The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 11, 2024
Filed:
Aug. 24, 2021
State Grid Chongqing Electric Power Co. Electric Power Research Institute, Chongqing, CN;
State Grid Corporation of China, Beijing, CN;
Yongfu Li, Chongqing, CN;
Xiping Jiang, Chongqing, CN;
Xingzhe Hou, Chongqing, CN;
Qian Wang, Chongqing, CN;
Yingkai Long, Chongqing, CN;
Qiang Yao, Chongqing, CN;
Siquan Li, Chongqing, CN;
Xiaoxiao Luo, Chongqing, CN;
Yuxiang Liao, Chongqing, CN;
Haibing Zhang, Chongqing, CN;
Jiankang Bao, Chongqing, CN;
Haitao Wu, Chongqing, CN;
State Grid Chongqing Electric Power Co. Electric Power Research Institute, Chongqing, CN;
State Grid Corporation of China, Beijing, CN;
Abstract
A multi-sensor data fusion-based self-powered online monitoring system for a transmission line includes a plurality of detection nodes, an optical communication receiving and demodulation module, and a data processing module. The detection nodes each include a vibration energy harvesting module, a sensing module, and an optical communication modulation and transmitting module. The detection node uses a triboelectric nanogenerator (TENG) to convert and harvest energy, uses the sensing module to acquire a plurality of types of sensing data, and uses the optical communication modulation and transmitting module to modulate and transmit the sensing data. The optical communication receiving and demodulation module correspondingly receives and demodulates the sensing data, and transmits the sensing data to the data processing module for processing. The processing includes using a weighted least square method to fuse homogeneous sensing data and using a fuzzy comprehensive evaluation method to analyze heterogeneous sensing data.