Author
Listed:
- Long He
(Architecture College, Inner Mongolia University of Technology, Hohhot 010051, China
The Key Laboratory of Grassland Habitat System and Low-Carbon Construction Technology, Hohhot 010051, China
Academician Workstation on Regional Architecture Construction, Inner Mongolia University of Technology, Hohhot 010051, China)
- Di Cui
(Architecture College, Inner Mongolia University of Technology, Hohhot 010051, China
The Key Laboratory of Grassland Habitat System and Low-Carbon Construction Technology, Hohhot 010051, China
Academician Workstation on Regional Architecture Construction, Inner Mongolia University of Technology, Hohhot 010051, China)
- Min Gao
(Architecture College, Inner Mongolia University of Technology, Hohhot 010051, China
The Key Laboratory of Grassland Habitat System and Low-Carbon Construction Technology, Hohhot 010051, China
Academician Workstation on Regional Architecture Construction, Inner Mongolia University of Technology, Hohhot 010051, China)
- Minjia Wu
(Architecture College, Inner Mongolia University of Technology, Hohhot 010051, China
The Key Laboratory of Grassland Habitat System and Low-Carbon Construction Technology, Hohhot 010051, China
Academician Workstation on Regional Architecture Construction, Inner Mongolia University of Technology, Hohhot 010051, China)
- Yongjiang Wu
(Architecture College, Inner Mongolia University of Technology, Hohhot 010051, China
The Key Laboratory of Grassland Habitat System and Low-Carbon Construction Technology, Hohhot 010051, China
Academician Workstation on Regional Architecture Construction, Inner Mongolia University of Technology, Hohhot 010051, China)
Abstract
In the context of digital transformation for industrial heritage conservation propelled by China’s National Industrial Heritage Management Measures, evidence regarding the trade-offs among accuracy, completeness, and efficiency within the acquisition–registration–integration pipeline, as well as transferable methodologies, remains inadequate. Addressing key challenges in information integration for industrial architectural heritage in Inner Mongolia—such as fragile media, weak sustainability, and severe information silos—demands a systematic solution. This paper proposes a BIM-based three-dimensional digital preservation framework centered on “Space-Time-Value” and empirically validates its workflow effectiveness and database interoperability. Focusing on the Inner Mongolia University of Technology Architecture Building, a prime exemplar of adaptive reuse in the region, we employed terrestrial 3D laser scanning and Unmanned Aerial Vehicle (UAV) oblique photogrammetry to acquire a 13.8-billion-point cloud. Using Autodesk Revit, we developed an LOD400 model (comprising 12 component types and 349 parametric families), achieving systematic integration of structural data, spatial evolution information, and non-geometric attributes. Comparative evaluation shows that this workflow outperforms baselines in geometric accuracy, facade completeness, and processing efficiency, while significantly enhancing the integration and retrieval capabilities for heterogeneous data. The research establishes a “Multi-source Data Integration + Sustainable Utilization” digital paradigm for industrial architectural heritage, providing a replicable methodology for whole-life-cycle management and adaptive reuse.
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