现代制造工程 ›› 2025, Vol. 542 ›› Issue (11): 9-20.doi: 10.16731/j.cnki.1671-3133.2025.11.002

• 智能制造 • 上一篇    下一篇

基于数字孪生的自动贴标设备开发及应用*

王林森1, 王存堂1,2, 王海霞1, 刘庆升3, 李东亚1, 陈鑫4, 刘润1, 牛首印5   

  1. 1 苏州大学应用技术学院,苏州 215325;
    2 江苏大学机械工程学院,镇江 212013;
    3 苏州大学机电工程学院,苏州 215137;
    4 爱在工匠智能科技(苏州)有限公司,苏州 215131;
    5 北京华晟经世信息技术股份有限公司,北京 101100
  • 收稿日期:2025-01-21 出版日期:2025-11-18 发布日期:2025-11-27
  • 作者简介:王林森,硕士研究生,主要研究方向为智能制造、数字孪生。王存堂,教授,博士生导师,主要研方向为智能制造、机电一体化。E-mail:1042139956@qq.com
  • 基金资助:
    *江苏省自然科学基金项目(BK20220500);江苏省高校哲学社会科学研究一般项目(2023SJYB1497);苏州大学应用技术学院第四批教学改革研究项目(JG202311)

Development and application of automatic labeling equipment based on digital twin technology

WANG Linsen1, WANG Cuntang1,2, WANG Haixia1, LIU Qingsheng3, LI Dongya1, CHEN Xin4, LIU Run1, NIU Shouyin5   

  1. 1 Applied Technology College, Soochow University, Suzhou 215325, China;
    2 School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China;
    3 School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, China;
    4 Ai Zai Gong Jiang Intelligent Technology (Suzhou) Co., Ltd., Suzhou 215131, China;
    5 Beijing Huatec Information Technology Co., Ltd., Beijing 101100, China
  • Received:2025-01-21 Online:2025-11-18 Published:2025-11-27

摘要: 智改数转是产业链转型升级的新赛道,发展新质生产力的新动能。为解决自动化贴标设备开发成本高、多源数据交互性差、数智化集成度低和人工贴标精度不高等问题,提出基于数字孪生的贴标设备并行式研发模式。通过集成协作机器人、Vision Master(VM)视觉系统、三菱可编程逻辑控制器(Programmable Logic Controller,PLC)控制系统和Visual Components(VC)数字孪生技术,设计并行开发架构,构建高保真数字孪生模型,搭建OPC UA数据通信框架。经VC配置物理层设备、采集层数据和孪生层信号,对设备布局、工艺流程和控制程序进行虚拟调试,实现研发模式精益化、产品贴标精确化和虚实运维数智化。试验结果表明,自动贴标设备使平面产品贴标平均一次性合格率提高了4.3 %。设备孪生数据最大更新时间为131.8 ms。并行式设备研发模式成本降低了18 %,开发周期缩短了26 %,设备故障维修及时率提高了53 %。

关键词: 贴标设备, 数字孪生, 多技术集成, 运行试验

Abstract: The smart transformation and digital upgrading are represented by a new frontier for the transformation and upgrading of industrial chains,as well as being a new dynamic for the development of new high-quality productive forces. A parallel development model for labeling equipment based on digital twin technology was proposed to solve the problems of high development cost,poor interoperability of multi-source data,low degree of digital and intelligent integration,and imprecise of manual labeling. A parallel development architecture was designed and a high-fidelity digital twin model and an OPC UA data interaction framework were established,through the integration of collaborative robots,Vision Master (VM) vision system,Mitsubishi Programmable Logic Controller (PLC) control system,and Visual Components (VC) digital twin technology. The virtual and real mapping of physical layer devices,acquisition layer data,and twin layer signals were configured by VC. The layout,process,and control program of the equipment were virtually debugged. The goals of lean development mode,precise labeling,synchronized virtual and real operation and maintenance,and digital and intelligent transformation were achieved. The experimental results show that the average one-time labeling qualification rate of flat products is improved by 4.3 % using the automatic labeling equipment. The maximum update time of the production line twin data is 131.8 ms. The parallel production line development model reduces costs by 18 %,shortens the development cycle by 26 %,and the timely repair rate of line faults is improved by 53 %.

Key words: labeling equipment, digital twins, multi-technology integration, running test

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