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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。
By studying and analyzing building deformation monitoring data, we can understand the settlement regularity of building foundation in time and predict its deformation trend, prevent it from possible advance and reduce the loss caused by building deformation. In the course of monitoring data analysis, the wavelet analysis and the gray GM (1,1) model have their own advantages. The article combines the two methods to build the wavelet gray prediction model and applies it to the building deformation monitoring. Through the actual case analysis, It is proved that the application of wavelet gray prediction model is feasible and effective and can obtain high prediction accuracy. It can be used in data processing and prediction of building deformation monitoring.