基于嵌入式系统的太阳能电池片缺陷检测系统设计
发布时间：2018-08-13 20:54
【摘要】：太阳能电池片生产中的质量监控系统对于光伏产业的发展至关重要。鉴于现阶段多使用PC机作为机器视觉质量监控系统的处理控制中心,本文提出了基于嵌入式系统的太阳能电池片缺陷检测系统,从成本、效率、功耗等方面对系统进行优化,本文完成的工作如下：(1)基于TI的达芬奇系列芯片TMS320DM6467构建系统框架。使用ARM926和C6000系列DSP作为系统核心处理器。ARM负责对系统资源和外设进行管理,DSP运行算法对数据进行处理。采用Codec Engine进行双核系统间的协作,DSP LINK进行ARM和DSP通信。(2)针对太阳能电池片生产过程中产生的缺角、断极、断栅、裂纹等缺陷,设计基于灰度差分图像和行灰度分布图的缺陷预判断机制对缺陷进行初步识别。排除那些可以确定不含缺陷的图像,将资源集中在对那些可能存在缺陷的图像检测上面,以减小计算量,加快系统的检测速率。(3)对经预判断机制检测出的可能存在缺陷的图像,根据电池片的几何、轮廓等特征进行更为精确、复杂的检测操作,以确定图像是否存在缺陷,并识别缺陷的基本类型。(4)将算法按照符合C6000系列DSP的xDAIS标准和xDM标准进行封装。并移植到[MS320DM6467平台上,实现了DSP端的检测算法。编写ARM端应用程序来管理系统内存和IO接口等资源,最终实现基于嵌入式系统的太阳能电池片的缺陷检测。
[Abstract]:The quality monitoring system in solar cell production is very important for the development of photovoltaic industry. In view of the fact that PC is often used as the processing and control center of machine vision quality monitoring system, this paper presents a solar cell defect detection system based on embedded system, which optimizes the system from the aspects of cost, efficiency, power consumption, etc. The work accomplished in this paper is as follows: (1) the system framework is constructed based on the TMS320DM6467 of Da Vinci series chips based on TI. ARM926 and C6000 series DSP are used as the core processor of the system. Arm is responsible for managing the system resources and peripherals. Codec Engine is used to carry out ARM and DSP communication between DSPs and LINK. (2) aiming at the defects such as lack of angle, pole break, gate break, crack and so on, in the process of solar cell production, Codec Engine is used to realize the communication between ARM and DSP. The defect pre-judgment mechanism based on gray difference image and row gray distribution image is designed to identify the defect. Excluding images that can be identified without defects, and concentrating resources on the detection of images that may be defective, in order to reduce computation and accelerate the detection rate of the system. (3) for potentially defective images detected by the pre-judgement mechanism, According to the geometry and profile of the battery chip, more accurate and complex detection operations are carried out to determine whether the image is defective or not, and to identify the basic types of defects. (4) the algorithm is encapsulated according to the xDAIS standard and xDM standard of C6000 series DSP. And transplanted to [MS320DM6467 platform], realized the detection algorithm of DSP end. The application program of ARM is written to manage the memory and IO interface of the system. Finally, the defect detection of solar cell based on embedded system is realized.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM914.4;TP391.41
，
本文编号：2182158
[Abstract]:The quality monitoring system in solar cell production is very important for the development of photovoltaic industry. In view of the fact that PC is often used as the processing and control center of machine vision quality monitoring system, this paper presents a solar cell defect detection system based on embedded system, which optimizes the system from the aspects of cost, efficiency, power consumption, etc. The work accomplished in this paper is as follows: (1) the system framework is constructed based on the TMS320DM6467 of Da Vinci series chips based on TI. ARM926 and C6000 series DSP are used as the core processor of the system. Arm is responsible for managing the system resources and peripherals. Codec Engine is used to carry out ARM and DSP communication between DSPs and LINK. (2) aiming at the defects such as lack of angle, pole break, gate break, crack and so on, in the process of solar cell production, Codec Engine is used to realize the communication between ARM and DSP. The defect pre-judgment mechanism based on gray difference image and row gray distribution image is designed to identify the defect. Excluding images that can be identified without defects, and concentrating resources on the detection of images that may be defective, in order to reduce computation and accelerate the detection rate of the system. (3) for potentially defective images detected by the pre-judgement mechanism, According to the geometry and profile of the battery chip, more accurate and complex detection operations are carried out to determine whether the image is defective or not, and to identify the basic types of defects. (4) the algorithm is encapsulated according to the xDAIS standard and xDM standard of C6000 series DSP. And transplanted to [MS320DM6467 platform], realized the detection algorithm of DSP end. The application program of ARM is written to manage the memory and IO interface of the system. Finally, the defect detection of solar cell based on embedded system is realized.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM914.4;TP391.41
，
本文编号：2182158
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