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Big Data in Wisdom Manufacturing for Industry 4.0

机译:工业智慧制造业的大数据4.0

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With the maturity of Internet and an aggressive push towards Internet of Things (IoT) as well as Industry 4.0, data has become more accessible and ubiquitous; the era of Big Data has come. Big Data analytics in manufacturing aims to upgrade manufacturing sector into a smarter level. Managing, correlating and extracting useful information from the Big Data will greatly promote manufacturing intelligence. However, research work exploiting Big Data has mainly focused on the social networking domain rather than manufacturing. In this paper, the authors survey the Big Data background of modern manufacturing and introduce the most recently developed paradigms. The Big Data reference architecture for wisdom manufacturing (WM) is proposed, which is based on social-cyber-physical system (SCPS). WM is a humans-computers-things collaborative manufacturing system with human as top decision-makers, smart things as the basis, computers' data processing as the core, and services as the purpose. And the possible implementation of Big Data analytics in future manufacturing are investigated and summarized.
机译:随着互联网的成熟和攻击事物互联网(物联网)以及行业4.0,数据变得更加接近,无处不在;大数据的时代已经到来。制造业的大数据分析旨在将制造业升级到更智能的水平。从大数据管理,关联和提取有用信息将大大促进制造智能。然而,利用大数据的研究工作主要集中在社交网络领域而不是制造业。在本文中,作者调查了现代制造业的大数据背景,并介绍了最近开发的范式。提出了用于智慧制造(WM)的大数据参考架构,其基于社交网络 - 物理系统(SCPS)。 WM是一种人类 - 计算机 - 用人类作为顶级决策者的组合制造系统,智能事物作为基础,计算机数据处理作为核心,以及服务作为目的。并调查和总结在未来制造业中的大数据分析的可能实施。

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