The intelligent drone inspection system for photovoltaic (PV) areas significantly enhances the operational efficiency of solar power plants while reducing labor costs. This system integrates features such as automated inspections, real-time data collection, and intelligent analysis, ensuring the safe operation of equipment.
Equipped with high-precision sensors, the drones autonomously navigate pre-set flight paths, covering the entire PV area. This autonomous inspection capability effectively eliminates blind spots and efficiency bottlenecks associated with manual inspections. Additionally, the system can handle inspections in complex terrains, such as mountainous regions and water surfaces.
Utilizing deep learning algorithms alongside intelligent analysis, the system can conduct real-time analysis of images and temperature data, automatically identifying faults such as component aging and shading. It also supports remote real-time monitoring and historical data retrieval through 5G or dedicated wireless networks, facilitating real-time data transmission and cloud management. The system can automatically generate inspection reports as well.
The advantages of the intelligent drone inspection system extend beyond increased efficiency and optimized costs; it is also a vital component for enhancing the operational safety of solar power plants and achieving comprehensive lifecycle management. This system proves beneficial across various applications, whether in large ground-mounted plants or distributed PV systems.
By integrating various data types from drones and ground sensors, the system constructs a dynamic digital twin, enabling multi-source data fusion. The enhancement of AI algorithms leads to improved accuracy in fault identification and repair recommendations. Furthermore, adaptive inspection path planning optimizes energy consumption and inspection efficiency.
