输电线路隐蔽部位导地线损伤检测算法

Algorithm for Detecting Conductor and Ground Wire Damage in Concealed parts of Power Transmission Lines

摘要:

针对输电线路隐蔽部位导地线损伤检测中缺陷目标边缘模糊、纹理不清晰、复杂背景干扰以及缺陷目标尺度不一造成的漏检和误检问题，对输电线路隐蔽部位导地线损伤检测进行研究，提出一种基于RT-DETR-Resnet18的CMAF_DETR检测算法：设计多尺度边缘信息选择模块，在促进多尺度特征提取的同时降低算法参数量与计算量；将高低频分离特征注意力融入尺度内特征交互机制，优化特征交互过程；构建多尺度特征聚焦与双向融合金字塔网络，提升算法的多尺度特征融合能力。经实验测试验证，与基准算法相比，所提CMAF_DETR算法的参数量降低15.7%，平均精度提高2.8%。经实际应用验证，该算法能够为输电线路巡检提供高效且稳定的多尺度检测方案。

Abstract:

To address the issues of missed and false detections caused by blurred defect edges, unclear textures, complex background interference, and varying target scales in the damage detection of conductors and ground wires in concealed parts of transmission lines, this study conducts research on such damage detection and proposes a CMAF_DETR detection algorithm based on RT-DETR-Resnet18. Specifically, a Multi-scale Edge Information Selection module is designed to promote multi-scale feature extraction while reducing the parameter count and computational complexity of the algorithm. Moreover, a High-low Frequency Separation Feature Attention is integrated into the intra-scale feature interaction mechanism to optimize the feature interaction process. Furthermore, a Multi-scale Feature Focusing and Bi-directional Fusion Pyramid Network is constructed to enhance the multi-scale feature fusion capability of the algorithm. Experimental results verify that, compared with the baseline algorithm, the proposed CMAF_DETR algorithm reduces the number of parameters by 15.7% and improves the average precision by 2.8%. Practical application verification indicates that this algorithm provides an efficient and stable multi-scale detection solution for transmission line inspection.