Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model

Cite this paper

@article{f5093a45,
title = {Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model},
journal = {Measurement},
volume = {217},
pages = {112955},
year = {2023},
issn = {0263-2241},
doi = {https://doi.org/10.1016/j.measurement.2023.112955},
url = {https://www.sciencedirect.com/science/article/pii/S0263224123005195},
author = {Jinghai Xu and Xin Shu and Peng Qiao and Shanshan Li and Jigang Xu},
keywords = {Real-scene 3D model, Building information model (BIM), Digital twin, Oblique photogrammetry, Structural health monitoring (SHM)},
abstract = {Structural health monitoring (SHM) is a critical component of ensuring the safety of buildings, yet the effective management of sensors and their corresponding monitoring data is complex. Thus, a digital twin health monitoring information model for buildings was proposed to simultaneously locate sensors in space and monitor data. We described the requirements of this process and designed a conceptual model by combining a building information model (BIM) and a real-scene 3D model. The key steps in the fusion process include reconstructing the BIM into sub-BIMs considering building component types and geometric transformations, 3D spatial position registration with a rigid-body transformation method, and semantic information mapping. After the fusion process, monitoring data from sensors are stored in a database management system and integrated with the fused model. A digital twin model of the Nanjing Museum Old Hall was constructed as a case study, which evaluated the fusion method’s feasibility and usability.}
}