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Research Article

Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment

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  • @ARTICLE{10.4108/eetsis.4559,
        author={Yuanjiang Ma and Xudong Lu and Liang Hong and Xuan He and Mianqian Qiu and Mingliang Tang and Lei Chen},
        title={Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2024},
        month={3},
        keywords={IoT, online status monitoring, relay selection, analytical data rate},
        doi={10.4108/eetsis.4559}
    }
    
  • Yuanjiang Ma
    Xudong Lu
    Liang Hong
    Xuan He
    Mianqian Qiu
    Mingliang Tang
    Lei Chen
    Year: 2024
    Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment
    SIS
    EAI
    DOI: 10.4108/eetsis.4559
Yuanjiang Ma1, Xudong Lu1, Liang Hong1, Xuan He1, Mianqian Qiu1, Mingliang Tang1, Lei Chen1,*
  • 1: State Grid Sichuan Electric Power Company
*Contact email: cchen11@126.com

Abstract

The rapid proliferation of the Internet of Things (IoT) has revolutionized the field of status monitoring for electrical equipment such as hydropower station equipment, offering enhanced efficiency and reliability in maintenance and operations. In this paper, we investigate the utilization of IoT transmission technology enhanced by multiple relays, denoted as $M$ relays, to augment the monitoring of hydropower station equipment. To further optimize the performance of the system, we employ partial relay selection, commonly referred to as selection combining. This study delves into the analysis of the system performance by deriving analytical data rates, with a focus on quantifying the benefits of employing partial relay selection in IoT transmission for electrical equipment status monitoring. Our analytical approach enables a comprehensive evaluation of system efficiency, considering factors such as data rate, reliability, and power consumption. Through our analysis, we aim to provide valuable insights into the trade-offs and advantages of incorporating partial relay selection into IoT systems, ultimately assisting in the development of more effective and efficient solutions for status monitoring on electrical equipment. By examining the impact of $M$ relays and partial relay selection on IoT transmission technology, this research contributes to the ongoing efforts to enhance the reliability and robustness of status monitoring for electrical equipment, ultimately advancing the capabilities of IoT-based solutions in the context of electrical systems and equipment maintenance.

Keywords
IoT, online status monitoring, relay selection, analytical data rate
Received
2023-12-08
Accepted
2023-03-03
Published
2024-03-05
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.4559

Copyright © 2023 Y. Ma et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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