粉碎机筛网破损线阵扫描自动识别系统的设计与实现

发布时间：2018-12-17 02:27

【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、6mm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]:According to the particle characteristics of comminuted materials, a dynamic scanning detection device based on linear optical image acquisition technology and belt synchronous transmission technology and a grinding machine screen damage identification system based on virtual instrument development platform (LabVIEW) are constructed. Two kinds of corn and wheat were used as experimental samples, under the condition that the diameter of screen mesh was 2 ~ 4 ~ 6 mm, and the average area of grain was taken as the discriminant index, the average recognition rate of broken screen of corn and wheat was 91.2525 and 82.50, respectively. 96.25% and 93.75%, 86.25% and 78.75%; With the coefficient of variation of grain area as the discriminant index, the average recognition rate of broken screen of crushed corn and wheat was 93.75% and 87.50% and 96.25%, respectively. The results show that the recognition effect of the area variation coefficient is better than that of the average area, and the automatic recognition system can realize the real-time automatic recognition of the broken screen of the pulverizer.
【作者单位】： 华中农业大学工学院;
【基金】：国家公益性行业(农业)科研专项(201003063-04)
【分类号】：S817.12
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本文编号：2383490