Landslide displacement sudden change identification method based on wavelet analysis
A technology of displacement mutation and identification method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of few research results and single research methods.
Inactive Publication Date: 2015-04-01
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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In the field of landslide disaster prediction and prediction, wavelet analysis has just begun to attract the attention of relevant experts and scholars at home and abroad. Its research method is single, research results are few, and there are obvious limitations.
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[0031] Such as figure 1 As shown, a landslide displacement mutation identification method based on wavelet analysis, combined with the principle of wavelet multi-resolution analysis and mutation point identification, the basic steps of the wavelet mutation point identification method are summarized as follows:
[0032] (1) Obtain the real-time cumulative displacement monitoring signal of the landslide through on-site displacement monitoring;
[0033] (2) Carry out piecewise linear interpolation processing to the landslide cumulative displacement signal;
[0034] (3) Select a wavelet basis function that satisfies regular conditions, such as bior1.1 wavelet or db5 wavelet, and perform wavelet multi-scale decomposition and reconstruction on the interpolated landslide displacement signal to obtain high-frequency wavelet coefficients on multiple scales;
[0035] (4) Analyze the variation characteristics of high-frequency wavelet coefficients on different scales, and calculate the ...
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The invention discloses a landslide displacement sudden change identification method based on wavelet analysis. The method comprises the steps that (1) a landslide real-time accumulation displacement signal is obtained through onsite monitoring; (2) the accumulation displacement signal is subject to piecewise linear interpolation processing; (3) the processed displacement signal is subject to wavelet multi-scale decomposition and reconstruction, and a high-frequency wavelet coefficient under multi-scale is obtained; (4) the change features of the high-frequency wavelet coefficient are analyzed, and the model maximum value of the change features is calculated; (5) the occurrence time of the sudden change of the landslide body is determined. The landslide displacement sudden change identification method can reasonably judge the deformation stage of the landslide, can identify the sudden change point of the landslide entering the accelerated deformation stage especially, and has very fundamental significance in timely capturing landslide premonition, carrying out landslide warning as early as possible and performing engineering treatment.
Description
technical field [0001] The invention belongs to a landslide disaster prediction method, in particular to a landslide displacement mutation recognition method based on wavelet analysis. Background technique [0002] At present, there are not many research results on the identification of the sudden change point of the landslide entering the accelerated deformation stage. There are mainly two traditional identification methods: one is to combine the deformation monitoring data of the landslide with the macroscopic geological analysis and the stages of slope deformation and failure phenomena. Comprehensive qualitative judgment; the other is based on the time series data of landslide cumulative displacement monitoring after filtering, and quantitative judgment based on the change characteristics of deformation rate. The first method varies from person to person and is too subjective; the second method is only applicable to the ideal landslide deformation situation where the land...
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IPC IPC(8): G06F19/00
Inventor 李秀珍孔纪名崔云
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI