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卡尔曼滤波在建筑沉降监测数据处理中的应用
引用本文:邓毅.卡尔曼滤波在建筑沉降监测数据处理中的应用[J].安徽地质,2014(3):217-219.
作者姓名:邓毅
作者单位:安徽省地质测绘技术院,安徽合肥,230022
摘    要:卡尔曼滤波作为一种动态数据处理方法已广泛应用于变形监测数据处理中。本文结合合肥市某小区6号楼沉降监测数据,建立相应的卡尔曼滤波模型,通过MATLAB编程实现,成果显示该模型较好的模拟了建筑物沉降的变化规律。

关 键 词:卡尔曼滤波  沉降监测  数据处理  变化规律

KALMAN FILTERING APPLIED IN BUILDING SUBSIDENCE MONITORING DATA PROCESSING
DENG Yi.KALMAN FILTERING APPLIED IN BUILDING SUBSIDENCE MONITORING DATA PROCESSING[J].Geology of Anhui,2014(3):217-219.
Authors:DENG Yi
Institution:DENG Yi (Institute of Geological Surveying and Mapping Technical of Anhui Province, Hefei, Anhui 230022,China)
Abstract:Kalman filtering as a data. This paper, based on mo dynamic nitoring data processing method has been widely data on subsidence of building 6 in a used in deformation monitoring residential area in Hefei City, established a relevant Kalman filtering model realized by MATLAB programming. The result indicated that the model has better simulated the changing pattern of subsidence of a building
Keywords:Kalman filter  subsidence monitoring  data processing  changing pattern
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