A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems
A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems
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DOI：
10.1109/coase.2019.8843269
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发表时间：
2019-08
期刊：
影响因子：
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通讯作者：
Yassine Qamsane;Chien-Ying Chen;Efe C. Balta;Bin-Chou Kao;Sibin Mohan;J. Moyne;D. Tilbury;K. Barton
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文献类型：
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作者：
Yassine Qamsane;Chien-Ying Chen;Efe C. Balta;Bin-Chou Kao;Sibin Mohan;J. Moyne;D. Tilbury;K. Barton
数字孪生 (DT) 是实现智能制造 (SM) 和工业 4.0 改善生产系统运营承诺的关键使能技术之一。在来自互连的网络和物理空间的大量数据的生成和分析的驱动下，DT 是物理系统、流程或产品的实时数字图像，有助于评估和提高业务绩效。本文提出了一种新颖的DT架构，用于大规模SM系统的实时监控和评估。提出了在制造流程中的应用来说明所提出的方法的有用性。
Digital Twin (DT) is one of the key enabling technologies for realizing the promise of Smart Manufacturing (SM) and Industry 4.0 to improve production systems operation. Driven by the generation and analysis of high volume data coming from interconnected cyber and physical spaces, DTs are real-time digital images of physical systems, processes or products that help evaluate and improve business performance. This paper proposes a novel DT architecture for the real-time monitoring and evaluation of large-scale SM systems. An application to a manufacturing flow-shop is presented to illustrate the usefulness of the proposed methodology.