Digital twins of objects in the solution of control problems

The paper includes the development analysis for digital representation of objects and processes in the field of production. Authors pay special attention to a description of digital twins (DT) as a key element in a structure of digital transformation tools for production management. The narration co...

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Bibliographic Details
Main Authors: V. A. Minaev, A. V. Mazin, K. B. Zdiruk, L. S. Kulikov
Format: Article
Language:English
Published: CRI «Electronics» 2019-08-01
Series:Радиопромышленность
Subjects:
Online Access:https://www.radioprom.org/jour/article/view/657
Description
Summary:The paper includes the development analysis for digital representation of objects and processes in the field of production. Authors pay special attention to a description of digital twins (DT) as a key element in a structure of digital transformation tools for production management. The narration covers creation of DT and their groups with known techniques for entity conceptual simulation. There are the new approaches shown as to pressing problems in the comprehensive assessment of a state and administration of production facility’s functioning using digital twins. The considered approaches relate to the comprehensive assessment of an object’s state at any time (in the past, present, future) throughout its life cycle. Authors show that to solve tasks in digital transformation of production processes and management of complex industrial facilities, it makes sense to use the indicators proposed in the paper: system’s internal propensity towards conflicts, its update potential and remaining lifetime. Besides, they conclude that a qualitative analysis of a real entity’s behaviour and its control based on the DT model involve collection and accumulation of all of the available historical data about it, which, in turn, necessitates the creation of special-purpose software for big data processing that support the multidimensional temporal model for organisation of integrated information storages.
ISSN:2413-9599
2541-870X