基于数字孪生的离散制造车间生产仿真及现场性能分析

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2020-12-14 DOI:10.1109/IEEM45057.2020.9309928

Yufan Zhang, Yaoqi Shao, Junfeng Wang, Shiqi Li

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引用次数: 0

摘要

为了推动离散制造系统的生产绩效分析，考虑到在线生产的特点，如何实现从实体车间到虚拟车间的准确、快速映射已成为人们普遍关注的问题。提出了一个用于生产性能分析的数字孪生模型框架，并详细说明了各个模块在物理空间和虚拟空间中的功能。提出了离散制造车间仿真模型映射方案，将完整的仿真模型分为数据模型、逻辑模型和可视化模型，并详细阐述了模型映射和融合的全过程。以某机械零件制造车间为例，验证了仿真模型映射方法的有效性和基于实际数据的生产绩效分析的有效性。

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Digital Twin-based Production Simulation of Discrete Manufacturing Shop-floor for Onsite Performance Analysis

In order to drive production performance analysis of discrete manufacturing system, it has become a widespread concern to realize accurate and rapid mapping from physical shop-floors to virtual shop-floors considering the characteristics of online production. A digital twin model framework for production performance analysis is proposed and details the function of each module in physical space and virtual space. A simulation model mapping scheme for discrete manufacturing shop-floors is presented and a complete simulation model is divided into a data model, a logic model and a visualization model, where the whole process of model mapping and fusion is elaborated. The case study of mechanical parts manufacturing workshop is carried out and the results show that the effectiveness of the simulation model mapping method and timely production performance analysis based on real data.

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来源期刊

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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