南方电网技术2026，Vol.20Issue(4)：119-129,11.DOI:10.13648/j.cnki.issn1674-0629.2026.04.011
基于改进CenterNet的输电线路绝缘子缺陷检测方法
Detection Method for Insulator Defects of Transmission Lines Based on Improved CenterNet
摘要
Abstract
Defective insulator detection is one of the critical tasks in the operation and maintenance of smart grids.To address the challenges of multi-target and multi-scale detection in aerial insulator images,a defective insulator detection method is proposed based on an improved CenterNet architecture.The method adopts an anchor-free detector as the foundational framework and in-novatively integrates three key technologies.Firstly,an expanded feature enhancement module is designed,which effectively enlarges the feature receptive field through dilated convolutions,significantly improving the model's ability to capture multi-scale target features.Secondly,a convolutional block attention mechanism is embedded into the network to dynamically optimize the weight distribution of feature channels,enhancing both detection accuracy and computational efficiency.Finally,a multi-scale feature pyramid structure is employed to achieve the fusion and complementarity of multi-level features.Experimental validation demonstrates that this method excels in defective insulator detection under complex scenarios,achieving an average precision of 95.17%,with all metrics significantly outperforming existing mainstream algorithms,fully proving its advantages in practical ap-plications for power line inspection.关键词
绝缘子/缺陷检测/CenterNet/特征金字塔/扩展卷积/CBAMKey words
insulator/defect detection/CenterNet/feature pyramid/extended convolution/CBAM分类
信息技术与安全科学引用本文复制引用
任欢,苏涛,李朋,周凯..基于改进CenterNet的输电线路绝缘子缺陷检测方法[J].南方电网技术,2026,20(4):119-129,11.基金项目
国家自然科学基金资助项目(52107004). Supported by the National Natural Science Foundation of China(52107004). （52107004）
