Remote maintenance of photovoltaic plants
In a photovoltaic installation, the solar panels are exposed to inclement weather, as well as to an aging process that can lead to deterioration and damage. These defects usually manifest themselves with high heat dissipation that can be detected with thermal imaging cameras. The thermography analysis can be considered as the de facto standard for inspection of panels and it is a monotonous, arduous task assigned at present to workers.
Against this background, the UAVInspection project is proposed with the aim of automating this maintenance task through the use of UAVs (Unmanned Aerial Vehicles). The main innovation of the project lies in the integration of the aerial data obtained by the UAV into a Big Data platform. This platform carries out both the automatic generation of aerial missions and the visualization of the information collected by them. The outcome of this integration improves the acquisition of results in regard to the detection of incidents and the visualization of the status of the photovoltaic plants, as well as the automatic generation of new flight and monitoring missions.
UAVInspection achieves an autonomous, intelligent use of UAV technology, adapted in real time to the specific needs of each installation and minimizing the need for intervention by the operator. The adoption of this solution allows automation in the tasks of supervision and control of photovoltaic plants, resulting in more accurate, earlier control, so that errors can be detected in this type of facility in the early stages.