Therefore, timely detection of photovoltaic panel defects can promote the safe and efficient operation of photovoltaic power plants[2]. There are two types of fault detection for solar the
power stations, many scholars also shifted their research focus to infrared photovoltaic images taken by the UAV. Pierdicca et al. [26] sent infrared photovoltaic panel images collected by
Keywords : Photovoltaic Panel Area Extraction, Thermal Infrared Images, Image Segmentation, UAV 559 ISSN 1598-4850(Print) ISSN 2288-260X(Online) Original article Received 2016. 11.
Photovoltaic panels are the core equipment of photovoltaic power plants and require regular inspections. To improve inspection efficiency, unmanned aerial vehicles are currently mainly
The application of unmanned aerial vehicle (UAV) infrared detection technology in PV power generation can not only improve work efficiency, but also have high economic benefits. This paper based on U-Net
For more information on the journal statistics, click here . Multiple requests from the same IP address are counted as one view. Because photovoltaic (PV) plants require periodic maintenance, using unmanned aerial vehicles (UAV) for inspections can help reduce costs. Usually, the thermal and visual inspection of PV installations works as follows.
The objective of this research is to compare the fault detection analyses performed, for two different solar PV plants, using alternatively an unmanned drone and a manned aircraft as aerial platforms, equipped with different IR cameras to provide reliable and comparable thermal images over the same inspected sites.
Airplane-based inspections are more convenient than UAV surveys for PV plants > 40 MW. The continuous increase in the number and scale of solar photovoltaic power plants requires the implementation of reliable diagnostic tools for fault detection.
The UAV selected for this simulation is the DJI S900. The route is designed to analyse each PV panel in the same FOV conditions, adapting its hight depending on the PV positioning and FOV conditions. Therefore, the route is based on 432 points with different height and coordinates defined by the GPS and RTK systems to compare both results.
This study presents two distinct techniques for aerial infrared thermography (aIRT) inspection of PV plants, employing remote sensing via UAV and aircraft platforms.
The autonomous inspection of PV plants through UAV photogrammetry has been explored in the literature [ 14, 15, 29, 30 ]. The UAV is given a set of waypoints, usually arranged in such a way as to cover a delimited area to ensure the required horizontal and vertical overlapping of images.
