首页|基于深度融合无人机AI巡检的光伏场站智慧运维管理系统研究

基于深度融合无人机AI巡检的光伏场站智慧运维管理系统研究

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随着光伏电站装机容量的规模化增长,光伏组件故障的快速、准确诊断对光伏电站的可靠运行尤为重要.通过引入基于深度融合无人机AI巡检的光伏场站智慧运维管理系统,聚焦无人机AI巡检核心算法的研究,从组件定位、故障识别、融合诊断3个方面有效提升光伏场站的智能化运维水平.
Research on Intelligent Operation and Maintenance Management System for Photovoltaic Stations Based on Deep Fusion Drone AI Inspection
With the increasing scale of installed capacity of photovoltaic power plants,rapid and accurate diagnosis of photovoltaic module faults is particularly important for the reliable operation of photovoltaic power plants.This paper introduces a photovoltaic station intelligent operation and maintenance management system based on deep fusion drone AI inspection,focusing on the research of the core algorithm of drone AI inspection.It effectively improves the intelligent operation and maintenance level of photovoltaic stations from three aspects:Component positioning,fault recognition,and fusion diagnosis.

intelligent operation and maintenancecomputer visionfusion diagnosis

何尧玺、曾戌运、李雪松、纪方旭、杨奕帆

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长电新能有限责任公司,湖北 武汉 430000

中国电力工程顾问集团西南电力设计院有限公司,四川 成都 610056

智慧运维 计算机视觉 融合诊断

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(19)