基于PCSA-YOLOv7 Former的输电线路连接金具及其锈蚀检测方法  

Transmission Line Connection Fittings and Corrosion Detection Method Based on PCSA-YOLOv7 Former

作　　者：宋智伟 黄新波[1,2] 纪超 张凡 张烨 SONG Zhiwei;HUANG Xinbo;JI Chao;ZHANG Fan;ZHANG Ye(School of Electronics and Information,Xi'an Polytechnic University,Xi'an 710048,China;Department of Industry and Information Technology of Shaanxi Province,Xi'an 710006,China)

机构地区：[1]西安工程大学电子信息学院,陕西西安710048 [2]陕西省工业和信息化厅,陕西西安710006

出　　处：《中国电力》2024年第6期141-152,共12页Electric Power

基　　金：西安市科技计划项目(2022JH-RYFW-0031,22GXFW0041);陕西省科学技术协会青年人才托举计划项目(20220133);金属成形技术与重型装备全国重点实验室项目(S2208100.W03)。

摘　　要：输电线路分布情况复杂且故障难以有效检测,其中连接金具长期暴露于复杂环境下易受到恶劣环境的影响出现锈蚀等故障。针对输电线路连接金具部件具有尺度多样性和存在着锈蚀故障检测精度低的问题,提出了一种基于双重注意力嵌入重构和Swin Transformer的输电线路连接金具组件及其锈蚀故障检测方法:PCSA-YOLOv7 Former。实验结果表明:该方法在构建的TLCF数据集上的综合检测性能领先于12类当前先进的目标检测算法,其中在测试集上的mAP_(0.5)达到94.9%,该方法相比于基线模型YOLOv7,其F1和mAP0.5指标分别提升了2.6个百分点和2.2个百分点,说明该方法能够更全面地理解输电线路连接金具图像中的多尺度语义信息并学习到不易区分的微小细节表征。The transmission lines are complex in distribution and it is difficult to effectively detect their faults.Among them,the connecting fittings are susceptible to corrosion and other faults due to their long exposure to complex environments.Aiming at the problem that the transmission line connection fitting components are varied in scale and have poor accuracy in detecting their corrosion faults,a detection method is proposed for transmission line connection fittings and their corrosion faults based on dual attention embedding reconstruction and Swin Transformer,i.e.,PCSA-YOLOv7 Former.The experimental results show that the proposed method is superior to 12 existing state-of-the-art object detection algorithms in comprehensive detection performance of the constructed TLCF dataset,with the mAP0.5 of the test set reaching 94.9%.Compared with the baseline model YOLOv7,the proposed method improves the indexes F1 and mAP_(0.5) by 2.6 percentage points and 2.2 percentage points,respectively,indicating that the proposed method can more comprehensively understand the multi-scale semantic information in the images of transmission line connection fittings and learn their subtle details that are difficult to distinguish.

关 键 词：输电线路连接金具 PCSA-YOLOv7 Former 双重注意力嵌入 Swin Transformer 空洞空间金字塔池化 

分 类 号：TM75[电气工程—电力系统及自动化] TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]