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Falling stone along the railway and running signal classification and grading determination and identification method

A technology for judging, identifying and falling rocks, applied in measuring devices, instruments, measuring ultrasonic/sonic/infrasonic waves, etc., can solve the problems of limited and limited use of vibration information extraction

Active Publication Date: 2017-08-18
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its defect is that the multiple threshold discrimination index is only the only index of the electrical signal amplitude of the wavelength change of the light reflected by the fiber grating, so the extraction of vibration information in the vibration signal is limited. The benefits are also limited

Method used

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  • Falling stone along the railway and running signal classification and grading determination and identification method
  • Falling stone along the railway and running signal classification and grading determination and identification method
  • Falling stone along the railway and running signal classification and grading determination and identification method

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Effect test

Embodiment 1

[0072] Such as Figure 1 to Figure 9 As shown, the occurrence of rockfall is monitored at a rockfall-prone place along a certain railway with the method of the present invention.

[0073] Arrange vibration acceleration sensors at a potential rockfall location along the railway. The sensor is installed on the inner side of the rail or on the sleeper rail ( figure 1 , the five stars in the figure indicate the position of the sensor). The sensor collects and transmits the original signal to the operation center in real time, and the operation center obtains the original time-amplitude signal according to the figure 2 The technical solution shown in the process is implemented.

[0074] The following implementation manners demonstrate the data processing of a sensor as an example. The sensor has detected 3 rockfall events, numbered as rockfall 1#, 2#, 3# events ( image 3 ). Figure 4 It is the original signal, FFT spectrum and STFT spectrum diagram of the falling rock 1# ev...

Embodiment 2

[0105] Such as Figure 10 Shown, with the inventive method in a certain rockfall prone place along a certain railway, monitor the train traffic situation. The contents of step S1 to step S31 that are the same as those in the first embodiment in this embodiment will not be repeated. Data processing is recorded from step S32.

[0106] Step S32, signal identification

[0107] Calculate the frequency-energy signal from the frequency-amplitude signal obtained in step S31, and set the energy ratio threshold R E = 80%.

[0108] It is calculated that at time 4.2s, the energy of the vibration frequency range 0Hz to 500Hz = 2150, the energy value of all signals = 3000, and the energy ratio = 71.7% E , it is identified as a level II driving vibration signal, and the time scale value T is recorded 22 =4.2s, exit step S32 and enter step S4.

[0109] Step S4, Level III identification of vibration signal

[0110] Step S41, STFT transformation

[0111] Perform STFT transformation on th...

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Abstract

The invention provides a falling stone along the railway and running signal classification and grading determination and identification method, aiming at the detect that the prior art is limited in extraction and utilization of information in a vibration signal along the railway and the multiple-threshold technological means is limited in improving the accuracy effect of determination and identification. The falling stone along the railway and running signal classification and grading determination and identification method includes the steps: de-noising an original signal through an operation center, implementing signal I grade determination and identification for an amplitude index, implementing signal II-grade determination and identification based on FFT transformation, implementing signal III-grade determination and identification based on STFT transformation, and finally determining whether stone falling and train running occur at the same time. The invention also discloses a falling stone energy scale calculating method and a running passing state monitoring method. The falling stone along the railway and running signal classification and grading determination and identification method integrates amplitude analysis, energy analysis and frequency analysis as one body, and can improve accuracy of determination and identification by utilizing different signal analysis indexes and analysis methods on different determination and identification grade layers. The falling stone along the railway and running signal classification and grading determination and identification method has the advantages of being reliable in principle, being scientific and simple in the calculating process, being simple in the implementation instrument, being convenient for mounting, being high in accuracy of the measurement result, and being specially suitable for the requirement of the engineering field.

Description

technical field [0001] The invention relates to a method for classifying and classifying judgment and recognition of vibration signals, in particular to a method for classifying and classifying judgment of falling rocks along railway lines and train passing signals, and belongs to the technical field of vibration signal monitoring and measurement and the field of traffic signal control. Background technique [0002] Vibration signals refer to signals generated by non-stationary objects. Since the non-stationary state is the absolute state of the object, the vibration characteristics and the generated vibration signals become the inherent characteristics of the object. In the excited state, if the excitation of the vibration source is the same as or close to the intrinsic characteristic parameters of the object, a resonance response caused by the superposition of the characteristic information of each frequency will be generated. The time-domain characteristics of the vibrat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G01H17/00
CPCG01D21/02G01H17/00
Inventor 苏志满严炎
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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