Prediction Study Of Engineering Landslides

In actual engineering construction, the engineering landslides who were caused by the engineering construction are often related to the progress of the whole project smoothly. Therefore, it's of great significance to study the prediction of this kinds of landslide. This article mainly studied the methods and the measures that used in the prediction aims at this kinds of engineering landslide. And combined with the practical engineering of landslide, and it is a section of the ZK5+410-ZK5+485 landslide that located in the SongTong highway in Guizhou Province as a result of this example is discussed.First of all, the present situation of the landslide prediction is studied, and the technical development in direction and the results of the landslide prediction are analyzed, including the domestic and foreign. Secondly, the base of landslide prediction are discussed in this paper.The landslide prediction is studied that which is based on of the long-term practical engineering of landslide deformation monitoring, in this paper. So the deformation monitoring of the landslide is analyzed in detail. Then, the paper focuses on the development process of the information management system of slope monitoring which is based on ThinkPHP framework and the bootstrap front frame, and its application in engineering practice. Because of the large amount of parameters, and large amount of monitoring data are collected in landslide monitoring, and in order to facilitate the management of the data and related information, we develop the system. It can also be called the cloud of slope monitoring information management platform. It is very good in the process of data storage, sharing and drawing the monitoring data which provides convenience for the trend of landslide deformation. Through the application of the system we can be better achieve the prediction of slope. In addition, we have made a systematic analysis of landslide prediction and analysis methods, and we focus on the data fitting analysis, regression analysis and exponential smoothing. The prediction method based on the grey theory and the numerical simulation method based on the finite element method are also studied. Finally, we combine the engineering landslide example, and based on the data of landslide deformation monitoring to predict, analyze the application of forecasting methods in the actual project, and evaluate the effect of the prediction model. From the point of view of the results, the use of data fitting prediction method combined with the trend prediction method can be very good to predict the landslide.Through the engineering landslide prediction research, and engineering practice, we know that the multi parameters real-time monitoring of landslide, and according to the rich monitoring data and the effective monitoring information management means, and the use of appropriate forecasting model can well of landslide prediction.