CN115875614B - Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal - Google Patents
Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal Download PDFInfo
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Abstract
The invention provides a device and a method for detecting leakage of a gas pipeline through a medium pressure disturbance signal, wherein the device comprises a medium pressure gas pipeline, a medium absolute pressure sensor, a data processing module, a communication module and a cloud server, wherein the medium absolute pressure sensor is arranged in the medium pressure gas pipeline and is connected with the data processing module, and the data processing module is connected with the cloud server through the communication module; the method solves the technical problems that the leakage information cannot be obtained through negative pressure wave and frequency domain analysis due to weak fluctuation signals excited by the small leakage in the existing gas pipe network and attenuation in the propagation process, so that the potential safety hazard is large. The invention can be widely applied to the technical field of safety monitoring of gas pipe networks.
Description
Technical Field
The invention relates to a gas pipe network monitoring device and method, in particular to a device and method for detecting leakage of a gas pipe through a medium pressure disturbance signal.
Background
The medium pressure disturbance signals in the urban gas pipe network are superposition signals of flow signals, fluctuation signals, audio signals, vibration signals and the like on the absolute pressure of the medium, and the contained information is huge, but the acquisition, stripping and analysis difficulties are large.
For larger leakage events (usually referring to leakage of more than 100 m/h), negative pressure waves are usually excited in a medium in a pipe network, and a leakage signal source can be positioned by analyzing propagation time differences of the negative pressure waves.
For general leakage events (usually referring to leakage amounts of more than 50 m/h and less than 100 m/h), the piston effect is generated at the leakage point, so that the wave signal is integrated into one-dimensional plane waves in the process of propagating along the pipeline, and the leakage source can be found by carrying out frequency domain analysis on the signal.
However, for smaller leakage (usually, the leakage amount is smaller than 50 m/h), the fluctuation signal excited by the leakage is weak, and the leakage information cannot be obtained through negative pressure wave and frequency domain analysis due to attenuation problem in the propagation process, so that a large potential safety hazard exists.
Disclosure of Invention
The invention provides a device and a method for detecting leakage of a gas pipeline through a medium pressure disturbance signal, aiming at the technical problems that leakage information cannot be obtained through negative pressure wave and frequency domain analysis due to weak fluctuation signals excited by small leakage in the existing gas pipeline network and attenuation in the propagation process, and further a large potential safety hazard exists.
The invention provides a device for detecting leakage of a gas pipeline through a medium pressure disturbance signal, which comprises a medium pressure gas pipeline, a medium absolute pressure sensor, a data processing module, a communication module and a cloud server, wherein the medium absolute pressure sensor is arranged in the medium pressure gas pipeline and is connected with the data processing module, and the data processing module is connected with the cloud server through the communication module; the medium absolute pressure sensor is used for monitoring the absolute pressure of a medium in the medium-pressure gas pipeline; the data processing module is used for processing the collected pressure data from the medium absolute pressure sensor, processing the pressure signal into a pressure disturbance signal and processing the pressure disturbance signal into an energy density signal; the communication module is used for uploading the data processed by the data processing module to the cloud server; the cloud server is used for receiving the information, carrying out fusion processing and judgment on the received information, processing the energy density signal, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not.
Preferably, the device for detecting leakage of the gas pipeline through the medium pressure disturbance signal is arranged in a valve well of the gas pipeline, the medium absolute pressure sensor, the data processing module and the communication module are in one-to-one correspondence, one set of medium absolute pressure sensor, one set of data processing module and one set of medium absolute pressure sensor are arranged at intervals, pressure data of the medium are collected and processed in different valve wells, the data are uploaded to the cloud server through the corresponding communication modules, and the cloud server is used for fusing and judging the received information of different measuring points, positioning the signal source and carrying out safety evaluation on the pipeline.
The invention also provides a method for detecting leakage of the gas pipeline by the medium pressure disturbance signal, which comprises the following steps: s1: processing the pressure signal into a pressure disturbance signal by a data processing module; s2: processing the pressure disturbance signal into an energy density signal by a data processing module; s3: uploading the energy density signal to a cloud server, processing the energy density signal on the cloud server, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not.
Preferably, the step S1 includes: s1.1: the absolute pressure sensor of the medium in the medium-pressure gas pipe network samples the absolute pressure of the medium at the position of the medium absolute pressure sensor by gamma hertz, and the absolute pressure signal obtained is P i The method comprises the steps of carrying out a first treatment on the surface of the S1.2: let the pressure disturbance signal be p i ：
N can be valued according to the sampling frequency and the pressure change condition of the pipe network.
Preferably, the step S2 includes: s2.1: obtaining an energy signal: based on the pressure disturbance signal p i Taking a fixed-length window, setting n data in the window, and setting the total energy in the window as E:
s2.2: obtaining an energy density signal E psd ：
Preferably, the step S3 includes: s3.1: e for 24 hours of monitoring psd The value is kept M E's from small to large psd Value data for M E psd Summing the data to obtain sigma M; s3.2: let today's sigma M be sigma M Today Yesterday's Sigma M is Sigma M Yesterday Such as (sigma M) Today -∑M Yesterday ）/∑M Yesterday When the detected energy signal is larger than a set threshold value beta, judging that an abnormal energy signal exists around the detected point, and checking leakage of pipelines around the detected point is needed; alternatively, T days of data are used to calculate the centroid, the distance from the outlier data to the centroid is set as a, and the distance from the centroid of sigma M of each day is monitored by taking a as a threshold, such as the continuous T of the distance from sigma M to the centroid 1 The day is greater than a, wherein T>T 1 Judging that the pipeline has an abnormal noise source, and carrying out completeness evaluation and inspection on the peripheral pipeline.
Preferably, the method for locating the position of the abnormal energy signal source comprises the following steps: if adjacent points A and B detect abnormal energy signals, setting point A
For E A ?>
For E B The distance between the two points A, B is L, and the distance between the leakage signal source and the point A is: L×E B /（E A +E B ）。
Preferably, after the energy density signal is obtained in the step S2, the step for monitoring the medium burst abnormal energy signal is as follows: (1) E of any item psd The value is [ E psd ] i Build a= [ E psd ] i -[E psd ] i-1 Obtaining a sequence A, and reserving the maximum value of the sequence A; (2) After a number of days of iteration, the maximum value of the a sequence is obtained, and a= [ E ] is monitored with the maximum value as a threshold value psd ] i -[E psd ] i-1 If the trigger threshold, the time of trigger [ E psd ] i Corresponding pressure signal P i And uploading the data to a cloud server.
Preferably, after the energy density signal is obtained in the step S2, the step for monitoring the medium burst abnormal energy signal is as follows: (A) E of any item psd The value is [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value [ E ] psd ] max The method comprises the steps of carrying out a first treatment on the surface of the (B) In [ E ] psd ] max For threshold value, monitor [ E psd ] i If the trigger threshold, the time of trigger [ E psd ] i And uploading the corresponding pressure signal Pi data to a cloud server.
Preferably, in the step S3, in the cloud server pair P i Taking the average value, taking the difference between the original data of each point and the average value, forming a disturbance signal waveform by the difference value, and setting the time point corresponding to the minimum value of the disturbance signal waveform as
Let adjacent dots generate multiple +.>
Will happen +.>
The locus is marked C, the second occurrence +.>
The location mark is D, two points of the CD are connected, if the distance between the two points of the CD is smaller than the set distance, the abnormal signal source exists between the two points of the CD;
the abnormal energy signal source location is offset from the midpoint of the CD toward point C by L meters:
wherein:
，
for the first occurrence +.>
And second occurrence->
Time differences between them.
The invention has the beneficial effects that:
(1) According to the invention, the pressure disturbance signal of the medium is obtained by monitoring the pressure signal of the medium, the energy density of the pressure disturbance signal is monitored, the abnormal energy signal generated on the pipe network can be found in time, the signal source of the abnormal energy signal is subjected to preliminary positioning calculation through the cloud server, the whole structure is simple, the energy consumption is low, and the long-term online monitoring is convenient;
(2) According to the invention, the medium absolute pressure sensor arranged in the pipeline is used for collecting the original data, the monitoring index is sensitive, and the completeness analysis and detection of the pipe network can be realized through the established mathematical evaluation model.
Drawings
Fig. 1 is a schematic structural view of embodiment 1 of the present invention.
Detailed Description
The invention is further described below with reference to examples.
Example 1
As shown in fig. 1, the invention provides a device for detecting leakage of a gas pipeline by a medium pressure disturbance signal, which comprises a medium pressure gas pipeline, a medium absolute pressure sensor, a data processing module, a communication module and a cloud server, wherein the medium absolute pressure sensor is arranged in the medium pressure gas pipeline, the medium absolute pressure sensor is connected with the data processing module, and the data processing module is connected with the cloud server through the communication module; the medium absolute pressure sensor is used for monitoring the absolute pressure of a medium in the medium-pressure gas pipeline; the data processing module is used for processing the collected pressure data from the medium absolute pressure sensor, processing the pressure signal into a pressure disturbance signal and processing the pressure disturbance signal into an energy density signal; the communication module is used for uploading the data processed by the data processing module to the cloud server; the cloud server is used for receiving the information, carrying out fusion processing and judgment on the received information, processing the energy density signal, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not.
The device for detecting leakage of the gas pipeline through the medium pressure disturbance signal is arranged in a valve well of a gas pipe network, the medium absolute pressure sensor, the data processing module and the communication module are in one-to-one correspondence, one set of medium absolute pressure sensor, one set of data processing module and one set of communication module are arranged at intervals, pressure data of the medium are collected and processed in different valve wells, the data are uploaded to the cloud server through the corresponding communication modules, and the cloud server is used for fusing and judging the received information of different measuring points, positioning a signal source and carrying out safety evaluation on the pipe network.
Example 2
The invention also provides a method for detecting leakage of the gas pipeline by the medium pressure disturbance signal, which comprises the following steps: s1: processing the pressure signal into a pressure disturbance signal by a data processing module: s2: processing the pressure disturbance signal into an energy density signal by a data processing module: s3: uploading the energy density signal to a cloud server, processing the energy density signal on the cloud server, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not.
Specifically, step S1 further includes: s1.1, a medium absolute pressure sensor in a gas medium-pressure pipe network samples the pressure of a medium at the position of the sensor by 10 Hz, and an absolute pressure signal is obtained as P i The method comprises the steps of carrying out a first treatment on the surface of the S1.2, extracting a pressure disturbance signal from the pressure signal, and setting the pressure disturbance signal as p i ：
Specifically, step S2 further includes: s2.1: obtaining an energy signal: based on the pressure disturbance signal p i Taking a fixed-length window, setting 600 data in the window, wherein the total energy E in the window is as follows:
Specifically, step S3 further includes: for energy density signal E psd Uploading to a cloud server, and processing on the cloud server:
s3.1 monitoring E for 24 hours psd The value is kept M E's from small to large psd Value data for M E psd Summing the data to obtain sigma M; s3.2: let today's sigma M be sigma M Today Yesterday's Sigma M is Sigma M Yesterday Such as (sigma M) Today -∑M Yesterday ）/∑M Yesterday If the detected energy signal is larger than a set threshold value beta (for example, 0.2), judging that an abnormal energy signal exists around the detected point, and suggesting to perform leakage detection on the pipeline around the detected point;
if adjacent points A and B detect abnormal energy signals, setting point A
For E A Point B
For E B The distance between the two points A, B is L, and the distance between the leakage signal source and the point a can be approximately: L×E B /（E A +E B ）。
The present embodiment is applicable to the case where the leakage amount is small (for example, the leakage amount is less than 50 mN/h) according to E per day psd Values are used to detect pipe leaks and to determine leak locations.
Example 3
For energy density signal E psd The procedure of example 2 was followed.
For the uploaded energy density signal E psd Processing on a cloud server: (A) E for 24 hours of monitoring psd The value is kept M E's from small to large psd Value data for M E psd Summing the data to obtain sigma M; (B) Calculating centroid by using multiple days sigma M data, and monitoring with distance a of outlier data from centroid as threshold valueAnd judging that an abnormal noise source exists in the pipeline according to the distance from the sigma M to the centroid of each day, if the distance from the sigma M to the centroid is more than a for a plurality of continuous days, and suggesting to evaluate and check the completeness of the peripheral pipeline.
The present embodiment is applicable to the case where the leakage amount is extremely small (for example, less than 2 m/h leakage amount) according to E for a plurality of days psd Values to detect if a leak exists in the pipe and the determination of the location of the leak needs to be found manually.
Example 4
In embodiment 2, after the energy density signal is obtained in the step S2, one of the following two methods may be adopted to monitor the burst abnormal energy signal of the medium:
the method comprises the following steps: (1) E of any item psd The value is [ E psd ] i Build a= [ E psd ] i -[E psd ] i-1 Obtaining a sequence A, and reserving the maximum value of the sequence A; (2) After a number of days of iteration, the maximum value of the a sequence is obtained, and a= [ E ] is monitored with the maximum value as a threshold value psd ] i -[E psd ] i-1 If the trigger threshold, the time of trigger [ E psd ] i Corresponding P i The (pressure signal) data is uploaded to the cloud server.
The second method comprises the following steps: (1) E of any item psd The value is [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value [ E ] psd ] max The method comprises the steps of carrying out a first treatment on the surface of the (2) In [ E ] psd ] max For threshold value, monitor [ E psd ] i If the trigger threshold, the time of trigger [ E psd ] i And uploading the corresponding Pi (pressure signal) data to a cloud server.
P of trigger period obtained by the two methods i After the (pressure signal) data is uploaded to the cloud server, the cloud server is analyzed, and the steps are that P is i Taking the average value, wherein the original data of each point is different from the average value, the difference value forms a disturbance signal waveform, and the time point corresponding to the minimum value of the disturbance signal waveform is set as
Let adjacent dots generate multiple +.>
Will occur first +.>
The locus is marked C, the second occurrence +.>
And the location mark is D, and if the distance between two points of the CD is smaller than the set distance, judging that an abnormal signal source exists between the two points of the CD. And connecting the two points of the CD, if the distance between the two points of C, D is smaller than the set distance, judging that an abnormal energy signal exists between the two points of the CD.
The abnormal energy signal source location is offset from the midpoint of the CD toward point C by L meters:
wherein:
，
for the first occurrence +.>
And second occurrence->
Time differences between them.
The embodiment is suitable for the case of large leakage (for example, leakage of more than 50 m/h), and can detect the leakage of the pipeline in real time and determine the leakage position.
By monitoring the energy density signal of the pressure disturbance signal, the abnormal leakage signal can be found, the preliminary positioning of the leakage point is further realized through calculation, the whole structure is simple, the energy consumption is low, and the long-term online monitoring is convenient; the monitoring index is sensitive, so that the problems can be quickly found and timely processed, and the potential safety hazard is greatly reduced.
Using the methods and processes described above, p is used, for example i Absolute value of p i The mean value, variance, average amplitude, square root amplitude, effective value and the like of the formula are taken as reference values, and the effects can be achieved or partially achieved, which belong to the protection scope of the patent.
However, the foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, so that the substitution of equivalent elements or equivalent variations and modifications within the scope of the invention are intended to fall within the scope of the claims.
Claims (6)
1. The method for detecting the leakage of the gas pipeline is characterized by comprising a device for detecting the leakage of the gas pipeline through a medium pressure disturbance signal, and the device comprises a medium pressure gas pipeline, a medium absolute pressure sensor, a data processing module, a communication module and a cloud server, wherein the medium absolute pressure sensor is arranged in the medium pressure gas pipeline and is connected with the data processing module, the data processing module is connected with the cloud server through the communication module, and the medium absolute pressure sensor is used for monitoring the absolute pressure of a medium in the medium pressure gas pipeline; the data processing module is used for processing the collected pressure data from the medium absolute pressure sensor, processing the pressure signal into a pressure disturbance signal and processing the pressure disturbance signal into an energy density signal; the communication module is used for uploading the data processed by the data processing module to the cloud server; the cloud server is used for receiving the information, carrying out fusion processing and judgment on the received information, processing the energy density signal, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not; the method comprises the following steps:
s1: the data processing module processes the pressure signal into a pressure disturbance signal, specifically:
s1.1: burningMedium absolute pressure sensor in air medium pressure pipe network
Sampling the absolute pressure of the medium at the position of the sample by using the hertz, and setting the obtained absolute pressure signal as P i ；
S1.2: let the pressure disturbance signal be p i ：
p i =P i -
i ，
N can take value according to sampling frequency and the pressure change condition of the pipe network;
s2: the data processing module processes the pressure disturbance signal into an energy density signal, specifically:
s2.1: obtaining an energy signal: based on the pressure disturbance signal p i Taking a fixed-length window, setting n data in the window, and setting the total energy in the window as E:
E=
i | 2 ；
s2.2: obtaining an energy density signal E psd ：
E psd =
；
S3: uploading the energy density signal to a cloud server, processing the energy density signal on the cloud server, judging whether an abnormal energy signal exists around the measuring point or not, and judging whether leakage detection is needed to be carried out on pipelines around the measuring point or not.
2. The method for detecting gas line leakage according to claim 1, wherein said step S3 comprises:
s3.1: e for 24 hours of monitoring psd The value is kept M E's from small to large psd Value data for M E psd Summing the data to obtain sigma M;
s3.2: let today's sigma M be sigma M Today Yesterday's Sigma M is Sigma M Yesterday Such as (sigma M) Today -∑M Yesterday ）/∑M Yesterday Greater than a set threshold
Judging that abnormal energy signals exist around the measuring point, and checking leakage of pipelines around the measuring point; or,
using T days to calculate centroid, setting distance from outlier data to centroid as a, and monitoring distance from sigma M to centroid every day, such as continuous T 1 The day is greater than a, wherein T>T 1 Judging that the pipeline has an abnormal noise source, and carrying out completeness evaluation and inspection on the peripheral pipeline.
3. The method of detecting a gas line leak of claim 2, wherein the method of locating the location of the source of abnormal energy signal is: if adjacent points A and B detect abnormal energy signals, setting point A
Today -
Yesterday For E A ?>
Today -
Yesterday For E B The distance between the two points A, B is L, and the distance between the leakage signal source and the point A is: L.times.E B /（E A +E B ）。/>
4. The method for detecting leakage of gas pipeline according to claim 1, wherein after the step S2 obtains the energy density signal, the step for monitoring the medium burst abnormal energy signal is as follows:
e of any item psd The value is [ E psd ] i Build a= [ E psd ] i -[E psd ] i-1 Obtaining a sequence A, and reserving the maximum value of the sequence A;
after a number of days of iteration, the maximum value of the a sequence is obtained, and a= [ E ] is monitored with the maximum value as a threshold value psd ] i -[E psd ] i-1 If the trigger threshold, the time of trigger [ E psd ] i Corresponding pressure signal P i And uploading the data to a cloud server.
5. The method for detecting leakage of gas pipeline according to claim 1, wherein after the step S2 obtains the energy density signal, the step for monitoring the medium burst abnormal energy signal is as follows:
(A) E of any item psd The value is [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value [ E ] psd ] max ；
(B) In [ E ] psd ] max For threshold value, monitor [ E psd ] i If the trigger threshold, the time of trigger [ E psd ] i And uploading the corresponding pressure signal Pi data to a cloud server.
6. The method for detecting leakage of gas pipeline according to claim 4 or 5, wherein in step S3, the cloud server pair P i Taking an average value, taking the difference between the original data of each point and the average value, forming a disturbance signal waveform by the difference value, and setting a time point corresponding to the minimum value of the disturbance signal waveform as t Special purpose Let adjacent points generate multiple t Special purpose Will occur first t Special purpose The locus is marked as C, the second occurrence t Special purpose The location mark is D, two points of the CD are connected, if the distance between the two points of the CD is smaller than the set distance, the abnormal signal source exists between the two points of the CD;
the abnormal energy signal source location is offset from the midpoint of the CD toward point C by L meters:
L=
wherein:
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