Development of an approach to creation of an automated control system for the rail grinding process

Abstract

At all times, a properly organized railway network has served as a guarantor of the development of other branches of the state. In the Russian Federation, freight and passenger turnover on rail transport are increasing every year. Therefore, it is necessary to adapt to modern realities and direct efforts and finances to modernize the system for the maintenance and repair of infrastructure facilities. During the operation of the railway track, various rail defects inevitably arise (metal staining, internal longitudinal and transverse cracks, wear of the transverse and longitudinal profile, etc.). In order to eliminate such defects, the rail grinding technology is used. JSC «Russian Railways» use a Unified Corporate Automated Infrastructure Management System (UCAIMS) for accounting and analysis of infrastructure facilities. Unfortunately, UCAIMS does not have the functionality for solving such narrow-focused tasks as organizing and planning the rail grinding process. As a solution to the current problem, it is proposed to develop an automated rail grinding control system (ARGCS), which will be integrated into UCAIMS. Based on the results of the theoretical study, an approach to the creation of an automated rail grinding control system (ARGCS) with the possibility of integration into UCAIMS is proposed. The purpose of ARGCS should be in making high-quality and timely technical and economic decisions during planning work on grinding rails in the railway track conditions. The system will be based on a fundamentally new approach that enables performing timely grinding of rails with minimum costs and ensuring an increase in the efficiency of operation, maintenance and repair of the railway track. The stated requirements are planned to be achieved using a new work planning procedures. For this purpose, a dynamic programming model has been developed. For its functioning, the values of defects are divided into three degrees of importance, transition probability matrices are compiled, defects are ranked, as well as an algorithm for choosing the priority of the rail grinding site.