楚雄师范学院学报 ›› 2023, Vol. 38 ›› Issue (3): 83-90.

• 数学 • 上一篇    下一篇

基于回归模型的环境温湿度对烟叶制丝水分的影响分析

崔文波1, 王辉1, 崔汝念1, 史成云1, 邹欣延1, 秦海菲2,*   

  1. 1.红塔烟草(集团)有限责任公司昭通卷烟厂,云南 昭通 657000;
    2.楚雄师范学院 数学与计算机科学学院,云南 楚雄 675000
  • 收稿日期:2022-01-10 出版日期:2023-05-20 发布日期:2023-08-07
  • 通讯作者: * 秦海菲(1980–),女,副教授,研究方向为大数据分析。E-mail:qhfei@cxtc.edu.cn
  • 作者简介:崔文波(1987.6–),男,工程师,研究方向为工业自动化控制和工业大数据。E-mail:57795985@qq.com
  • 基金资助:
    红塔烟草(集团)科技项目(No. 2021GY01)

Analysis of the Influence of Ambient Temperature and Humidity on Tobacco Silk Production Moisture Based on Regression Model

CUI Wenbo1, WANG Hui1, CUI Runian1, SHI Chenyun1, ZOU Xinyuan1, Qin Haifei2,*   

  1. 1. Hongta Tobacco (Group) Co., Ltd. Zhaotong Cigarette Factory, Zhaotong, Yunnan Province 657000;
    2. Chuxiong Normal University, School of Mathematics and Computer Science, Chuxiong 675000
  • Received:2022-01-10 Online:2023-05-20 Published:2023-08-07

摘要: 烟叶制丝是卷烟生产的重要工序,烟叶制丝的质量对卷烟的质量起着决定性的作用,烟丝含水率是最为重要的一个质量指标。烟叶制丝工序包含松散回潮、润叶加料、烘丝、储料等生产环节,整个工序通过加水、加料、烘干等工艺控制烟丝水分。在生产实践中,通过工控系统结合操作人员的经验对加水量、加料量、温度等工艺指标进行控制。大量的实践表明,环境温湿度对工艺指标的设定和控制有着显著影响,通过对历史生产数据的分析和现场调查发现,在实际生产中往往依赖于操作人员的经验调整工艺指标来应对环境温湿度对烟丝含水率的影响。通过建立多元回归模型反映环境温湿度对烟丝含水率和工艺指标设定值的相互关系可以摆脱对操作人员的经验依赖进一步提升烟叶制丝工序的自动化率,提高生产效率,实现烟叶制丝生产过程的智能化控制。

关键词: 回归模型, 烟叶制丝, 水分控制, 大滞后控制

Abstract: Tobacco silk production is an important process of cigarette production. The quality of tobacco silk production plays a decisive role in the quality of cigarettes, and the moisture content of tobacco is the most important quality index. The tobacco leaf silk making process includes the production processes of loose moisture recovery, leaf embellishment, silk drying, material storage and so on. The whole process controls the water content of cut tobacco by adding water, feeding, drying and other processes. In the production practice, adding water, feeding drying as well as volume, temperature and other indicators are controlled through the industrial control system combined with the experience of the operators. A large number of practices show that environmental temperature and humidity have a significant impact on the setting and control of process indicators. Through the analysis of historical production data and field investigation, it is found that in actual production, it often depends on the experience of the operators to adjust process indicators to deal with the impact of environmental temperature and humidity on the moisture content of cut tobacco. Through the establishment of multiple regression model to reflect the relationship between environmental temperature and humidity on the moisture content of cut tobacco and the set value of process indicators, the dependence on the experience of operators can be minimized to further improve the automation rate of tobacco silk process, improve the production efficiency, and realize the intelligent control of tobacco silk production process.

Key words: regression model, tobacco leaf silk, water control, large lag control

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