输电线路绝缘子缺陷快速识别系统设计及其应用

Design and Application of Insulator Defect Fast Identification System for Transmission Line

因架空输电线路的绝缘子长期处于暴露环境,易产生缺陷,严重影响输电线路的安全运行。因此,设计输电线路绝缘子缺陷快速识别系统。基于无人机图像采集模块,搭建绝缘子缺陷的快速识别系统,通过图像管理模块筛选缺陷图像。采用YOLO算法定位绝缘子缺陷,利用OpenCV剪切分离关键部件区域。设计Mask RCNN缺陷检测通道,实现绝缘子缺陷的快速识别与决策。实验结果表明,设计系统可精准、快速识别绝缘子缺陷部位,有效提高了社会效益和经济效益。

Because the insulators of overhead transmission lines are exposed for a long time,they are prone to defects,which seriously af-fect the safe operation of transmission lines.Therefore,a fast identification system for insulator defects of transmission lines is de-signed.Based on the drone image acquisition module,a rapid identification system for insulator defects is built,and defect imag-es are filtered through the image management module.Using YOLO algorithm to locate insulator defects and using OpenCV to shear and separate key component areas.Mask RCNN defect detection channel is designed to achieve rapid identification and de-cision-making of insulator defects.The experimental results show that,the designed system can accurately and quickly identify the defective parts of insulators,effectively improve social and economic benefits.