Electricity energy monitoring system for home appliances using raspberry Pi and node-red

This paper research deals with the shortcoming of late electricity bills that are generated only after the electrician comes to the residential area and measures the reading of the electricity meter manually. Electricity bill is only submitted once a month in Malaysia. The main concern of the projec...

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Bibliographic Details
Main Authors: Zamani, Nur Shazwany, Mohd. Ramli, Muhammad Shafie, Yusof, Khairul Huda, Md. Sapari, Norazliani
Format: Conference or Workshop Item
Published: 2023
Subjects:
Online Access:http://eprints.utm.my/108442/
http://dx.doi.org/10.1007/978-981-99-0405-1_10
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Institution: Universiti Teknologi Malaysia
Description
Summary:This paper research deals with the shortcoming of late electricity bills that are generated only after the electrician comes to the residential area and measures the reading of the electricity meter manually. Electricity bill is only submitted once a month in Malaysia. The main concern of the project is to design an Electricity Energy Monitoring System for Home Appliances using Raspberry Pi and Node-RED; consequently, to generate real-time bill. The architecture of the mechanism is designed on computer, using Node-RED-based coding and Circuito.Io-based simulation to achieve the goals of the project. The circuit design had been simulated before the real system was realized. Node-RED programming tool requires necessary coding to be keyed in into the Raspberry Pi. The microcontroller essentially provides the same function as NodeMCU, but is replaced with Arduino Uno as a more suitable choice, due to issues of the initial components having produced undesirable result. The outcome of this project is there are lots of information provided in dashboard form. The collected and generated data are stored in the SQLite database in Raspberry Pi. This project applies the Internet of Things (IoT) system to remotely monitor home appliances over the internet. In the proposed project, a current sensor senses the electricity energy, which then uploads the data via MQTT. The total consumption can be viewed using Node-RED.