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

Research of IoT Technology Based Online Status Monitoring

Authors

  • Yuanjiang Ma State Grid Sichuan Electric Power Company
  • Xudong Lu State Grid Sichuan Electric Power Company
  • Liang Hong State Grid Sichuan Electric Power Company
  • Xuan He State Grid Sichuan Electric Power Company
  • Mianqian Qiu State Grid Sichuan Electric Power Company
  • Mingliang Tang State Grid Sichuan Electric Power Company
  • Lei Chen State Grid Sichuan Electric Power Company

DOI:

https://doi.org/10.4108/eetsis.4559

Keywords:

IoT, online status monitoring, relay selection, analytical data rate

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.

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Published

05-03-2024

How to Cite

1.
Ma Y, Lu X, Hong L, He X, Qiu M, Tang M, Chen L. Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment: Research of IoT Technology Based Online Status Monitoring. EAI Endorsed Scal Inf Syst [Internet]. 2024 Mar. 5 [cited 2024 Apr. 18];. Available from: https://publications.eai.eu/index.php/sis/article/view/4559

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