Contacts
Edition of Scientific peer-reviewed journal «Proceedings of Petersburg Transport University»
Address: Russia, 190031, Saint Petersburg, Moskovskii avenue, 9
Phone: +7 (812) 457-85-36
E-mail: brni@pgups.ru
Edition of Scientific peer-reviewed journal «Proceedings of Petersburg Transport University»
Address: Russia, 190031, Saint Petersburg, Moskovskii avenue, 9
Phone: +7 (812) 457-85-36
E-mail: brni@pgups.ru
Т. А. Belash, A. V. Kuznetsov, V. B. Martirov. The contribution of architects and civil engineers of the Petersburg University of Railways to the formation of the transport and urban infrastructure of BAM [more] [back]
To the formation of the transport and urban infrastructure of BAMThe article traces the contribution of teachers and staff of the departments "Buildings", "Architecture and Industrial Aesthetics" to the development of transport and urban infrastructure of the Baikal-Amur Region using system analysis. On the basis of archival data, settlements and railway stations were attributed, where the developments of the department's staff were used for the first time, and infrastructure facilities were built by the university's construction crews. For the first time, photographic materials of individual projects and production processes have been published. A retrospective look at the formation and development of BAM is presented. The time verification of the operational characteristics of the erected buildings, laid down as a result of scientific and design developments of the departments of "Buildings", "Architecture and industrial Aesthetics", is analyzed. The materials of personal origin collected by the author's team make it possible to expand the boundaries of research related to the study of historical memory of the late Soviet period and reconstruct a number of events when describing local identities of personalities in the context of architectural and construction activities of the staff of the PSUPSA. Keywords: Baikal-Amur mainline, transport infrastructure, buildings, railway stations, construction teams
M. Yu. Khazheeva, E. Yu. Dulskiy, P. Yu. Ivanov, V. A. Kruchеk. Research of existing methods for drying wetted insulation of traction motors [more] [back]
All attention is paid to the relevance of research on methods of drying the insulation of traction motors at the present time. All the methods that are aimed at solving the tasks are listed. The article describes the principle of operation and technology of the processes in each of these methods. From the proposed methods, efficiency indicators are derived from the standpoint of technical and economic results, and some of their advantages and disadvantages are also noted. The statistics of traction engine failures over the past three years are presented, and the reasons for the humidification of the insulation of the electric locomotive's power equipment are described. The main methods and methods of drying humidified insulation used in VSZHD locomotive depots are listed, and a characteristic of each method is given. The article lists the conducted research, experiments and results evaluating the existing methods and methods of insulation drying processes on rolling stock. An updated method of three-cycle drying of humidified insulation of electric machines has been developed, which is based on the use of electric heating installations and provides for oscillatory energy supply. The task is set to solve the optimal methods of removing moisture from the insulation of traction electric motors of electric locomotives based on the use of the convective method. Based on the conducted research, the possibility of using the proposed three-cycle method of drying humidified insulation of electric machines has been confirmed, which allows reducing the cost of electricity for repairs and the time of the insulation drying process. Keywords: resource-saving control, electric heating unit, drying process, repair quality, traction motors, cloud storage
A. V. Tatarenko, E. V. Kazakevich, A. A. Privalov, S. A. Lopatin. Issues related to the organization of the “Smart mercy train” [more] [back]
The article is devoted to the problem of digitalization of sanitary trains, which ensure the stage of medical evacuation of victims in emergency situations. In order to improve the quality of medical and diagnostic measures along the route and the use of existing digital medical services, it is necessary to create a "smart mercy train" (UPM) equipped with modern information and telecommunications facilities. The information and analytical space of the "smart mercy train" should be considered a mandatory medical segment of the data processing center of the medical service of law enforcement agencies, which is planned as a basic element of the Unified Military Medical Information System being created in the country. At the stage of the digital transformation of Russian Railways, ensuring the timeliness and efficiency of medical evacuation of victims is possible by creating a "smart mercy train" using existing solutions for objects of an intelligent transport system. The choice of equipment for an intelligent transport system is determined by the volume and type of information of a medical and administrative nature. The aim is to assess the projected information flows and functional needs of a "smart" means of medical evacuation by rail in emergency situations. The methods of expert survey, system analysis and the theory of operations research were used. As a result, an analysis of existing solutions for creating a "smart" means of medical evacuation by rail is presented. The internal and external information flows received by the head of the mercy train, which need special technical support (means of communication), are ranked. The place of the integrated personal electronic medical record at the stages of medical evacuation within the framework of the Unified Military Medical Information System has been determined. The results of the creation of a digital "smart mercy train" are determined. Keywords: medical evacuation by rail, information flows, smart object, intelligent system, artificial intelligence