Computer Integrated Manufacturing System ›› 2023, Vol. 29 ›› Issue (6): 1916-1929.DOI: 10.13196/j.cims.2023.06.011

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Development of digital twin system for process manufacturing workshop driven by data/model fusion

YIN Yanchao1,LI Wang1+,TANG Jun2,YIN Yanlei1   

  1. 1.Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology
    2.Yunnan China Tobacco Industry Co.,Ltd.
  • Online:2023-06-30 Published:2023-07-11
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.52065033),and the Major Science and Technology Plan of China Tobacco Yunnan Industrial Co.Ltd.,China (No.202202AG050002).

数据—模型融合驱动的流程制造车间数字孪生系统研发

阴艳超1,李旺1+,唐军2,阴彦磊1   

  1. 1.昆明理工大学机电工程学院
    2.云南中烟工业有限责任公司
  • 基金资助:
    国家自然科学基金资助项目(52065033);云南中烟重点科技计划资助项目(202202AG050002)。

Abstract: In view of the serious coupling between processes in the flow manufacturing process,the difficulty of process modeling,low linkage and intelligent level of production activity planning,a multi-dimensional digital twin model of workshop covering the whole variable space of process flow driven by data and model fusion and its system architecture were proposed.By integrating the static model and dynamic data of workshop production,the entity object model of equipment running through different processes in the production process was established.The characteristics of coupling production line entity object were described from geometry,behavior,rules and other dimensions,then the digital accurate mapping of static and dynamic multi-dimensional attributes of process equipment was realized.On this basis,the digital twin system supporting system data interactive mapping workshop which included physical production line,virtual production line and information service was built.Based on OPC UA and Kepware communication technology,the static and dynamic virtual real mapping and iterative operation mechanism weredeveloped that realized the conversion from coupling of workshop physical manufacturing process to coupling ofparameters of each twin.The application verification was carried out based on the silk production test line of a process manufacturing enterprise.It provided a method and realization approach to solve the problem of collaborative interaction and iterative operation caused by the complex coupling of process industry.

Key words: process manufacturing workshop, data-model fusion drive, multi-dimensional digital twin modeling, virtual-real mapping, iterative operation

摘要: 针对流程制造过程工序间耦合严重、过程建模困难、生产活动规划的联动性和智能化水平较低等问题,提出数据与模型融合驱动的、覆盖工艺流程全变量空间的车间多维数字孪生模型及其系统架构。融合车间生产全要素孪生模型与动态生产数据,建立了贯穿生产过程中不同工序的设备实体对象模型,从几何、物理、行为、规则等多个维度对耦合生产线实体对象特征进行刻画,实现了工艺设备静动态多维属性的数字化精准映射。在此基础上,搭建了包括物理产线、虚拟产线、信息服务等支撑多系统数据交互映射的车间数字孪生系统,研发了基于开放平台通信—统一架构(OPC UA)与Kepware的通信技术的静动态虚实映射和迭代运行机制,实现了从车间物理制造流程耦合向各孪生体参数间耦合的转换。最后,基于某流程制造企业制丝生产试验线开展应用验证,为解决流程工业耦合复杂而造成的协同交互与迭代运行难题提供了方法和实现途径。

关键词: 流程制造车间, 数据—模型融合驱动, 多维数字孪生模型, 虚实映射, 迭代运行

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