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