摘要
现有光伏电池板缺陷检测多采用电致发光激励以及面阵相机检测等方法,存在操作复杂、效率低等问题,为此开展基于线阵InGaAs相机的光伏电池板光致发光成像系统研究。首先,设计线阵InGaAs相机硬件框架与逻辑框架,以FPGA驱动线阵InGaAs相机完成数据采集与图像显示。通过固定模式噪声去除算法与直方图双向均衡算法,去除了缺陷图像中固定模式噪声,同时提升了图像的对比度和清晰度。最后通过搭建整体成像系统,通过光致发光成像对不同种类的光伏电池板的多种缺陷进行成像实验,检测精度达到0.2 mm/pixel。实验结果表明该系统可以完成对单晶硅与多晶硅光伏电池板中隐裂、黑斑、坏片、混档和脏污等缺陷的检测。
The existing defect detection methods for photovoltaic panels mostly use methods such as electroluminescence excitation and area array camera,which have problems such as complex operation and low efficiency.Therefore,research on photoluminescence imaging system for photovoltaic panels based on linear array InGaAs camera is carried out.Firstly,design the hardware and logic framework of the linear InGaAs camera,and use FPGA to drive the linear InGaAs camera to complete data acquisition and image display.By using fixed mode noise removal algorithm and histogram bidirectional equalization algorithm,fixed mode noise in defect images was removed,while improving the contrast and clarity of the images.Finally,by building an overall imaging system and conducting imaging experiments on various defects of different types of photovoltaic panels through photoluminescence imaging,with a detection accuracy of 0.2 mm/pixel.The experimental results show that the system can detect defects such as hidden cracks,black spots,damaged chips,mixed grades,and dirt in monocrystalline silicon and polycrystalline silicon photovoltaic panels.
作者
黄益东
钱芸生
张益军
徐晗
Huang Yidong;Qian Yunsheng;Zhang Yijun;Xu Han(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《电子测量技术》
北大核心
2024年第5期9-15,共7页
Electronic Measurement Technology
基金
国家自然科学基金(61771245)项目资助。