摘要
随着我国动车组产业的不断发展,对动车组全生命周期数据的管理成为人们关注的焦点。首先,本文分析动车组全生命周期数据现状与存在问题;其次,针对动车组全生命周期多源异构数据的特点,提出一种利用动车组本体知识库的数据融合框架;最后,针对其中的模式匹配问题,提出一种基于组合模式相似度的模式匹配方法。实验结果表明,该方法对动车组多源异构数据的模式匹配结果良好,能够在很大程度上提高动车组多源异构数据融合的自动化程度。
With the continuous development of Chinese EMU industry,the EMU life cycle data management has become the focus of attention. Firstly,this paper analyzes the current status and existing problems of EMU＇s life cycle data. Secondly,aiming at the characteristics of EMU＇s multi-source and heterogeneous data,this paper proposes a data fusion framework based on EMU＇s ontology knowledge base. Finally,this paper proposes a pattern matching method based on the similarity of composition patterns.Experiments show that the method has a good result of pattern matching of multi-source and heterogeneous data of EMU,and can greatly improve the automatization of multi-source and heterogeneous data fusion of EMU to a great extent.
出处
《计算机与现代化》
2017年第10期36-41,共6页
Computer and Modernization
基金
国家863计划资助项目(2015AA043701)
