Optimization And Demonstration Of Automatic Generation Method Of Initial Plane Of Railway Line Based On Gri

With the development of artificial intelligence scientific and the application demands in practical production,the railway location design has go into the era of intelligent location.How to generate the satisfaction initial plane smartly,fastly and metting the code of railway lines design on the technical and economic indicators is the key issue to realize intelligent railway alignment.Scholar used knowledge engineering to present the initial plane generation method of railway lines based on raster data analysis,which can generate satisfaction initial plane quickly,and he made an important contribution to the realization of intelligent location.However,this method has a great dependence on grid costs model and parameters value,different cost models and different parameter settings can make the optimal path different.Original method has not studied depthly,also does not analyse the relationship between the costs model,parameters values and railway design speed,terrain conditions.This thesis is based on the cost model and parameter settings in the method,to optimize this research and verify the studies through few actual cases.The main contributions of this thesis are:1)The method of automatically generating an initial plane based on optimal route analysis is described,the shortcomings of this method is analysed and the optimization recommendations for this method are propused.2)The optimization of the grid costs model as the following three aspects:The established method of grid costs model and geographic fault line selection model in the ArcGIS platform are studied,unfavorable geology was joined considered in establishing the grid costs model.The value method of the grid costs is studied.The corresponding elements of the grid cost weighting coefficients are put forward.On the lots of bridges,tunnels and subgrade,it studied the value method of corresponding elements of the grid cost weighting coefficients when considering different geographical elements.Combination of different terrain and different speed target value of almost 1000 km route scheme analysis of actual cases,it gives suggested values for the corresponding weighting coefficient.3)The recommendations of the parameters on the different terrain and different speed are put forward.The parameters contain the line gradient,the bridges,tunnels critical construction height,the engineering cost calculation coefficient of bridges,tunnels and subgrade,the line length relevant fee coefficient and the most reasonable size of grid.The rationality of the parameters recommended values are validated through the actual case studies.4)A fast selection of intelligent computer-aided design system for railway line schemes is developed based on ArcGlobe,preliminary research findings and conclusions this study.Then,using the actual verified the case system.Through the artificial design and man-machine collaboration generated local programmes compared,we can get the conclusion:Man-machine cooperation in the system selection can significantly shorten the time of the route scheme design.It can help the location engineer out of the design work which is more repetitive and lower knowledge content,so that they can work on more challenge and more creative tasks.So we can enhance efficiency and the quality of location design,and reduce the work intensity.