Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/3E985316-F5B8-4904-B2BA-4E53E374E458 | - |
| Αναγνωριστικό | https://doi.org/10.3390/s23208441 | - |
| Αναγνωριστικό | https://www.mdpi.com/1424-8220/23/20/8441 | - |
| Γλώσσα | en | - |
| Μέγεθος | 16 pages | en |
| Τίτλος | A UAV intelligent system for greek power lines monitoring | en |
| Δημιουργός | Tsellou Aikaterini | en |
| Δημιουργός | Τσελλου Αικατερινη | el |
| Δημιουργός | Livanos Georgios | en |
| Δημιουργός | Λιβανος Γεωργιος | el |
| Δημιουργός | Ramnalis Dimitris | en |
| Δημιουργός | Polychronos Vassilis | en |
| Δημιουργός | Plokamakis Georgios | en |
| Δημιουργός | Zervakis Michail | en |
| Δημιουργός | Ζερβακης Μιχαηλ | el |
| Δημιουργός | Moirogiorgou Konstantia | en |
| Δημιουργός | Μοιρογιωργου Κωνσταντια | el |
| Εκδότης | MDPI | en |
| Περιγραφή | This research has been supported by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH—CREATE—INNOVATE (project code: T2EDK-03595, AdVISEr). | en |
| Περίληψη | Power line inspection is one important task performed by electricity distribution network operators worldwide. It is part of the equipment maintenance for such companies and forms a crucial procedure since it can provide diagnostics and prognostics about the condition of the power line network. Furthermore, it helps with effective decision making in the case of fault detection. Nowadays, the inspection of power lines is performed either using human operators that scan the network on foot and search for obvious faults, or using unmanned aerial vehicles (UAVs) and/or helicopters equipped with camera sensors capable of recording videos of the power line network equipment, which are then inspected by human operators offline. In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and infrared (thermal imaging) spectrums, capable of providing real-time alerts about the condition of power lines. The very first step in power line monitoring is identifying and segmenting them from the background, which constitutes the principal goal of the presented study. The identification of power lines is accomplished through an innovative hybrid approach that combines RGB and thermal data-processing methods under a custom-made drone platform, providing an automated tool for in situ analyses not only in offline mode. In this direction, the human operator role is limited to the flight-planning and control operations of the UAV. The benefits of using such an intelligent UAV system are many, mostly related to the timely and accurate detection of possible faults, along with the side benefits of personnel safety and reduced operational costs. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2025-03-26 | - |
| Ημερομηνία Δημοσίευσης | 2023 | - |
| Θεματική Κατηγορία | Power line inspection | en |
| Θεματική Κατηγορία | Deep neural networks (DNNs) | en |
| Θεματική Κατηγορία | UAVs remote sensing | en |
| Θεματική Κατηγορία | RGB-thermal semantic segmentation | en |
| Βιβλιογραφική Αναφορά | A. Tsellou, G. Livanos, D. Ramnalis, V. Polychronos, G. Plokamakis, M. Zervakis, and K. Moirogiorgou, “A UAV intelligent system for greek power lines monitoring,” Sensors, vol. 23, no. 20, Oct. 2023, doi: 10.3390/s23208441. | en |
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