Research on a Digital Twin-Driven Quality Control Framework for Prefabricated Construction of High-Speed Railway Station Buildings

DOI

10.2991/978-94-6239-758-3_78How to use a DOI?

Keywords

Digital twin; high-speed railway station building; prefabricated construction; quality control

Abstract

To improve quality control in prefabricated high-speed railway station construction, this study proposes a digital twin-driven framework integrating physical entities, a virtual model, a quality twin data center, and a service platform. By combining multi-source sensing, digital component archives, process-node association, rule-based reasoning, and threshold warning, the framework supports full-process data integration and closed-loop management from component production to on-site acceptance. The Xiong’an Station building project was used for validation through a hierarchical data acquisition scheme and a multi-level virtual model. Results show that the framework achieved 96.4% anomaly identification accuracy, a 12.7 min average warning response time, and a 97.1% rectification closure rate, outperforming manual and BIM-assisted management. Precision, recall, F1-score, ROC-AUC, and PR-AUC reached 0.962, 0.951, 0.956, 0.985, and 0.979, respectively. Statistical tests and ablation analysis further verified its effectiveness and stability. The framework offers a practical approach for real-time, visualized, traceable, and collaborative quality control in prefabricated construction of high-speed railway station buildings.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rui Wang
PY  - 2026
DA  - 2026/09/08
TI  - Research on a Digital Twin-Driven Quality Control Framework for Prefabricated Construction of High-Speed Railway Station Buildings
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 784
EP  - 793
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_78
DO  - 10.2991/978-94-6239-758-3_78
ID  - Wang2026
ER  -