Design And Implementation Of Validity Verification Of Vrhicle-Ground Data In High Speed Railway Train Control System

Train control datas is one of the most significant part in train control system,whose data validation can protect the train operation.If the configuration of train control data is not correct,the train will not run normally,and even cause unpredictable losses.Therefore,the train control data is also an indispensable part of railway operation and maintenance.The 14 th five year plan proposes the goal of building railway into data railway,and the State Railway Group also proposes to establish a railway big data platform for railway data analysis and decision-making.However,at present,the domestic data check of vehicle-ground control is usually by manual analysis,generally through the check of data table or artificial analysis and processing of alarm information returned for operation data.However,the large amount of data and complex logical relations bring a lot of inconvenience to manual audit,and it is inevitable to miss the wrong judgment.Therefore,it is of great significance to use a large batch of train control data and to reduce labor cost and improve efficiency and accuracy by intelligent way to verify,audit and even predict each link of train control system.Here are the main achievements of this thesis:(1)The data of train control transponder are de disturbed and verified by FFFIS algorithm.The encrypted 1023 bit message is converted into 832 bit user information message,and the message information is automatically resolved into information packet.Finally,the integrity of packets can be checked in the positive and negative direction cases respectively in combination with the message specification.(2)According to the railway specification such as "1076 TB 3484-2017 Application principle of Balise in train control system" and other documents,the audit rules of key information items in each information package in the transponder message are extracted.The information packets are classified into transponder link information,line information,route information,communication information,etc.based on the basic data and engineering data as the reference source.The rationality of each information is judged one by one,and the unreasonable data is alarmed with the suggested values given.(3)The dynamic detection data of track circuit is evaluated by using Fuzzy Analytic Hierarchy Process.The section is divided into two modules: basic information and dynamic information of the line.The sub indicators of each section information are judged and scored reasonably.Then,each index is weighted to get the final segment score.Finally,The system will show the quality level of section track circuit in the form of comparison diagram,which can also reveal the information of overrun indicators in the section separately.(4)According to the combination of the above balise data and the track circuit data and the vehicle data,a set of top-down vehicle-ground data verification tool module is designed to realize the configuration data,from train control engineering data to track circuit data and vehicle data.The function uses Java to solve the logic processing,and uses Java Script to complete the data interaction,whose page is displayed by Vue.Finally,this thesis uses the actual engineering line data to test,the results show that the system can greatly solve the efficiency problem of manual audit,and the results have high accuracy.