Federated Data Modeling for Built Environment Digital Twins
| Autor: | Moretti, N, Xie, X, Merino Garcia, J, Chang, J, Kumar Parlikad, A |
|---|---|
| Přispěvatelé: | Moretti, N [0000-0002-7197-8677], Xie, X [0000-0003-4601-9519], Kumar Parlikad, A [0000-0001-6214-1739], Apollo - University of Cambridge Repository |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Computing in Civil Engineering. 37 |
| ISSN: | 1943-5487 0887-3801 |
| DOI: | 10.1061/jccee5.cpeng-4859 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|