JOURNAL ARTICLE

Internet of Things based Smart Energy Meter with Fault Detection Feature and Theft Detection

Praveen Kallukalam SebastianK. Deepa

Year: 2022 Journal:   2022 International Conference on Electronics and Renewable Systems (ICEARS) Vol: 5 Pages: 494-500

Abstract

Electricity is one of the basic needs in humans' daily life. Life cannot be thought without electricity since modernization has made Air Cooler, heating system, and refrigerator, etc as a basic equipment in everyone's life. Furthermore its widely seen that domestic, agricultural, and industrial settings would not function without electricity so the generation and transmission of the same with less losses is the need of the hour. The biggest problem occurring nowadays is the theft occurring, meters which are used for measuring the consumption of units do not account this power theft and other different tampering occurring in meters. This paper discusses an Internet of Things (IoT)-based smart meter with fault detection and theft detection. Even the present conventional meters can be converted to smart energy meters with a simple change in circuit. It mainly consists of Arduino Uno, ESP8266, AC712 current sensors, etc Where the AC712 senses the current usage and with the help of ESP32 it is sent to the adafruit io IoT platform. From there the utility provider can real-time data like the voltage and current consumption, tariff. The proposed system also detects anomalies and theft occurring in the system with the help of an current sensor by measuring the incoming and outgoing current. The results of every cases has been shown in the adfruit io platform in the real time basis itself.

Keywords:
Electricity meter Electricity Internet of Things Computer science Fault detection and isolation Fault (geology) Smart meter Metre Electrical engineering Computer security Real-time computing Embedded system Power (physics) Engineering

Metrics

14
Cited By
5.17
FWCI (Field Weighted Citation Impact)
24
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electricity Theft Detection Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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