Research on Key Technologies for a Digital Twin-Driven Structural Monitoring Platform

ZHAO Wenbo; ZHENG Haoran; GUO Xiao; WU Jingshu; BAI Xiaobin; CUI Shuaihua; ZHANG Fan

doi:10.3724/j.gyjzG26032902

Volume 56 Issue 7

Jul. 2026

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2026 > 56(7): 296-306

ZHAO Wenbo, ZHENG Haoran, GUO Xiao, WU Jingshu, BAI Xiaobin, CUI Shuaihua, ZHANG Fan. Research on Key Technologies for a Digital Twin-Driven Structural Monitoring Platform[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(7): 296-306. doi: 10.3724/j.gyjzG26032902

Citation:

ZHAO Wenbo, ZHENG Haoran, GUO Xiao, WU Jingshu, BAI Xiaobin, CUI Shuaihua, ZHANG Fan. Research on Key Technologies for a Digital Twin-Driven Structural Monitoring Platform[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(7): 296-306. doi: 10.3724/j.gyjzG26032902

Citation:

ZHAO Wenbo, ZHENG Haoran, GUO Xiao, WU Jingshu, BAI Xiaobin, CUI Shuaihua, ZHANG Fan. Research on Key Technologies for a Digital Twin-Driven Structural Monitoring Platform[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(7): 296-306. doi: 10.3724/j.gyjzG26032902

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Research on Key Technologies for a Digital Twin-Driven Structural Monitoring Platform

doi: 10.3724/j.gyjzG26032902

1. Central Research Institute of Building and Construction Co., Ltd., MCC Group, Beijing 100088, China;
2. School of Civil Engineering, North China University of Technology, Beijing 100144, China;
3. Inspection and Certification Co., Ltd., MCC, Beijing 100088, China

Received Date: 2026-03-29
Available Online: 2026-08-31
Publish Date: 2026-07-20

Abstract

Abstract

Traditional monitoring platforms suffer from several critical limitations， including poor adaptability， non-standardized data formats， and insufficient mining and analysis of operational data. To address these issues， this paper proposes a structural monitoring platform architecture that features strong adaptability， rapid development support， and low-cost deployment. Adopting a standardized design approach， this paper elaborates on the implementation paths of key technologies， including data ingestion and cleaning， multidimensional data analysis， AI-assisted trend recognition， and the comparison and selection of lightweight 3D rendering engines. Practical application in a national-level cultural heritage monitoring project demonstrates that the proposed platform architecture can achieve real-time monitoring， intelligent analysis， and visual interaction in complex building scenarios.
- digital twin,
- structural monitoring,
- 3D visualization,
- AI-assisted analysis,
- data standardization

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References(13)

References

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