Features of the implementation of artificial intelligence and digital technologies in industrial production: promising directions and modern trends in automation

The article discusses the problems of optimizing the work of modern industrial production, promising areas of automation, the industrial Internet of things. The author’s principle of optimizing the operation of automated systems through a number of promising technologies is described: a model of an...

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Published inJournal of physics. Conference series Vol. 1889; no. 2; p. 22012
Main Authors Malikov, V N, Kunigina, L V, Munister, V D, Zolkin, A L, Varshavskij, V R
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2021
Subjects
Artificial intelligence
Automatic control
Automation
Computer networks
Distributed processing
Industrial applications
Industrial production
Internet of Things
Machine learning
Optimization
Physics
Software
Online AccessGet full text
ISSN1742-6588
1742-6596
DOI10.1088/1742-6596/1889/2/022012

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Abstract The article discusses the problems of optimizing the work of modern industrial production, promising areas of automation, the industrial Internet of things. The author’s principle of optimizing the operation of automated systems through a number of promising technologies is described: a model of an improved abstract executor and distributed computing, modern machine learning tools. The application of information security methods in ensuring the search for the optimal connection between objects and subjects of an automated control system is given. The economic and technological significance and role of the potential described and considered implementations are formalized.
AbstractList The article discusses the problems of optimizing the work of modern industrial production, promising areas of automation, the industrial Internet of things. The author’s principle of optimizing the operation of automated systems through a number of promising technologies is described: a model of an improved abstract executor and distributed computing, modern machine learning tools. The application of information security methods in ensuring the search for the optimal connection between objects and subjects of an automated control system is given. The economic and technological significance and role of the potential described and considered implementations are formalized.
Author Munister, V D
Varshavskij, V R
Zolkin, A L
Malikov, V N
Kunigina, L V
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SubjectTerms Artificial intelligence
Automatic control
Automation
Computer networks
Distributed processing
Industrial applications
Industrial production
Internet of Things
Machine learning
Optimization
Physics
Software
Title Features of the implementation of artificial intelligence and digital technologies in industrial production: promising directions and modern trends in automation
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