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.
出处
《测绘科学》
CSCD
北大核心
2009年第3期223-225,208,共4页
Science of Surveying and Mapping
关键词
古建筑
抗差卡尔曼滤波
动态数据
ancient architecture
robust estimate of Kalman fihering
dynamic data
