Receipt date: 
17.11.2022
Bibliographic description of the article: 

Alekseenko V.A., Pultyakov A.V. Improvement of information support for personnel during monitoring pre-fault conditions of devices for control of rolling stock parameters during a train// Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2022. No. 4(16). P. 34-43. DOI: 10.26731/2658-3704.2022.4(16).34-43 [Accessed 17/12/22].

Year: 
2022
Journal number: 
УДК: 
681.518.5
DOI: 

10.26731/2658-3704.2022.4(16).34-43 

Article File: 
Pages: 
34
43
Abstract: 

This paper describes the structure and basic principles of operation of the automated system for monitoring the parameters of the rolling stock on the move of the train based on the equipment of the technical means of the CTDM. In connection with the increase in the intensity of freight traffic and the increase in the speed of movement on the railways of Eastern Siberia, the control of the technical condition of key units of the rolling stock plays a key role in ensuring traffic safety indicators. To ensure the trouble-free and safe operation of the equipment for monitoring the parameters of the rolling stock while the train is running, monitoring of pre-failure conditions has been introduced on the road network of the Russian Federation in recent years. The paper presents the results of the analysis of the operation of devices for monitoring the parameters of the rolling stock on the move of the train on the East Siberian Railway, which show a significant number of cases of pre-failure states of the main components of the CTDM during the annual period of time. The results of using the software for improving the information support of personnel actions when monitoring the pre-failure states of CTDM devices are clearly shown. The use of additional software for the tasks of monitoring pre-failure states will reduce the influence of factors that reduce the effectiveness of the employees of signaling, centralization and blocking (SCB) distances and monitoring specialists.

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