Driven by the "dual carbon" goal, the domestic photovoltaic industry is accelerating its transformation towards digitization and intelligence. Faced with vast photovoltaic power plants, traditional manual inspection and ground EL detection are no longer able to meet the large-scale and high-frequency operation and maintenance needs. The LXH210 unmanned aerial vehicle EL detection system launched by LAILX deeply integrates aerial remote sensing technology with electroluminescence detection, and builds a full lifecycle digital operation and maintenance system of "aerial inspection+cloud diagnosis" for domestic photovoltaic power plants. Photovoltaic unmanned aerial vehicle EL detection and scanning equipment

Domestic photovoltaic power plants often occupy vast areas and have complex terrain. Manual inspection is not only inefficient, but also difficult to detect hidden defects on component backboards or high places. The LXH210 drone EL detection system completely subverts this traditional mode. The system is equipped with a high-performance EL detection camera, which can perform non-contact electroluminescence imaging of photovoltaic modules during drone flight. Combining RTK centimeter level positioning and automatic cruise technology, LXH210 can autonomously fly along preset routes and quickly scan large areas of photovoltaic arrays. The single operation efficiency is dozens of times higher than manual inspection, truly achieving safe and efficient inspection of "human-machine separation".

From the perspective of the digital upgrade of domestic photovoltaic operation and maintenance, the core competitiveness of LXH210 lies in its powerful cloud collaboration and AI analysis capabilities. The EL images and thermal imaging data collected by the drone can be transmitted in real-time to the Lexus AI Photovoltaic Cloud platform. The cloud platform relies on the self-learning ability of large models to complete batch diagnosis of images in milliseconds, accurately identifying various defects such as hidden cracks, broken grids, hot spots, PID decay, and automatically generating diagnostic reports with GPS coordinates. This closed-loop mode of "front-end collection+cloud analysis+report output" greatly shortens the fault response cycle and improves the scientificity of operation and maintenance decisions.

Under the trend of refined management of domestic photovoltaic power plants, LXH210 also has strong power plant modeling and asset lifecycle management capabilities. By using GPS dual light coverage of aerial base maps and EL detection maps, the system can construct a realistic digital twin model of a photovoltaic power station. Operations personnel can visually view the health status of each component in the cloud, and perform online defect elimination after replacing faulty components, achieving accurate asset positioning and closed-loop management. In addition, LXH210 supports the pioneering dynamic 4K video detection mode, allowing operation and maintenance personnel to observe the status of components in real time during flight, greatly improving the efficiency of troubleshooting.

Currently, the domestic photovoltaic industry is entering an explosive period of stock operation and maintenance. The LX-LXH210 drone EL detection system not only fills the market gap in aerial EL detection for large photovoltaic power plants in China, but also promotes a profound change in operation and maintenance mode through technological innovation. It provides efficient, accurate, and secure operation and maintenance solutions for domestic photovoltaic power plants through the "cloud intelligent patrol" approach. In the future, with the deep integration of low altitude economy and new energy industry, LXH210 will surely shine brighter in helping domestic photovoltaic power plants reduce costs and increase efficiency, and promoting high-quality development of the new energy industry.

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