Bridging Heritage Knowledge and Digital Models: An HBIM Integration Framework
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| Publicat a: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences vol. X-M-2-2025 (2025), p. 365-373 |
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| Autor principal: | |
| Altres autors: | , , |
| Publicat: |
Copernicus GmbH
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| Accés en línia: | Citation/Abstract Full Text - PDF |
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| 001 | 3253584663 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2194-9042 | ||
| 022 | |a 2194-9050 | ||
| 024 | 7 | |a 10.5194/isprs-annals-X-M-2-2025-365-2025 |2 doi | |
| 035 | |a 3253584663 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 263032 |2 nlm | ||
| 100 | 1 | |a Wang, Xi |u School of Architecture, Tianjin University, NO. 92 Weijin Rd, Nankai District, Tianjin, P. R. China | |
| 245 | 1 | |a Bridging Heritage Knowledge and Digital Models: An HBIM Integration Framework | |
| 260 | |b Copernicus GmbH |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Architectural heritage conservation demands the integration of precise physical documentation and interpretative design knowledge, yet current HBIM approaches remain fragmented: ‘scan-to-BIM’ prioritizes geometric accuracy at the expense of semantic richness, while “rule-based reconstruction” emphasizes idealized logic over as-built evidence. To bridge this gap, this study introduces the KSQI paradigm (Knowledge-Semantics-Quantities-Image), a novel framework that systematically connects domain expertise with digital modelling to balance spatial accuracy and architectural semantics. The research develops an as-recognized modelling or semantic-driven modelling through (1) a conservation cycle-guided information indexing system for semantic-driven knowledge integration, (2) a data-model decoupling workflow that teams from different disciplines maintain their working habits, handling data and models separately, then recoupling data-model by BIM team, and (3) a pattern book tooling solution including check forms for hierarchical investigation, algorithm modelling generator. By linking physical attributes (quantities/images) with design logic (semantics/knowledge), KSQI enhances information management, supports iterative knowledge updates, and facilitates informed conservation decisions. Case studies demonstrate its effectiveness in encoding both as-built conditions and historical, traditional design/construction principles, reinforcing the ‘H’ (history/heritage knowledge) in HBIM. This framework advances heritage documentation toward the smart metric survey, ensuring models serve as dynamic, semantically rich assets for conservation, research, dissemination, and digital twin applications. | |
| 653 | |a Semantics | ||
| 653 | |a Documentation | ||
| 653 | |a Decoupling | ||
| 653 | |a Modelling | ||
| 653 | |a Knowledge | ||
| 653 | |a Conservation | ||
| 653 | |a Digital twins | ||
| 653 | |a Knowledge management | ||
| 653 | |a Knowledge based engineering | ||
| 653 | |a Tooling | ||
| 653 | |a Design | ||
| 653 | |a Geometric accuracy | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Wu, Cong |u School of Architecture, Tianjin University, NO. 92 Weijin Rd, Nankai District, Tianjin, P. R. China | |
| 700 | 1 | |a Zhang, Xiao |u School of Architecture, Tianjin University, NO. 92 Weijin Rd, Nankai District, Tianjin, P. R. China | |
| 700 | 1 | |a Pan, Ruolin |u School of Architecture, Tianjin University, NO. 92 Weijin Rd, Nankai District, Tianjin, P. R. China | |
| 773 | 0 | |t ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |g vol. X-M-2-2025 (2025), p. 365-373 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3253584663/abstract/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3253584663/fulltextPDF/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch |