Railway Traffic Monitoring System by Seismic Methods

Abstract

This article describes a system for monitoring the movement of railway transport based on seismic methods. The current state and existing problems in the railway monitoring industry are briefly presented. It is proposed to use seismic signals in soils formed by passing trains in order to highlight information features and assess the characteristics of railway transport. These signals carry a large amount of useful information and can be used with proper processing and analysis. The characteristics of these signals are considered depending on the characteristics of rolling stock, such as speed and weight, and on a number of other external factors: the composition and condition of soils, the presence of rail joints and irregularities. An algorithm for processing seismic signals in order to distinguish the characteristics of railway transport is described. In the final section, a diagram and a block of data collection are presented, as well as a brief description and features of the application of the developed monitoring system. This system will allow to accelerate the implementation of large-scale monitoring of the movement of railway transport, as well as to increase its efficiency and functionality, due to simpler and more inexpensive solutions.

Mathematical Description and Laboratory Study of Electrophysical Methods of Localization of Geodeformational Changes during the Control of the Railway Roadbed

“…In our case, the source of elastic vibrations can be railway trains passing through the studied area (Figure 2). These effects have high energy, and the characteristics of this effect are a priori known [3,4,7,12,20,29]. Geodynamic variations of these fields are a consequence of the action of both natural factors and man-made impacts on the environment, and this makes it possible to distinguish them based on the processing of geodynamic data.…”

“…The joint use of geoelectric and seismic methods, that is, the use of the seismoelectric control method [23][24][25][26][27][28][29], allows increasing the efficiency of geological media studies by reducing the ambiguity of the assessment of geophysical data.…”