高压电器2024，Vol.60Issue(5)：194-205,213,13.DOI:10.13296/j.1001-1609.hva.2024.05.025
基于YOLOv6的输电线路电力部件识别及缺陷检测算法研究
Research on Power Component Identification of Transmission Line and Defect Detection Algorithm Based on YOLOv6
游越 1伊力哈木·亚尔买买提 1吐松江·卡日1
作者信息
- 1. 新疆大学电气工程学院,乌鲁木齐 830049
- 折叠
摘要
Abstract
In the patrol of transmission lines,key power components often have such defects as corrosion and shed-ding,resulting in false and missed detection as well as great increase of labor costs.In view of such problem,a kind of improved algorithm based on YOLOv6 is proposed in this paper.The RepFPN structure is mainly added in the neck part,and a bottom-up path aggregation network is added to enhance the expression ability of the output features and improve the performance of the model.However,it increases the computational cost.In order to reduce the amount of calculation,the RepVGG structure with a similar residual structure and rich gradient information is added.The exper-imental data show that when three RepVGG structures are used in replace of C3 layer,the accuracy of 1-2 points will be improved.At the same time,after the fusion of operator of ConvBNAct,only one Conv+inplace activation is need-ed to complete the original three times of Op calculations.In most cases,the identical numerical results can be ob-tained,which alleviates the problem of increasing the amount of calculation in the above improvements.The experi-ment shows that the improved model mAP_0.5:0.95 is increased by 12%,the accuracy is increased by 3.9%,and each loss value is significantly reduced and,at the same time,various defects of power components and foreign ob-jects on transmission lines are well detected.关键词
输电线路巡检/缺陷检测/YOLOv6/RepVGG/ConvBNActKey words
transmission line inspection/defect detection/YOLOv6/RepVGG/ConvBNAct引用本文复制引用
游越,伊力哈木·亚尔买买提,吐松江·卡日..基于YOLOv6的输电线路电力部件识别及缺陷检测算法研究[J].高压电器,2024,60(5):194-205,213,13.
