红枣自动快速无损检测分级机研究
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“十二五”国家科技支撑计划资助项目(2012BAF07B06)


Study of Rapid and Automatic Non-destructive Testing Grader for Red Jujubes
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    摘要:

    设计了基于机器视觉技术的红枣自动快速无损检测分级机,可依据枣果外部综合指标进行判别分级。整机由单体化定向排布输送系统、多表面图像采集与处理系统、分级执行机构、传动及控制部分组成。根据整机工作原理,采用辊轮输送链板与间歇式凸轮拨枣机构相结合的方式,实现枣果快速单体化排布输送,利用工业相机与STM32嵌入式系统配合正面及背面光源进行枣果多表面图像采集,采用气动式分级执行机构完成枣果分级。理论计算与试验表明:输送带最佳倾角为28°,当运行速度为160mm/s时,输送带驻枣率为95%,分级速度达10个/s,分级准确率92%,最大产能550kg/h,可较好满足红枣自动化快速检测分级生产要求。

    Abstract:

    An automated rapid non-destructive testing grader based on machine vision technology for jujubes was designed, which can discriminate and grade jujubes according to their external indicators. The equipment is mainly composed of five parts:monomeric orientation arrangement conveying system, multi-surface image acquisition and processing system, grading actuators, transmission mechanism and control system. Rapid monomeric arrangement delivery of jujubes was achieved by roller conveyor and cam intermittent motion mechanism, multi surface images of jujubes were obtained by industrial camera, front and back light and STM32 system. In addition, pneumatic grading actuator was designed to grade jujubes. The performance parameters were determined by calculating and testing,which were conveyor angle 28°, running speed 160mm/s, monomer orientation arrangement rate 95%, grading speed 10 jujubes/s,accuracy 92%, the maximum production capacity 550kg/h. The requirement of automated rapid detection and grading can be reached well by the grader.

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王松磊,刘民法,何建国,贺晓光,吴龙国.红枣自动快速无损检测分级机研究[J].农业机械学报,2014,45(9):79-83. Wang Songlei, Liu Minfa, He Jianguo, He Xiaoguang, Wu Longguo. Study of Rapid and Automatic Non-destructive Testing Grader for Red Jujubes[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(9):79-83.

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  • 收稿日期:2014-04-22
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  • 在线发布日期: 2014-09-10
  • 出版日期: 2014-09-10