Automated Train Coordinate Determination System with Self-Tuning of the Decision Function

IF 0.1 Q4 ENGINEERING, MULTIDISCIPLINARY Engineering Technologies and Systems Pub Date : 2022-09-30 DOI:10.15507/2658-4123.032.202203.437-459
E. Tarasov, A. Tarasova
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Abstract

Introduction. The problem of determining the train coordinates on the approach section to the crossing is associated with the impact of destabilizing factors on the information primary detector ? the rail line with distributed parameters. This leads to an error in calculating train coordinates. The aim of the study is to develop and scientifically substantiate the principle of building a system for calculating train coordinates with self-tuning of the decision function under the influence of significant destabilizing factors on the information primary sensor. Materials and Methods. To solve the problem of reliable determination of train coordinates, we propose a two-phase principle for forming the decision function. At the first stage, by means of a training sample of images and using the learning principle, the decision function (model) of the system for calculating train coordinates is determined. When the train enters a fixed-length approach section, the mismatch is determined by comparing the calculated coordinate with the fixed one. The second stage is the self-tuning of the coefficients of the decision function until the required accuracy is achieved. Results. The article shows the stages of forming the decision function by two-dimensional images; there was developed and tested an algorithm for self-turning of the decision function under the influence of various destabilizing factors. Through using 6 attributes of components of current and voltage vectors at the rail line input, 6 solving functions were obtained. Various combinations of two-dimensional images were used as polynomial arguments. Discussion and Conclusion. The study results confirm the feasibility of forming decision function and its self-tuning. The maximum error in calculating coordinates for various combinations ranges from 9.97% (199.34 m) to 4.57% (91.49 m). The error of determination of 5% for two decisive functions satisfies the safety requirements, since in a 45-second time interval to activate an automatic crossing signal, a distance of 100 m is covered in 3 seconds, i.e. the elapsed time is only 3 seconds in a 45 second interval.
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具有决策函数自整定的列车坐标自动确定系统
介绍。确定道口进近段列车坐标的问题与不稳定因素对信息初级探测器的影响有关。具有分布参数的轨道线路。这导致在计算列车坐标时出现错误。研究的目的是发展和科学地证实在信息主传感器显著不稳定因素影响下,决策函数自整定的列车坐标计算系统的建立原理。材料与方法。为了解决列车坐标的可靠确定问题,提出了决策函数的两阶段构造原则。第一阶段,通过图像训练样本,利用学习原理,确定列车坐标计算系统的决策函数(模型)。当列车进入定长进站段时,通过计算出的坐标与固定的坐标进行比较,确定不匹配。第二阶段是自调整决策函数的系数,直到达到所需的精度。本文给出了利用二维图像形成决策函数的步骤;开发并测试了一种在多种不稳定因素影响下决策函数自旋的算法。利用轨线输入电流和电压矢量分量的6个属性,得到6个求解函数。二维图像的各种组合被用作多项式参数。讨论与结论。研究结果证实了形成决策函数及其自整定的可行性。各种组合计算坐标的最大误差范围为9.97% (199.34 m)至4.57% (91.49 m)。两个决定性功能的确定误差为5%,满足安全要求,因为在45秒的时间间隔内激活自动交叉信号,100米的距离在3秒内完成,即在45秒的时间间隔内经过的时间仅为3秒。
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来源期刊
Engineering Technologies and Systems
Engineering Technologies and Systems ENGINEERING, MULTIDISCIPLINARY-
自引率
33.30%
发文量
29
审稿时长
12 weeks
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