4.7 Review

Towards a semantic Construction Digital Twin: Directions for future research

期刊

AUTOMATION IN CONSTRUCTION
卷 114, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.autcon.2020.103179

关键词

Digital Twin; BIM; Review; Industry Foundation Classes (IFC); Internet of Things (IoT); Framework; Artificial Intelligence (AI); Big data; Construction safety; Construction site

资金

  1. Fonds National de la Recherche Luxembourg
  2. Agence Nationale de la Recherche France [11237662 (LU)/ANR-16-CE10-0006-01 (FR)]
  3. EPSRC [EP/T019514/1] Funding Source: UKRI

向作者/读者索取更多资源

As the Architecture, Engineering and Construction sector is embracing the digital age, the processes involved in the design, construction and operation of built assets are more and more influenced by technologies dealing with value-added monitoring of data from sensor networks, management of this data in secure and resilient storage systems underpinned by semantic models, as well as the simulation and optimisation of engineering systems. Aside from enhancing the efficiency of the value chain, such information-intensive models and associated technologies play a decisive role in minimising the lifecycle impacts of our buildings. While Building Information Modelling provides procedures, technologies and data schemas enabling a standardised semantic representation of building components and systems, the concept of a Digital Twin conveys a more holistic socio-technical and process-oriented characterisation of the complex artefacts involved by leveraging the synchronicity of the cyber-physical bi-directional data flows. Moreover, BIM lacks semantic completeness in areas such as control systems, including sensor networks, social systems, and urban artefacts beyond the scope of buildings, thus requiring a holistic, scalable semantic approach that factors in dynamic data at different levels. The paper reviews the multi-faceted applications of BIM during the construction stage and highlights limits and requirements, paving the way to the concept of a Construction Digital Twin. A definition of such a concept is then given, described in terms of underpinning research themes, while elaborating on areas for future research.

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