CN113970409B - 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
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Abstract
The invention discloses a liquefied gas leakage monitoring method based on time-frequency domain analysis, which comprises the following steps: based on a preset sampling frequency, acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a decompression valve of the liquefied gas tank; performing Fourier fast transformation on the time domain signals to obtain frequency domain signals corresponding to the time domain signals; performing 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 air leakage of the decompression valve; and 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. The invention can effectively judge even if the liquefied gas tank only leaks a little amount of liquefied gas, and improves the sensitivity and real-time performance of liquefied gas leakage monitoring.
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 the novel clean energy source of the liquefied gas, the application of the novel clean energy source is widely paid attention to by the nation, and the number of liquefied gas users is continuously increasing. While liquefied gas brings convenience for people's life, the potential danger of leakage problem of liquefied gas is not ignored. Liquefied gas belongs to inflammable and explosive articles, and has great explosion power, but the explosion accident frequently occurs due to the lack of effective liquefied gas leakage monitoring means. Therefore, the safety monitoring of the liquefied gas using process is of great significance for guaranteeing the production and life of people.
In the prior art, a gas concentration monitoring method is generally adopted for monitoring leakage of liquefied gas, abnormal alarm can be carried out after a certain concentration is required to be achieved in a closed space, the method is sensitive to selection of space point positions, if the 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 price of the gas concentration monitoring sensor is higher, if all monitoring points are required to be covered, higher cost is required, and the user experience is poor.
Disclosure of Invention
The invention aims to provide a liquefied gas leakage monitoring method and device based on time-frequency domain analysis, which are used for solving at least one technical problem existing in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for monitoring leakage of liquefied gas based on time-frequency domain analysis, comprising:
based on a preset sampling frequency, acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a decompression valve of the liquefied gas tank;
performing Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
performing characteristic analysis and processing on the frequency domain signals to obtain sound intensity peak value groups corresponding to the inherent characteristic frequency groups; the natural characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to air leakage of the decompression valve;
and 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, before performing fourier fast transformation 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 set corresponding to the natural characteristic frequency set, where the method includes:
performing envelope detection on the frequency domain signal to obtain an upper envelope of the frequency domain signal;
performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
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, determining whether a liquefied gas leakage event occurs according to a numerical relationship between the sound intensity peak set and a preset threshold value includes:
judging whether the air leakage threshold T is exceeded in the sound intensity peak value group 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
and if the sound intensity threshold exceeding the use threshold T1 does not exist in the sound intensity peak group, judging that the liquefied gas leakage event occurs, otherwise, judging that the liquefied gas tank is in a normal use state.
In one possible design, 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.
In one possible design, 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 design, the gas flow data is acquired by a gas flow meter, which is arranged on the liquefied gas pipe.
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 the outlet of the decompression 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 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 air leakage of the decompression valve;
and the event judging module is used for judging whether the 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 comprises:
and the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter low-frequency signals below a cut-off frequency.
In one possible design, the signal processing module is specifically configured to, after performing feature analysis and processing on the frequency domain signal, obtain a sound intensity peak set corresponding to the natural feature frequency set:
performing envelope detection on the frequency domain signal to obtain an upper envelope of the frequency domain signal;
performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
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, when judging whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value set and a preset threshold value, the event judging module is specifically configured to:
judging whether the air leakage threshold T is exceeded in the sound intensity peak value group 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
and if the sound intensity threshold exceeding the use threshold T1 does not exist in the sound intensity peak group, judging that the liquefied gas leakage event occurs, otherwise, judging that the liquefied gas tank is in a normal use state.
In one possible design, the apparatus further comprises:
the state judging module is used for collecting gas flow data in the 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 in communication with each other in sequence, wherein the memory is configured to store a computer program, the transceiver is configured to send and receive messages, and the processor is configured to read the computer program and perform a method for monitoring leakage of liquefied gas 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 instructions stored thereon which, when run on a computer, perform a method of monitoring leakage of liquefied gas based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
In a fifth aspect, the invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method of monitoring leakage of liquefied gas based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
The beneficial effects are that:
based on preset sampling frequency, the invention collects the time domain signal of sound data of a plurality of seconds at the outlet of the decompression valve of the liquefied gas tank; carrying out Fourier fast transformation on the time domain signals to obtain frequency domain signals corresponding to the time domain signals; the frequency domain signals are subjected to characteristic analysis and processing to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; and 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. According to the invention, by utilizing the characteristic of the fixed-frequency sound signal generated when the liquefied gas flows through the decompression valve, the sound signal is collected in real time and analyzed, and even if the liquefied gas tank only leaks a small amount of liquefied gas, the liquefied gas leakage monitoring device can effectively judge, thereby improving the sensitivity and the real-time performance of the liquefied gas leakage monitoring.
Drawings
Fig. 1 is a flowchart of a liquefied gas leakage monitoring method based on time-frequency domain analysis in the present embodiment;
fig. 2 (a), 2 (b) and 2 (c) are respectively a time domain signal and a frequency domain signal of sound data at the outlet of the decompression valve when the background contains different white noise interferences;
fig. 3 (a), 3 (b) and 3 (c) are respectively a time domain signal and a frequency domain signal of sound data at the outlet of the decompression valve when the background contains different noise artifacts;
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 present embodiment;
fig. 5 is a block diagram of the liquefied gas leakage monitoring device based on time-frequency domain analysis in the present embodiment.
Wherein, 1-liquefied gas tank; 2-liquefied gas pipe; 3-a pressure reducing valve; 4-a sound signal acquisition module; 5-a flow sensor; and 6, a control module.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present specification more clear, the technical solutions of the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are some embodiments of the present specification, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present invention based on the embodiments herein.
Examples
As shown in fig. 1, in a first aspect, the present embodiment provides a liquefied gas leakage monitoring method based on time-frequency domain analysis, including but not limited to the implementation of steps S101 to S104:
s101, acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a decompression 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 at the outlet of the decompression valve, the preset sampling frequency may be a sampling frequency greater than 5kHz, and preferably, the embodiment uses a sampling frequency of 8.82 kHz. In addition, the data amount of a plurality of seconds can be continuously acquired according to the data analysis requirement, preferably, the voice data of 5 seconds can be acquired so as to meet the subsequent requirement of time-frequency domain analysis on the signals.
S102, carrying out Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
in an alternative design of step S102, when performing fourier fast transformation on the time domain signal, fourier fast transformation with a transformation length of N may be performed on the time domain signal, where N is a natural number, preferably, n= 525824, so as to obtain a feature distribution of the frequency domain signal.
Wherein, in one possible design, prior to step S102, 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.
Wherein, preferably, the cutoff frequency can be set to 5kHz to ensure that the sound signal of the 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 subjected to high-pass filtering, the low frequency signal below the cut-off frequency may be interfered by 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 cut-off frequency may show a large anomaly. However, since the present embodiment only needs to perform feature analysis on the high-frequency signal above the cut-off frequency, the high-pass filtering on the time-domain signal is only an alternative implementation, which is not limited herein.
S103, performing feature analysis and processing on the frequency domain signals to obtain sound intensity peak value groups corresponding to the inherent feature frequency groups; the natural characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to air leakage of the decompression valve;
in an optional implementation manner in step S103, the performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak set corresponding to the natural feature frequency set specifically includes:
s1031, carrying out envelope detection on the frequency domain signal to obtain an upper envelope curve of the frequency domain signal;
specifically, when envelope detection is performed on the frequency domain signal, the envelope detection can be implemented by using a spline interpolation method on a local maximum value of each M frequency data points, and a specific interpolation algorithm principle adopts an existing algorithm principle and is not described herein. Preferably, the envelope detection can be achieved using spline interpolation at local maxima of every 200 frequency data points.
S1032, performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
and 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 according to the numerical relation between the sound intensity peak value group and a preset threshold value.
In one possible design in step S104, determining whether a liquefied gas leakage event occurs according to the numerical relationship between the sound intensity peak set and the preset threshold includes:
s1041, judging whether the sound intensity peak value group exceeds the air leakage threshold value T 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
wherein, the leakage threshold T 0 The sound intensity corresponding to the natural characteristic frequency of the decompression valve in the sound frequency domain under the air leakage state can be obtained through early calibration; similarly, the usage threshold T 1 The sound intensity corresponding to the inherent characteristic frequency of the decompression valve in the sound frequency domain under the normal use state can be obtained through early calibration.
Step s1042. if the sound intensity threshold exceeding the usage threshold T1 does not exist in the sound intensity peak group, then it is determined that a liquefied gas leakage event occurs, otherwise it is determined that the liquefied gas tank is in a normal usage 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 status of the liquefied gas tank, the method further includes:
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 design, 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 design, the gas flow data is acquired by a gas flow meter, which is arranged on the liquefied gas pipe.
As shown in fig. 4, the signal acquisition device used in this embodiment may include a liquefied gas tank 1, an air outlet of the liquefied gas tank 1 is connected with a liquefied gas pipe 2, a pressure reducing valve 3 is disposed on the liquefied gas pipe 2, an acoustic signal acquisition module 4 is disposed at an outlet of the pressure reducing valve 3, and the acoustic signal acquisition module 4 is configured to acquire an acoustic signal at an 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 sound signal acquisition module 4 and the flow sensor 5 are respectively and electrically connected with the control module 6, preferably, the control module 6 is a singlechip, the control module 6 is further electrically connected with the wireless communication module, the wireless communication module is further in communication connection with the cloud server, and the cloud server is further in communication connection with the user terminal.
It should be noted that, because the liquefied gas flows at the outlet of the pressure reducing valve 3 during the use process, the gas emits sound at this time, and the sound signal collecting module 4 is set at the outlet, and the sound signal collecting module 4 is preferably a microphone module, so that the change of the sound signal can be collected, where the value collected by the sound signal collecting module 4 is an electrical signal, and the electrical signal needs to be transmitted to the control module 6 after being subjected to analog-to-digital conversion, so that the control module 6 performs recognition and analysis processing.
It should be noted that, by setting the flow sensor 5 on the liquefied gas pipe 2, it is possible to detect whether the current liquefied gas usage situation is abnormal, where the usage situation includes small fire, medium fire and big fire, and the gas flow signal acquired by gas flow is an electrical signal, and the electrical signal needs to be transmitted to the control module 6 after being subjected to analog-to-digital conversion, so that the control module 6 performs identification and analysis processing.
It should be noted that, the control module 6 is embedded with a computer program for implementing the method for monitoring leakage of liquefied gas based on time-frequency domain analysis in this example, and the execution flow of the computer is as described above and will not be described herein.
Based on the above disclosure, the present embodiment collects a time domain signal of sound data for several seconds at the outlet of the liquefied gas tank decompression valve based on a preset sampling frequency; carrying out Fourier fast transformation on the time domain signals to obtain frequency domain signals corresponding to the time domain signals; the frequency domain signals are subjected to characteristic analysis and processing to obtain a sound intensity peak value group corresponding to the inherent characteristic frequency group; and 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. According to the invention, by utilizing the characteristic of the fixed-frequency sound signal generated when the liquefied gas flows through the decompression valve, the sound signal is collected in real time and analyzed, and even if the liquefied gas tank only leaks a small amount of liquefied gas, the liquefied gas leakage monitoring device can effectively judge, thereby improving the sensitivity and the real-time performance of the liquefied gas leakage monitoring.
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 the outlet of the decompression 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 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 air leakage of the decompression valve;
and the event judging module is used for judging whether the 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 comprises:
and the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter low-frequency signals below a cut-off frequency.
In one possible design, the signal processing module is specifically configured to, after performing feature analysis and processing on the frequency domain signal, obtain a sound intensity peak set corresponding to the natural feature frequency set:
performing envelope detection on the frequency domain signal to obtain an upper envelope of the frequency domain signal;
performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
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, when judging whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value set and a preset threshold value, the event judging module is specifically configured to:
judging whether the air leakage threshold T is exceeded in the sound intensity peak value group 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
and if the sound intensity threshold exceeding the use threshold T1 does not exist in the sound intensity peak group, judging that the liquefied gas leakage event occurs, otherwise, judging that the liquefied gas tank is in a normal use state.
In one possible design, the apparatus further comprises:
the state judging module is used for collecting gas flow data in the 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 in communication with each other in sequence, wherein the memory is configured to store a computer program, the transceiver is configured to send and receive messages, and the processor is configured to read the computer program and perform a method for monitoring leakage of liquefied gas 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 instructions stored thereon which, when run on a computer, perform a method of monitoring leakage of liquefied gas based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
In a fifth aspect, the invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method of monitoring leakage of liquefied gas based on time-frequency domain analysis as described in any one of the possible designs of the first aspect.
Finally, it should be noted that: the foregoing description is only of the preferred embodiments of the invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A method for monitoring leakage of liquefied gas based on time-frequency domain analysis, comprising:
based on a preset sampling frequency, acquiring a time domain signal of sound data of a plurality of seconds at an outlet of a decompression valve of the liquefied gas tank;
performing Fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal;
performing characteristic analysis and processing on the frequency domain signals to obtain sound intensity peak value groups corresponding to the inherent characteristic frequency groups; the natural characteristic frequency group is a frequency group formed by a plurality of characteristic frequencies related to air leakage of the decompression valve;
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;
before performing fourier fast transformation on the time domain signal to obtain a frequency domain signal corresponding to the time domain signal, the method further includes:
high-pass filtering is carried out on the time domain signal so as to filter low-frequency signals below a cut-off frequency;
performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent feature frequency group, wherein the method comprises the following steps:
performing envelope detection on the frequency domain signal to obtain an upper envelope of the frequency domain signal;
performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
determining a sound intensity peak value group corresponding to the inherent characteristic frequency group from all sound intensity peak value points;
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, wherein the judging comprises the following steps:
judging whether the air leakage threshold T is exceeded in the sound intensity peak value group 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
if the use threshold T is not exceeded in the sound intensity peak value group 1 If the sound intensity threshold value of the gas storage tank is not equal to the sound intensity threshold value of the gas storage tank, judging that the liquefied gas leakage event occurs, otherwise judging that the liquefied gas storage tank is in a normal use state;
the method further comprises the steps of:
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;
the time domain signals of the sound data are acquired through a microphone module, and the microphone module is arranged at the outlet of the pressure reducing valve;
the cut-off frequency is set to 5kHz;
the gas flow data are acquired through a gas flow device which is arranged on the liquefied gas pipe.
2. A liquefied gas leakage monitoring device based on time-frequency domain analysis, comprising:
the signal acquisition module is used for acquiring a time domain signal of sound data of a plurality of seconds at the outlet of the decompression 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 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 air leakage of the decompression valve;
the event judging module judges whether a liquefied gas leakage event occurs according to the numerical relation between the sound intensity peak value group and a preset threshold value;
the apparatus further comprises:
the filtering module is used for carrying out high-pass filtering on the time domain signal so as to filter low-frequency signals below a cut-off frequency;
when 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, the event judging module is specifically configured to:
judging whether the air leakage threshold T is exceeded in the sound intensity peak value group 0 If not, judging that no liquefied gas leakage event occurs, otherwise, further judging whether the sound intensity peak value group exceeds a use threshold T 1 Is a peak of sound intensity of (a);
if the use threshold T is not exceeded in the sound intensity peak value group 1 If the sound intensity threshold value of the gas storage tank is not equal to the sound intensity threshold value of the gas storage tank, judging that the liquefied gas leakage event occurs, otherwise judging that the liquefied gas storage tank is in a normal use state;
performing feature analysis and processing on the frequency domain signal to obtain a sound intensity peak value group corresponding to the inherent feature frequency group, wherein the method comprises the following steps:
performing envelope detection on the frequency domain signal to obtain an upper envelope of the frequency domain signal;
performing traversal searching on all frequency data points to locate all sound intensity peak points in the upper envelope;
determining a sound intensity peak value group corresponding to the inherent characteristic frequency group from all sound intensity peak value points;
the state judging module is used for collecting gas flow data in the liquefied gas pipe of the liquefied gas tank so as to judge the current specific use state of the liquefied gas tank according to the gas flow data;
the time domain signals of the sound data are acquired through a microphone module, and the microphone module is arranged at the outlet of the pressure reducing valve;
the cut-off frequency is set to 5kHz;
the gas flow data are acquired through a gas flow device which is arranged on the liquefied gas pipe.
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