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

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Digital twins are related to the practice of creating a computer model of an object, such as a machine or even a human organ, or yet a process like a climate. By studying the behavior of the digital twin, it is possible to analyze, understand, and predict the behavior of its counterpart in the real world and to solve issues before they occur. However, to take full advantage of the digital twin’s potential, real systems need not only be networked with each other but also need to develop the ability to “think” and act autonomously [56].

This development tends toward AI, from simple mutual perception and interaction to independent communication and optimization, also requiring integrated information systems that allow a continuous exchange of information, still demanding powerful software systems that can implement them along the entire value chain, and planning and designing products, machines, and plants, in addition to operating products and production systems. The technology of digital twins allows users to act in a much more flexible and efficient way, as well as personalize their manufacturing [57].