International Journal of Electronics, Communication & Instrumentation Engineering Research and Development (IJECIERD) ISSN 2249-684X Vol. 2 Issue 4 Dec 2012 37-42 Š TJPRC Pvt. Ltd.,
EMBEDDED DATA ACQUISITION SYSTEM USING M2M COMMUNICATION 1 1 2
PANSAMBAL B. H. & 2R. D. KOKATE
SRES College oof Engineering, Kopargaon, Maharashtra, India
Jawaharlal Nehru Engineering College Aurangabad Aurangabad, Maharashtra, India
ABSTRACT M2M communication is introduced to reduce human interference, response time & improve accuracy of any system. Wireless GSM communication networks are becoming faster & reliable with each next generation. These characteristics of networks can be used to make industrial applications more flexible by providing remote accessibility. This is system is designed & proposed for remote assistance for industrial embedded application through Wireless GSM network services like SMS. System will continuously monitor, maintain and lock different parameters of boiler like temperatures, liquid level and d pressure .In case perceived value exceeds than set range, controlling action will be initiated and same is informed to remote server as well as operator. The operator can monitor and update set point directly via SMS or remote server.
KEYWORDS : Smart DAS,M2M, AS,M2M, GSM, SMS,
Figure 1: Role of M2M Communication in Industrial Automation
INTRODUCTION Now a day’s many embedded Data Acquisition [DAS] systems are being used in industries. Majority among them are either stand alone or interacting with users through some standard communication interfaces like USB, Serial or Parallel communication, Controller Area Network(CAN) bus protocol. But to assist these systems either operator has to be in proximity of few meters or system need to be interfaced with inte internet rnet enabled PC/Server for extending the range of accessibility. Figure. 1 shows role of M2M communication in industrial automation application. This work focuses on particular problem of operator involvement and lack of centralized data logging, correlati correlation and analysis functionality needed to improve decision making power remotely. The architecture uses software and hardware components already available and it does not required any improvement or modification to current GSM network, while the existing DAS S systems can easily become smarter and flexible by enabling M2M Communication.[3]
PROBLEM STATEMENTS In processing plants the DAS systems have various input and output parameters to be observed, controlled and regulated. A main problem is to acquire and transmit such huge data from remote location through wired or wireless network in real time. Wireless networks etworks using radio frequency is having wide coverage area but they get interrupted by