A metadata based manufacturing resource ontology modeling in cloud manufacturing systems

被引:0
|
作者
Xiaobin Li
Peijie Zhuang
Chao Yin
机构
[1] Chongqing University,School of Economics and Business Administration
[2] Chongqing University,State Key Laboratory of Mechanical Transmission
来源
Journal of Ambient Intelligence and Humanized Computing | 2019年 / 10卷
关键词
Cloud manufacturing; Manufacturing resource; Metadata; Semantic description; Ontology;
D O I
暂无
中图分类号
学科分类号
摘要
Smart manufacturing refers to integrating new generation information technologies and advanced manufacturing technologies to improve enterprise efficiency, increase customer satisfaction and enhance market competitiveness. Cloud manufacturing (CMfg) is a typical paradigm of smart manufacturing. With the rapid deployment and application of various CMfg systems, it is extremely urgent and significant to implement the standardized semantic description of manufacturing resources (MRs) characterized by geographical dispersion, high autonomy, and heterogeneity. In this paper, a metadata based manufacturing resource ontology modeling method is proposed to solve the consistency description problem of MRs in cloud. Firstly, the characteristic attributes of MRs in CMfg systems are analyzed, and a metadata-based manufacturing resource ontology-modeling framework is constructed. Then, a manufacturing resource domain ontology (MR_Onto) and a metadata model (MR_Meta) are designed, the mapping rules between them are discussed. Finally, a prototype tool describing manufacturing resources is developed, the feasibility and effectiveness of the proposed method and the developed tool are verified in an application case.
引用
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页码:1039 / 1047
页数:8
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