摘要
研究详细介绍了无人机设备在电力设备巡检工作中的应用方法,提出了无人机在电力设备巡检工作中的操作方案、自主避障方案和通信方案。并在此基础上将图像缺陷识别算法应用于后期的电力设备图像检测工作,进而建立起一套完整的电力设备缺陷智能识别系统。
The research introduced in detail the application method of UAV equipment in the inspection work of power equipment,and proposed the operation plan,autonomous obstacle avoidance scheme and communication scheme of the UAV in the inspection work of power equipment.And on this basis,the image defect recognition algorithm was applied to the later power equipment image detection work,and then a complete set of power equipment defect intelligent recognition system was established.
作者
毛先胤
马晓红
丰俊宽
Mao Xianyin;Ma Xiaohong;Feng Junkuan(Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China;Suzhou Ansoft Information Technology Co.,Ltd.,Taicang 215400,China)
出处
《能源与环保》
2021年第7期225-230,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
南方电网科技项目(0666002020030101GY00001)。
关键词
电力设备
图像技术
无人机
智能识别
power equipment
image technology
UAV
intelligent recognition
