Implementation of artificial intelligence and VR into the VAT monitoring system on main pipelines

The paper presents the development and implementation of an innovative system for monitoring the stress-strain state (SS) of trunk pipelines using artificial intelligence (AI) and virtual reality (VR) technologies. The main focus is on the integration of machine learning algorithms for analyzing large volumes of data from sensors and building predictive models for failure risk assessment. VR technology provides intuitive visualization of pipeline conditions, allowing operators and engineers to interact with digital twins of the infrastructure in real time.