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

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Big Data is the driving technology of IoT, related to data are currently the great creators and destroyers of business value. Since the IoT devices connected to the network are constantly sending, receiving, exchanging, and crossing data, i.e., constantly producing data. As a result, the accumulation, analysis, and use of Big Data are more significant, especially for companies, which have the most expressive production of data with IoT, as it has a large number of objects that can be connected or already connected. In addition, with data and information in hand, companies make fewer mistakes, produce more, and win more customers. To make sense (means of storing, tracking, analyzing, and making use of this large amount) of all this data (information), Big Data analysis has a fundamental role, which is critical for companies of all sizes [19, 40].

ssss1 Connection to the car’s illustration.

ssss1 IoT devices.

Still pondering the seven main attributes that define and differentiate a normal object or device from an item that is part of the great mass of IoT connectivity, these devices and systems include sensors that track and measure activity worldwide. Internet connectivity will be in the item itself (thing/device), probably collecting information over time through sensors, exchanging messages, and files with a Cloud platform. Like any computer, the devices will have some built-in processing power, even if only to analyze and transmit data. Although many of the IoT devices are not yet equipped with special features to become really powerful in processing [41–43].