Font Size: a A A

Ontology Modeling Method Of CTCS3+ATO Train Control Simulation System

Posted on:2023-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:B SunFull Text:PDF
GTID:2532306845990479Subject:Control engineering
Abstract/Summary:PDF Full Text Request
High-speed train operation control system(hereinafter referred to as train control system)is the key technology and core equipment to ensure high-speed railway operation safety and improve transportation efficiency.It plays a vital role in rail transit system.With the development of the new generation of information technology,simulation technology has been used in functional testing and scene simulation in the process of engineering development and academic research of train control system,which solves the problems of scene reproduction and reduces the test cost.At present,the train control simulation system is usually developed according to different lines or scenarios.The developed simulation modules and other resources have low reuse rate and poor interoperability,which is easy to cause a waste of human and material resources.To solve the reusability problem of train control simulation system and realize the rapid matching modeling of simulation is very necessary for the digital development of high-speed railway in the future.In view of the above problems,this thesis focuses on improving the reusability and interoperability of train control simulation system resources.It puts forward the train control simulation system architecture based on SOA(Service Oriented Architecture).Then,it studies the ontology modeling method of train control simulation system,and improves a semantic matching algorithm.Finally,I complete ontology reasoning and model matching,and constructs the simulation system based on the actual engineering requirements for the Hardware-in-Loop simulation verification.The main research work is as follows:(1)A C3 + ATO simulation system based on SOA architecture is constructed.The loosely coupled SOA architecture is adopted to model and analyze the CTCS(Chinese Train Control System)simulation platform;based on the normative documents of ATO(Automatic Train Operation)of high-speed railway in China,the functional level and actual work flow of CTCS3 + ATO system are analyzed,and its system interface is described;the corresponding relationship between the three parts of SOA and CTCS3 +ATO subsystem is clarified,and the system development is completed.(2)The ontology modeling method of train control simulation system is studied.Based on the spatial distribution and functional level of train control simulation system,the domain ontology of train control simulation system based on Protégé is constructed,which is mapped with the actual simulation system.The interface and functional level of simulation system instance are described by OWL(Web Ontology Language),which lays a foundation for ontology reasoning model matching.(3)Based on Apache Jena Fuseki and semantic matching algorithm,ontology reasoning and model matching are completed.Aiming at the problem of weak interoperability of SOA,ontology reasoning is used to solve it,and the method and process of ontology reasoning are discussed;Aiming at the possible semantic heterogeneity of ontology reasoning,a semantic matching algorithm without large corpus is improved.The semantic description is transformed into the concept vector in vector space,and its semantic similarity is calculated to verify the accuracy of reasoning.(4)According to the simulation requirements of the project,the.Net framework and C# language with reference to SOA architecture,the embedded host computer system and hardware in the loop vehicle simulation system are designed and developed,and the simulation model base and ontology model base are expanded.According to the new requirements of hardware in the loop simulation,the verification platform for the Hardware-in-Loop simulation simulation is quickly constructed through ontology reasoning and semantic matching,which verifies the feasibility of the proposed ontology modeling,ontology reasoning and model matching methods.57 pictures,4 tables,70 references.
Keywords/Search Tags:Train control system, System Simulation, Ontology modeling, Ontology reasoning, Semantic matching
PDF Full Text Request
Related items