What Makes the Digital Twin an Ingenious Companion?

被引：17

作者：

Bamberg, Andreas ^{[1
]}

Urbas, Leon ^{[2
]}

Broecker, Soenke ^{[3
]}

Kockmann, Norbert ^{[4
]}

Bortz, Michael ^{[5
]}

机构：

[1] Merck KGaA, Proc Dev, Frankfurter Str 250, D-64293 Darmstadt, Germany

[2] Tech Univ Dresden, AG Syst Verfahrenstech, Helmholtzstr 14, D-01069 Dresden, Germany

[3] Evon Technol & Infrastruct GmbH, Proc Simulat & CFD, Rodenbacher Chaussee 4, D-63457 Hanau, Germany

[4] Tech Univ Dortmund, AG Apparatedesign, Emil Figge Str 68, D-44227 Dortmund, Germany

[5] Fraunhofer ITWM, Abt Optimierung, Fraunhofer Pl 1, D-67663 Kaiserslautern, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2020年 / 92卷 / 03期

关键词：

Asset life cycle; Digital twin; Product process resource model;

D O I：

10.1002/cite.201900168

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In international competition, the digital twin can be a decisive competitive advantage for German industry. This essay addresses characteristics of a digital twin from the user's point of view and is intended to help solution providers to give product development a customer-oriented direction. The different data models that play a role in the life cycles of chemical processes, plants and products are described. In particular for existing (brownfield) plants, essential aspects of the digital twin are formulated. Further characteristics and effects, e.g., on education and training, are derived from this.

引用

页码：192 / 198

页数：7

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