基于光学无损检测的蔬菜种子分选系统研究与设计

发布时间：2018-08-04 18:47

【摘要】：种子作为农业生产中重要的基本生产资料,其质量成为农业生产中的一个热门课题。本文旨在基于光学无损检测技术下,根据蔬菜种子特点,对蔬菜种子分选系统进行研究设计,以提高种子的质量、活力。具体研究内容如下:(1)了解国内外种子分选系统的研究进展,分析了种子质量检测研究方法,选择了基于光学无损检测的种子质量检测法;(2)蔬菜种子分选系统总方案设计。针对蔬菜种子分选系统的功能需求,讨论了种子自动分选系统的设计方案,主要包括系统的设计要求、硬件系统总体方案设计和软件系统总体方案设计三个方面;(3)蔬菜种子识别检测系统的设计。确定了种子识别检测的实现方法,根据检测实现方法选用合适的器件并进行了组装与调试;确定相机标定方法,得到相机内外参数,为提取不成熟种子的位置信息做好准备工作;利用图像处理技术中的阈值分割和边缘检测对含有荧光的目标种子进行处理识别并提取质心坐标;(4)分选控制系统设计。成功识别出含有荧光的种子以后,需高精度的分选系统将种子分选出来,因此控制系统以直角坐标台为分级机构、PLC控制器为核心;设计了PLC通信模块、I/O口以及PLC控制程序;(5)上位机软件开发。基于VS2010和OpenCV的种子分选软件平台负责控制整个系统的运行流程;(6)试验研究。对直角坐标台进行精度标定试验,在此基础上完成蔬菜种子分选试验和发芽试验。试验结果表明,直角坐标台的精度能够满足系统的需求,种子分选成功率能够达到91%,分选后含有荧光的种子即不成熟的种子的活力明显低于不含有荧光的即成熟度的种子,系统合理性、可靠性达到设计要求。
[Abstract]:Seed as an important basic means of production in agricultural production, its quality has become a hot topic in agricultural production. The purpose of this paper is to study and design the vegetable seed sorting system based on the optical nondestructive testing technology according to the characteristics of vegetable seeds in order to improve the quality and vitality of the seeds. The specific research contents are as follows: (1) understanding the research progress of seed sorting system at home and abroad, analyzing the research methods of seed quality detection, choosing the seed quality detection method based on optical nondestructive testing; (2) designing the general scheme of vegetable seed sorting system. According to the functional requirements of the vegetable seed sorting system, the design scheme of the automatic seed sorting system is discussed, which mainly includes the design requirements of the system. There are three aspects: (3) the design of vegetable seed recognition and detection system. The realization method of seed recognition and detection is determined, the appropriate device is selected and assembled and debugged according to the detection method, the camera calibration method is determined, and the inside and outside parameters of the camera are obtained. In order to extract the position information of immature seeds, the threshold segmentation and edge detection in image processing technology are used to process and identify the target seeds with fluorescence and extract the centroid coordinates. (4) the design of sorting control system. After the seeds containing fluorescence have been successfully identified, the seeds need to be sorted out by a high-precision sorting system, so the control system takes the rectangular coordinate table as the classification mechanism and PLC controller as the core. The I / O port and PLC control program of PLC communication module are designed. (5) the software development of upper computer. The seed sorting software platform based on VS2010 and OpenCV is responsible for controlling the running process of the whole system. (6) Experimental research. On the basis of the precision calibration test of the rectangular coordinate table, the vegetable seed sorting test and germination test were completed. The results show that the precision of the rectangular coordinate table can meet the needs of the system, the seed sorting success rate can reach 91%, and the vigor of the immature seed containing fluorescence after sorting is obviously lower than that of the mature seed without fluorescence. The system is reasonable and reliable to meet the design requirements.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：S63;TP391.41

【相似文献】