CN108488637A - A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle - Google Patents
A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle Download PDFInfo
- Publication number
- CN108488637A CN108488637A CN201810240175.8A CN201810240175A CN108488637A CN 108488637 A CN108488637 A CN 108488637A CN 201810240175 A CN201810240175 A CN 201810240175A CN 108488637 A CN108488637 A CN 108488637A
- Authority
- CN
- China
- Prior art keywords
- signal
- water supply
- groups
- auto
- entropy
- 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.)
- Pending
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
- G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
- G01M3/243—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations for pipes
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The present invention provides a kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle, belongs to water supply network leakage detection and localization technical field.Present invention collected sound signal first above the embedded medium of the doubtful leak source of pipeline, collected signal is as echo signal；Simultaneously ambient noise signal is acquired under same environmental background；Then low-pass filtering is carried out to collected two groups of signals；Then autocorrelation analysis is carried out, auto-correlation function value is calculated separately out；It using auto-correlation function value as the sequence of calculation of approximate entropy, calculates over time, the size and situation of change of two groups of signal approximation entropy；The fluctuation for quantifying two groups of signals with the variance of approximate entropy respectively finally compares the variance of two groups of signal approximation entropy to judge whether the doubtful leak source of water supply line leaks.The present invention solves the problems, such as that existing water supply line leak hunting technology use scope is limited, accuracy rate is not high.The present invention can be used for water supply network leak detection.
Description
Technical field
The present invention relates to water supply lines to leak discrimination method, belongs to water supply network leakage detection and localization technical field.
Background technology
Water supply network leakage is a global problem.According to statistics, the average leakage of more than 600 a public supply mains of China
Loss rate (pipe network model rate be pipe network water leakage amount with for the ratio between water inventory) is more than 15%, and up to 70% or more, National urban confession
Water year nearly 100 billion cubic meter of ullage.In view of limited water resource and resident living cost, pipe leakage just becomes in water supply line
Main problem.The reason of pipe network leakage occurs has very much, as pipe main body is damaged, pipeline junction is damaged, conduit fittings leakage
Water etc..Reduce pipe network leakage, it is necessary to the position and size that leakage occurs are detected, to be handled accordingly.
The active leakage monitoring method of mainstream is had method based on flow monitoring and is monitored based on acoustic vibration signal at present
Two kinds of method.
Leakage monitoring method based on flow monitoring：
Flowmeter is installed into leak detection target area with extraneous one of connect on valve, and closing in addition to this its
Its all valve, then at dead of night water consumption minimum when, so that it may to judge that whether there is or not leakages in the region by flowmeter.If
Have, then regional extent is further reduced by closing valve, until being contracted to pipeline section range.If field condition does not allow only to open
A valve is opened, then can stay a water inlet and a water outlet, and flowmeter is installed at two at this.Pass through two flowmeters
And the reading of intra-cell users water meter judges that whether there is or not leakages in the region.
The shortcomings that method based on flow monitoring, is then that the method by gradually reducing detection zone can be looked for finally
To the position of leakage points and the size of wastage, but this method, working strength are very big, it is often necessary to it carries out at dead of night,
And some valves are continually opened and closed in a region, flow in pipeline can be caused frequently to change, so that pipe scale is fallen off, band
Carry out water quality progression risk.
Method based on acoustic vibration signal monitoring：
It is the main of current Running-water Company's use to carry out water supply network leakage detection and localization using acoustic vibration signal
Means.In the presence of pipe network leakage, due to the friction of flow and tube wall, acoustic vibration signal is will produce, is based on acoustic vibration signal
The method of monitoring is that pipe network leakage is found by the monitorings of these acoustic signals.This method is also known as audition leak detection
Method is one kind of active leak detecting, refers to finding the side of leakage in such a way that worker or instrument carry out " auscultation " to pipeline
Method.This method is initially worker by the way that clave will be listened to be connected to pipeline structures (gate valve, fire hydrant etc.) or pipeline overhead surface
On listen to water flow in pipeline sound.Experienced worker can determine whether leakage, and leakage according to the sound heard
The Position Approximate of mistake.Obvious this method proposes very high requirement to the ability and experience of worker, and less efficient.With
There is the acoustic vibration letter that can capture and acquire the different frequency of pipeline leak source generation automatically in the gradually development of science and technology
Number, corresponding pipeline is then judged by built-in program whether there is or not the leakage detecting instrument of leakage, the appearance of leakage detecting instrument carries significantly
The high efficiency of audition leak detecting.
But actual environment is usually very complicated or even severe, leakage detecting instrument needs also are detected with tube contacts；
This so that leakage detecting instrument use scope is limited, accuracy of measurement is impacted；The acquisition of leak source acoustic vibration signal simultaneously is often
Along with complex environment noise, existing method is unable to accurate recognition and goes out vibration signal and ambient noise when leaking, to leakage
When being recognized, often more technical experiences by leak detection worker, cause accuracy rate not high.Therefore, how by being adopted
It is urgent problem that whether the echo signal collected, which accurately picks out pipeline and leak,.
Invention content
The present invention is to solve the problems, such as that existing water supply line leak hunting technology use scope is limited, accuracy rate is not high, is provided
A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle.
A kind of water supply line based on auto-correlation and approximate Entropy principle of the present invention leaks discrimination method, passes through following skill
Art scheme is realized：
Step 1: the collected sound signal above the embedded medium of the doubtful leak source of pipeline, collected signal is as mesh
Mark signal；Simultaneously ambient noise signal is acquired under same environmental background；Low-pass filtering is carried out to collected two groups of signals, is protected
Stay the low-frequency range in two groups of signals；
Step 2: to two groups of signals after low-pass filtering in step 1, autocorrelation analysis is carried out, auto-correlation is calculated separately out
Functional value；
Step 3: using auto-correlation function value as the sequence of calculation of approximate entropy, calculate over time, two groups of letters
The size and situation of change of number approximate entropy；Quantify the fluctuation of two groups of signals, target with the variance of approximate entropy respectively
The variance of signal approximation entropy is S1, the variance of ambient noise signal approximation entropy is S2；
Step 4: comparing the variance of two groups of signal approximation entropy to judge whether the doubtful leak source of water supply line leaks.
Further, the specific method judged in step 4 is：
Work as S2/S1When ＞ 50, that is, judge that the doubtful leak source of pipeline is leaked.
Present invention feature the most prominent and significant advantageous effect are：
The present invention using auto-correlation function can characterize time series different moments value relation of interdependence principle,
The heterogeneity of echo signal and noise signal is quantified and distinguished, and the situation of change of entropy can in time series
With the stability and Sustainable type of reaction signal, preferably vibration signal when revealing can be distinguished with noise signal.
The outer vibration source of pipe that the method for the present invention causes for flow leakage, is not influenced, applicability is more by caliber, tubing etc.
Extensively；And can substantially reduce in leak detection work to the dependence for worker's experience of hunting leak, improve leak detection efficiency；And improve pipe
The accuracy rate of road leakage identification can reach 99% accuracy rate in emulation experiment.
Description of the drawings
Fig. 1 is leak source voice signal analysis chart；Wherein, 1. leak source, 2. water pipes, 3. embedded media, 4. stones and the grains of sand；
Fig. 2 is flow chart of the present invention；
Fig. 3 is echo signal of the present invention and ambient noise signal approximate entropy comparison diagram；
Fig. 4 is the echo signal of doubtful leak source and ambient noise signal approximate entropy comparison diagram in the present embodiment；
Fig. 5 is the result figure after leak source excavation in the present embodiment.
Specific implementation mode
Specific implementation mode one：Present embodiment is illustrated in conjunction with Fig. 1, Fig. 2, Fig. 3, present embodiment provide one
Water supply line of the kind based on auto-correlation and approximate Entropy principle leaks discrimination method, specifically includes following steps：
Step 1: the collected sound signal above the embedded medium of the doubtful leak source of pipeline, collected signal is as mesh
Mark signal；Simultaneously ambient noise signal is acquired under same environmental background；Echo signal and the back of the body are acquired under same environment simultaneously
Scape noise signal, echo signal acquire above the embedded medium of doubtful leak source, and sound collection equipment can need not be with pipe
The even embedded media contact in road, applicability is wider, and ambient noise signal is remotely acquired apart from doubtful leak source；Voice signal
Acquisition can use sound transducer etc.；Low-pass filtering is carried out to collected two groups of signals, retaining low-frequency range therein, (pipe is outer
The signal that vibration source generates), low-frequency range (LF) refers to that frequency range is 20kHz~400kHz；
As shown in Figure 1, the acquisition of leak source signal is usually associated with complex environment noise, it is high when pipeline leaks
Medium (soil, the sandstone etc. that are used for buried pipeline) is buried around pressure water impact will produce vibration, under the action of flow, week
It encloses and will produce strike note between stone, the grains of sand；And the natural frequency of vibration of this one kind vibration is often relatively low, is distributed in a relatively narrow frequency
It in section, and will not be influenced by factors such as pipe material, calibers, other positions when this partial vibration signal occurs with leakage
Vibration signal difference is more apparent, and suitable filtering parameter can be arranged, be filtered to signal, to extract this part
Signal.
Step 2: to two groups of signals after low-pass filtering in step 1, autocorrelation analysis is carried out, auto-correlation is calculated separately out
Functional value；
Vibration signal when leakage is very different in nature with ambient noise signal, and vibration when for leakage is believed
For number, during signal acquisition, it is existing for stable continue, and signal, which is from first to last stablized, runs through entire acquisition time
Section, and ambient noise signal is quite different, it has that frequency is unstable, energy is unstable, the duration is unknown and sudden etc.
Feature.Since auto-correlation function can characterize time series in the relation of interdependence of different moments value, can utilize
Autocorrelation principle will be quantified and be distinguished to the heterogeneity of above-mentioned echo signal and ambient noise signal.
Step 3: using auto-correlation function value as the sequence of calculation of approximate entropy, calculate over time, two groups of letters
The size and situation of change of number approximate entropy；Quantify fluctuation (such as Fig. 3 of two groups of signals with the variance of approximate entropy respectively
It is shown), the variance of echo signal approximation entropy is S1, the variance of ambient noise signal approximation entropy is S2；
Approximate entropy describes the size for the possibility that new model is generated when dimension variation, contains the information of temporal mode,
Can fully describe signal complexity, and in time series entropy situation of change can with the stability of reaction signal with can hold
Vibration signal when leaking can be preferably distinguished by ideotype with ambient noise signal.
Step 4: comparing the variance of two groups of signal approximation entropy to judge whether the doubtful leak source of water supply line leaks.
Specific implementation mode two：The present embodiment is different from the first embodiment in that is judged in step 4 is specific
Method is：
Work as S2/S1When ＞ 50, that is, judge that the doubtful leak source of pipeline is leaked.
Acquisition by a large amount of real data obtains above-mentioned conclusion with inductive statistics.
Other steps and parameter are same as the specific embodiment one.
Embodiment
Beneficial effects of the present invention are verified using following embodiment：
A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle described in the present embodiment according to
Lower step carries out：
Doubtful leak source is Changzhou Wujin Disease Control and Prevention Center, which is fire-fighting cast-iron pipe, caliber DN100；
Step 1: when carrying out leak detection work, using two sound transducers, the soil for being placed on the doubtful leak source of pipeline
Acquisition above earth, collected signal is as echo signal；The distant location under same environmental background is (apart from doubtful leakage simultaneously
15M at point) acquisition ambient noise signal；Low-pass filtering is carried out to collected two groups of signals, retains low-frequency range (flow therein
The vibration signal generated with embedded medium)；
Step 2: to two groups of signals after low-pass filtering in step 1, autocorrelation analysis is carried out, auto-correlation is calculated separately out
Functional value；
Step 3: using auto-correlation function value as the sequence of calculation of approximate entropy, calculate over time, two groups of letters
The size and situation of change of number approximate entropy；The fluctuation for quantifying two groups of signals with the variance of approximate entropy respectively, obtains
The echo signal and ambient noise signal approximate entropy comparison diagram of doubtful leak source as shown in Figure 4；
Step 4: the variance of two groups of signal approximation entropy of comparison, water leakage approximation entropy variance S1It is close with noise signal
Like entropy variance S2Ratio be：S2/S1=106,106>50, it can determine that as leak.
Step 5: according to the judgement of step 4 as a result, being excavated to leak source, it can be seen that water pipe has leakage (such as Fig. 5 institutes
Show), final leakage water of verifying is：0.5m3/h。
The present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, this field
Technical staff makes various corresponding change and deformations in accordance with the present invention, but these corresponding change and deformations should all belong to
The protection domain of appended claims of the invention.
Claims (2)
1. a kind of water supply line based on auto-correlation and approximate Entropy principle leaks discrimination method, which is characterized in that the method has
Body includes the following steps：
Step 1: the collected sound signal above the embedded medium of the doubtful leak source of pipeline, collected signal is believed as target
Number；Simultaneously ambient noise signal is acquired under same environmental background；Low-pass filtering is carried out to collected two groups of signals, retains two
Low-frequency range in group signal；
Step 2: to two groups of signals after low-pass filtering in step 1, autocorrelation analysis is carried out, auto-correlation function is calculated separately out
Value；
Step 3: using auto-correlation function value as the sequence of calculation of approximate entropy, calculate over time, two groups of signals are close
Like the size and situation of change of entropy；Quantify the fluctuation of two groups of signals, echo signal with the variance of approximate entropy respectively
The variance of approximate entropy is S1, the variance of ambient noise signal approximation entropy is S2；
Step 4: comparing the variance of two groups of signal approximation entropy to judge whether the doubtful leak source of water supply line leaks.
2. a kind of water supply line based on auto-correlation and approximate Entropy principle leaks discrimination method according to claim 1, special
Sign is that the specific method judged in step 4 is：
Work as S2/S1When ＞ 50, that is, judge that the doubtful leak source of pipeline is leaked.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810240175.8A CN108488637A (en) | 2018-03-22 | 2018-03-22 | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810240175.8A CN108488637A (en) | 2018-03-22 | 2018-03-22 | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108488637A true CN108488637A (en) | 2018-09-04 |
Family
ID=63319211
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810240175.8A Pending CN108488637A (en) | 2018-03-22 | 2018-03-22 | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108488637A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109340586A (en) * | 2018-11-06 | 2019-02-15 | 三川智慧科技股份有限公司 | A kind of detection method and system of water supply line leakage |
| CN112161755A (en) * | 2020-08-12 | 2021-01-01 | 苏州聆听智能科技有限公司 | Buried pipeline detection method and device, heterogeneous sensor array and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11248591A (en) * | 1998-03-04 | 1999-09-17 | Tokyo Metropolis | Method and device for detecting water leaking position |
| JP2000193551A (en) * | 1998-12-28 | 2000-07-14 | Non-Destructive Inspection Co Ltd | Device for locating fluid leakage |
| CN101493186A (en) * | 2009-02-27 | 2009-07-29 | 保定市金迪科技开发有限公司 | Groundwater supply pipe network water leakage detecting method |
| CN101551064A (en) * | 2009-05-22 | 2009-10-07 | 重庆大学 | Water supply pipe leakage detection locating signal processing method |
| CN105675216A (en) * | 2016-01-11 | 2016-06-15 | 中国工程物理研究院激光聚变研究中心 | Detection and location method for leaked sound signals |
| CN106764451A (en) * | 2016-12-08 | 2017-05-31 | 重庆科技学院 | The modeling method of gas pipeline tiny leakage is detected based on sound wave signals |
| CN107355687A (en) * | 2017-06-09 | 2017-11-17 | 昆明理工大学 | A kind of sewer pipe fault detection method |
-
2018
- 2018-03-22 CN CN201810240175.8A patent/CN108488637A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11248591A (en) * | 1998-03-04 | 1999-09-17 | Tokyo Metropolis | Method and device for detecting water leaking position |
| JP2000193551A (en) * | 1998-12-28 | 2000-07-14 | Non-Destructive Inspection Co Ltd | Device for locating fluid leakage |
| CN101493186A (en) * | 2009-02-27 | 2009-07-29 | 保定市金迪科技开发有限公司 | Groundwater supply pipe network water leakage detecting method |
| CN101551064A (en) * | 2009-05-22 | 2009-10-07 | 重庆大学 | Water supply pipe leakage detection locating signal processing method |
| CN105675216A (en) * | 2016-01-11 | 2016-06-15 | 中国工程物理研究院激光聚变研究中心 | Detection and location method for leaked sound signals |
| CN106764451A (en) * | 2016-12-08 | 2017-05-31 | 重庆科技学院 | The modeling method of gas pipeline tiny leakage is detected based on sound wave signals |
| CN107355687A (en) * | 2017-06-09 | 2017-11-17 | 昆明理工大学 | A kind of sewer pipe fault detection method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109340586A (en) * | 2018-11-06 | 2019-02-15 | 三川智慧科技股份有限公司 | A kind of detection method and system of water supply line leakage |
| CN109340586B (en) * | 2018-11-06 | 2020-07-28 | 三川智慧科技股份有限公司 | Method and system for detecting leakage of water supply pipeline |
| CN112161755A (en) * | 2020-08-12 | 2021-01-01 | 苏州聆听智能科技有限公司 | Buried pipeline detection method and device, heterogeneous sensor array and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hunaidi et al. | Acoustic methods for locating leaks in municipal water pipe networks | |
| CN103590444B (en) | Method for continuously monitoring leakage of large buried pressure water pipe and booster early warning system | |
| CN107843713B (en) | Artificial rainfall simulation method for debris flow starting test | |
| CN101592288B (en) | Method for identifying pipeline leakage | |
| CN102606891A (en) | Water leakage detector, water leakage detecting system and water leakage detecting method | |
| CN102606890A (en) | Device and method for quantifying and positioning loss of water feeding pipeline by applying transient excitation | |
| CN102072408A (en) | Leakage detecting method for urban water supply pipes | |
| CN103062628A (en) | Urban gas buried pipeline leakage detection and locating method and applications thereof | |
| Hunaidi et al. | A new system for locating leaks in urban water distribution pipes | |
| Al-Ghamdi | Leakage–pressure relationship and leakage detection in intermittent water distribution systems | |
| Xue et al. | Application of acoustic intelligent leak detection in an urban water supply pipe network | |
| CN108488637A (en) | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle | |
| Wang et al. | Leak detection in pipeline systems using hydraulic methods: A review | |
| CN112525437B (en) | Underwater identification method for leakage noise of large-scale water delivery building | |
| Zeng et al. | Linear phase detector for detecting multiple leaks in water pipes | |
| CN108845030A (en) | A method of detecting tube circumference medium state in large diameter pipeline | |
| CN112179584A (en) | Verification platform of water supply pipeline leak detection equipment | |
| CN110131594A (en) | A kind of leakage locating method based on ultrasonic velocity variation | |
| CN212844227U (en) | Verification platform of water supply pipeline leak detection equipment | |
| CN108980631A (en) | A kind of negative pressure wave method pipeline leakage checking system based on in-circuit emulation | |
| CN116293205A (en) | Tracking and blocking positioning method for oil and gas pipeline cleaner | |
| Hunaidi et al. | Detecting leaks in water distribution pipes | |
| Ferino et al. | Development of Leak Detection System for PVC Pipeline Through Vibro-Acoustic Emission | |
| Chastain-Howley | Transmission main leakage: how to reduce the risk of a catastrophic failure | |
| Gupta et al. | Analysis of different techniques for locating leaks in pipes in water distribution system using WSN |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180904 |