A Study On Intelligentized Methods Of Slope Monitoring And Prediction

The slope engineering is a rock and soil engineering item of seeing anywhere and high risk. The safeties of human being's lives and possessions are relative to the steady status of slopes, and sometimes even the development of the economy and society of the whole nation. In this paper, the slope monitoring methods and prediction and forecasting intelligentized methods are primary researched.At first, the slope monitoring methods are discussed and analyzed in detail. The traditional slope monitoring methods sometimes cannot real-time gain the useful information. Therefore, the integrated monitoring technology design of multi-parameter and multi-test-point is put forward. That is, an apparatus in monitoring locale can connect many sensors and gain the information of many parameters, then transmit the dates to the monitor center for analyzing and forecasting by a wireless transmit technology.Secondly, the multifarious methods of analyzing and forecasting for the gathered dates are investigated in this paper, including the pretreatment methods, analysis process and prediction methods. The slope monitoring is a method of obtaining dates, but how to achieving the laws of the dates and how to forecasting the statuses of the slope by the analyzed dates are more important aspects. The pretreatment methods for the dates such as curve fitting, trend superposition, Kalman filter and wavelet filter are put forward in this paper. By the different kinds and properties of the monitor dates, we can analyze them by such methods of multi- element linearity recursive analysis, non-linear recursive analysis, exponential smoothness, AR model, MA model, ARMA model, SETAR model, non-linear dynamics model, non-linear chaos model, gray system model and neural network model. Combined to the information fusion technology, the composite gray...