自动化应用2024,Vol.65Issue(19) :47-50.DOI:10.19769/j.zdhy.2024.19.012

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

Research on Intelligent Operation and Maintenance Management System for Photovoltaic Stations Based on Deep Fusion Drone AI Inspection

何尧玺 曾戌运 李雪松 纪方旭 杨奕帆
自动化应用2024,Vol.65Issue(19) :47-50.DOI:10.19769/j.zdhy.2024.19.012

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

Research on Intelligent Operation and Maintenance Management System for Photovoltaic Stations Based on Deep Fusion Drone AI Inspection

何尧玺 1曾戌运 1李雪松 2纪方旭 1杨奕帆1
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作者信息

  • 1. 长电新能有限责任公司,湖北 武汉 430000
  • 2. 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
  • 折叠

摘要

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.

Abstract

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.

关键词

智慧运维/计算机视觉/融合诊断

Key words

intelligent operation and maintenance/computer vision/fusion diagnosis

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出版年

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
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