The invention discloses a vibration waveform-based ballastless track disease rapid identification method. The method comprises the following steps of S1, establishing a vibration waveform database of a ballastless track through long-term monitoring; the vibration waveform database comprises a health state vibration waveform and a disease state vibration waveform; s2, on the basis of a big data learning mode, predicting vibration waveforms of subsequent n + 1 days through the data of the previous n days, and comparing actually measured vibration waveforms of the vibration sensing optical cable of the n + 1 days with predicted vibration waveforms; and S3, performing similarity analysis on the actually measured vibration waveform in the step S2 and the vibration waveform database established in the early stage. The real-time effectiveness, accuracy and reliability of mass monitoring data analysis of ballastless track structure diseases can be remarkably improved, early warning and corresponding maintenance can be performed in time, and the labor intensity and the labor cost of railway engineering departments and the like are reduced.
本发明公开了一种基于振动波形的无砟轨道病害快速识别方法,包括如下步骤:S1通过长期监测建立无砟轨道的振动波形数据库;所述振动波形数据库包括健康状态振动波形和病害状态振动波形;S2基于大数据学习的方式,通过前n天的数据预测后续n+1天的振动波形,将n+1天振动传感光缆的实测振动波形与预测振动波形进行对比;S3将步骤S2中的实测振动波形与前期建立的振动波形数据库进行相似度分析。本发明可显著提高无砟轨道结构病害海量监测数据分析的实时有效性、准确性和可靠性,及时地预警以及相应地进行维护,减少铁路工务部门等的劳动强度和人工成本。
Ballastless track disease rapid identification method based on vibration waveform
一种基于振动波形的无砟轨道病害快速识别方法
2023-03-17
Patent
Elektronische Ressource
Chinesisch
Europäisches Patentamt | 2023
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