Improvement of the marshalling yard operation algorithm based on the optimization of information flows

Abstract

The operation of a marshalling yard is a complex process in which there are many participants. A particular difficulty is associated with the need to receive, perceive and process large amounts of information coming from participants in the sorting process. It depends on how completely, reliably and timely the information will be received and analyzed. It depends on the adoption of a specific decision by the management staff of the marshalling yard.

The main subject of research in this article is the automated control of mechanisms and production processes of a marshalling yard, also optimization of the technological process of work, based on the improvement of information exchange while optimizing information flows. To achieve the goal of increasing the automation of technological processes of the sorting hump. This article discusses possible options for automating technological processes in the organization of work using the example of a sorting hump. Study of the algorithm of the marshalling yard for the formation of freight trains, through the optimal construction of information links. For this purpose, an analysis of the algorithm of the marshalling yard was carried out. The main functions of a modular automated system for the development of preliminary decisions, taking into account a larger amount of data, are proposed and described automatically received from the relevant information systems, such as the automated system for monitoring the technical condition of the rolling stock of the automated monitoring system of the automated monitoring system of the substation, the automated control system of the marshalling yard and others. The requirements for the developed algorithm of the automatic control system for the work of the marshalling yard for the formation of freight trains have been formed.

The paper notes the advantages of introducing a modular automated system of preliminary decisions, which will allow the management staff of each station section to choose the best solutions from the ones offered by the system, taking into account the analysis of a larger amount of processed information.