摘要
科技的发展使得电力系统更加智能化和自动化,采用无人机巡检是提升户外敞开式变电站巡检效率的有效途径。要实现无人机巡检的广泛应用,还需要解决一些技术和管理问题。根据广州供电局变电管理三所18座户外敞开式设备变电站的无人机巡检工作部署实施情况,总结了无人机巡视设备的特点,同时对应用中存在的问题提出了解决方案,开展了基于深度学习算法的电力设备的图像识别及其相关应用研究。
The development of science and technology makes the power system more intelligent and automatic.The application of drone-assisted inspection is an effective way to improve the efficiency of open-style substation inspection.In order to realize the extensive application of drone-assisted inspection,some technical and management problems still need to be solved.Based on the deployment and implementation related to drone-assisted inspection in 18 open-style substation of Guangzhou power supply bureau,this paper summarizes the characteristics of drone-based patrol equipment,and proposes solutions for applicative problems.Study on image recognition and its related application based on deep learning algorithm are performed.
作者
宁庆
竺德
付启明
张译
陈翔
NING Qing;ZHU De;FU Qiming;ZHANG Yi;CHEN Xiang(Third Substation Management Institute of Guangzhou Power Supply Bureau,Guangzhou 510000,China;Anhui University,Hefei 230601,China)
出处
《电工技术》
2024年第15期119-123,共5页
Electric Engineering
关键词
无人机
巡检系统
变电站巡视
人工智能
图像识别
drone
inspection system
substation inspection
artificial intelligence
image recognition
