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Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic)

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12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022) (WCIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 718))

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Abstract

The paper considers the issues of creating systems for monitoring and predictive modeling the state of hazardous phenomena and objects, discusses various options for their use for risk analysis. Using the example of the Covid-19 pandemic, it is shown how the discrepancy between forecast and reality leads (after a critical analysis) to the model modification or a revision of the accepted external impact scenario.

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Author information

Authors and Affiliations

  1. Institute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences (IITP of RAS), Bolshoy Karetny per. 19, build. 1, 127051, Moscow, Russian Federation

    Sokolov Alexander

  2. Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Institute for System Analysis (FRCCSC of RAS, ISA), Vavilova street 44/2, 119333, Moscow, Russian Federation

    Royzenson Gregory

  3. Moscow Institute of Physics and Technology (State University) (MIPT), Institutskiy per. 9, 141701, Dolgoprudny, Moscow Region, Russian Federation

    Royzenson Gregory

  4. National Research University “Moscow Power Engineering Institute” (MPEI), Krasnokazarmennaya 14, 111250, Moscow, Russian Federation

    Royzenson Gregory

  5. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg, Austria

    Komendantova Nadejda & Ekenberg Love

Authors
  1. Sokolov Alexander
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  2. Royzenson Gregory
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  3. Komendantova Nadejda
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  4. Ekenberg Love
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Corresponding author

Correspondence to Sokolov Alexander .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    R. A. Aliev

  2. Department Automation of Production Processes, Tashkent State Technical University, Tashkent, Uzbekistan

    Nodirbek Rustambekovich Yusupbekov

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    M. B. Babanli

  6. Department of Computer Engineering, Near East University, Nicosia, Türkiye

    Fahreddin M. Sadikoglu

  7. Tashkent State Technical University, Tashkent, Uzbekistan

    S. M. Turabdjanov

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Alexander, S., Gregory, R., Nadejda, K., Love, E. (2024). Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic). In: Aliev, R.A., et al. 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 718. Springer, Cham. https://doi.org/10.1007/978-3-031-51521-7_26

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