基于时间序列的高层建筑物沉降预测

Settlement Prediction of High-Rise Buildings Based on Time Series

本文从时间序列的原理出发,详细论述了时间序列的建模步骤,针对时间序列预测精度随预测步数的增加而减小的不足,对时间序列模型进行了改进,建立了动态时间序列模型,并采用MATLAB软件进行编程,最后结合某电厂冷却塔沉降观测数据进行预报,预报结果表明动态时间序列模型能保持较高的预报精度,能较好的描述建筑物的变形规律。

Based on the principle of time series,the paper introduced the steps of building time series model.To improve the shortage of time series prediction accuracy decreasing with the increase of the prediction step,the time series model set up dynamic time series model.By using MATLAB software,the paper predicted the observation data of cooling tower in a power plant.The results showed that the dynamic time series model can maintain high prediction accuracy and describe the deformation law of the building better.