Research On Design And Credibility Of Train Control Simulation System Based On SOA

Train control system(TCS)is one of the important components of rail transportation and the key to ensure the rail traffic safety and efficiency.With the wide application of computer and communication technology in rail transportation,TCS has been developed into a complex safety control system with a large number of functions.As an important means for system debugging and testing,verification and validation of functional performance,simulation technology plays an important role in the research and development of high-speed railway and urban railway TCS.Although the train control simulation system(TCSS)has achieved positive results,TCSS has the following limitations:1.From the research perspective aspect,current research focus on the establishment of TCSS modle,lacking of management and reusinig of mature TCSS model.It takes lots of manpower and time to bulid a new TCSS,which makes system development cycle long and resources seriously wasting.2.From the application effect aspect,using of TCSS focus on the simulation result,lacking of research for TCSS credibility method.If the credibility of TCSS did not meet the requirement,even the simulation result was perfert,this result was meaningless.In order to solve the above problems,this paper focuses on the research on the combination,interoperability and credibility of the simulation resources of TCSS.The main work of this paper is as follows:1.The common characteristics of the different TCS were summed.TCSS framework was designed by service-oriented architecture(SOA),and the general TCSS environment was designed to line topology,train and driver simulation.The key algorithms for mapping basic line data base to simulation line topology and train mileage to simulation train position were designed,which laid the foundation for combination of different line data and TCSS.TCSS basic function models as SOA’s web service were designed,which maked full use of advantages of SOA to realize the coupling of TCSS model and provided the resources and conditions for TCSS models’ combination.2.To solve the problem of poor interoperability and semantic heterogeneity in the process based on SOA,ontology model was introduced into TCSS field.The input/output paremeters,precondition and effect of TCSS’s models were described by ontology web language for services(OWL-S),which laid the foundation for model conbinaiton.By defining the operator and the improved matching algorithm to abtain quantitative result between 0-1,quantitative data was provided for TCSS credibility;the combination of the OWL-S ontology model and the improved matchinig algorithm realized the matching combination of TCSS’s models,which improved the interoperability of the model combination.3.Fuzzy analytic hierarchy process(FAHP)and fuzzy analytic network process(FANP)were used to research TCSS credibility evaluation,which got the quantitative result.By determining TCSS credibility evaluation process and establishing credibility evaluation model which divided to TCSS environment,SOA and simulation application,credibility evaluation indexs were got,which reduced the error caused by the confusion in the process of evaluation.The fuzzy triangular function was suitable for human logical thinking,combining with a number of expert scoring method and the coordination of expert opinion to filter out the error data,and the subjectivity of evaluation process was reduced.4.Chinese train control system level 3 test platform of the on-board equipment function was built to test the real on-board equipment’s function.This platform’s design verified the applicability of combining with ontology model and SOA for TCSS’s model matching combination and interoperability.Calculating the credibility of the platform verified the availability of credibility evaluation methods researched by this paper.