›› 2021, Vol. 27 ›› Issue (2): 352-363.DOI: 10.13196/j.cims.2021.02.004

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Research and implementation of digital twin workshop based on real-time data driven

  

  • Online:2021-02-28 Published:2021-02-28
  • Supported by:
    Project supported by the Comprehensive Standardization and New Mode Application Project of Intelligent Manufacturing in 2018,China,and the Technology and Industry for National Defense,China(No.JCKY2019210B005).

基于实时数据驱动的数字孪生车间研究及实现

魏一雄1,2,郭磊1,2,陈亮希1,2,张红旗1,2,胡祥涛3+,周红桥1,2,李广1,2   

  1. 1.中国电子科技集团公司第三十八研究所
    2.安徽省技术标准创新基地(智能设计与制造 智慧院所 军民融合)
    3.安徽大学电气工程与自动化学院
  • 基金资助:
    2018年智能制造综合标准化与新模式应用项目;国家国防科技工业局资助项目(JCKY2019210B005)。

Abstract: With the requirements of real-time visual monitoring,health management and fault diagnosis of the intelligent workshop,the framework and route of digital twin workshop based on real-time date driven were proposed.A modular and generalized digital twin workshop system was constructed by setting up a virtual simulation environment for high-fidelity mapping of real physical behavior and adopting the data management method for event response.Furthermore,the key technologies such as heterogeneous multi-source data acquisition and management,virtual simulation environment of real physical behavior,and real-time data-driven method for event response were elaborated in detail.The prototype system was designed,and its feasibility was successfully verified by the vehicle radar workshop,which provided a key support for the application of digital twinning technology in the field of intelligent manufacturing.

Key words: digital twin, data driven, high-fidelity mapping, event response, intelligent workshop

摘要: 为满足智能车间生产状态实时可视化监控、健康管理、故障诊断等需求,提出一种基于实时数据驱动的数字孪生车间体系架构与技术路线。通过搭建面向真实物理行为高保真映射的虚拟仿真环境,采用面向事件响应的数据管理方法构建模块化、通用化的数字孪生车间系统。在此基础上,详细阐述了异构多源数据的采集与管理、真实物理行为的虚拟仿真环境、面向事件响应的数据实时驱动方法等关键技术。设计了原型系统,并通过车载防撞雷达组装生产线成功验证其可行性,为数字孪生技术在智能制造领域的应用提供了关键支撑。

关键词: 数字孪生, 数据驱动, 高保真映射, 事件响应, 智能车间

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