Innovative technologies and artificial intelligence in the construction sector

Introduction. The present study analyzed the implemented innovative cross-cutting technologies in the construction sector of the Russian Federation, aimed at facilitating the production and design activities of construction organizations. The relevance of the study lies in the necessity to achieve technological sovereignty in the construction industry of the Russian Federation. Aim. To propose recommendations for the implementation process of these technologies and their commercialization in the construction industry, based on the areas of transformation within the construction sector of the Russian Federation identified through innovative technologies. The objectives include analyzing the innovative cross-cutting technologies currently utilized at construction sites in the Russian Federation and abroad, and outlining the main directions for the development of innovative technologies in construction. Materials and methods. The study involved general methodological approaches — systemic-creative and systemic-informational — along with methods of systemic analysis and logical analysis, as well as generalization and classification. The research object of study consists in cross-cutting safety and design technologies at construction sites. Specifically, the study analyzes BIM technology, unmanned aerial vehicles, and others currently used at construction sites in Russia and abroad, examines the current state of transformations in the construction sector of the Russian Federation considering these innovations, and identifies key directions for the development of innovative technologies in construction, including the application of artificial intelligence.

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Publication Details

Journal
Bulletin of Science and Research Center of Construction
Published
2024-12-24
DOI
https://doi.org/10.37538/2224-9494-2024-4(43)-166-181
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative technologies and artificial intelligence in the construction sector

Aleksandr B. Lanchakov
Bulletin of Science and Research Center of Construction
BIM and Construction Integration
article

Innovative technologies and artificial intelligence in the construction sector

Aleksandr B. Lanchakov
article en

Abstract

Introduction. The present study analyzed the implemented innovative cross-cutting technologies in the construction sector of the Russian Federation, aimed at facilitating the production and design activities of construction organizations. The relevance of the study lies in the necessity to achieve technological sovereignty in the construction industry of the Russian Federation. Aim. To propose recommendations for the implementation process of these technologies and their commercialization in the construction industry, based on the areas of transformation within the construction sector of the Russian Federation identified through innovative technologies. The objectives include analyzing the innovative cross-cutting technologies currently utilized at construction sites in the Russian Federation and abroad, and outlining the main directions for the development of innovative technologies in construction. Materials and methods. The study involved general methodological approaches — systemic-creative and systemic-informational — along with methods of systemic analysis and logical analysis, as well as generalization and classification. The research object of study consists in cross-cutting safety and design technologies at construction sites. Specifically, the study analyzes BIM technology, unmanned aerial vehicles, and others currently used at construction sites in Russia and abroad, examines the current state of transformations in the construction sector of the Russian Federation considering these innovations, and identifies key directions for the development of innovative technologies in construction, including the application of artificial intelligence.

Bulletin of Science and Research Center of ConstructionVol. 43(4)
Moscow Institute of Physics and Technology (RU), Moscow Power Engineering Institute (RU), Moscow Aviation Institute (RU)
Openalex Percentile: Top 71%
BIM and Construction Integration
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