Design and Development of iLON Smart Server Based Remote Monitoring System for Induction Motors
Electrical energy demand in the World and particularly in India, is increasing drastically more than its production over a period of time. In order to reduce the demand-supply gap, conserving energy becomes mandatory. Induction motors are the main driving force in the industries and contributes to about half of the total plant energy consumption. By effective monitoring and control of induction motors, huge electricity can be saved. This paper deals about the design and development of such a system, which employs iLON Smart Server and motor performance monitoring nodes. These nodes will monitor the performance of induction motors on-line, on-site and in-situ in the industries. The node monitors the performance of motors by simply measuring the electrical power input and motor shaft speed; coupled to genetic algorithm to estimate motor efficiency. The nodes are connected to the iLON Server through RS485 network. The web server collects the motor performance data from nodes, displays online, logs periodically, analyzes, alerts, and generates reports. The system could be effectively used to operate the motor around its Best Operating Point (BOP) as well as to perform the Life Cycle Assessment of Induction motors used in the industries in continuous operation.
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 “Total Primary Energy Production 2014”, International Energy Statistics.
 Statistical report presented by Bureau of Energy Efficiency (BEE) through “Standards & Labeling (S&L) Program for Motor in India”, in MEPSA 2009
 Bruno De Wachter, “Application Note – Electric Motor Asset Management”, European Copper Institute, Publication No: Cu0104, Issue: 02, August 2011. www.leonardo-energy.org/node/6186
 Yang, M., “Energy efficiency policy impact in India: case study of investment in industrial energy efficiency. In: Energy Policy, 34 (17), 2006, pp. 3104-3114.
 Ayyappan. G.S et.al., “Design and Development of on-Line, on-Site, in-Situ Induction Motor Performance Analyser”, World Academy of Science, Engineering and Technology (WASET), International Journal of Energy and Power Engineering, Vol. 11, No. 1, 2017.
 G. S. Ayyappan et. al, “Genetic algorithm based on-site Induction Motor Efficiency Monitoring Systems”, Journal of Instrument Society of India, Vol. 39, No. 4, pp. 280-282, December 2009.
 T. Phumiphak and C. Chat-Uthai, “Estimation of Induction Motor Parameters Based on Field Test Coupled with Genetic Algorithm”, Proceedings of 2002 International Conference on Power System Technology, PowerCon 2002, vol. 2, Kunming, China, Oct. 2002, pp. 1199–1203.
 Jafar Mohammadi, Mohammad B.B. Sharifian, Khalil Banan, “Induction Motor Efficiency Estimation using Genetic Algorithm”, Proceedings of World Academy Of Science, Engineering and Technology, January 2005, Volume 3, ISSN 1307-6884.
 iLon Smart Server 2.2 FT, Echelon Corporation, https://www.echelon.com/ products/ smartserver
 Sadik Tamboli, Mallikarjun Rawale, Rupesh Thoraiet and Sudhir Agashe, “Implementation of Modbus RTU & Modbus TCP Communication using Siemens S7-1200 PLC For Batch Process”, International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials, 2015, pp. 258 - 263.
 “IEEE Standard Test Procedure for Polyphase Induction Motors and Generators”, IEEE 112 Standards, 2004.
 “Guide for the use of Electric Motor Testing Methods Based on IEC 60034-2-1”, May 2011, Version 1.1, Electric Motor Systems, Annex (EMSA) Task C – Testing Centers.
 “Unlocking National Energy Efficiency Potential (UNNATEE)”, Bureau of Energy Efficiency, Ministry of Power, Govt. of India, February 2019.