科技创新与应用2024，Vol.14Issue(18)：14-19,6.DOI:10.19981/j.CN23-1581/G3.2024.18.003
基于无人机巡检的光伏缺陷检测与定位
兰金江 1曾学仁 2方亮 2田楠 2王志强 2刘继江2
作者信息
- 1. 中国三峡新能源(集团)股份有限公司,北京 101119
- 2. 中国三峡新能源(集团)股份有限公司甘肃分公司,兰州 730070
- 折叠
摘要
Abstract
Photovoltaic power generation is a clean and renewable form of energy,however,photovoltaic modules in the actual operation process may have a variety of defects,such as cracks,leakage and other problems,these defects will affect the energy loss and safety of the photovoltaic system.With the wide application of solar photovoltaic power generation,the reliability and performance monitoring of photovoltaic modules become particularly important.In order to improve the detection efficiency and accuracy of photovoltaic module,this paper studies the defect detection and location technology of photovoltaic module in UAV patrol inspection,and puts forward a technology which combines deep learning segmentation technology with traditional image processing method.The defect of photovoltaic can be detected quickly and accurately,and the location of the defect can be determined.关键词
光伏发电/无人机巡检/红外图像/缺陷检测/分割/组件定位/高效检测Key words
photovoltaic power generation/UAV patrol inspection/infrared image/defect detection/segmentation/component positioning/efficient detection分类
信息技术与安全科学引用本文复制引用
兰金江,曾学仁,方亮,田楠,王志强,刘继江..基于无人机巡检的光伏缺陷检测与定位[J].科技创新与应用,2024,14(18):14-19,6.
