IoT Based Energy Meter

Authors

  • M. Perarasi Assistant Professor, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India
  • D. Aashish Fourth Year Student, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India
  • R. V. Abilash Fourth Year Student, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India
  • P. Arun Rajan Fourth Year Student, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India
  • P. Chiranjeevi Fourth Year Student, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India
  • M. Athavan Fourth Year Student, Department of Electrical and Electronics Engineering, R. M. K. Engineering College, Chennai, India

Keywords:

Azure, Power BI, SQL Database, Twilio, Xively

Abstract

In the modern world, electricity is one of the major entity for the survival of humanity. This paper shows how to efficiently manage energy distribution and power outage using AI in automatic meter infrastructure. The project is to create AI based Energy Meter using Raspberry Pi. Developed nations are already using computerized meter frameworks (AMR). These are more precise estimating gadget than the ordinary electromechanical meter perusing framework. This paper shows a how to efficiently manage energy distribution and power outage using AI in automatic meter infrastructure. Microcontroller is used to identify the power consumption and identified power consumption will be transferred to Raspberry Pi to call the Wi-Fi Module to transfer the data to Azure. Power Consumption will be stored in Azure SQL Database. We also collecting the data of weather conditions based on locations. Data collected from Raspberry Pi and weather data were consumed into AI and it predicts the pattern in Power Usage. With the help of collected data power outage notification will be sent to technician and electricity customers. The proposed system continuously sends data to the cloud to monitor data from anywhere using Microsoft Power BI.

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Published

30-08-2020

How to Cite

[1]
M. Perarasi, D. Aashish, R. V. Abilash, P. A. Rajan, P. Chiranjeevi, and M. Athavan, “IoT Based Energy Meter”, IJRESM, vol. 3, no. 8, pp. 468–470, Aug. 2020.

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Articles