extended-abstract

Architectural aspects of digital twins in IIoT systems

Authors:

Somayeh Malakuti,

Sten GrünerAuthors Info & Claims

ECSA '18: Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings

Article No.: 12, Pages 1 - 2

https://doi.org/10.1145/3241403.3241417

Published: 24 September 2018 Publication History

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Abstract

Industrial Internet of Things (IIoT) systems enable the connectivity of numerous devices, which are heterogeneous in terms of their interfaces and supported protocols, into one system to derive more intelligent actions from data. Digital Twins are a key enabler for IIoT systems, which allow the acquisition, access, and exchange of far greater variety of data than today and previously unseen interoperability out of the box. This paper elaborates on the definitions of digital twins, their role in IIoT systems and the necessary architectural decisions that software/system architects have to make to design digital twins.

References

[1]

A. Parrott and L. Warshaw. 2018. Industry 4.0 and the digital twin: Manufacturing meets its match, Deloitte University Press

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[2]

Platform Industrie 4.0. 2016. Structure of the Administration Shell

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Boeding MHempel MSharif H(2025)End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoTFuture Internet10.3390/fi1701003417:1(34)Online publication date: 14-Jan-2025
https://doi.org/10.3390/fi17010034
Hasan MMustofa RHossain NIslam M(2025)Smart Health Practices: Strategies to Improve Healthcare Efficiency through Digital Twin TechnologySmart Health10.1016/j.smhl.2025.100541(100541)Online publication date: Feb-2025
https://doi.org/10.1016/j.smhl.2025.100541
Azeez HSharbaf MZamani BKolahdouz-Rahimi S(2024)Applying Pattern Language to Enhance IIoT System Design and Integration: From Theory to PracticeInformation10.3390/info1510059515:10(595)Online publication date: 30-Sep-2024
https://doi.org/10.3390/info15100595
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Index Terms

Architectural aspects of digital twins in IIoT systems
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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Published In

ECSA '18: Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings

September 2018

325 pages

ISBN:9781450364836

DOI:10.1145/3241403

General Chair:
Jennifer Pérez
Universidad Politécnica de Madrid, Spain
,
Program Chairs:
Raffaela Mirandola
Politecnico di Milano, Italy
,
Hong-Mei Chen
University of Hawaii at Manoa, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2018

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ECSA '18

ECSA '18: 12th European Conference on Software Architecture

September 24 - 28, 2018

Madrid, Spain

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Overall Acceptance Rate 48 of 72 submissions, 67%

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Cited By

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Boeding MHempel MSharif H(2025)End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoTFuture Internet10.3390/fi1701003417:1(34)Online publication date: 14-Jan-2025
https://doi.org/10.3390/fi17010034
Hasan MMustofa RHossain NIslam M(2025)Smart Health Practices: Strategies to Improve Healthcare Efficiency through Digital Twin TechnologySmart Health10.1016/j.smhl.2025.100541(100541)Online publication date: Feb-2025
https://doi.org/10.1016/j.smhl.2025.100541
Azeez HSharbaf MZamani BKolahdouz-Rahimi S(2024)Applying Pattern Language to Enhance IIoT System Design and Integration: From Theory to PracticeInformation10.3390/info1510059515:10(595)Online publication date: 30-Sep-2024
https://doi.org/10.3390/info15100595
Lampropoulos GLarrucea XColomo-Palacios R(2024)Digital Twins in Critical InfrastructureInformation10.3390/info1508045415:8(454)Online publication date: 1-Aug-2024
https://doi.org/10.3390/info15080454
Golovan AMateichyk VGritsuk ILavrov ASmieszek MHoncharuk IVolska O(2024)Enhancing Information Exchange in Ship Maintenance through Digital Twins and IoT: A Comprehensive FrameworkComputers10.3390/computers1310026113:10(261)Online publication date: 11-Oct-2024
https://doi.org/10.3390/computers13100261
Heusel MGrim GRauhut JFranzreb M(2024)Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration ProcessBioengineering10.3390/bioengineering1103021211:3(212)Online publication date: 23-Feb-2024
https://doi.org/10.3390/bioengineering11030212
Iliuţă MMoisescu MPop EIonita ACaramihai SMitulescu T(2024)Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various FieldsApplied Sciences10.3390/app1413545414:13(5454)Online publication date: 24-Jun-2024
https://doi.org/10.3390/app14135454
Fernandes AGutierres DFugihara MDe Norman B(2024)Port Management Digital Twin and Control Tower Integration: An Approach to Support Real-Time Decision Making2024 Winter Simulation Conference (WSC)10.1109/WSC63780.2024.10838965(2821-2831)Online publication date: 15-Dec-2024
https://doi.org/10.1109/WSC63780.2024.10838965
Stegmaier VEberhardt TJazdi NWeyrich M(2024)Quantitative Evaluation of Automated Behavior Model Creation for Applications of Industrial AutomationProcedia CIRP10.1016/j.procir.2024.10.247130(1327-1333)Online publication date: 2024
https://doi.org/10.1016/j.procir.2024.10.247
Acharya SKhan APäivärinta T(2024)Interoperability levels and challenges of digital twins in cyber–physical systemsJournal of Industrial Information Integration10.1016/j.jii.2024.10071442(100714)Online publication date: Nov-2024
https://doi.org/10.1016/j.jii.2024.100714
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Recommendations

Interoperable Digital Twins in IIoT Systems by Transformation of Information Models: A Case Study with Asset Administration Shell

Industrial IoT lifecycle via digital twins

Digital Twins for IoT Security Management

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