The scale of large-scale ground photovoltaic, fishery photovoltaic complementary, and mountain photovoltaic power stations in China continues to expand, with the number of components in a single power station reaching hundreds of thousands, and the array distribution range is wide. Traditional ground EL detection requires detection personnel to enter the site in a formation by formation and image groups by series connection. When encountering high-risk areas such as water surfaces, steep slopes, and deserts that are difficult for personnel to reach, the entry operation is difficult, the detection cycle is long, and the full inspection of megawatt level power plants requires a large amount of manpower and material resources. There is also a risk of falling safety in high-altitude operations. The artificial ground EL detection mode is no longer suitable for the high-frequency and full coverage defect inspection needs of large power plants with a capacity of 100 megawatts. Shanghai LAILX has launched the LXH210 unmanned aerial vehicle EL detection system, which deeply integrates the industrial RTK unmanned aerial vehicle flight platform with professional EL infrared imaging technology to achieve rapid and large-scale EL imaging acquisition of photovoltaic modules at high altitude, without the need for personnel to enter high-risk array areas. It completes internal defect inspections such as module hidden cracks, broken grids, virtual soldering, PID attenuation, etc., realizing the intelligent leap of photovoltaic inspection from "finding defects by people" to "finding defects by people". EL internal defect quality inspection

The complete LXH210 drone EL detection system includes an airborne high-definition EL imaging module, an industrial RTK drone platform, a ground control system, and supporting AI defect analysis software. Adopting high-performance industrial RTK unmanned aerial vehicles, with strong wind resistance and a single endurance of up to 55 minutes, it supports custom route automatic cruise control, high flight positioning accuracy, and ensures accurate geographic coordinates of aerial images. The gimbal is equipped with a lightweight and high-sensitivity infrared EL camera, and is equipped with patented fully automatic focusing technology. It automatically focuses in real-time during flight and movement, eliminating the shortcomings of manual focusing in traditional drone EL devices. The entire flight shooting process maintains clear and stable images, accurately capturing more than ten internal defects such as hidden cracks, broken grids, battery fragments, virtual soldering, black core battery cells, PID decay, etc. The system supports dual-mode inspection of photography and dynamic 4K video scanning. 1-36 components can be imaged at once, and the detection efficiency is 5-10 times higher than traditional ground EL. The traditional ground detection requires several weeks to complete the inspection work of a hundred megawatt power plant. The LXH210 can be compressed to a few days to complete, greatly reducing the project duration.

The images collected by the aircraft are wirelessly transmitted back to the ground control terminal in real-time. Operators can view the imaging images in a safe area on the ground in real time, detect shooting abnormalities in a timely manner, and avoid large-scale missed or wrong shots. Each EL image is bound with high-precision RTK geographic positioning information, and defect images can be traced back to latitude, longitude, and array numbers, making it convenient for later positioning of faulty components. After the aerial photography collection is completed, the images are imported into the LAILX supporting AI defect recognition and diagnosis software. The system automatically completes component segmentation, defect recognition, marking and classification, batch outputs defect statistics list and defect location distribution map, automatically generates a complete detection report, clearly marks the defect component array number and position, and the operation and maintenance personnel can directly carry out defect elimination and maintenance based on the report, opening up a complete loop of aerial photography collection, AI analysis, and report output.
The LXH210 is highly suitable for complex scenarios such as large-scale ground power stations, water surface fishery photovoltaic power stations, and mountain photovoltaic power stations. It is also suitable for steep slopes and water surface component arrays that personnel cannot enter. Drones can complete inspections in mid air, avoiding the risks of high-altitude and water related operations and significantly reducing personal safety hazards. It can be applied in scenarios such as completion acceptance of new power stations, batch quality inspection of components, annual survey of existing power stations, and insurance loss assessment. The system is equipped with lightweight airborne modules, with reasonable load control and compatibility with mainstream industrial unmanned aerial vehicle platforms. The equipment is easy to disassemble and transport, and one system can be rotated across multiple power plant projects, improving equipment utilization and reducing unit megawatt testing costs.

Shanghai LAILX has extensive experience in landing large-scale power plant unmanned aerial vehicle (UAV) EL projects, providing equipment delivery, route planning training, AI interpretation training, on-site technical support, and integrated maintenance and calibration services. We arrange professional engineers to assist customers in mastering the UAV EL operation process and provide cruise plans for power plants in different terrains. The LXH210 unmanned aerial vehicle EL detection system breaks through the spatial and efficiency limitations of ground manual EL detection, solves the problem of large-scale hidden cracks in large photovoltaic power plants through aerial inspection, promotes the intelligent, large-scale, and safe detection of photovoltaic defects, and provides an efficient and new solution for the quality control of the entire life cycle of large photovoltaic power plants in China. It helps power plants quickly identify internal defects, reduce power generation losses, and improve the operational efficiency of photovoltaic assets.

EL internal defect quality inspection, optimized equipment for photovoltaic detection, and defect quality inspection of power station array components