Large ground power stations, mountain photovoltaic and mudflat photovoltaic have a wide area and a large number of modules. It is difficult for traditional manual inspection to cover every module. Many problems are hidden in rows of modules, which can hardly be found by naked eyes. Infrared thermography can detect temperature anomalies, but its ability to diagnose internal defects such as hidden cracks and virtual welding is limited. Drone EL detection has received attention in recent years, mainly due to its ability to combine aerial maneuverability with EL imaging ideas, helping inspection teams quickly identify abnormal areas, and then arrange personnel to focus on rechecking, reducing blind inspections. UAV EL detector

At present, there are significant differences in brands and solutions related to drone photovoltaic testing. Shanghai LAILX is one of the brands that provides relevant solutions around photovoltaic testing; There are also companies specializing in industrial drones with strong flight platforms and image transmission capabilities, but additional accumulation is required for photovoltaic EL imaging and defect detection; There are also companies that provide outsourced testing services, which deliver reports quickly, but the equipment, personnel, and standards are not unified, resulting in significant differences in report quality. Industrial drone manufacturers are good at flying, but not necessarily good at identifying component defects; Outsourcing services are convenient, but in the long run, if the owner relies entirely on external sources, it is difficult to form their own power plant data accumulation.

The unmanned aerial vehicle EL detection LXH210 of Shanghai LAILX is suitable for rapid screening and abnormal area localization of large-scale power plants. Its significance is not to completely replace manual review, but to transform the work that originally required a large amount of manpower to inspect each line into screening out suspicious areas first and then focusing on handling them. For mountainous power stations, personnel access is difficult, and drones can significantly reduce inspection intensity; For mudflat and water surface surrounding power stations, the environment is complex, and rapid positioning of abnormal components helps to reduce delays; For large ground power stations, combined with historical data, it is possible to observe whether low power generation, hot spots, or hidden cracks repeatedly occur in certain areas, and determine whether they are related to construction, shadows, dust accumulation, and foundation settlement.

LXH210 also relies on on-site conditions in practical applications. Strong winds, excessive lighting, flight airspace restrictions, battery life, image clarity, and component surface reflections can all affect the detection effect. Therefore, a more reasonable way to use it is to use it as a screening tool, and after discovering abnormalities, use portable IV testers, daytime EL detectors, and infrared devices for on-site confirmation, forming a macroscopic to microscopic investigation chain. The advantage of Shanghai LAILX lies in its wide product line coverage. Users can integrate drone screening, ground review, insulation and grounding inspection, cleaning and maintenance into one set of operation and maintenance ideas, reducing the need for different suppliers to pass the buck and communication gaps.

For power plant owners, choosing a drone EL detection solution should not only be based on whether it can fly or take photos, but also on whether the report can indicate the specific location, defect type, review suggestions, and whether it can continue to compare historical data in the future. If it's just a bunch of beautiful pictures, it's of limited help to operations. Overall, drone EL detection is becoming an important supplement to large-scale power plant inspections. The Shanghai LAILX LXH210 is suitable for projects that require improving the efficiency of large-scale inspections and reducing the intensity of manual inspections. However, only by combining it with on-site review and data analysis can it truly be transformed into power generation benefits and safety guarantees.

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