Based On Wavelet Transformation And Grey Theory Side Slope Distortion Analysis

Along with the national economy continually development and west the big development strategy implementation, our country began successively or has completed many large-scale and the extra large type engineering project, on the one hand these big-scale works to sped up the national economy construction, raise the lives of the people level, the maintenance society sustainable development extremely vital role; At the same time, because the massive grounds excavate, form many project side slopes, if has not carried on the government or the government to the side slope is insufficient, must be able to cause the massive side slope project.After many year research, the practice, to the distortion observation data analysis, processing, has at present formed a set of maturer theory system, has established the rich tendency fitting and the forecast forecast model, like return model, Kalman filtering model, time series model (ARMA), artificial neural networks model, wavelet theory as well as pessimistic model and so on.The wavelet analysis has the multi-resolution characteristic, both has the attribute signal partial characteristic ability in the time frequency two territories; The grey system theory is attenuates the primitive sequence through the production transformation randomness, turns the random sequence has the gauge sequence, can effectively carry on the forecast to the production sequence. Establishes the non-equal-space GM(1,1) model with this side slope government process actual monitor data sequence, to governs after the strained condition to carry on the forecast.