Topchiy D.V.

Doctor of Engineering Sciences, Professor, Moscow State University of Civil Engineering (National Research University), Department of Testing of Structures

Comprehensive analysis of digital technology applications in construction site management

https://doi.org/10.58224/2618-7183-2025-8-2-1
Аннотация
This study examines the transformative impact of digital technologies on construction site management in the Russian Federation. Using a multi-method research approach incorporating content analysis, comparative assessment, systems analysis, and SWOT evaluation, the research investigates how Building Information Modeling (BIM), Internet of Things (IoT) architecture, cloud computing, and artificial intelligence applications reconfigure traditional construction processes. Findings demonstrate that smart construction sites implement informatization across four critical dimensions: personnel management, machinery administration, material resource coordination, and construction target optimization. Comparative analysis reveals significant advantages of technology-enhanced approaches over conventional methods, particularly in multi-location collaborative workflows, simulation modeling, construction process visualization, and remote monitoring capabilities. The SWOT analysis identifies initial capital investment requirements, specialized workforce development, and systems integration complexities as primary implementation challenges. The research concludes that smart construction sites represent an evolutionary progression in the construction industry, with implementation effectiveness directly correlating to organizational digital maturity, ultimately establishing unprecedented levels of construction production efficiency and operational safety.
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Calendar planning of construction production, taking into account stochastic impacts

https://doi.org/10.58224/2618-7183-2025-8-4-9
Аннотация
The objective of this project is to enhance the technicues for creating informational models of alternative scenarios for the execution of the schedule and to expand the timeframe for predicting the progress of construction activities in the face of unpredictable factors. As a result of the study, the structure of a cellular automaton with memory, the cells of which quantitatively describe the states of objects of construction production, and the rules of transition between them were optimized. This paper introduces a comprehensive model framework for analyzing technologically and organizationally intertwined processes inherent in construction production. The model incorporates cellular automata to simulate spatial-temporal dynamics, vectors of complex resources to quantify heterogeneous inputs, and intricate process representations to capture the nuanced interdependencies within the cosnstruction system. A meticulously designed methodology has been developed to quantitatively evaluate technological and organizational capabilities, as well as the efficiency of implementing complex processes under constraints on both elemental and aggregated non-storage resources. This approach integrates advanced analytical techniques to assess performance metrics and identify optimization opportunities, ensuring alignment with strategic objectives and resource limitations. The proposed approach provides a robust analytical tool for optimizing construction workflows and enhancing overall project performance, leveraging advanced systems theory and resource optimization techniques.Methods for intensive and extensive optimization of complex process efficiency are formulated. Methods for optimal software implementation of the obtained algorithms are determined. In the shell of the relational database management system, a software package for forming basic and complex structures of a cellular automaton with memory is implemented.
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Development of a method to identify the need for capital repairs and renovation of administrative buildings

https://doi.org/10.58224/2618-7183-2024-7-6-9
Аннотация
Identification of needs for production resources during repairs, restoration and reconstruction strongly relies on administrative and engineering solutions. The scope of problems, addressed by these projects, encompasses limited production and non-production resources, as well as unpredictable external risks, or ambiguous initial information about construction facilities. Today all available decision-making principles, underlying the long-term planning of capital repairs and reconstruction of civil buildings, disregard a great number of production-related and administrative factors. Advanced design software and applications, developed on the basis of various mathematical principles, used to describe construction technologies and processes, facilitate decision making by specialists responsible for the implementation of such projects. In this case, principal factors include optimal labour costs and guaranteed quality. The article outlines basic decision-making principles underlying a program of capital repairs or reconstruction of civil buildings in operation. These principles are based on computing the potential of administrative and engineering solutions. Scientific research, conducted in the process of drafting this article, encompasses the analysis of various production-related factors characteristic of production processes, including capital repairs and reconstruction. These factors are represented as a system of linguistic data flow that specifies term sets and membership functions for each condition. Most significant factors are the technical condition of permanent buildings and structures, the attitude of consumers to the subject of the study, and its operation period starting upon completion of earlier repair or reconstruction, as well as the serviceability of internal and external engineering systems. As a result of scientific research, the authors developed and tested a new method used to identify the need for construction and installation work performed within the framework of capital repairs or renovation. The novel method includes specific requirements that apply to the scope of work and the sequence of its implementation.
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