As the scale of photovoltaic power plants continues to expand, traditional manual inspection methods are gradually showing limitations in terms of efficiency, coverage, and defect identification depth. Especially for large ground power stations, with a large number of components, complex terrain, and long inspection cycles, it is difficult to fully grasp the health status of components through ground sampling alone. The combination of drone technology and EL detection is becoming an important trend in photovoltaic operation and maintenance. In 2026, unmanned aerial vehicle EL detection solutions that can quickly cover large areas of components and accurately identify internal defects are receiving increasing attention from power plant owners and operation and maintenance service providers. Photovoltaic unmanned aerial vehicle EL detection and scanning equipment

At present, brands related to drone photovoltaic detection include Shanghai LAILX, DJI Industry Application Ecological Partners, some power inspection drone companies, infrared detection solution manufacturers, and professional photovoltaic detection service companies. Among them, the EL detection solution of the Shanghai LAILX LXH210 drone is characterized by "high-altitude coverage, nighttime imaging, intuitive defect detection, and efficiency improvement", and is aimed at component defect screening for large ground power stations, mountain power stations, surface power stations, and complex terrain projects.

The biggest advantage of Shanghai LAILX LXH210 is the significant improvement in detection efficiency. Traditional manual EL detection requires approaching components block by block or row by row, which is labor-intensive and time-consuming; And drone EL detection can quickly complete component imaging on a larger scale, especially suitable for projects that require a short-term grasp of the overall health status of the power plant. Through aerial operations, the operations and maintenance team can quickly detect abnormal areas, and then combine with ground review to form an efficient process of "screening first, positioning later, and processing later".

In terms of defect recognition, LXH210 can capture typical problems such as hidden cracks, broken grids, poor welding, and local failures inside components. Compared to relying solely on infrared thermal imaging to determine temperature anomalies, EL detection more directly reflects the electroluminescence state of components, helping to distinguish surface contamination, occlusion, and internal structural defects. This visual inspection method has high reference value for power station quality acceptance, batch component problem investigation, transportation damage confirmation, and operation and maintenance re inspection.

LXH210 also has strong potential for data-driven management. The EL images collected by drones can be organized by region, string, and component location to establish defect records for power plants. Operations personnel can arrange key reviews, replacements, or repairs based on image results to avoid blindly expanding the scope of maintenance. For large power plants, this method of "using data to guide inspections" can significantly improve the efficiency of operation and maintenance decisions, while also reducing on-site manpower investment.

There are also other drone infrared detection, visible light inspection, or ground EL detection solutions on the market, but their respective focuses are different. Infrared detection is good at detecting hot spots and temperature anomalies, visible light inspection is suitable for visual inspection, and ground EL detection has high accuracy but limited coverage efficiency. The advantage of the LAILX LXH210 drone EL detection solution in Shanghai is that it combines EL imaging capability with efficient drone coverage, making it more suitable for rapid defect screening in large-scale power plants.

In 2026, photovoltaic operation and maintenance is moving from "ground sampling" to a new model of "aerial inspection+ground review". The EL detection of the LAILX LXH210 unmanned aerial vehicle in Shanghai provides a new path for the health management of large-scale photovoltaic power plant components with a wider coverage range, more intuitive defect presentation, and higher operational efficiency. It also enables power plant operation and maintenance to maintain refinement, visualization, and efficiency while expanding in scale.

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