CN108050397B - Layering based on optical fiber source signal is sequential than pipe leakage monitoring method and system - Google Patents
Layering based on optical fiber source signal is sequential than pipe leakage monitoring method and system Download PDFInfo
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- 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
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Abstract
A kind of pipe leakage monitoring method and system being layered sequential ratio based on optical fiber source signal of the invention, method include: the central wavelength data of the optical fiber of real-time acquisition standard fiber base group and the transmission of detection fiber base group；Collected data are subjected to demodulation and obtain environmental data and detection data；Environmental data after demodulation is analyzed, ambient compensation judgement is carried out using sequential ratio method and is examined；Compensated detection data is analyzed, sequential ratio method is improved using the source signal construction impact factor of detection base group and carries out pipeline leakage diagnosis inspection；Concurrently deliver newspaper police whether judgement leakage.The present invention separates environmental datas and detection data by creating 2 kinds of different optical fiber base groups, and the accurate environment that removes influences caused false alarm, uses helical structure in base group, installation is facilitated to be laid with, prevent the asynchronous interference of base group inner fiber generation.It detects base group to detect by multi-source, improves system operation sensitivity and accuracy, provide warning function by stretching, shaking variation.
Description
Technical field
The present invention relates to detection method technical fields inside pipeline networking, and in particular to the layering based on optical fiber source signal
It is sequential than pipe leakage monitoring method and system.
Background technique
With China's expanding economy, the demand of product oil is increasingly increased, however, with pipeline self-inflicted injury and
Human factor is destroyed, and pipe leakage accident is caused frequently to occur, and causes the serious pollution and the heavy losses of economy of environment.Not only
Energy waste, economic loss, environmental pollution are caused, and personal safety can be jeopardized, or even cause catastrophic failure.Therefore, right
Oil-gas pipeline carries out real time on-line monitoring, carries out alarm accurately and timely to leakage accident, and accurately estimate the position of leakage point
It sets and has great importance.There are many kinds of existing pipeline leakage detection methods, such as acoustic wave detection, pressure gradient method, negative pressure
Wave method etc..Wherein, the disadvantages of traditional pipeline leakage detection method has forecast not in time, and sensitivity is low and rate of false alarm is high, and
And leakage lesser for slow and flow is also easy to produce and fails to report.
Summary of the invention
It is sequential than pipe leakage monitoring system and method that present invention implementation provides a kind of layering based on optical fiber source signal,
Environment, which can effectively be removed, influences caused false alarm, effectively prevent external disturbance, system runs sensitivity and accuracy is high.
It is sequential than pipe leakage monitoring method, including following step that the present invention provides a kind of layering based on optical fiber source signal
It is rapid:
Step 1: the central wavelength signal of acquisition standard fiber base group and detection fiber base group in real time, standard fiber base group packet
It includes: three kinds of temperature, humidity and density environmental signal sources；Detection fiber base group includes: three kinds of pressure, vibration and stretching characteristic signals
Source；Use different update modes to them respectively according to the different role of two optical fiber base groups: standard fiber base group is mainly adopted
The value for collecting pipeline ambient conditions, to compensate artificial equipment operation or natural climate variation bring changes in environmental conditions,
Variation update mode is taken, i.e., is updated when data value changes；Detection fiber base group mainly acquires the operating status of pipeline,
To reflect the health condition of pipeline internal medium real-time status and pipeline itself, more using real-time update mode, i.e. sampling time
It is new primary；
Step 2: the central wavelength data of collected two optical fiber base group are demodulated to obtain scene temperature, humidity
With three kinds of environmental datas of density and pressure, vibration and stretch three kinds of detection datas, and by data normalization；
Step 3: the environmental data after selecting demodulated is analyzed, and is carried out environmental change judgement using sequential ratio method, is given
Standard fiber base group data change the value for leading to false alarm out, choose threshold value and judge whether to need to re-start compensation calculation,
If needing not compensate for calculating, step 5 is arrived, otherwise arrives step 4, this method reduces the load of environmental data compensation calculation, side by side
Except false alarm caused by environmental change；
Step 4: the environmental data for choosing update compensates calculating to detection data, obtains the detection that removal environment influences
Data；
Step 5: choosing compensated detection data and analyzed, used for abnormal data based on construction impact factor
It improves sequential ratio method and carries out pipeline leakage diagnosis inspection.
It is sequential than in pipe leakage monitoring method, the step 3 is wrapped in the layering of the invention based on optical fiber source signal
It includes:
Step 3.1: the environmental data sample demodulated in selecting step 2 calculates sample size, root according to confidence level expression formula
The variance and mean value of hypothesis event are determined according to the variance and mean value of environmental data sample；
Step 3.2: the environmental data after selection demodulation makes null hypothesis and corresponding alternative using sequential ratio method respectively
It is assumed that null hypothesis is that pipeline environment variation does not cause wrong report, alternative hvpothesis is that pipeline environment variation may cause wrong report；For ring
Border data sample establishes likelihood ratio, and the decision function of structural environment data sample；
Step 3.3: according to decision function and sequential than decision rule, providing the judgement of null hypothesis and alternative hvpothesis respectively
Area, and find out the Grindelwald thresholding of the decision area of null hypothesis and alternative hvpothesis；
Step 3.4: environmental change being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is greater than or equal to
The Grindelwald thresholding of alternative hvpothesis then determines that alternative hvpothesis is very, to determine environment hair by the corresponding sample data of the alternative hvpothesis
Changing thens follow the steps 4；If all decision functions are less than or equal to the Grindelwald thresholding of null hypothesis, determine that null hypothesis is
Very, pipeline environment does not change, thens follow the steps 5；If decision function is between the Grindelwald thresholding and alternative hvpothesis of null hypothesis
Grindelwald thresholding between, then continue sampling carry out environmental change judgement.
Sequential than in pipe leakage monitoring method, the step 3.1 in the layering of the invention based on optical fiber source signal
Specifically:
To sample standardization processing, N (0,1) normal distribution is obeyed, then choosing confidence level is 0.9, and mean value error is less than
0.1, sample size is calculated according to confidence level expression formula, and then calculate the variance and mean value of sample, then with the variance of sample and
Value replaces the variance and mean value of hypothesis event.
It is sequential than in pipe leakage monitoring method, the step 5 is wrapped in the layering of the invention based on optical fiber source signal
It includes:
Step 5.1: choosing compensated detection data sample, sample size is calculated according to confidence level expression formula, according to inspection
The variance and mean value of measured data sample determine the variance and mean value of hypothesis event；
Step 5.2: according to the detection data of acquisition, null hypothesis and corresponding alternative vacation being made using sequential ratio method respectively
If null hypothesis is that pipeline is not abnormal, alternative hvpothesis is abnormal for pipeline；Likelihood ratio is established for detection data sample,
And construct the decision function of detection data sample；
Step 5.3: according to decision function and sequential than decision rule, providing the judgement of null hypothesis and alternative hvpothesis respectively
Area, and find out according to the rate of false alarm of permission and rate of failing to report the Grindelwald thresholding of the decision area of null hypothesis and alternative hvpothesis；
Step 5.4: pipeline variation being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is greater than or equal to
The Grindelwald thresholding of alternative hvpothesis then determines that alternative hvpothesis is very, to determine pipeline hair by the corresponding sample data of the alternative hvpothesis
It is raw abnormal, then follow the steps 5.5；If all decision functions are less than or equal to the Grindelwald thresholding of null hypothesis, null hypothesis is determined
It is true, pipeline no exceptions, then the data for acquiring subsequent period re-start pipeline leakage diagnosis inspection；If decision function is situated between
Between the Grindelwald thresholding of null hypothesis and the Grindelwald thresholding of alternative hvpothesis, then sample again in the detection data of this period
Continue to judge；
Step 5.5: the factor being adjudicated according to the variation characteristic tectonic syntaxis of different sensors, seeks cascading judgement factor knot
Fruit provides leak diagnostics result according to cascading judgement factor outcomes.
Sequential than in pipe leakage monitoring method, the step 5.5 in the layering of the invention based on optical fiber source signal
The middle cascading judgement factor are as follows:
Z=G1×G2+G1×G3+G2×G3
It is differentiated by the cascading judgement factor and determines leakage situation, if cascading judgement factor derivative is greater than or equal to 0, that is, joined
It closes the judgement factor and growth trend is presented, then determine that pipeline leaks, execute step 5；Otherwise, it is determined that pipeline is not revealed, issue
Pre-warning signal carries out prospecting to pipeline and pre- anti-leak is examined to occur, in which:
Gi=λin×λout
Wherein, λinFor the decision function that the sample that the detection data acquired with abnormal pipeline section oil inlet end is constituted is constructed, λout
The decision function constructed for the sample that the detection data acquired with abnormal pipeline section oil outlet is constituted；GiIndicate recursion value, wherein i
=1,2,3, G1, G2, G3It respectively indicates pressure, vibration and stretches recursion value of 3 kinds of detection datas as sample；Further sentence
Certainly function solves according to the following formula:
λ (n) is decision function stepping type, σ2For the sample variance that detection data is constituted, Y (n) is the detection of fiber optic conduction
Data, μ are the sample average that detection data is constituted, and Δ μ is mean shift amount.
Sequential than in pipe leakage monitoring method, the standard fiber in the layering of the invention based on optical fiber source signal
3 optical fiber in base group helically arrange by structure；3 optical fiber in detection fiber base group helically arrange by structure.
Also a kind of layering based on optical fiber source signal of the present invention is sequential than pipe leakage monitoring system, and system includes:
Module occurs for the light source for providing primary light source for fiber laser arrays；
The optical fiber letter being made of the detection fiber base group of the standard fiber base group of transmission environment data and transmission detection data
Number transmission module；
The central wavelength signal of transmission fiber each in signal transmission through fiber module is demodulated with obtain scene temperature,
Three kinds of environmental datas of humidity and density and pressure, vibration and three kinds of detection datas are stretched, and by the signal acquisition of data normalization
Module；
Environmental data and detection data are analyzed to realize the host computer diagnosed to pipe leakage situation；It is described
Host computer includes:
Collected environmental data is analyzed, uses sequential ratio method to carry out environmental change judgement and examines to exclude ring
The environmental data analysis module of alarm caused by border changes；
Collected detection data is analyzed, pipe is carried out using the sequential ratio method of improvement based on construction impact factor
The detection data analysis module that road leak diagnostics are examined.
A kind of layering based on optical fiber source signal disclosed by the invention is sequential than pipe leakage monitoring system and method, leads to
Temperature collection, soil moisture, fluid density, pipeline pressure, optical fiber vibration, pulled out condition are crossed to reduce environmental change bring shadow
It rings, reaches many-sided all standing detection.Creation base group efficiently separates environmental data and detection data, and the accurate environment that removes influences
Caused false alarm, base group is interior to use helical structure, prevents the interference of external factor.It detects base group to detect by multi-source, improve
System runs sensitivity and accuracy, provides warning function by stretching, shaking variation.
Detailed description of the invention
Fig. 1 is the layering sequential flow chart than pipe leakage monitoring method of the invention based on optical fiber source signal；
Fig. 2 is two groups of optical fiber base group data exception method flow diagrams of identification of an embodiment of the present invention；
Fig. 3 is the layering sequential hardware totality mould than pipe leakage monitoring system of the invention based on optical fiber source signal
Type figure；
Fig. 4 is the layering sequential structural block diagram than pipe leakage monitoring system of the invention based on optical fiber source signal；
Fig. 5 is a kind of fiber spiral structure chart of optical fiber base group of the invention.
Specific embodiment
It is sequential than pipe leakage monitoring method that the present invention provides a kind of layerings based on optical fiber source signal, such as Fig. 1 institute
It is shown as the flow chart of this method, comprising the following steps:
Step 1: the central wavelength signal of acquisition standard fiber base group and detection fiber base group in real time, standard fiber base group packet
It includes: three kinds of temperature, humidity and density environmental signal sources；Detection fiber base group includes: three kinds of pressure, vibration and stretching characteristic signals
Source；Use different update modes to them respectively according to the different role of two optical fiber base groups: standard fiber base group is mainly adopted
The value for collecting pipeline ambient conditions, to compensate artificial equipment operation or natural climate variation bring changes in environmental conditions,
Variation update mode is taken, i.e., is updated when data value changes；Detection fiber base group mainly acquires the operating status of pipeline,
To reflect the health condition of pipeline internal medium real-time status and pipeline itself, more using real-time update mode, i.e. sampling time
It is new primary.
Step 2: the central wavelength data of collected two optical fiber base group are demodulated to obtain scene temperature, humidity
With three kinds of environmental datas of density and pressure, vibration and stretch three kinds of characteristics, and by data normalization.
Step 3: the environmental data after selecting demodulated is analyzed, and is carried out environmental change judgement using sequential ratio method, is given
Standard fiber base group data change the value for leading to false alarm out, choose threshold value and judge whether to need to re-start compensation calculation,
The load of environmental data compensation calculation is reduced, side by side except false alarm caused by environmental change；The step 3 includes:
Step 3.1: by the environmental data composing environment data sample of acquisition, sample being calculated according to confidence level expression formula and is held
Amount, the variance and mean value of hypothesis event are determined according to the variance of environmental data sample and mean value；
When it is implemented, assuming that sample is normalized, N (0,1) normal distribution is obeyed, then choosing confidence level is 0.9,
It is worth error less than 0.1, calculating sample size according to confidence level expression formula is n=270, and then calculates the side of environmental data sample
Difference and mean value, then replace with the variance of environmental data sample and mean value the variance and mean value of hypothesis event.
Step 3.2: according to the environmental data { X of acquisition1(1),X1(2),…X1(n),…Xi(1),Xi(2)…Xi(n) },
In (i=1,2,3), null hypothesis H is made using sequential ratio method respectively0With corresponding alternative hvpothesis Hi, null hypothesis H0For pipe ring
Border variation does not cause false alarm, alternative hvpothesis HiCause false alarm for i-th of fiber data source variation of pipeline environment data；Needle
N=270 independent sample is acquired to abnormal pipeline section data and establishes following likelihood ratio:
Decision function is established, detailed process is as follows:
The sample variance and mean value of the environmental data found out by step 3.1 replace the variance and mean value of hypothesis event,
Enable stochastic variable:
Wherein, θ0The statistical distribution mean value of data sample X (k) when not causing false alarm for environmental change,For variance.This
Sample null hypothesis H0Pipeline environment changes θ when not causing false alarm0=0；Alternative hvpothesis H1θ when pipe temperature data variation false alarm1
For the distribution mean value of temperature data sample；Similarly alternative hvpothesis H2θ when pipeline humidity data changes false alarm2For humidity data sample
This distribution mean value；Alternative hvpothesis H3θ when channel density data variation false alarm3For the distribution mean value of density data sample.
Each alternative hvpothesis corresponds to a sequential probability ratio in sequential probability ratio.Here each sequential probability ratio simultaneously into
Row detection, the then wherein decision function of i-th of sequential probability ratio are as follows:
Wherein corresponding temperature sensor fibre data source when i=1, when i=2, correspond to humidity sensor fiber data source, when i=3
Corresponding density sensor fibre data source.
Step 3.3: according to decision function and sequential than decision rule, providing the decision area of null hypothesis and alternative hvpothesis respectively
Z0And Zi, and null hypothesis and alternative vacation are found out according to the probability β of the probability α of criminal's Error type I of permission and criminal's error type II
If decision area Grindelwald thresholding；
If ZiAnd Z0Respectively alternative hvpothesis HiWith null hypothesis H0Decision area, alternative hvpothesis HiWith null hypothesis H0Grindelwald
Thresholding is respectively T (Hi) and T (H0), if decision function λ meets following formula:
Door restrict expression formula is provided according to α and β:
With should X (n) fall in H0Decision area Z0When middle,
Then the threshold value after logarithmic transformation is
Ln B=ln [β/(1-a)] (7)
Ln A=ln [(1- β)/a] (8)
Step 3.4: environmental change being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is greater than or equal to
The Grindelwald thresholding of alternative hvpothesis, i.e. λ >=ln A then determine that alternative hvpothesis is very, by the corresponding sample data of the alternative hvpothesis
Determine that environment changes, thens follow the steps 4；If all decision functions be less than or equal to null hypothesis Grindelwald thresholding, i.e. λ≤
Ln B then determines that null hypothesis is very, and pipeline environment does not change, thens follow the steps 5；If ln B≤λ≤ln A, continues to sample
Carry out environmental change judgement；The recurrence formula of decision function are as follows:
Step 4: the environmental data for choosing update compensates calculating to detection data, obtains the detection that removal environment influences
Optical fiber base group data；
When it is implemented, have cross sensitivity using the optical fiber of detection fiber base group, by taking pressure sensing optical fiber as an example,
Compensation formula are as follows:
Δ P in formula0For reset pressure variation, A is the pressure characteristic sensitivity coefficient of optical fiber, and Δ P is pressure variety；B is
The temperature characterisitic sensitivity coefficient of optical fiber, Δ T are temperature variation；C is the density feature sensitivity coefficient of optical fiber, and Δ ρ is density change
Change amount；ε is the humidity characteristic sensitivity coefficient of optical fiber, and Δ RH is humidity variable quantity.
Acquisition pressure, vibration, stretching data are demodulated respectively similarly, optic fibre characteristic pressure is obtained, vibration, stretches change
The value of change amount.
Step 5: to after compensation to detection data analyze, using construction impact factor the sequential ratio method of improvement into
Row pipeline leakage diagnosis is examined；The step 5 includes:
Step 5.1: according to the detection data of a certain period and sampling and constitute detection data sample, according to confidence level expression formula
Sample size is calculated, the variance and mean value of hypothesis event are determined according to the variance of detection data sample and mean value；
When it is implemented, assuming that sample is normalized, N (0,1) normal distribution is obeyed, then choosing confidence level is 0.9,
It is worth error less than 0.1, calculating sample size according to confidence level expression formula is n=270, and then calculates the side of environmental data sample
Difference and mean value, then replace with the variance of environmental data sample and mean value the variance and mean value of hypothesis event.
Step 5.2: according to compensated detection data { Y1(1),Y1(2),…Y1(n),…Ym(1),Ym(2)…Ym(n) },
Wherein (m=1,2,3) makes null hypothesis S using sequential ratio method respectively0With corresponding alternative hvpothesis Sm, null hypothesis S0For pipeline
It is not abnormal, alternative hvpothesis SmIt is abnormal for pipeline；N=270 independent sample, which is acquired, for detection data establishes likelihood
Than:
Detection data based on the detection fiber base group after ambient compensation constructs decision function:
Wherein corresponding pressure sensor fibre when m=1, when m=2, correspond to vibration-sensing optical fiber, and when m=3 senses strain stretch
Optical fiber.
Step 5.3: according to detection data decision function and sequential than decision rule, providing null hypothesis and alternative hvpothesis respectively
Decision area, and according to the rate of false alarm α of permission*With rate of failing to report β*Find out the Grindelwald door of the decision area of null hypothesis and alternative hvpothesis
Limit；
If LmAnd L0Respectively alternative hvpothesis SmWith null hypothesis S0Decision area, alternative hvpothesis SmWith null hypothesis S0Grindelwald
Threshold value is respectively T (Sm) and T (S0), it is possible to determine that Y (n) falls in SmDecision area LmWhen middle
With should Y (n) fall in S0Decision area L0When middle,
The then threshold value after logarithmic transformation are as follows:
Ln B=ln [β*/(1-α*)] (15)
Ln A=ln [(1- β*)/α*] (16)
Step 5.4: pipeline variation being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is greater than or equal to
The Grindelwald thresholding of alternative hvpothesis, i.e. λ >=ln A, then determine alternative hvpothesis SmIt is very, by alternative hvpothesis SmCorresponding sample number
It is abnormal according to judgement pipeline, thens follow the steps 5.5；If all decision functions are less than or equal to the Grindelwald thresholding of null hypothesis,
That is λ≤ln B then determines null hypothesis S0It is very, pipeline no exceptions, the then data for acquiring subsequent period re-start pipeline
Leak diagnostics are examined；If ln B≤λ≤ln A, sampling continues to judge again in the detection data of this period；
Step 5.5: tectonic syntaxis adjudicates the factor, seeks cascading judgement factor outcomes, is given according to cascading judgement factor outcomes
Leak diagnostics are as a result, the cascading judgement factor out are as follows:
Z=G1×G2+G1×G3+G2×G3 (17)
It is differentiated by the cascading judgement factor and determines leakage situation, if cascading judgement factor derivative is greater than or equal to 0, that is, joined
It closes the judgement factor and growth trend is presented, then determine that pipeline leaks, execute step 5；Otherwise, it is determined that pipeline is not revealed, issue
Pre-warning signal carries out prospecting to pipeline and pre- anti-leak is examined to occur, in which:
Gi=λin×λout (18)
Wherein, λinFor the decision function that the sample that the detection data acquired with abnormal pipeline section oil inlet end is constituted is constructed, λout
The decision function constructed for the sample that the detection data acquired with abnormal pipeline section oil outlet is constituted；GiIndicate recursion value, wherein i
=1,2,3, G1, G2, G3It respectively indicates pressure, vibration and stretches recursion value of 3 kinds of detection datas as sample；Further sentence
Certainly function solves according to the following formula:
λ (n) is decision function stepping type, σ2For the sample variance that detection data is constituted, Y (n) is the detection of fiber optic conduction
Data, μ are the sample average that detection data is constituted, and Δ μ is mean shift amount.
It is sequential than pipe leakage monitoring system that the present invention also provides a kind of layerings based on optical fiber source signal, such as Fig. 3 institute
Show that this system includes: that module 1, signal transmission through fiber module 2, signal acquisition module 3, host computer 4 occur for light source.
Wherein, light source generation module 1 provides primary light source for fiber laser arrays, intersects switching knot using the bis- light sources of ASE and DFB
It closes and uses, wideband operation wave or the stable 1550nm fixed length work between 1525-1565nm are provided according to different requirement of engineering
Make wave.
Signal transmission through fiber module 2 is by the standard fiber base group of transmission environment data and the detection fiber of transmission detection data
Base group is constituted.3 optical fiber in each optical fiber base group as shown in Figure 5 are arranged using helical structure, so that it is sensitive special to remove itself
Outside the variation of property, if any other fortuitous events by 3 optical fiber in collective effect Equivalence effects base group, and then exclusive PCR.Mark
Quasi-fiber base group is made of temperature sensing optical fiber, humidity sensor optical fiber and density sensing optical fiber, the main variation for monitoring environment, into
And it excludes to alarm as caused by environmental change.Detection fiber base group is by pressure sensing optical fiber, vibration-sensing optical fiber and stretches biography biography
Photosensitive fine composition, main pressure, vibration and the stretching for passing through detection and being laid with along tube wall, and then alarm and stolen hair are sent to leakage
Early warning out.The central wavelength of optical fiber refraction in each base group is all the same, guarantees that each base group can be in reaction tube under same performance
The corresponding environmental data in road and detection data variation.Increase the direction of pipeline valid analysing range and covering, increases system detection
Precision, reduce false alarm, reduce rate of false alarm in practical applications, the purpose of warning function is provided.
To meet requirement of engineering, meet signal transmission low-loss over long distances, cooperation optical source wavelength bandwidth is reached unification, used
Light source is divided into two groups 6 parts by 2 grades of optical splitters, is separately connected corresponding sensor fibre and is formed 2 optical fiber base groups, standard fiber base
Group transmission environment data include: temperature, humidity and density；It includes: pressure, vibration and drawing that detection fiber base group, which transmits detection data,
The amount of stretching.Sensor fibre is using G.653 international standard dispersion shifted single mode fiber, so that dispersion zero-point is near 1550nm, it is sensitive
Degree is high, counter-bending, is not easily broken, and completes the transmission of long range low-loss signal.The optical fiber for meeting engineering abutting pipe wall is put
It sets, is fixed, carry out signal transmission through fiber.
Signal acquisition module 3 is by flanged joint sensor fibre, by transmission fiber each in signal transmission through fiber module 2
Central wavelength signal is demodulated to obtain scene temperature, three kinds of environmental datas of humidity and density and pressure, vibration and stretching three
Kind of detection data, and by the signal acquisition module of data normalization.Environmental data and detection data entering signal acquisition module 3
Light interaction causes the center of light to change behind modulating action area, becomes the signal source modulated, and completes to fiber-optic signal
Collection apparatus is converted into the unified supplemental characteristic of standard, and is stored, and shows result.And it is taken using SOCKET multicast
Establishing network communication, transfers data to host computer 4.
Host computer 4 is used to analyze environmental data and detection data to realize and diagnose pipe leakage situation.
Host computer 4 includes: environmental data analysis module 41 and detection data analysis module 42.Environmental data analysis module 41 is used for solution
Environmental data after tune is analyzed, and is used sequential ratio method to carry out environmental change judgement and is examined to exclude caused by environmental change
Alarm；Measured data analysis module 42 is for analyzing the detection data after demodulation, using changing based on construction impact factor
Well-ordering passes through ratio method and carries out pipeline leakage diagnosis inspection.
The foregoing is merely presently preferred embodiments of the present invention, the thought being not intended to limit the invention, all of the invention
Within spirit and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of layering based on optical fiber source signal is sequential than pipe leakage monitoring method, which is characterized in that including following step
It is rapid:
Step 1: the central wavelength signal of acquisition standard fiber base group and detection fiber base group, standard fiber base group include: in real time
Three kinds of temperature, humidity and density environmental signal sources；Detection fiber base group includes: three kinds of pressure, vibration and stretching characteristic signal sources；
Different update mode: the main collection tube of standard fiber base group is used to them respectively according to the different role of two optical fiber base groups
The value of road ambient conditions is taken to compensate artificial equipment operation or natural climate variation bring changes in environmental conditions
Change update mode, i.e., is updated when data value changes；Detection fiber base group mainly acquires the operating status of pipeline, to
The health condition for reflecting pipeline internal medium real-time status and pipeline itself, using real-time update mode, i.e. the sampling time updates one
It is secondary；
Step 2: the central wavelength data of collected two optical fiber base group being demodulated to obtain scene temperature, humidity and close
It spends three kinds of environmental datas and pressure, vibration and stretches three kinds of detection datas, and by data normalization；
Step 3: the environmental data after selecting demodulated is analyzed, and is carried out environmental change judgement using sequential ratio method, is given bid
Quasi-fiber base group data change the value for leading to false alarm, choose threshold value and judge whether to need to re-start compensation calculation, if not
Compensation calculation is needed, then arrives step 5, otherwise arrives step 4, this method reduces the load of environmental data compensation calculation, side by side division ring
False alarm caused by border changes；
Step 4: the environmental data for choosing update compensates calculating to detection data, obtains the testing number that removal environment influences
According to；
Step 5: choosing compensated detection data and analyzed, use the improvement based on construction impact factor for abnormal data
Sequential ratio method carries out pipeline leakage diagnosis inspection.
2. the layering as described in claim 1 based on optical fiber source signal is sequential than pipe leakage monitoring method, feature exists
In the step 3 includes:
Step 3.1: the environmental data sample demodulated in selecting step 2 calculates sample size according to confidence level expression formula, according to ring
The variance and mean value of border data sample determine the variance and mean value of hypothesis event；
Step 3.2: the environmental data after selection demodulation makes null hypothesis and corresponding alternative vacation using sequential ratio method respectively
If null hypothesis is that pipeline environment variation does not cause wrong report, alternative hvpothesis is that pipeline environment variation may cause wrong report；For environment
Data sample establishes likelihood ratio, and the decision function of structural environment data sample；
Step 3.3: according to decision function and sequential than decision rule, the decision area of null hypothesis and alternative hvpothesis is provided respectively, and
Find out the Grindelwald thresholding of the decision area of null hypothesis and alternative hvpothesis；
Step 3.4: environmental change being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is greater than or equal to alternatively
The Grindelwald thresholding of hypothesis then determines that alternative hvpothesis is very, to determine that environment becomes by the corresponding sample data of the alternative hvpothesis
Change, thens follow the steps 4；If all decision functions are less than or equal to the Grindelwald thresholding of null hypothesis, determine that null hypothesis is true, pipe
Road environment does not change, thens follow the steps 5；If decision function is between the Grindelwald thresholding of null hypothesis and the Wa Er of alternative hvpothesis
Between moral thresholding, then continues sampling and carry out environmental change judgement.
3. the layering as claimed in claim 2 based on optical fiber source signal is sequential than pipe leakage monitoring method, feature exists
In the step 3.1 specifically:
To sample standardization processing, N (0,1) normal distribution is obeyed, then choosing confidence level is 0.9, and mean value error is less than 0.1, root
Sample size is calculated according to confidence level expression formula, and then calculates the variance and mean value of sample, then replace with the variance of sample and mean value
Assuming that the variance and mean value of event.
4. the layering as described in claim 1 based on optical fiber source signal is sequential than pipe leakage monitoring method, feature exists
In the step 5 includes:
Step 5.1: choosing compensated detection data sample, sample size is calculated according to confidence level expression formula, according to testing number
The variance and mean value of hypothesis event are determined according to the variance and mean value of sample；
Step 5.2: according to the detection data of acquisition, null hypothesis and corresponding alternative hvpothesis are made using sequential ratio method respectively,
Null hypothesis is that pipeline is not abnormal, and alternative hvpothesis is abnormal for pipeline；Likelihood ratio, and structure are established for detection data sample
Make the decision function of detection data sample；
Step 5.3: according to decision function and sequential than decision rule, the decision area of null hypothesis and alternative hvpothesis is provided respectively, and
The Grindelwald thresholding of the decision area of null hypothesis and alternative hvpothesis is found out according to the rate of false alarm of permission and rate of failing to report；
Step 5.4: pipeline variation being carried out according to the decision rule of sequential ratio and assumes judgement, if decision function is more than or equal to alternative
The Grindelwald thresholding of hypothesis then determines that alternative hvpothesis is very, it is different to determine that pipeline occurs by the corresponding sample data of the alternative hvpothesis
Often, 5.5 are thened follow the steps；If all decision functions are less than or equal to the Grindelwald thresholding of null hypothesis, determine null hypothesis be it is true,
Pipeline no exceptions, the then data for acquiring subsequent period re-start pipeline leakage diagnosis inspection；If decision function is between original
Between the Grindelwald thresholding of hypothesis and the Grindelwald thresholding of alternative hvpothesis, then sampling continues again in the detection data of this period
Judged；
Step 5.5: the factor being adjudicated according to the variation characteristic tectonic syntaxis of different sensors, seeks cascading judgement factor outcomes, root
Leak diagnostics result is provided according to cascading judgement factor outcomes.
5. the layering as claimed in claim 4 based on optical fiber source signal is sequential than pipe leakage monitoring method, feature exists
In the cascading judgement factor in the step 5.5 are as follows:
Z=G1×G2+G1×G3+G2×G3
It is differentiated by the cascading judgement factor and determines leakage situation, if cascading judgement factor derivative is greater than or equal to 0, that is, combined and sentence
Certainly growth trend is presented in the factor, then determines that pipeline leaks, and executes step 5；Otherwise, it is determined that pipeline is not revealed, early warning is issued
Signal carries out prospecting to pipeline and pre- anti-leak is examined to occur, in which:
Gi=λin×λout
Wherein, λinFor the decision function that the sample that the detection data acquired with abnormal pipeline section oil inlet end is constituted is constructed, λoutFor with
The decision function that the sample that the detection data of abnormal pipeline section oil outlet acquisition is constituted is constructed；GiIndicate recursion value, wherein i=1,
2,3, G1, G2, G3It respectively indicates pressure, vibration and stretches recursion value of 3 kinds of detection datas as sample；Further adjudicate letter
Number solves according to the following formula:
λ (n) is decision function stepping type, σ2For the sample variance that detection data is constituted, Y (n) is the detection data of fiber optic conduction, μ
For the sample average that detection data is constituted, Δ μ is mean shift amount.
6. the layering as described in claim 1 based on optical fiber source signal is sequential than pipe leakage monitoring method, feature exists
In 3 optical fiber in the standard fiber base group helically arrange by structure；3 optical fiber in the detection fiber base group are in spiral shell
Revolve structure arrangement.
7. a kind of layering based on optical fiber source signal is sequential than pipe leakage monitoring system, which is characterized in that system includes:
Module occurs for the light source for providing primary light source for fiber laser arrays；
It is passed by the fiber-optic signal that the detection fiber base group of the standard fiber base group of transmission environment data and transmission detection data is constituted
Defeated module；
The central wavelength signal of transmission fiber each in signal transmission through fiber module is demodulated to obtain scene temperature, humidity
With three kinds of environmental datas of density and pressure, vibration and stretch three kinds of detection datas, and by the signal acquisition module of data normalization；
Environmental data and detection data are analyzed to realize the host computer diagnosed to pipe leakage situation；It is described upper
Machine includes:
Collected environmental data is analyzed, uses sequential ratio method to carry out environmental change judgement and examines to exclude environment change
The environmental data analysis module of alarm caused by changing；
Collected detection data is analyzed, pipeline is carried out using the sequential ratio method of improvement based on construction impact factor and is let out
Leak the detection data analysis module of diagnostic check.
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