How to select a Photovoltaic panel PL detector? Which parameters should be considered?

The selection of a Photovoltaic panel PL detector centers on one's own testing scenarios and precision requirements, focusing on the core parameters of the equipment. Combined with the product characteristics of CHNSpec PL detectors, the following types of parameters should be emphasized during selection to ensure the equipment meets needs and provides accurate detection.

First, the imaging system parameters, which are the core guarantee of detection precision. Focus on pixels and resolution. The pixel range of CHNSpec PL detectors is 1.3 to 5 million, with a resolution of up to 2560×2048. Higher pixels lead to clearer imaging and a better ability to capture subtle defects such as micro-cracks and broken grids. For basic testing scenarios (such as outdoor inspections), selecting 1.3-2 million pixels is sufficient; for high-precision testing scenarios (such as laboratory R&D or high-end module quality inspection), it is recommended to choose 3-5 million pixels. Simultaneously, focus on the type of imaging system; CHNSpec adopts a hyperspectral imaging system paired with a hyperspectral filtering system, which can filter ambient light interference and improve imaging clarity, making it suitable for outdoor testing scenarios.

Second, the detection mode parameters, which determine the equipment's scenario adaptability. The detection modes of Photovoltaic panel PL detectors are mainly divided into daytime PL and nighttime PL. CHNSpec PL detectors support the daytime PL detection mode, requiring no darkroom and working stably under sunlight or rainy weather, making them suitable for scenarios such as outdoor inspection and incoming material sampling. If only used for indoor fixed scenarios (such as laboratories), equipment that only supports nighttime PL mode can be selected, which is relatively lower in price. Additionally, focus on whether the equipment is compatible with module and string measurements; CHNSpec equipment supports dual measurement modes to adapt to different testing needs.

Third, the wavelength parameters, which affect the accuracy of defect recognition. The core of PL detection is using near-infrared fluorescence induced by lasers to identify defects. The wavelength range must adapt to the testing requirements of the photovoltaic panel. CHNSpec PL detectors can accurately capture the fluorescence signals inside the photovoltaic panel to ensure the accuracy of defect recognition. During selection, the corresponding wavelength range should be chosen based on the type of photovoltaic panel.

Fourth, portability and power supply parameters, adapting to outdoor testing scenarios. If used for outdoor inspections, lightweight equipment with long battery life should be selected. The CHNSpec portable PL detector weighs less than 1KG, is compact in size, features a built-in lithium battery with excellent endurance, and supports fast charging and external mobile power supplies. If used for indoor fixed scenarios, desktop equipment can be selected, focusing on power supply stability and detection efficiency.

Fifth, intelligent function parameters, which improve detection efficiency. Priority should be given to equipment with AI defect recognition functions. CHNSpec PL detectors feature built-in AI large model algorithms that can automatically identify and classify multiple types of defects, reducing manual interpretation errors. They also support functions such as data export, GPS positioning, and module barcode entry to achieve traceability of detection data and improve detection efficiency.