Simulation Model of Electric Code-Modulated Signal in Russian Systems of Interval Control of Train Movement Based on Track Circuit

Q3 Mathematics
I. Prisukhina, D. Borisenko, S. Lunev
{"title":"Simulation Model of Electric Code-Modulated Signal in Russian Systems of Interval Control of Train Movement Based on Track Circuit","authors":"I. Prisukhina, D. Borisenko, S. Lunev","doi":"10.15622/sp.2019.18.5.1212-1238","DOIUrl":null,"url":null,"abstract":"Systems of interval control of train movement Signaling systems, which are currently in service in Russian railways, use the electric track circuit as the main data channel between signals and locomotives. Code-modulated electric signals transferred through that channel are frequently get corrupted which leads to railway traffic delays. \nDecoding of the electric signal received from a track circuit can be represented as an image classification problem, and thus the stability of the data channel could be significantly improved. \nHowever, to build such a classifier based on some machine learning algorithm, one needs a large dataset. In this article, a simulation model to synthesize this dataset is proposed. \nThe structure of the computer model matches the main stages of the electric code-modulated signal generation in a track circuit: code signal generator, rails, locomotive receiver. \nBased on code signal generator schematic and waveform diagrams, a generator algorithm is developed. At this stage, we modeled timings of electric code signals according to the specification as well as their random deviations caused by various factors. \nThe analysis of substitution circuits of the rail line revealed that it has the properties of a low-pass filter. So, the rail line using the Butterworth digital filter with corresponding parameters is modeled. Additionally, at this stage, random noise during transmission was taken into account. \nA similar technique is applied for modeling of a locomotive receiver which has a band-pass filter as the first signal processing block. \nThus, the proposed simulation model consists of a set of algorithms which run in series. By varying the parameters of the model, one can synthesize waveform diagrams of the electric code-modulated signal received by the locomotive equipment from a track circuit working in various modes and conditions.","PeriodicalId":53447,"journal":{"name":"SPIIRAS Proceedings","volume":"50 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPIIRAS Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15622/sp.2019.18.5.1212-1238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1

Abstract

Systems of interval control of train movement Signaling systems, which are currently in service in Russian railways, use the electric track circuit as the main data channel between signals and locomotives. Code-modulated electric signals transferred through that channel are frequently get corrupted which leads to railway traffic delays. Decoding of the electric signal received from a track circuit can be represented as an image classification problem, and thus the stability of the data channel could be significantly improved. However, to build such a classifier based on some machine learning algorithm, one needs a large dataset. In this article, a simulation model to synthesize this dataset is proposed. The structure of the computer model matches the main stages of the electric code-modulated signal generation in a track circuit: code signal generator, rails, locomotive receiver. Based on code signal generator schematic and waveform diagrams, a generator algorithm is developed. At this stage, we modeled timings of electric code signals according to the specification as well as their random deviations caused by various factors. The analysis of substitution circuits of the rail line revealed that it has the properties of a low-pass filter. So, the rail line using the Butterworth digital filter with corresponding parameters is modeled. Additionally, at this stage, random noise during transmission was taken into account. A similar technique is applied for modeling of a locomotive receiver which has a band-pass filter as the first signal processing block. Thus, the proposed simulation model consists of a set of algorithms which run in series. By varying the parameters of the model, one can synthesize waveform diagrams of the electric code-modulated signal received by the locomotive equipment from a track circuit working in various modes and conditions.
基于轨道电路的俄罗斯列车运行区间控制系统电码调制信号仿真模型
列车运行间隔控制系统信号系统是目前在俄罗斯铁路中使用的,它使用轨道电路作为信号与机车之间的主要数据通道。通过该信道传输的码调电信号经常被破坏,导致铁路交通延误。对轨道电路接收到的电信号进行解码可以表示为图像分类问题,从而可以显著提高数据通道的稳定性。然而,要基于某些机器学习算法构建这样的分类器,需要一个大的数据集。本文提出了一个综合该数据集的仿真模型。计算机模型的结构符合轨道电路中电码调制信号产生的主要阶段:码信号发生器、钢轨、机车接收机。根据编码信号发生器原理图和波形图,提出了一种编码信号发生器算法。在这一阶段,我们根据规范对电码信号的时序以及各种因素造成的随机偏差进行建模。通过对线路替代电路的分析,表明其具有低通滤波器的特性。因此,利用巴特沃斯数字滤波器对相应参数的轨道进行了建模。此外,在此阶段还考虑了传输过程中的随机噪声。将类似的技术应用于机车接收机的建模,该接收机以带通滤波器作为第一信号处理块。因此,所提出的仿真模型由一系列连续运行的算法组成。通过改变模型的参数,可以合成机车设备从轨道电路接收到的各种模式和条件下的电调码信号波形图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
SPIIRAS Proceedings
SPIIRAS Proceedings Mathematics-Applied Mathematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
14 weeks
期刊介绍: The SPIIRAS Proceedings journal publishes scientific, scientific-educational, scientific-popular papers relating to computer science, automation, applied mathematics, interdisciplinary research, as well as information technology, the theoretical foundations of computer science (such as mathematical and related to other scientific disciplines), information security and information protection, decision making and artificial intelligence, mathematical modeling, informatization.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信