When BIM Meets MBSE: Building a Semantic Bridge for Infrastructure Data Integration

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Publicado en:Systems vol. 13, no. 9 (2025), p. 770-795
Autor principal: Murphy, Joseph
Otros Autores: Ji Siyuan, Dickerson, Charles, Goodier, Chris, Zahiroddiny Sonia, Thorpe, Tony
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MDPI AG
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100 1 |a Murphy, Joseph  |u Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK; j.h.murphy@lboro.ac.uk (J.M.); c.i.goodier@lboro.ac.uk (C.G.); a.thorpe@lboro.ac.uk (T.T.) 
245 1 |a When BIM Meets MBSE: Building a Semantic Bridge for Infrastructure Data Integration 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The global infrastructure industry is faced with increasing system complexity and requirements driven by the Sustainable Development Goals, technological advancements, and the shift from Industry 4.0 to human-centric 5.0 principles. Coupled with persistent infrastructure investment deficits, these pressures necessitate improved methods for efficient requirements management and validation. While digital twins promise transformative real-time decision-making, reliance on static unstructured data formats inhibits progress. This paper presents a novel framework that integrates Building Information Modelling (BIM) and Model-Based Systems Engineering (MBSE), using Linked Data principles to preserve semantic meaning during information exchange between physical abstractions and requirements. The proposed approach automates a step of compliance validation against regulatory standards explored through a case study, utilising requirements from a high-speed railway station fire safety system and a modified duplex apartment digital model. The workflow (i) digitises static documents into machine-readable MBSE formats, (ii) integrates structured data into dynamic digital models, and (iii) creates foundations for data exchange to enable compliance validation. These findings highlight the framework’s ability to enhance traceability, bridge static and dynamic data gaps, and provide decision-making support in digital twin environments. This study advances the application of Linked Data in infrastructure, enabling broader integration of ontologies required for dynamic decision-making trade-offs. 
610 4 |a National Aeronautics & Space Administration--NASA 
651 4 |a United Kingdom--UK 
653 |a Linked Data 
653 |a Data exchange 
653 |a Model-based systems 
653 |a Industry 4.0 
653 |a Productivity 
653 |a Railway stations 
653 |a Architecture 
653 |a Aerospace industry 
653 |a Data integration 
653 |a Semantic web 
653 |a Aerospace engineering 
653 |a Research & development--R&D 
653 |a Decision making 
653 |a Infrastructure 
653 |a High speed rail 
653 |a Systems engineering 
653 |a Construction 
653 |a Semantics 
653 |a Digital twins 
653 |a Structured data 
653 |a Industrial applications 
653 |a Sustainable development 
653 |a Unstructured data 
653 |a Real time 
653 |a Building information modeling 
653 |a Information management 
700 1 |a Ji Siyuan  |u Wolfson School of MEME, Loughborough University, Loughborough LE11 3TU, UK; c.dickerson@lboro.ac.uk 
700 1 |a Dickerson, Charles  |u Wolfson School of MEME, Loughborough University, Loughborough LE11 3TU, UK; c.dickerson@lboro.ac.uk 
700 1 |a Goodier, Chris  |u Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK; j.h.murphy@lboro.ac.uk (J.M.); c.i.goodier@lboro.ac.uk (C.G.); a.thorpe@lboro.ac.uk (T.T.) 
700 1 |a Zahiroddiny Sonia  |u Digital Engineering, High Speed 2 (HS2) Ltd., Birmingham B4 6GA, UK; sonia.zahiroddiny@hs2.org.uk 
700 1 |a Thorpe, Tony  |u Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK; j.h.murphy@lboro.ac.uk (J.M.); c.i.goodier@lboro.ac.uk (C.G.); a.thorpe@lboro.ac.uk (T.T.) 
773 0 |t Systems  |g vol. 13, no. 9 (2025), p. 770-795 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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