| China is a large mountainous country,and debris flow is one of the common natural mountain disasters in the rainy season in mountainous areas,which is a serious phenomenon of soil and water loss.Debris flow monitoring and early warning is of great significance not only in the national economic construction,but also in the disaster prevention and control work of the transportation department.The research on the formation mechanism of debris flow disaster involves many disciplines and is relatively complex.Designing a high accuracy and stable monitoring and early warning mathematical model is a hot and difficult point in the field of debris flow monitoring and early warning.In this paper,a scientific and accurate mathematical model for debris flow monitoring and early warning is designed,and its calculation results are early warning and displayed through software engineering method:The establishment of debris flow monitoring and early warning model based on analytic hierarchy process is essentially to simplify a complex problem layer by layer.The realization step of debris flow monitoring and early warning model based on analytic hierarchy process is to decompose the final target into three layers,the first layer is the target layer,the second layer is the criterion layer,and the third layer is decomposed into specific index layers according to the second layer.Finally,the calculation results are obtained by fuzzy quantitative method.In the actual model design,we also need to carry out a lot of field investigation on the design and selection of basic factors,response factors,inducing factors,weight coefficients and other contents of each monitoring point to ensure scientific and reasonable design.After data collection and data analysis of a large number of historical disaster points,the relative height difference,slope gradient,soil texture,soil moisture content.vegetation coverage,erosion intensity and formation lithology of the monitored disaster points are classified as basic factors,disaster sensitivity and slope loose material reserves are classified as response factors,and the rainfall in the first three days,24 hours and 10 minutes are classified as induction factors,Then the judgment matrix is constructed and its consistency is detected and sorted.Based on the above research model,we designed a monitoring and early warning system for debris flow on Expressway Slopes.The system includes a network transmission layer,an application support layer,an application layer and an information display layer,which are independent of each other and can interact with each other.The network transmission layer is a data acquisition network composed of various sensors,and the application support layer is composed of spatial database access components,map editing components,middleware,etc,the application layer includes various function management modules,and the information display layer allows users to access the system through the web.GIS technology is used in the implementation of the system,which combines map design,model calculation,database management and other technologies.The current mainstream Java EE development framework is adopted in the development and design,and MVC model is used for hierarchical design.The main functions of the system include data acquisition,weight management,monitoring point partition management,monitoring point video image management,alarm level management,etc.The system has simple interface,complete functions and strong user experience. |
