串联式组合模型在基坑监测中的应用

在传统模型基础上提出串联式组合模型,选择灰色模型对基坑监测数据的趋势项进行拟合,时间序列模型对监测数据的随机项进行拟合,发挥两者自身的特点,进行有机地组合预测分析。通过工程实例预测结果分析表明:串联式组合模型不仅能够预测出基坑的变形趋势,而且相对于时间序列模型、灰色模型有着较好的预测精度,体现出将串联式灰色时间序列组合模型应用于基坑监测的合理性和有效性。

Application of Serial Combination Model in Foundation Pit Monitoring

Based on the traditional model, a series combination mode is proposed. The grey model is selected to fit the trend item of the monitoring data of the foundation pit. The time series model is used to fit the random items of the monitoring data. Taking advantage of their own characteristics, an organic combination forecasting analysis is carried out. Through the analysis of engineering example prediction results, it shows that the series combination model not only can predict the deformation trend of the foundation pit, but also has a better prediction precision relative to the time series model and the grey model. It shows the rationality and validity of applying the series grey time series combination model to foundation pit monitoring.