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  • Please use this identifier to cite or link to this item: https://repositorio.uti.edu.ec//handle/123456789/3797
    Title: IoT-Based Alternating Current Electrical Parameters Monitoring System
    Authors: Varela-Aldás, José
    Silva, Steven
    Palacios-Navarro, Guillermo
    Issue Date: 2022
    Publisher: Energies. Open Access. Volume 15, Issue 18
    Abstract: settingsOrder Article Reprints Open AccessArticle IoT-Based Alternating Current Electrical Parameters Monitoring System by José Varela-Aldás 1,*ORCID,Steven Silva 1 andGuillermo Palacios-Navarro 2ORCID 1 SISAu Research Group, Facultad de Ingeniería y Tecnologías de la Información y la Comunicación, Universidad Tecnológica Indoamérica, Ambato 180103, Ecuador 2 Department of Electronic Engineering and Communications, University of Zaragoza, 44003 Teruel, Spain * Author to whom correspondence should be addressed. Energies 2022, 15(18), 6637; https://doi.org/10.3390/en15186637 Received: 17 August 2022 / Revised: 6 September 2022 / Accepted: 7 September 2022 / Published: 10 September 2022 (This article belongs to the Special Issue IoT and Sensor Networks in Smart Buildings and Homes) Download Browse Figures Versions Notes Abstract Energy monitors are indispensable for achieving efficient electrical grids and even more so in the age of the Internet of Things (IoT), where electrical system data are monitored from anywhere in the world. This paper presents the development of a two-channel electrical parameter-monitoring system based on the M5 Stack Core2 kit. The acquisition of variables is done through PZEM 004T V3.0 sensors, and the data are sent to the ThingSpeak cloud database. Local readings are done through the LCD, and data re stored on a micro SD card. Remote monitoring is done through two applications, namely a web application and a mobile application, each designed for different purposes. To validate this proposal, a commercial device with IoT features (Gen 2 Vue Energy Monitor) is used, comparing the active power and active energy readings recorded continuously for 7 days. The results indicate an accuracy of up to 1.95% in power and 0.81% in energy, obtaining a low-cost compact product with multiple features.
    URI: https://www.mdpi.com/1996-1073/15/18/6637/htm
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