Implementation of Artificial Intelligence in the Construction Industry and Analysis of Existing Technologies

Technology Audit and Production Reserves, 2(2(58), 12–15 (2021). doi: 10.15587/2706-5448.2021.229532

4 Pages Posted: 20 May 2021

See all articles by Kateryna I. Kyivska

Kateryna I. Kyivska

Kyiv National University of Construction and Architecture, Kyiv, Ukraine

Svitlana Tsiutsiura

Kyiv National University of Construction and Architecture

Date Written: April 30, 2021

Abstract

The object of research is the process of using information technology in the construction industry. One of the most problematic areas is increasing the efficiency of the construction industry through the introduction of digital technologies. The research carried out is based on the application of an approach that is implemented using artificial intelligence. The study used machine learning and fuzzy logic methods to mark visual data and analyze it for potential threats, as well as to reduce all possible risks. The main feature of this approach is that using machine learning technology, it is possible to reduce the risks of a project before they affect its profit. So, using artificial intelligence in combination with BIM technologies, it is possible to predict work on construction projects based on real-time data, past activities and other factors in such a way as to optimize construction processes. The benefits to be gained from implementing digital processes will become even more evident in future projects as AI continues to analyze company data. This is due to the fact that the proposed approach using fuzzy logic has a number of features, in particular, the more information machine learning algorithms process, the more complex they become. As a result, they provide even more useful information and allow to make even better decisions. This provides an opportunity to minimize risks and efficiently allocate resources when working on projects. Compared to conventional information technology, artificial intelligence can be used to build a knowledge-based security management system and combine statistical probabilities to help mitigate security risks in construction projects.

Keywords: artificial intelligence, information technology, BIM technology, machine learning, automation of the construction industry

Suggested Citation

I. Kyivska, Kateryna and Tsiutsiura, Svitlana, Implementation of Artificial Intelligence in the Construction Industry and Analysis of Existing Technologies (April 30, 2021). Technology Audit and Production Reserves, 2(2(58), 12–15 (2021). doi: 10.15587/2706-5448.2021.229532, Available at SSRN: https://ssrn.com/abstract=3848553

Kateryna I. Kyivska (Contact Author)

Kyiv National University of Construction and Architecture, Kyiv, Ukraine ( email )

Ulitsa Vladimirskaya, 60
Kyiv, 01601
Ukraine

Svitlana Tsiutsiura

Kyiv National University of Construction and Architecture ( email )

Povitroflotsky ave., 31
Kyiv, 03037
Ukraine

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