High-precision building deformation monitoring method, device and system

By constructing a parameter linkage model and using adaptive weighted fusion technology, the problem of sensor response distortion at the measurement range boundary was solved, achieving high-precision and continuous building deformation monitoring and improving the monitoring availability under extreme conditions.

CN122408683APending Publication Date: 2026-07-17TIANJIN XINTAI SURVEYING & MAPPING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN XINTAI SURVEYING & MAPPING CO LTD
Filing Date
2026-05-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-frequency, high-precision real-time monitoring of building deformation caused by dynamic loads, especially periodic and random deformations caused by wind vibration. Sensors exhibit distorted responses at measurement boundaries, resulting in unreliable monitoring data.

Method used

By acquiring historical and real-time deformation parameters and environmental wind data of the target building, a parameter linkage model is constructed. Using historical data from the lower stable region and the upper region to be corrected, the correspondence between deformation parameters at different heights is quantified. Displacement is predicted in real time at the sensor range boundary and adaptive weighted fusion is performed to eliminate data distortion.

Benefits of technology

It achieves high-precision, high-reliability and continuous monitoring of high-rise buildings under dynamic wind loads, significantly improves the availability of monitoring data under extreme conditions, and eliminates data distortion caused by sensor range boundary effects.

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Abstract

本发明公开了一种高度精密建筑变形监测方法、设备及系统,涉及建筑变形监测技术领域,能够解决在动态复杂环境下,如何实现传感器量程边界处失真数据的高精度实时修正的问题,包括:获取目标建筑在多个高度层处的历史变形监测参数和实时变形监测参数,以及目标建筑的历史风力数据和实时风力数据;将历史变形监测参数划分为多个风速等级,并在每个风速等级下构建参数联动模型;在上部待修正区域的位移监测值超出传感器量程阈值的情况下,根据当前风速等级对应的实时变形监测参数以及参数联动模型,确定预测位移值;根据位移监测值相对于传感器量程中点的偏离程度,确定修正系数,并据此对位移监测值和预测位移值进行加权融合,确定最终变形监测值。
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