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
相关论文
共 50 条
  • [1] Substation Equipment Temperature Monitoring System Design Based on Self-powered Wireless Temperature Sensors
    Lu, Huihui
    Yuan, Yuxiang
    2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2014, : 209 - 214
  • [2] Self-powered sensing for mechanical system condition monitoring
    Gao, RX
    Kazmer, DO
    Zhang, L
    Theurer, C
    Cui, Y
    SMART STRUCTURES AND MATERIALS 2004: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS, 2004, 5391 : 321 - 330
  • [3] Autonomous Self-Powered Structural Health Monitoring System
    Qing, Xinlin P.
    Anton, Steven R.
    Zhang, David
    Kumar, Amrita
    Inman, Daniel J.
    Ooi, Teng K.
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2010, PTS 1 AND 2, 2010, 7650
  • [4] A Fully Self-Powered Wearable Leg Movement Sensing System for Human Health Monitoring
    Yuan, Jinfeng
    Zhang, Yuzhong
    Wei, Caise
    Zhu, Rong
    ADVANCED SCIENCE, 2023, 10 (29)
  • [5] A SELF-POWERED WIRELESS HEALTH AND ENVIRONMENT MONITORING SYSTEM
    Singh, Ajay
    Yu, Jaewook
    Koomson, Vincent
    Nejat, Goldie
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2008, VOL 2, 2009, : 511 - 519
  • [6] PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring
    Luo, Fangyuan
    Chen, Bin
    Ran, Xu
    Ouyang, Wei
    Shang, Liang
    CHEMICAL ENGINEERING JOURNAL, 2023, 451
  • [7] Wireless Self-powered Condition Monitoring System for Coal Machine Equipment
    Gao Y.
    Mu J.
    He J.
    Chen H.
    Mu J.
    An Z.
    Zhao X.
    Chou X.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2020, 56 (13): : 41 - 49
  • [8] Self-Powered Hybrid Motion and Health Sensing System Based on Triboelectric Nanogenerators
    Zhang, Maoqin
    Yan, Wei
    Ma, Weiting
    Deng, Yuheng
    Song, Weixing
    SMALL, 2024,
  • [9] Self-Powered Sensors for Monitoring of Highway Bridges
    Sazonov, Edward
    Li, Haodong
    Curry, Darrell
    Pillay, Pragasen
    IEEE SENSORS JOURNAL, 2009, 9 (11) : 1422 - 1429
  • [10] Stretchable Piezoelectric Sensing Systems for Self-Powered and Wireless Health Monitoring
    Sun, Rujie
    Carreira, Sara Correia
    Chen, Yan
    Xiang, Chaoqun
    Xu, Lulu
    Zhang, Bing
    Chen, Mudan
    Farrow, Ian
    Scarpa, Fabrizio
    Rossiter, Jonathan
    ADVANCED MATERIALS TECHNOLOGIES, 2019, 4 (05)