面向生产性能数字孪生的仿真数据映射研究

doi:10.16182/j.issn1004731x.joss.20-0506

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (10): 2470-2477.doi: 10.16182/j.issn1004731x.joss.20-0506

• 仿真支撑平台/系统技术 • 上一篇下一篇

面向生产性能数字孪生的仿真数据映射研究

王峻峰, 张玉帆, 邵瑶琪, 李世其

华中科技大学机械科学与工程学院,湖北武汉 430074

收稿日期:2020-07-20 修回日期:2020-10-21 出版日期:2021-10-18 发布日期:2021-10-18
作者简介:王峻峰(1970-),男,博士,教授,博导,研究方向为复杂系统建模仿真、增强现实及其制造应用、人机交互与协作等。E-mail：wangjf@mail.hust.edu.cn
基金资助:
装备预研基金(61409230103); 国防基础科研项目(JCKY2016204A502)

Research on Simulation Data Mapping for Production Performance Digital Twin

Wang Junfeng, Zhang Yufan, Shao Yaoqi, Li Shiqi

Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Received:2020-07-20 Revised:2020-10-21 Online:2021-10-18 Published:2021-10-18

摘要/Abstract

摘要： 为充分利用物理车间的实时数据,实现数据从物理车间精确映射到虚拟车间、驱动制造系统仿真与优化,提出面向生产性能数字孪生仿真的数据映射方法。从仿真数据建模、存储和更新3个方面分析了仿真数据与生产逻辑模型的融合过程;针对制造系统生产性能仿真需求,对原始生产现场样本数据进行了冗余分析、异常分析与剔除、统计与拟合等预处理;给出机器设备及在制品仿真数据的实时映射更新过程,驱动生产性能数字孪生的仿真运行、生产性能分析和优化。以制造车间为例,说明了该方法的应用过程,证实了仿真数据映射方法的可行性和有效性。

关键词: 数字孪生, 生产性能, 建模仿真, 数据映射

Abstract: To fully use the real-time data of the physical workshop to realize the accurate mapping of the data to the virtual workshop and drive the simulation and optimization of the manufacturing system, a data mapping method for the digital twin simulation of production performance is proposed. The fusion process of simulation data and production logic model is analyzed from the aspects of simulation data modeling, storage and updating. Focusing on the production performance simulation requirements, the redundancy analysis, outlier analysis and elimination, statistics and fitting of the original production site sample data is preprocessed. The real-time mapping update process of the simulation data of machine equipment and WIP is given in detail, and the simulation operation, production performance analysis and optimization of the digital twin of production performance are driven. The application process of the approach is showed by a case of a manufacturing workshop, which verifies the feasibility and effectiveness of the simulation data mapping method.

Key words: digital twin, production performance, modeling and simulation, data mapping

中图分类号:

TP391.9

王峻峰, 张玉帆, 邵瑶琪, 李世其. 面向生产性能数字孪生的仿真数据映射研究[J]. 系统仿真学报, 2021, 33(10): 2470-2477.

Wang Junfeng, Zhang Yufan, Shao Yaoqi, Li Shiqi. Research on Simulation Data Mapping for Production Performance Digital Twin[J]. Journal of System Simulation, 2021, 33(10): 2470-2477.

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面向生产性能数字孪生的仿真数据映射研究

Research on Simulation Data Mapping for Production Performance Digital Twin

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