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作 者:甘密 李志强 汪飞 夏先春 GAN Mi;LI Zhi-qiang;WANG Fei;XIA Xian-chun(Guizhou Electromechanical Research and Design Institute,Guiyang,Guizhou 550014,China)
出 处:《食品与机械》2023年第4期89-93,共5页Food and Machinery
基 金:贵州省科技计划项目(编号:黔科合支撑[2021]一般169);遵义市科技重大专项(编号:遵市科合支撑NS[2020]25号)。
摘 要:目的:解决中国茶叶人工分选效率低、设备价格高、体积大、功能单一等问题。方法:利用图像识别技术,研制了一款小型茶叶智能分选控制系统,该系统根据茶叶和杂质的重力、体积、颜色及形状特征,调节风速、振动频率、颜色和形状特征参数,自动将茶叶和杂质分离。结果:以贵州卷曲状、颗粒状、片状机采茶为样本,对控制系统的性能进行测试。控制系统对3种机采茶的平均识别率分别为86.03%,93.53%,89.46%,产量约45.8 kg/h,拣选率约97%,带出比约5.4∶1。结论:茶叶智能分选控制系统,有效提升了茶叶的品质和价值,提高了分拣效率。Objective:In order to solve the problems on tea production of low efficiency of manual sorting,high cost of equipment,large volume,single function and so on.Methods:A small intelligent tea sorting control system was developed by using image recognition technology.According to the gravity,volume,color and shape characteristics of tea and impurities,the system can adjust the wind speed,vibration frequency,color and shape characteristic parameters,and automatically separates tea and impurities.Taking Curl,grain,flake machine-picked tea as the experimental objects,the system performance was tested.Results:The average recognition rate of the control system for the three kinds of machine-picked tea were 86.03%,93.53%and 89.46%respectively.The yield was about 45.8 kg/h,with the picking rate of about 97%,and the takeout ratio of about 5.4∶1.Conclusion:The intelligent tea sorting control system effectively improves the quality and value of tea and enhances the sorting efficiency.
分 类 号:TS272.3[农业科学—茶叶生产加工] TP273[轻工技术与工程—农产品加工及贮藏工程]
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