Description
By establishing an IoT network composed of sensors and meters, combined with the deployment of drones and artificial intelligence algorithms, it becomes feasible to detect faults in photovoltaic panels, both internal (e.g., circuit faults) and external (e.g., snow, shading areas, and cracks). Additionally, by installing local and small meteorological stations, the system can predict the expected power output of the photovoltaic system based on weather conditions and identify potential inefficiencies. The end user will receive updates on the performance of the photovoltaic system, as well as notifications regarding potential faults or inefficiencies, through a user-friendly application. This service can be used in the public sector and by private companies for the maintenance of large-scale photovoltaic parks.
