小波分析的灰色预测模型在建筑物变形监测中的应用

Application of grey prediction model based on wavelet analysis in building deformation monitoring

通过研究分析建筑物变形监测资料,可及时了解建筑物地基的沉降规律,并预测其变形趋势,为可能出现的变形提前做好预防,降低由建筑物变形造成的损失。在监测数据分析过程中,小波分析与灰色GM(1,1)模型各有其优势,文章将两种方法相结合建立小波灰色预测模型,并应用于建筑物变形监测中,通过实际案例分析,证明小波灰色预测模型应用具有较高可行性和有效性,可得到较高的预测精度,可用于建筑物变形监测数据处理和预测。

through the research and analysis of deformation monitoring data, timely understanding of settlement of building foundation ,and to predict the deformation trend of deformation may occur in advance to prevent, reduce the losses caused by the deformation of buildings. In the data analysis process, wavelet analysis and grey GM （1,1）model has its own advantages, the combination of the two methods based on wavelet gray prediction model and application in building deformation monitoring, through the analysis of actual case, wavelet gray prediction has high feasibility and effectiveness of the model application, can obtain higher prediction accuracy, can be for monitoring data processing and deformation prediction of buildings.