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作 者:孙超 郭宇鹏 郑岩 SUN Chao;GUO Yupeng;ZHENG Yan(Clean Energy Branch of CNOOC Energy Development Co.,Ltd.,Tianjin 300452)
机构地区:[1]中海油能源发展股份有限公司清洁能源分公司,天津300452
出 处:《软件》2024年第12期113-115,共3页Software
摘 要:本文详细介绍了光伏场站无人机巡检故障自动识别系统的功能,通过专业的研究与分析,精准开展无人机巡检故障自动识别系统架构综合设计,设计内容包含搭建技术架构、创建应用架构、明确数据架构、规划无人机巡检航线及设置故障识别系统等。通过对不同位置故障的精准识别,本文系统能够有效提升无人机巡检的准确性,满足光伏场站无人机巡检操作要求。This article provides a detailed introduction to the functions of the unmanned aerial vehicle inspection fault automatic recognition project system for photovoltaic stations.Through professional research and analysis,the comprehensive design of the unmanned aerial vehicle inspection fault automatic recognition project system architecture is accurately carried out,including building technical architecture,creating application architecture,clarifying data architecture,planning unmanned aerial vehicle inspection routes,and setting up fault recognition systems.By accurately identifying faults at different locations,this system can effectively improve the accuracy of drone inspections and meet the operational requirements of drone inspections in photovoltaic stations.
分 类 号:TM75[电气工程—电力系统及自动化]
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