5. ECE - IJECIERD - final

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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

PANSAMBAL B. H. & 2R. D. KOKATE

1 2

SRES college of engineering, Kopa Kopargaon.

Jawaharlal Nehru Engineering College Aurangabad

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 ne next generation. These characteristics of networks can be used to make industrial applications more flexible by providing remote accessibility. This 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 pressure .In case perceived value exceeds than set range, controlling action will be initiated and same is informed ormed 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, GSM, SMS,

Figure 1. Role oof M2M Communication in Industrial Automation

INTRODUCTION Now a day’s many embedded mbedded 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 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 internet enabled PC/Server for extending the range of accessibility. Figure. 1 shows role of M2M communication in industrial industri automation application. This work focuses on particular problem of operator involvement and lack of centralized data logging, correlation and analysis functionality needed to improve decision making power remotely. The architecture uses software and hardware dware components already available and it does not required any improvement or modification to current GSM network, while the existing DAS systems can easily become smarter and flexible by enabling M2M Communication.[3]

PROBLEM STATEMENTS In processing plants ants 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 using ra radio dio frequency is having wide coverage area but they get interrupted by obstacles like walls, building etc. such wireless systems are more complex. Also the cost of implementation is significantly high. The challenge is to provide cost effective, simple and always-on on wireless solution for communication.


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