• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (16): 176-184.doi: 10.3901/JME.2019.16.176

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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

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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