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Data Architecture for the Internet of Things and Industry 4.0

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Data Mining and Big Data (DMBD 2017)

Abstract

This paper analyzes Internet of Things (IoT), its use into manufacturing industry, its foundation principles, available elements and technologies for the man-things-software communication already developed in this area. And it proves how important its deployment is. In that sort of systems, information process. Is related to manufacturing status, trends in energy consumption by machinery, movement of materials, customer orders, supply data and all data related to smart devices deployed in the processes. This paper describes a proposal of data architecture of the Internet of things applied to the industry, a metamodel of integration (Internet of Things, Social Networks, Cloud and Industry 4.0) for generation of applications for the Industry 4.0.

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Correspondence to José Ignacio Rodríguez Molano .

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Molano, J.I.R., Bravo, L.E.C., Santana, E.R.L. (2017). Data Architecture for the Internet of Things and Industry 4.0. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_29

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  • Online ISBN: 978-3-319-61845-6

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