IoT Based Electricity Theft Detection and Monitoring

Authors

  • Aaditya Nandrekar UG Student, Department of Electrical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India
  • Amar Pawar UG Student, Department of Electrical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India
  • Prachoday Sutar UG Student, Department of Electrical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India
  • Aakanksha Kadam UG Student, Department of Electrical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India
  • Amit Jadhav Assistant Professor, Department of Electrical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India

Keywords:

Electricity, Theft detection, Current sensors, Internet of Things, Wi-Fi module, Microcontroller, ThingSpeak

Abstract

Smart homes, smart meters, and the Internet of Things are now widely used to replace traditional analogue meters. This data can be transferred wirelessly, reducing the amount of human labour required. However, there is a possibility of theft. Due to the unavailability of specific approaches in the existing solution, these thefts are not accurately identified. The proposed project’s goal is to create a system that can track the amount of electricity used per load and trace as well as eliminate electricity theft in the existing line and meter. This initiative also entails to alert the officials from the Electricity Board about the theft that occurred as a result of IoT. A network of connected devices, such as sensors, aids in the transmission of real-time data over the Internet. The Atmega328p microcontroller is used to detect power theft and relay the information to the Wi-Fi module, which further passes stealing to the electricity board.

Downloads

Download data is not yet available.

Downloads

Published

26-04-2022

Issue

Section

Articles

How to Cite

[1]
A. Nandrekar, A. Pawar, P. Sutar, A. Kadam, and A. Jadhav, “IoT Based Electricity Theft Detection and Monitoring”, IJRAMT, vol. 3, no. 4, pp. 118–120, Apr. 2022, Accessed: Sep. 08, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1964