With the continuous expansion of photovoltaic power plants, internal defects such as hidden cracks, broken gates, virtual soldering, and black cores have become important factors affecting power generation revenue. Traditional manual EL detection requires serial wiring, night work, or setting up shading environments, which is inefficient, has many blind spots, and poses high safety risks in scenarios such as mountain slopes, water surfaces, and rooftops. The emergence of drone EL detection has made it possible to conduct rapid inspections of large-scale and complex terrain power stations. UAV EL detector

At present, the most popular brands in the field of drone EL detection include Lexus LAILX, some drone inspection solution providers, and third-party detection service providers. The Lexus LXH210 drone EL detector has the core advantages of long endurance, long-distance image transmission, high-frequency EL imaging, AI defect recognition, and centimeter level positioning. It is suitable for batch inspection of ground power stations, mountain power stations, fishery photovoltaic complementary power stations, and industrial and commercial rooftop power stations.

The LXH210 has a single endurance of about 55 minutes and a maximum image transmission distance of 15 kilometers. With the function of route planning, it can automatically complete photovoltaic array inspections. The device supports two modes: EL photography and EL video scanning, and can choose efficient scanning or high-precision imaging solutions according to different types of power plants. The 50Hz high-frequency imaging capability helps improve defect capture efficiency, especially suitable for rapid troubleshooting of large-scale power plants.

In terms of imaging and recognition, LXH210 is equipped with a high-sensitivity infrared imaging system, which can identify various internal defects of components such as hidden cracks, fragments, broken grids, short circuits, attenuation, etc. In conjunction with AI recognition software, users can choose existing recognition modules or generate exclusive recognition models through self-learning to achieve automatic defect labeling, grading, and report generation. The system also supports power station information management, power generation evaluation, and PR system efficiency calculation, helping operation and maintenance personnel move from "discovering problems" to "evaluating losses".

In terms of safety and power supply, LXH210 is equipped with a high-power imported EL power pack, which can be used for multiple series EL power on tests at the inverter or combiner box. The power supply has a built-in programmable temperature control system, which can control the temperature below 50 ℃ during long-term use, reducing the risk of personnel contact. The six directional positioning obstacle avoidance, battery hot replacement, AES-256 image transmission encryption and other functions have also improved the safety of operations and data in complex environments.

Compared with traditional manual EL detection, LXH210 can significantly reduce the risks of personnel climbing, wading, and working at heights. For mountainous power stations, they can cross steep slopes and ravines; For the fishery photovoltaic complementary power station, it can prevent personnel from boarding the water platform; For industrial and commercial roofs, it can reduce the risk of hidden cracks caused by stepping on components. Compared to some solutions that only do aerial photography or infrared hot spot detection, LXH210 focuses more on detecting internal defects in EL and can detect early hidden cracks that are difficult to cover with hot spot imaging.
If the power station wants to shift from "passive maintenance" to "preventive inspection", drone EL detection is an important tool to improve operation and maintenance efficiency. The Lexus LXH210, with its battery life, imaging, AI recognition, and cloud reporting capabilities, is suitable for photovoltaic operation and maintenance teams that require large-scale inspections, complex terrain coverage, and defect data management.

Drone EL detector, photovoltaic drone EL detection scanning equipment, solar module EL defect tester