Iot Based Power Monitoring System

International Journal of Computer Science and Engineering

© 2021 by SSRG - IJCSE Journal

Volume 8 Issue 4

Year of Publication : 2021

Authors : Jaiganesh P M , DR. B.Meenakshi Sundaram

10.14445/23488387/IJCSE-V8I4P102

How to Cite?

Jaiganesh P M , DR. B.Meenakshi Sundaram, "Iot Based Power Monitoring System," SSRG International Journal of Computer Science and Engineering , vol. 8,  no. 4, pp. 4-7, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I4P102

Abstract:

Internet of Things (IoT) is an emerging technology where the sensors interconnected with an embedded controller to receive or transfer the data to the cloud. Today, industrial monitoring has an important part in the industrial field to monitor and control industrial machines' health conditions. In this project, IoT based solution is proposed for industrial equipment monitoring. The proposed system consists of an ARDUINO controller, sensors, and WI-FI module. The vibration sensor is used to measure the health condition of machines, and the temperature sensor is utilized to sense the heat level of machines. The collected data updated to the server by node-MCU. Implementation results show that the usefulness of the proposed system with low cost and maintenance.

Keywords:

Power Monitoring, IOT

References:

[1] Him, L. C., Poh, Y. Y., & Pheng, L. W. IoT-based Predictive Maintenance for Smart Manufacturing Systems. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). (2019).
[2] D’Emilia, G., Gaspari, A., & Natale, E. Integration of model and sensor data for smart condition monitoring in mechatronic devices. 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). (2019).
[3] Halvorsen, H.-P., Grytten, O. A., Svendsen, M. V., & Mylvaganam, S., Environmental Monitoring with Focus on Emissions Using IoT Platform for Mobile Alert. 2018 28th EAEEIE Annual Conference (EAEEIE). (2018).
[4] Ramadan, M. Industry 4.0: Development of Smart Sunroof Ambient Light Manufacturing System for Automotive Industry. 2019
Advances in Science and Engineering Technology International Conferences (ASET). (2019).
[5] Adame, T., Bel, A., & Bellalta, B., Increasing LPWAN Scalability by Means of Concurrent Multiband IoT Technologies: An Industry 4.0 Use Case. IEEE Access, 7, (2019) 46990–47010.
[6] Yen, I.-L., Zhang, S., Bastani, F., & Zhang, Y. A Framework for IoT-Based Monitoring and Diagnosis of Manufacturing Systems. 2017 IEEE Symposium on Service-Oriented System Engineering (SOSE) (2017).
[7] Ur Rehman, A., Khan, U. A., Sheikh, U., Nasruminallah, Sher, M., Razzaq, M., … Bokhari, S. M. M. Web & Android-based file sharing, Hardware monitoring, and control. 2015 International Conference on Emerging Technologies (ICET). (2015).
[8] Yingfeng Zhang, & Shudong Sun. Real-time data-driven monitoring and optimization method for IoT-based sensible production process. 2013 10th Ieee International Conference On Networking, Sensing, And Control (Icnsc). (2013).
[9] Addabbo, T., Fort, A., Landi, E., Moretti, R., Mugnaini, M., Parri, L., & Vignoli, V. A Characterization System for Bearing Condition Monitoring Sensors, a Case Study with a Low Power Wireless Triaxial MEMS Based Sensor. 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT. (2020).
[10] Dr. B.Sakthivel, R.Jeyapandiprathap, M.Jeyamurugan, Dr. G.Narmadha Iot Based Solar Power Monitoring And Prediction Using Cuckoo Optimized LSTM, International Journal of P2P Network Trends and Technology 11(2) (2021) 6-8.
[11] Shahzad, K., & Onils, M. Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study. 2018 Workshop on Metrology for Industry 4.0 and IoT. doi:10.1109/metroi4.2018.8428306 , (2018).
[12] D’Aloia, M., Longo, A., Guadagno, G., Pulpito, M., Fornarelli, P., Laera, P. N., … Rizzi, M., Low Cost IoT Sensor System for Real-time Remote Monitoring. 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT. (2020).
[13] Picot, H. W., Ateeq, M., Abdullah, B., & Cullen, J. Industry 4.0 LabVIEW Based Industrial Condition Monitoring System for Industrial IoT System. 2019 12th International Conference on Developments in eSystems Engineering (DeSE). (2019).