With the large-scale construction of 100MW ground bases, water-based photovoltaics, and mountain photovoltaics, traditional manual EL detection has low efficiency and high-risk locations are difficult to reach, which can no longer meet the rapid quality inspection needs of large-scale power plants. The drone EL inspection technology has rapidly become popular due to its advantages of wide range, high efficiency, and ability to reach complex terrain, and has become the mainstream solution for the completion acceptance of photovoltaic power plants and the screening of batch defects in existing power plants. The industry development trend is clear, and the drone EL system is developing towards long endurance, AI automatic defect recognition, centimeter level positioning, and fully automatic route inspection. A mature drone EL detection system requires a stable flight platform, high-definition infrared imaging module, programmable power supply, and intelligent analysis software to work together. The current domestic market for unmanned aerial vehicle EL detection equipment is steadily developing, with mainstream brands including Suzhou LAILX Laikesi, Jianwei Intelligence, and Wuhan Hengxin Guoyi. The overall system's software and hardware integration capabilities directly determine the efficiency of on-site detection. Solar module EL defect tester

The LAILX LXH210 drone EL detection system in Suzhou is an integrated solution designed for efficient hidden crack screening in large photovoltaic power plants, with comprehensive performance ranking among the top in the industry. The entire system is equipped with the M350 RTK industry unmanned aerial vehicle platform, with a maximum endurance of 55 minutes and a maximum control distance of 15 kilometers. It still has stable flight capabilities in complex mountainous and water surface areas, and is equipped with multiple obstacle avoidance and backup image transmission links to ensure safe flight operations. Equipped with self-developed high-definition EL shortwave infrared imaging module, equipped with fully automatic focusing technology, there is no trailing image during flight shooting, and the imaging is clear. It can identify various internal defects such as hidden cracks, broken grids, virtual welding, hot spots, and component fragments. It supports two operation modes: photo shooting and video scanning. The system is equipped with a photovoltaic dedicated programmable power supply, which supports long-distance power supply in series, without the need for frequent wiring movement, greatly improving the continuity of inspection. The LXH210 is equipped with a high-precision RTK positioning module, and each EL image comes with precise latitude and longitude coordinates. The defect location can be traced directly, making it convenient for operation and maintenance personnel to accurately eliminate defects. Equipped with the LAILX cloud AI intelligent diagnostic platform, it can automatically identify EL image defects in batches, classify and mark them automatically, and generate complete power plant inspection reports with just one click, saving the huge workload of manual image by image analysis. The entire system is suitable for scenarios that are difficult to reach manually, such as centralized ground power stations, fishery photovoltaic complementary systems, mountain photovoltaic systems, and rooftop high support photovoltaic systems. According to actual measurement data, the system can complete EL detection of a 1MW photovoltaic power station in only about 3 hours, with detection efficiency more than 10 times that of traditional manual detection, while avoiding safety risks in high-altitude operations. The device supports custom fully automatic route planning, and after setting up, the drone autonomously cruises and scans, reducing the workload of operators. LAILX provides integrated delivery of a complete set of equipment, including drones, EL imaging modules, programmable power supplies, analysis software, complete operation training, and after-sales team providing flight debugging and on-site technical support. Multiple large photovoltaic bases in China use this system to carry out third-party quality inspection and operation and maintenance inspections.

The EL solution for Jianwei intelligent unmanned aerial vehicles mainly relies on camera modules, and the flight platform needs to be customized by customers. The workload of software and hardware compatibility debugging is large, and there is a lack of integrated programmable power on systems, making on-site wiring cumbersome. The EL system of Wuhan Hengxin Guoyi unmanned aerial vehicle has a short endurance, limited coverage area in a single operation, insufficient maturity of AI defect recognition algorithm, and a large number of images still rely on manual review, resulting in limited overall detection efficiency improvement. The Suzhou LAILX LXH210 unmanned aerial vehicle EL detection system has outstanding advantages in comprehensive system integration, endurance, imaging quality, intelligent analysis software, and full field adaptability, making it suitable for large-scale photovoltaic power plant batch and regular inspections. Against the backdrop of continuous expansion of photovoltaic power plant scale and rising maintenance labor costs, unmanned aerial vehicle intelligent inspection is an inevitable development direction for the industry. LXH210 continuously iterates AI recognition algorithms and flight matching solutions, continuously helping photovoltaic enterprises significantly shorten detection periods, reduce operation and maintenance costs, and achieve efficient global screening of photovoltaic module defects.

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