Jinghong developed a UAV-based new energy service system, built on its flight control platform and an advanced hotspot detection algorithm.

Inspection: The drone follows pre-set routes and uses thermal detection to fully cover solar arrays. This prevents missed areas in manual inspections and ensures no blind spots. Compared with traditional methods, efficiency has improved tenfold, and hotspot fault detection exceeds 90%. Results can be viewed in real time via the platform, allowing instant fault diagnosis.

Cleaning: Equipped with a specialised spraying device, the drone can clean 800 m² of panels per hour—more than 5 times faster than manual cleaning. After cleaning, solar power generation efficiency increased by over 8%, while worker safety was maintained by eliminating the need for risky manual work in hot, exposed environments.

The drones transformed both inspection and cleaning. They offered high-efficiency data collection, real-time fault detection, and accurate cleaning processes. By automating these tasks, they cut human labor, reduced safety hazards, and enhanced operational efficiency.

The pilot projects proved the value of UAVs in solar panel maintenance.

Inspection efficiency improved 10 times.

Hotspot recognition rate exceeded 90%.

Cleaning efficiency improved 5 times.

Power generation rose by 8% after cleaning.

Costs and risks dropped significantly compared to manual methods.