Abstract

BACKGROUND: An essential condition of existence for enterprises of all forms in the face of rapid external and internal transformations is digital reformation of their business processes. The Saint Petersburg subway is no exception, which has an aging fleet of escalators, for which the introduction of digital technologies, accompanied by the optimization of the control system for the main technological processes, can provide a balance between ever-increasing costs and limited, not always rhythmically flowing supplies. AIMS: To establish one of the possible options for the software architecture for planning and monitoring maintenance and repair of the subway escalator fleet. At the same time, the object of research in the study is the subway escalator fleet, and the subject is automation of the maintenance and repair system. METHODS: Analysis of modern architectural solutions used in the design of software (materials), and the synthesis on their basis of a microservice architecture implemented by tools taken from the field of machine learning and artificial intelligence are the methods used in this study. RESULTS: A significant result of the work for practical application is the proposed scheme of the two-circuit IT landscape of the information system and the block diagram of the software implementing the internal processing circuit. The proposed version of the software is intended for regular use as a tool for monitoring and controlling the register of management objects (works) that create and do not create value for the company (providing/not providing transportation of passenger traffic). At the same time, the implementation of the proposed circuit design solution can be carried out using ready-to-use and free software components, significantly reducing the design time and the cost of its creation and operation. CONCLUSIONS: The results obtained may be one of the options for implementing the concept of digital transformation of the maintenance and repair system of the subway escalator fleet.

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