Drones can precisely identify and locate defects in solar farms by utilizing high-definition visible light and thermal imaging. This facilitates early fault detection and preventive maintenance, thereby improving the quality and efficiency of photovoltaic power stations.
Problems
- The scale of photovoltaic projects is expanding rapidly, making it challenging to allocate operation and maintenance personnel promptly.
- The process of collecting and analyzing data from solar inspections can be laborious and complex.
- The efficiency of photovoltaic panels can be significantly affected and diminished by exposure to factors such as dust, dirt, or other contaminants.
Solutions
- Deploy resources more efficiently and minimize personnel risk by reducing time spent in the field and pinpointing faulty components with accuracy.
- Integrate drone data collection with advanced detection algorithms to streamline fault identification and enhance inspection efficiency.
- Merge visual and thermal data to accurately assess the condition of components and make well-informed maintenance decisions.