DOI: 10.2514/6.2021-1683 Corpus ID: 234291342; Solar UAV for the Inspection and Monitoring of Photovoltaic (PV) Systems in Solar Power Plants @article{Sherman2020SolarUF, title={Solar
semi-automatic extraction and localization of PV modules in UAV thermographic videos of large-scale PV plants (see fig. 1). It can be used to automate inspection of PV plants and to curate
Thus, for an accurate inspection, extracting panels and limiting the diagnosis on their surfaces show up to be essential steps in the process of defects detection. We develop in
The Growing Importance of Solar Farms Sunlight has always been a abundant source of energy for us. In US, trend of solar inverters is on the rise from residential buildings to large solar farms. However, solar panels
In images captured using a UAV, the PV panel is centrally located. If the frame color and PV panel position criteria are satisfied, the pixel is considered to correspond to the
Abstract: This article addresses the design of a fully automated photovoltaic (PV) power plant inspection process by a fleet of unmanned aerial and ground vehicles (UAVs/UGVs). More
One of the most popular uses for drone thermography is solar panel inspection. Because a drone can cover large areas quickly, this makes a lot of sense. A drone thermographer can image hundreds of acres of solar fields
Unmanned aerial vehicles are widely implanted to reduce maintenance costs in photovoltaic plants, leading suitable information for fault detection and diagnosis. This paper
This paper deals with the problem of coverage path planning for multiple UAVs in disjoint regions. For this purpose, a spiral-coverage path planning algorithm is proposed. Additionally, task
Photovoltaic panels are the core equipment of photovoltaic power plants and require regular inspections. To improve inspection efficiency, unmanned aerial vehicles are currently mainly
Through combing the existing flexible UAV flight control and advanced image processing and fault detection techniques, the UAV-based system provides a promising prospect for the non-destructive inspection of
However, by conducting solar panel inspections with drones, a team of two is now able to inspect every single solar module in just 13 days, rapidly identifying damaged or dirty panels and
Drone inspection data is digitised and ready for further analysis or record-keeping, significantly improving efficiency. Assessment of solar panels. First, the inspection team needs to confirm the dimensions of the solar panel
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.
Unmanned aerial vehicles UAV with integrated thermal and RGB cameras have been used to support plant inspection and PV fault detection [ 74, 75, 112, 113 ]. Many studies in the literature involve the application of different UAV and imaging sensors.
Unmanned aerial vehicles (UAVs) have been recently proposed for PV inspections. In past decades, research made significant steps forward concerning the development of UAVs for monitoring applications, including the inspection of power transmission lines [ 10 ], gas and oil pipelines [ 11 ], precision agriculture [ 12 ], and bridges [ 13 ].
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.
The obtained images of PV modules during UAV inspection are first transformed from RGB mode into single-channel images, for significant reduction of computation and analysis complexity. The filtering process enhances the quality of images of PV modules and the obstacles of gridlines can be eliminated.
Through combing the existing flexible UAV flight control and advanced image processing and fault detection techniques, the UAV-based system provides a promising prospect for the non-destructive inspection of large-scale PV systems with significantly reduced human resources, inspection cycle and improved efficiency.
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