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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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Energy Conversion and Management: X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174525000108 |
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| author | Miguel Tradacete-Ágreda Carlos Santos-Pérez Pablo José Hueros-Barrios Francisco Javier Rodríguez-Sánchez Rafael Pérez-Seguí Javier Melero-Deza Pascual Campoy |
| author_facet | Miguel Tradacete-Ágreda Carlos Santos-Pérez Pablo José Hueros-Barrios Francisco Javier Rodríguez-Sánchez Rafael Pérez-Seguí Javier Melero-Deza Pascual Campoy |
| author_sort | Miguel Tradacete-Ágreda |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-44bbd8831fda4ee0999971039531d873 |
| institution | Kabale University |
| issn | 2590-1745 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj-art-44bbd8831fda4ee0999971039531d8732025-01-28T04:14:52ZengElsevierEnergy Conversion and Management: X2590-17452025-04-0126100878Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaborationMiguel Tradacete-Ágreda0Carlos Santos-Pérez1Pablo José Hueros-Barrios2Francisco Javier Rodríguez-Sánchez3Rafael Pérez-Seguí4Javier Melero-Deza5Pascual Campoy6Department of Electronics, University of Alcalá, Alcalá de Henares, 28801, Madrid, Spain; Corresponding author.Department of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, 28801, Madrid, SpainDepartment of Electronics, University of Alcalá, Alcalá de Henares, 28801, Madrid, SpainDepartment of Electronics, University of Alcalá, Alcalá de Henares, 28801, Madrid, SpainComputer Vision and Aerial Robotics Group at Universidad Politécnica de Madrid (CVAR-UPM) and Centre for Automation and Robotics C.A.R. (UPM-CSIC), Madrid, Calle José Gutiérrez Abascal 2, 28006, Madrid, SpainComputer Vision and Aerial Robotics Group at Universidad Politécnica de Madrid (CVAR-UPM) and Centre for Automation and Robotics C.A.R. (UPM-CSIC), Madrid, Calle José Gutiérrez Abascal 2, 28006, Madrid, SpainComputer Vision and Aerial Robotics Group at Universidad Politécnica de Madrid (CVAR-UPM) and Centre for Automation and Robotics C.A.R. (UPM-CSIC), Madrid, Calle José Gutiérrez Abascal 2, 28006, Madrid, SpainThis 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.http://www.sciencedirect.com/science/article/pii/S2590174525000108PhotovoltaicAutonomousIoTUAVInspection |
| spellingShingle | Miguel Tradacete-Ágreda Carlos Santos-Pérez Pablo José Hueros-Barrios Francisco Javier Rodríguez-Sánchez Rafael Pérez-Seguí Javier Melero-Deza Pascual Campoy Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration Energy Conversion and Management: X Photovoltaic Autonomous IoT UAV Inspection |
| title | 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_short | 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 |
| topic | Photovoltaic Autonomous IoT UAV Inspection |
| url | http://www.sciencedirect.com/science/article/pii/S2590174525000108 |
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