基于VisionPro太阳能电池片外观检测系统设计
发布时间：2018-08-20 18:22
【摘要】：太阳能发电已经受到了全人类的关注,它的市场需求量也随之变大。太阳能电池片的质量是影响电池片组件发电量的关键,所以在实际生产中对电池片的质量检测显得尤为重要。常见的电池片有多晶和单晶两种,本系统主要针对多晶电池片。多晶电池片的外观缺陷主要有缺角、边缘破损、粗栅断栅,以及表面颜色色差问题。多晶电池片的外观缺陷会极大降低电池组件的发电量,并且减少其使用寿命,表面颜色色差会影响到电池组件视觉美观,它的分类可以提高商业竞争力。本文根据电池片外观检测的实际需求,设计了一套基于VisionPro太阳能电池片外观检测系统,其集机械结构和软件控制为一体。此系统的设计具有深刻的实际应用价值。机械结构主要包括了图像采集系统结构、电池片分离装置和抓取装置。图像采集系统的结构设计根据具体选用的相机镜头,光源等来确定方案,其目的是能采集到高质量的图像,为接下来的外观检测提供好的基础。电池片的分离和抓取装置的设计根据具体电池片的摆放情况,以及电池片的特性,从而达到高效率、低碎片率的目的。它们在整个系统运输中起到关键的作用。软件控制主要包括图像采集模块、图像处理模块、通信模块。设置相机参数,进行白平衡和标定,完成图像采集后,利用VisionPro视觉软件对电池片进行外观检测,得到所需的数据结果后,经过计算判断,实现电池片的分类处理。最后发送命令给机械手、PLC、相机,完成通信,实现系统自动化。整个系统软件用C#语言在Visual Studio平台上进行编程。
[Abstract]:Solar power generation has been the concern of all mankind, its market demand has also increased. The quality of the solar cell is the key to the battery cell module, so it is very important to check the quality of the battery in the actual production. The common battery chip is polycrystalline and single crystal, this system is mainly for polycrystalline battery chip. The main appearance defects of the polycrystalline battery chip are angle, edge breakage, coarse gate broken gate, and color difference of the surface. The appearance defect of the polycrystalline battery chip will greatly reduce the battery component's power generation and its service life. The color difference of the surface will affect the visual beauty of the battery module, and its classification can improve the commercial competitiveness. In this paper, according to the actual demand of battery chip appearance detection, a solar cell appearance detection system based on VisionPro is designed, which integrates mechanical structure and software control. The design of this system has profound practical application value. The mechanical structure mainly includes image acquisition system structure, battery chip separation device and grab device. The structure design of the image acquisition system is based on the camera lens and light source to determine the scheme. The purpose of the system is to collect high quality images and provide a good basis for the next appearance detection. The design of the device for separating and grasping the battery chip is based on the placement of the battery chip and the characteristics of the battery chip so as to achieve the purpose of high efficiency and low debris rate. They play a key role in the transportation of the whole system. Software control mainly includes image acquisition module, image processing module and communication module. The camera parameters are set, the white balance and calibration are carried out, and after the image collection is completed, the appearance of the battery chip is detected by VisionPro vision software, and the required data result is obtained. After the calculation and judgment, the battery chip is classified and processed. Finally send the command to the manipulator PLC, camera, complete communication, achieve system automation. The whole system software is programmed on Visual Studio platform with C # language.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM914.4
[Abstract]:Solar power generation has been the concern of all mankind, its market demand has also increased. The quality of the solar cell is the key to the battery cell module, so it is very important to check the quality of the battery in the actual production. The common battery chip is polycrystalline and single crystal, this system is mainly for polycrystalline battery chip. The main appearance defects of the polycrystalline battery chip are angle, edge breakage, coarse gate broken gate, and color difference of the surface. The appearance defect of the polycrystalline battery chip will greatly reduce the battery component's power generation and its service life. The color difference of the surface will affect the visual beauty of the battery module, and its classification can improve the commercial competitiveness. In this paper, according to the actual demand of battery chip appearance detection, a solar cell appearance detection system based on VisionPro is designed, which integrates mechanical structure and software control. The design of this system has profound practical application value. The mechanical structure mainly includes image acquisition system structure, battery chip separation device and grab device. The structure design of the image acquisition system is based on the camera lens and light source to determine the scheme. The purpose of the system is to collect high quality images and provide a good basis for the next appearance detection. The design of the device for separating and grasping the battery chip is based on the placement of the battery chip and the characteristics of the battery chip so as to achieve the purpose of high efficiency and low debris rate. They play a key role in the transportation of the whole system. Software control mainly includes image acquisition module, image processing module and communication module. The camera parameters are set, the white balance and calibration are carried out, and after the image collection is completed, the appearance of the battery chip is detected by VisionPro vision software, and the required data result is obtained. After the calculation and judgment, the battery chip is classified and processed. Finally send the command to the manipulator PLC, camera, complete communication, achieve system automation. The whole system software is programmed on Visual Studio platform with C # language.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM914.4
【参考文献】
相关期刊论文 前10条
1 王红军;熊俊涛;黎邹邹;邓建猛;邹湘军;;基于机器视觉图像特征参数的马铃薯质量和形状分级方法[J];农业工程学报;2016年08期
2 王伟;李强;;太阳能电池片的主栅线提取及缺陷检测方法研究[J];西安工业大学学报;2015年04期
3 宋玉琴;刘凯凯;;基于机器视觉的太阳能电池片外观缺陷检测[J];单片机与嵌入式系统应用;2015年02期
4 丁婷婷;方舟;刘波;张君安;;基于机器视觉检测的摄像机快速标定与误差分析[J];制造业自动化;2015年01期
5 刘明周;马靖;张淼;赵志彪;杨铎;王强;;基于机器视觉的机械产品装配系统在线作业方法[J];计算机集成制造系统;2015年09期
6 李佶逊;;基于图像处理的低效率太阳能电池片自动检测[J];电子科技;2014年11期
7 张波;王文军;魏民国;成波;;基于机器视觉的驾驶人使用手持电话行为检测[J];吉林大学学报(工学版);2015年05期
8 王宪保;李洁;姚明海;何文秀;钱l勌，
本文编号：2194573
本文链接：https://www.wllwen.com/kejilunwen/dianlidianqilunwen/2194573.html
