Intelligent perception system and method for earthquake disaster risk of urban large-scale building group

CN122135494APending Publication Date: 2026-06-02YANGTZE NORMAL UNIVERSITY

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: YANGTZE NORMAL UNIVERSITY
Filing Date: 2026-01-16
Publication Date: 2026-06-02

AI Technical Summary

Technical Problem

Existing urban earthquake risk assessment methods fail to effectively characterize the dynamic interactions between building clusters, resulting in assessment results that lack systematicity and authenticity, making it difficult to accurately perceive the earthquake risk of urban building clusters.

Method used

By acquiring information on the geometric properties, structural type, and construction date of buildings, a structured building database is constructed. Combined with benchmark seismic resistance curves and ground motion response spectra, damage probability values are assessed. Taking into account spatial distance and site conditions, the incremental additional damage risk is quantified, and finally, a heat map of the regional earthquake disaster risk distribution is generated.

Benefits of technology

It enables joint assessment of seismic risks in urban building clusters, improves the accuracy of disaster risk perception in large-scale areas, quantifies the risk of interaction between buildings, and enhances the ability to assess disaster spread and superposition effects.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides an intelligent perception system and method for earthquake disaster risk in large-scale urban building complexes. The system compares the baseline seismic resistance curves of each building with the target ground motion intensity parameters in the ground motion response spectrum to obtain the damage probability value of each building. Based on the damage probability values of each building, the spatial distance in the structured building database, and site conditions, the system jointly assesses the interaction between building groups to obtain the additional damage risk increment caused by the presence of surrounding buildings. The system dynamically fuses the individual and group assessment results through the damage probability values and corresponding additional damage risk increments of each building to obtain the damage risk level of each building. Based on all damage risk levels, a regional earthquake disaster risk distribution heat map is generated, thus completing the earthquake disaster risk perception for large-scale urban building complexes. Based on the above scheme, joint assessment of individual and group earthquake risks in urban building complexes can be achieved.

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