摘要
阐述光伏电站智能巡检系统的功能和特点,探讨人工智能技术在光伏电站智能巡检中的应用,以机器深度学习为核心,图像识别设备位置状态、温度、行为信息,利用无人机及智能摄像机采集设备信息进行图像识别,并将识别结果发送给管理系统,从而实现光伏电站智能巡检。
This paper describes the functions and characteristics of the intelligent inspection system for photovoltaic power plants,and explores the application of artificial intelligence technology in intelligent inspection of photovoltaic power plants.With machine deep learning as the core,image recognition of equipment position status,temperature,and behavior information is used.Drones and intelligent cameras are used to collect equipment information for image recognition,and the recognition results are sent to the management system,thereby achieving intelligent inspection of photovoltaic power plants.
作者
徐超
刘勇
汪德军
赵江
王维成
XU Chao;LIU Yong;WANG Dejun;ZHAO Jiang;WANG Weicheng(School of Electrical Engineering,Guizhou University,Guizhou 550025,China;Guizhou Electric Power Vocational and Technical College,Guizhou 551417,China;Changchun Institute of Engineering,Jilin 130103,China;School of New Energy Science and Engineering,Shenyang University of Technology,Liaoning 110870,China)
出处
《集成电路应用》
2023年第12期368-370,共3页
Application of IC
关键词
智能巡检
无人机
图像识别
光伏电站
intelligent inspection
drones
image recognition
photovoltaic power plants