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Actual problems of the full-scale digital twins technology for the complex engineering object life cycle management
Author(s) -
Mikhail Zhabitskii,
V. L. Mel'nikov,
Oleksandr Boyko
Publication year - 2021
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/808/1/012020
Subject(s) - digital transformation , nuclear decommissioning , corporation , computer science , industrial engineering , scale (ratio) , industrial revolution , information technology , engineering , systems engineering , data science , engineering management , manufacturing engineering , economics , world wide web , physics , finance , quantum mechanics , law , political science , operating system , waste management
This article discusses the problems that arise with the widespread digital twin technology introduction for complex engineering objects. Based on the nuclear power experience, various classes of problems are considered. They are related to the different information models and data demand structures and for life-cycle at different stages. As part of the industrial technologies transformation during the Fourth Industrial Revolution, information model & digital twin concepts have fundamental importance. Target effects and actual problems of the technology are analyzed. The enlarged stages of the life cycle, such as design, construction, operation, and decommissioning are considered. The focus of the technology analysis is selected large objects of the Rosatom Corporation. Possible trends in the full life cycle digital twins technology are considered development. The problems of preserving large volumes of structured digital data for long periods at many decades are discussed. The problem of changing the competencies of engineering and management personnel in connection with the digital transformation of the economy and industry during the Fourth Industrial Revolution is considered. It is predicted that it is necessary to increase the costs of implementing digital technologies to achieve the target effects of the digital transformation of the industry and economy.

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