电脑控制型龙井茶炒制机的研究

doi:10.13305/j.cnki.jts.2003.s1.014

Abstract

Abstract: The Longjing tea roasting machine controlled by computer is consisted of computer, multifunction machine and performing framework. Stored the data of Longjing tea processing in the computer, the computer controlled the heating temperature, processing time, rotational speed, pressure and stopping motor during the period of Longjing tea processing. The computer stored 12 processing programs which serve at the fresh tea leaves grade and various environment. The quality of Longjing tea processed by this machine is better than that of processed by hand. Thus solving out the problem in the production of Longjing tea mainly depand on the manual operation. Besides, the automatic level in the processing of fine-quality tea was improved simultaneously.

Key words: Computer control, Processing, Longjing tea, Data of technic

CLC Number:

TS272.3

LIU Xin, QUAN Qi-ai, FU Shang-wen, ZHU Shou-zhen, JIANG Xiao-wen, JIANG Yue-guang. Study on The Longjing Tea Roasting Machine Controlled by Computer[J]. Journal of Tea Science, 2003, 23(s1): 73-77.

[1]	汪尊伟. 制茶温度单片机自动控制系统设计[J]. 茶叶科学, 2000, 20(2): 158-160.
[2]	刘新, 等. 多用机制作龙井茶工艺探讨[J]. 中国茶叶, 2002, 5: 34-36.
[3]	权启爱, 等. 高档龙井茶手工炒制工艺参数的探索[J]. 中国茶叶, 2000, 4: 11-12.

[1]	CHEN Dequan, ZHU Yan, ZOU Chun, YIN Junfeng, CHEN Jianxin, XU Yongquan. Research Progress of Tea Beer [J]. Journal of Tea Science, 2022, 42(2): 169-178.
[2]	YANG Gaozhong, PENG Qunhua, ZHANG Yue, SHI Jiang, LIN Zhi, LÜ Haipeng. Effects of Anaerobic Treatment on Amino Acid Composition and Biological Activities of Different Type Teas [J]. Journal of Tea Science, 2022, 42(2): 222-232.
[3]	CUI Lidan, ZHANG Xianglin, XIANG Xi, LI Lanlan, QU Qingyun, XU Yangyang, WANG Jiguo, LIU Feng, GONG Zhihua, XIAO Wenjun. The Effect of Initial Microwave Drying on Black Tea Quality [J]. Journal of Tea Science, 2021, 41(3): 406-418.
[4]	YIN Yuxin, CHEN Yuqiong, JIAO Yuanfang, HAO Juan, YU Zhi, NI Dejiang. Effects of Raw Materials from Different Tea Cultivars on Green Brick Tea Quality [J]. Journal of Tea Science, 2021, 41(1): 48-57.
[5]	GUO Li, LYU Haipeng, CHEN Mingjie, ZHANG Yue, BA Yichen, GUO Yaling, LIN Zhi. Analysis of Fatty Acid Compositions and Contents in Oolong Tea from Fujian Province [J]. Journal of Tea Science, 2019, 39(5): 611-618.
[6]	WANG Fang, ZHANG Jianming, LI Bo, CHEN Baiwen, LIU Baoshun, ZHAN Shiquan, LIU Shizhang. Dynamics of Scent Type and Aroma Components of Wuyi Dahongpao during the Preliminary Processing [J]. Journal of Tea Science, 2019, 39(4): 455-463.
[7]	WANG Qiushuang, LING Caijin, QIAO Xiaoyan, CHEN Dong, CAO Junxi, WU Hualing. Effect of Withering and Fermentation Duration on Aroma and Qualities in Guangdong Danxia Black Tea [J]. Journal of Tea Science, 2019, 39(3): 342-354.
[8]	LIU Zhonghua. The Development Process and Trend of Chinese Tea Comprehensive Processing Industry [J]. Journal of Tea Science, 2019, 39(2): 115-122.
[9]	WANG Mengqi, SHAO Chenyang, ZHU Yin, ZHANG Yue, LIN Zhi, LYU Haipeng. Aroma Constituents of Longjing Tea Produced in Different Areas [J]. Journal of Tea Science, 2018, 38(5): 508-517.
[10]	YU Xinlei, AI Yujie, QU Fengfeng, AI Zeyi, LIU Shuyuan, CHEN Yuqiong, NI Dejiang. Metabolomics Application in the Study of Tea Quality Formation [J]. Journal of Tea Science, 2018, 38(1): 20-32.
[11]	BOUPHUN Tunyaluk, XU Wei, JIANG Yihe, ZHU Qi. Miang (Thai Fermented Tea) and Its Cuisine [J]. Journal of Tea Science, 2017, 37(6): 645-652.
[12]	WU Zhengmin, CAO Chengmao, XIE Chengjian, WU Jiasheng, HU Wangyang, WANG Tianyu. Grading of Machine Picked Tea Based on Image Processing Technology and Neural Network [J]. Journal of Tea Science, 2017, 37(2): 182-190.
[13]	LIU Jianjun, LI Meifeng, ZHANG Jing, TIAN Lili, WANG Kunbo, HUANG Jian′an, LIU Zhonghua. Effects of Traditional and Modern Processing Technologies on the Quality of Xinyang Maojian Tea [J]. Journal of Tea Science, 2016, 36(6): 594-602.
[14]	XIE Yunhai, ZHENG Deyong, YE Naixing, JIN Shan, ZENG Puyu. Analysis on the Contents of Zhangping Shuixian Tea’s Aroma Precursors during Manufacturing Processes [J]. Journal of Tea Science, 2016, 36(1): 11-17.
[15]	LIU Yang, CHEN Gensheng, XU Yongquan, ZHANG Yingna, YIN Junfeng. Extracting Characteristics of Flavone and Flavonol Glycosides in Xihulongjing Tea under Different Brewing Conditions and Their Contribution to Tea Taste [J]. Journal of Tea Science, 2015, 35(3): 217-224.

Study on The Longjing Tea Roasting Machine Controlled by Computer

PDF (PC)

Knowledge

Cited

Abstract

Cite this article

share this article

References 3

Related Articles 15

Metrics

Comments

Recommended 10