Abstract: Aiming at the problems of data separation,semantic inconsistency and low efficiency of semantic integration among requirement models,architecture models and traceability models in complex product design process,an ontology-based models integration method was proposed.Firstly,the ontology framework of requirement,architecture and traceability models was established by combining the model embodiment and application scenario.Then,the Basic Formal Ontology(BFO)was used to integrate the three domain ontologies,forming a general model integration ontology framework for Model-based Systems Engineering(MBSE)application environment.Based on the ontology framework,the bidirectional automatic generation of models and ontology was realized.Taking the intelligent electric vehicle system as a case,the effectiveness of the proposed method was verified.

Key words: complex product design, basic formal ontology, model-based systems engineering, domain ontologies, semantic integration

摘要： 针对复杂产品设计过程中的需求模型、架构模型和追溯模型之间数据割裂、语义不一致、语义集成效率低等问题,提出一种基于本体的模型集成方法。首先结合模型体现形式和应用场景,分别建立需求、架构和追溯模型的本体框架。然后,采用基本形式化本体(BFO)对该3个领域本体进行集成,形成一套用于面向基于模型的系统工程(MBSE)应用环境的通用的模型集成本体框架。基于该本体框架,构建本体转换引擎实现模型与本体的双向自动生成。最后,以智能电动汽车系统为例,验证了所提方法的有效性。

关键词: 复杂产品设计, 基本形式化本体, 基于模型的系统工程, 领域本体, 语义集成