Snowplows operation organization and work processes of the SM and PSS types based on automated monitoring

The guarantee of the uninterrupted and safe railway transport operation and the fulfillment of the term of transportation is, first of all, the prompt cleaning and removal of snow from the tracks. Moreover, there are no scientific studies devoted to solving problems related to optimizing the operation of snowplows applicable to Russian Railways – this led to the choice of the study.

The purpose of the study: to identify the snowplow work processes patterns, depending on the length of the removed paths and the volume of possible loading, taking into account the influence of environmental factors. The subject of the study is: a set of methods and means of automated monitoring and ways to improve the efficient functioning and improvement of the snowplow workflow.

The amount of snow removed and the operating time of the snow blower in the operating mode are changing values that are influenced by many other factors, so it is advisable not to use these data for comparative characteristics and statistical analysis. As a comparative indicator, on which external factors do not have such a significant impact, we propose to use the length of the removed paths. We will develop a mathematical justification for the relationship between the length of the removed paths and the volume of snow removed, the time of the working cycle, the amount of snow that has fallen, and the ambient temperature through multiple regressions. From the obtained mathematical dependence, we can express the time of the working cycle and determine the costs of repairs, the required amount of fuel, the number of people involved, and therefore plan the payroll and bonus fund.

The theoretical significance of the study lies in the creation of a mathematical model of the snow removal process and the snowplow operating efficiency evaluation of the SM and PSS types. The practical significance of the work lies in the development of a proposal for reforming the system for making planned decisions and monitoring the effectiveness of snow removal operations through automated monitoring by the AS KRSPS system.

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