Evaluation of Faults in a Photovoltaic Power Plant using Orthomosaics based on Aerial Infrared Thermography

A. K. V. de Oliveira, M. K. Bracht, A. P. Melo, R. Lamberts, R. Rüther
{"title":"Evaluation of Faults in a Photovoltaic Power Plant using Orthomosaics based on Aerial Infrared Thermography","authors":"A. K. V. de Oliveira, M. K. Bracht, A. P. Melo, R. Lamberts, R. Rüther","doi":"10.1109/PVSC43889.2021.9518541","DOIUrl":null,"url":null,"abstract":"This paper aims to analyze different methods and software for the orthomosaic reconstruction of aerial infrared thermography (aIRT) images of a 3 MW PV plant in Brazil. Results showed that the method could improve the process of inspections of PV plants through aerial imagery, facilitating the localization of faults. Some challenges observed include the long duration of the flights caused by the high overlapping of images required, and the distortions presented in the resulting orthomosaics. The combination of the method with artificial intelligence algorithms that detect faults in aIRT images is a fast and effective tool to inspect PV power plants.","PeriodicalId":6788,"journal":{"name":"2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)","volume":"50 1","pages":"2604-2610"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVSC43889.2021.9518541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper aims to analyze different methods and software for the orthomosaic reconstruction of aerial infrared thermography (aIRT) images of a 3 MW PV plant in Brazil. Results showed that the method could improve the process of inspections of PV plants through aerial imagery, facilitating the localization of faults. Some challenges observed include the long duration of the flights caused by the high overlapping of images required, and the distortions presented in the resulting orthomosaics. The combination of the method with artificial intelligence algorithms that detect faults in aIRT images is a fast and effective tool to inspect PV power plants.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于航空红外热像仪的正射影技术在光伏电站故障评估中的应用
本文旨在分析巴西3mw光伏电站航空红外热像成像(aIRT)图像正射影重建的不同方法和软件。结果表明,该方法可以改进光伏电站航拍检测流程,便于故障定位。观察到的一些挑战包括由于所需图像的高度重叠造成的飞行时间长,以及由此产生的正立体图中的扭曲。将该方法与人工智能算法相结合,在aIRT图像中检测故障,是一种快速有效的光伏电站检测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Recent HVPE grown solar cells at NREL Material Requirements for CdSe Wide Bandgap Solar Cells Operating Temperature of Building Applied Photovoltaic Modules in Microclimate Degradation of Surface Recombination Velocity at a-Si/c-Si interface under light and temperature A simple, semi-empirical performance modeling approach for partially transparent tracking-integrated concentrator photovoltaics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1