Multi‐Parameters Self‐Powered Monitoring via Triboelectric and Electromagnetic Mechanisms for Smart Transmission Lines

Author:

Zhang Xiaosong12,Wang Jianlong12,Zhai Shijie12,Yu Yang12,Cheng Xiaojun123,Li Hengyu123,Wang Zhong Lin134,Cheng Tinghai123ORCID

Affiliation:

1. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 P. R. China

2. School of Nanoscience and Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China

3. Guangzhou Institute of Blue Energy Guangzhou 510555 P. R. China

4. Georgia Institute of Technology Atlanta GA 30332‐0245 USA

Abstract

AbstractThe application of distributed sensors in smart transmission lines to replace traditional inspection methods is an inevitable trend. Currently, the challenge of energy supply for sensors serves as a bottleneck that hinders the intelligent development of transmission lines. This paper focuses on the application of self‐powered inspection technology based on triboelectric and electromagnetic mechanisms in transmission lines. It proposes a self‐powered temperature and vibration monitoring and warning system (STV‐MWS) for multi‐parameter monitoring of transmission line status. This work utilizes the quasi‐zero stiffness structure and center misalignment design to improve the output performance of STV‐MWS at low vibration amplitude, thereby extending its vibration amplitude response range. The STV‐MWS is capable of harvesting and monitoring vibration of 50 µm and above vibration amplitude and 2–700 Hz vibration frequencies, which fully covers the breeze vibration range of transmission lines. Through the split package design, the flexible deployment of STV‐MWS is achieved, further enhancing its engineering application value. This work can effectively ensure that the transmission line inspection can carry out accurate status monitoring and intelligent analysis in the environment characterized by steep terrain, challenging power extraction, and difficult fault judgment, thereby realizing the visualization and intelligence of the transmission line status.

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

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