When BIM Meets MBSE: Building a Semantic Bridge for Infrastructure Data Integration.
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| Title: | When BIM Meets MBSE: Building a Semantic Bridge for Infrastructure Data Integration. |
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| Authors: | Murphy, Joseph, Ji, Siyuan, Dickerson, Charles, Goodier, Chris, Zahiroddiny, Sonia, Thorpe, Tony |
| Source: | Systems; Sep2025, Vol. 13 Issue 9, p770, 25p |
| Subject Terms: | LINKED data (Semantic Web), BUILDING information modeling, SYSTEMS engineering, REGULATORY compliance, DATA integration, INFRASTRUCTURE (Economics), DIGITAL twin, REQUIREMENTS engineering |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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