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ANALYSIS OF THE DATA OF LABORATORY MEASUREMENTS IN TRAIN RADIO COMMUNICATION SYSTEMS

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Railway transport: current issues and innovations

Railway transport: current issues and innovations

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ARTICLE ANNOTATION

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Train radio communication networks organized in the hectometer wavelength range provide an intergroup channel and communication between train and locomotive dispatchers and energy dispatchers with locomotive drivers located at any point of the dispatch circle. Train radio communication (TRC) is used for fast traffic control and is an important safety element in railway transport. The efficiency of transport process management depends on the reliability of the TRC. This article considers the possibility of a generalized interpretation of the data of laboratory measurements of a car using a model that describes the dependence of the change in the power of the received signal on the distance close to its guide line. The results of calculating the three parameters of the model and the magnitude of the differences were analyzed. The presented results made it possible, using the proposed method, to interpret the measurements and determine the parameters of the reference line according to the data obtained by the laboratory. Using this method, it was found that at each stage it is possible to collect a data bank of parameters and analyze the results of measurements not only of the current, but also of previous data.

AUTHORS

J.Kurbanov

Tashkent State Transport University

N.Khusnidinova

Tashkent State Transport University

Tags

# электромагнитное поле# receiver# алоқа# электромагнит майдон# радиостанция# radio station# приемник# transmitter# electromagnetic field# передатчик# поезд радио# автоматика ва радиоалоқа учун мо# фаол радио мониторинги учун ўлчо# узатгич# қабулқилгич# train radio communication (TRC)# mobile measuring complex for au# measuring complex for active rad# поездная радиосвязь (ПРС)# мобильный измерительный комплек# измерительный комплекс активног

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Article Identifiers

ROI:

https://eroi.uz/11.0206/A1224-0005

DOI:

Not Available

References

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2. Intelligent railway transport radio communication based on neural networks. Igor Kolesnikov, Natalya Yaronova, Janibek Kurbanov and Nozima Khusnidinova. E3S Web of Conferences 264, 05044 (2021). CONMECHYDRO - 2021

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