Analysis of development trends of new generation digital twins

Vladimir Sukhomlin, Dmitry Namiot, Dmitry Gapanovich

Abstract


The article is devoted to the analysis of development trends of new generation digital twins, including intelligent, intelligent and cognitive digital twins, which have become the leading trend in digital transformation. A classification of digital twins is given, the class of intelligent (smart) digital twins, their scope of application, architectural and functional features, and the machine learning methods used are analyzed. Next, we consider the class of cognitive digital twins. Their features and scope of application are discussed. Finally, the use of cognitive digital twins for creating industrial metaverses is considered, in particular, the approach and architecture of an industrial metaverse for mining enterprises created on the basis of digital twins of mines is considered. In conclusion, the article presents conclusions on current scientific areas of digitalization, which, in the opinion of the authors, deserve special attention.

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