摘要
针对时间序列自回归(AR)模型在高层建筑物沉降预测中出现的对于历史资料分析和利用不充分的情况,提出了一种基于傅里叶时频分析的沉降预测模型。以桂林市某在建的高层建筑物的沉降变形为例,在分别从时域和频域两个方面充分分析资料的基础上,对建筑物的沉降观测数据进行建模分析,得到了均方误差为0.107 9 mm的预测精度,很好地克服了AR模型在应用中存在的问题,提高了预测精度。
In order to cope with the condition of analyzing and using the historical data inadequate in time series autoregressive（ AR） model for tall building subsidence prediction, a new model depended on Fourier analysis from time and frequency domain was proposed. The subsidence of a tall building in Guilin is the case in our research.On the basis of modeling analysis and observed buildings data from time domain and frequency domain aspects respectively, a high predicted accuracy are acquired that the mean square error is 0. 1079 mm, and the model can overcome the problems in AR model with a practical value and improve the predicted accuracy.
出处
《测绘科学技术学报》
CSCD
北大核心
2015年第2期111-113,119,共4页
Journal of Geomatics Science and Technology
基金
广西高校科学技术研究重点项目(ZD2014062)
关键词
傅里叶分析
时频
AR模型
建筑物沉降
预测
Fourier analysis
time and frequency
AR model
subsidence of buildings
prediction
