A knowledge push method for iteration design integrating SysML and knowledge graph

Product iterative design contributes to product performance, stakeholder satisfaction, etc., and is one of the major competencies of complex equipment manufacturing companies. Nevertheless, a large quantity of knowledge is generated during the whole life cycle of complex products, and it is crucial to use this knowledge to implement iterative product design. The application of knowledge in the product design stage is mostly based on knowledge pushing from static knowledge base, which is prone to problems such as inefficient knowledge management and insufficient expression of semantic relationships, and does not combine with product iterative design scenarios. To this end, this paper proposes an iterative design knowledge pushing method combining SysML(System Modeling Language) and knowledge graphs. Firstly, the method constructs a SysML-based iterative product design system model for supporting the determination of iterative design intention scenarios. Secondly, the knowledge graph technology is used to unify the management and representation of product iterative design knowledge. Thirdly, the knowledge graph for the iterative design process is constructed oriented to the iterative feedback requirements based on FBS(Function-Behavior-Structure) and knowledge complexity calculation to determine the KDA(Knowledge Demand Anchor). Finally, based on the determined KDA, the design knowledge is pushed with the help of TransR(Translate-R) and random walk algorithms. The proposed method is verified by an illustrated case.