CN109340586A - A kind of detection method and system of water supply line leakage - Google Patents
A kind of detection method and system of water supply line leakage Download PDFInfo
- Publication number
- CN109340586A CN109340586A CN201811311649.XA CN201811311649A CN109340586A CN 109340586 A CN109340586 A CN 109340586A CN 201811311649 A CN201811311649 A CN 201811311649A CN 109340586 A CN109340586 A CN 109340586A
- Authority
- CN
- China
- Prior art keywords
- vibration signal
- water supply
- supply line
- approximate entropy
- hilbert
- 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
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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The embodiment of the present invention provides the detection method and system of a kind of water supply line leakage.Wherein, method includes: to carry out Hilbert-Huang transform to the collected vibration signal of any collector for being arranged in water supply line periphery, to obtain the Hilbert marginal spectrum of the vibration signal；The approximate entropy of the Hilbert marginal spectrum is obtained, and is based on the approximate entropy, determines whether the water supply line is revealed.The embodiment of the present invention provides the detection method and system of a kind of water supply line leakage, by carrying out Hilbert-Huang transform to the collected vibration signal of any collector for being arranged in water supply line periphery, to obtain the Hilbert marginal spectrum of vibration signal, and then the approximate entropy of Hilbert marginal spectrum is obtained, to determine whether water supply line is revealed based on approximate entropy.It can guarantee that the validity and accuracy of detection reduce detection error to improve detection accuracy.
Description
Technical field
A kind of revealed the present embodiments relate to signal processing technology field more particularly to water supply line detection method and
System.
Background technique
City supply water pipeline due to the factors such as service phase is longer, dielectric corrosion and material aging influence inevitably
It leaks, since water supply line is usually embedded in underground, therefore, it is difficult to know whether water supply line is revealed, if sending out not in time
It now leaks, it will cause serious water resource waste.
Currently, related researcher has made intensive studies water supply line leak detection technology.Pertinent literature is first
Experimental study is expanded to water supply line leak source location technology first with relevant function method, is then had also been proposed a kind of based on experience
The water supply line leakage that mode decomposition (Empirical Mode Decomposition, EMD) and power feature extraction combine
Localization method.Leak position can be accurately positioned in both the above method, but is not particularly suited for leak detection.In addition, for supplying
The non-stationary property of waterpipe leakage signal, pertinent literature are proposed Hilbert-Huang transform (Hilbert-Huang
Transform, HHT) and the processing method that combines of wavelet packet.But the discomposing effect of wavelet packet and the time-frequency feature of signal and small
The selection of wave base has much relations, and when noise is relatively low, discomposing effect will be undesirable, and this method detection accuracy is low, error is big,
It is not suitable for leak detection yet.Therefore, water supply line leak detection problem becomes urgent problem to be solved.
Summary of the invention
The embodiment of the present invention provides the detection method and system of a kind of water supply line leakage, supplies in the prior art to solve
The defect that the detection accuracy of waterpipe leakage is low, error is big, improves detection accuracy, reduces detection error.
In a first aspect, the embodiment of the present invention provides a kind of detection method of water supply line leakage, comprising:
Hilbert-Huang transform is carried out to the collected vibration signal of any collector for being arranged in water supply line periphery, with
Obtain the Hilbert marginal spectrum of the vibration signal；
The approximate entropy of the Hilbert marginal spectrum is obtained, and is based on the approximate entropy, whether determines the water supply line
It reveals.
Second aspect, the embodiment of the present invention provide a kind of detection system of water supply line leakage, comprising:
Hilbert marginal spectrum obtains module, for the collected vibration of any collector to water supply line periphery is arranged in
Dynamic signal carries out Hilbert-Huang transform, to obtain the Hilbert marginal spectrum of the vibration signal；
Determination module is revealed, for obtaining the approximate entropy of the Hilbert marginal spectrum, and the approximate entropy is based on, determines
Whether the water supply line is revealed.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, including memory and processor, the processor and
The memory completes mutual communication by bus；The memory, which is stored with, to be referred to by the program that the processor executes
It enables, the processor calls described program instruction to be able to carry out above-mentioned method.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, the non-transient calculating
Machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute above-mentioned method.
The detection method and system of a kind of water supply line leakage provided in an embodiment of the present invention, by being arranged in water supplying pipe
The collected vibration signal of any collector on road periphery carries out Hilbert-Huang transform, to obtain the Hilbert of vibration signal
Marginal spectrum, and then the approximate entropy of Hilbert marginal spectrum is obtained, to determine whether water supply line is revealed based on approximate entropy, energy
The enough validity and accuracy for guaranteeing detection reduces detection error to improve detection accuracy.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of detection method flow chart of water supply line leakage provided in an embodiment of the present invention；
Fig. 2 is a kind of environmental simulation schematic diagram comprising water supply line and collector provided in an embodiment of the present invention；
Fig. 3 is a kind of Hilbert limit spectrogram of vibration signal provided in an embodiment of the present invention；
Fig. 4 is a kind of time domain waveform of vibration signal provided in an embodiment of the present invention；
Fig. 5 is a kind of power spectrum chart of vibration signal provided in an embodiment of the present invention；
Fig. 6 is a kind of IMF waveform diagram that vibration signal obtains after EMD is decomposed provided in an embodiment of the present invention；
Fig. 7 is a kind of power spectrum chart for the IMF that vibration signal obtains after EMD is decomposed provided in an embodiment of the present invention；
Fig. 8 is the time domain waveform and spectrogram of the vibration signal under a kind of different scenes provided in an embodiment of the present invention；
Fig. 9 is the approximation of the Hilbert marginal spectrum of the vibration signal under a kind of different scenes provided in an embodiment of the present invention
Entropy diagram；
Figure 10 is a kind of structural schematic diagram of the detection system of water supply line leakage provided in an embodiment of the present invention；
Figure 11 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of detection method flow chart of water supply line leakage provided in an embodiment of the present invention, as shown in Figure 1, should
Method includes:
Step 101, Hilbert is carried out to the collected vibration signal of any collector for being arranged in water supply line periphery
Huang, to obtain the Hilbert marginal spectrum of vibration signal.
Step 102, the approximate entropy of Hilbert marginal spectrum is obtained, and is based on approximate entropy, determines whether water supply line occurs
Leakage.
The embodiment of the present invention is specifically described in conjunction with Fig. 2.Fig. 2 is provided in an embodiment of the present invention a kind of comprising supplying water
The environmental simulation schematic diagram of pipeline and collector, as shown in Fig. 2, water supply line is located at subsurface, collector is integrated in intelligent water
In table, it is normally at ground or more.Since water supply line is located at subsurface, it is difficult to know whether water supply line is revealed, because
This, needs to acquire the signal in the environment comprising the water supply line using collector, here, by the environment comprising the water supply line
In signal be known as vibration signal, with according to vibration signal determine water supply line whether reveal.It should be noted that for
For one water supply line, multiple collectors can be arranged on the ground for it, but in embodiments of the present invention, only with therein
It is illustrated for one collector.
When water supply line leaks, due to the effect of water supply line external and internal pressure, the interior high pressure sprayed of water supply line
Water can rub with media such as water supply line breach and surrounding soils, thus generate different frequency oscillator signal (namely
Leakage signal).Further, since acquisition environment it is more complicated, collector actual acquisition to vibration signal not only include leakage letter
Number, it is also contaminated with random disturbances noise signal (namely noise signal), is generally regarded as the additive combination of the two.Collector is real
The collected vibration signal x (t) in border may be expressed as:
Wherein, aiAnd wiI-th of amplitude and frequency of oscillation are respectively indicated, r indicates leakage point to the distance of collector, and v is to let out
Spread speed of the leakage signal in water supply line, n (t) are random disturbances noise signal.Vibration signal x (t) be leakage signal with
The combination of noise signal, belongs to nonstationary random signal.
For step 101, Hilbert-Huang transform is carried out to vibration signal, to obtain the Hilbert limit of vibration signal
Spectrum.It should be noted that if water supply line is revealed, then the collected vibration signal of collector is that leakage signal and noise are believed
Number superposed signal, if water supply line No leakage, the collected vibration signal of collector is only noise signal.
Wherein, two parts are converted for empirical mode decomposition EMD and Hilbert Hilbert for Hilbert-Huang transform HHT points.
The essence of EMD is the time scale feature based on signal itself, without select basic function can sophisticated signal according to frequency by
It is high to Low to be successively decomposed into several intrinsic modal components (intrinsic mode function, IMF) and a residual components.
The characteristics of EMD is linearisation and tranquilization processing can be carried out to non-linear, non-stationary signal, and retain during decomposition
The characteristic of signal itself.Hilbert converts the limitation for fundamentally breaching conventional Fourier transform theory, can be by converting
The Hilbert time-frequency spectrum (namely Hilbert spectrum) and Hilbert marginal spectrum (namely Hilbert limit frequency spectrum) arrived is seen
Distribution situation of the amplitude of signal in frequency domain is examined, it is real to be particularly suitable for the processing present invention for the essence of more deep understanding signal
Apply this kind of nonstationary random signal of vibration signal in example.
For step 102, the approximate entropy of Hilbert marginal spectrum is obtained, to determine whether water supply line is sent out based on approximate entropy
Raw leakage.It should be noted that determining whether water supply line occurs leakage and specifically refer to based on approximate entropy: based on approximate entropy, sentencing
The superposed signal for determining vibration signal for leakage signal and noise signal is also merely noise signal.If vibration signal is leakage signal
With the superposed signal of noise signal, then determine that water supply line is revealed, if vibration signal is only noise signal, determines to supply water
Pipeline is without leakage.
Wherein, approximate entropy (Approximate Entropy) describes a possibility that generating new model when dimension variation
Size can fully describe signal complexity, be the predictability for indicating last data to latter data with a nonnegative number, with
The repeatability of quantitative description sequence, entropy is bigger, and showing sequence more has randomness or scrambling, and complexity is higher；Entropy
It is worth smaller, complexity is with regard to smaller.
Method provided in an embodiment of the present invention passes through the collected vibration of any collector to water supply line periphery is arranged in
Dynamic signal carries out Hilbert-Huang transform, to obtain the Hilbert marginal spectrum of vibration signal, and then obtains Hilbert limit
The approximate entropy of spectrum, to determine whether water supply line is revealed based on approximate entropy.This method is a kind of based on HHT and approximate entropy phase
In conjunction with the detection method revealed of water supply line, can guarantee the validity and accuracy of detection, to improve detection accuracy, drop
Low detection error.
On the basis of the various embodiments described above, the embodiment of the present invention, which will be explained in detail, carries out Martin Hilb to vibration signal x (t)
The process of special Huang:
Step 1011: determining all extreme points in vibration signal x (t), be sequentially connected vibration letter with cubic spline function
The maximum point and minimum point of number x (t), obtains lower envelope thereon, takes the average value of the two envelopes, obtain m1(t), from
M is isolated in vibration signal x (t)1(t), h is obtained1(t):
h1(t)=x (t)-m1(t) (2)
If h1(t) it is unsatisfactory for the primary condition of IMF, by h1(t) it is used as initial data, repeats the above process, obtains:
h11(t)=h1(t)-m11(t) (3)
Wherein, m11It (t) is h1(t) average value of upper lower envelope.If h11(t) it is still unsatisfactory for, repeats above procedure k times,
Until h1k(t) until the condition for meeting IMF, remember c1(t)=h1k(t), by c1(t) it is used as one-component.
Step 1012: by c1(t) it separates, obtains from vibration signal x (t):
r1(t)=x (t)-c1(t) (4)
By r1(t) as new initial data, above procedure is repeated, second component c can be obtained2(t), it is repeated in
Go down until meeting set termination condition or rn(t) until cannot decomposing again.
Step 1013: original analyzed vibration signal x (t) may be expressed as:
In formula (5), i indicates the decomposition order of IMF；Component c1(t), c2(t) ... ..., cn(t) vibration letter has been separately included
The IMF of number x (t) different frequency sections from high to low；rn(t) it is residual components, is able to reflect the overall variation of vibration signal x (t)
Trend.
Step 1014: Hilbert transformation being made to each IMF in formula (4), and by tectonic knot function, can be shaken
Another form of expression of dynamic signal x (t):
Wherein, Re [] indicates to take the real part of vibration signal, ai(t) and fi(t) respectively indicate what tectonic knot function obtained
Amplitude function and phase function.Vibration signal x (t) is written as the function of Time And Frequency by formula (6), can accurately reflect vibration
The amplitude of signal x (t) with the changing rule of frequency, referred to as Hilbert time-frequency spectrum, is usually indicated with H (w, t) at any time, it may be assumed that
Step 1015: Integral Processing being made to formula (7), obtains Hilbert marginal spectrum are as follows:
In formula (8), T indicates the duration of signal.H (w) illustrates the cumulative of data length in whole from the statistical significance
Amplitude accurately reflects the changing rule of the amplitude of signal over the entire frequency, thus it is random to be particularly suitable for processing non-stationary
Signal.
On the basis of the various embodiments described above, the approximate entropy of the Hilbert marginal spectrum is obtained, further comprises:
Step 1021, effective frequency range of the Hilbert marginal spectrum is determined.
Step 1022, approximate entropy is sought to the Hilbert marginal spectrum in effective frequency range, using as the Martin Hilb
The approximate entropy of special marginal spectrum.
Specifically, for step 1021, it should be noted that the abscissa of Hilbert marginal spectrum is frequency, ordinate
For amplitude, effective frequency range refers to one section of frequency range in entire frequency range.For comprising leakage signal and noise signal
Vibration signal and only comprising for both vibration signals of the vibration signal of noise signal, two kinds of vibration signals are in effective frequency range
Interior amplitude is different.
For step 1022, since amplitude of two kinds of vibration signals in effective frequency range is different, two vibration signals are having
The approximate entropy for imitating hilbert spectrum in frequency range is also different.Therefore, Hilbert side of the vibration signal in effective frequency range can be sought
The approximate entropy of border spectrum, to determine whether water supply line is revealed according to approximate entropy.
The finding process of following pairing approximation entropy is further described.Assuming that given length is one-dimensional sequence { u (i), the i of N
=1 ... N }, approximate entropy is specifically defined and algorithmic procedure is as follows:
S1: m dimensional vector X is reconstructed according to original series u (i)i。
Xi=u (i), u (i+1) ..., u (i+m-1) }, i=1,2 ..., N-m+1 (9)
S2: any vector X is calculatediWith its complement vector XjThe distance between (j=1,2 ..., N-m+1, j ≠ i) dij。
dij=max | u (i+j)-u (j+k) |, k=0,1 ..., m-1 (10)
That is the maximum value of absolute difference is exactly the distance between two vectors between two vector corresponding elements.
S3: given threshold value r, for each vector Xi, count corresponding dijLess than the number of r and this number and total distance
The ratio of N-m+1, is denoted as
S4: right using natural logrithm e the bottom of asLogarithm is taken, then is averaged to all i, φ is obtainedm(r)。
S5: increasing by 1 for m, repeats above step and obtains φm+1(r)。
S6: approximate entropy ApEn (m, r) is finally found out are as follows:
ApEn (m, r)=φm+1(r)-φm(r) (12)
The size of approximate entropy and vector dimension m and threshold value r are related, and usual m takes desirable 0.1~0.25 times of the STD of 2, r
(standard deviation that STD is sequence), approximate entropy has more reasonable statistical property at this time.It can be seen that by analyzing above, approximate entropy energy
The complexity of signal sequence is enough characterized, approximate entropy is bigger, and complexity is higher.
On the basis of the various embodiments described above, it is based on the approximate entropy, determines whether the water supply line is revealed, into
One step includes:
The approximate entropy is compared with default decision threshold, determines whether the water supply line is sent out according to comparison result
Raw leakage.
Specifically, in embodiments of the present invention, by the way that approximate entropy to be compared with default decision threshold, to determine to supply water
Whether pipeline is revealed.The acquisition of default decision threshold is illustrated below:
Obtain multiple vibration signal samples, wherein vibration signal sample can be the superposition of leakage signal and noise signal
Signal, or be only noise signal.It should be noted that having known that its is corresponding for each vibration signal sample
Whether water supply line leaks.
For each vibration signal sample, the corresponding approximate entropy of vibration signal sample is obtained, to multiple vibration signal samples
This corresponding multiple approximate entropy is counted, to determine the value of default decision threshold.For example, to multiple vibration signal samples pair
The multiple approximate entropies answered are counted to obtain: being the more of the superposed signal of leakage signal and noise signal for vibration signal sample
A vibration signal sample, corresponding multiple approximate entropies are respectively positioned between 1.92~2.07, and are only to make an uproar for vibration signal sample
Multiple vibration signal samples of acoustical signal, corresponding multiple approximate entropies are respectively positioned between 2.11~2.16, then can by 2.07~
Any value between 2.11 is as default decision threshold.For example, by 2.09 as default decision threshold, to water supply line into
When row leak detection, as long as approximate entropy less than 2.09, determines that water supply line is revealed.It should be noted that the present invention is real
Apply the value in example and be merely illustrative value, specific value according to the material and size of environment, water supply line it is different without
Together, the embodiment of the present invention is not especially limited above-mentioned value.
On the basis of the various embodiments described above, this method further include:
The approximate entropy is compared with default approximate entropy section, the default approximate entropy section that the approximate entropy is fallen into
Leak degree grade of the corresponding leak degree grade as the water supply line.
Specifically, in embodiments of the present invention, by the way that approximate entropy to be compared with default approximate entropy section, to obtain confession
The leak degree grade of waterpipe.The acquisition in default approximate entropy section is illustrated below:
Obtain multiple vibration signal sample sets, for example, No leakage vibration signal sample set, osculum reveal vibration signal
Sample set, middle mouth leakage vibration signal sample set and big mouth reveal vibration signal sample set.It should be noted that No leakage vibrates
Sample of signal collection represents water supply line No leakage, and osculum leakage vibration signal sample set represents water supply line and slightly reveals, middle mouth
Leakage vibration signal sample set represents the leakage of water supply line moderate, and big mouth leakage vibration signal sample set represents water supply line severe
Leakage.It should be noted that having known the leak degree etc. of its corresponding water supply line for each vibration signal sample
Grade.
For each vibration signal sample set, determine that each vibration signal sample is corresponding close in the vibration signal sample set
It is counted like entropy, and to the corresponding multiple approximate entropies of vibration signal samples multiple in the vibration signal sample set.If most finish-unification
Meter obtains: the corresponding approximate entropy of No leakage vibration signal sample set is 2.11~2.16, and osculum reveals vibration signal sample set pair
The approximate entropy answered is 2.02~2.07, the corresponding approximate entropy of middle mouth leakage vibration signal sample set is 1.97~2.02, great Kou is let out
Revealing the corresponding approximate entropy of vibration signal sample set is 1.92~1.97.So, it if the approximate entropy of vibration signal is 1.95, falls into
In 1.92~1.97, then determine that water supply line severe is revealed.It should be noted that the value in the embodiment of the present invention is merely illustrative
Property value, specific value is different according to the difference of the material and size of environment, water supply line, and the embodiment of the present invention is to above-mentioned
Value is not especially limited.
On the basis of the various embodiments described above, determines effective frequency range of the Hilbert marginal spectrum, further comprises:
Step 10211, the first vibration signal sample set and the second vibration signal sample set are obtained, wherein first vibration
Each vibration signal sample that dynamic sample of signal is concentrated is the superposed signal of leakage signal and noise signal, second vibration
Each vibration signal sample that sample of signal is concentrated is noise signal.
Step 10212, be based on the first vibration signal sample set and the second vibration signal sample set, determine described in
Effective frequency range of Hilbert marginal spectrum.
Specifically, it in conjunction with Fig. 3, (is hereinafter referred to as shaken with only one vibration signal sample in the first vibration signal sample set
Dynamic signal 1), only one vibration signal sample (hereinafter referred to as vibration signal 2) comes to this hair in the second vibration signal sample set
Bright embodiment is illustrated.
Fig. 3 is a kind of Hilbert limit spectrogram of vibration signal provided in an embodiment of the present invention, as shown in figure 3, spectral line 1
For the Hilbert limit spectrogram of vibration signal 1, vibration signal 1 is the superposed signal comprising leakage signal and noise signal, spectrum
Line 2 is the Hilbert limit spectrogram of vibration signal 2, and vibration signal 2 is noise signal.It compares spectral line 1 and spectral line 2 can be obvious
Find out, spectral line 1 has more apparent energy accumulating phenomenon in the frequency range of 450~1000Hz range, and spectral line 2 is in entire frequency range
On it is more steady.It should be noted that energy accumulating phenomenon refers to that amplitude of the signal in a certain frequency range is apparently higher than the frequency
Section outside signal amplitude the phenomenon that.Therefore, can using 450~1000Hz as effective frequency range of vibration signal, in effective frequency range,
Vibration signal 1 and vibration signal 2 can be distinguished.It should be noted that 450~1000Hz is only an illustrative frequency
Section, with environment, the difference of water supply line material and size, the range of effective frequency range can also may change therewith, not right herein
The range of effective frequency range is specifically limited.
Since the spectral line of vibration signal 1 and vibration signal 2 in 450~1000Hz frequency range is different, vibration signal 1
It is also different from approximate entropy of the vibration signal 2 in 450~1000Hz frequency range in the approximate entropy in 450~1000Hz frequency range.Therefore,
The approximate entropy of Hilbert marginal spectrum of the vibration signal in effective frequency range can be sought, to determine water supply line according to approximate entropy
Whether reveal.
On the basis of the various embodiments described above, the embodiment of the present invention carries out vibration signal to using Hilbert-Huang transform
It analyzes and then determines that the reason of whether water supply line leaks is illustrated, that is, the embodiment of the present invention provides reason for above-described embodiment
By support:
Fig. 4 is a kind of time domain waveform of vibration signal provided in an embodiment of the present invention, wherein (a) is only comprising noise
The time domain waveform part of the vibration signal of signal is (b) time domain waveform of the vibration signal comprising leakage signal and noise signal
Part, the time domain waveform are generated according to the measured data of one group of osculum leakage signal of plastic conduit experimental system acquisition
, wherein sample frequency is 5000Hz, when acquisition a length of 1s.
Fig. 5 is a kind of power spectrum chart of vibration signal provided in an embodiment of the present invention, wherein (a) is the vibration of Fig. 4 (a)
The power spectrum of signal is (b) power spectrum of the vibration signal of Fig. 4 (b), from power spectrum in shape from the point of view of, the two exists certain
Similitude and no regularity, therefore more difficult directly two kinds of vibration signals are distinguished according to power spectrum.
Fig. 6 is a kind of IMF waveform diagram that vibration signal obtains after EMD is decomposed provided in an embodiment of the present invention, is needed
Waveform bright, that 8 waveforms are 8 IMF for obtaining the vibration signal in Fig. 4 (b) after EMD is decomposed shown in Fig. 6,
Wherein IMF1~IMF8 is sequentially distributed by high frequency to low frequency.
Fig. 7 is a kind of power spectrum chart for the IMF that vibration signal obtains after EMD is decomposed provided in an embodiment of the present invention, is needed
It is noted that Fig. 7 shows the power spectrum of preceding 4 IMF in Fig. 6, wherein IMF1 is mainly noise signal, and leakage signal master
It is distributed on IMF2.
Fig. 3 is a kind of Hilbert limit spectrogram of vibration signal provided in an embodiment of the present invention, compares Fig. 5 and Fig. 3 can
Know, amplitude resolution of the Hilbert marginal spectrum in terms of display frequency characteristic is apparently higher than power spectrum.Fig. 3 is observed it is found that vibration
The Hilbert marginal spectrum of dynamic signal 1 (including leakage signal and noise signal) has more bright in the frequency range of 450~1000Hz
Aobvious energy accumulating phenomenon, and the Hilbert marginal spectrum of vibration signal 2 (only include noise signal) is over the entire frequency more
It steadily, can be using this characteristic as the foundation for distinguishing two kinds of vibration signals.
Fig. 8 is the time domain waveform and spectrogram of the vibration signal under a kind of different scenes provided in an embodiment of the present invention, is needed
It is noted that the vibration signal is the superposed signal comprising leakage signal and noise signal.Wherein, (a), (c) and (e) difference
For the time domain waveform part of the vibration signal under osculum water leakage situation, under middle mouth water leakage situation and under big mouth water leakage situation,
(b), (d) and (f) is respectively the vibration signal under osculum water leakage situation, under middle mouth water leakage situation and under big mouth water leakage situation
Power spectral part.According to power spectrumanalysis, the case where leakage for big mouth, since noise is bigger, the energy base of vibration signal
Originally about 450~1000Hz is concentrated on, and for osculum and middle mouth water leakage situation, since signal-to-noise ratio is relatively small, vibration signal
Energy do not concentrate, leakage signal therein is submerged in noise signal substantially, and therefore, it is difficult to two kinds are distinguished according to power spectrum
Vibration signal.
Fig. 9 is the approximation of the Hilbert marginal spectrum of the vibration signal under a kind of different scenes provided in an embodiment of the present invention
Entropy diagram, it should be noted that (a), (b) and (c) respectively illustrate under osculum water leakage situation, under middle mouth water leakage situation and big mouth
The value condition of the approximate entropy of the Hilbert marginal spectrum of multiple groups vibration signal under water leakage situation.As control, for (a),
(b) and (c) in each section, by only include noise signal vibration signal Hilbert marginal spectrum approximate entropy also into
Row display.Each scene has taken 40 groups of vibration signal samples (each 20 groups of two kinds of vibration signals), will comprising leakage signal and
Approximate entropy curve composed by the vibration signal sample of noise signal is known as first kind curve, will only include the vibration of noise signal
Approximate entropy curve composed by sample of signal is known as the second class curve.It can be seen in figure 9 that the second class curve characterized it is close
The approximate entropy characterized like the first kind curve in the case of entropy and three kinds of osculum leak, middle mouth leak and big mouth leak is not
It together, therefore, can be using approximate entropy as the standard for distinguishing two kinds of vibration signals.
By testing the vibration signal under the collected only vibration signal comprising noise signal and three cases above
Each 40 groups of sample, detection method provided in an embodiment of the present invention is tested, test result is shown in Table 1.Table 1 is let out for water supply line
The testing result table of leakage, as shown in Table 1, the detection method pair provided in an embodiment of the present invention combined based on HHT and approximate entropy
There is preferable practicability in the leak detection of water supply line, detection accuracy has reached 95% or more.
The testing result table of 1 water supply line of table leakage
Figure 10 is a kind of structural schematic diagram of the detection system of water supply line leakage provided in an embodiment of the present invention, such as Figure 10
Shown, which includes:
Hilbert marginal spectrum obtains module 1001, for collecting to any collector for being arranged in water supply line periphery
Vibration signal carry out Hilbert-Huang transform, to obtain the Hilbert marginal spectrum of the vibration signal；Reveal determination module
1002, for obtaining the approximate entropy of the Hilbert marginal spectrum, and it is based on the approximate entropy, whether determines the water supply line
It reveals.
Specifically, Hilbert marginal spectrum obtains module 1001 and carries out Hilbert-Huang transform to vibration signal, to obtain
The Hilbert marginal spectrum of vibration signal.It should be noted that if water supply line is revealed, then the collected vibration of collector
Signal is the superposed signal of leakage signal and noise signal, if water supply line No leakage, the collected vibration signal of collector
Only noise signal.The approximate entropy that determination module 1002 obtains Hilbert marginal spectrum is revealed, to determine to supply water based on approximate entropy
Whether pipeline is revealed.It should be noted that determining whether water supply line occurs leakage and specifically refer to based on approximate entropy: being based on
Approximate entropy determines that vibration signal is also merely noise signal for the superposed signal of leakage signal and noise signal.If vibration signal
For the superposed signal of leakage signal and noise signal, then determine that water supply line is revealed, if vibration signal is only noise signal,
Then determine water supply line without leakage.
System provided in an embodiment of the present invention, specifically executes above-mentioned each method embodiment process, please specifically be detailed in above-mentioned each
The content of embodiment of the method, details are not described herein again.System provided in an embodiment of the present invention, by being arranged in water supply line periphery
The collected vibration signal of any collector carry out Hilbert-Huang transform, to obtain the Hilbert limit of vibration signal
Spectrum, and then the approximate entropy of Hilbert marginal spectrum is obtained, to determine whether water supply line is revealed based on approximate entropy.The system
For a kind of detection system of water supply line leakage combined based on HHT and approximate entropy, it can guarantee the validity and standard of detection
True property reduces detection error to improve detection accuracy.
Figure 11 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 11, the electricity
Sub- equipment may include: processor (processor) 1101, communication interface (Communications Interface) 1102,
Memory (memory) 1103 and communication bus 1104, wherein processor 1101, communication interface 1102, memory 1103 pass through
Communication bus 1104 completes mutual communication.Processor 1101, which can call, to be stored on memory 1103 and can be in processor
The computer program run on 1101, the method to execute the various embodiments described above offer, for example, to being arranged in water supply line
The collected vibration signal of any collector on periphery carries out Hilbert-Huang transform, to obtain the Martin Hilb of the vibration signal
Special marginal spectrum；The approximate entropy of the Hilbert marginal spectrum is obtained, and is based on the approximate entropy, whether determines the water supply line
It reveals.
In addition, the logical order in above-mentioned memory 1103 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words
It can be embodied in the form of software products, which is stored in a storage medium, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention respectively
The all or part of the steps of a embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the transmission method of the various embodiments described above offer when being executed by processor, for example, to cloth
The collected vibration signal of any collector for being placed in water supply line periphery carries out Hilbert-Huang transform, to obtain the vibration
The Hilbert marginal spectrum of signal；The approximate entropy of the Hilbert marginal spectrum is obtained, and is based on the approximate entropy, described in judgement
Whether water supply line is revealed.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules realize the purpose of the embodiment of the present invention.Those of ordinary skill in the art are not paying wound
In the case where the labour for the property made, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (8)
1. a kind of detection method of water supply line leakage characterized by comprising
Hilbert-Huang transform is carried out to the collected vibration signal of any collector for being arranged in water supply line periphery, to obtain
The Hilbert marginal spectrum of the vibration signal；
The approximate entropy of the Hilbert marginal spectrum is obtained, and is based on the approximate entropy, determines whether the water supply line occurs
Leakage.
2. the method according to claim 1, wherein the approximate entropy of the Hilbert marginal spectrum is obtained, into one
Step includes:
Determine effective frequency range of the Hilbert marginal spectrum；
Approximate entropy is sought to the Hilbert marginal spectrum in effective frequency range, using the approximation as the Hilbert marginal spectrum
Entropy.
3. whether determining the water supply line the method according to claim 1, wherein being based on the approximate entropy
It reveals, further comprises:
The approximate entropy is compared with default decision threshold, determines whether the water supply line is let out according to comparison result
Dew.
4. the method according to claim 1, wherein further include:
The approximate entropy is compared with default approximate entropy section, the default approximate entropy section institute that the approximate entropy is fallen into is right
Answer leak degree grade of the leak degree grade as the water supply line.
5. according to the method described in claim 2, it is characterized in that, determine effective frequency range of the Hilbert marginal spectrum, into
One step includes:
Obtain the first vibration signal sample set and the second vibration signal sample set, wherein in the first vibration signal sample set
Each vibration signal sample be leakage signal and noise signal superposed signal, in the second vibration signal sample set
Each vibration signal sample is noise signal；
Based on the first vibration signal sample set and the second vibration signal sample set, the Hilbert marginal spectrum is determined
Effective frequency range.
6. a kind of detection system of water supply line leakage characterized by comprising
Hilbert marginal spectrum obtains module, for believing the collected vibration of any collector for being arranged in water supply line periphery
Number carry out Hilbert-Huang transform, to obtain the Hilbert marginal spectrum of the vibration signal；
Determination module is revealed, for obtaining the approximate entropy of the Hilbert marginal spectrum, and the approximate entropy is based on, described in judgement
Whether water supply line is revealed.
7. a kind of electronic equipment, which is characterized in that including memory and processor, the processor and the memory pass through always
Line completes mutual communication；The memory is stored with the program instruction that can be executed by the processor, the processor tune
Method as claimed in claim 1 to 5 is able to carry out with described program instruction.
8. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer program is stored up, the computer program makes the computer execute method as claimed in claim 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811311649.XA CN109340586B (en) | 2018-11-06 | 2018-11-06 | Method and system for detecting leakage of water supply pipeline |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811311649.XA CN109340586B (en) | 2018-11-06 | 2018-11-06 | Method and system for detecting leakage of water supply pipeline |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109340586A true CN109340586A (en) | 2019-02-15 |
| CN109340586B CN109340586B (en) | 2020-07-28 |
Family
ID=65313538
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811311649.XA Active CN109340586B (en) | 2018-11-06 | 2018-11-06 | Method and system for detecting leakage of water supply pipeline |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109340586B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109931506A (en) * | 2019-03-14 | 2019-06-25 | 三川智慧科技股份有限公司 | Pipeline leakage detection method and device |
| CN111188999A (en) * | 2020-03-08 | 2020-05-22 | 中信建筑设计研究总院有限公司 | Water supply pipeline leakage detection method and system |
| CN111609324A (en) * | 2020-05-29 | 2020-09-01 | 北京化工大学 | Pipeline leakage detection method and device |
| CN112728427A (en) * | 2020-12-29 | 2021-04-30 | 中冶南方城市建设工程技术有限公司 | Method and system for detecting leakage of water supply pipeline |
| CN113217826A (en) * | 2021-06-03 | 2021-08-06 | 邯郸市水利水电勘测设计研究院 | Pipeline water supply pipe network leakage alarm control method, device and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621449A (en) * | 2012-03-16 | 2012-08-01 | 河南理工大学 | Single phase ground fault section locating method in small current grounding system |
| CN104814735A (en) * | 2015-05-22 | 2015-08-05 | 京东方科技集团股份有限公司 | Method and device for judging whether brain is tired |
| 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 |
| CN105758634A (en) * | 2016-02-26 | 2016-07-13 | 中国航空工业集团公司上海航空测控技术研究所 | Fault detection method applied to helicopter drive system vibration signals |
| CN106361327A (en) * | 2016-09-21 | 2017-02-01 | 广州视源电子科技股份有限公司 | Method and system for detecting waking state in sleep state analysis |
| CN108488637A (en) * | 2018-03-22 | 2018-09-04 | 哈尔滨工业大学 | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle |
-
2018
- 2018-11-06 CN CN201811311649.XA patent/CN109340586B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621449A (en) * | 2012-03-16 | 2012-08-01 | 河南理工大学 | Single phase ground fault section locating method in small current grounding system |
| CN104814735A (en) * | 2015-05-22 | 2015-08-05 | 京东方科技集团股份有限公司 | Method and device for judging whether brain is tired |
| 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 |
| CN105758634A (en) * | 2016-02-26 | 2016-07-13 | 中国航空工业集团公司上海航空测控技术研究所 | Fault detection method applied to helicopter drive system vibration signals |
| CN106361327A (en) * | 2016-09-21 | 2017-02-01 | 广州视源电子科技股份有限公司 | Method and system for detecting waking state in sleep state analysis |
| CN108488637A (en) * | 2018-03-22 | 2018-09-04 | 哈尔滨工业大学 | A kind of water supply line leakage discrimination method based on auto-correlation and approximate Entropy principle |
Non-Patent Citations (5)
| Title |
|---|
| 刘翠伟等: "基于希尔伯特黄变换的输气管道泄漏音波时频特性分析", 《振动与冲击》 * |
| 刘贵杰等: "基于HHT 的管道阀门内漏声发射检测研究", 《振动与冲击》 * |
| 杨鹏圆等: "Ｈｉｌｂｅｒｔ－Ｈｕａｎｇ变换在情感脑电特征提取中的应用", 《计算机工程与设计》 * |
| 林海波等: "基于改进HHT和样本熵的脑电信号特征提取", 《计算机工程与设计》 * |
| 胥永刚等: "近似熵及其在机械设备故障诊断中的应用", 《信息与控制》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109931506A (en) * | 2019-03-14 | 2019-06-25 | 三川智慧科技股份有限公司 | Pipeline leakage detection method and device |
| CN111188999A (en) * | 2020-03-08 | 2020-05-22 | 中信建筑设计研究总院有限公司 | Water supply pipeline leakage detection method and system |
| CN111609324A (en) * | 2020-05-29 | 2020-09-01 | 北京化工大学 | Pipeline leakage detection method and device |
| CN112728427A (en) * | 2020-12-29 | 2021-04-30 | 中冶南方城市建设工程技术有限公司 | Method and system for detecting leakage of water supply pipeline |
| CN113217826A (en) * | 2021-06-03 | 2021-08-06 | 邯郸市水利水电勘测设计研究院 | Pipeline water supply pipe network leakage alarm control method, device and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109340586B (en) | 2020-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109340586A (en) | A kind of detection method and system of water supply line leakage | |
| CN108600135B (en) | Method for identifying signal modulation mode | |
| Das et al. | Marine vessel classification based on passive sonar data: the cepstrum‐based approach | |
| CN109931506A (en) | Pipeline leakage detection method and device | |
| CN108229382A (en) | Vibration signal characteristics extracting method, device, storage medium and computer equipment | |
| CN109145961A (en) | A kind of mode identification method and system of unstructured Partial Discharge Data | |
| CN104807534B (en) | Equipment eigentone self study recognition methods based on on-line vibration data | |
| Pei et al. | Fourier analysis of the fitness landscape for evolutionary search acceleration | |
| CN109409442A (en) | Convolutional neural networks model selection method in transfer learning | |
| CN115795282B (en) | Shock tube dynamic pressure reconstruction method and device, electronic equipment and storage medium | |
| CN115426002A (en) | Frequency hopping signal detection and parameter estimation method and system based on time-frequency analysis | |
| Boudart et al. | Machine learning algorithm for minute-long burst searches | |
| CN109410178A (en) | A kind of workpiece crack detection method and system | |
| CN116861221A (en) | Underdetermined working mode parameter identification method, device, equipment and medium | |
| Wang et al. | Wavelet transform‐based feature extraction for detection and classification of disturbances in an islanded micro‐grid | |
| CN114168586A (en) | Abnormal point detection method and device | |
| US10605842B2 (en) | Noise spectrum analysis for electronic device | |
| CN110377927B (en) | Pump station unit rotor state monitoring method based on MATLAB simulation | |
| CN116502051A (en) | Submarine cable local defect identification method and device | |
| CN108419199A (en) | Fault detection method, device and the equipment of acoustic signals, readable medium | |
| CN109002489B (en) | Data storage method and data storage device of wind generating set | |
| CN106645856B (en) | Digital oscilloscope abnormal signal detection method and system based on singular spectrum entropy | |
| CN109654383A (en) | A kind of leak degree of water supply line determines method and system | |
| Tsonis et al. | Searching for determinism in observed data: a review of the issues involved | |
| CN115096586A (en) | Fault diagnosis method, fault diagnosis device, storage medium and electronic equipment |
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 |