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2023 | OriginalPaper | Chapter

Electricity Energy Monitoring System for Home Appliances Using Raspberry Pi and Node-Red

Authors : Nur Shazwany Zamani, Muhammad Shafie Mohd Ramli, Khairul Huda Yusof, Norazliani Md. Sapari

Published in: Soft Computing in Data Science

Publisher: Springer Nature Singapore

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Abstract

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.

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Literature
3.
go back to reference Shirsat, P.G.K., Bhangale, N.U., Gurav, U.Y., Jawale, S.A.: IoT Based Energy Monitoring System for Energy Conservation, pp. 758–763 (2020) Shirsat, P.G.K., Bhangale, N.U., Gurav, U.Y., Jawale, S.A.: IoT Based Energy Monitoring System for Energy Conservation, pp. 758–763 (2020)
5.
go back to reference Al-Humairi, S.N.S., Zainol, M.H., Razalli, H., Raya, L., Irsyad, M., Abdullah, R., Daud, J.: Conceptual design: a novel Covid-19 smart AI helmet. Int. J. Emerg. Technol. 11(5), 389–396 (2020) Al-Humairi, S.N.S., Zainol, M.H., Razalli, H., Raya, L., Irsyad, M., Abdullah, R., Daud, J.: Conceptual design: a novel Covid-19 smart AI helmet. Int. J. Emerg. Technol. 11(5), 389–396 (2020)
Metadata
Title
Electricity Energy Monitoring System for Home Appliances Using Raspberry Pi and Node-Red
Authors
Nur Shazwany Zamani
Muhammad Shafie Mohd Ramli
Khairul Huda Yusof
Norazliani Md. Sapari
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-0405-1_10

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