铁道学报
鐵道學報
철도학보
2015年
6期
26-35
,共10页
张恒%朱军%徐柱%胡亚%尹灵芝
張恆%硃軍%徐柱%鬍亞%尹靈芝
장항%주군%서주%호아%윤령지
耦合大系统%地理本体%虚拟高速铁路场景%动态建模
耦閤大繫統%地理本體%虛擬高速鐵路場景%動態建模
우합대계통%지리본체%허의고속철로장경%동태건모
general coupling simulation%geo-ontology%virtual high-speed railway scene%dynamic modeling
针对高速列车耦合大系统的复杂多动态性和不确定性,本文提出一种本体驱动的高速铁路场景建模方法,构建可视化展示与仿真分析平台。根据耦合仿真的建模需求构建完备基元模型库,并用地理本体对模型的空间关系进行语义描述,制定语义约束规则对建模过程加以约束和引导,生成高速铁路场景。在虚拟场景中,通过控制观察视角与列车运行速度,即可开展多视角、多运行状态的模拟仿真。案例实验表明,本文构建的基元模型库精准、完备,基于本体描述的基元模型间语义信息,能够有效支持动态耦合仿真过程中各子系统间复杂动态空间关系的分析。研究成果能够为高速列车耦合仿真提供建模服务。
針對高速列車耦閤大繫統的複雜多動態性和不確定性,本文提齣一種本體驅動的高速鐵路場景建模方法,構建可視化展示與倣真分析平檯。根據耦閤倣真的建模需求構建完備基元模型庫,併用地理本體對模型的空間關繫進行語義描述,製定語義約束規則對建模過程加以約束和引導,生成高速鐵路場景。在虛擬場景中,通過控製觀察視角與列車運行速度,即可開展多視角、多運行狀態的模擬倣真。案例實驗錶明,本文構建的基元模型庫精準、完備,基于本體描述的基元模型間語義信息,能夠有效支持動態耦閤倣真過程中各子繫統間複雜動態空間關繫的分析。研究成果能夠為高速列車耦閤倣真提供建模服務。
침대고속열차우합대계통적복잡다동태성화불학정성,본문제출일충본체구동적고속철로장경건모방법,구건가시화전시여방진분석평태。근거우합방진적건모수구구건완비기원모형고,병용지리본체대모형적공간관계진행어의묘술,제정어의약속규칙대건모과정가이약속화인도,생성고속철로장경。재허의장경중,통과공제관찰시각여열차운행속도,즉가개전다시각、다운행상태적모의방진。안례실험표명,본문구건적기원모형고정준、완비,기우본체묘술적기원모형간어의신식,능구유효지지동태우합방진과정중각자계통간복잡동태공간관계적분석。연구성과능구위고속열차우합방진제공건모복무。
Considering the complex dynamic properties and the uncertainties in high‐speed trains during the gen‐eral coupling simulation process , this paper proposed an ontology‐driven method of creating high‐speed railway scenes to construct a platform for the visual display and analysis of simulation data . A complete basic element model base was built in relation to the modeling requirements of coupling simulation .Meanwhile ,a semantic description of the spatial relationships among the models was given by using geo‐ontology modeling methods . Then various semantic constraint rules were developed to control and guide the modeling process , to dynami‐cally generate a high‐speed railway scene .In this virtual scene ,a simulation of multiple perspectives and run‐ning states w as conducted by means of controlling the perspectives of observation and the running states of a train . The experiments showed that the basic element model base presented in this paper is accurate and com‐plete , and the geo‐ontology described semantic information effectively supported the analysis on complex and dynamic spatial relationships among subsystems during the dynamic coupling simulation process . The research results can provide modeling services for the coupling simulation of high‐speed trains .