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基于时间序列分析的桥梁变形监测预报研究
引用本文:刘娜,栾元重,黄晓阳,王建波. 基于时间序列分析的桥梁变形监测预报研究[J]. 测绘科学, 2011, 36(6): 46-48
作者姓名:刘娜  栾元重  黄晓阳  王建波
作者单位:1. 重庆地矿测绘院,重庆,400042
2. 山东科技大学测绘科学与工程学院,山东青岛,266510
3. 中钢集团山 东矿业有限公司,山东苍山,277700
基金项目:山东省自然科学基金(ZR2009EM002)
摘    要:时间序列分析方法对短期建筑物变形预报具有较高的模型拟合及预报精度.本文从时间序列预测算法原理出发,阐述了使用此方法对所获得的桥梁变形监测数据进行模式识别、模型建立及预报的过程,并利用MATLAB实现了编程代码.通过对某桥梁变形监测预报的应用表明,该方法实用性较强,可以及早为桥梁变形做出预警,以避免或减少灾害的发生..

关 键 词:时间序列分析  桥梁变形监测  变形预报  MATLAB

Bridge deformation monitoring and forecasting based on time series analysis
LIU Na,LUAN Yuan-zhong,HUANG Xiao-yang,WANG Jian-bo. Bridge deformation monitoring and forecasting based on time series analysis[J]. Science of Surveying and Mapping, 2011, 36(6): 46-48
Authors:LIU Na  LUAN Yuan-zhong  HUANG Xiao-yang  WANG Jian-bo
Affiliation:③(①Surveying and Mapping Institute of Chongqing,Chongqing 400042,China;②Geomatics College,Shandong University of Science and Technology,Shandong Qingdao 266510,China;③China Steel Group Shandong Mining Co.,LTD,Shandong Cangshan 277700,China)
Abstract:The method of time series analysis has a high model fitting and forecast accuracy to deformation prediction of short-term.This paper started with time series forecasting algorithm principle,described the process of obtained on the bridge deformation monitoring data pattern recognition,modeling and forecasting in this method,and achieved the programming code by MATLAB.Proved by application,this method could provide a reference to using time series analysis on bridge deformation forecast of short-term.
Keywords:time series analysis  bridge deformation monitoring  deformation prediction  MATLAB
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