Subway distributed vibration signal similarity determination method

A vibration signal, determination method technology, applied in neural learning methods, pattern recognition in signals, character and pattern recognition, etc., can solve problems such as difficult distributed vibration monitoring, lack of

Active Publication Date: 2020-02-04
WUHAN UNIV OF TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a subway distributed vibration signal similarity method for the current situation that it is difficult to implement distributed vibr

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  • Subway distributed vibration signal similarity determination method
  • Subway distributed vibration signal similarity determination method
  • Subway distributed vibration signal similarity determination method

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[0036] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] Such as figure 1 As shown, a distributed subway vibration signal similarity determination method, figure 1 It is an overall flow chart of the present invention. The object of the similarity calculation is the vibration signal of the distributed structure of the subway tunnel acquired based on the array grating sensor. Specific steps are as follows:

[0038] 1) The raw data of the distributed structural vibration signal of the subway tunnel is collected through the array grating sensing cable, and the preliminarily processed data set is obtained through the optical fiber demodulator and computer processing, and the...

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Abstract

The invention discloses a subway distributed vibration signal similarity determination method, which comprises the following steps: 1) collecting vibration response of structural parts including a track bed and a tunnel wall along a subway tunnel through an optical fiber sensor, and obtaining an original monitoring vibration data set; 2) carrying out signal preprocessing on the original monitoringvibration data set, and extracting a distributed vibration signal data set excited by a subway coming vehicle; 3) normalizing the distributed vibration signal data set, and dividing the normalized distributed vibration signal data set into a training sample subset and a test sample subset; 4) constructing an SDAE network model; training an SDAE model by using the training sample and the test sample; 5) selecting two groups of vibration signals, respectively inputting the signals into the SDAE model, and then extracting the feature representation of the last middle layer of the SDAE model to form two groups of feature matrixes. According to the method, the local position features contained in the signals are extracted, the vibration signal similarity is expressed through the spatial distance between the feature matrixes, and the method is simple and reliable.

Description

technical field [0001] The invention relates to signal similarity calculation, in particular to a method for determining similarity of subway distributed vibration signals. Background technique [0002] In recent years, subway rail transit technology has developed rapidly in China. With the continuous increase in the mileage and passenger flow of urban subway lines, it is increasingly urgent to ensure the safety of subway operations, especially for the safety of subway tunnels. Compared with other traditional methods, the array grating has the characteristics of large capacity, distribution, long distance, high precision and long durability, and is especially suitable for time-space continuous monitoring of safety indicators in subway tunnels. Using the array grating sensor system to monitor the structure of subway tunnels is easy to obtain comprehensive and real-time structural state response information, which can provide rich and reliable long-term monitoring data for big...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G01H9/00
CPCG01H9/004G06N3/088G06N3/045G06F2218/04G06F2218/08G06F2218/12G06F18/22
Inventor 李盛左想刘芳甘维兵杨燕岳丽娜王洪海王立新
Owner WUHAN UNIV OF TECH
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