Cloud Computing, Big Data and the Industry 4.0 Reference Architectures

N. Velásquez, Elsa Estevez, Patricia Pesado
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引用次数: 34

Abstract

The Industry 4.0 promotes the use of Information and Communication Technologies (ICT) in manufacturing processes to obtain customized products satisfying demanding needs of new consumers. The Industry 4.0 approach transforms the traditional pyramid model of automation to a network model of interconnected services, combining operational technology (OT) with Information Technology (IT). This new model allows the creation of ecosystems enabling more flexible production processes through connecting systems and sharing data. In this context, cloud computing and big data are critical technologies for leveraging the approach. Thus, this paper analyzes cloud computing and big data under the lenses of two leading reference architectures for implementing Industry 4.0: 1) the Industrial Internet Reference Architecture (IIRA), and 2) the Reference Architecture Model Industrie 4.0 (RAMI 4.0). A main contribution of this paper is to present a comparative analysis of IIRA and RAMI 4.0, discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.
云计算、大数据和工业4.0参考架构
工业4.0促进了信息和通信技术(ICT)在制造过程中的使用,以获得满足新消费者需求的定制产品。工业4.0方法将传统的自动化金字塔模型转变为互联服务的网络模型,将运营技术(OT)与信息技术(IT)相结合。这种新模式允许创建生态系统,通过连接系统和共享数据实现更灵活的生产过程。在这种情况下,云计算和大数据是利用该方法的关键技术。因此,本文在实现工业4.0的两个主要参考架构的透镜下分析云计算和大数据:1)工业互联网参考架构(IIRA)和2)工业4.0参考架构模型(RAMI 4.0)。本文的一个主要贡献是对IIRA和RAMI 4.0进行了比较分析,讨论了在工业4.0中应用云计算和大数据的需求、好处和挑战。
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