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The International Journal of Advanced Manufacturing Technology
Published in: The International Journal of Advanced Manufacturing Technology 3-4/2020

12-03-2020 | ORIGINAL ARTICLE

Information modeling for cyber-physical production system based on digital twin and AutomationML

Authors: Haijun Zhang, Qiong Yan, Zhenghua Wen

Published in: The International Journal of Advanced Manufacturing Technology | Issue 3-4/2020

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Abstract

Production systems play an important role in intelligent manufacturing. A large number of manufacturing resources are designed and developed with virtual (digital) ones, which will be associated with the physical ones throughout their lifecycle. With the recent emergence of information and communications technologies (ICTs), such as internet of things, big data, virtual reality, artificial intelligence, and 5G, the interconnection and interaction between physical resources and virtual ones become possible in production systems. Digital twin (DT) shows great potential to realize the cyber-physical production system (CPPS) in the era of Industry 4.0. In this paper, we present our vision on integrating various physical resources into CPPS via DT and AutomationML. To elaborate on how to apply ICTs, this paper firstly explores a generic architecture of CPPS based on DT. DT is a virtual and authoritative representation of physical manufacturing resource, since DT includes various models and manufacturing big data of resource. The proposed architecture is illustrated in detail as follows: (1) physical layer, (2) network layer, (3) virtual layer, and (4) application layer. A case of expert fault diagnose for aircraft engine is presented using the proposed information fusion in the architecture. Secondly, this paper proposes an approach of information modeling for CPPS based on AutomationML. Various manufacturing services can be encapsulated and defined in the standardized format (AutomationML), and then the corresponding virtual manufacturing resources (DTs) will be integrated into CPPS. Finally, this paper describes a case of information modeling for blisk machining and demonstrates the modeling approach in real-life scenarios for support manufacturing resource sharing via DT. Furthermore, the conclusion and further work is briefly summarized.
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Metadata
Title
Information modeling for cyber-physical production system based on digital twin and AutomationML
Authors
Haijun Zhang
Qiong Yan
Zhenghua Wen
Publication date
12-03-2020
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 3-4/2020
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05056-9

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