Implementation of standards for organizing the process of clearing tracks from snow based on automated monitoring, taking into account the length of cleared tracks

   Prompt clearing of snow from tracks is a guarantee of uninterrupted and safe operation of railway transport and meeting deadlines for cargo delivery in winter. In accordance with the Development Strategies and the long-term development program of Russian Railways for the period until 2030, the formation of new regulatory and technical documentation is provided, which should ensure an increase in: the safety of railway transport, the reliability of complex technical systems and the efficiency of operating activities. But in the approved and put into effect order No. 1733/r with the attachment of a new edition of the Instructions for preparing for work in winter and organizing snow control on railways, in other branches and structural divisions of Russian Railways, as well as its subsidiaries, the opposite is not provided optimization of costs, specifically for the process of removing snow from tracks, and increasing labour productivity; there is no provision for improving technology and introducing innovations, including through improving standards as part of the introduction of new technical means and equipment, the introduction of resource-saving technologies – this determined the choice of the topic of this study.
   Purpose of the study: to identify the reasons for the ineffective organization of the snow removal machines work, which entails their long-term occupation of station tracks and, as a consequence, a decrease in labour productivity, as well as a significant excess of the list of equipment and crews over what is technically necessary. The introduction of new standards for organizing the process of clearing tracks from snow based on automated monitoring and the length of cleared tracks will solve these problems.
   The subject of the research is the substantiation of effective organization of snow removal machines of the SM and PSS types using automated monitoring and a mathematical model, taking into account the natural and climatic conditions of the West Siberian Railway.
   The volume of snow removed and the operating time of the snowplow in operating mode are variable values that are influenced by many other factors that are difficult to plan, so it is advisable not to use these data for comparative characteristics and statistical analysis. As a comparative indicator, which is not significantly influenced by external factors, we propose to use the length of tracks cleared of snow.
   We will develop a mathematical justification for the relationship between the length of tracks cleared of snow and the volume of snow removed, work cycle time, amount of snow fallen, and ambient temperature using multiple regression.
   The theoretical significance of the work lies in the development of a proposal on reforming the system for making planning decisions and monitoring the effectiveness of snow removal work through automated monitoring by the AS KRSPS system. The practical significance of the study is to substantiate the transition of operating standards for snow removal machines of the SM and PSS types from unloading to the length of tracks cleared of snow and to assess the real operating efficiency of snow removal machines through automated monitoring.

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