Process Digital Twin and Its Application in Petrochemical Industry

Libing Gao, Mengda Jia, Dongqing Liu
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引用次数: 3

Abstract

Digital twin (DT) is drawing significant attention both from the academia, industry and government. However, people from different fields have different understandings and cognitions about DT. In addition, most of the DT application scenarios discussed belong to discrete manufacturing and are not suitable for process manufacturing. Petrochemical industry is a typical process manufacturing with multi-scale hierarchical and functional structure in space and time. This contribution focuses on topics on the application of DT in petrochemical industry including: 1) The specific DT definition by process industry. 2) The three key elements and design of chemical DT. 3) Features and application scenarios of chemical DT from the view of model precision, model scale and asset life cycle. 4) The Four P’s maturity framework of chemical DT, and 5) Prospects for the development of chemical DT.
过程数字孪生及其在石化工业中的应用
数字孪生(Digital twin, DT)正受到学术界、工业界和政府的高度关注。然而,不同领域的人对DT有着不同的理解和认知。此外,所讨论的DT应用场景大多属于离散制造,不适合过程制造。石化工业是典型的过程制造业,在空间和时间上具有多尺度的层次结构和功能结构。本论文重点讨论了DT在石化行业中的应用,包括:1)过程工业中DT的具体定义。2)化工DT的三个关键要素及设计。3)从模型精度、模型规模和资产生命周期角度分析化工DT的特点和应用场景。4)化学DT的4p成熟度框架;5)化学DT的发展前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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