Steel structure building construction whole process mechanical property evaluation method based on digital twinning

By combining a digital twin model with a multi-dimensional sensor network, the construction process of steel structure buildings can be monitored and analyzed in real time. This solves the problem of lagging mechanical performance evaluation in existing technologies, enables real-time and accurate safety risk assessment and construction process optimization, and improves the risk management capabilities of the construction process.

CN121563014AActive Publication Date: 2026-02-24中建三局集团西北有限公司 +1
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Patent Information

Application Number
CN202610080762.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-02-24
Estimated Expiration
2046-01-21

AI Technical Summary

Technical Problem

Existing technologies lack the ability to dynamically map the structural mechanical performance of tall steel structures in real time, resulting in delayed safety assessments and a lack of effective risk warnings and decision support during construction, making it difficult to achieve early warning and dynamic control of construction risks.

Method used

A digital twin model is established, combined with real-time monitoring by a multi-dimensional sensor network. The model parameters are updated through dynamic data fusion algorithms and abnormal state identification algorithms to generate real-time visualized diagnostic results and quantitative assessments of safety risks. The intelligent analysis model is then invoked for collaborative analysis to generate construction process optimization decisions and build a data-driven closed-loop management mechanism.

Benefits of technology

It enables real-time and accurate mapping of mechanical properties during the construction of steel structures, improves the timeliness and reliability of structural safety status monitoring, can autonomously identify abnormal mechanical behavior and quantify potential risks, generate specific construction adjustment decisions, and enhances construction risk management capabilities and the scientific nature of operations.

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Abstract

The invention relates to the technical field of building construction monitoring, and discloses a method for evaluating mechanical properties of a steel structure building construction whole process based on digital twinning. The method comprises the steps of establishing a digital twin model fusing multi-source information, and performing real-time linkage with a sensor network arranged on site. Collected data such as deformation, temperature and wind speed are processed through dynamic fusion and an anomaly recognition algorithm, model parameters are continuously corrected, and real-time dynamic high-fidelity mapping of the mechanical state in the construction process is achieved. And based on the updated model, the intelligent analysis module performs cooperative calculation, autonomously identifies construction abnormity, quantitatively predicts potential risks, generates a process optimization decision instruction and feeds back the process optimization decision instruction to a site. According to the method, a closed-loop regulation and control mechanism from data perception, model analysis to decision execution is constructed, and accurate online evaluation of construction mechanical properties and active prediction control of safety risks are realized.
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