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From BIM Towards Digital Twin: Strategy and Future Development for Smart Asset Management

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 853))

Abstract

With the rising adoption of Building Information Model (BIM) for asset management within architecture, engineering, construction and owner-operated (AECO) sector, BIM-enabled asset management has been increasingly attracting more attentions in both research and practice. This study provides a comprehensive review and analysis of the state-of-the-art latest research and industry standards development that impact upon BIM and asset management within the operations and maintenance (O&M) phase. However, BIM is not always enough in whole-life cycle asset management, especially in the O&M phase. Therefore, a framework for future development of smart asset management is proposed, integrating the concept of Digital Twin (DT). DT integrates artificial intelligence, machine learning and data analytics to create dynamic digital models that are able to learn and update the status of the physical counterpart from multiple sources. The findings will contribute to inspiring novel research ideas and promote widespread adoption of smart DT-enabled asset management within the O&M phase.

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Acknowledgements

The research that contributed to this paper was funded by the EPSRC/Innovate UK Centre for Smart Infrastructure and Construction (CSIC) and Centre for Digital Built Britain (CDBB) at the University of Cambridge.

Author information

Authors and Affiliations

  1. Institute for Manufacturing (IfM), University of Cambridge, Cambridge, CB3 0FS, UK

    Qiuchen Lu, Xiang Xie, James Heaton & Ajith Kumar Parlikad

  2. Cambridge Centre for Smart Infrastructure and Construction (CSIC), University Of Cambridge, Cambridge, CB2 1PZ, UK

    Jennifer Schooling

Authors
  1. Qiuchen Lu
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  2. Xiang Xie
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  3. James Heaton
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  4. Ajith Kumar Parlikad
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  5. Jennifer Schooling
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Corresponding author

Correspondence to Qiuchen Lu .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, UPHF, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal

    Paulo Leitão

  4. Departamento de Sistemas Informàticos y Computación, Universitat Politècnica de València, Valencia, Spain

    Adriana Giret Boggino

  5. Departamento de Sistemas Informàticos y Computación, Universitat Politècnica de València, Valencia, Spain

    Vicente Botti

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Lu, Q., Xie, X., Heaton, J., Parlikad, A.K., Schooling, J. (2020). 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) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_30

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