安徽地质Issue(3)：217-219,3.
卡尔曼滤波在建筑沉降监测数据处理中的应用
KALMAN FILTERING APPLIED IN BUILDING SUBSIDENCE MONITORING DATA PROCESSING
邓毅1
作者信息
- 1. 安徽省地质测绘技术院，安徽合肥 230022
- 折叠
摘要
Abstract
Kalman filtering as a dynamic data processing method has been widely used in deformation monitoring data. This paper, based on monitoring data on subsidence of building 6 in a 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.关键词
卡尔曼滤波/沉降监测/数据处理/变化规律Key words
Kalman filter/subsidence monitoring/data processing/changing pattern分类
信息技术与安全科学引用本文复制引用
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):217-219,3.
