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Smart and Secure Power Monitoring System for Collective Dormitory Based on IoT Technology

Published: 31 July 2024 Publication History

Abstract

A smart and secure power monitoring system for collective dormitory based on IoT technology is designed to address issues such as fire accidents caused by improper electricity usage. The system is based on smart electricity meters, and its metering chip collects dormitory electricity consumption data, which is sent to the cloud platform through the WIFI communication module. The cloud platform processes and stores electricity data, and visualizes the data through an APP. Users can remotely view the consumption data such as voltage, current, power, energy and balance of the dormitory, and plan their electricity usage reasonably. When there is unauthorized electricity usage in a dormitory, the system will alarm timely and allow remote power disconnection. The experimental results show that the system has the advantages of simple networking and easy modification, and realizes real-time monitoring and controlling of the electricity consumption, achieving energy conservation, and protecting safety of the collective dormitories.

References

[1]
National Fire and Emergency Response in 2020. 2021. National Fire and Rescue Bureau. Retrieved from https://www.119.gov.cn/gk/sjtj/2022/13721.shtml.
[2]
Dionysia K., Kostas G., Papantoniou S., 2016. Development of a web based energy management system for University Campuses: The CAMP-IT platform . Energy and Buildings (2016),Vol. 123, 119-135. https://doi.org/10.1016/j.epsr.2021.107567.
[3]
Reza S., Amirhossein M., Seyedeh Y.G., 2022. Intelligent hierarchical energy and power management to control the voltage and frequency of micro-grids based on power uncertainties and communication latency . Electric Power Systems Research (2022), Vol. 202, 107567. https://doi.org/10.1016/j.epsr.2021.107567.
[4]
Yang Mingzhi. 2022. Household electricity demand response and multi-objective optimization based on nonintrusive load monitoring. PhD Thesis, Economics and Management Department, China University of Mining and Technology.
[5]
Xiong Dezhi, Chen Xiangqun, and Chen Yilei. 2019. Development of an intelligent electricity monitoring device. Electrical measurement and instrumentation (May 2019), 143-147+152. http://dx.doi.org/10.19753/j.issn1001-1390.2019.05.024.
[6]
Zhang Qin, Xia Shuibin, Xu Jian. 2022. Study on control of operation status electric energy metering equipment . Automation instruments(December 2022), 76-80. http://dx.doi.org/10.16086/j.cnki.issn1000-0380.2020120026.

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  1. Smart and Secure Power Monitoring System for Collective Dormitory Based on IoT Technology

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 31 July 2024

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