Using drones and artificial intelligence to troubleshoot solar power plants is done in several ways:
1. Thermal imaging: UAVs take infrared images of solar panels using thermal cameras. These images help to identify hot spots that indicate problems such as bypass diodes or open circuit threads.
2. Analysis of images with artificial intelligence: Artificial intelligence analyzes the images taken by drones to automatically identify anomalies. This method helps to reduce inspection time and costs and is more accurate than manual inspections.
3. Geographical tagging: The images taken by drones have geographic tags that help to accurately identify the location of defects. This feature allows maintenance teams to access problem areas quickly and accurately.
4. Reduction of inspection time: Inspection of a large solar power plant using drones can be done in a few hours, while manual inspection may take several days