CN107620868A - Pipeline leakage detection method and device - Google Patents
Pipeline leakage detection method and device Download PDFInfo
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- CN107620868A CN107620868A CN201711095492.7A CN201711095492A CN107620868A CN 107620868 A CN107620868 A CN 107620868A CN 201711095492 A CN201711095492 A CN 201711095492A CN 107620868 A CN107620868 A CN 107620868A
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Abstract
The invention provides a kind of pipeline leakage detection method and device, is related to line leakage field.The pipeline leakage detection method includes:Obtain the negative pressure wave signal as caused by pipe leakage;The negative pressure wave signal is pre-processed, obtains dynamic change sequence of the pipeline along line pressure;Dynamic change sequence based on the pipeline along line pressure, determine section where leakage point;Based on the dynamic change sequence of section pressure at two ends where the leakage point, the position of the leakage point is obtained.Pipe detection is segmented by method and device provided by the invention by the multiple sensors set in pipeline, to determine section where leakage point, leakage point is positioned based on section where the leakage point again, its positioning precision is high, scene is workable, can be widely applied to the leakage monitoring of long-distance oil & gas pipeline and urban water supply heat supply pipeline.
Description
Technical field
The present invention relates to line leakage field, in particular to a kind of pipeline leakage detection method and device.
Background technology
Pipeline is the rheologies such as oil, natural gas, ore pulp, carbon dioxide, bio-fuel as the fifth-largest transportation trade
The most effective means of transportation of characteristic medium.But with the growth in pipe age, the reason such as the geological disaster of aging burn into and artificial destruction is drawn
The pipe leakage Frequent Accidents risen.Therefore real-time monitoring tubular road leaks and leakage point is accurately positioned, to ensureing public goods
Production and personal safety, environmental protection, reduction national economy are lost significant.
Existing Discussion on Pipe Leakage Detection Technology is broadly divided into leaking medium detection method, tube wall parameter detecting method, Acoustic detection
Method and the major class of distributed fiber-optic sensor monitoring method four.And suction wave monitoring method turns into and managed in recent years due to realizing simple, easy care
One of the study hotspot and technical way in road leak detection field.But negative pressure wave signal is leaked in transmitting procedure due to letter
Number decay and the influence of the factor such as ambient noise, negative pressure wave signal flex point is unintelligible, reaches pipe ends sensor time difference and obtains
Take precision to reduce, have a strong impact on the positioning precision of suction wave system and the popularization and application in pipeline transportation industry.
The content of the invention
It is an object of the invention to provide a kind of pipeline leakage detection method and device, and it can be effectively improved above-mentioned ask
Topic.
What embodiments of the invention were realized in:
In a first aspect, the embodiments of the invention provide a kind of pipeline leakage detection method, methods described includes:Obtain by pipe
Negative pressure wave signal caused by road leakage;The negative pressure wave signal is pre-processed, obtains dynamic of the pipeline along line pressure
Change sequence;Dynamic change sequence based on the pipeline along line pressure, determine section where leakage point;Based on the leakage point
The dynamic change sequence of place section pressure at two ends, obtain the position of the leakage point.
Second aspect, the embodiment of the present invention additionally provide a kind of pipeline leakage testing device, and it includes acquisition module, is used for
Obtain the negative pressure wave signal as caused by pipe leakage;Pretreatment module, for being pre-processed to the negative pressure wave signal, obtain
Dynamic change sequence of the pipeline along line pressure;Section module, for based on dynamic change sequence of the pipeline along line pressure
Row, determine section where leakage point;Position module, for the dynamic change sequence based on section pressure at two ends where the leakage point
Row, obtain the position of the leakage point.
The third aspect, the embodiment of the present invention additionally provide a kind of pipeline leakage testing device, and it includes multiple sensors, institute
State axis of multiple sensors along pipe under test to be disposed in the pipe under test, the spacing between the multiple sensor
Adjustable, the sensor is used to detect the negative pressure wave signal as caused by pipe under test leakage.
Pipeline leakage detection method and device provided in an embodiment of the present invention, obtain the negative pressure as caused by pipe leakage first
Ripple signal;Then the negative pressure wave signal is pre-processed, to reduce interference of the noise to effective negative pressure wave signal, obtains institute
State dynamic change sequence of the pipeline along line pressure;Again based on dynamic change sequence of the pipeline along line pressure, leakage point is determined
Place section, to reduce computer capacity, make result of calculation more accurate;Section pressure at two ends where being finally based on the leakage point
Dynamic change sequence, obtains the position of the leakage point, that is, realizes and the leakage point is accurately positioned.Relative to existing skill
Pipe detection is segmented by art, method and device provided in an embodiment of the present invention by the multiple sensors set in pipeline,
To determine section where leakage point, then based on section where the leakage point leakage point is positioned, can be achieved to suction wave
Signal knee and the accurate acquisition of time difference, its positioning precision is high, scene is workable, can be widely applied to long oil transportation gas
The leakage monitoring of pipeline and urban water supply heat supply pipeline.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is a kind of structured flowchart for the electronic equipment that can be applied in the embodiment of the present invention;
Fig. 2 is the FB(flow block) for the pipeline leakage detection method that first embodiment of the invention provides;
Fig. 3 is the sub-step FB(flow block) of step S210 in first embodiment of the invention;
Fig. 4 is the sub-step FB(flow block) of step S220 in first embodiment of the invention;
Fig. 5 is the sub-step FB(flow block) of step S230 in first embodiment of the invention;
Sensor monitoring negative pressure wave signal sequence is bent along pipeline after the leakage that Fig. 6 provides for first embodiment of the invention
Line;
Fig. 7 is curve after the Sensor monitoring negative pressure wave signal wavelet transformation that first embodiment of the invention provides;
After difference arithmetic being used after the leakage point pressure at both sides Sequence Wavelet Transform that Fig. 8 provides for first embodiment of the invention
Dynamic pressure profile;
Fig. 9 uses the phase obtained after cross correlation algorithm for what first embodiment of the invention provided to dynamic pressure change sequence
Close function curve;
Figure 10 is the schematic diagram that conic fitting obtains two signal times difference;
Figure 11 is the structured flowchart for the pipeline leakage testing device that second embodiment of the invention provides;
Figure 12 is the structured flowchart for the pretreatment module that second embodiment of the invention provides;
Figure 13 is the structured flowchart for the section module that second embodiment of the invention provides;
Figure 14 is the structured flowchart for the position module that second embodiment of the invention provides;
Figure 15 is the structural representation for the pipeline leakage testing device that third embodiment of the invention provides.
Embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Generally exist
The component of the embodiment of the present invention described and illustrated in accompanying drawing can be configured to arrange and design with a variety of herein.Cause
This, the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention below
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that:Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, and it is not intended that instruction or hint relative importance.
Fig. 1 shows a kind of structured flowchart for the electronic equipment 100 that can be applied in the embodiment of the present application.As shown in figure 1,
Electronic equipment 100 can include memory 110, storage control 120, processor 130, display screen 140 and pipe leakage inspection
Survey device.For example, the electronic equipment 100 can be PC (personal computer, PC), tablet personal computer, intelligent hand
Machine, personal digital assistant (personal digital assistant, PDA) etc..
It is directly or indirectly electric between memory 110, storage control 120, processor 130,140 each element of display screen
Connection, to realize the transmission of data or interaction.For example, one or more communication bus or signal can be passed through between these elements
Bus realizes electrical connection.The pipeline leakage detection method respectively include it is at least one can be with software or firmware (firmware)
Form be stored in software function module in memory 110, such as the software function that the pipeline leakage testing device includes
Module or computer program.
Memory 110 can store various software programs and module, the pipe leakage inspection provided such as the embodiment of the present application
Survey programmed instruction/module corresponding to method and device.Processor 130 is by running the software program of storage in the memory 110
And module, so as to perform various function application and data processing, that is, realize the pipeline leakage testing in the embodiment of the present application
Method.Memory 110 can include but is not limited to random access memory (Random Access Memory, RAM), read-only to deposit
Reservoir (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory,
PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electric erasable
Read-only storage (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Processor 130 can be a kind of IC chip, have signal handling capacity.Above-mentioned processor can be general
Processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network
Processor, abbreviation NP) etc.;It can also be digital signal processor (DSP), application specific integrated circuit (ASIC), ready-made programmable
Gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hardware components.It can
To realize or perform disclosed each method, step and the logic diagram in the embodiment of the present application.General processor can be micro-
Processor or the processor can also be any conventional processors etc..
Electronic equipment 100 applied in the embodiment of the present invention can also possess certainly to realize pipeline leakage detection method
Display function, display screen 140 therein can provide an interactive interface (example between the electronic equipment 100 and user
Such as user interface) or for display image data give user reference.For example, it can be gathered with display pipes leak detecting device
The data such as negative pressure wave signal image.
Firstly the need of explanation before the specific embodiment of the present invention is introduced, the present invention is computer technology in pipeline
A kind of application in leakage monitoring field.In the implementation process of the present invention, the application of multiple software function modules can be related to.Shen
Ask someone to think, it is existing combining such as after application documents, accurate understanding realization principle and goal of the invention of the invention is read over
In the case of having known technology, those skilled in the art can use the software programming technical ability of its grasp to realize the present invention completely,
The software function module that all the present patent application files refer to belongs to this category, and applicant will not enumerate.
First embodiment
Fig. 2 is refer to, present embodiments provides a kind of pipeline leakage detection method, methods described includes:
Step S200:Obtain the negative pressure wave signal as caused by pipe leakage;
In the present embodiment, multiple sensors are arranged at intervals with the section to be measured of the pipeline, each sensor can be used
Pressure signal in the acquisition section to be measured.It is understood that when being leaked in the section to be measured of the pipeline, by
The pressure drop of pipe leakage point position can be caused in pipe leakage, that is, produces negative pressure wave signal, is detected and obtained by sensor
The negative pressure wave signal, you can the analysis of later leakage point position is carried out according to the negative pressure wave signal.
In the present embodiment, the sensor can be electronic sensor or fibre optical sensor or other can carry out pipeline pressure
The sensor of power detection, each sensor can be entered the negative pressure wave signal collected by wired or wireless mode
Row data transfer.
Step S210:The negative pressure wave signal is pre-processed, obtains dynamic change sequence of the pipeline along line pressure
Row;
In the present embodiment, by being pre-processed to the negative pressure wave signal, other interior noises of pipeline can be reduced to having
The interference of negative pressure wave signal is imitated, finally obtains Pressure behaviour change sequence along effective pipeline.
Step S220:Dynamic change sequence based on the pipeline along line pressure, determine section where leakage point;
In the present embodiment, by analyzing dynamic change sequence of the pipeline along line pressure and the relation of position in pipeline,
The manifold pressure can be found change most obvious region, and the substantially section where leakage point is determined with this.For example,
Can be mutual by this by the cross-correlation coefficient for the Pressure behaviour change sequence for calculating each two adjacent sensors in the pipeline
Coefficient correlation characterizes the pressure change obvious degree in the section, and with two maximum adjacent sensors of cross-correlation coefficient it
Between region as section where leakage point.
Step S230:Based on the dynamic change sequence of section pressure at two ends where the leakage point, the leakage point is obtained
Position.
In the present embodiment, by the dynamic change sequence of section pressure at two ends where analyzing the leakage point, it can obtain
The time difference of section both ends sensor where negative pressure wave signal caused by the leakage point reaches the leakage point, and during according to this
Between difference and negative pressure wave signal spread speed calculate the particular location of leakage point, that is, realize being accurately positioned for leakage point.
It refer to Fig. 3, in the present embodiment, further, the step S210 can include following sub-step:
Step S300:Wavelet transformation is carried out to the negative pressure wave signal, obtains the negative pressure wave signal sequence after wavelet transformation;
In the present embodiment, for example based on the line leakage experiment porch of laboratory, pipeline material is carbon steel piping, pipe
112 meters of road overall length, 100 millimeters, 0~0.4Mpa of pressure limit, data sampling frequency 1kHz of internal diameter.Distinguish at pipeline head and the tail both ends
A, B, C, D, E pressure sensor are installed, pipe leakage Sensor monitoring negative pressure wave signal sequence is simulated by valve opening and closing.
The leakage negative pressure wave signal that each sensor monitors in real time is respectively one group of discrete series, as shown in Figure 6.
In the present embodiment, by carrying out wavelet transform process to the negative pressure wave signal, noise can be reduced to effective negative pressure
The interference of ripple signal.
Negative pressure wave signal sequence after the wavelet transformation is comprising complete before and after suction wave flex point and flex point pressure stability
Negative pressure wave signal, wherein, the selection of the suction wave flex point can use fixed threshold method.For example, fixed threshold k is chosen,
Work as Xn-1-XnDuring ﹥ k, n points are selected negative pressure wave signal flex point.
The signal curve for the negative pressure wave signal for including flex point in Fig. 6 obtain after wavelet transformation is as shown in Figure 7.
Step S310:Difference operation is carried out to the negative pressure wave signal sequence after the wavelet transformation, obtains the pipeline edge
The dynamic change sequence of line pressure.
In the present embodiment, carrying out difference operation to the negative pressure wave signal sequence after the wavelet transformation can be specifically, first
If the negative pressure wave signal sequence of two sensors collection at the end points of pipeline both sides is respectively A (x), B (x), it is through too small
Pressure sequence after wave conversion is PA(i)、PB(i), wherein i is data sequence 1,2 ... L+1 arbitrary datas, and L+1 is data sequence
The length of row, then to PA(i)、PB(i) dynamic pressure change sequence X (i), the Y of the pipe ends obtained after difference operation are used
(i) it is respectively:
X (i)=PA(i+1)-PA(i) i=1,2,3 ... L
Y (i)=PB(i+1)-PB(i) i=1,2,3 ... L
After above-mentioned difference operation, obtained curve is as shown in Figure 8.
It refer to Fig. 4, in the present embodiment, further, the step S220 can include following sub-step:
Step S400:Dynamic change sequence based on the pipeline along line pressure, obtain multigroup adjacent two in the pipeline
The Pressure behaviour change sequence of individual monitoring point;
In the present embodiment, the pressure that each two adjacent sensors in the pipeline are obtained by method same as described above is moved
State change sequence.It is understood that the monitoring point is position corresponding to each sensor, each monitoring point is right
Ying Yuyi sensor.
Step S410:The cross-correlation coefficient of the Pressure behaviour change sequence of multigroup two neighboring monitoring point is calculated, and
Two neighboring monitoring point corresponding to maximum cross-correlation coefficient is therefrom filtered out, by adjacent two corresponding to the maximum cross-correlation coefficient
Region between individual monitoring point is as section where leakage point.
In the present embodiment, the calculating of the cross-correlation coefficient can be specifically, if two sensings adjacent in the pipeline
The Pressure behaviour change sequence of device monitoring is respectively X (i), Y (i), and wherein i is data sequence 1,2 ... L arbitrary datas, and L is number
According to the length of sequence, then correlation coefficient ρxyIt can be calculated according to following formula:
Wherein,Respectively sequence X (i) and Y (i) average.
The pipeline dynamic pressure change sequence monitored for the sensor array in experiment, is calculated using above-mentioned formula respectively
The cross-correlation coefficient ρ of two neighboring sensorAB=0.76, ρBC=0.52, ρCD=0.65, ρDE=0.44, now take maximum mutual
It is section where leakage point between sensor regions where relation number, i.e., leakage point place will be used as between sensors A and sensor B
Section.
It refer to Fig. 5, in the present embodiment, further, the step S230 can include following sub-step:
Step S500:The dynamic change sequence of section pressure at two ends where obtaining the leakage point;
In the present embodiment, the pressure of two neighboring sensor corresponding to the maximum cross-correlation coefficient that is filtered out by previous step
Power dynamic change sequence, the dynamic change sequence of section pressure at two ends where as described leakage point.
Step S510:Based on cross correlation algorithm, the dynamic change sequence of section pressure at two ends where calculating the leakage point
Correlation function extreme value;
In the present embodiment, the cross correlation algorithm can be specifically, if the pressure at section both ends is moved where the leakage point
State change sequence is respectively X (i), Y (i), and wherein i is data sequence 1,2 ... L arbitrary datas, and L is the length of data sequence,
Wherein X (i) and Y (i) length can be the same or different, during both length differences, in short sequence trailing zero until both
Equal length.Calculate the cross-correlation function R of two sequencesxyCan be:
Calculate cross-correlation function R again afterwardsxyExtreme value and the extreme value of a function corresponding to abscissa m.To the present embodiment
Experiment in correlation function curve such as Fig. 9 institutes for being obtained using above-mentioned cross correlation algorithm of dynamic pressure change sequence X (i) and Y (i)
Show.Ordinate in Fig. 9 is cross-correlation function RxyValue, abscissa is sampled point m, specifically, can be by by cross-correlation letter
Neighbouring 2 points are fitted with the extreme point before and after extreme point on number, obtain a fitting function, then obtain the fitting letter
Sampled point m corresponding to several maximums, and by sampled point m corresponding to the maximum of the fitting function and two discrete series X (i)
It is multiplied with Y (i) sample frequency time interval δ, you can obtain negative pressure wave signal caused by the leakage point and reach the leakage
The time difference at section both ends where point.
For above-mentioned cross correlation algorithm is further illustrated, sequence X (i) is now set as { 1,2,4,2,1 }, sequence Y (i)
For { 2,2,1 }, the cross-correlation function R of two sequences of calculatingxy.Because sequence Y (i) length is less than X (i), Y (i) is carried out first
Polishing, it is { 2,2,1,0,0 } to be converted into Y (i), therefore takes L=4, m=0, ± 1, ± 2, ± 3, using above-mentioned cross-correlation function Rxy
Calculation formula result of calculation it is as shown in table 1.
Table 1
As shown in Table 1, as m=1, cross-correlation function RxyTake maximum 14.
Step S520:Choose neighbouring in the correlation function extreme value 3 points and enter horizontal parabola interpolation acquisition parabola letter
Number, and reach institute using abscissa corresponding to the maximum of the parabolic function as negative pressure wave signal caused by the leakage point
The time difference at section both ends where stating leakage point;
In the present embodiment, the difference arithmetic can be specifically, if the above-mentioned cross-correlation letter tried to achieve by cross correlation algorithm
Number extreme value k=14, then take and carry out conic fitting with (1,14) at 2 points apart from neighbouring the extreme value k (0,10), (2,13),
Obtain fitting function:
F (m)=- 2.5m2+6.5m+10
Abscissa τ=1.30 corresponding to function f (m) maximum and the maximum are calculated, if two discrete series X
(i) the sample frequency time interval with Y (i) is δ, then two signal X (i) and Y (i) time shift amount is Δ t=δ τ, such as Figure 10 institutes
Show.
Step S530:Section both ends where reaching the leakage point based on negative pressure wave signal caused by the leakage point when
Between it is poor, obtain the position of the leakage point.
In the present embodiment, the leakage point can be accurately positioned by suction wave location algorithm.The suction wave
Location algorithm can be specifically, if pipeline enclosure is away from L, negative pressure velocity of wave propagation between the two sensorses at section both ends where leakage point
For V, use the related algorithm in the present embodiment to calculate two sensorses and monitor the negative pressure wave signal time difference as Δ t, then leakage point away from
From being wherein with a distance from a sensor:
Now realize the accurate acquisition to pipe leakage point position.
The present embodiment provide method by using wavelet transformation, negative pressure wave signal difference operation, correlation function analysis with
And quadratic fit processing, the accurate acquisition to negative pressure wave signal flex point and time difference is realized, improves system accuracy, its
Positioning precision is high, scene is workable, can be widely applied to the leakage of long-distance oil & gas pipeline and urban water supply heat supply pipeline
In monitoring.
Second embodiment
Figure 11 is refer to, present embodiments provides a kind of pipeline leakage testing device 600, it includes:
Acquisition module 610, for obtaining the negative pressure wave signal as caused by pipe leakage;
Pretreatment module 620, for being pre-processed to the negative pressure wave signal, the pipeline is obtained along the dynamic of line pressure
State change sequence;
Section module 630, for based on dynamic change sequence of the pipeline along line pressure, determining leakage point location
Between;
Position module 640, for the dynamic change sequence based on section pressure at two ends where the leakage point, described in acquisition
The position of leakage point.
It refer to Figure 12, in the present embodiment, further, the pretreatment module 620 can also include such as lower unit:
Wavelet transform unit 621, for carrying out wavelet transformation to the negative pressure wave signal, obtain the negative pressure after wavelet transformation
Ripple signal sequence;
Difference unit 622, for carrying out difference operation to the negative pressure wave signal sequence after the wavelet transformation, described in acquisition
Dynamic change sequence of the pipeline along line pressure.
It refer to Figure 13, in the present embodiment, further, the section module 630 can also include such as lower unit:
Zoning unit 631, for based on dynamic change sequence of the pipeline along line pressure, obtaining multigroup in the pipeline
The Pressure behaviour change sequence of two neighboring monitoring point;
Screening unit 632, the cross-correlation of the Pressure behaviour change sequence for calculating multigroup two neighboring monitoring point
Coefficient, and two neighboring monitoring point corresponding to maximum cross-correlation coefficient is therefrom filtered out, the maximum cross-correlation coefficient is corresponding
Two neighboring monitoring point between region as section where leakage point.
It refer to Figure 14, in the present embodiment, further, the position module 640 can also include such as lower unit:
Acquiring unit 641, the dynamic change sequence for section pressure at two ends where obtaining the leakage point;
Cross-correlation unit 642, the dynamic for section pressure at two ends where based on cross correlation algorithm, calculating the leakage point
The correlation function extreme value of change sequence;
Interpolating unit 643, enter the acquisition throwing of horizontal parabola interpolation for choosing neighbouring in the correlation function extreme value 3 points
Thing line function, and using the product in abscissa corresponding to the maximum of the parabolic function and data sequence sampling interval as institute
State the time difference at section both ends where negative pressure wave signal caused by leakage point reaches the leakage point;
Positioning unit 644, for section where reaching the leakage point based on negative pressure wave signal caused by the leakage point
The time difference at both ends, obtain the position of the leakage point.
3rd embodiment
Figure 15 is refer to, present embodiments provides a kind of pipeline leakage testing device 1000, it includes multiple sensors
800, axis of the multiple sensor 800 along pipe under test 900 is disposed in the pipe under test 900.
In the present embodiment, the spacing between the multiple sensor 800 is adjustable, and the sensor 800 is used to detect by institute
State pipe under test 900 and leak caused negative pressure wave signal.Preferably, the spacing between the multiple sensor 800 is identical.Can be with
Understand, the spacing between the multiple sensor 800 can also be incomplete same.
In the present embodiment, the sensor 800 can be electronic sensor or fibre optical sensor or other can carry out pipe
The sensor of road pressure detecting, each sensor 800 can pass through the negative pressure wave signal collected wired or wireless
Mode carry out data transmission.
In summary, pipeline leakage detection method and device provided in an embodiment of the present invention, are obtained by pipe leakage first
Caused negative pressure wave signal;Then the negative pressure wave signal is pre-processed, to reduce noise to effective negative pressure wave signal
Interference, obtains dynamic change sequence of the pipeline along line pressure;Again based on dynamic change sequence of the pipeline along line pressure,
Section where determining leakage point, to reduce computer capacity, makes result of calculation more accurate;Section where being finally based on the leakage point
The dynamic change sequence of pressure at two ends, the position of the leakage point is obtained, that is, realizes and the leakage point is accurately positioned.Relatively
In prior art, method and device provided in an embodiment of the present invention is entered pipe detection by the multiple sensors set in pipeline
Row segmentation, to determine section where leakage point, then based on section where the leakage point leakage point is positioned, can be achieved pair
Negative pressure wave signal flex point and the accurate acquisition of time difference, its positioning precision is high, scene is workable, can be widely applied to grow
The leakage monitoring of oil and gas pipeline and urban water supply heat supply pipeline.The preferred embodiments of the present invention are the foregoing is only, and
The limitation present invention is not used in, for those skilled in the art, the present invention there can be various modifications and variations.It is all in this hair
Within bright spirit and principle, any modification, equivalent substitution and improvements made etc., protection scope of the present invention should be included in
Within.
Claims (10)
1. a kind of pipeline leakage detection method, it is characterised in that methods described includes:
Obtain the negative pressure wave signal as caused by pipe leakage;
The negative pressure wave signal is pre-processed, obtains dynamic change sequence of the pipeline along line pressure;
Dynamic change sequence based on the pipeline along line pressure, determine section where leakage point;
Based on the dynamic change sequence of section pressure at two ends where the leakage point, the position of the leakage point is obtained.
2. according to the method for claim 1, it is characterised in that the negative pressure wave signal is pre-processed, described in acquisition
Dynamic change sequence of the pipeline along line pressure, including:
Wavelet transformation is carried out to the negative pressure wave signal, obtains the negative pressure wave signal sequence after wavelet transformation;
Difference operation is carried out to the negative pressure wave signal sequence after the wavelet transformation, dynamic of the pipeline along line pressure is obtained and becomes
Change sequence.
3. method according to claim 1 or 2, it is characterised in that based on dynamic change sequence of the pipeline along line pressure
Row, section where leakage point is determined, including:
Dynamic change sequence based on the pipeline along line pressure, obtain the pressure of multigroup two neighboring monitoring point in the pipeline
Dynamic change sequence;
The cross-correlation coefficient of the Pressure behaviour change sequence of multigroup two neighboring monitoring point is calculated, and therefrom filters out maximum
Two neighboring monitoring point corresponding to cross-correlation coefficient, by between two neighboring monitoring point corresponding to the maximum cross-correlation coefficient
Region is as section where leakage point.
4. method according to claim 1 or 2, it is characterised in that based on section pressure at two ends where the leakage point
Dynamic change sequence, the position of the leakage point is obtained, including:
The dynamic change sequence of section pressure at two ends where obtaining the leakage point;
Based on cross correlation algorithm, the correlation function pole of the dynamic change sequence of section pressure at two ends where calculating the leakage point
Value;
Choose neighbouring in the correlation function extreme value 3 points and enter horizontal parabola interpolation and obtain parabolic function, and by the parabolic
Abscissa corresponding to the maximum of line function reaches the leakage point location as negative pressure wave signal caused by the leakage point
Between both ends time difference;
The time difference at section both ends where reaching the leakage point based on negative pressure wave signal caused by the leakage point, described in acquisition
The position of leakage point.
5. according to the method for claim 2, it is characterised in that the negative pressure wave signal sequence after the wavelet transformation includes negative
Complete negative pressure wave signal before and after pressure ripple flex point and flex point pressure stability, wherein, the selection of the suction wave flex point is using solid
Determine threshold method.
6. a kind of pipeline leakage testing device, it is characterised in that described device includes:
Acquisition module, for obtaining the negative pressure wave signal as caused by pipe leakage;
Pretreatment module, for being pre-processed to the negative pressure wave signal, obtain dynamic change of the pipeline along line pressure
Sequence;
Section module, for based on dynamic change sequence of the pipeline along line pressure, determining section where leakage point;
Position module, for the dynamic change sequence based on section pressure at two ends where the leakage point, obtain the leakage point
Position.
7. device according to claim 6, it is characterised in that the pretreatment module includes:
Wavelet transform unit, for carrying out wavelet transformation to the negative pressure wave signal, obtain the negative pressure wave signal after wavelet transformation
Sequence;
Difference unit, for carrying out difference operation to the negative pressure wave signal sequence after the wavelet transformation, obtain the pipeline edge
The dynamic change sequence of line pressure.
8. the device according to claim 6 or 7, it is characterised in that the section module includes:
Zoning unit, for based on dynamic change sequence of the pipeline along line pressure, obtaining multigroup adjacent two in the pipeline
The Pressure behaviour change sequence of individual monitoring point;
Screening unit, the cross-correlation coefficient of the Pressure behaviour change sequence for calculating multigroup two neighboring monitoring point, and
Two neighboring monitoring point corresponding to maximum cross-correlation coefficient is therefrom filtered out, by adjacent two corresponding to the maximum cross-correlation coefficient
Region between individual monitoring point is as section where leakage point.
9. the device according to claim 6 or 7, it is characterised in that the position module includes:
Acquiring unit, the dynamic change sequence for section pressure at two ends where obtaining the leakage point;
Cross-correlation unit, the dynamic change sequence for section pressure at two ends where based on cross correlation algorithm, calculating the leakage point
The correlation function extreme value of row;
Interpolating unit, enter horizontal parabola interpolation acquisition parabola letter for choosing neighbouring in the correlation function extreme value 3 points
Number, and reach institute using abscissa corresponding to the maximum of the parabolic function as negative pressure wave signal caused by the leakage point
The time difference at section both ends where stating leakage point;
Positioning unit, for section both ends where reaching the leakage point based on negative pressure wave signal caused by the leakage point when
Between it is poor, obtain the position of the leakage point.
10. a kind of pipeline leakage testing device, it is characterised in that including multiple sensors, test tube is treated on the multiple sensor edge
The axis in road is disposed in the pipe under test, and the spacing between the multiple sensor is adjustable, and the sensor is used for
Detection negative pressure wave signal as caused by pipe under test leakage.
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109114424A (en) * | 2017-06-26 | 2019-01-01 | 中国石油天然气股份有限公司 | Pipe leakage point method for determining position and device |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1693865A (en) * | 2005-06-01 | 2005-11-09 | 天津大学 | Method for detecting leakage of oil gas pipe based on pressure signal knee |
WO2013000308A1 (en) * | 2011-06-27 | 2013-01-03 | International Business Machines Corporation | Determining fluid leakage volume in pipelines |
CN103629534A (en) * | 2013-11-25 | 2014-03-12 | 孙良 | Oil pipeline leakage detection and positioning method based on comprehensive signals |
CN106481989A (en) * | 2016-12-01 | 2017-03-08 | 山东省科学院激光研究所 | pipeline leakage detection method and device |
CN107084313A (en) * | 2017-05-16 | 2017-08-22 | 云南大红山管道有限公司 | Ore slurry pipeline leaks positioning alarm system and method |
-
2017
- 2017-11-08 CN CN201711095492.7A patent/CN107620868B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1693865A (en) * | 2005-06-01 | 2005-11-09 | 天津大学 | Method for detecting leakage of oil gas pipe based on pressure signal knee |
WO2013000308A1 (en) * | 2011-06-27 | 2013-01-03 | International Business Machines Corporation | Determining fluid leakage volume in pipelines |
CN103629534A (en) * | 2013-11-25 | 2014-03-12 | 孙良 | Oil pipeline leakage detection and positioning method based on comprehensive signals |
CN106481989A (en) * | 2016-12-01 | 2017-03-08 | 山东省科学院激光研究所 | pipeline leakage detection method and device |
CN107084313A (en) * | 2017-05-16 | 2017-08-22 | 云南大红山管道有限公司 | Ore slurry pipeline leaks positioning alarm system and method |
Non-Patent Citations (1)
Title |
---|
赵林,王纪强,李振: "光纤负压波管道泄漏监测系统", 《红外与激光工程》 * |
Cited By (17)
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