Application of artificial intelligence in the construction industry: advantages and possible ways of further development
https://doi.org/10.21285/2227-2917-2025-2-336-346
EDN: YHWLLE
Abstract
The construction industry, like many other sectors of the national economy, is undergoing a transition to digitalization and digital transformation using artificial intelligence. This issue has emerged most acutely in recent years. In modern construction, there are many different factors that can affect the cost of a project, ranging from the choice of materials to the complexity of the design. Traditional methods of cost determination include manual calculations and the use of standard price estimates, but these methods do not always provide high accuracy and require a lot of time and resources. The use of artificial intelligence in determining the cost in construction can significantly simplify and speed up the process. The relevance of this topic is the digitalization of construction sites and the use of artificial intelligence, which is able to take into account changes in the source data and analyze the relationship between various project parameters, which makes it possible to predict costs for future periods. In recent years, sufficient attention has been paid to artificial intelligence issues in terms of the development and application of virtual algorithms in projects, which makes it possible to optimize construction processes at all stages of the life cycle, including quality and safety monitoring.
About the Authors
T. O. Shlepneva
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Tatiana O. Shlepneva, Cand. Sci. (Econ.), Associate Professor of the Department of Real Estate Expertise and Management
Author ID: 749815
83 Lermontov St., Irkutsk 664074
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
O. V. Nikishina
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Olga V. Nikishina, Senior teacher of the Department of Real Estate Expertise and Management
Author ID: 504169
83 Lermontov St., Irkutsk 664074
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
E. S. Dedyukhina
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Ekaterina S. Dedyukhina
Author ID: 688810
83 Lermontov St., Irkutsk 664074
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
References
1. Bakanov A.S., Oboznov A.A. Ergonomics of The User Interface: From Design to Modeling of Human-Computer Interaction. Moscow: Institute of Psychology of the Russian Academy of Sciences, 2011. 176 p. (In Russ.).
2. Kuzina O.N. Information Modeling of Construction Object Cost at Each Stage of Lifecycle. Scientific and Technical Volga Region Bulletin. 2019;1:107-111. (In Russ.). EDN: YXGDVZ.
3. Ndairagidzhe Iv., Lapidus A.A. Use of Artificial Neural Networks for Optimizing Processes in Construction. Tekhnologiya i organizatsiya stroitel'nogo proizvodstva. 2018;4:3-6. EDN: WTKJVK.
4. Popov D.V. Advantages and Disadvantages of Implementing Artificial Intelligence in The Implementation of Construction Investment Projects. Dnevnik nauki. 2023;11:1-8. (In Russ.). https://doi.org/10.51691/2541-8327_2023_11_7. EDN: LJPEOP.
5. Gazarov A.R. Advantages of Using Artificial Intelligence in The Field of Construction. Izvestiya Tula State University. 2020;4:136-139. (In Russ.). EDN: DZQOPN.
6. Holubava V.S., Nhuen T.T.N. Foreign Experience in Using Artificial Neural Network for Construction Cost Prediction. Proceedings of BSTU. Issue 5: Economics and Management. 2023;1:22-30. (In Russ.). https://doi.org/10.52065/2520-6877-2023-268-1-3. EDN: NDYPVF.
7. Gusarova A.A., Mokrova N.V. Artificial Intelligence Tools for Information Modeling of Construction Objects. In: Aktual'nye problemy stroitel'noi otrasli i obrazovaniya – 2021. Sbornik dokladov Vtoroi Natsional'noi nauchnoi konferentsii = Actual Problems of the Construction Industry and Education – 2021. Collection of reports of the Second National Scientific Conference. 8 December 2021, Moscow. Moscow; 2022. P. 949–956. (In Russ.). EDN: VNJTVN.
8. Nurmammedova O., Abduwalieva A., Ahunova M. Application of Artificial Intelligence in Building Design: The Future of the Construction Sector. Internauka. 2023;36-2:37-38. (In Russ.). EDN: HGQUTU.
9. Pilyay I.V. Using Artificial Intelligence Systems to Estimate the Time and Cost of a Construction Project. Construction and Architecture. 2023;11(1):19-19. (In Russ.). https://doi.org/10.29039/2308-0191-2022-11-1-19-19. EDN: PJKRVF.
10. Pomulev A.A. Artificial Intelligence as an Object of Valuation. Property Relations in the Russian Federation. 2022;6:42-56. (In Russ.). https://doi.org/10.24412/2072-4098-2022-6249-42-56. EDN: MZGKYA.
11. Rafaelyan A.V., Anoprienko D.S. Prospects for The Use of Artificial Neural Networks in Construction. In: VIII Mezhdunarodnyi studencheskii stroitel'nyi forum – 2023. Sbornik dokladov VIII Mezhdunarodnogo studencheskogo stroitel'nogo foruma – 2023 = VIII International Student Construction Forum – 2023. Collection of Reports of The VIII International Student Construction Forum – 2023. 28 November 2023, Belgorod. Belgorod; 2023. P. 151–154. (In Russ.). EDN: CPFYUX.
12. Granova B.E., Guliakin D.V. Artificial Intelligence in Construction Industry: Present Status, Prospects for Development. Naukosfera. 2023;4-1:172-177. (In Russ.). https://doi.org/10.5281/zenodo.7821751. EDN: ASCAWE.
13. Gulyakin D.V., Ivanova S.O. The Role of Artificial Intelligence in Building. Naukosfera. 2023;5-1:208-211. (In Russ.). https://doi.org/10.5281/zenodo.7962210. EDN: XJKJJM.
14. Mazhanskaya E.V., Pasechnik A.S., Kalinina D.A., Bekker M.S., Serebrennikova S.A., Polegenko A.V. Economic Factors That Affect the Cost of Construction. Economic Sciences. 2020;184:58-61. (In Russ.). https://doi.org/10.14451/1.184.58. EDN: OIIVON.
15. Shishkina D.N. Forecasting The Economic Effect of Ai Application in Construction: Analysis and Relevance. Economic Vector. 2024;1:163-168. (In Russ.). https://doi.org/10.36807/2411-7269-2024-1-36-163-168. EDN: AZHHAR.
Review
For citations:
Shlepneva T.O., Nikishina O.V., Dedyukhina E.S. Application of artificial intelligence in the construction industry: advantages and possible ways of further development. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2025;15(2):336-346. (In Russ.) https://doi.org/10.21285/2227-2917-2025-2-336-346. EDN: YHWLLE
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