自回归模型在变形监测中的应用  

Application of autoregressive model in deformation monitoring

作　　者：胡圣武[1] 杨旭锋 苗林光 HU Shengwu;YANG Xufeng;MIAO Linguang(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo Henan 454000,China)

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454000

出　　处：《北京测绘》2022年第12期1680-1683,共4页Beijing Surveying and Mapping

基　　金：国家自然科学基金委员会—河南省人才培养联合基金(U1304401)。

摘　　要：为了准确地对变形监测进行预报,得到科学的监测结果,本文利用自回归模型和最小二乘估计以及矩阵实验室(MATLAB)对变形监测数据进行处理。通过实际工程分析得到如下结论:①自回归模型用于变形监测可得到比较科学的结论;②对于不同的变形监测数据,如何选择自回归模型p是一个亟须解决的问题。本研究的结论可为变形监测数据处理提供一定的参考。In order to accurately predict the deformation and get scientific monitoring results,the autoregressive model,least square estimation and MATLAB were applied to process the deformation monitoring data.The following conclusions were obtained through practical engineering analysis:①The autoregressive model could be used in deformation monitoring to get a scientific conclusion;②For different deformation monitoring data,how to choose the autoregressive Model P was a key problem to be solved.The conclusion of this study could provide reference for deformation monitoring data processing.

关 键 词：自回归模型 自回归模型阶数 变形监测 矩阵实验室 最小二乘估计 

分 类 号：P258[天文地球—测绘科学与技术]