Szczegóły publikacji
Opis bibliograficzny
Drone based visual inspection of rooftop photovoltaic installations: opportunities and limitations / Dawid Joniak, Paweł HYLA // Archives of Engineering Knowledge [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 3072-0125 . — 2026 — vol. 12 iss. 1, s. 9–15. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15, Abstr. — Publikacja dostępna online od: 2026-06-01
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169001 |
|---|---|
| Data dodania do BaDAP | 2026-07-30 |
| Tekst źródłowy | URL |
| DOI | 10.30657/aek.2026.12.2 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Archives of Engineering Knowledge = Archwium Wiedzy Inżynierskiej |
Abstract
The rapid growth of rooftop photovoltaic (PV) installations in residential buildings has increased the need for efficient and safe inspection methods. Traditional inspection techniques often require direct roof access, which may be time-consuming, costly, and potentially hazardous. In recent years, unmanned aerial vehicles (UAVs), commonly referred to as drones, have emerged as a promising tool for the inspection and monitoring of PV systems. This study investigates the potential of drone-based visual inspection for rooftop photovoltaic in stallations on single-family houses using high-resolution optical imaging. The research focuses on the capability of UAV platforms equipped with standard RGB cameras to detect visible defects and irregularities in PV modules and installation structures. Typical issues observable through visual inspection include mechanical damage, surface contamination, shading effects, structural misalignment, damaged frames, and installation defects. The paper also discusses the operational advantages of UAV assisted inspection, including improved accessibility, reduced inspection time, enhanced safety, and the possibility of documenting the condition of PV systems using aerial imagery. At the same time, the study highlights key limitations of purely visual inspection methods, particularly the inability to detect certain electrical faults or thermal anomalies that typically require thermographic equipment. The results indicate that drone-based visual inspection can serve as an effective preliminary diagnostic tool for residential PV installations, enabling rapid assessment and early identification of visible defects. However, for comprehensive system diagnostics, visual inspection should be complemented by additional diagnostic methods. The findings contribute to the development of practical inspection procedures for small scale photovoltaic systems using accessible UAV technologies.
