Smart Industries in Industry4.0: An IoT and Cloud Based Real Time Energy Meter Monitoring System
Prateek Agrawal1, Himmat Khatik2, Yogendra Singh Solanki3, Aditya Maheshwari4, Vivek Jain5
1Prateek Agrawal, Department of Electronics and Communication Engineering, Techno India NJR Institute of Technology, College, Biliya (Rajasthan), India.
2Himmat Khatik, Department of Electronics and Communication Engineering, Techno India NJR Institute of Technology, College, Biliya (Rajasthan), India.
3Yogendra Singh Solanki, Assistant Professor, Department of Electronics and Communications, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
4Aditya Maheshwari, Capacity of Project Lead- New Initiative & Research, Techno India NJR Institute of Technology Udaipur (Rajasthan), India.
5Dr. Vivek Jain, Assistant Professor, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
Manuscript received on 15 March 2020 | Revised Manuscript received on 22 March 2020 | Manuscript Published on 30 March 2020 | PP: 4-7 | Volume-9 Issue-3S March 2020 | Retrieval Number: C10020393S20/20©BEIESP | DOI: 10.35940/ijeat.C1002.0393S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With increase in low cost internet and with advent of 4G technologies increase in internet speed, IoT-based applications are getting more popular day by day and it provides effective solution of many real time monitoring problems. In this research, a cloud based real-time monitoring system for industrial energy meter has been proposed. The prototype system provides continuous and ubiquitous access to energy consumption of the equipment under monitoring to the consumer using IoT technology. To implement the system in any industry it requires a simple and low-cost upgrade to the existing meters rather than complete replacement. Based on the experimental analysis, it is found that from the collected data, it is possible to obtain the pattern of consumption as well as faultiness present in the existing system. In terms of future scope of work, the presented work can also be extended to grid distribution level from which load distributed in the area can be estimated so that the system can be strengthened to enhance performance.
Keywords: CRC: Cyclical Redundancy Check, LRC: Longitudinal Redundancy Check, THD: Total Harmonic Distortions: Universal Serial Bus, Smart Energy Meter, IoT, Cloud, and Load Optimization.
Scope of the Article: IoT