The use of artificial intelligence technologies for the development of building renovation projects

Introduction. This work is dedicated to the study and development of approaches to applying artificial intelligence (AI) technologies for the automation of the development of organizational projects for building reconstruction. The reconstruction of construction objects is a complex and multifaceted process associated with a high degree of uncertainty, the need to consider numerous factors, and strict adherence to regulatory requirements. Given the growing need to optimize design processes and reduce labour costs, there is an objective necessity to create innovative methods that would enhance efficiency and minimize risks related to human error. The relevance of the study is driven by the digitalization of the construction industry, while its novelty lies in the integration of AI with modern design tools. The practical significance of the work is in its potential to improve project quality and reduce time expenditures.

Materials and methods. The study developed a methodology based on the comprehensive use of various types of neural networks adapted for data analysis and design automation. The proposed approach includes the integration of AI technologies with Building Information Modeling (BIM) tools.

Results. The developed methodology enables the creation of highly detailed digital models of objects, which serve as a basis for analysis and decision-making. The work accounts for engineering survey data and current regulatory requirements, ensuring compliance with standards. A concept of an automated system is proposed that combines the processing of large volumes of data, problem forecasting and automatic generation of documentation and is capable of analyzing input data, identifying optimal solutions and proposing options for organizing reconstruction taking into account technical and economic aspects.

Conclusions. The use of AI reduces project development time, improves calculation accuracy, minimizes errors, and ensures more rational resource use. The proposed methodology and system concept open new prospects for the digitalization and automation of the construction industry, contributing to the overall efficiency of reconstruction processes.

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