. “What is obvious to humans has to be programmed into a machine, and this requires a profoundly different approach. The traditional metrics used by researchers, over the past 20 years, to assess robotKEYWORDS: robotics, programming, ic manipulation, are not sufficient. In the artificial intelligence most practical sense, robots need a new As robots evolve, their ability to think philosophy to get a grip.” and react to suggestions must also. The research was carried out in colA robot might be able to complete laboration with the Centre of Excellence a task, but if it’s done in the wrong context, the act is meaningless and for Robotic Vision at Queensland Unipossibly dangerous. versity of Technology, Australia, Scuola Researchers are working to program Superiore Sant’Anna, Italy, the German robots so they act in a more nuanced Aerospace Center (DLR), Germany, and and human way. the University of Pisa, Italy.ce ONLINE
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Suzanne Gill is editor, Control Engineering Europe. This article originally appeared on the Control Engineering Europe website. Edited by Chris Vavra, production editor, Control Engineering, CFE Media and Technology, cvavra@cfemedia.com. control engineering
Read this article online at www.controleng.com for more stories from Control Engineering Europe. www.controleng.com/international
CONSIDER THIS Robots’ ability to anticipate human variability is what they’ll have the most challenge with.
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Allied Electronics . . . . . . . . . . . C1, 7 . . . . . . . . . 5 . . . . . . . .www .alliedelec .com Automation24 . . . . . . . . . . . . 29, 48A-48D . . . . . . 12 . . . . . . .www .automation24 .com AutomationDirect . . . . . . . . .C2, 1, 16A-16D . . . . . 1, 2 . . . . . . .www .automationdirect .com Beckhoff Automation LLC . . . . . 13, 21 . . . . . . . 8, 10 . . . . . .www .beckhoff .com Bently Nevada . . . . . . . . . . . . . . 22, 23 . . . . . . . .11 . . . . . . .www .bently .com CFE Edu . . . . . . . . . . . . . . . . . . . . . .78 . . . . . . . . . . . . . . . . . .http://cfeedu .cfemedia .com CFE Edu Sponsored IIoT Series: Part 3: Edge, Fog and Cloud . . . . . .67 . . . . . . . . . . . . . . . . . .http://cfeedu .cfemedia .com/catalog Control Engineering Webcasts . . . .59 . . . . . . . . . . . . . . . . . .www .controleng .com/webcast Digi-Key ELECTRONICS . . . . . . . . .8 . . . . . . . . . . 6 . . . . . . . .WWW .DIGIKEY .COM Edge Computing Trend Report eBook sponsored by Stratus . . . . .49 . . . . . . . . . . . . . . . . . .www .controleng .com/stratusedge EZAutomation . . . . . . . . . . Bellyband, 32A-32D . . . . . . . . . . . . .www .EZAutomation .net Festo Corporation . . . . . . . . . . . . . .59 . . . . . . . . 15 . . . . . . .www .festo .com hargrove . . . . . . . . . . . . . . . . . . . . .67 . . . . . . . . 16 . . . . . . .www .hargrove-epc .com
AR, IL, IN, IA, KS, KY, LA, MN, MO, MS, NE, ND, OK, OH, SD, TX, WI, Central Canada
Bailey Rice (630) 571-4070 x2206 BRice@CFEMedia.com AK, AZ, CA, CO, HI, ID, MT, NV, NM, OR, UT, WA, WY, Western Canada
Iris Seibert (858) 270-3753 ISeibert@CFEMedia.com CT, DE, MD, ME, MA, NC, NH, NY, NJ, PA, RI, SC, VA, VT, WV, DC, Eastern Canada
Julie Timbol (978) 929-9495 JTimbol@CFEMedia.com Account Manager
Robert Levinger 630-571-4070 x2218 RLevinger@cfetechnology.com International (outside U.S., Canada)
Stuart Smith +44 208 464 5577 stuart.smith@globalmediasales.co.uk
Publication Services
Jim Langhenry, Co-Founder/Publisher, CFE Media JLanghenry@CFEMedia.com
Oriental Motor . . . . . . . . . . . . . . . . .34 . . . . . . . . 13 . . . . . . .www .orientalmotor .com
Steve Rourke, Co-Founder, CFE Media SRourke@CFEMedia.com
Phoenix Contact . . . . . . . . . . . . . . .2 . . . . . . . . . . 3 . . . . . . . .www .phoenixcontact .com/warranty
Laura Prochaska, Marketing Services Manager (773) 818-7771, LProchaska@CFEservices.com
SEW-EURODRIVE, Inc . . . . . . . . 4, C4 . . . . . . . 4, 22 . . . . . .www .seweurodrive .com
Kristen Nimmo, Marketing Manager KNimmo@CFEMedia.com
TADIRAN BATTERIES . . . . . . . . . . .15 . . . . . . . . . 9 . . . . . . . .www .tadiranbat .com
Brian Gross, Marketing Consultant, Global SI Database 630-571-4070, x2217, BGross@CFEMedia.com
Trihedral Engineering . . . . . . . . 10, 11 . . . . . . . . . 7 . . . . . . . .www .VTScada .com
Michael Smith, Creative Director 630-779-8910, MSmith@CFEMedia.com
UNIVERSAL ROBOTS . . . . . . . . . . .50 . . . . . . . . 14 . . . . . . .www .universal-robots .com
Paul Brouch, Director of Operations PBrouch@CFEMedia.com
Yaskawa America, Inc . . . . . . . . . . .C3 . . . . . . . . 21 . . . . . . .www .yaskawa .com
Michael Rotz, Print Production Manager 717-766-0211 x4207, Fax: 717-506-7238 mike.rotz@frycomm.com
Inside Process
Maria Bartell, Account Director, Infogroup Targeting Solutions 847-378-2275, maria.bartell@infogroup.com
Emerson Automation Solutions . .P2 . . . . . . . . 17 . . . . . . .www .emerson .com/project-certainty Load Controls Inc . . . . . . . . . . . . . . .P3 . . . . . . . . 18 . . . . . . .WWW .LOADCONTROLS .COM
Rick Ellis, Audience Management Director 303-246-1250, REllis@CFEMedia.com
TDK-Lambda Americas Inc . . . . . . .P8 . . . . . . . . 20 . . . . . . .www .us .tdk-lambda .com
Letters to the editor: Please e-mail us your opinions to MHoske@CFEMedia.com or fax 630-214-4504. Letters should include name, company, and address, and may be edited.
WAGO Corp . . . . . . . . . . . . . . . . . . .P4 . . . . . . . . 19 . . . . . . .www .wago .us
Information: For a Media Kit or Editorial Calendar, go to www.controleng.com/mediainfo. Marketing consultants: See ad index.
REQUEST MORE INFORMATION about products and advertisers in this issue by using the http://controleng.com/information link and reader service number located near each. If you’re reading the digital edition, the link will be live. When you contact a company directly, please let them know you read about them in Control Engineering.
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September 2019
control engineering
Custom reprints, electronic: Marcia Brewer, Wright’s Media, 281-419-5725, mbrewer@wrightsmedia.com
www.controleng.com
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