电力信息与通信技术2026，Vol.24Issue(8)：1-14,14.DOI:10.16543/j.2095-641x.electric.power.ict.2026.08.01
FRD-Net:输电线路金具锈蚀检测算法
FRD-Net:Transmission Line Fittings Corrosion Detection Algorithm
摘要
Abstract
In response to the detection challenges posed by the subtle differences between rusty fittings and normal fittings on power transmission lines,the complex and diverse forms of corrosion,and the serious loss of detail information during feature extraction due to depth of field effects in images captured by drones,a corrosion detection algorithm for transmission line fittings has been proposed.First,a multi-level complementary down-sampling method was designed and integrated into the backbone network to compensate for the significant loss of detailed feature information during the down-sampling of depth of field images;then,to further enhance the detection capability for different forms of corroded fittings,a unique feature topology reconstruction feature fusion method was adopted.Next,a prior knowledge-guided feature differential weighting module was introduced to characterize the fitting feature information,accurately capturing and differentiating the difficult-to-visualize detail differences between corroded and normal fittings.This method achieves comprehensive perception and precise detection of fitting corrosion forms by integrating feature information of different scales.Finally,a detail perception loss function was proposed,which uses spatial weights generated by MFCD to guide the model training process to focus on strongly discriminative local features.Extensive experiments on a drone-captured power transmission line dataset showed that FRD-Net achieved an mAP50 of 73.7％,with a parameter count of only 1.92M and a computational load of 5.2 GFLOPs,significantly outperforming mainstream detection models,and demonstrating strong generalization capabilities on cross-domain corrosion data,providing a high accuracy and high efficiency solution for power transmission line inspection.关键词
输电线路/金具锈蚀检测/景深效应/细节感知/差分加权Key words
transmission lines/fittings corrosion detection/depth of field effect/detail perception/differential weighting分类
信息技术与安全科学引用本文复制引用
赵振兵,景群,王津闻,马腾,高凯鹏,李浩鹏..FRD-Net:输电线路金具锈蚀检测算法[J].电力信息与通信技术,2026,24(8):1-14,14.基金项目
国家自然科学基金项目(62571189,62373151,62371188,62303184) （62571189,62373151,62371188,62303184）
中央高校基本科研业务费专项资金资助(2023JC006). （2023JC006）
