现代信息科技2024，Vol.8Issue(7)：123-127,5.DOI:10.19850/j.cnki.2096-4706.2024.07.026
基于改进Otsu_Canny算法的光伏组件故障定位研究
Research on the Fault Location of PV Modules Based on an Improved Otsu_Canny Algorithm
陈群杰 1牟传强 1洪卉 1周屿函 1韩志坤 1赵金时1
作者信息
- 1. 国网杭州市钱塘区供电公司,浙江 杭州 311225
- 折叠
摘要
Abstract
In order to improve the efficiency of online fault diagnosis in photovoltaic systems,a fault location method for Otsu-Cannoy photovoltaic modules based on an improved genetic algorithm is proposed.Based on this method,it is possible to extract fault components from infrared images of large-area photovoltaic panels.Combining this method with image recognition-based fault diagnosis methods can greatly improve the efficiency of photovoltaic module fault diagnosis.Firstly,the improved genetic algorithm Otsu algorithm is used to segment the fault area of photovoltaic modules,and then the Canny operator is used to achieve fault edge detection,ultimately completing fault localization.The experimental results show that compared with traditional algorithms,the proposed algorithm has fast fault location,high accuracy,and good practicality and application value.关键词
光伏组件/红外图像/故障定位/图片分割Key words
PV module/infrared image/fault location/image segmentation分类
信息技术与安全科学引用本文复制引用
陈群杰,牟传强,洪卉,周屿函,韩志坤,赵金时..基于改进Otsu_Canny算法的光伏组件故障定位研究[J].现代信息科技,2024,8(7):123-127,5.
