粉碎机筛网破损线阵扫描自动识别系统的设计与实现
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国家公益性行业(农业)科研专项(201003063-04)


Design and implementation of automatic identification system
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    摘要:

    根据粉碎物料颗粒特征,构建一种基于线阵光学图像采集技术与皮带同步传送技术相结合的动态扫描检测装置和基于虚拟仪器开发平台LabVIEW的粉碎机筛网破损识别系统。以玉米和小麦2种谷物原料为试验样本,在筛网孔径分别为2、4、6 mm条件下,以颗粒平均面积为判别指标,粉碎玉米和小麦的筛网破损平均识别率分别为91.25%、82.50%、96.25%和93.75%、86.25%、78.75%;以颗粒面积变异系数为判别指标,粉碎玉米和小麦的筛网破损平均识别率分别为93.75%、98.75%、97.50%和93.75%、87.50%、96.25%。结果表明,以面积变异系数作为判定筛网破损的判别指标的识别效果优于平均面积的识别效果,所构建的自动识别系统可以实现对粉碎机破损筛网的实时自动识别。

    Abstract:

    A dynamic scanning detection device combining with the the linear optical image acquisition,the synchronous belt transmission technology and the crusher screen breakage recognition system based on virtual instrument development platform LabVIEW was developed to figure out a rapid and automatic identification method of screening crusher based on characteristics of pulverized material particles.Two kinds of corn and wheat grain were used to verify the effectiveness of the system.Using the average area of a particle as judging index,the average recognition rate of crushed corn screen breakage under the screen pore sizes of 2,4 and 6 mm was 91.25%,82.50% and 96.25%,crushed wheat screen breakage average recognition rate was 93.75%,86.25% and 78.75%,respectively.Using coefficient of variation in particle area as judging index,average recognition rate of crushed corn under the screen pore sizes of 2,4 and 6 mm was 93.75%,98.75% and 97.50%,respectively.The average recognition rate of crushed wheat screen breakage was 93.75%,87.50% and 96.25%,respectively.The results showed that the effect of using the coefficient of area variation as judging index of distinguishing screen breakage recognition was better than that of the average area.The automatic identification system developed can realtime identify grinder broken and screen automatically.

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何冲,刘梅英,吴慧子,牛智有.粉碎机筛网破损线阵扫描自动识别系统的设计与实现[J].华中农业大学学报,2017,36(1):123-129

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  • 收稿日期:2016-04-22
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  • 在线发布日期: 2016-12-29
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