湖北农业科学 ›› 2025, Vol. 64 ›› Issue (5): 141-146.doi: 10.14088/j.cnki.issn0439-8114.2025.05.022

• 信息工程 • 上一篇    下一篇

基于大数据的烟草仓库温湿度智能调控系统设计

赵子佳1, 郑晓耘1, 李净凯2, 张娜1, 刘小丽1, 刘远上1   

  1. 1.河北白沙烟草有限责任公司,石家庄 050051;
    2.石家庄铁道大学交通运输学院,石家庄 050043
  • 收稿日期:2024-08-28 出版日期:2025-05-25 发布日期:2025-06-11
  • 通讯作者: 郑晓耘(1978-),男,河北石家庄人,高级工程师,主要从事烟草醇化质量研究,(电子信箱)1224071357@qq.com。
  • 作者简介:赵子佳(1984-),男,河北石家庄人,高级工程师,主要从事烟草智能仓储研究,(电子信箱)892550316@qq.com
  • 基金资助:
    河北省中烟工业公司重大科技专项(HBZY2022A100)

Design of an intelligent temperature and humidity control system for tobacco warehouses based on big data

ZHAO Zi-jia1, ZHENG Xiao-yun1, LI Jing-kai2, ZHANG Na1, LIU Xiao-li1, LIU Yuan-shang1   

  1. 1. Hebei Baisha Tobacco Co., Ltd., Shijiazhuang 050051, China;
    2. School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
  • Received:2024-08-28 Published:2025-05-25 Online:2025-06-11

摘要: 以石家庄卷烟厂烟草仓库为对象,引入大数据分析技术,编写温湿度采集模块、功能模块、开发模块,设计烟草仓库温湿度智能调控系统,实现了仓库内温湿度的自动计算、智能判定和手机预警,并进行烟草仓库温湿度的调控试验。结果表明,烟草仓库温湿度智能调控系统温湿度调控的平均响应时间从93 s减少至6 s,平均有效调整率从68% 提高至100%。该系统自动监测库内温湿度,当温湿度达到预警条件时及时向手机端发送预警信息,报警准确率达100%,实现烟草仓库温湿度智能管控,提高了设备利用率。

关键词: 大数据分析, 烟草仓库, 温湿度, 智能调控系统, 设计

Abstract: Taking tobacco warehouses of Shijiazhuang Cigarette Factory as the research object, big data analysis technology was introduced,temperature and humidity acquisition modules, functional modules, and development modules were programmed,an intelligent temperature and humidity control system for tobacco warehouses was designed,which achieved automatic calculation, intelligent judgment, and mobile alerting for temperature and humidity within warehouses,and regulation experiments for tobacco warehouse temperature and humidity were conducted. The results showed that the average response time for tobacco warehouse temperature and humidity regulation in the intelligent control system decreased from 93 s to 6 s,and the average effective adjustment rate increased from 68% to 100%. The system automatically calculated temperature and humidity inside warehouses,sent real-time alerts to mobile terminals when temperature and humidity reached warning thresholds,achieved 100% alarm accuracy, and realized intelligent management of temperature and humidity in tobacco warehouses,thereby improving equipment utilization rates.

Key words: big data analysis, tobacco warehouses, temperature and humidity, intelligent control system, design

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