Track defect monitoring method and monitoring equipment based on axlebox acceleration signal
A technology for accelerating signals and monitoring equipment, applied in the field of rail transit, to achieve the effects of simple operation, reduced data volume, and low labor cost
Active Publication Date: 2021-01-12
成都西交智众科技有限公司
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Problems solved by technology
Due to the irregularity of defects, it is very easy for people to judge subjectively, but how to find a stylized mathematical judgment rule for automatic monitoring is a big challenge
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[0031] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.
[0032] Regardless of the size of the track defect, it will cause the wheel 1 to vibrate for a short time after rolling over it. In other words, although the wheel 1 has rolled over the track defect, the wheel 1 will continue to vibrate due to the time required for energy decay. In this way, by monitoring the vibration acceleration to indirectly monitor the track defect, its influence range in the time domain will be enlarged, and the sampling frequency requirement will be reduced compared with the direct monitoring of the defect geometry itself in space, so the monitoring efficiency will be improved. Therefore, the present invention detects track faults and defects by measuring the vertical vibration acceleration of the vehicle axle box, reducing...
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The invention discloses a rail defect monitoring method and monitoring device based on axle box acceleration signals and is applied to the field of rail traffic. In order to solve the problem that themonitoring efficiency is low during existing rail health condition monitoring, rail faults and defects are detected by measuring the vehicle axle box vertical vibration acceleration, and a rail is positioned through GPS signals and vehicle speed integrals to realize accurate positioning on defects of a multi-tunnel road section in a mountainous area. Characteristics of distribution of the axle box vibration acceleration in a frequency domain due to different rail defects are solved through wavelet transform. The precision and a time domain and the precision of the frequency domain can be bothconsidered. A high-resolution time-frequency graph can be obtained. Meanwhile, a convolutional neural network model can conduct quick and accurate identification and classification on the time-frequency graph. When a neural network is trained well, the rail defect monitoring method and monitoring device provided by the invention can automatically identify the types of rail defects on the line andthe GPS position just by inputting the axle box vertical acceleration signals and the GPS signals synchronized with the axle box vertical acceleration signals in the whole vehicle running process.
Description
technical field [0001] The invention belongs to the field of rail transit, and in particular relates to a rail health state monitoring technology and equipment. Background technique [0002] People's production and lifestyle will eventually develop from extensive mode to intensification, from pollution to environmental protection. In the field of transportation, electrified rail transit has developed rapidly in recent years due to its advantages of high energy efficiency and zero emission. The main reason for the high energy utilization rate of rail transit is the small rolling friction force brought about by the large contact stiffness of steel wheels and rails, thereby reducing the energy lost due to overcoming friction. However, high contact stiffness brings low friction and greatly deteriorates the stress environment between wheels and rails. Therefore, in practical applications, cases of structural defects of rails occur from time to time, such as rail corrugation, ra...
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IPC IPC(8): B61K9/08
CPCB61K9/08
Inventor 汪群生朱彬曾京邬平波戴焕云
Owner 成都西交智众科技有限公司