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

Xu He, Rong Li*, Yongjie Wei, Haizhu Zhang*, Shengfeng Qin, Jiajun Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023
Place of PublicationPiscataway, NY
PublisherIEEE
Pages614-622
Number of pages9
ISBN (Electronic)9798350319804
ISBN (Print)9798350319811
DOIs
Publication statusPublished - 31 Aug 2023
Event9th IEEE Smart World Congress, SWC 2023 - Portsmouth, United Kingdom
Duration: 28 Aug 202331 Aug 2023

Conference

Conference9th IEEE Smart World Congress, SWC 2023
Country/TerritoryUnited Kingdom
CityPortsmouth
Period28/08/2331/08/23

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