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Integration of construction monitoring results into the information model of a capital construction project to create its digital twin

https://doi.org/10.22227/2305-5502.2026.2.8

Abstract

Introduction. The life cycle management of a capital construction project (CCP LC) is a comprehensive process, the effectiveness of which, in today’s environment, is determined by the degree of digitalization and data integration at all stages — from design to decommissioning. Information modelling (BIM/TIM) is a key tool; however, its potential for application in construction supervision has not been fully realized, leading to a gap in information continuity between the construction and operational phases. The aim of this study is to justify the need to integrate construction supervision into a unified digital environment based on an information model (IM) as a mechanism for data verification and the creation of a reliable digital twin of the facility.

Materials and methods. An analytical review was conducted to synthesize information from scientific and technical literature, regulatory documents and industry publications relating to the management of the life cycle of a capital construction project, information modelling and the use of associated technologies.

Results. The IM content has been determined for each stage of the life cycle. A direct relationship has been established between the type of production (one-off, batch, mass) and the required level of attributive richness of the model. It has been shown that construction supervision is a critical aspect for the transformation of the design model into an as-built model, since it is precisely during the construction phase that actual parameters, information on materials, deviations and concealed works are recorded. Without incorporating construction supervision information into the IM, its use during the operational phase becomes ineffective.

Conclusions. The integration of construction supervision into the information modelling process ensures information continuity throughout the entire life cycle of the CCP, which lays the foundation for the automation of management, the application of predictive analytics, the reduction of operational costs and the enhancement of construction transparency. Further development of the life cycle management of the CCP involves the in-depth use of artificial intelligence and robotization, for which structured attribute data serves as an essential foundation.

About the Authors

V. S. Evstratov
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Victor S. Evstratov — lecturer

26 Yaroslavskoe shosse, Moscow, 129337

RSCI AuthorID: 895643, Scopus: 57197806238



A. P. Strelkov
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Alexey P. Strelkov — master’s student

26 Yaroslavskoe shosse, Moscow, 129337



E. A. Ginzburg
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Evgeniya A. Ginzburg — student

26 Yaroslavskoe shosse, Moscow, 129337



E. M. Zheleznov
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Egor M. Zheleznov — master’s student

26 Yaroslavskoe shosse, Moscow, 129337



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Review

For citations:


Evstratov V.S., Strelkov A.P., Ginzburg E.A., Zheleznov E.M. Integration of construction monitoring results into the information model of a capital construction project to create its digital twin. Construction: Science and Education. 2026;16(2):144-155. (In Russ.) https://doi.org/10.22227/2305-5502.2026.2.8

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