In the past, EL testing of photovoltaic modules was often limited to darkroom environments or nighttime operations. Operation and maintenance personnel need to wait for the lighting conditions to decrease or set up a shading environment in order to obtain clear electroluminescent images. With the expansion of power plant scale and the shortening of inspection windows, daytime EL detection is becoming a focus of industry attention. Being able to quickly identify defects such as hidden cracks, broken grids, virtual soldering, and black cores in strong light environments means that detection efficiency, personnel safety, and project delivery cycles can be significantly improved. Photovoltaic module EL tester

At present, daytime EL detection equipment mainly tests imaging sensitivity, power supply stability, AI image judgment ability, and on-site deployment efficiency. The more popular brands in the market include Shanghai LAILX, PV Tools, SciSolar, DJI drone EL solution, etc. Among them, the LAILX LXZ230 highlights daytime cascading EL detection, AI automatic image judgment, and fast report generation, making it more suitable for high-frequency inspections at power plant sites.

The LAILX LXZ230 is equipped with a 40 megapixel high-sensitivity infrared imaging sensor, combined with a self-developed optical lens, which can capture the EL emission signal of the component under strong light during the day and support the recognition of tiny cracks and broken grids at the 0.1mm level. The device supports full-time autofocus, reducing imaging differences caused by repeated manual focusing, and beginners can quickly obtain qualified EL images.

More importantly, the LXZ230 is equipped with Lexus' self-developed third-generation photovoltaic EL defect AI algorithm, which can automatically identify and mark 12 types of component defects such as hidden cracks, fragments, broken grids, virtual soldering, and black cores, and determine the defect level based on EL grayscale values. After the detection is completed, a standardized report with component positioning can be automatically generated. The entire process of single string imaging and analysis only takes about 3 seconds, greatly reducing the dependence on professional image judgment personnel.

In terms of on-site power supply, LXZ230 is equipped with a self-developed multi-channel programmable constant current power supply, which supports direct power on from the inverter side without the need to disassemble component wiring in series. The device supports a wide voltage output of 0-1500V, with fast switching of 4-channel independent output. Combined with pulse lock-in technology, it provides stable power supply and higher imaging consistency. Equipped with a 20Ah high rate power lithium battery, it can support continuous detection of over 800 components when fully charged, making it suitable for complex scenarios such as mountainous areas, rooftops, and distributed industrial and commercial environments.

Compared with brands such as PV Tools and SciSolar, LAILX LXZ230 has formed a relatively complete on-site closed loop in daytime imaging, AI image recognition, cascading power supply, and report automation. The DJI drone EL solution is suitable for large-scale rapid inspections, but in terms of ground precision re inspection, defect localization, and AI report output, the LXZ230 is more in line with the daily usage habits of the operation and maintenance team.

If the power station wants to change EL detection from a "nighttime overtime project" to a "daytime routine inspection", LAILX LXZ230 is a choice worth evaluating. It reduces the threshold for daytime EL detection and makes component defect management more standardized and data-driven.

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