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"
  • Construction Project Management Systems Based On Data, Process Modeling And Machine Learning
  • UDC 004.89:69.05
    doi: 10.33622/0869-7019.2026.02.34-38
    Andrey M. SHAKHRAMANYAN, andreyshakhramanyan@gmail.com
    National Research Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow 129337, Russian Federation
    Abstract. The article examines the problem of data fragmentation in the construction industry, as well as current trends in digitalization, the adoption of artificial intelligence, and the development of process-oriented management. It demonstrates that fragmented information leads to a nonlinear increase in process inefficiency and a decline in the quality of managerial decision-making. The paper reviews recent regulatory changes, including the evolution of requirements for information modeling and the reform of state supervision. The necessity of a comprehensive process-based approach and the transition to data-centric digital platforms is substantiated. The article proposes efficiency metrics reflecting the speed and quality of processes and highlights the potential of AI agents to enhance the productivity and manageability of construction projects. It is shown that the integration of processes and data forms the basis for creating a digital twin of an organization. The considered approaches are oriented toward practical application and scalability under real-world construction conditions.
    Keywords: digitalization, BIM, process-based approach, construction supervision, artificial intelligence, machine learning
  • REFERENCES
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    2. Shakhramanyan A. M. Digital tools for construction supervision: from regulatory requirements to end-to-end analytics. Available at: https://smeta-na.ru/tehnologii/cifrovye-instrumenty-stroitelnogo-kontrolya-ot-normativnyh-trebovanij-do-skvoznoj-analitiki/ (accessed 31.10.2025). (In Russ.).
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  • For citation: Shakhramanyan A. M. Construction Project Management Systems Based on Data, Process Modeling and Machine Learning. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2026, no. 2, pp. 34-38. (In Russ.). doi: 10.33622/0869-7019.2026.02.34-38

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