现代制造工程 ›› 2025, Vol. 536 ›› Issue (5): 34-41.doi: 10.16731/j.cnki.1671-3133.2025.05.005

• 智能制造 • 上一篇    下一篇

面向数字孪生的物流仓储管理系统设计与开发*

李建勋, 李明万, 信婷婷   

  1. 西安理工大学经济与管理学院,西安 710054
  • 收稿日期:2024-05-17 出版日期:2025-05-18 发布日期:2025-05-30
  • 作者简介:李建勋,博士生导师,教授,主要研究方向为数字孪生。李明万,博士研究生,主要研究方向为数字孪生。E-mail:1753382298@qq.com
  • 基金资助:
    *陕西省自然科学基金项目(105-425321005)

Design and development of logistics warehouse management system based on digital twin

LI Jianxun, LI Mingwan, XIN Tingting   

  1. School of Economics and Management,Xi’an University of Technology,Xi’an 710054,China
  • Received:2024-05-17 Online:2025-05-18 Published:2025-05-30

摘要: 鉴于当下物流仓储管理系统功能种类欠缺、人机交互度低、信息传输不及时、仓库整体情况难以把控以及操作便捷度低等问题,难以对物流仓储系统状态进行实时掌控与干预。基于此,从构建数字孪生模型的角度出发,从4个层面构造了智能物流仓储管理数字孪生模型,通过Solid Works和3Ds MAX等软件构造了仓储组件三维模型、对仓储中运输设备进行运动逻辑建模,利用Unity 3D可视化软件和C#编程语言对数字孪生物流仓储管理系统进行了开发,系统实现了物流仓储可视化、数据可视化、场景漫游及碰撞预警等预期功能。期望能为智能物流仓储行业向数智化转型提供建议,为相关领域与行业的数字孪生模型标准体系构建提供参考。

关键词: 物流仓储, 数字孪生, 数据可视化, 数智化转型

Abstract: In view of the lack of functional types of the current logistics warehousing management system,low human-computer interaction,information transmission is not timely,the overall situation of the warehouse is difficult to control,low ease of operation,it is difficult to carry out real-time control and intervention of the status of the logistics warehousing system. Based on this,from the perspective of digital twin model construction,it constructs the digital twin model of intelligent logistics and warehousing management from four levels,constructs the three-dimensional model of warehousing components through software such as SolidWorks and 3Ds MAX,and carries out the motion logic modeling of transportation equipment in warehousing. By using Unity 3D visualization software and C# programming language,the digital twin logistics warehousing visualization system was developed,and the system realized the expected functions of logistics warehousing visualization,data visualization,scene roaming,collision warning and so on. It is expected that relevant work can provide suggestions for the transformation of intelligent logistics and warehousing industry to digital intelligence,and provide references for the construction of digital twin model standard system in related fields and industries.

Key words: logistics warehousing, digital twins, data visualization, digital and intelligent transformation

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