Skip to main content

Intelligent Data Sharing in Digital Twins: Positioning Paper

  • Conference paper
  • First Online:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 158))

  • 805 Accesses

Abstract

Digital Twins are an important innovation that will power the next generation of smart devices in many different contexts. Currently, scientific literature does not agree on what exactly constitutes a Digital Twin. Rather than adding another definition to an already long list, we analyze the current literature on Digital Twins, and attempt to relate the many different definitions of Digital Twins to each other, identifying not only the similarities, but also differences in what different companies and researchers view as a Digital Twin. We also discuss some of the key technologies that enable the creation of Digital Twins (DTs). Using the insights from these sections, we propose a new line of research and development, focusing on areas that are not currently represented in DT literature. Finally, we discuss the merits as well as flaws of our classification of DTs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://docs.microsoft.com/en-us/previous-versions/azure/digital-twins/concepts-objectmodel-spatialgraph.

References

  1. Lu, Y., Liu, C., Wang, K.I.-K., Huang, H., Xu, X.: Digital twin-driven smart manufacturing: connotation, reference model, applications and research issues. Robot. Comput.-Integr. Manuf. 61, 101837 (2020). http://www.sciencedirect.com/science/article/pii/S0736584519302480

    Article  Google Scholar 

  2. Negri, E., Fumagalli, L., Macchi, M.: A review of the roles of digital twin in CPS-based production systems. Procedia Manuf. 11, 939–948 (2017). 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, 27–30 June 2017, Modena, Italy. http://www.sciencedirect.com/science/article/pii/S2351978917304067

    Article  Google Scholar 

  3. Qi, Q., Tao, F., Zuo, Y., Zhao, D.: Digital twin service towards smart manufacturing. Procedia CIRP 72, 237–242 (2018). 51st CIRP Conference on Manufacturing Systems. http://www.sciencedirect.com/science/article/pii/S2212827118302580

    Article  Google Scholar 

  4. Uhlemann, T.H.-J., Lehmann, C., Steinhilper, R.: The digital twin: realizing the cyber-physical production system for industry 4.0. Procedia CIRP 61, 335–340 (2017). the 24th CIRP Conference on Life Cycle Engineering. http://www.sciencedirect.com/science/article/pii/S2212827116313129

    Article  Google Scholar 

  5. National Research Council: NASA Space Technology Roadmaps and Priorities: Restoring NASA’s Technological Edge and Paving the Way for a New Era in Space. The National Academies Press, Washington, DC (2012). https://www.nap.edu/catalog/13354/nasa-space-technology-roadmaps-and-priorities-restoring-nasas-technological-edge

  6. Rosen, R., von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015). 15th IFAC Symposium on Information Control Problems in Manufacturing. http://www.sciencedirect.com/science/article/pii/S2405896315003808

    Article  Google Scholar 

  7. Alam, K.M., El Saddik, A.: C2PS: a digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access 5, 2050–2062 (2017)

    Article  Google Scholar 

  8. Lund, A.M., Mochel, K., Lin, J.-W., Onetto, R., Srinivasan, J., Gregg, P., Bergman, J.E., Hartling, K.D., Ahmed, A., Chotai, S., et al.: Digital twin interface for operating wind farms. Patent, Patent No.: US9995278B2 (2015). https://patents.google.com/patent/US9995278B2/

  9. Schleich, B., Anwer, N., Mathieu, L., Wartzack, S.: Shaping the digital twin for design and production engineering. CIRP Ann. 66(1), 141–144 (2017). http://www.sciencedirect.com/science/article/pii/S0007850617300409

    Article  Google Scholar 

  10. Zheng, Y., Yang, S., Cheng, H.: An application framework of digital twin and its case study. J. Ambient Intell. Humanized Comput. 10(3), 1141–1153 (2019). https://doi.org/10.1007/s12652-018-0911-3

    Article  Google Scholar 

  11. White, F.E.: Data Fusion Lexicon. Technical report 0704 (1991). https://apps.dtic.mil/dtic/tr/fulltext/u2/a529661.pdf

  12. Balemans, D., Casteels, W., Vanneste, S., de Hoog, J., Mercelis, S., Hellinckx, P.: Resource efficient sensor fusion by knowledge-based network pruning. Internet Things 11, 100231 (2020). https://doi.org/10.1016/j.iot.2020.100231

    Article  Google Scholar 

  13. Meng, T., Jing, X., Yan, Z., Pedrycz, W.: A survey on machine learning for data fusion. Inf. Fusion 57(2), 115–129 (2020). https://doi.org/10.1016/j.inffus.2019.12.001

    Article  Google Scholar 

  14. Ehrlinger, L., Wöß, W.: Towards a definition of knowledge graphs. In: SEMANTiCS (2016)

    Google Scholar 

  15. Geisler, S., Quix, C., Weber, S., Jarke, M.: Ontology-based data quality management for data streams. J. Data Inf. Qual. 7(4) (2016). https://doi.org/10.1145/2968332

  16. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94 (2018). https://link.springer.com/article/10.1007/s00170-017-0233-1

  17. Beck, K., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R.C., Mellor, S., Schwaber, K., Sutherland, J., Thomas, D.: Manifesto for Agile Software Development (2001). http://agilemanifesto.org/

  18. Microsoft: What is azure digital twins? (2020). azure Digital Twins Overview. https://docs.microsoft.com/en-us/azure/digital-twins/overview

  19. Microsoft: Digital twins definition language (DTDL) (2020). gitHub Repository. https://github.com/Azure/opendigitaltwins-dtdl/blob/master/DTDL/v2/dtdlv2.md

  20. Kellogg, G., Champin, P.-A., Longley, D.: Json-ld 1.1 – a json-based serialization for linked data. Technical report (2020). https://hal-lara.archives-ouvertes.fr/hal-02141614/

  21. Vanneste, S., de Hoog, J., Huybrechts, T., Bosmans, S., Eyckerman, R., Sharif, M., Mercelis, S., Hellinckx, P., Vanneste, S., de Hoog, J., Huybrechts, T., Bosmans, S., Eyckerman, R., Sharif, M., Mercelis, S., Hellinckx, P.: Distributed uniform streaming framework: an elastic fog computing platform for event stream processing and platform transparency. Future Internet 11(7), 158 (2019). https://www.mdpi.com/1999-5903/11/7/158

    Article  Google Scholar 

Download references

Acknowledgements

This work was performed within the SSAVE (Shared Situational Awareness for VEssels) - project. The project was realised with the financial support of Flanders Innovation & Entrepreneurship (VLAIO) and the Blue Cluster.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Cassimon .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cassimon, T., de Hoog, J., Anwar, A., Mercelis, S., Hellinckx, P. (2021). Intelligent Data Sharing in Digital Twins: Positioning Paper. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61105-7_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61104-0

  • Online ISBN: 978-3-030-61105-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics