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System Models of a Single Information Space of Digital Twins

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Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023)

Abstract

The paper considers a systematic approach to modeling a single system-information space of virtual digital production. The terms system information, information norm, and information measure introduced in the work correspond to the generally accepted classical definition of the concept of “information”. An analysis of system-information models of processes and systems was carried out, and a definition of the term system information was proposed as a proportional ratio of a general attribute to its particular value, that is, information about the proportion of an information measure is subject to transmission. A methodology for system-information modeling of the information space is proposed. An example of calculating equivalent system information is given and an analysis of methods for solving production problems using system-information models is carried out. The analysis of methods for solving production problems, based on system-information models, showed additional possibilities for processing information in single information space of virtual digital industries, which are based on the developed terms of system information, information norm, and information measures.

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Correspondence to Mykola Korablyov .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Korablyov, M., Lutskyy, S. (2023). System Models of a Single Information Space of Digital Twins. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-99-3091-3_29

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  • DOI: https://doi.org/10.1007/978-981-99-3091-3_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3090-6

  • Online ISBN: 978-981-99-3091-3

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