Integrated intelligent systems for industrial automation: the challenges of Industry 4.0, information granulation and understanding agents .

Authors

N.R Yusupbekov, Tashkent State Technical University, Tashkent city, Republic of UzbekistanFollow
V.B Tarassov, Bauman Moscow State Technical University, Moscow, RussiaFollow

Abstract

The objective of the paper consists in considering the challenges of new automation paradigm Industry 4.0 and reviewing the-state-of-the-art in the field of its enabling information and communication technologies, including Cyberphysical Systems, Cloud Computing, Internet of Things and Big Data. Some ways of multi-dimensional, multi-faceted industrial Big Data representation and analysis are suggested. The fundamentals of Big Data processing with using Granular Computing techniques have been developed. The problem of constructing special cognitive tools to build artificial understanding agents for Integrated Intelligent Enterprises has been faced.

First Page

62

Last Page

75

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Recommended Citation

Yusupbekov, N.R and Tarassov, V.B (2018) "Integrated intelligent systems for industrial automation: the challenges of Industry 4.0, information granulation and understanding agents .," Chemical Technology, Control and Management: Vol. 2018: Iss. 4, Article 11.
DOI: https://doi.org/10.34920/2018.6.62-75