發(fā)布時(shí)間：2018-01-10 20:12

  本文關(guān)鍵詞：基于SOA的列控仿真系統(tǒng)設(shè)計(jì)及可信性研究　出處：《北京交通大學(xué)》2017年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 列控系統(tǒng) 系統(tǒng)仿真 SOA 本體建模 可組合性 互操作性 可信性

【摘要】：列車運(yùn)行控制系統(tǒng)(以下簡(jiǎn)稱列控系統(tǒng))是軌道交通重要組成部分之一,旨在保證列車安全高效運(yùn)行。隨著計(jì)算機(jī)、通信技術(shù)在軌道交通中廣泛應(yīng)用,列控系統(tǒng)已發(fā)展成為一個(gè)功能龐大、集車地為一體的復(fù)雜安全控制系統(tǒng)。仿真技術(shù)作為系統(tǒng)調(diào)試測(cè)試、功能性能驗(yàn)證確認(rèn)的重要手段,在我國(guó)高速鐵路、城市軌道交通列控系統(tǒng)研究開發(fā)中發(fā)揮了重要作用�，F(xiàn)有的列控仿真系統(tǒng)雖取得了顯著成效,但還存在一些局限性。1、從研究方向上看,現(xiàn)階段研究的關(guān)注點(diǎn)在建立列控仿真系統(tǒng)模型上,缺少對(duì)已有成熟的列控模型資源的管理和重復(fù)利用,導(dǎo)致每一次列控仿真系統(tǒng)或平臺(tái)的建設(shè)耗費(fèi)大量人力和時(shí)間,系統(tǒng)開發(fā)周期長(zhǎng),資源浪費(fèi)嚴(yán)重。2、從應(yīng)用效果上看,現(xiàn)階段列控仿真系統(tǒng)使用的關(guān)心點(diǎn)在仿真應(yīng)用結(jié)果上,缺少列控仿真系統(tǒng)可信性評(píng)價(jià)適合方法的研究。使用可信性未達(dá)需求的列控仿真系統(tǒng)獲得的仿真結(jié)果再完美也無實(shí)際意義。針對(duì)以上的不足,論文圍繞列控仿真系統(tǒng)模型資源的可組合性、互操作性及仿真系統(tǒng)可信性開展研究,主要工作如下:1、論文分析了不同類型列控系統(tǒng)共性特點(diǎn),提出了基于面向服務(wù)體系架構(gòu)(Service-oriented Architecture,SOA)列控仿真系統(tǒng)框架。設(shè)計(jì)了通用性列控仿真系統(tǒng)環(huán)境,將列控仿真系統(tǒng)環(huán)境劃分為線路拓?fù)浣Y(jié)構(gòu)、列車和駕駛仿真三方面,設(shè)計(jì)了基礎(chǔ)線路數(shù)據(jù)庫到線路拓?fù)浣Y(jié)構(gòu)及列車?yán)锍膛c列車仿真位置對(duì)應(yīng)關(guān)系的關(guān)鍵映射算法,為不同線路數(shù)據(jù)與列控仿真系統(tǒng)的組合奠定基礎(chǔ);定義了列控仿真系統(tǒng)基本功能模型,將其作為SOA體系中的服務(wù)進(jìn)行管理,充分利用SOA體系的優(yōu)勢(shì),實(shí)現(xiàn)列控仿真系統(tǒng)模型的松耦合性,為列控仿真系統(tǒng)模型達(dá)到可組合提供資源和條件。2、論文將領(lǐng)域知識(shí)集成建�！倔w建模引入列控仿真系統(tǒng)領(lǐng)域,解決了 SOA體系在模型組合中互操作性差及模型匹配過程中的語義異構(gòu)問題。采用改進(jìn)的本體描述語言(Ontology Web Language for Services,OWL-S)描述列控仿真系統(tǒng)模型輸入輸出接口參數(shù)、預(yù)置條件和功能效果,為模型組合匹配奠定基礎(chǔ);通過定義算子及改進(jìn)模型匹配算法獲得0～1之間的定量匹配結(jié)果,為列控仿真系統(tǒng)可信度評(píng)價(jià)提供定量數(shù)據(jù);OWL-S本體建模與改進(jìn)模型匹配算法的結(jié)合實(shí)現(xiàn)了列控仿真模型的組合匹配,從而提高了組合模型的互操作性。3、論文使用模糊三角函數(shù)與層次分析法(Fuzzy-Analytic Hierarchy Process,FAHP)及網(wǎng)絡(luò)層次分析法(Fuzzy-AnalyticNetwork Process,FANP)綜合評(píng)價(jià)列控仿真系統(tǒng)可信性,獲取定量的可信度結(jié)果。通過確定列控仿真系統(tǒng)可信性評(píng)價(jià)流程,建立可信性評(píng)價(jià)模型,將可信性評(píng)價(jià)分為列控仿真系統(tǒng)環(huán)境、SOA體系和仿真應(yīng)用三部分,指導(dǎo)確定可信性評(píng)價(jià)指標(biāo),降低評(píng)價(jià)過程中思維混亂造成的誤差;采用的模糊三角函數(shù)適合于人類的邏輯思維,結(jié)合專家的評(píng)分方式及通過專家意見協(xié)調(diào)程度篩選誤差過大數(shù)據(jù),最大程度降低評(píng)價(jià)過程的主觀性。4、論文以列控車載設(shè)備測(cè)試為應(yīng)用目的,設(shè)計(jì)了中國(guó)列車運(yùn)行控制系統(tǒng)(Chinese Train Control System,CTCS)第3級(jí)列控車載設(shè)備功能測(cè)試平臺(tái),根據(jù)流程計(jì)算了平臺(tái)的可信度。車載設(shè)備測(cè)試平臺(tái)的設(shè)計(jì)驗(yàn)證了 SOA體系與本體建模相結(jié)合對(duì)列控仿真系統(tǒng)模型組合匹配和互操作的適用性;平臺(tái)可信度計(jì)算驗(yàn)證了論文所研究的可信性評(píng)價(jià)方法的可用性。
[Abstract]:Train operation control system (hereinafter referred to as the train control system) is an important part of rail transportation, to ensure safe and efficient operation of the train. With the development of computer and communication technology is widely used in rail transportation, train control system has become a large, set the car as one of the complex security control system simulation technology as the system. Debugging and testing, an important means of functional performance verification, in our country's high-speed railway, city rail transport plays an important role in the research and development of control system. The existing train control simulation system has made remarkable achievements, but there are still some limitations of.1, from the research perspective, current research focus in the establishment of train control simulation system model, the lack of mature train control model of resource management and reuse, leading to the construction of every train control simulation system or platform cost a lot of manpower And time, system development cycle is long, serious waste of resources of.2, from the application point of view, at this stage of train control simulation system used in the simulation results concern, the lack of research evaluation control simulation system credibility. Credibility methods suitable for use does not reach the demand of train control simulation system the simulation results perfectly no practical significance. In view of the above problems, this paper focuses on the train control system simulation model of resource combination, interoperability and credibility of simulation system is studied, the main work is as follows: 1, this paper analyzes the different types of train control system's characteristic, proposed based on service oriented Architecture (Service-oriented Architecture SOA) train control simulation system framework is designed. The train control simulation system, the train control simulation system environment into line topology, and three train driving simulation, design basis The key line database mapping algorithm to line topology and train mileage and train simulation corresponds to the foundation combined control simulation system for different data lines and columns; column defines the basic functions of control simulation system model, the system of SOA service management, make full use of advantages of the SOA system, realize the column loose coupling control simulation system model, simulation model for train control system to provide a combination of resources and conditions of.2, the domain knowledge integration modeling ontology modeling into train control simulation system, solves the semantic heterogeneity problem of SOA system in the model of combination of interoperability and model matching in the process of using the improved. The ontology description language (Ontology Web Language for Services, OWL-S) to describe the model input and output interface parameters of train control simulation system, the effect of preset condition and function as a model In combination, to lay the foundation; by defining the operator and improved model matching algorithm from 0 to 1 between the quantitative matching results, provide quantitative data for evaluating the reliability of simulation system of train control; OWL-S ontology modeling and model combined with the improved matching algorithm to achieve the control of the simulation model, the combination of columns, so as to improve the interoperability of.3 combined model this paper, using fuzzy analytic hierarchy method and trigonometric function (Fuzzy-Analytic Hierarchy, Process, FAHP) and analytic network process (Fuzzy-AnalyticNetwork Process FANP) credibility control simulation system for comprehensive evaluation of the credibility of the results, to obtain quantitative. By determining the train control simulation system credibility evaluation process, establish credibility evaluation model, the credibility evaluation is divided into train control simulation system, SOA system and simulation application of the three part, guide the credibility evaluation index, reduce the thinking process of evaluation The error caused by the confusion of logical thinking; triangular fuzzy function used for human beings, combined with expert scoring method and the coordination degree of expert opinion screening high error data, to minimize the subjectivity of.4 process, the onboard equipment for testing applications, designed Chinese train control system (Chinese Train Control System, CTCS) onboard equipment function test platform third, the credibility of the platform are calculated according to the design process. The vehicle equipment test platform to verify the SOA system and the combination of ontology modeling simulation system model matching and interoperability for train control platform; reliability calculation to verify the availability of the credibility evaluation method study on the.

【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：U284.48

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