10.26 DEVELOPMENT OF A DIAGNOSTIC SYSTEM USING ARTIFICIAL INTELLIGENCE OF A RAILWAY TRACK

Abstract

In this article, the development of technologies and progress in the field of artificial intelligence (AI) have led to significant changes in equipment diagnostics and monitoring systems. The introduction of AI into these systems makes it possible to more accurately and timely detect possible failures and malfunctions in the operation of equipment, as well as anticipate possible problems, deficiencies and damages.

Key words: analytical and statistical modeling, diagnostic and monitoring systems, quality and reliability of input data for analysis.

In2023, theglobalAImarketgrewby18%to650billionsoums.Thetransportindustry is among the leadersintechnologyimplementation.Russianrailways are alsofollowingthistrend:today the holding is implementingmore than 50projectsusingartificialintelligence. The mainrolein the AIdevelopments of Russian Railways is played by the IndustryCenter for the DevelopmentandImplementation of Russian RailwaysInformationSystems.Thedivisionhasreal-world examples of industrialapplications of alreadycreatedAItechnologies,and the specialists of the OCR are constantlyexploringnewAIopportunities.AlexanderLyubchenko, Head of the ArtificialIntelligenceLaboratory at the Russian RailwaysIndustrialCenter for the DevelopmentandImplementation of InformationSystems(OCRV), told about the mostinterestingprojects.

The holding uses a wide range of developments in the field of artificial intelligence: computer vision, natural language processing and speech technologies, as well as predictive analytics. Generative and even emotional artificial intelligence technologies are under research. Modern solutions in Russian Railways are used exclusively to improve the efficiency and safety of basic technological and business processes. "Before the introduction of an AI service into a corporate automated system, an R&D cycle is implemented to study the technological process, collect and analyze data, prepare training datasets, develop and test models and find the best target process in terms of efficiency. To show how technologies work, we make demonstration prototypes," Alexander Lyubchenko said. In recent years, the OCR has accumulated extensive experience in implementing projects using AI technologies, including implementation. For example, artificial intelligence is already helping with labor rationing.