Substation Power Equipment Status Monitoring System Based on Thermal Imaging Fusion
The use of temperature change monitoring can detect abnormal situations of power equipment in advance,so as to take timely maintenance and protection measures,improve monitoring effectiveness,and achieve unmanned operation.Therefore,a sub-station power equipment status monitoring system based on thermal imaging fusion is proposed.The system is built using the edge pro-cessing end cloud computing platform management method and is coordinated and operated through multiple modules to achieve online monitoring.By fusing multi-scale features and spatial attention,thermal imaging images are processed to extract the operational char-acteristics of power equipment,and entropy estimation is used to evaluate the fault level,achieving status monitoring of substation power equipment.The experimental results show that the system can effectively achieve thermal imaging monitoring of power equip-ment.The thermal imaging fusion processing rate is relatively high,with an average of 110.4 bits/s,and the monitoring time is on average 27 ms.The missed detection rate,false alarm rate,and accuracy rate are 0.4 ‰,0.78 ‰,and 97.4％,respectively.
substationelectric power equipmenton-line monitoring terminalvisual displaymulti scale featuresspatial at-tention
万方数据
维普
