Abstract
Industrial Internet of Things (IIoT) is an integral part of cyber-physical production systems and processes, characterizing the use of modern and disruptive technologies (big data, IoT, and artificial intelligence (AI) among others) to produce consumer goods, considering real-time data from sensors and other sources of information assisting industrial devices and infrastructure in their decision-making, and it has the potential for digital transformation by adding technologies such as analytics. Intelligent Factory is a broad concept developed in Industry 4.0 involving factories with fully integrated cyber-physical systems, through automation, IIoT, high-end industrial machines, Big Data, and AI are examples of technologies included in the implementation of this concept, going beyond the capacity of these machines to work without any human operator in charge, created from the perception of a series of technological advances, allowing intelligent robots and machines to perform increasingly complex functions, it not only affect industries but the entire marketplace. IIoT, in this sense, can be considered a move toward “intelligent machines,” which allows machines to autonomously monitor and predict potential problems, creating operational efficiencies, in which the levels of precision of the operations involved in the respective systems are raised to a level that cannot be achieved through human interventions. Therefore, this manuscript aims to offer an up-to-date overview of the IIoT and your adjacent technologies presenting the principles of this technology. In that regard, it demonstrates a landscape view of the applied aspect, with a concise bibliographic background to point out key concerns and challenges, featuring the potential of technologies.
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Monteiro, A.C.B., Bonacin, R., França, R.P., Arthur, R. (2024). An Overview of IIoT Related to the Modern Panorama of the Industrial Field. In: Majumdar, S., Kandpal, V., Anthopoulos, L.G. (eds) Smart Cities. S.M.A.R.T. Environments. Springer, Cham. https://doi.org/10.1007/978-3-031-59846-3_5
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