IoT-Based Intelligent Power Surveillance and Theft Detection Framework

Abstract

Electricity theft is a very common problem in country where population is very high and the use of electricity are ultimately tremendous. The aim of this paper is to design and develop an improved smart power monitoring and theft detection model by developing and designing a smart circuit that senses a higher load compared to what the meter reads and sends an alert to the authorities. This is simulated on Proteus 8 software simulator to validate that Internet of Things (IoT) can be integrated into our electricity billing system. And then we do comparative analysis on the effect of the theft load on the quality of power distributed. The improved smart power monitoring and theft detection model includes several modules such as current sensor, voltage sensor, ATmega32 microcontroller, Liquid Crystal Display (LCD) display, voltage regulator (LM7805), Light bulbs and Raspberry pi module. The ATmega32 microcontroller runs on an embedded C++ program and acts as the power monitoring model while the Raspberry Pi 3 module acts as the power theft detector that runs on Python codes. The voltage and the current sensors are tested and found to be functioning properly. Without any human interface this model provides an effective and easy way to detect electrical theft.