高湿高雾环境下红茶发酵图像实时采集系统研制  

Real-time image acquisition system for black tea fermentation under high humidity conditions

作　　者：雷攀登[1] 周汉琛 田娟 刘亚芹 王辉[1] 杨霁虹 黄建琴 Lei Pandeng;Zhou Hanchen;Tian Juan;Liu Yaqin;Wang Hui;Yang Jihong;Huang Jianqin(Tea Research Institution,Anhui Academy of Agricultural Sciences,Huangshan 245000,China;Wuhan Guanxiang Artificial Intelligence Technology Co.,Ltd,Wuhan 430000,China)

机构地区：[1]安徽省农业科学院茶叶研究所,黄山245000 [2]武汉观象人工智能技术有限公司,武汉430000

出　　处：《农业工程学报》2022年第12期207-215,共9页Transactions of the Chinese Society of Agricultural Engineering

基　　金：安徽省重点研究和开发计划项目(201904a06020034);安徽省科技重大专项(202003a06020019);国家现代农业产业技术体系建设专项(CARS-19)。

摘　　要：为解决高湿高雾的红茶发酵场景下,无法实时采集图像的问题,该研究基于加热除雾防潮装置与工业相机系统,设计了高湿高雾环境下红茶发酵叶图像实时采集系统。系统主要由工业相机、镜头、加热除雾防潮装置、面光源、固定支架、控制软件与电脑组成。利用该系统采集单芽、叶片、茎、一芽二叶的发酵进程图像,通过图像处理技术,可以有效提取发酵叶的颜色特征信息;利用茶叶感官审评、发酵叶色泽与气味变化的方法,将采集的1564张图像分为发酵轻、偏轻、适度、过度4个带有红茶品质标签的数据集,数据集按照7∶3的比例划分为训练集和测试集,训练集通过MobileNetV3+Vision Transformer技术搭建深度学习模型,模型预测准确率达到95.68%;开发的可视化红茶发酵程度判别软件,可以实现红茶发酵程度有效预测与结果输出。研究结果表明,设计的图像实时采集系统可为红茶发酵程度智能化判别装备研发提供数据基础和技术支持。Fermentation is one of the key steps for the flavor in black tea processing.However,the traditional evaluation of fermentation grade can often be time-consuming,labor-intensive,and inaccurate at present,depending on the subjective sensory for the color observing and the flavor smelling.Since the change of color dominates the fermentation degree,machine vision can be expected to accurately and timely detect the optimum condition of fermentation in black tea processing.Nevertheless,the real-time image acquisition is still lacking so far,due mainly to the high humidity of processing workshop during tea fermentation.Herein,a real-time image acquisition system was designed for the black tea fermentation under the high humidity conditions.The high-efficient system consisted of an industrial camera,lens,defogging and moisture-proof device,surface light source,fixed bracket,vision software platform,and industrial computer.Specifically,a heating and mist elimination device was used as an upper and lower detachable aluminum alloy shell(length×width×height,120×65×68 mm)and two end caps.Among them,three components were soldered,including an opening(50×45 mm)in the center of one end cover of the shell,the electrode strip resistance(9-10Ω),and the wires.The high-temperature resistant insulating transparent glue was used to fix the electrodes on the short side of the ITO coated glass(length×width×height,55×50×1.1 mm),where the glass surface resistance with the electrode strip was about 10Ω.As such,a heating and defogging device was formed to fix the glass on the end cover of the central window.The 12.4 MP color CMOS vision system was equipped with the industrial cameras and the gigabit ethernet interface for 1Gbps bandwidth.The cameras were synchronized with the hardware and software triggers.C mount type was selected to connect the low-distortion 8 mm and 6 MP lens for the machine vision cameras.The specific procedure was as follows.The industrial camera was firstly fixed on one L-shaped bracket,and another was on t

关 键 词：可视化 发酵 图像分析 红茶 氧化铟锡镀膜玻璃 加热除雾 图像实时采集系统 

分 类 号：TS272.3[农业科学—茶叶生产加工] S126[轻工技术与工程—农产品加工及贮藏工程]