首页> 美国卫生研究院文献>Scientific Reports >Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics
【2h】

Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics

机译:基于振动信号特征的铁路沿线崩塌监测预警方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Rockfall disasters occur frequently in mountainous areas of western China, and the rockfall disasters along a railway line will seriously affect the safety and normal operation of railways, causing great economic and property losses. Existing rockfall monitoring and early warning methods still have shortcomings, such as accurate warning of single-point disasters and vulnerability to the natural environment. In this study, a rockfall test of a flexible safety protection net along the slope of a railway and a rockfall test of the railway track were carried out, and the vibration signals of the falling rock hitting the different sites of the protective net and hitting different positions of the rails were obtained. Using the signal analysis methods such as Fast Fourier Transformation and Short-Time Fourier Transform, the basic characteristics of the rockfall vibration signal and the vibration signal when the train passes and the propagation law of the rockfall vibration signal are obtained. Finally, a set of monitoring and early warning systems for rockfall disasters along the railway based on the analysis of vibration signal characteristics is established. The monitoring and early warning method has the advantages of all-weather, high-time, semi-automatic and high efficiency performance.
机译:西部山区经常发生崩塌灾害,铁路沿线的崩塌灾害将严重影响铁路的安全和正常运行,造成巨大的经济和财产损失。现有的落石监测和预警方法仍然存在缺陷,例如对单点灾难的精确警告和对自然环境的脆弱性。在这项研究中,进行了沿铁路边坡的柔性安全防护网的落石试验和铁路轨道的落石试验,落石的振动信号撞击防护网的不同位置并撞击不同的位置。获得了滑轨的位置。利用快速傅立叶变换和短时傅立叶变换等信号分析方法,获得了落石振动信号和列车通过时振动信号的基本特性,以及落石振动信号的传播规律。最后,基于振动信号特征分析,建立了一套铁路沿线崩塌灾害监测预警系统。本发明具有全天候,高时间,半自动,高效能的优点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号