E3S Web Conf.
Volume 264, 2021International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
|Number of page(s)||8|
|Section||Engineering Materials Science, Intelligent Transport Systems and Transport Logistics|
|Published online||02 June 2021|
A block model development for intelligent control of the switches operating apparatus position in the electrical interlocking system
Tashkent State Transport University, Tashkent, Uzbekistan
* Corresponding author: firstname.lastname@example.org
In this scientific article, we developed a model of block C that controls the position of the switches. A mathematical model of the block was calculated using a two-layer neural network along with the blocks of the block. An imitation model of the switch control block using the SoDeSys program is presented.
In the modeling process, it was studied that a multilayer neural network consists of one or more hidden layers of neurons-the entrance, exit, and the neurons located between them. And block C was determined that it was possible to model with the help of a 2-layer neural network and was expressed in the form of the following layers:
1-in the hidden layer: in the C block, the PK and MK relays are listed. This process indicated that the data coming from the PS or PST block would receive the PK and MK releases. At this layer, it is determined in which position the switches are located, and the data is transferred to the next layers.
2-in the hidden layer: the VZ relay in the C Block is indicated. Information coming from PK and MK relays shows the VZ relays acceptance process. In this layer, it is determined whether the switch is cut or not, and information is transferred to the next layers. In this layer, a certain position of the pushed conductor is determined
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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