Introduction Our Capabilities
What we do
Leading IoT solutions provider
Leverage Domain expertise to develop scalable solutions
Universal Data Gateways
Cloud based Big Advanced Data Architecture Analytics
Our Philosophy
Any Device. Any Network. Any Protocol. Confidential & Proprietary Document
Technology Stack Any Device.
Domain Specific Applications
Cloud Platform
Any Network. Any Protocol. Domain Agnostic
Future Ready Tech Stack
Data Analytics Secure communication architecture Scalable Big Data Architecture
Confidential & Proprietary Document
Machine Learning Capabilities
solarpuls e windpuls e factorypul se
Product Portfolio – Hardware iceBoxTM • Customizable for end use across industries • Industrial grade hardware from leading vendors • Currently deployed across 22 utility solar plants • Compatible with Modbus RS 485, TCP IP, OPC
MACXTM
Node X1TM
Hybrid Source Controller + Data Acquisition device
Data Acquisition device
• Source side controller to Minimize DG & Grid consumption
• Supports multimode communication: Wifi, LAN, GPRS
• Supports multiple DG & Battery setups
• Supports ModBus RS 485 & TCPIP
• 2 months local data backup provision
• Remote configuration and updates • 2 months local data backup provision
Confidential & Proprietary Document
Product Portfolio – Software erixisTM Robust IOT cloud platform to enable data storage and advanced analytics • Easily scalable cloud architecture • Architecture can be deployed on local server as well • State of the art big data structure and databases • In built device management capabilities
CORTEX AGENTTM Robust Middleware Communication Layer • OPC UA compliant communication bus • Inbuilt encryption protocols • Auto Device discovery and configuration • Device level user authentication and access control
Confidential & Proprietary Document
CortexAgent
Focus on Analytics Competitive Advantage
Sense & Respond
Predict & Act Optimisation
Under Development
Predictive Modelling How to improve? – Prescriptive
Analytics
Generic Predictive Analytics What will happen? – Predictive
Analytics
Ad Hoc Reports
Raw Data
Cleaned Data
Standard Reports
Why did it happen? – Diagnostic
What Happened? – Descriptive Source: SAP
Analytics
Analytics Maturity of Analytics Capabilities
Integrated in MachinePulse solutions
Industry Specific Solutions
solarpuls Industry leading Solar monitoring & asset e management solution
Utility Scale
Distributed
Capacity Monitored
300 MW
5.1 MW
Monitored * Sites 200 MW under deployment
25
14
windpuls Developed in association with a leading Indian IPP e WindPulse
Capacity
No. Of sites
456 MW
10
Confidential & Proprietary Document
factorypul Pilot testing of solution developed in association with se Mahindra group companies No. Of sites Steel Processing Centre
1
Auto Engine Manufacturing Plant
1
Our Customers
India’s Best performing PV plant: PR Fonroche Energy runs on SolarPulse (>84% PR consistently for 18 Months) Confidential & Proprietary Document
Awards & Recognitions
Solar IT & Data Analytics Company Of The Year award for outstanding “Contribution Towards Development of Indian Solar Industry” - India Solar Week, 2016
Solar IT and Data Service Provider for outstanding “Contribution Towards Development of Solar Industry” - 5th Global Solar EPC Summit Awards, 2015
MachinePulse named #1 fastest growing PV monitoring solution in India -GTM Global PV Research, 2014
Confidential & Proprietary Document
Mahindra Innovation Award -Mahindra & Mahindra, 2012
Why MachinePulse Stable Partner
Domain Expertise Our Solutions are developed by leveraging domain expertise both in-house and with industry experts • Offers maximum value for customers • Key product differentiator
MachinePulse is a part of the Mahindra Group, ensuring stability, highest standards of customer support & quality Your projects are designed to last 20+ years, we will support you throughout
Solutions support decisions instead of pure monitoring
Global Standards
Cutting Edge Technology Stack
Our products are developed in accordance with industry
We work on future ready technologies and benchmark
standard certifications. This ensures
with the best in the world
• Highest standards of quality • Low failure rate
• Modular platform architecture supports rapid scale up
• Enhanced customer experience Confidential & Proprietary Document
• Ensures reliability and security of your asset’s data
solarpulse
Intelligent PV Monitoring Platform Currently Monitoring 305 MW across 39 sites Additional deployment under Progress: 200 MW
Confidential & Proprietary Document
SolarPulse: Enabling Smart O&M What is Smart O&M Smart O&M Traditional O&M MONITORING
CONTROL
OPTIMISATION
AUTONOMY
Traditional SCADA Existing Solar Monitoring Solutions
solarpulse Objectives of Smart O&M Maximizing Generation
Maximizing Uptime
Performance Benchmarking
Failure Prediction & Preventive Maintenance
Driving Components to Global maxima
Anomaly Prediction
LOWER LEVEL ANALYTICS
ADVANCED ANALYTICS
Benefits of Smart O&M Asset Owners
Asset Operators
Increased Generation
Reduced O&M Cost
Higher Uptime
Rapid Issue Resolution
Higher Asset Efficiency
Performance Analytics
SolarPulse Features
SolarPulse
Plant Monitoring
• Role based access to track relevant plant KPIs • Real time monitoring of physical health of plants & devices • Detailed alarms & reports with options to customise
Maximize Performance
• Device benchmarking to identify underperforming devices • Algorithms to predict plant & device outputs in real time • Benchmark actual device performance with ideal state
Generation Forecasting
• Advanced algorithms to forecast plant generation as per regulations
Optimize O&M
• Predictive maintenance scheduling and tracking • Integration with ERP to simplify inventory management
Portfolio Management
• Access all plants from a single dashboard • Compare plant performance on key KPIs
Advanced Analytics – SolarPulse USP SolarPulse uses advanced analytics algorithms to ensure that our customers have a better understanding of their plant performance both at an aggregated and each device level
Existing Solutions Analytics
SolarPulse Analytics Features
Pure monitoring solutions – Descriptive Analytics
Real time generation prediction for solar plants
Benchmarking based on relative output
Models to predict individual device performance
Fault prediction and forecasting not available
Proactive Failure detection using constant condition monitoring
Inefficient loss estimation
Detailed loss estimation approach by modelling uncertain factors
windpulse
Wind Monitoring Platform Currently Monitoring 456 MW across 10 sites Confidential & Proprietary Document
Challenges Faced by IPP’s
Multiple OEM support
Limited Data access
Lack in Analytics
Granular reporting
Confidential & Proprietary Document
Optimize O&M cost
Reduce Downtime
Poor GUI
WindPulse - Features OEM Agnostic: Multiple OEMs integrated into common solution
Root cause Analysis: Turbine benchmarking & Energy loss analysis
Generation prediction: Power prediction using machine learning Algorithms
Scheduler: Maintenance scheduling and tracking
Predictive Maintenance: Predictive maintenance using machine learning and AI
Confidential & Proprietary Document
Portfolio Managemen t Performanc e Analytics Wind Power Forecasting Asset Managemen t Predictive Analytics
Thank You Contact us: sales@machinepulse.com +91 22 6174 1608/1609
www.machinepulse.com