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太阳电池组件缺陷的自动检测

Automatic detection of defects in solar cell modules

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【作者】 念蓓刘小宇傅志中王利

【Author】 (Shanghai Solar Energy Research Center, Shanghai, 200241, China) NIAN Bei LIU Xiao-yu (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai, 200093, China) FU Zhi-zhong WANG Li

【机构】 上海太阳能工程技术研究中心上海理工大学光电信息与计算机工程学院

【摘要】 利用半导体的电致发光原理设计太阳电池组件图像获取装置,将图像处理应用于其检测系统中,最终系统可自动检测出其黑片、碎片、断栅和裂纹等缺陷。对图像进行滤波、单片划分、灰度变换、二值化、特征描述和提取,最后可将缺陷分类并反馈检测结果,标记出缺陷的种类和位置。该方法增加了对以前人工难以识别的缺陷类型(比如隐裂)的检测,也将消除人工检测可能造成的人为失误,可降低人工成本、次品率,提高生产线的检测效率和生产率。

【Abstract】 Image acquisition devices which can get infrared image of solar module is designed using the principles of the semiconductor’s electroluminescence, image processing is applied to the detection system which can detect the detections automatically including black pieces, fragmentation , broken grid ,crack and so on.The defects of the infrared image are classified and the types and location are marked out after filtering, single-chip division, gray-scale transformation, binary, feature description and extraction,finally the results are feeded back to the database. This method increases the defect types (such as crack) which the manual is difficult to identify, it can eliminate human errors which manual testing will be possible to produce and reduce labor costs, reject rates , futher it can improve the detection efficiency and productivity of production line.

【关键词】 太阳电池图像处理二值化特征提取
【Key words】 solar cellimage processbinaryfeature extraction
【基金】 基金申请人:薛永胜;项目名称:太阳电池产品检测服务平台技术研究;基金颁发部门:上海市科委(08DZ2291000)
  • 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2011年02期
  • 【分类号】TM914.4
  • 【被引频次】5
  • 【下载频次】208
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