CN115875614A - Device and method for detecting gas pipeline leakage through medium pressure disturbance signal - Google Patents
Device and method for detecting gas pipeline leakage through medium pressure disturbance signal Download PDFInfo
- Publication number
- CN115875614A CN115875614A CN202310152236.6A CN202310152236A CN115875614A CN 115875614 A CN115875614 A CN 115875614A CN 202310152236 A CN202310152236 A CN 202310152236A CN 115875614 A CN115875614 A CN 115875614A
- Authority
- CN
- China
- Prior art keywords
- signal
- psd
- medium
- pressure
- leakage
- 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
Images
Landscapes
- Examining Or Testing Airtightness (AREA)
Abstract
The invention provides a device and a method for detecting gas pipeline leakage 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, 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 gas pipe network leakage monitoring system solves the technical problems that small leakage in the existing gas pipe network cannot obtain leakage information through negative pressure wave and frequency domain analysis due to the fact that an excited fluctuation signal is weak and attenuation exists in the propagation process, and then large potential safety hazards exist. 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 a method, in particular to a device and a method for detecting gas pipeline leakage through a medium pressure disturbance signal.
Background
The medium pressure disturbance signal in the urban gas pipe network is essentially a superposed signal of a flow signal, a fluctuation signal, an audio signal, a vibration signal and the like on the medium absolute pressure, the contained information amount is very huge, but the difficulty of acquisition, stripping and analysis is higher.
For a relatively large leakage event (generally, the leakage amount is more than 100 m/h), a negative pressure wave is usually excited in a medium in a pipe network, and a leakage signal source can be positioned by analyzing the propagation time difference of the negative pressure wave.
For a general leakage event (generally referring to the leakage amount above 50 m/h and below 100 m/h), because a piston effect exists at the leakage point, the piston effect excites a fluctuation signal, the fluctuation signal is finally integrated into a one-dimensional plane wave in the process of propagating along a pipeline, and the leakage source can be found through frequency domain analysis of the signal.
However, for small leaks (generally, the amount of leaks smaller than 50 m/h), the excited fluctuation signal is very weak, and due to the attenuation problem during propagation, the leak information cannot be obtained through negative pressure wave and frequency domain analysis, which results in a great safety hazard.
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 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 pipeline network and attenuation in the transmission process, and further, the leakage information has great potential safety hazard.
Therefore, the invention provides a device for detecting gas pipeline leakage 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, 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 pressure data acquired from the medium absolute pressure sensor, processing a 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, performing fusion processing and judgment on the received information, processing the energy density signal, and judging whether abnormal energy signals exist around the measuring point or not and whether leakage inspection needs to be performed on a pipeline around the measuring point or not.
Preferably, the device for detecting gas pipeline leakage through medium pressure disturbance signals is installed in a gas pipeline network valve well, the medium absolute pressure sensors, the data processing modules and the communication modules are in one-to-one correspondence, one set is arranged at intervals, pressure data of media 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 received information of different measuring points, positioning a signal source and carrying out safety assessment on a pipeline network.
The invention also provides a method for detecting the leakage of the gas pipeline through 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: and uploading the energy density signal to a cloud server, processing the energy density signal on the cloud server, and judging whether abnormal energy signals exist around the measuring point or not and whether leakage inspection needs to be carried out on a pipeline around the measuring point or not.
Preferably, the step S1 includes: s1.1: the absolute pressure of a medium at the position of a medium absolute pressure sensor in a gas medium-pressure pipe network is sampled by gamma hertz, and an obtained absolute pressure signal is set as P i (ii) a S1.2: let the pressure disturbance signal be p i ：
And N can be selected according to the sampling frequency and the pressure change condition of the pipe network.
Preferably, said step S2, the method comprises the following steps: 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 to be E:
s2.2: obtaining an energy density signal E psd ：
Preferably, the step S3 includes: s3.1: monitoring for 24 hours E psd Value, keep M E's from small to large psd Value data, for M E psd Summing the data to obtain sigma M; s3.2: let Σ M today be Σ M Today' s Yesterday's sigma M is sigma M Yesterday Such as (∑ M) Today' s -∑M Yesterday ）/∑M Yesterday If the measured value is larger than the set threshold value beta, judging that abnormal energy signals exist around the measured point, and checking the leakage of the pipeline around the measured point; or, the centroid is obtained by using the T days data, the distance from the centroid of the cluster data is set as a, a is used as a threshold value, and the distance from sigma M to the centroid of each day is monitored, for example, the distance from sigma M to the centroid is T continuously 1 D is greater than a, wherein T>T 1 And judging that the pipeline has an abnormal noise source, and evaluating and checking the completeness of the peripheral pipeline.
Preferably, the method for locating the position of the abnormal energy signal source comprises the following steps: if the adjacent points A and B detect abnormal energy signals, the point A is set
Is E A Point B->
Is E B And if the distance between the point A and the point B is L, the distance from the leakage signal source to the point A is as follows: l × E B /（E A +E B ）。
Preferably, the step S2 is used for monitoring the medium burst after obtaining the energy density signalThe steps of generating abnormal energy signals are as follows: (1) Let E of any item psd A value of [ E psd ] i Establish 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 of the a sequence is obtained, and a = [ E ] is monitored with the maximum as a threshold psd ] i -[E psd ] i-1 If the threshold is triggered, it will 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 step S2, the step of monitoring the medium burst abnormal energy signal is as follows: (A) Let E be any psd A value of [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value of [ E ] psd ] max (ii) a (B) With [ E psd ] max For threshold value, monitor [ E psd ] i If the threshold is triggered, it will trigger [ E ] psd ] i And uploading the corresponding pressure signal Pi data to a cloud server.
Preferably, in the step S3, the cloud server pair P i Taking a mean value, taking the difference between the original data of each point and the mean 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
If there are more than one adjacent point>
Will take place first>
Locus is marked C and the second occurrence->
The location is marked as D, the two points of the CD are connected, and if the distance between the two points C and D is smaller than the set distance, an abnormal signal source is determined to exist between the two points of the CD;
the abnormal energy signal source position is shifted from the CD midpoint to the C point by L meters:
wherein:
，/>
is the first occurring->
And second occurring>
The time difference therebetween.
The invention has the beneficial effects that:
(1) According to the invention, the pressure 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, and the cloud server is used for carrying out preliminary positioning calculation on the signal source of the abnormal energy signal, so that the overall structure is simple, the energy consumption is low, and the long-term online monitoring is facilitated;
(2) The invention collects the original data through the medium absolute pressure sensor arranged in the pipeline, 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 present invention will be further described with reference to the following examples.
Example 1
As shown in fig. 1, the present invention provides a device for detecting gas pipeline leakage by using a medium pressure disturbance signal, which includes 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 inside the medium pressure gas pipeline, the medium absolute pressure sensor is connected to the data processing module, and the data processing module is connected to 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 pressure data collected by 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, performing fusion processing and judgment on the received information, processing the energy density signal, and judging whether abnormal energy signals exist around the measuring point or not and whether leakage inspection needs to be performed on a pipeline around the measuring point or not.
The device for detecting the leakage of the gas pipeline through the medium pressure disturbance signal is installed in a valve well of a gas pipeline network, the absolute pressure sensors of the medium, the data processing modules and the communication modules are in one-to-one correspondence, one set is 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 pipeline network.
Example 2
The invention also provides a method for detecting the leakage of the gas pipeline through 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: and uploading the energy density signal to a cloud server, processing the energy density signal on the cloud server, and judging whether abnormal energy signals exist around the measuring point or not and whether leakage inspection needs to be carried out on a pipeline around the measuring point or not.
Specifically, step S1 again 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 medium absolute pressure sensor at 10 HzLet the absolute pressure signal obtained be P i (ii) a 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 for 24 hours E psd Value, holding M E's from small to large psd Value data, for M E psd Summing the data to obtain sigma M; s3.2: let E M today be E M Today' s Yesterday's sigma M is sigma M Yesterday Such as (sigma M) Today's appliances -∑M Yesterday ）/∑M Yesterday If the measured value is larger than a set threshold value beta (for example, 0.2), judging that an abnormal energy signal exists around the measured point, and recommending leakage investigation on a pipeline around the measured point;
if the adjacent points A and B detect abnormal energy signals, the point A is set
Is E A Of point B
Is E B And the distance between the point A and the point B is L, the distance between the leakage signal source and the point A can be approximated as: l × E B /（E A +E B ）。
This embodiment is suitable for the case where the leakage amount is small (example)E.g. less than 50m, depending on E per day) psd The value is used to detect a line leak condition and determine the location of the leak.
Example 3
For energy density signal E psd The procedure for obtaining (1) was the same as in example 2.
For the uploaded energy density signal E psd Processing on the cloud server: (A) Monitoring for 24 hours E psd Value, holding M E's from small to large psd Value data, for M E psd Summing the data to obtain sigma M; (B) And (3) calculating the centroid by using the sigma M data of multiple days, setting the distance from the data to the centroid as a, and monitoring the distance from sigma M to the centroid every day by using a as a threshold, if the distance from sigma M to the centroid is continuously more than a for multiple days, judging that the pipeline has an abnormal noise source, and suggesting the integrity evaluation and inspection of the peripheral pipeline.
This embodiment is suitable for cases of very small leakages (for example, leakages less than 2 m/h), according to E for several days psd To detect the presence of a leak in a pipe, and the determination of the location of the leak needs to be manually sought.
Example 4
In embodiment 2, after the energy density signal is obtained in step S2, one of the following two methods may be adopted as the burst abnormal energy signal method for monitoring the medium:
the method comprises the following steps: (1) Let E of any item psd A value of [ E psd ] i Establishing 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 of the a sequence is obtained, and a = [ E ] is monitored with the maximum as a threshold psd ] i -[E psd ] i-1 If the threshold is triggered, it will 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) Let E be any psd A value of [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value of [ E ] psd ] max (ii) a (2) With [ E ] psd ] max For the threshold value, monitor [ E psd ] i If the threshold is triggered, it will trigger [ E ] psd ] i The corresponding Pi (pressure signal) data is uploaded to the cloud server.
P of trigger time interval obtained by adopting the two methods i After the (pressure signal) data is uploaded to the cloud server, the data is analyzed on the cloud server, and the steps are that P is measured i Taking a mean value, subtracting the original data of each point from the mean 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
If there are more than one adjacent point>
Will take place first->
Locus is marked C and the second occurrence->
The location is marked as D, the two points of the CD are connected, and if the distance between the two points C and D is smaller than the set distance, an abnormal signal source exists between the two points of the CD. And connecting the two points of the CD, and if the distance between the two points C and 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 position is shifted from the middle point of the CD to the C point by L meters:
wherein:
， />
is the first occurring->
And the second occurrence->
The time difference therebetween.
The embodiment is suitable for the condition that the leakage amount is large (for example, the leakage amount is more than 50 m/h), and the pipeline leakage condition can be detected in real time and the leakage position can be determined.
By monitoring the energy density signal of the pressure disturbance signal, the abnormal leakage signal can be found, the initial positioning of the leakage point is further realized through calculation, the integral structure is simple, the energy consumption is low, and the long-term online monitoring is facilitated; the monitoring index is sensitive, the problems can be quickly found and timely processed, and the potential safety hazards are reduced to a great extent.
Using the methods and procedures described above, using a program such as p i Absolute value of p i The mean value, the variance, the average amplitude, the square root amplitude, the effective value and the like are taken as reference quantities, the effects can be achieved or partially achieved, and the method belongs to the protection scope of the patent.
However, the above description is only exemplary of the present invention, and the scope of the present invention should not be limited thereby, and the replacement of the equivalent components or the equivalent changes and modifications made according to the protection scope of the present invention should be covered by the claims of the present invention.
Claims (10)
1. The device for detecting the leakage of the gas pipeline through the medium pressure disturbance signal is characterized by comprising 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 pressure data collected by 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, performing fusion processing and judgment on the received information, processing the energy density signal, and judging whether abnormal energy signals exist around the measuring point or not and whether leakage inspection needs to be performed on a pipeline around the measuring point or not.
2. The device for detecting the leakage of the gas pipeline through the medium pressure disturbance signal according to claim 1, wherein the device is installed in a valve well of a gas pipeline network, the absolute pressure sensors, the data processing modules and the communication modules correspond to one another, one set is arranged at intervals, pressure data of media 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 assessment on the pipeline network.
3. A method of detecting a leak in a gas line using the apparatus of claim 1 or 2, comprising the steps of:
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: and uploading the energy density signals to a cloud server, processing the energy density signals on the cloud server, and judging whether abnormal energy signals exist around the measuring points or not and whether leakage inspection needs to be performed on pipelines around the measuring points or not.
4. A method for detecting a gas line leak as claimed in claim 3, wherein the step S1 comprises:
s1.1: the absolute pressure of a medium at the position of a medium absolute pressure sensor in a gas medium-pressure pipe network is sampled by gamma hertz, and an obtained absolute pressure signal is set as P i ；
S1.2: let the pressure disturbance signal be p i ：
N can be selected according to sampling frequency and pipe network pressure variation.
5. A method for detecting a gas line leak as set forth in claim 3, wherein said 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 to be E:
s2.2: obtaining an energy density signal E psd ：
6. A method for detecting a gas line leak as set forth in claim 3, wherein said step S3 includes:
s3.1: monitoring for 24 hours E psd Value, holding M E's from small to large psd Value data, for M E psd Summing the data to obtain sigma M;
s3.2: let E M today be E M Today's appliances Yesterday's sigma M is sigma M Yesterday Such as (sigma M) Today's appliances -∑M Yesterday ）/∑M Yesterday If the measured value is larger than the set threshold value beta, judging that abnormal energy signals exist around the measured point, and checking the leakage of the pipeline around the measured point; or, days TCalculating the centroid, setting the distance from the data to the centroid as a, and using a as a threshold value, monitoring the distance from sigma M to the centroid every day, such as the distance of sigma M to the centroid is continuous T 1 A is greater than a, wherein T>T 1 If the abnormal noise source exists in the pipeline, the integrity of the peripheral pipeline needs to be evaluated and checked.
7. The method for detecting the leakage of the gas pipeline as claimed in claim 6, wherein the method for locating the position of the abnormal energy signal source is as follows: if the adjacent points A and B detect abnormal energy signals, the point A is set
Is E A Point B->
Is E B And if the distance between the point A and the point B is L, the distance between the leakage signal source and the point A is as follows: l × E B /（E A +E B ）。
8. The method for detecting the leakage of the gas pipeline according to claim 5, wherein after the energy density signal is obtained in the step S2, the step for monitoring the media burst abnormal energy signal is as follows:
let E of any item psd A value of [ E psd ] i Establish 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 of the a sequence is obtained, and a = [ E ] is monitored with the maximum as a threshold psd ] i -[E psd ] i-1 If the threshold is triggered, it will trigger [ E ] psd ] i Corresponding pressure signal P i And uploading the data to a cloud server.
9. The method for detecting the leakage of the gas pipeline according to the claim 5, wherein the step for monitoring the sudden abnormal energy signal of the medium after the energy density signal is obtained in the step S2 is as follows:
(A) Let E be any psd A value of [ E psd ] i After a number of days of iteration, [ E ] is obtained psd ] i Maximum value of [ E ] psd ] max ；
(B) With [ E ] psd ] max For the threshold value, monitor [ E psd ] i If the threshold is triggered, it will trigger [ E ] psd ] i And uploading the corresponding pressure signal Pi data to a cloud server.
10. The method for detecting gas pipeline leakage according to claim 8 or 9, wherein in step S3, in the cloud server pair P i Taking a mean value, taking the difference between the original data of each point and the mean 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 a plurality of adjacent points take place in a plurality of->
Will take place first>
Locus is marked C and the second occurrence->
The location is marked as D, the two points of the CD are connected, and if the distance between the two points C and D is smaller than the set distance, an abnormal signal source exists between the two points of the CD;
the abnormal energy signal source position is shifted from the middle point of the CD to the C point by L meters:
wherein:
，/>
is the first occurring->
And second occurring>
The time difference therebetween. />
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310152236.6A CN115875614B (en) | 2023-02-23 | 2023-02-23 | Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310152236.6A CN115875614B (en) | 2023-02-23 | 2023-02-23 | Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115875614A true CN115875614A (en) | 2023-03-31 |
| CN115875614B CN115875614B (en) | 2023-06-06 |
Family
ID=85761566
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310152236.6A Active CN115875614B (en) | 2023-02-23 | 2023-02-23 | Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115875614B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6167749B1 (en) * | 1997-09-17 | 2001-01-02 | Yamaha Corporation | Method and apparatus for automatically detecting gas leak, and recording medium for leak detection |
| CN104919295A (en) * | 2012-12-11 | 2015-09-16 | 管道监控公司 | System and method for supervising, managing, and monitoring the structural integrity of a fluid- transportation pipeline network, for locating the leaking point, and for evaluating the extent of the failure |
| CN106594529A (en) * | 2017-01-20 | 2017-04-26 | 合肥工业大学 | Leakage signal propagation speed measurement method based on short-time energy and linear fitting |
| US20170131174A1 (en) * | 2015-11-10 | 2017-05-11 | Belkin International, Inc. | Water leak detection using pressure sensing |
| CN109442221A (en) * | 2018-11-21 | 2019-03-08 | 同济大学 | A kind of water supply network booster method for detecting extracted based on pressure disturbance |
| CN111271610A (en) * | 2020-04-08 | 2020-06-12 | 陕西理工大学 | Liquid pipeline leakage detection early warning device and method |
| CN113048404A (en) * | 2021-03-12 | 2021-06-29 | 常州大学 | Urban gas pipeline tiny leakage diagnosis method |
| US20220069324A1 (en) * | 2018-12-20 | 2022-03-03 | Hps Home Power Solutions Gmbh | Energy system and method for line pressure monitoring |
| CN114323412A (en) * | 2021-12-29 | 2022-04-12 | 杭州电子科技大学 | Method for detecting pressure disturbance event of water supply pipe network |
| CN114580129A (en) * | 2022-04-15 | 2022-06-03 | 东莞市横沥兴华管道燃气有限公司 | Method for performing dynamic simulation on gas pipe network based on pressure sampling data |
| CN114878108A (en) * | 2022-07-08 | 2022-08-09 | 山东拙诚智能科技有限公司 | Gas flow monitoring method and device |
-
2023
- 2023-02-23 CN CN202310152236.6A patent/CN115875614B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6167749B1 (en) * | 1997-09-17 | 2001-01-02 | Yamaha Corporation | Method and apparatus for automatically detecting gas leak, and recording medium for leak detection |
| CN104919295A (en) * | 2012-12-11 | 2015-09-16 | 管道监控公司 | System and method for supervising, managing, and monitoring the structural integrity of a fluid- transportation pipeline network, for locating the leaking point, and for evaluating the extent of the failure |
| US20170131174A1 (en) * | 2015-11-10 | 2017-05-11 | Belkin International, Inc. | Water leak detection using pressure sensing |
| CN106594529A (en) * | 2017-01-20 | 2017-04-26 | 合肥工业大学 | Leakage signal propagation speed measurement method based on short-time energy and linear fitting |
| CN109442221A (en) * | 2018-11-21 | 2019-03-08 | 同济大学 | A kind of water supply network booster method for detecting extracted based on pressure disturbance |
| US20220069324A1 (en) * | 2018-12-20 | 2022-03-03 | Hps Home Power Solutions Gmbh | Energy system and method for line pressure monitoring |
| CN111271610A (en) * | 2020-04-08 | 2020-06-12 | 陕西理工大学 | Liquid pipeline leakage detection early warning device and method |
| CN113048404A (en) * | 2021-03-12 | 2021-06-29 | 常州大学 | Urban gas pipeline tiny leakage diagnosis method |
| CN114323412A (en) * | 2021-12-29 | 2022-04-12 | 杭州电子科技大学 | Method for detecting pressure disturbance event of water supply pipe network |
| CN114580129A (en) * | 2022-04-15 | 2022-06-03 | 东莞市横沥兴华管道燃气有限公司 | Method for performing dynamic simulation on gas pipe network based on pressure sampling data |
| CN114878108A (en) * | 2022-07-08 | 2022-08-09 | 山东拙诚智能科技有限公司 | Gas flow monitoring method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115875614B (en) | 2023-06-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2208039B1 (en) | Method and system for registering and measuring leaks and flows | |
| CN101832472B (en) | System implementing pipeline leak detection by utilizing infrasonic wave | |
| CN103939749B (en) | Flow circuits based on big data leakage intelligent adaptive monitoring system and method | |
| KR100426227B1 (en) | Methods, devices and systems for identifying subjects | |
| CN106352243A (en) | Gas transmission pipeline leakage detection system based on acoustic method | |
| CN112097126B (en) | Water supply network pipe burst pipeline accurate identification method based on deep neural network | |
| CN112377817B (en) | Municipal pipe network pipe burst monitoring system and method | |
| Xue et al. | Application of acoustic intelligent leak detection in an urban water supply pipe network | |
| CN111695465B (en) | Pipe network fault diagnosis and positioning method and system based on pressure wave mode identification | |
| CN111879479B (en) | Micro-leakage signal monitoring system and method for non-Gaussian noise environment of gas collecting and conveying pipeline | |
| JPH0484754A (en) | Method for evaluating soundness of material | |
| CN115875614B (en) | Device and method for detecting leakage of gas pipeline through medium pressure disturbance signal | |
| CN116026449B (en) | Vibration positioning monitoring system based on single-core optical fiber sensing | |
| US6813588B1 (en) | Control system and method for detecting plugging in differential pressure cells | |
| CN115479219B (en) | Intelligent pipeline state monitoring method, monitoring device and intelligent pipeline system | |
| CN113227642A (en) | Method for detecting a leak in a gas network under pressure or vacuum, and gas network | |
| CN112182959A (en) | Leakage detection method for water distribution pipe network | |
| CN116221626A (en) | Heating power pipeline leakage detection positioning method and system based on mathematical model | |
| CN115076619A (en) | Gas pipeline ball valve internal leakage detection system based on acoustic emission technology | |
| Riahi et al. | Differentiation of leakage and corrosion signals in acoustic emission testing of aboveground storage tank floors with artificial neural networks | |
| CN110617403B (en) | Long-distance pipeline leakage detection method based on multi-sensor information fusion | |
| CN112178360A (en) | System and method for rapidly positioning infrasonic pipeline robot | |
| KR102568086B1 (en) | Apparatus and Method for Detecting Leak of Pipe | |
| KR102584912B1 (en) | Apparatus and Method for Detecting Wall-thining of Pipe | |
| Singh et al. | iPipe: water pipeline monitoring and leakage detection |
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 |