{"title":"Process control for the tea baking","authors":"Zhenyao Zheng, Jiyang Dong, Zhong Chen","doi":"10.1109/MMVIP.2007.4430707","DOIUrl":null,"url":null,"abstract":"The tea baking process is usually controlled by experience. It may leads to the instability of product quality. A new process control scheme for tea baking is proposed in this paper. Varied intelligent meters and concentrative controllers are used to construct the control system. A mathematic model is built to simplify the various factors, such as growth zone, breed tea-picking season, baking temperature, surrounding humidity, moisture of tea leaves, and consumer's desire. Furthermore, a novel interface software is designed to make the communication between controller and intelligent meters more agile, stable, and extensible. The proposed controlling scheme has been adopted by tea manufactories, and the result shows that the process control is effective and feasible, and the quality of tea is greatly improved.","PeriodicalId":421396,"journal":{"name":"2007 14th International Conference on Mechatronics and Machine Vision in Practice","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 14th International Conference on Mechatronics and Machine Vision in Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMVIP.2007.4430707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The tea baking process is usually controlled by experience. It may leads to the instability of product quality. A new process control scheme for tea baking is proposed in this paper. Varied intelligent meters and concentrative controllers are used to construct the control system. A mathematic model is built to simplify the various factors, such as growth zone, breed tea-picking season, baking temperature, surrounding humidity, moisture of tea leaves, and consumer's desire. Furthermore, a novel interface software is designed to make the communication between controller and intelligent meters more agile, stable, and extensible. The proposed controlling scheme has been adopted by tea manufactories, and the result shows that the process control is effective and feasible, and the quality of tea is greatly improved.