CN111060603A - Sleeper beam damage monitoring method, system and device - Google Patents
Sleeper beam damage monitoring method, system and device Download PDFInfo
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- CN111060603A CN111060603A CN201911317444.7A CN201911317444A CN111060603A CN 111060603 A CN111060603 A CN 111060603A CN 201911317444 A CN201911317444 A CN 201911317444A CN 111060603 A CN111060603 A CN 111060603A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/12—Analysing solids by measuring frequency or resonance of acoustic waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/223—Supports, positioning or alignment in fixed situation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/24—Probes
- G01N29/2437—Piezoelectric probes
- G01N29/245—Ceramic probes, e.g. lead zirconate titanate [PZT] probes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
- G01N29/4427—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison with stored values, e.g. threshold values
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/262—Linear objects
Abstract
The invention relates to the technical field of rail transit, and particularly discloses a method, a system and a device for monitoring damage of a sleeper beam, which comprise the steps of acquiring a monitoring signal; after the monitoring signal is processed for the first time, comparing the monitoring signal with a first threshold value, and judging whether the sleeper beam is damaged; if the sleeper beam is damaged, comparing the monitoring signal after secondary processing with a second threshold value, if the monitoring signal is larger than the second threshold value, acquiring a data interval when the sleeper beam is damaged, and judging the damage degree of the sleeper beam according to the data interval; and if the sleeper beam is damaged, acquiring the frequency corresponding to each part when the sleeper beam is damaged, comparing the frequency corresponding to each part when the sleeper beam is damaged with the frequency corresponding to each part of a normal sleeper beam, and judging the position of the damaged sleeper beam. The invention can monitor whether the sleeper beam is damaged or not, and can also judge the damage degree and the damage position of the sleeper beam, thereby improving the precision of the damage monitoring of the sleeper beam and facilitating the maintenance of technicians.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to a sleeper beam detection method, system and device.
Background
With the improvement of the running speed and the bearing capacity of the subway, higher requirements are put forward on the running safety and reliability of the subway vehicles. The car body sleeper beam is an important part for connecting a car body underframe and a bogie, bears larger acting force and the weight of the whole car, transmits the weight to a running part through an upper center plate and a lower center plate, and simultaneously bears the action of alternating loads such as vertical load, longitudinal load, torsion load and the like, the stress condition is complex, the car body sleeper beam mainly bears the load of running cars and the traction force of the cars, the fatigue damage becomes the main failure form of the sleeper beam due to the complex stress condition and the working environment, the main expression form is fatigue crack, the bearing capacity of the sleeper beam is weakened due to the generation of the fatigue crack, and car accidents are easily caused.
At present, each vehicle section mainly carries out daily maintenance and regular maintenance on key components of a subway to ensure the driving safety of a train, nondestructive detection technologies such as electromagnetic flaw detection, ultrasonic flaw detection and the like are mainly adopted, the technologies can detect the defects on the surface or inside of a structure so as to ensure the health state of the structure, but the detection results are the detection results after the sleeper beam has obvious faults, only the single monitoring is carried out to detect whether the sleeper beam has faults or not, the early damage inside the structure cannot be detected, and the position of the damage, the severity of the damage and the like cannot be accurately judged.
Disclosure of Invention
The invention provides a method for monitoring damage of a sleeper beam, aiming at solving the problem that the position and the damage severity of the sleeper beam cannot be accurately judged in the prior art.
The technical scheme adopted by the invention is as follows:
a method of monitoring bolster damage, comprising:
acquiring a monitoring signal;
after the monitoring signal is processed for the first time, comparing the monitoring signal with a first threshold value, and judging whether the sleeper beam is damaged;
if the sleeper beam is damaged, comparing the monitoring signal after secondary processing with a second threshold value, if the monitoring signal is larger than the second threshold value, acquiring a data interval when the sleeper beam is damaged, and judging the damage degree of the sleeper beam according to the data interval;
and if the sleeper beam is damaged, acquiring the frequency corresponding to each part when the sleeper beam is damaged, comparing the frequency corresponding to each part when the sleeper beam is damaged with the frequency corresponding to each part of a normal sleeper beam, and judging the position of the damaged sleeper beam.
Further, the method for judging whether the sleeper beam is damaged comprises the following steps:
processing the monitoring signal by using a time domain characteristic parameter function, and outputting an analysis result of a time domain characteristic parameter of the monitoring signal, wherein the time domain characteristic parameter comprises a root mean square, a positive peak value, a negative peak value and a peak-to-peak value;
comparing the selected time domain characteristic parameter with the first threshold value;
and if the selected time domain characteristic parameters exceed the first threshold value, judging the damage of the sleeper beam.
Further, the method for judging the damage degree of the sleeper beam comprises the following steps:
outputting the sound characteristics of the monitored signals by using an empirical mode analysis method, then performing waveform refinement analysis on the monitored signals, and outputting time spectrogram waveforms;
comparing the variation trend of the time-spectrum waveform with the second threshold;
if the time spectrogram waveform exceeds the second threshold, judging the occipital beam as damaged, then determining the occurrence time of the occipital beam damage through time domain display of EMD, and determining the frequency range of a monitoring signal when the occipital beam is damaged by combining the spectrogram waveform and the second threshold;
and comparing the frequency range of the monitoring signal with the frequency range of the monitoring signal of the normal sleeper beam, and determining the damage degree of the sleeper beam.
Further, the method for judging the position of the damaged sleeper beam comprises the following steps:
instantaneous frequency, instantaneous phase and instantaneous amplitude at any moment are defined through Hilbert transformation, instantaneous parameters of short signals and complex signals are found, and analytic signals of monitoring signals are output;
decomposing and reconstructing the monitoring signal through a wavelet packet, and outputting corresponding frequency when each part of the sleeper beam is damaged by combining time-frequency display of the wavelet packet and an envelope frequency spectrum formed by the analytic signal module;
and comparing the corresponding frequency during damage with the corresponding frequency of the normal corbel to determine the damage position of the corbel.
Further, the method for monitoring the damage of the corbel further comprises the following steps:
processing the monitoring signal by using fast Fourier transform, converting a time domain signal into a frequency domain signal, and outputting a spectrogram waveform;
the integral trend of the sleeper beam monitoring signal waveform is output through a power spectrum analysis method, an integral spectrogram waveform is generated, and important characteristic information of the monitoring signal can be effectively prevented from being leaked;
comparing the overall spectrogram waveform to a fourth threshold;
and when the waveform of the whole spectrogram exceeds a fourth threshold value, further determining that the sleeper beam is damaged.
The invention provides a system for monitoring damage of a sleeper beam, aiming at solving the problem that the position and the damage severity of the sleeper beam cannot be accurately judged in the prior art.
A system for monitoring bolster damage, comprising:
the signal acquisition module is used for acquiring a monitoring signal;
the damage judging module is used for judging whether the sleeper beam is damaged or not;
the damage degree judging module is used for judging the damage degree of the sleeper beam;
and the damage position judging module is used for judging the damage position of the sleeper beam.
Further, the damage determination module includes:
the time domain characteristic parameter analysis unit is used for processing the monitoring signal and outputting a time domain characteristic parameter of the monitoring signal;
the time domain characteristic parameter comparison unit is used for comparing the time domain characteristic parameter with a first threshold value;
the damage judging unit is used for judging whether the sleeper beam is damaged or not according to the result of the time domain characteristic parameter comparing unit;
further, the damage degree determination module includes:
the empirical mode analysis unit is used for performing waveform refinement on the monitoring signal and outputting a time spectrogram waveform;
a time spectrogram waveform comparing unit for comparing the variation trend of the time spectrogram waveform with the second threshold;
a damage degree judging unit for judging the damage degree of the sleeper beam according to the comparison result of the time spectrogram waveform comparing unit;
further, the damage position judging module includes:
the Hilbert conversion module unit is used for outputting an analytic signal of the monitoring signal;
the wavelet packet decomposition unit is used for outputting corresponding frequency when each part of the sleeper beam is damaged;
and the damage position judging unit is used for comparing the corresponding frequency during damage with the corresponding frequency of the normal corbel to determine the damage position of the corbel.
The invention provides a sleeper beam damage monitoring device, aiming at solving the problem that the position and the damage severity of a sleeper beam cannot be accurately judged in the prior art.
A bolster damage monitoring device comprising:
the acoustic emission sensor is arranged on the sleeper beam;
the acoustic emission acquisition card is connected with the acoustic emission sensor and receives the monitoring signal transmitted by the acoustic emission sensor;
and the upper computer analyzes the monitoring signals and judges whether the monitoring signals are damaged or not, the damage degree and the damage position.
Further, the device for monitoring the damage of the corbel further comprises:
the pre-amplification circuit is connected with the acoustic emission sensor, amplifies a monitoring signal of the acoustic emission sensor and outputs the signal to the acoustic emission acquisition card;
and the signal conditioning circuit is connected with the acoustic emission acquisition card, de-noizes the monitoring signal and transmits the monitoring signal to the upper computer.
Further, the corbel damage monitoring device further comprises a sensor mounting seat, the sensor mounting seat is fixed to the corbel through screws, the acoustic emission sensor is arranged in the sensor mounting seat, the sensor mounting seat is provided with an opening, one end of the acoustic emission sensor is connected with the corbel through the opening, the other end of the acoustic emission sensor is connected with an elastic element, and the elastic element is fixed to the bottom of the sensor mounting seat.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the monitoring signals are respectively processed for multiple times, and the processed signals are compared with the threshold value of the normal sleeper beam, so that whether the sleeper beam is in fault, the fault degree and the fault position are judged, the problem that the damage position and the damage degree cannot be accurately judged by adopting the prior art is solved, and the accuracy of sleeper beam fault monitoring is improved.
Drawings
Fig. 1 is a flowchart of a method for monitoring damage to a bolster provided in an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining whether a bolster is damaged according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a degree of damage to a bolster according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for determining a damaged position of a bolster according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for further confirming whether a bolster is damaged according to an embodiment of the present invention;
fig. 6 is a schematic block diagram of a corbel damage monitoring apparatus according to an embodiment of the present invention;
FIG. 7 is a schematic view of a sensor mount provided by an embodiment of the present invention;
FIG. 8 is a circuit diagram of a fourth-order high-pass filter circuit according to an embodiment of the present invention;
fig. 9 is a circuit diagram of a fourth-order low-pass filter circuit according to an embodiment of the present invention.
In the figure, 1 is a bolster, 2 is a sensor mounting base, 21 is a screw, 22 is a spring, and 3 is an acoustic emission sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 shows a flowchart of a method for monitoring damage to a bolster 1 according to an embodiment of the present invention, where a sound emission sensor 3 is used to monitor a sound wave signal of the bolster 1, the sound wave signal is amplified by a preamplifier and then output to a sound emission acquisition card, and then the sound emission acquisition card is transmitted to an upper computer to analyze the monitored signal, specifically, the technical solution provided in this embodiment is designed based on LabVI EW, and the method for monitoring damage to the bolster 1 includes:
acquiring a monitoring signal;
after the monitoring signal is processed for the first time, comparing the monitoring signal with a first threshold value, and judging whether the sleeper beam 1 is damaged;
if the sleeper beam 1 is damaged, comparing the monitoring signal after secondary processing with a second threshold value, if the monitoring signal is larger than the second threshold value, acquiring a data interval when the sleeper beam 1 is damaged, and judging the damage degree of the sleeper beam 1 according to the data interval;
if the body bolster 1 is damaged, the frequencies corresponding to the respective portions when the body bolster 1 is damaged are acquired, and the frequencies corresponding to the respective portions when the body bolster 1 is damaged are compared with the frequencies corresponding to the respective portions of the normal body bolster 1 to determine the position where the body bolster 1 is damaged.
Further, as shown in fig. 2, the method for determining whether the bolster 1 is damaged in the present embodiment includes:
processing the monitoring signal by using a time domain characteristic parameter function, and outputting an analysis result of a time domain characteristic parameter of the monitoring signal, wherein the time domain characteristic parameter comprises a root mean square, a positive peak value, a negative peak value and a peak-to-peak value;
comparing the time domain characteristic parameter with a first threshold value;
and if the selected time domain characteristic parameters exceed the first threshold value, judging that the sleeper beam 1 is damaged, and judging that the sleeper beam 1 is damaged.
Further, as shown in fig. 3, the method for determining the damage degree of the bolster 1 in the present embodiment includes:
waveform refinement is carried out on the monitoring signal by using an empirical mode analysis method, and a time spectrogram waveform is output;
specifically, an empirical mode analysis (EMD) is used for designing an EMD noise reduction program, further noise reduction is carried out on the monitoring signal, interference of external sound is filtered, the sound characteristic of the monitoring signal is obtained, better waveform refinement analysis is carried out on the monitoring signal, and a time spectrogram waveform is output;
comparing the variation trend of the time spectrogram waveform with a second threshold value;
if the time spectrogram waveform exceeds a second threshold value, judging the damage, then determining the damage occurrence time of the sleeper beam 1 through the time domain display of the EMD, and determining the frequency range of the monitoring signal when the sleeper beam 1 is damaged by combining the spectrogram waveform and the second threshold value;
and comparing the frequency range of the monitoring signal with the data of the normal sleeper beam 1 to determine the damage degree of the sleeper beam 1.
Further, as shown in fig. 4, the method of determining the position of the bolster 1 where damage occurs includes:
instantaneous frequency, instantaneous phase and instantaneous amplitude at any moment are defined through Hilbert transformation, instantaneous parameters of short signals and complex signals are found, and analytic signals of monitoring signals are output;
specifically, a monitoring signal is subjected to 90-degree phase shift through Hilbert (Hilbert) transformation, instantaneous frequency, instantaneous phase and instantaneous amplitude at any moment are defined, instantaneous parameters of a short signal and a complex signal are found, an analytic signal of the monitoring signal is output, a real part of the analytic signal is a body of the monitoring signal, an imaginary part of the analytic signal is obtained through Hilbert transformation, and a modulus of the analytic signal is used as an envelope of the monitoring signal;
decomposing and reconstructing the monitoring signals through the wavelet packet, and outputting corresponding frequencies when each part of the sleeper beam 1 is damaged by combining time-frequency display of the wavelet packet and analysis of an envelope frequency spectrum formed by signal modes;
and comparing the corresponding frequency during damage with the corresponding frequency of the normal sleeper beam 1 to determine the damage position of the sleeper beam 1.
Preferably, as shown in fig. 5, in order to further verify that the determination of the damage to the bolster 1 is correct, the present embodiment further provides another method for determining whether the bolster 1 is damaged, so as to more accurately determine whether the bolster 1 is damaged, and specifically, the another method for determining whether the bolster 1 is damaged includes:
processing the monitoring signal by utilizing Fourier transform, and outputting a spectrogram waveform;
outputting the integral trend of the signal waveform of the sleeper beam 1 by a power spectrum analysis method to generate an integral spectrogram waveform;
comparing the overall spectrogram waveform to a fourth threshold;
and when the waveform of the frequency spectrum exceeds a fourth threshold value, further determining that the bolster 1 is damaged.
The embodiment provides a system for monitoring damage to a corbel 1, which is used for the method for monitoring damage to the corbel 1, and includes:
the signal acquisition module is used for acquiring a monitoring signal;
the damage judging module is used for judging whether the sleeper beam 1 is damaged or not;
the damage degree judging module is used for judging the damage degree of the sleeper beam 1;
and the damage position judging module is used for judging the damage position of the sleeper beam 1.
Further, the damage determination module includes:
the time domain characteristic parameter analysis unit is used for processing the monitoring signal and outputting a time domain characteristic parameter of the monitoring signal;
the time domain characteristic parameter comparison unit is used for comparing the time domain characteristic parameter with a first threshold value;
the damage judging unit is used for judging whether the sleeper beam 1 is damaged or not according to the result of the time domain characteristic parameter comparing unit;
further, the damage degree judging module includes:
the empirical mode analysis unit is used for monitoring signals to refine waveforms and outputting time spectrogram waveforms;
the time spectrogram waveform comparing unit is used for comparing the variation trend of the time spectrogram waveform with a second threshold;
a damage degree judging unit for judging the damage degree of the sleeper beam 1 according to the comparison result of the time spectrogram waveform comparing unit;
further, the damage position judging module includes:
the Hilbert conversion module unit is used for outputting an analytic signal of the monitoring signal;
the wavelet packet decomposition unit is used for outputting corresponding frequency when each part of the sleeper beam 1 is damaged;
and the damage position judging unit is used for comparing the corresponding frequency during damage with the corresponding frequency of the normal sleeper beam 1 and determining the damage position of the sleeper beam 1.
Further, the system for monitoring damage to the corbel 1 provided in this embodiment further includes a module for confirming damage to the corbel 1, where the module for confirming damage to the corbel 1 includes:
the Fourier transform unit is used for processing the monitoring signal and outputting a spectrogram waveform;
and the power spectrum analysis unit is used for outputting the overall trend of the sleeper beam 1 monitoring signal waveform, generating an overall frequency spectrum waveform, comparing the overall frequency spectrum waveform with a fourth threshold value, and further confirming that the sleeper beam 1 has a fault when the waveform of the frequency spectrum graph also exceeds the fourth threshold value.
The embodiment further provides a device for monitoring damage to a corbel 1, which is used for the method for monitoring damage to the corbel 1, and includes:
the acoustic emission sensor 3, the acoustic emission sensor 3 is installed on corbel 1;
the acoustic emission acquisition card is connected with the acoustic emission sensor 3 and receives a monitoring signal transmitted by the acoustic emission sensor 3;
and the upper computer analyzes the monitoring signals and judges whether the monitoring signals are damaged or not, the damage degree and the damage position.
Further, the device for monitoring damage to the body bolster 1 provided by this embodiment further includes:
the pre-amplification circuit is connected with the acoustic emission sensor 3, amplifies a monitoring signal of the acoustic emission sensor 3 and outputs the signal to the acoustic emission acquisition card;
and the signal conditioning circuit is connected with the acoustic emission acquisition card, denoises the monitoring signal and transmits the denoised monitoring signal to the upper computer.
Specifically, the preamplifier provided in this embodiment is installed at the rear end of the acoustic emission sensor 3, and is used to improve the signal-to-noise ratio of the voltage signal monitored by the sensor 3 during transmission, and amplify the signal, and the preamplifier has three selectable stages, namely 20db, 40db, and 60 db.
Further, as shown in fig. 7, the device for monitoring damage to the body bolster 1 provided by this embodiment further includes a sensor 3 mounting seat 2, the sensor 3 mounting seat 2 is fixed on the body bolster 1 through a screw 21, the acoustic emission sensor 3 is disposed in the sensor 3 mounting seat 2, the sensor 3 mounting seat 2 is provided with an opening, one end of the acoustic emission sensor 3 is connected with the body bolster 1 through the opening, the other end of the acoustic emission sensor 3 is connected with an elastic element, the elastic element is fixed at the bottom of the sensor 3 mounting seat 2, so as to ensure the stability of the contact surface between the acoustic emission sensor 3 and the body bolster 1 and reliably receive monitoring signals, and ensure that the acoustic emission sensor 3 keeps relatively static in the monitoring process.
Specifically, the spring 22 is used as the elastic element in the present embodiment, but other materials may be used, which is not limited to this.
Further, the acoustic emission sensor 3 provided by the present embodiment uses a high-sensitivity piezoceramic sensor 3, the model is R15A, the frequency range of the sensor is 50KHz to 400KHz, and the resonant frequency of the sensor is 150 KHz.
Further, the signal conditioning circuit provided in this embodiment includes a fourth-order high-pass filter circuit and a fourth-order low-pass filter circuit.
Specifically, fig. 8 shows a circuit diagram of a fourth-order high-pass filter circuit provided in this embodiment, which is used to set a minimum acoustic signal threshold value below which the monitoring signal will be blocked and attenuated, and above which the monitoring signal will enter the system for monitoring the damage of the occipital beam 1 through the signal conditioning circuit.
Specifically, fig. 9 shows a fourth-order low-pass filter circuit provided in this embodiment, which is used to set a highest sound wave signal threshold value, the sound wave signal above the threshold value will be blocked and attenuated, and the signal below the threshold value will enter the occipital beam 1 damage monitoring system through the conditioning circuit.
In summary, the method, the system and the device for monitoring damage to the sleeper beam 1 provided in this embodiment can monitor whether the sleeper beam 1 is damaged or not, and can also judge the damage degree and the damage position of the sleeper beam 1, so that the precision of monitoring damage to the sleeper beam 1 is improved, and the maintenance by a technician is facilitated.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method of monitoring bolster damage, comprising:
acquiring a monitoring signal;
after the monitoring signal is processed for the first time, comparing the monitoring signal with a first threshold value, and judging whether the sleeper beam is damaged;
if the sleeper beam is damaged, comparing the monitoring signal after secondary processing with a second threshold value, if the monitoring signal is larger than the second threshold value, acquiring a data interval when the sleeper beam is damaged, and judging the damage degree of the sleeper beam according to the data interval;
and if the sleeper beam is damaged, acquiring the frequency corresponding to each part when the sleeper beam is damaged, comparing the frequency corresponding to each part when the sleeper beam is damaged with the frequency corresponding to each part of a normal sleeper beam, and judging the position of the damaged sleeper beam.
2. The method of monitoring bolster damage of claim 1, wherein the method of determining whether the bolster is damaged comprises:
processing the monitoring signal by using a time domain characteristic parameter function, and outputting an analysis result of a time domain characteristic parameter of the monitoring signal, wherein the time domain characteristic parameter comprises a root mean square, a positive peak value, a negative peak value and a peak-to-peak value;
comparing the selected time domain characteristic parameter with the first threshold value;
and if the selected time domain characteristic parameters exceed the first threshold value, judging the damage of the sleeper beam.
3. The method of monitoring damage to a bolster as recited in claim 1, wherein the method of determining the degree of damage to the bolster includes:
outputting the sound characteristics of the monitored signals by using an empirical mode analysis method, then performing waveform refinement analysis on the monitored signals, and outputting time spectrogram waveforms;
comparing the variation trend of the time-spectrum waveform with the second threshold;
if the time spectrogram waveform exceeds the second threshold, judging the occipital beam as damaged, then determining the occurrence time of the occipital beam damage through time domain display of EMD, and determining the frequency range of a monitoring signal when the occipital beam is damaged by combining the spectrogram waveform and the second threshold;
and comparing the frequency range of the monitoring signal with the frequency range of the monitoring signal of the normal sleeper beam, and determining the damage degree of the sleeper beam.
4. The method of monitoring bolster damage of claim 1, wherein the method of determining the location of the bolster where damage occurs comprises:
instantaneous frequency, instantaneous phase and instantaneous amplitude at any moment are defined through Hilbert transformation, instantaneous parameters of short signals and complex signals are found, and analytic signals of monitoring signals are output;
decomposing and reconstructing the monitoring signal through a wavelet packet, and outputting corresponding frequency when each part of the sleeper beam is damaged by combining time-frequency display of the wavelet packet and an envelope frequency spectrum formed by the analytic signal module;
and comparing the corresponding frequency during damage with the corresponding frequency of the normal corbel to determine the damage position of the corbel.
5. The method of monitoring bolster damage of claim 1, further comprising:
processing the monitoring signal by using fast Fourier transform, converting a time domain signal into a frequency domain signal, and outputting a spectrogram waveform;
the integral trend of the sleeper beam monitoring signal waveform is output through a power spectrum analysis method, an integral spectrogram waveform is generated, and important characteristic information of the monitoring signal can be effectively prevented from being leaked;
comparing the overall spectrogram waveform to a fourth threshold;
and when the waveform of the whole spectrogram exceeds a fourth threshold value, further determining that the sleeper beam is damaged.
6. A system for monitoring bolster damage, comprising:
the signal acquisition module is used for acquiring a monitoring signal;
the damage judging module is used for judging whether the sleeper beam is damaged or not;
the damage degree judging module is used for judging the damage degree of the sleeper beam;
and the damage position judging module is used for judging the damage position of the sleeper beam.
7. The bolster damage monitoring system of claim 6,
the damage determination module includes:
the time domain characteristic parameter analysis unit is used for processing the monitoring signal and outputting a time domain characteristic parameter of the monitoring signal;
the time domain characteristic parameter comparison unit is used for comparing the time domain characteristic parameter with a first threshold value;
the damage judging unit is used for judging whether the sleeper beam is damaged or not according to the result of the time domain characteristic parameter comparing unit;
the damage degree judging module comprises:
the empirical mode analysis unit is used for performing waveform refinement on the monitoring signal and outputting a time spectrogram waveform;
a time spectrogram waveform comparing unit for comparing the variation trend of the time spectrogram waveform with the second threshold;
a damage degree judging unit for judging the damage degree of the sleeper beam according to the comparison result of the time spectrogram waveform comparing unit;
the damage position judging module includes:
the Hilbert conversion module unit is used for outputting an analytic signal of the monitoring signal;
the wavelet packet decomposition unit is used for outputting corresponding frequency when each part of the sleeper beam is damaged;
and the damage position judging unit is used for comparing the corresponding frequency during damage with the corresponding frequency of the normal corbel to determine the damage position of the corbel.
8. A bolster damage monitoring device, comprising:
the acoustic emission sensor is arranged on the sleeper beam;
the acoustic emission acquisition card is connected with the acoustic emission sensor and receives the monitoring signal transmitted by the acoustic emission sensor;
and the upper computer analyzes the monitoring signals and judges whether the monitoring signals are damaged or not, the damage degree and the damage position.
9. The bolster damage monitoring device of claim 8, further comprising:
the pre-amplification circuit is connected with the acoustic emission sensor, amplifies a monitoring signal of the acoustic emission sensor and outputs the signal to the acoustic emission acquisition card;
and the signal conditioning circuit is connected with the acoustic emission acquisition card, de-noizes the monitoring signal and transmits the monitoring signal to the upper computer.
10. The device for monitoring damage to the sleeper beam according to claim 8, further comprising a sensor mounting seat, wherein the sensor mounting seat is fixed to the sleeper beam through a screw, the acoustic emission sensor is arranged in the sensor mounting seat, the sensor mounting seat is provided with an opening, one end of the acoustic emission sensor is connected to the sleeper beam through the opening, the other end of the acoustic emission sensor is connected to an elastic element, and the elastic element is fixed to the bottom of the sensor mounting seat.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911317444.7A CN111060603A (en) | 2019-12-19 | 2019-12-19 | Sleeper beam damage monitoring method, system and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911317444.7A CN111060603A (en) | 2019-12-19 | 2019-12-19 | Sleeper beam damage monitoring method, system and device |
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