Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis

Dmitriy Shvalov

doi:10.20295/2412-9186-2022-8-2-178-187

UDC 65.011.56 UDC 658.512 UDC 656.25

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RESOURCE COST REDUCTION WHILE PLANNED-PREVENTIVE TECHNICAL SERVICING OF RAILWAY AUTOMATION DEVICES ON DIGITAL MODEL BASIS Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis

АА Аа

Published in Transport automation research · Volume 8, Issue 2 · Pages 178–187 · Rubric: Operation of transport systems

DOI: https://doi.org/10.20295/2412-9186-2022-8-2-178-187

Received: 14.06.2022 Accepted: 14.06.2022 Published: 14.06.2022

Authors

Dmitriy Shvalov

Academic degree: candidate of technical sciences

Science rang: docent

Rostov State University of Means of Communication “Railway Automation and Remote Control” Department · Rostov-on-Don

ABSTRACT

This article considers a row of issues and problems in the area of optimal planning of jobs on technical servicing of railway automation and telemechanics devices in the process of planned-preventive servicing realization including the analysis of modern level and possibilities to increase task number being solved during automation of planning. Technologies for infrastructure device servicing, providing for minimizing and ideally - for influence elimination of so-called «human factor» on work implementation quality, are considered presently to be the most promising. One of the ways to reduce unproductive resource costs is to develop new approaches to technical servicing planning at that to, both, long-range planning (distribution of individual jobs by dates) and operational planning (making up an order to fulfill individual jobs within a shift). A vital task is a work planning automation in the frames of planned-preventive servicing of railway automation and telemechanics devices on the basis of fixation of technological situations that’re equivalent to functioning imitation of devices in various modes. In order to realize the set task, it’s proposed to develop corresponding digital models, which provide for technological situation identification and for the definition of work set, which will be considered as implemented, as well as the set of activities, which’re needed to be implemented on time.

KEYWORDS

railway automatics and telemechanics devices, technical servicing, technical servicing planning, digital model

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GOST

Shvalov D. V. Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis // Transport automation research. 2022. no. 2. pp. 178-187. DOI: https://doi.org/10.20295/2412-9186-2022-8-2-178-187. (Date of access 23.10.2026).

MLA

Dmitriy Shvalov. "Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis." Transport automation research 8.2 (2022): 178-187. DOI: https://doi.org/10.20295/2412-9186-2022-8-2-178-187.

APA

Shvalov D. V. (2022). Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis. Transport automation research, 8(2), 178-187. https://doi.org/10.20295/2412-9186-2022-8-2-178-187

Chicago

Dmitriy Shvalov. "Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis." Transport automation research 8, no. 2 (2022): 178-187. https://doi.org/10.20295/2412-9186-2022-8-2-178-187.

WIKI

{{cite journal | author = Shvalov D. V. | title = Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis | journal = Transport automation research | year = 2022 | volume = 8 | issue = 2 | pages = 178-187 | doi = 10.20295/2412-9186-2022-8-2-178-187 }}

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RESOURCE COST REDUCTION WHILE PLANNED-PREVENTIVE TECHNICAL SERVICING OF RAILWAY AUTOMATION DEVICES ON DIGITAL MODEL BASIS Resource Cost Reduction While Planned-Preventive Technical Servicing of Railway Automation Devices on Digital Model Basis

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