• 论文 •    

云制造环境下支持演化的制造云服务元建模

黄沈权,顾新建,张勇为,杨青海,方水良   

  1. 1.浙江大学 现代制造工程研究所,浙江杭州310027;2.中国标准化研究院,北京100088
  • 出版日期:2012-06-15 发布日期:2012-06-25

Meta-modeling for manufacturing cloud service supporting evolution in cloud manufacturing environment

HUANG Shen-quan, GU Xin-jian, ZHANG Yong-wei,YANG Qing-hai,FANG Shui-liang   

  1. 1.Institution of Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;2.China National Institute of Standardization,Beijing100088,China
  • Online:2012-06-15 Published:2012-06-25

摘要: 针对制造云服务运行环境的高度动态开放性,在分析了制造云服务建模需求的基础上,提出了支持演化的云服务元建模框架,着重研究了框架的语义表示层中的云服务元模型架构。在云服务元元模型层,给出了云服务元元模型的形式化定义及云服务的概念模型。在云服务元模型层,阐述了云服务业务主对象、业务元对象和业务元数据的模型结构及演化操作对象、演化日志对象的模型结构。在云服务模型层,基于Web本体描述语言建立了云服务本体。在此基础上,提出了云服务的演化过程模型。开发了一个面向模具行业的制造云服务管理平台原型,通过实际案例验证了该云服务建模方法的可行性和有效性。

关键词: 云服务, 云制造, 服务演化, 元建模, 元模型

Abstract: Aiming at the highly dynamic opening of manufacturing cloud service's operating environment, the meta-modeling framework for cloud service supporting evolution was put forward based on the analysis of modeling requirements of manufacturing cloud service. The meta-model architecture for cloud service in the semantic representation layer of this framework was studied emphatically. In meta-meta-model layer of cloud service, the formal definition of meta-meta-model and the conceptual model of cloud service were presented. In the meta-model layer of cloud service, the model structure of business master object, business meta object and business meta data as well as model structure of evolution operation object and evolution log object were elaborated. In the model layer of cloud service, cloud service ontology was established based on Web ontology language. Based on the above, the evolution process model of cloud service was presented. A prototype of manufacturing cloud service management platform for mould industry was developed, and a practical case study was provided to demonstrate the feasibility and effectiveness of this modeling method for cloud service.

Key words: cloud service, cloud manufacturing, service evolution, meta-modeling, meta-model, ontology

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