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光伏电站中的智能巡检技术分析

Analysis of Intelligent Inspection Technology in Photovoltaic Power Stations
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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)
机构地区 贵州大学电气工程学院 贵州电力职业技术学院 长春工程学院 沈阳工业大学新能源科学与工程学院
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
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TM615 [电气工程—电力系统及自动化]
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集成电路应用
2023年 第12期

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