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

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In the digital transformation of the industry (relating the advent of the Fourth Industrial revolution), AI associates IoT with the combination of the ecosystem for data transmission between devices and the technology for analyzing this information independently, still conceptualizing the emergence of Artificial Intelligence of Things (AIoT). Considering that the IoT concept is related to the various IoT devices that collect data and create a network for transmitting critical information to administrators, on the other hand, AIoT data is processed by resources that analyze the standards providing only the information necessary for making a decision and can even make the necessary decisions without human involvement [17].

Pondering on AI, this uses algorithms to analyze data and resources through aspects such as Machine Learning by automating processes without manual intervention, incorporating with IoT gaining connectivity and capacity for data exchange. The great advantage of the IoT concept is in the various solutions involving machine-to-machine communication, integrated into a single network, where it publish and consume information. Thus, it is through the integration of IoT, with the analysis of broad data sets (Big Data Analytics), and with the performance in ecosystems using AIoT that it is possible to exceed the limits that each of these technologies has individually, developing an advanced solution to support operational management, offering predictive maintenance, and consequently increasing control, quality, and efficiency in business operations [35].