CN113970409A - Liquefied gas leakage monitoring method and device based on time-frequency domain analysis - Google Patents
Liquefied gas leakage monitoring method and device based on time-frequency domain analysis Download PDFInfo
- Publication number
- CN113970409A CN113970409A CN202111235970.6A CN202111235970A CN113970409A CN 113970409 A CN113970409 A CN 113970409A CN 202111235970 A CN202111235970 A CN 202111235970A CN 113970409 A CN113970409 A CN 113970409A
- Authority
- CN
- China
- Prior art keywords
- liquefied gas
- frequency
- sound intensity
- domain signal
- intensity peak
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 title claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000005070 sampling Methods 0.000 claims abstract description 12
- 230000006837 decompression Effects 0.000 claims abstract description 11
- 230000009466 transformation Effects 0.000 claims abstract description 9
- 238000001914 filtration Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000012806 monitoring device Methods 0.000 claims description 4
- 230000005236 sound signal Effects 0.000 abstract description 16
- 230000035945 sensitivity Effects 0.000 abstract description 3
- 238000013461 design Methods 0.000 description 22
- 238000004590 computer program Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The invention discloses a liquefied gas leakage monitoring method based on time-frequency domain analysis, which comprises the following steps: acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of a liquefied gas tank based on a preset sampling frequency; carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal; carrying out characteristic analysis and processing on the frequency domain signals to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; the natural characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the decompression valve air leakage; and judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value. The characteristic of the sound signal with fixed frequency generated when the liquefied gas flow passes through the pressure relief valve is that the sound signal is collected in real time and analyzed, even if the liquefied gas tank only generates trace liquefied gas leakage, the effective judgment can be carried out through the method, and the sensitivity and the real-time performance of monitoring the liquefied gas leakage are improved.
Description
Technical Field
The invention belongs to the technical field of liquefied gas leakage monitoring, and particularly relates to a liquefied gas leakage monitoring method and device based on time-frequency domain analysis.
Background
With the rapid development of liquefied gas, which is a new clean energy source, the application of liquefied gas is generally regarded by the nation, and the number of liquefied gas users is increasing. While liquefied gas brings convenience to life of people, potential danger of the leakage problem of the liquefied gas cannot be ignored. Liquefied gas belongs to flammable and explosive articles, the explosion power of the liquefied gas is very high, but due to the lack of an effective liquefied gas leakage monitoring means, explosion accidents frequently occur. Therefore, the safety monitoring of the liquefied gas using process is of great significance to guarantee the production and life of people.
In the prior art, a gas concentration monitoring method is generally adopted as a monitoring method for liquefied gas leakage, the method requires that an abnormal alarm is given only after a certain concentration is reached in a closed space, the method is sensitive to selection of space point positions, if a monitoring point is far away from a leakage position, the leakage amount is large, the leakage time is long, and great hidden danger is brought to user safety. Meanwhile, the gas concentration monitoring sensor is high in price, and needs high cost and poor user experience if all monitoring points are to be covered.
Disclosure of Invention
The invention aims to provide a liquefied gas leakage monitoring method and a liquefied gas leakage monitoring device based on time-frequency domain analysis, which are used for solving at least one technical problem in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for monitoring liquefied gas leakage based on time-frequency domain analysis, including:
acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of a liquefied gas tank based on a preset sampling frequency;
carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
carrying out characteristic analysis and processing on the frequency domain signals to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
and judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value.
In one possible design, before performing a fast fourier transform on the time-domain signal to obtain a frequency-domain signal corresponding to the time-domain signal, the method further includes:
and carrying out high-pass filtering on the time domain signal to filter out low-frequency signals below a cut-off frequency.
In one possible design, performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to a natural feature frequency group includes:
carrying out envelope detection on the frequency domain signal to obtain an upper envelope line of the frequency domain signal;
traversing and searching all frequency data points to locate all sound intensity peak points in the upper envelope line;
and determining the sound intensity peak value group corresponding to the inherent characteristic frequency group from all the sound intensity peak value points.
In one possible design, the determining whether the liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold value includes:
judging whether the sound intensity peak value group exceeds an air leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
and if no sound intensity threshold value exceeding the use threshold value T1 exists in the sound intensity peak value group, determining that a liquefied gas leakage event occurs, otherwise determining that the liquefied gas tank is in a normal use state.
In one possible design, the method further includes:
and collecting gas flow data in a liquefied gas pipe of the liquefied gas tank, and judging the current specific use state of the liquefied gas tank according to the gas flow data.
In one possible embodiment, the time-domain signal of the sound data is acquired by a microphone module, which is arranged at the outlet of the pressure reducing valve.
In one possible embodiment, the gas flow data are acquired by a gas flow meter which is arranged on the liquefied gas line.
In a second aspect, the present invention provides a liquefied gas leakage monitoring device based on time-frequency domain analysis, including:
the signal acquisition module is used for acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of the liquefied gas tank based on a preset sampling frequency;
the signal conversion module is used for carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
the signal processing module is used for carrying out characteristic analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
and the event judgment module is used for judging whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value group and a preset threshold value.
In one possible design, the apparatus further includes:
and the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter out low-frequency signals below a cut-off frequency.
In one possible design, the signal processing module is specifically configured to perform feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent feature frequency group, and:
carrying out envelope detection on the frequency domain signal to obtain an upper envelope line of the frequency domain signal;
traversing and searching all frequency data points to locate all sound intensity peak points in the upper envelope line;
and determining the sound intensity peak value group corresponding to the inherent characteristic frequency group from all the sound intensity peak value points.
In a possible design, when determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold, the event determination module is specifically configured to:
judging whether the sound intensity peak value group exceeds an air leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
and if no sound intensity threshold value exceeding the use threshold value T1 exists in the sound intensity peak value group, determining that a liquefied gas leakage event occurs, otherwise determining that the liquefied gas tank is in a normal use state.
In one possible design, the apparatus further includes:
and the state judgment module is used for acquiring gas flow data in a liquefied gas pipe of the liquefied gas tank and judging the current specific use state of the liquefied gas tank according to the gas flow data.
In a third aspect, the present invention provides a computer device, comprising a memory, a processor and a transceiver, which are connected in series in communication, wherein the memory is used for storing a computer program, the transceiver is used for sending and receiving messages, and the processor is used for reading the computer program and executing the liquefied gas leakage monitoring method based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon instructions for executing the method for monitoring leakage of liquefied gas based on time-frequency domain analysis according to any one of the possible designs of the first aspect, when the instructions are run on a computer.
In a fifth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method for liquefied gas leakage monitoring based on time-frequency domain analysis as set forth in any one of the possible designs of the first aspect.
Has the advantages that:
the method comprises the steps that based on a preset sampling frequency, a time domain signal of sound data of a plurality of seconds is collected at an outlet of a pressure relief valve of a liquefied gas tank; performing Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal; obtaining a sound intensity peak value group corresponding to the inherent characteristic frequency group by carrying out characteristic analysis and processing on the frequency domain signal; and judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value. The invention utilizes the characteristic of the sound signal with fixed frequency generated when the liquefied gas flow passes through the pressure relief valve, and the sound signal is collected in real time and analyzed, so that even if the liquefied gas tank only generates trace liquefied gas leakage, the effective judgment can be carried out through the invention, and the sensitivity and the real-time performance of monitoring the liquefied gas leakage are improved.
Drawings
Fig. 1 is a flowchart of a method for monitoring leakage of liquefied gas based on time-frequency domain analysis in the present embodiment;
FIG. 2(a), FIG. 2(b) and FIG. 2(c) are respectively the time domain signal and the frequency domain signal of the sound data at the outlet of the decompression valve when the background contains different white noise interferences;
FIG. 3(a), FIG. 3(b) and FIG. 3(c) are the time domain signal and the frequency domain signal, respectively, of the sound data at the outlet of the decompression valve when the background contains different artificial noise interferences;
fig. 4 is a schematic structural diagram of a signal acquisition device applied to the liquefied gas leakage monitoring method based on time-frequency domain analysis in the embodiment;
fig. 5 is a block diagram of a liquefied gas leakage monitoring apparatus based on time-frequency domain analysis in this embodiment.
Wherein, 1-liquefied gas cylinder; 2-liquefied gas pipe; 3-a pressure reducing valve; 4-a sound signal acquisition module; 5-a flow sensor; 6-a control module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments in the present description, belong to the protection scope of the present invention.
Examples
As shown in fig. 1, in a first aspect, the present embodiment provides a method for monitoring liquefied gas leakage based on time-frequency domain analysis, including but not limited to steps S101 to S104:
s101, collecting a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of a liquefied gas tank based on a preset sampling frequency;
it should be noted that, in step S101, since the characteristic frequency of the generated sound signal is about 5kHz to 25kHz when the gas leaks from the outlet of the decompression valve, the preset sampling frequency may be a sampling frequency greater than 5kHz, and preferably, the sampling frequency of 8.82kHz is adopted in this embodiment. In addition, the data volume of several seconds can be continuously collected according to the requirement of data analysis, preferably, 5 seconds of sound data can be collected, so that the requirement of subsequent time-frequency domain analysis on signals is met.
S102, performing Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
in an optional design of step S102, when performing a fourier fast transform on the time-domain signal, the time-domain signal may be subjected to a fourier fast transform with a transform length N, where N is a natural number, and preferably, N is 525824, so as to obtain a feature distribution of the frequency-domain signal.
Wherein, in one possible design, before step S102, the method further includes:
and carrying out high-pass filtering on the time domain signal to filter out low-frequency signals below a cut-off frequency.
Wherein, preferably, the cut-off frequency can be set to 5kHz so as to ensure that the sound signal of gas leakage at the outlet of the decompression valve can be kept.
As shown in fig. 2(a), 2(b) and 2(c) and fig. 3(a), 3(a) and 3(c), if the time domain signal is not high-pass filtered, the low frequency signal below the cutoff frequency is interfered by the background noise, and after the time domain signal is converted into the frequency domain signal, the characteristic distribution of the low frequency signal below the cutoff frequency shows a large anomaly. However, in this embodiment, only the feature analysis needs to be performed on the high-frequency signal above the cut-off frequency, so that the high-pass filtering of the time-domain signal is only an optional implementation manner, and is not limited herein.
S103, carrying out characteristic analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
in an optional implementation manner of step S103, performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group, specifically includes:
step S1031, carrying out envelope detection on the frequency domain signal to obtain an upper envelope line of the frequency domain signal;
specifically, when the envelope detection is performed on the frequency domain signal, the envelope detection can be implemented by using a spline interpolation method on the local maximum of each M frequency data points, and the specific interpolation algorithm principle adopts the existing algorithm principle, which is not described herein again. Preferably, envelope detection can be achieved using spline interpolation at the local maximum of every 200 frequency data points.
S1032, traversing and searching all frequency data points to locate all sound intensity peak points in the upper envelope line;
step S1033, determining a sound intensity peak value group corresponding to the inherent characteristic frequency group from all sound intensity peak value points.
And S104, judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value.
In one possible design of step S104, determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold value includes:
s1041, judging whether the sound intensity peak value group has a gas leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
wherein, it is noted that the air leakage threshold T0The sound intensity corresponding to the inherent characteristic frequency of the pressure relief valve in the sound frequency domain in the air leakage state can be obtained through early calibration; similarly, the use threshold T1The sound intensity corresponding to the inherent characteristic frequency of the sound frequency domain of the pressure relief valve in the normal use state can be obtained through early calibration.
And S1042, if the sound intensity threshold value exceeding the use threshold value T1 does not exist in the sound intensity peak value group, judging that a liquefied gas leakage event occurs, and otherwise, judging that the liquefied gas tank is in a normal use state.
The normal use state includes a small fire state, a medium fire state and a large fire state.
In one possible design, to determine a specific usage state of the liquid gas tank, the method further includes:
and S105, collecting gas flow data in a liquefied gas pipe of the liquefied gas tank, and judging the current specific use state of the liquefied gas tank according to the gas flow data.
In one possible embodiment, the time-domain signal of the sound data is acquired by a microphone module, which is arranged at the outlet of the pressure reducing valve.
In one possible embodiment, the gas flow data are acquired by a gas flow meter which is arranged on the liquefied gas line.
As shown in fig. 4, the signal acquisition device adopted in this embodiment may include a liquefied gas tank 1, a liquefied gas pipe 2 is connected to an air outlet of the liquefied gas tank 1, a pressure reducing valve 3 is disposed on the liquefied gas pipe 2, a sound signal acquisition module 4 is disposed at an outlet of the pressure reducing valve 3, and the sound signal acquisition module 4 is configured to acquire a sound signal at the outlet of the pressure reducing valve 3 in real time; the liquefied gas pipe 2 is also provided with a flow sensor 5, and the flow sensor 5 is used for detecting the gas flow in the liquefied gas pipe 2 in real time; the voice signal acquisition module 4 with the flow sensor 5 is connected with control module 6 electricity respectively, and is preferred, control module 6 is the singlechip, control module 6 still is connected with wireless communication module electricity, wireless communication module still with high in the clouds server communication connection, the high in the clouds server still with user terminal communication connection.
It should be noted that, in the use process of the liquefied gas, there is a gas flow at the outlet of the pressure reducing valve 3, at this time, the gas can make a sound, and by arranging the sound signal collecting module 4 at the outlet, preferably, the sound signal collecting module 4 is a microphone module, the change of the sound signal can be collected, wherein, the value collected by the sound signal collecting module 4 is an electrical signal, and the electrical signal needs to be subjected to analog-to-digital conversion and then transmitted to the control module 6, so that the control module 6 can perform identification and analysis processing.
It should be noted that, by arranging the flow sensor 5 on the liquefied gas pipe 2, it is possible to detect whether an abnormal condition exists in a current usage scenario of the liquefied gas, where the usage scenario includes a small fire, a medium fire, and a large fire, where a gas flow signal acquired by the gas flow is an electrical signal, and the electrical signal needs to be subjected to analog-to-digital conversion and then transmitted to the control module 6, so that the control module 6 performs identification and analysis processing.
It should be noted that, a computer program for implementing the method for monitoring liquefied gas leakage based on time-frequency domain analysis according to this embodiment is embedded in the control module 6, and the execution flow of the computer is as described above and is not described herein again.
Based on the above disclosure, the embodiment collects a time domain signal of sound data for several seconds at the outlet of the relief valve of the liquefied gas tank based on a preset sampling frequency; performing Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal; obtaining a sound intensity peak value group corresponding to the inherent characteristic frequency group by carrying out characteristic analysis and processing on the frequency domain signal; and judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value. The invention utilizes the characteristic of the sound signal with fixed frequency generated when the liquefied gas flow passes through the pressure relief valve, and the sound signal is collected in real time and analyzed, so that even if the liquefied gas tank only generates trace liquefied gas leakage, the effective judgment can be carried out through the invention, and the sensitivity and the real-time performance of monitoring the liquefied gas leakage are improved.
In a second aspect, the present invention provides a liquefied gas leakage monitoring device based on time-frequency domain analysis, including:
the signal acquisition module is used for acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of the liquefied gas tank based on a preset sampling frequency;
the signal conversion module is used for carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
the signal processing module is used for carrying out characteristic analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
and the event judgment module is used for judging whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value group and a preset threshold value.
In one possible design, the apparatus further includes:
and the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter out low-frequency signals below a cut-off frequency.
In one possible design, the signal processing module is specifically configured to perform feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent feature frequency group, and:
carrying out envelope detection on the frequency domain signal to obtain an upper envelope line of the frequency domain signal;
traversing and searching all frequency data points to locate all sound intensity peak points in the upper envelope line;
and determining the sound intensity peak value group corresponding to the inherent characteristic frequency group from all the sound intensity peak value points.
In a possible design, when determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold, the event determination module is specifically configured to:
judging whether the sound intensity peak value group exceeds an air leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
and if no sound intensity threshold value exceeding the use threshold value T1 exists in the sound intensity peak value group, determining that a liquefied gas leakage event occurs, otherwise determining that the liquefied gas tank is in a normal use state.
In one possible design, the apparatus further includes:
and the state judgment module is used for acquiring gas flow data in a liquefied gas pipe of the liquefied gas tank and judging the current specific use state of the liquefied gas tank according to the gas flow data.
In a third aspect, the present invention provides a computer device, comprising a memory, a processor and a transceiver, which are connected in series in communication, wherein the memory is used for storing a computer program, the transceiver is used for sending and receiving messages, and the processor is used for reading the computer program and executing the liquefied gas leakage monitoring method based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon instructions for executing the method for monitoring leakage of liquefied gas based on time-frequency domain analysis according to any one of the possible designs of the first aspect, when the instructions are run on a computer.
In a fifth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method for liquefied gas leakage monitoring based on time-frequency domain analysis as set forth in any one of the possible designs of the first aspect.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A liquefied gas leakage monitoring method based on time-frequency domain analysis is characterized by comprising the following steps:
acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of a liquefied gas tank based on a preset sampling frequency;
carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
carrying out characteristic analysis and processing on the frequency domain signals to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
and judging whether a liquefied gas leakage event occurs or not according to the numerical relation between the sound intensity peak value group and a preset threshold value.
2. A method for monitoring leakage of liquefied gas based on time-frequency domain analysis according to claim 1, wherein before performing fast fourier transform on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal, the method further comprises:
and carrying out high-pass filtering on the time domain signal to filter out low-frequency signals below a cut-off frequency.
3. A method for monitoring liquefied gas leakage based on time-frequency domain analysis according to claim 1, wherein the step of performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to a natural feature frequency group comprises:
carrying out envelope detection on the frequency domain signal to obtain an upper envelope line of the frequency domain signal;
traversing and searching all frequency data points to locate all sound intensity peak points in the upper envelope line;
and determining the sound intensity peak value group corresponding to the inherent characteristic frequency group from all the sound intensity peak value points.
4. The liquefied gas leakage monitoring method based on time-frequency domain analysis according to claim 1, wherein determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold value comprises:
judging whether the sound intensity peak value group exceeds an air leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
and if no sound intensity threshold value exceeding the use threshold value T1 exists in the sound intensity peak value group, determining that a liquefied gas leakage event occurs, otherwise determining that the liquefied gas tank is in a normal use state.
5. A method for monitoring leakage of liquefied gas based on time-frequency domain analysis according to any of claims 1-4, wherein the method further comprises:
and collecting gas flow data in a liquefied gas pipe of the liquefied gas tank, and judging the current specific use state of the liquefied gas tank according to the gas flow data.
6. A liquefied gas leakage monitoring method based on time-frequency domain analysis according to claim 1, wherein the time domain signal of the sound data is collected by a microphone module, and the microphone module is arranged at the outlet of the pressure reducing valve.
7. A liquefied gas leakage monitoring method based on time-frequency domain analysis according to claim 5, wherein the gas flow data is collected by a gas flow meter, and the gas flow meter is disposed on the liquefied gas pipe.
8. A liquefied gas leakage monitoring device based on time-frequency domain analysis is characterized by comprising:
the signal acquisition module is used for acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a pressure relief valve of the liquefied gas tank based on a preset sampling frequency;
the signal conversion module is used for carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
the signal processing module is used for carrying out characteristic analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; wherein the inherent characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to the leakage of the decompression valve;
and the event judgment module is used for judging whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value group and a preset threshold value.
9. A liquefied gas leakage monitoring apparatus based on time-frequency domain analysis according to claim 8, wherein the apparatus further comprises:
and the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter out low-frequency signals below a cut-off frequency.
10. A liquefied gas leakage monitoring apparatus according to claim 8, wherein when determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak value group and a preset threshold, the event determining module is specifically configured to:
judging whether the sound intensity peak value group exceeds an air leakage threshold value T or not0If not, determining that no liquefied gas leakage event occurs, otherwise, further determining whether the sound intensity peak value group has a value exceeding a use threshold value T1Sound intensity peak of (a);
and if no sound intensity threshold value exceeding the use threshold value T1 exists in the sound intensity peak value group, determining that a liquefied gas leakage event occurs, otherwise determining that the liquefied gas tank is in a normal use state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111235970.6A CN113970409B (en) | 2021-10-22 | 2021-10-22 | Liquefied gas leakage monitoring method and device based on time-frequency domain analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111235970.6A CN113970409B (en) | 2021-10-22 | 2021-10-22 | Liquefied gas leakage monitoring method and device based on time-frequency domain analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113970409A true CN113970409A (en) | 2022-01-25 |
| CN113970409B CN113970409B (en) | 2024-04-12 |
Family
ID=79588055
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111235970.6A Active CN113970409B (en) | 2021-10-22 | 2021-10-22 | Liquefied gas leakage monitoring method and device based on time-frequency domain analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113970409B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117292715A (en) * | 2023-11-22 | 2023-12-26 | 天津声格智能科技有限公司 | Method, system, apparatus and medium for detecting gas leakage in a pipeline using sound |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4960079A (en) * | 1989-08-03 | 1990-10-02 | Marziale Michael L | Acoustic leak detection system |
| US5117676A (en) * | 1991-02-25 | 1992-06-02 | Hughes Aircraft Company | Leak detector for natural gas pipelines |
| CN102076369A (en) * | 2008-06-26 | 2011-05-25 | 甘布罗伦迪亚股份公司 | Methods and devices for monitoring the integrity or a fluid connection |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN108804796A (en) * | 2018-05-31 | 2018-11-13 | 中冶华天南京工程技术有限公司 | Ring cold machine air leak rate of air curtain detection method based on spectrum signature |
| CN111964848A (en) * | 2020-09-27 | 2020-11-20 | 防灾科技学院 | Small pressure container trace gas leakage emergency ultrasonic detection system and method |
| CN112763155A (en) * | 2021-02-02 | 2021-05-07 | 南京信息工程大学 | Pressure container gas leakage detection method |
-
2021
- 2021-10-22 CN CN202111235970.6A patent/CN113970409B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4960079A (en) * | 1989-08-03 | 1990-10-02 | Marziale Michael L | Acoustic leak detection system |
| US5117676A (en) * | 1991-02-25 | 1992-06-02 | Hughes Aircraft Company | Leak detector for natural gas pipelines |
| CN102076369A (en) * | 2008-06-26 | 2011-05-25 | 甘布罗伦迪亚股份公司 | Methods and devices for monitoring the integrity or a fluid connection |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN108804796A (en) * | 2018-05-31 | 2018-11-13 | 中冶华天南京工程技术有限公司 | Ring cold machine air leak rate of air curtain detection method based on spectrum signature |
| CN111964848A (en) * | 2020-09-27 | 2020-11-20 | 防灾科技学院 | Small pressure container trace gas leakage emergency ultrasonic detection system and method |
| CN112763155A (en) * | 2021-02-02 | 2021-05-07 | 南京信息工程大学 | Pressure container gas leakage detection method |
Non-Patent Citations (1)
| Title |
|---|
| 杨红英等: "基于管内声波的输气管道泄漏诊断方法研究", 计算机与应用化学, vol. 27, no. 08, 28 August 2010 (2010-08-28), pages 7 - 10 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117292715A (en) * | 2023-11-22 | 2023-12-26 | 天津声格智能科技有限公司 | Method, system, apparatus and medium for detecting gas leakage in a pipeline using sound |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113970409B (en) | 2024-04-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA3055191C (en) | Methods and apparatus to analyze recordings in leak detection | |
| Mei et al. | Adaptive signal enhancement based on improved VMD-SVD for leak location in water-supply pipeline | |
| CN106352243A (en) | Gas transmission pipeline leakage detection system based on acoustic method | |
| CN105096946A (en) | Voice activation detection based awakening device and method | |
| CN113970409B (en) | Liquefied gas leakage monitoring method and device based on time-frequency domain analysis | |
| CN102928225A (en) | Self-adaptive resonance demodulation method for fault diagnosis of rolling bearing | |
| CN113670434B (en) | Method and device for identifying sound abnormality of substation equipment and computer equipment | |
| CN102509550A (en) | Sound information processing method and user equipment | |
| CN113008361A (en) | Substation boundary noise anti-environmental interference detection method and device | |
| CN110529746B (en) | Method, device and equipment for detecting pipeline leakage | |
| CN112539887A (en) | WT-LCD-WD-based pipeline leakage signal denoising method | |
| CN101126744A (en) | Ceramic carrier embrittlement detection method in ternary catalytic converter assembly | |
| CN216433419U (en) | Liquefied gas leakage detection device based on sound signal | |
| CN211478951U (en) | Fault diagnosis device and fault diagnosis system | |
| CN112666430A (en) | Intelligent transformer voiceprint fault detection method and system | |
| CN103344893A (en) | Distributed cable partial discharge measuring method based on frequency conversion series resonance high-voltage holding test | |
| CN211477587U (en) | Online safety early warning device and fault diagnosis system | |
| Zhao et al. | Pipeline leak fault feature extraction based on wavelet packet analysis and application | |
| CN1816164B (en) | Anti-noise method for multi-frequency signal sound detection | |
| CN115597790A (en) | Heat supply pipeline leakage detection and positioning method based on multi-source information fusion | |
| CN110701490B (en) | Pipeline leakage monitoring method and equipment | |
| CN114166491A (en) | Target equipment fault monitoring method and device, electronic equipment and medium | |
| Ye et al. | Power plant production equipment abnormal sound perception method research based on machine hearing | |
| CN115388343B (en) | Efficient marine oil and gas pipeline leakage detection and positioning method and system | |
| CN220436260U (en) | Leakage detection system of gas pipeline |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |