Towards a semantic Construction Digital Twin: Directions for future research
К семантическому цифровому двойнику строительства: направления будущих исследований
2020-03-27
SCID: 54.1/jj6dkgjz
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Building Information ModellingConstruction Digital Twincyber-physical data flowssemantic modelssensor networks
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Abstract (AI)
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.
Key Findings
1
A scalable semantic approach is required to integrate dynamic data across multiple levels of construction and built-environment systems.
2
BIM lacks semantic completeness for control systems, sensor networks, social systems, and urban artefacts beyond buildings.
3
Construction Digital Twins should extend BIM with holistic, socio-technical, process-oriented representations of built-asset systems.
4
Digital Twins leverage synchronized bidirectional cyber-physical data flows to support monitoring, simulation, optimization, and lifecycle impact reduction.
5
The paper reviews BIM applications during construction, identifies limitations and requirements, and defines Construction Digital Twin research themes and future directions.
Research Object
Construction Digital Twin (semantic Construction Digital Twin for the Architecture, Engineering and Construction sector)
Research Subject
the semantic, holistic, scalable representation and management of dynamic cyber-physical data across construction processes and built-asset lifecycles
Publication Details
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2020-03-27
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