基于近红外图像的硅太阳能电池故障检测方法

A method of silicon solar cells defect detection based on near-infrared images

摘要:

太阳能光伏发电是现今具有远大发展前景的新能源领域，先进高效的太阳能电池制造产业对于太阳能光伏发电具有重要意义，因此生产制造过程中太阳能电池探伤技术具有巨大的应用价值。当前新发展出的利用近红外图像对太阳能电池探伤的技术，对于检测太阳能电池故障比较有效，但当前工业界所使用的后期处理较为简单。通过对太阳能电池近红外图像作一定图像处理，可以较为快捷地分辨出太阳能电池的碎片、隐裂、断栅等故障。相对于已有的后期处理方法，可检测的故障类型较为全面，故障检测效率有较大提高，可以显著降低太阳能电池生产中的太阳能电池故障率。

Abstract:

Solar power is now the new energy which has huge development prospects，the advanced and efficient solar cell producing industry has great significance for solar power，so solar cells defect detection technology in the process of producing solar cell has huge application value. The new technology of using near-infrared imaging for solar cells defect detection shows high efficiency，however，the current industry only uses a relatively simple post-processing. Based on the near-infrared images of solar cell for some image processing，the defects of solar cells，such as debris，cracks，broken gate，etc.，can be identified more quickly. Compared with the traditional methods，this new method can identify more detection fault types with higher efficiency，therefore can significantly reduce the failure in the production of solar cell.