抗差卡尔曼滤波在聊城古建筑动态数据处理中的应用  

The application of robust estimate of Kalman filtering in dynamic-data processing of Liaocheng ancient architecture

作　　者：李希峰[1] 田鹏[2] 马雪梅[3] 

机构地区：[1]聊城大学建筑工程学院,山东聊城252059 [2]北京市信息资源管理中心,北京100082 [3]聊城大学环境与规划学院,山东聊城252059

出　　处：《测绘科学》2009年第3期223-225,208,共4页Science of Surveying and Mapping

摘　　要：古建筑在日照、风压等因素的影响下,易产生老化变形,一般会采用及时补救的方法,有时并没有分析其根本原因,本文在布设动态监控网,获得监控数据后,用抗差卡尔曼滤波对监控数据进行分析的方法,对变形方向进行预测,预测值与平差值的误差均在限差范围内,且变化方向大致相同,可以将它作为古建筑变形方向的预报,做到防患于未然。Because of external factors , such as sunlight or wind pressure ; Ancient architecture may form distortion , we may adopt remedial measure quickly, don＇ t analysis the real reason, In this paper , we set dynamic control network. , obtain monitor data, analysis monitor data by robust estimate of Kalman filtering, forcast the direction of data. The orientation of forecast number and adjustment number is very anastomotic , they are all in the dimension of permit . the result can be forecasted deformation direction of ancient architecture, we can forcast the tendency of deformation.

关 键 词：古建筑 抗差卡尔曼滤波 动态数据 

分 类 号：P258[天文地球—测绘科学与技术]