Double Channel YOLO Recognition Algorithm for Small Targets With Surface External Damage Defects in Distribution Lines
The external damage defects of distribution lines may lead to electrical accidents,arc faults,and equipment damage,but the identification of external damage defects is easily affected by fluctuation factors,resulting in poor identification results.For this purpose,this article proposes a dual channel YOLO recognition algorithm based on small targets of surface external damage defects in distribution lines.Based on transmission line theory,represent the distribution parameters of the line network and reconstruct a three-dimensional point cloud;Combining the dual channel YOLO algorithm to compress feature information and calculate fluctuation factors;Obtain characteristic points of line parameter distribution through cluster clustering analysis,and obtain defect discrimination function in temporary coordinate system;Using the pixel aggregation area of feature matching points that meet the discrimination function as the defect area to achieve defect detection.The experimental results show that after the application of the proposed method,the recognition recall rate is significantly higher,and the accuracy of identifying external damage defects on the line surface is higher.
distribution linesexternal rupture defectsmall target dual channel YOLOidentification accuracy
万方数据
维普
