Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing

Abstract

Industry 4.0 corresponds to the Fourth Industrial Revolution, resulting from technological innovation and research multidisciplinary advances. Researchers aim to contribute to the digital transformation of the manufacturing ecosystem both in theory and mainly in practice by identifying the real problems that the industry faces. Researchers focus on providing practical solutions using technologies such as the Industrial Internet of Things (IoT), Artificial Intelligence (AI), and Edge Computing (EC). On the other hand, universities educate young engineers and researchers by formulating a curriculum that prepares graduates for the industrial market. This research aimed to investigate and identify the industry’s current problems and needs from an educational perspective. The research methodology is based on preparing a focused questionnaire resulting from an extensive recent literature review used to interview representatives from 70 enterprises operating in 25 countries. The produced empirical data revealed (1) the kind of data and business management systems that companies have implemented to advance the digitalization of their processes, (2) the industries’ main problems and what technologies (could be) implemented to address them, and (3) what are the primary industrial needs and how they can be met to facilitate their digitization. The main conclusion is that there is a need to develop a taxonomy that shall include industrial problems and their technological solutions. Moreover, the educational needs of engineers and researchers with current knowledge and advanced skills were underlined.

The Analysis of Artificial Intelligence Digital Technology in Art Education Under the Internet of Things

“…They found that systems that integrate IoT technology and AI performed excellently in enhancing students' creative experiences and learning outcomes [38]. Ma 2022) provided practical case studies and data support through empirical research on students using IoT technology to learn art [44]. In summary, the research of these scholars offered a strong theoretical basis for this study, supporting the innovative application of integrating IoT technology and AI in art education.…”

Automated system of inter-operational transport with a pneumatic drive

“… ensured the possibility of using an identical basing system at each station, which has a positive impact on the final quality of the product,  reduced the cost of manufacturing basing systems due to their unification,  provided the possibility to carry out the process on two work stations,  ensured optimum use of production space,  reduced costs of manufacturing the machine due to the relatively low manufacturing costs of the transport system built from modular systems. The implemented innovative design solution of the transport system based on pneumatic drives is an example of the possibility to use simple and low-cost drives to perform important tasks in automated production lines operating within the framework of Industry 4.0 (Stadnicka, et al, 2022) (Kolberg & Zuhlke, 2015) (Brzozowska & Gola, 2021). The presented solution is the result of the search for optimal process execution conditions, which is one of the basic activities while designing robotic production systems.…”

“…This assembly is driven by a pistonless cylinder (8), which, thanks to its equipment, makes it possible to set precisely the drive stroke. The container is gripped during transport by movable arms (9), which are rotated by the cylinder (10). The tank between the arms is blocked in place with the use of clamping cylinders (11) (Fig.…”

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…or which can facilitate the achievement of the same, also fall within the Industry 4.0 paradigm. Some examples are the industrial internet [40], integrated industry [41], the factory of the future [42,43], Smart Industry and Smart Manufacturing [44][45][46][47], and many other emerging technologies.…”