Intelligent automation of telegram processing processes for adjusting the normative train schedule

Abstract

The article deals with the technologies of robotic process automation and intelligent automation used in JSC "Russian Railways", technological aspects of adjusting the normative train schedule. The technology of interaction between the APC ELBRUS hardware-software complex, the automated system GID "Ural-VNIIZhT" and the Centralized database of freight train timetables for the task of maintaining the normative train schedule is considered. Examples of operating software robots and chatbots (virtual consultant) in corporate information systems operated in traffic control directorates are presented. Projects using artificial intelligence technologies are presented. The identified and actual problems of support of the technology of maintaining normative schedules of goods trains are described. The analysis and selection of means of intellectual automation of processes and intellectual processing for text recognition in telegrams are carried out. Problems of binary image segmentation and Python programming language libraries for processing and analysis of telegrams using methods of recognition and conversion of incoming information for intelligent process automation are considered. Prospects of development of automation of maintenance processes using software and intelligent robots are defined.