面向工业装配的知识图谱构建与应用研究

doi:10.11896/jsjkx.200600116

摘要/Abstract

摘要： 在新时代智能制造的背景下,传统的工业装配设计方法已经无法满足现代用户追求智能、高效、高精的需求,推进工业设计的智能化成为目前工业领域研究的热点之一。文章通过在现有的工业装配设计方法上,开展面向装配设计图谱的构建,通过装配设计规范构建了装配设计本体模型,从三维图面档案中零件数据获取、零件实体的识别、零件间关系的抽取以及零件知识的融合等方向入手,将获取到的装配数据存入图数据库中构建以汽车发动机领域为例的工业装配知识图谱。实验结果验证了装配设计图谱的可行性。

关键词: 工业图谱, 关系抽取, 实体抽取, 知识融合, 知识图谱

Abstract: In the context of smart manufacturing in the new era,traditional industrial assembly design methods have been unable to meet the needs of modern users in pursuit of intelligence,efficiency,and precision.Promoting the intelligent of industrial design as a research hotspot has become a top priority in the industrial field.This paper develops assembly design-oriented atlas through existing industrial assembly design methods,constructs assembly design ontology models through assembly design specifications,acquiring part data from three-dimensional drawing files,part entities identification,and relationships between parts Starting from the extraction and the fusion of parts knowledge,the acquired assembly data is stored in a graph database to construct an indust-rial assembly knowledge map taking the automobile engine field as an example.The results of experimental verify the feasibility to use knowledge graph into assembly.

Key words: Entity extraction, Industrial graph, Knowledge fusion, Knowledge graph, Relationship extraction

中图分类号:

TP182

徐进. 面向工业装配的知识图谱构建与应用研究[J]. 计算机科学, 2021, 48(6A): 285-288. https://doi.org/10.11896/jsjkx.200600116

XU Jin. Construction and Application of Knowledge Graph for Industrial Assembly[J]. Computer Science, 2021, 48(6A): 285-288. https://doi.org/10.11896/jsjkx.200600116

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