High-rise building subsidence prediction method and system based on time-series insar

CN122408697APending Publication Date: 2026-07-17JINZHIXIN CONSTRUCTION GROUP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JINZHIXIN CONSTRUCTION GROUP CO LTD
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the monitoring of settlement of high-rise buildings, the existing technology of time-series InSAR data processing methods cannot accurately reflect the overall settlement trend and local differences of the building, and the identification of the scope of influence is unreasonable, resulting in inaccurate prediction results.

Method used

By acquiring spatial extent information of high-rise buildings and temporal InSAR settlement observation results, a buffer zone is constructed, candidate observation points are extracted, time variation intensity index is calculated, projected onto the main direction of the building, a local representative sequence is generated, differential settlement correction term is calculated, observation points are screened and supplemented, a settlement influence domain is generated, and finally settlement prediction is performed.

Benefits of technology

It enables accurate expression and prediction of settlement of high-rise buildings, reflects the overall settlement trend and local differences of buildings, rationally determines the scope of settlement influence, and improves the accuracy and stability of prediction.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及沉降预测技术领域,尤指基于时序InSAR的高层建筑沉降预测方法及系统,其中方法包括:获取目标高层建筑的空间范围信息以及其所在区域的时序InSAR沉降观测结果,构建缓冲区并提取候选观测点,计算时间变化强度指标,按投影坐标将建筑轮廓及其缓冲区划分为多个分带,生成每个分带的局部代表序列,基于局部代表序列计算差异沉降修正项和建筑沉降表征序列;计算每一个候选观测点的沉降序列与建筑沉降表征序列的时间一致性得分,计算候选观测点的点级影响程度,对候选观测点进行层内筛选和扇区补齐后,进行连通拓展生成目标高层建筑的沉降影响域点集,基于沉降增量、点级影响程度以及建筑沉降表征序列计算沉降预测值。
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