A Deep Sensing System for Monitoring the Health Status of Transmission Line Equipment Based on Self-Powered Sensors

被引:2
|
作者
Guo, Beibei [1 ,2 ]
Li, Qiqi [1 ,2 ]
Jiang, Weihua [3 ,4 ]
Lu, Kai [5 ]
Cheng, Haoming [6 ]
机构
[1] Henan Inst Technol, Sch Elect Engn & Automat, Xinxiang 453003, Henan, Peoples R China
[2] Henan Inst Technol, Henan Engn Res Ctr Key Equipment New Energy Power, Xinxiang 453003, Henan, Peoples R China
[3] Henan Inst Technol, Sch Cable Engn, Xinxiang 453003, Henan, Peoples R China
[4] Henan Inst Technol, Henan Key Lab Cable Struct & Mat, Xinxiang 453003, Henan, Peoples R China
[5] China Energy Sci & Technol Res Inst Co Ltd, Chengdu 610000, Sichuan, Peoples R China
[6] Huadian Xinxiang Power Generat Co Ltd, Xinxiang 453003, Henan, Peoples R China
关键词
Equipment health; self-powered sensors; sensing systems; transmission lines; RFID SENSOR; FAULT; TECHNOLOGY; ALGORITHM;
D O I
10.1109/JSEN.2023.3254584
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The increasingly complex transmission lines can no longer rely on a single manual inspection method to monitor the health of equipment. Considering the actual needs and conditions, online monitoring of transmission lines can make up for the shortcomings of traditional detection methods. In order to reduce the manual workload and improve the accuracy and efficiency of detection, this article introduces the application of self-powered sensors in the transmission line equipment health state depth sensing system. The research considers that the sensor is the important sensor module foundation of the online monitoring system. The characteristics of sensor cells used for solar energy conversion are analyzed. The self-powered sensor is introduced into the transmission line equipment health depth sensing system, and the transmission line network model and the data transmission compression algorithm are optimized. The experimental results show that photovoltaic cells can effectively provide stable and relatively sufficient power for sensors and prolong the service life of nodes. This improves the utilization of node resources, effectively reduces latency and energy consumption, and effectively extends the application life cycle of the sensor system.
引用
收藏
页码:20834 / 20844
页数:11
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