Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture

Han Li; Jinzhi Lu; Xiaochen Zheng; Guoxin Wang; Dimitris Kiritsis

doi:10.1007/978-3-030-85910-7_24

Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture

Han Li
, Jinzhi Lu
, Xiaochen Zheng
, Guoxin Wang^*
, Dimitris Kiritsis

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Digital twin (DT) provides a solution for supporting the interconnection between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to support the DT integration. The semantic modeling approach based on Graph-Object-Property-Point-Role-Relationship (GOPPRR) meta-meta models is used to realize the integrated formalisms of heterogeneous DTs. HLA is used to support interface definition and service integration between virtual entities of DT. Finally, a case of an unmanned aerial vehicle (UAV) landing on ship is used to verify the flexibility of this approach. From the results, we find the GOPPRR ontology and HLA specification enables to provide a unified formalism of the DTs of UAV and the ship, and to implement data exchange during the distributed simulation execution.

Original language	English
Title of host publication	Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
Editors	Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	228-236
Number of pages	9
ISBN (Print)	9783030859091
DOIs	https://doi.org/10.1007/978-3-030-85910-7_24
Publication status	Published - 2021
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France Duration: 5 Sept 2021 → 9 Sept 2021

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	633 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Country/Territory	France
City	Nantes
Period	5/09/21 → 9/09/21

Keywords

Digital Twin
Distributed Simulation
Ontology
Semantic Model

Access to Document

10.1007/978-3-030-85910-7_24

Cite this

Li, H., Lu, J., Zheng, X., Wang, G., & Kiritsis, D. (2021). Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. In A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings (pp. 228-236). (IFIP Advances in Information and Communication Technology; Vol. 633 IFIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85910-7_24

Li, Han ; Lu, Jinzhi ; Zheng, Xiaochen et al. / Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. editor / Alexandre Dolgui ; Alain Bernard ; David Lemoine ; Gregor von Cieminski ; David Romero. Springer Science and Business Media Deutschland GmbH, 2021. pp. 228-236 (IFIP Advances in Information and Communication Technology).

@inproceedings{0112e0cedcec4337822229437fb6e5bd,

title = "Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture",

abstract = "Digital twin (DT) provides a solution for supporting the interconnection between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to support the DT integration. The semantic modeling approach based on Graph-Object-Property-Point-Role-Relationship (GOPPRR) meta-meta models is used to realize the integrated formalisms of heterogeneous DTs. HLA is used to support interface definition and service integration between virtual entities of DT. Finally, a case of an unmanned aerial vehicle (UAV) landing on ship is used to verify the flexibility of this approach. From the results, we find the GOPPRR ontology and HLA specification enables to provide a unified formalism of the DTs of UAV and the ship, and to implement data exchange during the distributed simulation execution.",

keywords = "Digital Twin, Distributed Simulation, Ontology, Semantic Model",

author = "Han Li and Jinzhi Lu and Xiaochen Zheng and Guoxin Wang and Dimitris Kiritsis",

note = "Publisher Copyright: {\textcopyright} 2021, IFIP International Federation for Information Processing.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 ; Conference date: 05-09-2021 Through 09-09-2021",

year = "2021",

doi = "10.1007/978-3-030-85910-7\_24",

language = "English",

isbn = "9783030859091",

series = "IFIP Advances in Information and Communication Technology",

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pages = "228--236",

editor = "Alexandre Dolgui and Alain Bernard and David Lemoine and \{von Cieminski\}, Gregor and David Romero",

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}

Li, H, Lu, J, Zheng, X, Wang, G & Kiritsis, D 2021, Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. in A Dolgui, A Bernard, D Lemoine, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. IFIP Advances in Information and Communication Technology, vol. 633 IFIP, Springer Science and Business Media Deutschland GmbH, pp. 228-236, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021, Nantes, France, 5/09/21. https://doi.org/10.1007/978-3-030-85910-7_24

Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. / Li, Han; Lu, Jinzhi; Zheng, Xiaochen et al.
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. ed. / Alexandre Dolgui; Alain Bernard; David Lemoine; Gregor von Cieminski; David Romero. Springer Science and Business Media Deutschland GmbH, 2021. p. 228-236 (IFIP Advances in Information and Communication Technology; Vol. 633 IFIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture

AU - Li, Han

AU - Lu, Jinzhi

AU - Zheng, Xiaochen

AU - Wang, Guoxin

AU - Kiritsis, Dimitris

PY - 2021

Y1 - 2021

N2 - Digital twin (DT) provides a solution for supporting the interconnection between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to support the DT integration. The semantic modeling approach based on Graph-Object-Property-Point-Role-Relationship (GOPPRR) meta-meta models is used to realize the integrated formalisms of heterogeneous DTs. HLA is used to support interface definition and service integration between virtual entities of DT. Finally, a case of an unmanned aerial vehicle (UAV) landing on ship is used to verify the flexibility of this approach. From the results, we find the GOPPRR ontology and HLA specification enables to provide a unified formalism of the DTs of UAV and the ship, and to implement data exchange during the distributed simulation execution.

AB - Digital twin (DT) provides a solution for supporting the interconnection between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to support the DT integration. The semantic modeling approach based on Graph-Object-Property-Point-Role-Relationship (GOPPRR) meta-meta models is used to realize the integrated formalisms of heterogeneous DTs. HLA is used to support interface definition and service integration between virtual entities of DT. Finally, a case of an unmanned aerial vehicle (UAV) landing on ship is used to verify the flexibility of this approach. From the results, we find the GOPPRR ontology and HLA specification enables to provide a unified formalism of the DTs of UAV and the ship, and to implement data exchange during the distributed simulation execution.

KW - Digital Twin

KW - Distributed Simulation

KW - Ontology

KW - Semantic Model

UR - https://www.scopus.com/pages/publications/85115205049

U2 - 10.1007/978-3-030-85910-7_24

DO - 10.1007/978-3-030-85910-7_24

M3 - Conference contribution

AN - SCOPUS:85115205049

SN - 9783030859091

T3 - IFIP Advances in Information and Communication Technology

SP - 228

EP - 236

BT - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings

A2 - Dolgui, Alexandre

A2 - Bernard, Alain

A2 - Lemoine, David

A2 - von Cieminski, Gregor

A2 - Romero, David

PB - Springer Science and Business Media Deutschland GmbH

T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021

Y2 - 5 September 2021 through 9 September 2021

ER -

Li H, Lu J, Zheng X, Wang G, Kiritsis D. Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. In Dolgui A, Bernard A, Lemoine D, von Cieminski G, Romero D, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 228-236. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-85910-7_24

Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture

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