Published since 1923
DOI: 10.33622/0869-7019
Russian Science Citation Index (RSCI) на платформе Web of Science


  • CONFERENCE "SURVEY AND MONITORING OF BUILDINGS AND STRUCTURES"
  • Digital Twins As A Tool For Controlling And Predicting Risks In The Survey Of Construction Sites
  • UDC 69.05
    doi: 10.33622/0869-7019.2026.02.52-56
    Kristina A. MALYSHEVA, malyshevaka@mgsu.ru
    Dmitry D. MUNTYANU, dmitri.1411@yandex.ru
    National Research Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow 129337, Russian Federation
    Abstract. The article considers the application of digital twin technology in the construction industry. Digital twins are analyzed as a tool for quality control and risk forecasting in the construction and operation of facilities. Based on examples (Moscow, Sweden, France, Sweden - Löfstad Castle, hydraulic structures), the advantages of digital twins for construction control were identified, as well as the problems of their implementation and development prospects were identified. Particular attention is paid to the currently existing models of digital twins in Russia and abroad, their analysis and development prospects. The results of the study allow us to conclude about the importance of using digital models as one of the main tools for monitoring the risk and condition of the construction object. The presented results can be used to further improve the methodological basis for the study and use of digital twins as a tool for controlling and predicting risks in the survey of construction facilities. This, in turn, contributes to increasing the systemic digitalization of the entire industry "from above", which, despite some lags in mass implementation, creates a powerful foundation for the future.
    Keywords: digital twin, construction control, risk forecasting, BIM, infrastructure
  • REFERENCES
    1. Borovkova A. I., Ryabov A. I., Shcherbina L. A. et al. Tsifrovyye dvoyniki v vysokotekhnologichnoy promyshlennosti [Digital twins in high-tech industry]. St. Petersburg, Politekh-Press Publ., 2022. 492 p. (In Russ.).
    2. Malysheva K. A., Sirotkin I. V., Khrustalev B. B. Vliyaniye usloviy riska na effektivnost funktsionirovaniya i razvitiya predpriyatiy investitsionno-otraslevogo kompleksa [The influence of risk conditions on the efficiency of functioning and de-velopment of enterprises of the investment and industrial complex]. Penza, PGUAS Publ., 2005. 187 p. (In Russ.).
    3. Available at: https://sapr.ru/article/26079 (accessed 25.11.2025). (In Russ.).
    4. Available at: https://trends.rbc.ru/trends/industry/6107e5339a79478125166eeb (accessed 25.11.2025). (In Russ.).
    5. Available at: https://minstroyrf.gov.ru/press/tsifrovoy-dvoynik-pomozhet-upravlyat-gorodskim-khozyaystvom/ (accessed 25.11.2025). (In Russ.).
    6. Available at: https://dewesoft.com/blog/structural-health-monitoring-of-prestressed-concrete-bridge (accessed 25.11.2025). (In Russ.).
    7. Available at: https://arxiv.org/abs/2410.14260 (accessed 25.11.2025). (In Russ.).
    8. Available at: https://chudo.tech/2024/11/25/zavershilos-vosstanovlenie-notr-dama-s-ispolzovaniem-peredovyh-tehnologij/ (accessed 25.11.2025). (In Russ.).
    9. Available at: https://sigma-tau.xyz/digital_twin/ (accessed 25.11.2025). (In Russ.).
    10. Available at: https://www.sodislab.com/ru/blog/digitaltwins (accessed 25.11.2025). (In Russ.).
    11. Available at: https://www.sodislab.com/ru/sbfm (accessed 25.11.2025). (In Russ.).
    12. Available at: https://unilight.ru/resheniya/modul-inventarizacii (accessed 25.11.2025). (In Russ.).
    13. Chumakova O. V. Digital technologies in capital construction as an object of intellectual property. Voprosy rossiyskogo i mezhdunarodnogo prava, 2021, vol. 11, no. 11a, pp. 45-52. (In Russ.).
    14. Murzilin S. S., Vishtorskiy E. M., Malysheva K. A. Application of an unmanned aerial system for detecting defects during the construction of buildings and structures. Inzhenernyy vestnik Dona, 2025, no. 3(123), pp. 39-49. (In Russ.). (In Russ.).
    15. Available at: https://www.cnews.ru (accessed 25.11.2025). (In Russ.).
  • For citation: Malysheva K. A., Muntyanu D. D. Digital Twins as a Tool for Controlling and Predicting Risks in the Survey of Construction Sites. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2026, no. 2, pp. 52-56. (In Russ.). doi: 10.33622/0869-7019.2026.02.52-56


BACK