EXPERIENCE IN THE USE OF ARTIFICIAL INTELLIGENCE IN MAKING MANAGERIAL DECISIONS IN THE CONSTRUCTION OF REAL ESTATE

Valery Mishchenko; Alexey Semenov; Natalia  Bredikhina; Aleksandr Bredikhin

doi:10.5937/jaes0-42295

Valery Mishchenko Voronezh State Technical University, 20-let Octyabrya street, 84, Voronezh, Russia https://orcid.org/0000-0003-2385-5426
Alexey Semenov Voronezh State Technical UniversityVoronezh State Technical University, 20-let Octyabrya street, 84, Voronezh, Russia
Natalia Bredikhina Southwest State University, 50 Let Octyabrya street, 94, Kursk, Russia https://orcid.org/0000-0001-9719-4136
Aleksandr Bredikhin Natonal Research University Moscow State University of Civil Engineering,26 Yaroslavskoye Shosse, Moscow, Russia

DOI: https://doi.org/10.5937/jaes0-42295

Keywords: artificial intelligence, BIM modeling, construction organization, Harrington scale, generative design, neural network, information technology, diagrids

Abstract

The article deals with the problem of using artificial intelligence (AI) in the construction sector, since these systems are not being actively implemented, though AI capabilities can significantly simplify the entire process of erecting buildings and structures, including the development of improved business plans, adjusting the progress of the project directly on the construction site, making suggestions for management decisions in case of deviations from schedules and logistics plans. The experience of Chinese and domestic construction organizations in this area has been studied. A scheme for the implementation of an artificial intelligence system in construction production has been developed, the necessary resources for the development of machine learning in this area have been analyzed. It is concluded that for correct decision-making it is necessary to apply the principles of discrete mathematics, in particular, the distribution of expert assessments accepted as linguistic variables on the Harrington desirability scale with the construction of the membership function.

References

Azati: Artificial intelligence in construction. Internet portal: Business network, from https: //elport.ru/news/Azati_iskusstvennyiy_intellekt_v_stroitelstve_1258&page=514, accessed on 2023-02-06.

atreninskiy, S.I., Gorbaneva, E. P., Mishchenko, A. V., Bredikhina, N. V. (2022). Methodological approach to planning the reconstruction of urban environment. Journal of Applied Engineering Science. Vol.20, № 1, 206-211, DOI: 10.5937/jaes0-34560

Lyubchenko, V.Y., Iskhakov, A.F., Pavlyuchenko, D.A. (2020). Rating of Organization's Energy Efficiency Based on Harrington's Desirability Function. International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), p.1-6, doi:10.1109/FarEastCon50210.2020.9271239.

Bredikhina, N.V. (2021). Strategic aspects of the production and economic potential of urban investment and construction sector. Journal of Applied Engineering Science. Vol.19, № 2, 483-487, DOI: 10.5937/jaes0-31444

Souza, A., Lima, G., Nalon, G., Lopes, M., Oliveira, A., Lopes, G., Olivier, M., Pedroti, L., Ribeiro, J., Franco de Carvalho, J.M. (2021). Application of the desirability function for the development of new composite eco-efficiency indicators for concrete. Journal of Building Engineering. 40. 102374. DOI:10.1016/j.jobe.2021.102374

Sadollah, A. (2018). Introductory Chapter: Which Membership Function is Appropriate in Fuzzy System? Fuzzy Logic Based in Optimization Methods and Control Systems and its Applications. Tehran, Iran, DOI:10.5772/intechopen.79552

Lapidus, A., Shesterikova, Y. (2021). A Study of a Comprehensive Quality Indicator of Multi-Storey Residential Buildings While the Indicators of the Groups Factors are Changing. IOP Conference Series: Materials Science and Engineering. 1079. 032023. DOI:10.1088/1757-899X/1079/3/032023

Sushkova, O.V. (2020). Features of the use of artificial intelligence technology by self-regulatory organizations in the activities of subjects of business law. Bulletin of the University named after O.E. Kutafin (MSUA), № 7, 68-75, doi.org/10.17803/2311-5998.2020.71.7.068-075

Gorodnova, N.V. (2021). Application of artificial intelligence and nanotechnologies in the investment and construction sector of Russia. Vestnik NSUEU, No.3, 81-95, doi.org/10.34020/2073-6495-2021-3-081-095

Miller, T. (2018). Explanation in artificial intelligence: insights from the social sciences. Artif Intell 267:1–38. https://doi.org/10.1016/j.artint.2018.07.007

Gazarov A.R. (2020). Benefits of using artificial intelligence in the construction industry. Izvestia of the Tula State University. Technical science, No. 4, 136-139.

Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, Article 103299. https://doi.org/10.1016/j.jobe.2021.103299

Boonpheng А., Kongsong W., Kongbenjapuch K.,Pooworakulchai Ch., Harnphanich B., Roikulcharoen S. (2020). Benefits of blockchain technology and cryptocurrency for construction engineering management, International Journal of Management (IJM), 11(10), 1484-1494. DOI: 10.34218/IJM.11.10.2020.135

Sheldon, A., Dobbs, T., Fabri, A., Zavoleas, Y., Gardner, N., Hank Haeusler, M., Ramos, C. (2019). Putting the AR in (AR) chitecture-Integrating voice recognition and gesture control for Augmented Reality interaction to enhance design practice. Proceedings of the 24th CAADRIA Conference, DOI:10.52842/conf.caadria.2019.1.475

Vigneault, M., Boton, C., Chong, H., Cooper-Cooke, B. (2020). An innovative framework of 5D BIM solutions for construction cost management: a systematic review, Arch. Comput. Methods Eng. 27 (4), 1013-1030, DOI:10.1007/s11831-019-09341-z

Zheng, R., Jiang, J., Hao, X., Ren, W., Xiong, F., Ren, Y. (2019). bcBIM: A Blockchain-Based Big Data Model for BIM Modification Audit and Provenance in Mobile Cloud, Mathematical Problems in Engineering, p. 1-13, doi.org/10.1155/2019/5349538

How are AI technologies used in design and construction? Internet portal: Tenant, from https://www.arendator.ru/articles/162070-kak_tehnologii_ii_ispolzuyutsya_v_proektirovanii_i_stroitelstve, accessed on 2023-02-06.

Munawar, H.S., Ullah, F., Qayyum, S., Shahzad, D. (2022). Big Data in Construction: Current Applications and Future Opportunities. Big Data and Cognitive Computing, 6 (1), https://doi.org/10.3390/bdcc6010018

Kaushik, S. (2018). Use of Information Technology in Construction Industry for Supply Chain Management, International Research Journal of Engineering and Technology (IRJET), 05 (07), 258-265

Rajyaguru, A.H. (2022). Analytical Study of Construction Equipment Management System at Construction Sites, International Journal of Civil Engineering and Technology (IJCIET). 13(9),14-21, doi: https://doi.org/10.17605/OSF.IO/5CF6K.

A platform using artificial intelligence to detect errors during construction has raised $ 10 million. Internet portal: Business network, from https://elport.ru/news/platforma_ispolzuyuschaya_isk usstvennyiyy_intellekt_dlya_1258, accessed on 08.11.2023-02-06.

Every day INDUS.AI controls more than 100 million square feet of construction sites using artificial intelligence. Internet portal: Business network, from https://elport.ru/news/kajdyiy_den_INDUSAI_kontroliruet_bolee_100_million_1258, accessed on 2023-02-06.

AI was taught to determine where it is necessary to repair the road in the first place. Internet portal: Habr, from https://habr.com/ru/post/419245, accessed on 2023-02-06.

"Smart homes" from Sber and GC "Ingrad" will appear in Moscow. Internet portal: Business network, from https://elport.ru/news/umnyie_doma_ot_sbera_i_gk_i ngrad_poyavyatsya_v_moskve_25382, accessed on 2023-02-06.