Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн

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Generating an increasing number of connected devices (in some situations, it even include unfinished products), since the digitization of data from machines, methods, processes, procedures, and intelligent devices, integrates and complements the operational layer of an industrial plant, enabling communication and systems integration and controls and allowing responses and decision-making in real time. Thus, IIoT becomes a prerequisite for Industry 4.0 [1, 7].

The difference between IoT and IIoT is in the sense that the first relates systems that connect things, complement information, normally only produce data, and can be used in any sector of the industry, transforming the second, to manage assets and analyze maintenance trends [8–10].

IIoT forms a critical layer of the production process and can directly connect a product supplier in real time on the production line, which analyzes the quality and use of your product, as well as connecting the input and output logistics chain of materials and control production, in real time, at the optimum point of operation, becoming an application of production and consumption of data, with a critical profile [8–10].