• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (16): 176-184.doi: 10.3901/JME.2019.16.176

• 运载工程 • 上一篇    下一篇

铁路工况识别软件的开发

陈道云1, 孙守光2, 李强2, 林凤涛1, 肖乾1   

  1. 1. 华东交通大学机电与车辆工程学院 南昌 330013;
    2. 北京交通大学机械与电子控制工程学院 北京 100044
  • 收稿日期:2019-03-20 修回日期:2019-06-04 出版日期:2019-08-20 发布日期:2019-08-20
  • 通讯作者: 肖乾(通信作者),男,1977年出生,博士,教授,博士研究生导师。主要研究方向为轨道车辆轮轨关系、轨道车辆运行品质分析与评价、轨道车辆运维装备研究与开发、CAD/CAM/CAE。E-mail:jxralph@ecjtu.edu.cn
  • 作者简介:陈道云,男,1988年出生,讲师。主要研究方向为结构疲劳可靠性。E-mail:chendaoyun@ecjtu.edu.cn
  • 基金资助:
    国家自然科学基金(51565013,51665014)和江西省重点研发计划科技(20181BBE50016)资助项目。

Development of the Railway Working Condition Recognition Software

CHEN Daoyun1, SUN Shouguang2, LI Qiang2, LIN Fengtao1, XIAO Qian1   

  1. 1. School of Mechatronics & Vehicle Engineering, Ease China Jiaotong University, Nanchang 330013;
    2. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044
  • Received:2019-03-20 Revised:2019-06-04 Online:2019-08-20 Published:2019-08-20

摘要: 为了实现典型工况载荷谱的编制,研究铁道工况识别软件的开发方法。分析原始数据的存储格式并将相关代码写入软件,实现由软件读取原始数据。研究各典型工况下信号波形的特征,提取出各典型工况的特征波形并由此建立各工况识别的核心算法。将VB.net与Javascript语言结合,编写软件核心代码。将谷歌卫星地图及OpenStreetMap模拟地图引入软件中,分析实测经纬度坐标和地图墨卡托坐标系之间的转换方法。进行实测数据典型工况识别,软件处理结果表明该软件能成功识别各工况数据,各工况线路识别结果与卫星图所示实际运行工况线路吻合,最后将所有识别的工况结果列表并分析了实测线路总体工况特征。

关键词: 工况, 软件, 识别, 特征, 信号, 载荷谱

Abstract: In order to develop the load spectrum under specific working conditions, the development method of railway working condition recognition software is studied. The storage format of original data is analyzed and the relevant code is compiled into the software so that the original data can be read by the software. The characteristic of the signal under different working conditions is studied and the characteristic waves of different working conditions are extracted. The working process of the algorithm is also analyzed. Google satellite map and OpenStreetMap are employed in the software. The conversion method between latitude & longitude coordinates and Mercator coordinates is analyzed. The actual railway test is operated and the software is confirmed to be successful. Finally, all of the recognized railway working conditions are listed in the table so that the whole working condition characteristic of the testing line is analyzed.

Key words: characteristic, load spectrum, recognition, signal, software, working condition

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