References:
1. National program Digital Economy of the Russian Federation. Available at: http://government.ru/rugovclassifier/614/events (accessed: February 3, 2022). (In Russ).
2. Tsarev M.V., Andreev Yu.S. Digital twins in industry: development history, classification, technologies, use cases. Izvestiya vysshikh uchebnykh zavedeniy. Priborostroenie = Journal of Instrument Engineering. 2021. № 7 (64). pp. 517–531. (In Russ). DOI: 10.17586/0021-3454-2021-64-7-517-531
3. Grieves M., Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. Transdisciplinary Perspectives on Complex Systems. New Findings and Approaches. Cham: Springer, 2017. pp. 85–113. DOI: 10.1007/978-3-319-38756-7_4
4. Borovkov A.I., Ryabov Yu.A., Kukushkin K.V., Maruseva V.M., Kulemin V.Yu. Digital duals and digital transformation of OPK enterprises. Vestnik Vostochno-Sibirskoy otkrytoy akademii = Bulletin of the East Siberian Open Academy. 2019. № 32. pp. 1–38. (In Russ).
5. Polupan K.L., Koryagin S.I., Klachek P.M. Development of digital economy methods based on hybrid computing intelligence. Nauchno-tekhnicheskie vedomosti SPbGPU. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018. Vol. 11. № 1. pp. 9–18. (In Russ). DOI: 10.18721/JE.11101
6. Nikanorov V.V., Omelyantsev M.A., Marchenko S.G., Berner L.I., Zeldin Yu.M. Application of artificial intelligence techniques for efficiency improvement of supervisory control and management of gas transmission system. Gazovaya promyshlennost = Gas Industry Journal. 2021. Special iss. № 2. pp. 120–126. (In Russ).
7. Semenov P.V., Semishkur R.P., Dyachenko I.A. Conceptual model оf digital twin technology implementation for oil and gas industry. Gazovaya promyshlennost = Gas Industry Journal. 2019. № 7 (787). pp. 24–30. (In Russ).
8. Hlady J., Glanzer M., Fugate L. Automated Creation of the Pipeline Digital Twin During Construction: Improvement to Construction Quality and Pipeline Integrity. Proceedings of 12th International Pipeline Conference. Calgary, 2018. Vol. 2. 12 p. DOI: 10.1115/IPC2018-78146
9. Iureva R.A., Kremlev A.S., Subbotin V., Kolesnikova D.V., Andreev Y.S. Digital Twin Technology for Pipeline Inspection. Intelligent Decision Technologies (KES-IDT 2020). Smart Innovation, Systems and Technologies. Singapore: Springer, 2020. Vol. 193. pp. 329–339. DOI: 10.1007/978-981-15-5925-9_28
10. On industrial safety of hazardous production facilities: Federal Law of July 21, 1997 № 116-FZ. Moscow: ZAO NTTs PB, 2022. 52 p. (In Russ).
11. PNST 429—2020. Smart manufacturing. Digital manufacturing twins. Part 1. General principles. Available at: https://docs.cntd.ru/document/1200174728 (accessed: February 3, 2022). (In Russ).
12. Polyanin A.V., Golovnina T.A. The concept of innovation management of industrial systems based on digital twin technology. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2021. Vol. 14. № 5. pp. 7–23. (In Russ). DOI: 10.18721/JE.14501
2. Tsarev M.V., Andreev Yu.S. Digital twins in industry: development history, classification, technologies, use cases. Izvestiya vysshikh uchebnykh zavedeniy. Priborostroenie = Journal of Instrument Engineering. 2021. № 7 (64). pp. 517–531. (In Russ). DOI: 10.17586/0021-3454-2021-64-7-517-531
3. Grieves M., Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. Transdisciplinary Perspectives on Complex Systems. New Findings and Approaches. Cham: Springer, 2017. pp. 85–113. DOI: 10.1007/978-3-319-38756-7_4
4. Borovkov A.I., Ryabov Yu.A., Kukushkin K.V., Maruseva V.M., Kulemin V.Yu. Digital duals and digital transformation of OPK enterprises. Vestnik Vostochno-Sibirskoy otkrytoy akademii = Bulletin of the East Siberian Open Academy. 2019. № 32. pp. 1–38. (In Russ).
5. Polupan K.L., Koryagin S.I., Klachek P.M. Development of digital economy methods based on hybrid computing intelligence. Nauchno-tekhnicheskie vedomosti SPbGPU. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2018. Vol. 11. № 1. pp. 9–18. (In Russ). DOI: 10.18721/JE.11101
6. Nikanorov V.V., Omelyantsev M.A., Marchenko S.G., Berner L.I., Zeldin Yu.M. Application of artificial intelligence techniques for efficiency improvement of supervisory control and management of gas transmission system. Gazovaya promyshlennost = Gas Industry Journal. 2021. Special iss. № 2. pp. 120–126. (In Russ).
7. Semenov P.V., Semishkur R.P., Dyachenko I.A. Conceptual model оf digital twin technology implementation for oil and gas industry. Gazovaya promyshlennost = Gas Industry Journal. 2019. № 7 (787). pp. 24–30. (In Russ).
8. Hlady J., Glanzer M., Fugate L. Automated Creation of the Pipeline Digital Twin During Construction: Improvement to Construction Quality and Pipeline Integrity. Proceedings of 12th International Pipeline Conference. Calgary, 2018. Vol. 2. 12 p. DOI: 10.1115/IPC2018-78146
9. Iureva R.A., Kremlev A.S., Subbotin V., Kolesnikova D.V., Andreev Y.S. Digital Twin Technology for Pipeline Inspection. Intelligent Decision Technologies (KES-IDT 2020). Smart Innovation, Systems and Technologies. Singapore: Springer, 2020. Vol. 193. pp. 329–339. DOI: 10.1007/978-981-15-5925-9_28
10. On industrial safety of hazardous production facilities: Federal Law of July 21, 1997 № 116-FZ. Moscow: ZAO NTTs PB, 2022. 52 p. (In Russ).
11. PNST 429—2020. Smart manufacturing. Digital manufacturing twins. Part 1. General principles. Available at: https://docs.cntd.ru/document/1200174728 (accessed: February 3, 2022). (In Russ).
12. Polyanin A.V., Golovnina T.A. The concept of innovation management of industrial systems based on digital twin technology. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnical University Journal. Economics. 2021. Vol. 14. № 5. pp. 7–23. (In Russ). DOI: 10.18721/JE.14501