龚道仁,袁志钟,赵文,东野长旭,陈勇,姚宏燚,尤奇燊,喻书豪,朱佳

• 1:扬州光电产品检测中心
• 2:国家级光电产品检测重点实验室
• 3:江苏大学材料科学与工程学院
• 4:青岛智目科技公司

摘要(Abstract)：

在机器视觉技术的基础上研制了具有自动识别、分析功能的光伏组件电致发光测试系统。首先,开发晶硅太阳电池(单、多晶硅)的电致发光缺陷知识库;然后,搭建设备,并编写软件对光伏组件的电致发光图像进行校正、定位,并标示出缺陷区域;在导入的知识库帮助下,最终实现了软件对光伏组件中缺陷的自动识别功能。此系统具有自动化程度高、准确度高、可定量分析等特点,避免了传统人工分析组件电致发光图像的众多缺点,具有明显的技术和市场优势。

关键词(KeyWords)： 机器视觉;光伏组件;电致发光;图像分析;知识库

Abstract:

Keywords:

基金项目(Foundation): 江苏检验检疫局科技计划项目:晶体硅光伏组件电致发光(EL)评价方法研究及基于机器视觉自动识别分析的电致发光(EL)测试系统的研制(2013KJ19);; 江苏大学第13批大学生科研立项(Y13A175)

作者(Author): 龚道仁,袁志钟,赵文,东野长旭,陈勇,姚宏燚,尤奇燊,喻书豪,朱佳

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