摘要
针对建筑物变形监测的数据处理问题,本文基于Matlab提出了几种拟合模型对所得的沉降数据进行分析、预测。本文以某高层建筑物变形监测数据为例,经基准点检查和三点修匀法对原始数据处理以后,通过模型预测分析得出高层建筑物沉降特征与规律。实验结果表明,使用指数函数模型拟合出的实际效果能够更加准确地分析高层建筑物的沉降变形。
Aiming at the data processing problem of building deformation monitoring,this paper puts forward several fitting models on the basis of Matlab to analyze and predict the obtained settlement data.In this paper,the deformation monitoring data of a high-rise building is taken as an example.After the original data is processed by the reference point inspection and the three-point smoothing method,the characteristics and laws of the settlement of the high-rise building are obtained through model prediction and analysis.The experimental results show that the actual effect fitted by the exponential function model can more accurately analyze the settlement of high-rise buildings.
作者
李晋儒
宋成航
刘冠杰
LI Jinru;SONG Chenghang;LIU Guanjie(School of Surveying and Mapping Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《测绘与空间地理信息》
2021年第9期205-208,210,共5页
Geomatics & Spatial Information Technology
关键词
高层建筑物
沉降监测
回归分析
数据处理
high-rise buildings
settlement monitoring
regression analysis
data processing
