• Alexander Vodyaho
  • Elena Stankova
  • Nataly Zhukova
  • Alexey Subbotin
  • Michael Chervontsev

The article deals with the problem of using digital twins and digital threads in complex distributed cyber-physical systems with a high level of structural and functional dynamics. A three-level model of the life cycle of a complex cyber-physical system is proposed. At the upper level, the observed system is described in terms of a continuous architecture. At the middle level, the observed system is described in terms of an agile architecture. At the lower level, the observed system is described in terms of a multigraph, which allows describe both the observed system structure and behavior. In the case study the solution of the problem of monitoring the state of the subway infrastructure is considered. The proposed approach has shown its effectiveness and can be applied in other domains such as smart cities.

Original languageEnglish
Title of host publicationComputational Science and Its Applications- ICCSA 2022 Workshops, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A.C. Rocha, Chiara Garau
PublisherSpringer Nature
Pages693-707
Volume13380
ISBN (Print)9783031105418
DOIs
StatePublished - 2022
Event22nd International Conference on Computational Science and Its Applications , ICCSA 2022 - Malaga, Spain
Duration: 4 Jul 20227 Jul 2022
Conference number: 22
https://iccsa.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13380 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Abbreviated titleICCSA 2022
Country/TerritorySpain
CityMalaga
Period4/07/227/07/22
Internet address

    Research areas

  • Digital thread, Digital twin, Event monitoring and visualization, Machine learning, Neural network algorithms, Smart city

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 98785598