Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration

This article details an autonomous monitoring and inspection system for photovoltaic (PV) installations, leveraging Unmanned Aerial Vehicles (UAV) collaboration and Internet of Things (IoT) technology. The system is part of a project aimed at optimizing the real-time control and operation of solar P...

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Autores: Tradacete Ágreda, Miguel|||0000-0002-9255-8532, Santos Pérez, Carlos, Hueros Barrios, Pablo José|||0000-0003-1861-7642, Rodríguez Sánchez, Francisco Javier|||0000-0001-8508-1898, Pérez Seguí, Rafael, Melero Deza, Javier, Campoy, Pascual
Tipo de documento: artigo
Data de publicação:2025
País:España
Recursos:Universidad de Alcalá (UAH)
Repositório:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglês
OAI Identifier:oai:ebuah.uah.es:10017/66769
Acesso em linha:http://hdl.handle.net/10017/66769
https://dx.doi.org/10.1016/j.ecmx.2025.100878
Access Level:Acceso aberto
Palavra-chave:Photovoltaic
Autonomous
IoT
UAV
Inspection
Electrónica
Electronics
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spelling Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaborationTradacete Ágreda, Miguel|||0000-0002-9255-8532Santos Pérez, CarlosHueros Barrios, Pablo José|||0000-0003-1861-7642Rodríguez Sánchez, Francisco Javier|||0000-0001-8508-1898Pérez Seguí, RafaelMelero Deza, JavierCampoy, PascualPhotovoltaicAutonomousIoTUAVInspectionElectrónicaElectronicsThis article details an autonomous monitoring and inspection system for photovoltaic (PV) installations, leveraging Unmanned Aerial Vehicles (UAV) collaboration and Internet of Things (IoT) technology. The system is part of a project aimed at optimizing the real-time control and operation of solar PV systems. This autonomous inspection system consists of two layers: (i) anomaly detection by on-board electronics of PV panels (referred as IoT Modules) and (ii) infrared (IR) and visual red, green, and blue (RGB) inspection by UAVs. The IoT Modules run a fault detection algorithm to identify anomalous events. Upon detection, they alert a UAV fleet equipped with RGB and IR cameras to conduct visual and thermal inspections of the affected PV panels. The inspection data is then relayed back to the IoT Modules, triggering appropriate actions. This framework enhances detection algorithms by providing rapid identification of severe issues. UAVs can quickly pinpoint hot-spots through thermographic imaging, enabling prompt intervention. Additionally, UAVs help resolve ambiguities in the detection on certain faults. Moreover, in order to make this autonomous inspection possible, a multiprotocol architecture is developed to ensure effective communication and coordination between IoT Modules and UAVs, facilitating seamless data exchange and system integration.Comunidad de MadridJunta de Comunidades de Castilla-La ManchaAgencia Estatal de InvestigaciónElsevier20252025-04-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/66769https://dx.doi.org/10.1016/j.ecmx.2025.100878reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengComunidad de Madrid http://dx.doi.org/10.13039/100012818 Not available Y2020%2FEMT-6368Junta de Comunidades de Castilla-La Mancha http://dx.doi.org/10.13039/501100011698 Not available SBPLY%2F21%2F180501%2F000223Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-139575OB-I00 OPTIMIZACION DE LA GENERACION DISTRIBUIDA EN MICRORREDES ELECTRICAS MEDIANTE EL USO DE EDGE COMPUTINGopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/667692026-06-18T11:13:07Z
dc.title.none.fl_str_mv Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
title Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
spellingShingle Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
Tradacete Ágreda, Miguel|||0000-0002-9255-8532
Photovoltaic
Autonomous
IoT
UAV
Inspection
Electrónica
Electronics
title_short Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
title_full Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
title_fullStr Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
title_full_unstemmed Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
title_sort Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
dc.creator.none.fl_str_mv Tradacete Ágreda, Miguel|||0000-0002-9255-8532
Santos Pérez, Carlos
Hueros Barrios, Pablo José|||0000-0003-1861-7642
Rodríguez Sánchez, Francisco Javier|||0000-0001-8508-1898
Pérez Seguí, Rafael
Melero Deza, Javier
Campoy, Pascual
author Tradacete Ágreda, Miguel|||0000-0002-9255-8532
author_facet Tradacete Ágreda, Miguel|||0000-0002-9255-8532
Santos Pérez, Carlos
Hueros Barrios, Pablo José|||0000-0003-1861-7642
Rodríguez Sánchez, Francisco Javier|||0000-0001-8508-1898
Pérez Seguí, Rafael
Melero Deza, Javier
Campoy, Pascual
author_role author
author2 Santos Pérez, Carlos
Hueros Barrios, Pablo José|||0000-0003-1861-7642
Rodríguez Sánchez, Francisco Javier|||0000-0001-8508-1898
Pérez Seguí, Rafael
Melero Deza, Javier
Campoy, Pascual
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Photovoltaic
Autonomous
IoT
UAV
Inspection
Electrónica
Electronics
topic Photovoltaic
Autonomous
IoT
UAV
Inspection
Electrónica
Electronics
description This article details an autonomous monitoring and inspection system for photovoltaic (PV) installations, leveraging Unmanned Aerial Vehicles (UAV) collaboration and Internet of Things (IoT) technology. The system is part of a project aimed at optimizing the real-time control and operation of solar PV systems. This autonomous inspection system consists of two layers: (i) anomaly detection by on-board electronics of PV panels (referred as IoT Modules) and (ii) infrared (IR) and visual red, green, and blue (RGB) inspection by UAVs. The IoT Modules run a fault detection algorithm to identify anomalous events. Upon detection, they alert a UAV fleet equipped with RGB and IR cameras to conduct visual and thermal inspections of the affected PV panels. The inspection data is then relayed back to the IoT Modules, triggering appropriate actions. This framework enhances detection algorithms by providing rapid identification of severe issues. UAVs can quickly pinpoint hot-spots through thermographic imaging, enabling prompt intervention. Additionally, UAVs help resolve ambiguities in the detection on certain faults. Moreover, in order to make this autonomous inspection possible, a multiprotocol architecture is developed to ensure effective communication and coordination between IoT Modules and UAVs, facilitating seamless data exchange and system integration.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-04-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/66769
https://dx.doi.org/10.1016/j.ecmx.2025.100878
url http://hdl.handle.net/10017/66769
https://dx.doi.org/10.1016/j.ecmx.2025.100878
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Comunidad de Madrid http://dx.doi.org/10.13039/100012818 Not available Y2020%2FEMT-6368
Junta de Comunidades de Castilla-La Mancha http://dx.doi.org/10.13039/501100011698 Not available SBPLY%2F21%2F180501%2F000223
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-139575OB-I00 OPTIMIZACION DE LA GENERACION DISTRIBUIDA EN MICRORREDES ELECTRICAS MEDIANTE EL USO DE EDGE COMPUTING
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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