面向产品全生命周期管理的知识模型构建
Research on Knowledge Model for Product Lifecycle Management
佟国香 1李德云 1余进文1
作者信息
- 1. 上海理工大学光电信息与计算机工程学院 上海 200093
- 折叠
摘要
为有效地描述产品全生命周期管理各阶段产生的无组织散乱状态的数据以及数据之间的联系,论文提出了一种基于知识图谱的产品全生命周期数据建模方法.该方法有效地解决了系统数据模型重复存储以及模型间关联性缺失的问题.同时,为提高数据建模效率,论文提出了融合图神经网络和基于注意力机制的LSTM的算法模型以实现数据自动建模.为验证算法模型的有效性,基于产品数据集进行了算法性能对比实验.结果表明,论文算法相较于其他算法具有更好的性能指标,可以应用于产品全生命周期管理(Product Lifecycle Management,PLM)系统自动构建知识模型.
Abstract
To effectively describe the unorganized and scattered data generated in each stage of product lifecycle manage-ment,as well as the relationships between data,this paper proposes a knowledge graph based product lifecycle data modeling meth-od.This method effectively solves the problems of duplicate storage of system data models and lack of correlation between models.Meanwhile,to improve the efficiency of data modeling,this paper proposes an algorithm model that integrates graph neural net-works and LSTM based on attention mechanism to achieve automatic data modeling.To verify the effectiveness of the algorithm mod-el,algorithm performance comparison experiments are conducted based on the product dataset.The results show that the algorithm proposed in this paper has better performance indicators compared to other algorithms and can be applied to automatically construct knowledge models in product lifecycle management(PLM)systems.
关键词
产品生命周期管理/知识图谱/知识工程Key words
product life cycle management/knowledge graph/knowledge engineering引用本文复制引用
基金项目
国家重点研发计划(2018YFB1700902)
出版年
2024
国家科技期刊平台
NSTL
万方数据