高电压技术2023，Vol.49Issue(12)：5084-5094,11.DOI:10.13336/j.1003-6520.hve.20221693
基于Flexible YOLOv7的输电线路绝缘子缺陷检测和故障预警方法
Insulator Defect Detection and Fault Warning Method for Transmission Line Based on Flexible YOLOv7
摘要
Abstract
The stable operation of power equipment is an important prerequisite for ensuring production and life.The defect size of insulator on transmission line is small.The traditional target detection algorithm is usually difficult to iden-tify the defect target,and the false detection and missed detection rate are high.Therefore,an insulator defect detection algorithm based on Flexible YOLOv7 is proposed to solve the problems of small target,occlusion and complex back-ground in defect detection of insulators with different materials.The algorithm inherits the E-ELAN structure,Rep re-parameterization and auxiliary training strategy of YOLOv7 network,and integrates the GAM attention mechanism in the process of feature extraction to enlarge the significant cross-dimensional acceptance region.The efficient Ghost SPPCSPC structure reduces the parameter redundancy in the model training process,and introduces Efficient IOU Loss to focus on the high-quality anchor box to improve the detection accuracy of the model.Finally,the insulator defects are graded and finely calculated by image post-processing technology,and an insulator defect fault detection system is de-veloped for early warning of faults in combination with algorithm deployment.The experimental results show that the AP,Recall and F1 indexes of the proposed algorithm in the two types of defects of dense target,occlusion and small target de-tection are all ahead of the current advanced target detection algorithms.The method has certain practical significance in insulator defect detection and fault warning in complex environments.关键词
绝缘子缺陷检测/Flexible YOLOv7/GAM注意力机制/Efficient IOU Loss/图像后处理技术/输电线路故障预警Key words
insulator defect detection/Flexible YOLOv7/GAM attention mechanism/Efficient IOU Loss/image post-processing technology/transmission line fault warning引用本文复制引用
宋智伟,黄新波,纪超,张烨..基于Flexible YOLOv7的输电线路绝缘子缺陷检测和故障预警方法[J].高电压技术,2023,49(12):5084-5094,11.基金项目
陕西省重点研发项目(2021GY-306) （2021GY-306）
陕西省自然科学基础研究计划(2022JQ-568) （2022JQ-568）
陕西省科学技术协会青年人才托举计划项目(20220133) （20220133）
西安市科技计划项目(22GXFW0041).Project supported by Key Research and Development Projects in Shaanxi Province(2021GY-306),Natural Science Basis Research Plan in Shaanxi Province of China(2022JQ-568),Young Talent Fund of Association for Science and Technology in Shaanxi Province(20220133),Xi'an Science and Technology Plan Pro-ject(22GXFW0041). （22GXFW0041）
