Digital twins’ introduction as one of the major directions of industrial digitalization

Nadеzhda Kurganova, Мichael Filin, Dmitry Cherniaev, Artem Shaklein, Dmitry Namiot

Abstract


This article observes one of the vital directions of industrial digitalization. It is a smart decision for virtual setting of static and dynamic data of a technological system, generally called a “digital twin”. The technology not only allows an operator to get data through API but also makes decisions based on machine learning considering production processes. Thus less number of personnel is required. Autonomy, reliability and stability of technological system are possibly boosted. An order of how the technology works is sorted out stepwise. Each step is illustrated with the examples of technical facilities used and goals achieved. The authors also have studied researches on digitalization of the railway which can be integrated in the observed technology later. The article presents a brief overview of program solutions used in the concept of digital twin. The article states conditions and problems of digital twins integration in the world and in Russia in particular. The authors considered such modern technologies as the Internet of Things, Edge Analytics and Big Data. The existing literature written by Russian and foreign researchers working in the field of digital twins has been referred to.

Full Text:

PDF (Russian)

References


Borovkov A. et al. «Umnyye» tsifrovyye dvoyniki – osnova novoy paradigmy tsifrovogo proyektirovaniya i modelirovaniya globalno konkurentosposobnoy produktsii novogo pokoleniya // Tramplin k uspekhu. Tsifrovaya ekonomika znaniy. – 2018. - №13. – p. 13-17.

Gurianov A. et al. Organizatsiya tsifrovykh proizvodstv Industrii 4.0 na osnove kiberfizicheskikh sistem i ontologiy // Nauchno-tekhnicheskiy vestnik informatsionnykh tekhnologiy. mekhaniki i optiki. - 2018. - Vol. 18. - № 2. - p. 268-277.

Dva v odnom: dlya chego zavodu nuzhen tsifrovoy bliznets // RBK Tsifrovaya Rossiya: http://digital-russia.rbc.ru/article-page_11.html

Dobrynin A. et al. The Digital Economy - the various ways to the effective use of technology (BIM, PLM, CAD, IOT, Smart City, BIG DATA, and others) // International Journal of Open Information Technologies. – 2016. – Vol 4, № 1. – p. 4-11.

Komrakov A., Sukhorukov A. Kontseptsiya tsifrovogo dvoynika v upravlenii zhiznennym tsiklom promyshlennykh obyektov // Setevoy nauchnyy zhurnal «Nauchnaya ideya». – 2017. - №3(3) http://www.nauch-idea.ru/

Kupriyanovskiy V. et al. Optimizing the use of resources in the digital economy // International Journal of Open Information Technologies. – 2016. – Vol 4, № 12. – p. 86-96.

Sinyagov S., et al. Building and Engineering Based on BIM Standards as the Basis for Transforming Infrastructures in the Digital Economy // International Journal of Open Information Technologies. – 2017. – Vol 5, № 5. – p. 46-79.

Nikonorov A., Shishmarev A. Tsifrovoy dvoynik. Sistemy 3D-modelirovaniya ispolzuyutsya dlya sozdaniya tsifrovykh dvoynikov oborudovaniya na NPZ «Gazprom nefti»: http://www.gazprom-neft.ru/press-center/sibneft-online/archive/628/1119180/

Tsifrovoy HR: platformy. lyudi i rabota. Glava sedmaya iz otcheta Deloitte 2017: https://www.talent-management.com.ua/3284-tsifrovoj-hr-deloitte-2017/

Kak tsifrovyye dvoyniki pomogayut rossiyskoy promyshlennosti: https://rb.ru/longread/digital-twin/

Dzhulli A.. Pal S. Biblioteka Keras — instrument glubokogo obucheniya. – DMK Press. 2017. – 294 p.

Official website Predix: https://www.predix.io

Vakulenko S., Volosov K., Volosova N. K metodu otsenki sostoyaniya zheleznodorozhnogo polotna // Mir Transporta. – 2016. – Vol 14. №3. – p. 20-35.

Stefan Boschert, Christoph Heinrich, Roland Rosen Next Generation Digital Twin // Proceedings of TMCE 2018, Las Palmas de Gran Canaria, Spain, 7-11 May, 2018.

Dattaraj Jagdish Rao Digital Twin for the Railway Network. Making Trains “Look” for Track Defects // GE Transportation – Digital Solutions, 2018.


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность IT Congress 2024

ISSN: 2307-8162