斜坡演化前兆异常识别的小波分析

Wavelet analysis of slope evolvement auspice abnormality identification

崩滑灾害预测是一个世界性的难题,滑坡和地震一样,都属于非线性系统的失稳,地震前兆信息的识别与提取,并以此作为地震发生时间及震级预报的主要依据,岩石监测数据中很难用肉眼和传统的方法观察出岩石破裂斜坡演化的异常特征,小波分析作为信号处理的强有力数学工具,以其优秀的时频分析能力已经被应用到斜坡演化前兆异常识别中来.小波分析方法识别岩石应力应变和斜坡演化监测信号的前兆异常,得到工程中理想的处理效果,说明小波分析方法对岩石应力应变和斜坡演化监测信号的前兆异常提取是可行的、有效的.

Slide disaster forcast is a worldwide difficulty problem, Earthquake belongs to losing-balance of non-line system,and slide as well. Identification and extraction of earthquake auspice information as the main basis of earthquake happened time and earthquake grade forcast. It is difficulty to observe the abnormal characteristic of rock distortion ＆ slope evolvement signal using the eye and traditional method. Wavelet analysis as the better mathematics implement with the better time and sequence analysis ability applies in identification of slope evolvement. And getting the good engineering result. It proves that wavelet analysis in the auspice abnormality extraction of the rock distortion ＆ the slope evolvement is feasible and effective.