自动化维护光伏电站

Bilal Muhammad, R. Prasad, Marco Nisi, A. Mennella, Graziano Gagliarde, E. Cianca, D. Marenchino, A. Angrisano, M. Bernardi, P. Addabbo, S. Ullo
{"title":"自动化维护光伏电站","authors":"Bilal Muhammad, R. Prasad, Marco Nisi, A. Mennella, Graziano Gagliarde, E. Cianca, D. Marenchino, A. Angrisano, M. Bernardi, P. Addabbo, S. Ullo","doi":"10.1109/GWS.2017.8300492","DOIUrl":null,"url":null,"abstract":"Photovoltaic (PV) plants experience aging over a time span that can lead to faults, consequently reducing the overall power production of PV plants. Thermo-diagnosis is one of the most effective methods for inspecting the photovoltaic plants for faults, such as hotspots. The inspection of individual PV panels for hotspots can be time consuming and expensive. Either the panels are located at a height on the rooftop of buildings or over a larger area, thus making the inspection process significantly complicated. This paper presents a solution to automate the process of PV plant maintenance by employing a Remotely Piloted Aircraft System (RPAS) equipped with a custom-designed payload that includes a thermal camera and a low-cost GNSS RTK receiver. The RPAS performs a flying mission over a PV plant to collect thermal images accurately geo-referenced by GNSS RTK receiver that allows to identify and locate the defective PV module without immediate human intervention. The paper presents end-to-end system design of the proposed solution and preliminary results of the proof-of-concept.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"26 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Automating the maintenance of photovoltaic power plants\",\"authors\":\"Bilal Muhammad, R. Prasad, Marco Nisi, A. Mennella, Graziano Gagliarde, E. Cianca, D. Marenchino, A. Angrisano, M. Bernardi, P. Addabbo, S. Ullo\",\"doi\":\"10.1109/GWS.2017.8300492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photovoltaic (PV) plants experience aging over a time span that can lead to faults, consequently reducing the overall power production of PV plants. Thermo-diagnosis is one of the most effective methods for inspecting the photovoltaic plants for faults, such as hotspots. The inspection of individual PV panels for hotspots can be time consuming and expensive. Either the panels are located at a height on the rooftop of buildings or over a larger area, thus making the inspection process significantly complicated. This paper presents a solution to automate the process of PV plant maintenance by employing a Remotely Piloted Aircraft System (RPAS) equipped with a custom-designed payload that includes a thermal camera and a low-cost GNSS RTK receiver. The RPAS performs a flying mission over a PV plant to collect thermal images accurately geo-referenced by GNSS RTK receiver that allows to identify and locate the defective PV module without immediate human intervention. The paper presents end-to-end system design of the proposed solution and preliminary results of the proof-of-concept.\",\"PeriodicalId\":380950,\"journal\":{\"name\":\"2017 Global Wireless Summit (GWS)\",\"volume\":\"26 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Global Wireless Summit (GWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GWS.2017.8300492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Global Wireless Summit (GWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GWS.2017.8300492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

光伏电站经历了一段时间的老化,可能导致故障,从而降低了光伏电站的整体发电量。热诊断是检测光伏电站热点等故障的最有效方法之一。检查单个光伏板的热点既耗时又昂贵。这些面板要么位于建筑物屋顶的高处,要么位于更大的区域,从而使检查过程变得非常复杂。本文提出了一种自动化光伏电站维护过程的解决方案,该解决方案采用远程驾驶飞机系统(RPAS),该系统配备了定制设计的有效载荷,包括热像仪和低成本GNSS RTK接收器。RPAS在光伏电站上空执行飞行任务,通过GNSS RTK接收器精确地收集地理参考的热图像,从而识别和定位有缺陷的光伏模块,而无需立即进行人为干预。本文给出了所提出的解决方案的端到端系统设计和概念验证的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating the maintenance of photovoltaic power plants
Photovoltaic (PV) plants experience aging over a time span that can lead to faults, consequently reducing the overall power production of PV plants. Thermo-diagnosis is one of the most effective methods for inspecting the photovoltaic plants for faults, such as hotspots. The inspection of individual PV panels for hotspots can be time consuming and expensive. Either the panels are located at a height on the rooftop of buildings or over a larger area, thus making the inspection process significantly complicated. This paper presents a solution to automate the process of PV plant maintenance by employing a Remotely Piloted Aircraft System (RPAS) equipped with a custom-designed payload that includes a thermal camera and a low-cost GNSS RTK receiver. The RPAS performs a flying mission over a PV plant to collect thermal images accurately geo-referenced by GNSS RTK receiver that allows to identify and locate the defective PV module without immediate human intervention. The paper presents end-to-end system design of the proposed solution and preliminary results of the proof-of-concept.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信