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苏叶在线分选系统设计与试验 被引量:6

Design and Experiment of Online Sorting System for Perilla
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摘要 针对我国苏叶人工分选劳动强度大、效率低、缺乏自动分选系统的问题,设计了苏叶在线分选系统,该系统由上料单元、检测单元、传输单元、分选单元、下料单元、供气系统以及控制系统组成。首先对苏叶图像进行预处理,进而获取叶片最小外接圆及其直径信息,最后根据确定的转换系数得到苏叶尺寸。为便于苏叶分选控制,设计了苏叶尺寸输出排序策略。试验结果表明,利用该系统能够实现苏叶的快速测量与分选,单幅图像处理时间约为0.18s,分选速度约为4片/s,系统测量总体平均绝对误差为0.157cm,总体分选准确率为90.09%。 In view of sorting perilla being high labor intensity,low efficiency by manual work and lacking automatic sorting system in China,a high efficiency system for sorting perilla was developed. The system was composed of hardware modules and software modules. The hardware modules included feeding unit,detecting unit,transporting unit,sorting unit,blanking unit,air supply system and control system. The maximum length of perilla’s blade was the most important and suitable parameter in sorting perilla according to its size. In order to carry out image processing and measure the maximum length of perilla’s blade,a high efficiency algorithm was developed based on morphological features of perilla. The algorithm consisted of target extraction,minimum circumscribed circle searching and result sorting.Based on the above hardware modules and the algorithm for measuring the maximum length of perilla’s blade,the software modules was developed. Experimental results showed that the processing time of single image was about 0. 18 s,the sorting speed was 4 pieces per second,the total average absolute error of the proposed system to measure the maximum length of perilla’s blade was about 0. 157 cm and the total sorting accuracy was 90. 09%. The system realized the whole process of sorting perilla from feeding to blanking automatically with minimum destruction at a high speed and high accuracy,it provided technical support for later relevant research and development of perilla sorting system.
作者 赵博 王烨 董鑫 李亚硕 姜含露 吕程序 ZHAO Bo;WANG Ye;DONG Xin;LI Yashuo;JIANG Hanlu;LU Chengxu(State Key Laboratory of Soil Plant Machine System Technology,Chinese Academy of Agricultural Mechanization Sciences,Beijing 100083,China)
出处 《农业机械学报》 EI CAS CSCD 北大核心 2019年第6期156-162,172,共8页 Transactions of the Chinese Society for Agricultural Machinery
基金 国家重点研发计划项目(2017YFD0401305)
关键词 苏叶 机器视觉 无损检测 自动分选 perilla machine vision non-destructive detection automatic sorting
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