电力工程技术2025，Vol.44Issue(3)：201-210,10.DOI:10.12158/j.2096-3203.2025.03.019
基于改进YOLOv8算法的10kV配电线路导线裸露检测
Exposed conductor detection of 10 kV distribution line based on improved YOLOv8
摘要
Abstract
Exposed conductors in 10 kV distribution line are one of the major causes with operational faults in distribution lines,continuously affecting the safe and stable operation of the distribution network.Traditional manual inspection methods often fail to detect such defects in a timely manner.A detection method for exposed conductors in 10 kV distribution lines is proposd based on an improved YOLOv8 algorithm,which is designed to assist power grid maintenance personnel detecting conductor exposed defects quickly and efficiently.The algorithm replaces the original convolution with omni-dimensional dynamic convolution in the backbone network,enhancing the features of exposed conductors through multi-dimensional feature extraction.In the neck network,the connection between high-level and low-level features is enhanced by combining attention embedding module with the cross stage feature fusion module of the original network,thereby analyzing both the overall shape and local details of exposed conductors.For the loss function,distance intersection over union with normalized wasserstein distance is combined to increase focus on cases where targets are small or background interference exists in drone inspection photographs.The experimental results demonstrate that the improved algorithm achieves increases of 4.8 percentage points,4.2 percentage points,and 5.2 percentage points in precision,recall,and mean average precision,respectively,compared to the original algorithm.This effectively enhances the detection capability for exposed distribution conductors,providing a new technical approach for ensuring the safe and stable operation of power systems.关键词
10kV配电线路/导线裸露/YOLOv8/多维度特征提取/图像特征信息处理/目标检测优化Key words
10 kV distribution line/conductor exposed/YOLOv8/multi-dimensional feature extraction/image feature infor-mation processing/optimization of object detection分类
信息技术与安全科学引用本文复制引用
荆启文,郝思鹏,李思源..基于改进YOLOv8算法的10kV配电线路导线裸露检测[J].电力工程技术,2025,44(3):201-210,10.基金项目
江苏省科技成果转化专项资金项目(BA2022105) （BA2022105）
