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Federated data modelling for built environment Digital Twins

Lookup NU author(s): Dr Xiang XieORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The Digital Twin (DT) approach is an enabler of data-driven decision making in Architecture, Engineering Constructions and Operations. Various open data models that can potentially supporting the DT developments, at different scales and application domains, can be found in the literature. However, many implementations are based on organisation-specific information management processes and proprietary data models, hindering interoperability. This article presents the process and information management approaches developed to generate a federated open data model supporting DT applications. The Business Process Modelling Notation, Transaction and Interaction modelling techniques are applied to formalise the federated DT data modelling framework, organised in three main phases: requirements definition, federation, validation and improvement. The proposed framework is developed adopting the cross-disciplinary and multi-scale principles. A validation on the development of the federated building-level DT data model for the West Cambridge Campus DT research facility is carried out. The federated data model is used to enable DT-based Asset Management applications at the building and built environment levels.


Publication metadata

Author(s): Moretti N, Xie X, Morino J, Chang J, Parlikad AKN

Publication type: Article

Publication status: Published

Journal: Journal of Computing in Civil Engineering

Year: 2023

Volume: 37

Issue: 4

Print publication date: 01/07/2023

Online publication date: 07/04/2023

Acceptance date: 16/12/2022

Date deposited: 09/11/2023

ISSN (print): 0887-3801

ISSN (electronic): 1943-5487

Publisher: American Society of Civil Engineers

URL: https://doi.org/10.1061/JCCEE5.CPENG-4859

DOI: 10.1061/JCCEE5.CPENG-4859

ePrints DOI: 10.57711/pk8p-z085

Data Access Statement: Some data models used during the study are available in a repository or online in accordance with funder data retention policies. The Industry Foundation Classes data model can be found at https://standards.buildingsmart.org/IFC/RELEASE/IFC4/ADD2_TC1 /HTML/. The BrickSchema can be found at https://brickschema .org/. The description of the Crate data model can be found in Brazauskas et al. (2021). The IFC processing approach is described in Moretti et al. (2020).


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