摘要
人工巡检输电线路具有效率低、危险性高等问题,文中基于无人机和图像缺陷识别算法,设计并开发了一套输电线路巡检系统。该系统利用无人机巡检输电线路,在自主避障的同时,将高清图像传输回地面站;地面站通过图像缺陷识别算法,经过图像预处理、特征分析、识别等操作,智能识别输电线路的散股、绝缘子自爆等缺陷。经过长期反复测试,该系统运行稳定、操作简单、检测效果良好,能够有效提高输电线路巡检的效率,并降低巡检难度及危险性,具有一定的实用价值。
The manual inspection of transmission lines has the problems of low efficiency and high risk.Herein,a transmission line inspection system is designed and developed based on the UAV and image defect recognition algorithm.The system uses the UAV which has the ability to autonomously avoid the obstacle to inspect the transmission line,and transmits the high-definition image back to the ground station.The ground station uses the image defect recognition algorithm to intelligently identify the transmission line through image preprocessing,features analysis and recognizing defects such as selfdestructive insulators and scattered stocks.After long-term repeated testing,the system is found out to operate stable with advantages of simple handling and accurate detection,which can effectively improve the efficiency of transmission line inspection,reduce the difficulty and the danger,and have certain practical value in the areas of transmission line inspection.
作者
鲁轩
郗来迎
赵赫男
陈凯
郭建祎
LU Xuan;XI Lai-ying;ZHAO He-nan;CHEN Kai;GUO Jian-hui(Overhaul Company,State Grid Tianjin Electric Power Company,Tianjin 300300,China)
出处
《电子设计工程》
2019年第12期147-151,157,共6页
Electronic Design Engineering
关键词
无人机
图像缺陷识别算法
输电线路巡检
自主避障
UAV
image defect recognition algorithm
transmission line inspection
autonomous obstacle avoidance
