FEATURES OF THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONSTRUCTION

The paper considers the implementation of artificial intelligence(AI) in the construction industry. The main directions of AI implementation at five stages of designing buildings and structures, organization of construction and operation have been determined. At the first stage of "Planning and Design", information on similar construction projects should be collected and analyzed, taking into account financial resources, deadlines, features of buildings and other important factors, use automated design that takes into account geodetic data, geological features, climatic conditions, urban planning requirements, specifications and other factors to optimize the design. At the second stage, "Assessment of risks and prospects", AI uses forecasting algorithms to identify possible risks and determine their management strategies. The third stage, "Resource and supply management", optimizes logistics to predict building material needs and automates supply chain management, employee scheduling using machine learning algorithms to predict labor needs and optimize schedules. The fourth stage, "Automation and Monitoring", uses automated systems and drones controlled by artificial intelligence to perform routine and dangerous tasks on the construction site, and deploys a monitoring system that tracks the progress of construction work and other key parameters in real time.At the fifth stage, "Quality assessment and analysis of the completed project", data analysis is used to assess the quality of the completed work, automated verification of the completed work and determination of compliance with DBN standards, the technical task for the design, analysis of planning and spent resources. The application of artificial intelligence is considered on the example of resource planning in construction, which may include the use of various mathematical models and algorithms to optimize the use of resources. The advantages and disadvantages of the use of artificial intelligence and the prospects for its development in the construction industry are indicated.