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Development of a Building Tool Combining Building Information Modeling and Digital Twin

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Advanced Information Networking and Applications (AINA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 661))

Abstract

Modern building automation systems are subject to major challenges. Their architecture becomes increasingly diversified. Recent developments, such as increased digitization and Internet of Things (IoT) enable new implementation and application opportunities. The provided capabilities increase at every system level starting from more powerful embedded devices over development of more advanced integration concepts and networking solutions to modularization at application level and distribution at edge/cloud level. These changes are tightened on the information modeling level. The main modeling method regarding the generation and management of digital representations of physical and functional characteristics of buildings is referred to Building Information Modeling (BIM). However, new developments in context of Industrie 4.0, such as the Digital Twin (DT) require considerations how both approaches can be combined.

In this paper, we present various use cases in building automation systems that benefit from DT-approach, discuss different architectural approaches that were proposed to implement DT-based systems, and finally describe the tool that implements our approach combining BIM and DT to provide real time information about installed assets in a building in an overview as well as on detailed-level.

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References

  1. ABB: ABB Ability\(^{\text{TM}}\). https://global.abb/topic/ability/en Accessed 03 Nov 2022

  2. Aheleroff, S., Xu, X., Zhong, R.Y., Lu, Y.: Digital twin as a service (DTaaS) in Industry 4.0: an architecture reference model. Adv. Eng. Inf. 47, 101225 (2021). https://doi.org/10.1016/j.aei.2020.101225

  3. Autodesk: a cloud-based developer platform from Autodesk https://forge.autodesk.com/ Accessed 02 Nov 2022

  4. Boyes, H., Watson, T.: Digital twins: an analysis framework and open issues. Comput. Ind. 143 (2022). https://doi.org/10.1016/j.compind.2022.103763

  5. Borrmann, A., König, M., Koch, C., Beetz, J.: Building information modeling - why? What? How?: Technology foundations and industry practice. Book Chapter (2018). https://doi.org/10.1007/978-3-319-92862-3_1

    Article  Google Scholar 

  6. Boss, B., et al.: Digital twin and asset administration shell concepts and application in the industrial internet and industrie 4.0. An industrial internet consortium and plattform industrie 4.0 joint whitepaper (2020). https://www.plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/Digital-Twin-and-Asset-Administration-Shell-Concepts.html

  7. Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P., Stal, M.: Pattern-Oriented Software Architecture: A System of Patterns, Wiley, New York (1996)

    Google Scholar 

  8. Coupry, C., Noblecourt, S., Richard, P., Baudry, D., Bigaud, D.: BIM-based digital twin and XR devices to improve maintenance procedures in smart buildings: a literature review. Appl. Sci. (2021). https://doi.org/10.3390/app11156810

    Article  Google Scholar 

  9. Fedosejev, A.: React.js Essentials: A Fast-Paced Guide to Designing and Building Scalable and Maintainable Web Apps With React.js. Packt Publishing Ltd, Birmingham (2015)

    Google Scholar 

  10. Grieves, M.: Digital twin: Manufacturing Excellence Through Virtual Factory Replication. White paper (2014)

    Google Scholar 

  11. Haße, H., Li, B., Weißenberg, N., Cirullies, J., Otto, B.: Digital twin for real-time data processing in logistics. In: Proceedings of the Hamburg International Conference of Logistics (HICL) (2019). https://doi.org/10.15480/882.2462

  12. Hoffmann, M.W., et al.: Developing industrial CPS: a multi-disciplinary challenge. Sensors 2021(21), 2021 (1991). https://doi.org/10.3390/s21061991

    Article  Google Scholar 

  13. Hosamo, H.H., Svennevig, P.R., Svidt, K., Han, D., Nielsen, H.K.: A digital twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics. Energy Buildings 261 (2022). https://doi.org/10.1016/j.enbuild.2022.111988

  14. Lu, Q., Xie, X., Heaton, J., Parlikad, A.K., Schooling, J.: From BIM towards digital twin: strategy and future development for smart asset management. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds.) SOHOMA 2019. SCI, vol. 853, pp. 392–404. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27477-1_30

    Chapter  Google Scholar 

  15. Lu, Q., et al.: Developing a digital twin at building and city levels: case study of west Cambridge campus. J. Manage. Eng. 36(3) (2020). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000763

  16. Orfali, R., Harkey, D., Edwards, J.: Client/Server Survival Guide, 3 Edn, Wiley, New York (1999)

    Google Scholar 

  17. Reussner, R., Hasselbring, W. (Hrsg.): Handbuch Software-Architektur. Dpunkt Verlag (2006)

    Google Scholar 

  18. Shafto, M., et al.: DRAFT modeling, simulation, information technology & processing roadmap technology area 11. National aeronautics and space administration. https://www.nasa.gov/pdf/501321main_TA11-MSITP-DRAFT-Nov2010-A1.pdf Accessed 18 Oct 2022

  19. Sharma A., Kosasih. E., Zhang, J., Brintrup, A., Calinescu, A.: digital twins: state of the art theory and practice, challenges, and open research questions. J. Ind. Inf. Integr. (2022). https://doi.org/10.1016/j.jii.2022.100383

  20. Tekinerdogan, B., Verdouw, C.: Systems architecture design pattern catalog for developing digital twins. Sensors 20(18), 5103 (2020). https://doi.org/10.3390/s20185103

    Article  Google Scholar 

  21. Xie, X., Lu, Q., Parlikad, A.K., Schooling, J.M.: Digital twin enabled asset anomaly detection for building facility management. In: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST, vol. 53, no. 3 (2020). https://doi.org/10.1016/j.ifacol.2020.11.061

  22. Zheng, P., Sivabalan, A.S.: A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment. Robot. Comput. Integr. Manuf. 64, 101958 (2020). https://doi.org/10.1016/j.rcim.2020.101958

    Article  Google Scholar 

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Acknowledgments

This research is supported by the Federal Ministry for Economic Affairs and Climate Action (BMWK). under grant number 03EN1002D. The responsibility for this publication lies with the authors.

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Authors and Affiliations

  1. ABB Corporate Research Center, Ladenburg, Germany

    Markus Aleksy & Philipp Bauer

Authors
  1. Markus Aleksy
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  2. Philipp Bauer
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Corresponding author

Correspondence to Markus Aleksy .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Aleksy, M., Bauer, P. (2023). Development of a Building Tool Combining Building Information Modeling and Digital Twin. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-29056-5_27

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