基于语义联邦的HLA对象模型生成方法  

Novel HLA Object Model Generation Method Based on Semantic Federation

作　　者：李犁[1] 肖田元[1] 马成[1] 

机构地区：[1]清华大学自动化系国家CIMS中心,北京100084

出　　处：《系统仿真学报》2013年第3期395-402,共8页Journal of System Simulation

基　　金：国家863项目"支持400km/h高速检测列车研制的协同仿真平台建设和应用"(2009AA110302)

摘　　要：为提升复杂产品协同仿真过程中的语义一致性,提出了一种基于语义联邦的高层体系结构(High Level Architecture,HLA)对象模型生成方法。该方法在HLA的范畴内,通过建立语义联邦完成各联邦成员间的互理解,以发布和订购的方式实现各联邦成员间本体的概念匹配,在保持领域本体独立性的基础上形成了不同领域本体概念间的概念匹配对,并以此为基础动态生成具体仿真应用联邦的HLA对象模型,从而保证了协同仿真应用联邦建立的效率和语义的一致性。本研究还建立了基于语义联邦的协同仿真平台原型系统,并通过实例验证了方法的可行性。To assure the semantic consistency in collaborative simulation for complex product development, a novel HLA object model generation method was given based on semantic federation. In HLA, the proposed method reused and organized domain ontologies in semantic federation by publish/subscribe mode, and achieved the mutual understanding among federates while the independence of domain ontology was well reserved. HLA object model for simulation federations could be created dynamically on the basis of semantic federation and user＇s control, therefore the efficiency of creating simulation federation was improved and the semantic consistency was ensured. A prototype of semantic based collaborative simulation and an industrial case were well established to demonstrate the feasibility of this method.

关 键 词：协同仿真 HLA RTI 本体 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]