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Research on technologies and application of data mining for cloud manufacturing resource services

机译:云制造资源服务数据挖掘技术与应用研究

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摘要

Nowadays, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for better implementing CMfg services is how to address the problems faced by distributed massive and polymorphic data analysis and processing of manufacturing resource services in CMfg environment. In order to handle the problems, and promote development integration and business application of data mining, the research on technologies and application of data mining for cloud manufacturing resource (CMR) services has been carried out in this paper. The data mining application model and multi hierarchy architecture of CMR services are designed, and the topology of resource service data integrating process based on multi-Agent is presented. Besides, the preprocessing method of manufacturing resource data is proposed, and a CMR virtual data warehouse is established as well. In addition, an improved genetic algorithm oriented to manufacturing resource services is put forward, so as to achieve efficient searching and mining of massive polymorphic data. Finally, a case study is employed to illustrate the effectiveness and applicability of the proposed method in CMR service platform.
机译:如今,云制造(CMFG)作为一种新的面向服务的制造模式,在全球范围内得到了广泛的关注。然而,更好地实现CMFG服务的关键技术之一是如何解决CMFG环境中的分布式大规模和多态性数据分析和制造资源服务的处理所面临的问题。为了处理问题,促进数据挖掘的发展集成和业务应用,本文进行了对云制造资源(CMR)服务的数据挖掘技术和应用研究。设计了CMR服务的数据挖掘应用模型和多层次结构架构,并介绍了基于多代理的资源服务数据集成过程的拓扑。此外,提出了制造资源数据的预处理方法,也建立了CMR虚拟数据仓库。此外,提出了一种改进的遗传算法,提出了制造资源服务,从而实现了大量多态性数据的有效搜索和挖掘。最后,采用案例研究来说明所提出的方法在CMR服务平台中的有效性和适用性。

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