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Corresponding Author(s)

李志强(1964—),男,贵州省机电研究设计院高级工程师,学士。E-mail:513907161@qq.com

Abstract

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.

Publication Date

6-5-2023

First Page

89

Last Page

93

DOI

10.13652/j.spjx.1003.5788.2022.80306

References

[1] 计时鸣, 王烈鑫, 熊四昌, 等. 茶叶分选过程中的自动化设备[J]. 农机与食品机械, 1996(2): 23-24.
[2] 张皓臻, 肖宏儒, 梅松, 等. 茶叶分选技术的现状和未来[J]. 农业工程, 2014, 4(5): 59-63.
[3] 高达睿. 基于颜色和形状特征的茶叶分选研究[D]. 合肥: 中国科学技术大学, 2016: 2-4.
[4] 刘希. 基于彩色线阵CCD的茶叶分选控制系统设计[D]. 南京: 南京林业大学, 2014: 3-5.
[5] 高震宇, 王安, 刘勇, 等. 基于卷积神经网络的鲜茶叶智能分选系统研究[J]. 农业机械学报, 2017, 48(7): 53-58.
[6] 李灏. 茶叶色选机智能控制系统研究[D]. 南京: 南京林业大学, 2012: 1-5.
[7] 李明珠, 倪超, 张晓, 等. 基于彩色线阵CCD的茶叶分选识别算法研究[J]. 中国农机化学报, 2015, 36(4): 124-129.
[8] 裴刚, 黄俊仕, 艾施荣, 等. 基于STM32茶叶红外杀青机温湿度模糊控制系统设计[J]. 现代电子技术, 2020, 43(19): 79-83.
[9] 虞文俊, 熊爱华, 刘仲寿, 等. 基于LabVIEW和Arduino的茶叶红外茶青机控制系统设计[J]. 食品与机械, 2018, 34(11): 110-114.
[10] 汪飞, 李志强, 甘密, 等. 光源对茶叶色选的影响研究[J]. 贵州科学, 2018, 36(3): 68-72.
[11] 丰会萍, 胡亚兰, 闫琛钰, 等. 基于TIA Portal的多功能茶叶包装机控制系统设计[J]. 食品与机械, 2017, 33(7): 85-88.
[12] 夏先春, 李志强, 杨洪涛, 等. 一种小型多功能茶叶分选设备的结构设计[J]. 现代机械, 2019(3): 64-67.

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