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

22 страница из 122

The use of IoT and IIoT proposes the digital factory bringing benefits to productive plants as an improvement in the use of the asset, reduction of operations or asset cycle cost, improved production, reduction of operations or stoppages, improving asset use (performance), increased speed in decision-making, allow the sale or purchase of products as a service, generate opportunity for new business, among several others. Thus, the premise of digitizing all information can lead to a question about the reason and reason for digitizing so much data, since this information is all digitized and there are all the means (networks) for them to travel and exchange information with each other, it is expected that decisions can be made not only between operators and machines, but also between machine and machine, this is called M2M, Machine to Machine, which before were not available in real time and are now needed [8–11].

Thus, the architectures of industrial automation systems, which have adherence to Industry 4.0, manage to integrate different devices in favor of industrial evolution, with more and more sensors, cameras, and systems that will be monitoring the entire industrial production process, evaluating and supervising the performance of equipment, and providing, in addition to the already known layers of operational control and the entire control framework, the IoT and IIoT layer, where it will converge all this data into a Big Data, delivering operational control possibilities (ssss1), with decision-making in prognoses and with the possibility of autonomous actions [10–12].