烟叶原烟仓储数字化转型对策研究  

Research on strategies for digital transformation of original tobacco warehousing of tobacco leaf

作　　者：赵昌华 杜留德 袁明 王挥华 陈载清[3,4] 云利军 ZHAO Chang-hua;DU Liu-de;YUAN Ming;WANG Hui-hua;CHEN Zai-qing;YUN Li-jun(Tobacco Leaf Business Department,Yunnan Tobacco Company,Kunming 650218,China;School of Physics and Electronic Information,Yunnan Normal University,Kunming 650500,China;School of Information,Yunnan Normal University,Kunming 650500,China;Engineering Research Center for Computer Vision and Intelligent Control Technology,Department of Education of Yunnan Province,Kunming 650500,China)

机构地区：[1]云南省烟草烟叶公司烟叶经营科,云南昆明650218 [2]云南师范大学物理与电子信息学院,云南昆明650500 [3]云南师范大学信息学院,云南昆明650500 [4]云南省教育厅计算机视觉与智能控制技术工程研究中心,云南昆明650500

出　　处：《云南民族大学学报(自然科学版)》2025年第2期224-232,共9页Journal of Yunnan Minzu University:Natural Sciences Edition

基　　金：中国烟草总公司云南省公司科技计划项目(2022530000241026).

摘　　要：针对烟叶公司烟叶仓储数字化程度不高,烟叶存储与调配效率低下等问题,提出面向烟叶原烟仓储数字化转型方法,包括建立数字信息空间和构建智能调度管理模型2个方面.其中,数字信息空间主要包括建立货位单元化、货区网格化、管理标准化的数字孪生体模型,实现对原烟周转库、直投区物料库、露天堆场物料库、半成品库、成品库等主要仓储库的数字信息化管理.智能调度管理模型则包括数据采集与分析、智能作业调度系统、实时监控与反馈、跨部门协同调度和人工智能技术应用5个方面,旨在实现资源的合理配置和作业任务的优化分配,提高作业效率和准确度.该方法有望在降低成本的同时提高烟叶存销效率,为烟叶数字化仓储系统的设计与应用提供参考.In response to the issue of low digitalization in tobacco leaf storage and inefficiencies of storage management and allocation within tobacco leaf companies,this paper proposes a digital transformation method for tobacco leaf storage,focusing on the establishment of a digital information space and construction of an intelligent scheduling management model.The digital information space primarily involves building a digital twin model with unitized rack positions,gridded storage areas,and standardized management.This model targets digitizing and informatizing the management of key warehouses such as raw tobacco turnover depots,direct-placement material warehouses,open-air stockpiles,semi-finished product warehouses,and finished product warehouses.The intelligent scheduling management model consists of five elements:data collection and analysis,intelligent operations systems,real-time monitoring and feedback,cross-departmental collaborative scheduling,and applications of artificial intelligence technology.The goal is to achieve rational resource allocation and optimized assignment of work tasks,thereby enhancing operational efficiency and accuracy.This methodology holds promise for reducing costs while improving the efficiency of tobacco leaf storage and sales.It could serve as a reference for the design and application of digitalized tobacco leaf warehousing systems.

关 键 词：烟叶仓储数字化 数字信息空间 智能调度 数字孪生 智能作业 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]