nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

Data and Data Management in the Context of Digital Twins

verfasst von : Tiziana Margaria, Stephen Ryan

Erschienen in: The Digital Twin

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

With the emergence of Industry 4.0, smart applications and systems are becoming the norm, transforming traditional industries and sectors towards an increasingly data-driven approach. Digital Twin technologies are one of the driving paradigms for the production, integration, sharing and reuse of data. In this context, understanding and mastering the description and formalisation of data as well as its proper, secure, compliant management are crucial for a large-scale adoption of the Digital Twin technology.

We introduce the essential concepts for data, data structures and data management, and examine the importance of specific technologies, like ontologies, for the meaningful description of data and their relationships. We cover the essential modelling layers connected with data in this context, and present selected collaboration platforms for Digital Twin ecosystems in a context of interoperability as envisaged in the Digital Thread.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Demystifying the Digital Twin: Turning Complexity into a Competitive Advantage

Nächstes Kapitel Hybrid Twin: An Intimate Alliance of Knowledge and Data

Bao, Q., Zhao, G., & Yu, Y. (2020). Ontology-based modelling of part digital twin oriented to assembly. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 236(1–2), 16–28. https://doi.org/10.1177/0954405420941160CrossRef

Barth, L. Ehrat, M. Fuchs, R. & Haarmann, J. (2020). ICISS 2020: Systematisation of Digital Twins: Ontology and conceptual framework. In Proceedings of the 2020 The 3rd international conference on information science and system. March 2020 pp. 13–23. https://doi.org/10.1145/3388176.3388209

Bazaz Moghadaszadeh, S., Lohtander, M., & Varis, J. (2020). Availability of Manufacturing data resources in Digital Twin. Procedia Manufacturing, 51, 1125–1131. https://doi.org/10.1016/j.promfg.2020.10.158CrossRef

Berners-Lee, T., & Hendler, J. (2001). Publishing on the semantic web. Nature, 410, 1023–1024. https://doi.org/10.1038/35074206CrossRef

Britan, G., & Mehdi, S. (2009). USAID, Office of Management Policy, Budget and Performance (MPBP). Performance monitoring & evaluation tips data quality standards (No. 12, 2nd ed.) http://transition.usaid.gov/policy/evalweb/documents/TIPS-DataQualityStandards.pdf. Accessed on 10 Jan 2022.

Bundesministerium für Wirtschaft und Technologie. (2011). Theseus Forschungsprogram (in German). Available: https://www.digitale-technologien.de/DT/Redaktion/DE/Downloads/Publikation/theseus-forschungsprogramm-broschuere.pdf?__blob=publicationFile&v=7. Accessed on 10 Jan 2021.

CDBB, Centre for Digital Built Britain. The Gemini Principles. (2018). Cambridge, UK. https://www.cdbb.cam.ac.uk/system/files/documents/TheGeminiPrinciples.pdf. Accessed on 3 Nov 2021.

Chazelle, B., & Guibas, L. J. (1986). Fractional cascading: I. A data structuring technique. Algorithmica, 1, 133–162. https://doi.org/10.1007/BF01840440MathSciNetCrossRefMATH

Chen, X., Jia, S & Xiang, Y. (2020). A Review: Knowledge reasoning over knowledge graph. Expert systems with applications (Vol. 141, p. 112948). College of electronic and information engineering, Tongji University. https://doi.org/10.1016/j.eswa.2019.112948

10.

Confirm: Confirm smart manufacturing – Science Foundation Ireland Research Centre. Homepage: https://confirm.ie/

11.

Conde, J., Munoz-Arcentales, A., Alonso, A., Lopez-Pernas, S., & Salvachua, J. (2021). Modeling Digital Twin data and architecture: A building guide with FIWARE as enabling technology. IEEE Internet Computing, 26(3), 7–14.CrossRef

12.

DAMA. (2021). Mission, vision, purpose and goals, Available: https://www.dama.org/cpages/mission-vision-purpose-and-goals. Accessed on 1 Dec 2021.

13.

Deutsche Welle (DW). (2007). Germany to fund rival to Google search engine, DW. Available https://www.dw.com/en/germany-to-fund-rival-to-google-search-engine/a-2698176. Accessed on 10 Jan 2022.

14.

European Commission. (2007). EU clears state aid for German multimedia search engine project, 20 July 2007. Available https://cordis.europa.eu/article/id/28084-eu-clears-state-aid-for-german-multimedia-search-engine-project. Accessed on 10 Jan 2021.

15.

Go Fair. (2016). How to go FAIR. Available: https://www.go-fair.org/fair-principles/. Accessed on 24 Nov 2021.

16.

Goujard, C. & Cerulus, L. (2021). Inside Gaia-X: How chaos and infighting are killing Europe’s grand cloud project, Politico, 26 Oct 2021. https://www.politico.eu/article/chaos-and-infighting-are-killing-europes-grand-cloud-project/. Accessed on 10 Jan 2022.

17.

Griffith, E. (2018). Available: https://uk.pcmag.com/old-news/118459/90-percent-of-the-big-data-we-generate-is-an-unstructured-mess. Accessed on 03 Nov 2021.

18.

Groger. C. (2021). There Is No AI Without Data, Communications of the ACM. Available: There Is No AI Without Data | November 2021 | Communications of the ACM. Accessed on 3 Nov 2021.

19.

Guarino, N. (1998). Formal ontologies and information systems, In Proceeding 1st International Conference. (FOIS) (pp. 3–15). https://doi.org/10.1109/ACCESS.2020.2989126

20.

Hawkins, O., (n.d.) WPP Open Data 2030. Available: https://www.wpp.com/-/media/project/wpp/images/wpp-iq/pdfs/wpp-data-2030-report.pdf?la=en. Accessed on 30 Oct 2021.

21.

Husáková, M., & Bureš, V. (2020). Formal ontologies in information systems development: A systematic review. Information, 11(2), 66. https://doi.org/10.3390/info11020066CrossRef

22.

Javed, I., Alharbi, F., Margaria, T., Crespi, N., & Qureshi, K. (2021). PETchain: A blockchain-based privacy enhancing technology. IEEE Access, 9, 1–1. https://doi.org/10.1109/ACCESS.2021.3064896CrossRef

23.

Kadner, K., Oberle, D., Schaeffler, M., Horch, A., Kintz, M., Barton, L., Leidig, T., Pedrinaci, C., Domingue, J., Romanelli, M., Trapero, R., & Kutsikos, K. (2011). Unified service description language XG final report. Available: https://www.w3.org/2005/Incubator/usdl/XGR-usdl-20111027/. Accessed on 10 Jan 2022.

24.

Krima, S., Barbau, R., Fiorentini, X., Rachuri, S., & Sriram, R. (2009). OntoSTEP: OWL-DL Ontology for STEP, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD [online]. https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901544. Accessed on 27 Nov 2021.

25.

Kupriyanovsky, V., Pokusaev, O., Klimov, A., Dobrynin, A., Lazutkina, V., & Potapov, I. (2016). BIM on the world’s railways – development, examples, and standards. International Journal of open Information technologies, 8(5), 57–80. Available: http://injoit.org/index.php/j1/article/view/934

26.

Liu, M., Fang, S., Dong. H and Xu. C (2021) Review of digital twin about concepts, technologies, and industrial applications: Journal of Manufacturing Systems, 58Part B, 346–361, ISSN 0278-6125, https://doi.org/10.1016/j.jmsy.2020.06.017.

27.

Margaria, T., & Schieweck, A. (2019). The Digital Thread in Industry 4.0. In Proceeding IFM 2019, 15th International Conference on Integrated Formal Methods December 2019, Proceedings. https://doi.org/10.1007/978-3-030-34968-4_1

28.

Margaria, T., Chaudhary, H. A. A., Guevara, I., Ryan, S., & Schieweck, A. (2021). The interoperability challenge: Building a model-driven digital thread platform for CPS. In Proceeding ISoLA 2021, international symposium on leveraging applications of formal methods, verification and validation. LNCS (Vol. 13036, pp. 393–441). Springer.

29.

Market Research (2020) Digital twin market research report. Available: https://www.marketsandmarkets.com/Market-Reports/digital-twin-market-225269522.html. Accessed 29 Oct 2021.

30.

Meierhofer, J. & West, S. (2019). Service value creation using a digital twin. In Naples forum of service, service dominant logic, Network and systems theory and service science. Integrating three perspectives for a new service agenda, Ischia (pp. 4–7) June 2019. https://doi.org/10.1109/SDS49233.2020.00019

31.

Minerva, R., Lee, G. M., & Crespi, N.. (2020). Digital Twin in the IoT context: A survey on technical features, scenarios, and architectural models. In Proceedings of the IEEE (pp. 1–40). 10.1109/JPROC.2020.2998530

32.

Minerva, R., Awan, F. & Crespi, N. (2021). Exploiting Digital Twins as enablers for synthetic sensing. Available: https://www.researchgate.net/publication/348409194_Exploiting_Digital_Twins_as_enablers_for_Synthetic_Sensing

33.

Minerva, R., Crespi, N., Farahnakhsh, R., & Aqan, F. M. (this volume). Artificial intelligence and the Digital Twin. Progression from data to knowledge. In N. Crespi, A. T. Drobot, & R. Minerva (Eds.), The Digital Twin. Springer.

34.

Noy, N. F. & McGuinness, D. L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology (KSL-01-05), Technical report, Stanford Knowledge Systems Laboratory.

35.

Nyffenegger, F., Hänggi, R., & Reisch, A. (2018). A reference model for PLM in the area of digitization. IFIP Advances in Information and Communication Technology, 358–366. https://doi.org/10.1007/978-3-030-01614-2_33

36.

Ploennigs, J., Hensel, B., Dibowski, H., & Kabitzsch, K. (2012). BASont – A modular, adaptive building automation system ontology, In IECON 2012 – 38th Annual Conference on IEEE Industrial Electronics Society (pp. 4827–4833). 10.1109/IECON.2012.6389583

37.

Reynolds, P. (2021) HSE breach latest in spider’s web of cyber-attacks. Available: https://www.rte.ie/news/2021/0516/1222004-cyber-attack-health/. Accessed on 2 Nov 2021.

38.

Ryan, S., Margaria, T. (2021). Definition, description and formalisation of Digital Twin Data structures. In 37th international manufacturing conference, Irish Manufacturing Council, September 2021.

39.

Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP Annals, 66(1), 141–144. https://doi.org/10.1016/j.cirp.2017.04.040CrossRef

40.

Schmitt, L., & Copps, D. (this volume). Chapter Two. The business of Digital Twins. In N. Crespi, A. T. Drobot, & R. Minerva (Eds.), The Digital Twin. Springer.

41.

Schroeder, G. N., Steinmetz, C., Pereira, C. E., & Espindola, D. B. (2016). Digital twin data modeling with automationML and a communication methodology for data exchange. IFAC-PapersOnLine. 2016;49(30):12-17

42.

Schweiger, L., Barth, L., & Meierhofer, J. (2020). Data resources to create Digital Twins. In 2020 7th Swiss Conference on Data Science (SDS) (pp. 55–56). 10.1109/SDS49233.2020.00020

43.

Sile. (2021). Silicon Economy. Retrieved January 2, 2022. Available from https://www.silicon-economy.com/en/homepage/

44.

Singh, S., Shehab, E., Higgins, N., Fowler, K., Reynolds, D., Erkoyuncu, J. A., & Gadd, P. (2021). Data management for developing digital twin ontology model. Proceedings of the Institution of Mechanical Engineers, Part B. Journal of Engineering Manufacture, 235(14), 2323–2337. https://doi.org/10.1177/0954405420978117CrossRef

45.

Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S. C.-Y., & Nee, A. Y. C. (2019). Digital twin-driven product design framework. International Journal of Production Research, 57(12), 3935–3953. https://doi.org/10.1080/00207543.2018.1443229CrossRef

46.

WPP Report. (2020). Annual report 2020. Available: https://www.wpp.com/investors/annual-report-2020. Accessed 27 Oct 2021.

47.

Hartig, O., & Pérez, J. (2018). Semantics and Complexity of GraphQL. Proceedings of the 2018 World Wide Web Conference.

Titel: Data and Data Management in the Context of Digital Twins
verfasst von: Tiziana Margaria
Stephen Ryan
Verlag: Springer International Publishing
Buch: The Digital Twin
Print ISBN: 978-3-031-21342-7

Electronic ISBN: 978-3-031-21343-4

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-21343-4_10

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner