| Issue |
E3S Web of Conf.
Volume 525, 2024
IV International Conference on Geotechnology, Mining and Rational Use of Natural Resources (GEOTECH-2024)
|
|
|---|---|---|
| Article Number | 05006 | |
| Number of page(s) | 6 | |
| Section | Automation, Digital Transformation and Intellectualization for the Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202452505006 | |
| Published online | 20 May 2024 | |
Prospects for deployment of integrated production automation systems using artificial intelligence
1 «Expert and Analytical Center», 33, Talalikhina str., Moscow, 109316, Russia
2 M.T. Kalashnikov Izhevsk State Technical University, 7, Studencheskaya str., Udmurt Republic, Izhevsk, 426069, Russia
3 Federal state unitary enterprise «All-Russia scientific and research institute «Center», 11, p.1., Sadovaya-Kudrinskaya str., Moscow, 123242, Russia
4 Mendeleev University, 9, Miusskaya Square, Moscow, 125047, Russia
5 Financial University under the Government of the Russian Federation, 49, Leningradsky Prospekt, Moscow, 125167, Russia
6 Marine Hydrophysical Institute, Russian Academy of Sciences, 2, Каpitanskaya str., Sevastopol, 299011, Russia
7 Reshetnev Siberian State University of Science and Technology, 31, Krasnoiarskii Rabochii Prospekt, Krasnoyarsk, 660037, Russia
* Corresponding author: kartsan2003@mail.ru
The article considers the directions of application of artificial intelligence in the deployment of integrated systems of production automation at all stages of the product life cycle: design and engineering, production, equipment control, control and monitoring during production and operation, in-process logistics and management of interaction with suppliers and customers. Three strategies for the implementation of complex production automation systems using artificial intelligence are proposed: a strategy for solving local production and technological problems, a strategy for the development of virtual reality technologies, and a strategy for comprehensive digitalization within the framework of Industry 4:0.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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