{"title":"基于无人机红外与可见光检测的光伏电站在线热点检测运维系统研究与应用","authors":"Guanglei Li, Yuejiao Wang, Zheng Xu, Wei-Hua Teng, Xingyou Zhang","doi":"10.1109/ICPSAsia52756.2021.9621375","DOIUrl":null,"url":null,"abstract":"The traditional operation and maintenance method of hot spot detection has some problems, such as low efficiency of inspection, difficult to identify the cause of hot spot under the influence of multiple factors. In this paper, based on the Unmanned Aerial Vehicle(UAV) inspection technology, combined with the slope constraint based infrared image and visible image registration method of hot spot location and based on the improved fish swarm gray combination prediction method, the hot spot information discrimination process was designed. On this basis, an on-line hot spot detection operation and maintenance system of photovoltaic power station(PVPS) based on UAV infrared and visible light detection was constructed, and the accuracy of hot spot detection results of the system was verified by experiments. The system has high accuracy of hot spot location, can actively screen out the external influencing factors of photovoltaic module hot spot, and realize automatic alarm and location investigation of complex hot spot.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Research and Application of Photovoltaic Power Station On-line Hot Spot Detection Operation and Maintenance System Based on Unmanned Aerial Vehicle Infrared and Visible Light Detection\",\"authors\":\"Guanglei Li, Yuejiao Wang, Zheng Xu, Wei-Hua Teng, Xingyou Zhang\",\"doi\":\"10.1109/ICPSAsia52756.2021.9621375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional operation and maintenance method of hot spot detection has some problems, such as low efficiency of inspection, difficult to identify the cause of hot spot under the influence of multiple factors. In this paper, based on the Unmanned Aerial Vehicle(UAV) inspection technology, combined with the slope constraint based infrared image and visible image registration method of hot spot location and based on the improved fish swarm gray combination prediction method, the hot spot information discrimination process was designed. On this basis, an on-line hot spot detection operation and maintenance system of photovoltaic power station(PVPS) based on UAV infrared and visible light detection was constructed, and the accuracy of hot spot detection results of the system was verified by experiments. The system has high accuracy of hot spot location, can actively screen out the external influencing factors of photovoltaic module hot spot, and realize automatic alarm and location investigation of complex hot spot.\",\"PeriodicalId\":296085,\"journal\":{\"name\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPSAsia52756.2021.9621375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Application of Photovoltaic Power Station On-line Hot Spot Detection Operation and Maintenance System Based on Unmanned Aerial Vehicle Infrared and Visible Light Detection
The traditional operation and maintenance method of hot spot detection has some problems, such as low efficiency of inspection, difficult to identify the cause of hot spot under the influence of multiple factors. In this paper, based on the Unmanned Aerial Vehicle(UAV) inspection technology, combined with the slope constraint based infrared image and visible image registration method of hot spot location and based on the improved fish swarm gray combination prediction method, the hot spot information discrimination process was designed. On this basis, an on-line hot spot detection operation and maintenance system of photovoltaic power station(PVPS) based on UAV infrared and visible light detection was constructed, and the accuracy of hot spot detection results of the system was verified by experiments. The system has high accuracy of hot spot location, can actively screen out the external influencing factors of photovoltaic module hot spot, and realize automatic alarm and location investigation of complex hot spot.