The Research Of Railway Security Management Based On Big Data

As technology develops,the level of informatization of Chinese railroad is getting higher and higher.In terms of railway security management,we have built more than 60 systems in both regular rail and high speed rail,including security supervising system,monitoring system and command and dispatch system,which fully cover all the branches of the railway work.Further,the data size per day on security management has reached the PB level.Nowadays,since the security field in China Railway has gone into the big data time,traditional way of data storage,transmission and analysis technology,have been unable to satisfy the demands for such a huge amount of data resource.Therefore,further effective and advanced security management must be applied in order to fully take advantage of the data,deeply and intelligently analyze the data as well as monitor and forecast the potential risks,truly realizing the goal of preventing the accidents from happening.This thesis focus on designing and realizing railroad security management system based on big data.It,firstly of all,analyzes the present research status,domestically and internationally,of railroad security management.Secondly,it introduces the relative theories and technologies,the former of which mainly analyze security management theory,big data management theory and the characteristics of railroad security management,and the latter of which mainly analyze the introduction of software and hardware,systematically realized programming languages,Tomcat server,Hidden Markov Model and Ant Colony Optimization.Thirdly,it tries to construct the system of railroad security management based on big data platform,mainly including the system of railroad security management based on big data,the application of the system of big-data-based railroad security management and the research and application of the technology of security management platform.Fourthly,it introduces the requirements of railroad security management system based on big data platform,analyzing mainly from the aspects of the present status of railroad security management system,the requirements on the big data of the railroad staff and the railroad environment,data requirements analysis,performance analysis and feasibility analysis.Meanwhile,according to the requirements analysis,it designs the whole system,including the system construction design,system function design,data base design,network structure design and security design.At last,it realizes the functions of the system by combining the popular technologies,such as Java,Jsp,MySQL data base technology,big data technology,Hidden Markov Model and Ant Colony Optimization.It's major functions contain identity identification,fault diagnosis of railroad equipments,security risks assessment of railroad equipments,forecasting of natural disasters along the rail lines,and the foreign matter monitoring on railway.After having realised the system,the thesis examines on the system's functions,performance,pressure resistance,and it shows that almost all the functions can be realized,performance is well achieved,and the pressure resistance need be further improved.The meaning of this research is,by utilizing modern technologies,especially big data,to fully and intelligently analyze the data collected from the sensors of different parts of railroad,serving the identity identification,fault diagnosis of railroad equipments,security risks assessment of railroad equipments,forecasting of natural disasters,and the foreign matter monitoring on railway,in order to protect the normal running of the trains,prevent the potential risks in advance,and keep the security management of the China Railway more orderly,more effective and more precise.