CN107300577A - A kind of multiphase flow pattern detection method based on soft-measuring technique - Google Patents
A kind of multiphase flow pattern detection method based on soft-measuring technique Download PDFInfo
- Publication number
- CN107300577A CN107300577A CN201611114584.0A CN201611114584A CN107300577A CN 107300577 A CN107300577 A CN 107300577A CN 201611114584 A CN201611114584 A CN 201611114584A CN 107300577 A CN107300577 A CN 107300577A
- Authority
- CN
- China
- Prior art keywords
- flow pattern
- soft
- multiphase flow
- measuring technique
- signal
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/06—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/06—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
- G01N27/07—Construction of measuring vessels; Electrodes therefor
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Measuring Volume Flow (AREA)
Abstract
The invention discloses a kind of multiphase flow pattern detection method based on soft-measuring technique, it is primarily related to use traditional conducting probe that soft-measuring technique is introduced into multiphase flow parameter testing field on the basis of detecting flow pattern, using many conducting probe structures being made up of three conducting probes, to obtain the response signal produced when multiphase flow pattern is different in pipe, after filtering with after Signal-regulated kinase, the voltage signal produced is gathered with data acquisition device to respond, it is finally delivered to computer and carries out data extraction, and mathematical modeling is carried out using wavelet analysis technology and fuzzy mathematics, the flow pattern of multiphase flow is analyzed and differentiated using soft-measuring technique.The identification precision of convection can be effectively improved using the multi-model flexible measurement method based on fuzzy rule, the accuracy of detection is improved.
Description
Technical field
The present invention relates to multiphase flow detection field, more particularly to a kind of multiphase flow pattern inspection based on soft-measuring technique
Survey method.
Background technology
With the rapid development of science and technology, status of the Multiphase Flow system in national economy and human lives is increasingly weighed
Will, coverage is quite varied in nature and industrial production, in industry such as chemical industry, oil, metallurgy, power and atomic energy
In, Multiphase Flow process is even more generally existing.The distribution situation of each phase medium is referred to as flow pattern or fluidised form in Multiphase Flow.Flow pattern
Difference, not only influences the flow behavior and heat and mass transfer performance of multiphase flow, and the accurate measurement of influence multiphase flow parameter.For example
The fluctuation of pressure can produce the judder phenomenon of pipeline with the multiphase flow mixture interaction conveyed.Therefore multiphase is studied
Flowing the automatic identification of flow pattern not only has important industrial application value and learning value, and it can be the peace of related industries
Exploitation measured entirely with automated production, the design of pipe-line system and operation, multiphase flow rates etc. provides important technical support.Cause
This, the meteor trail echoes of multiphase flow are an important directions in multiphase flow detection.
The modern surveying method of flow pattern can be divided into the direct method of measurement and the indirect method of measurement from operation principle.Common is direct
Mensuration has ocular estimate, High Speed Photography, ray attenuation method and contact probe head method etc. several；The indirect method of measurement mainly has probability close
Spend function analysis, Analysis of power spectral density function method.Traditional being typically established at is various existing on the hardware foundations such as sensor
There is means of testing, also fail to obtain result of great satisfaction at present in multiphase flow field, (such as state is estimated by soft-measuring technique
Meter, procedure parameter identification, artificial neural network, pattern-recognition etc.) it is introduced into multiphase flow parameter testing field to be flow pattern detection
A development trend.
Through retrieval, patent related to the present invention has：A kind of method (publication number for differentiating multiphase flow pattern：
CN103123294A), a kind of method for differentiating multiphase flow pattern is disclosed, detects produced when multiphase flow flows in pipe under test first
Raw voice signal, if the voice signal is steady, the flow pattern of the multiphase flow is stratified flow flow pattern, if the voice signal
Fluctuation is violent, then the flow pattern of the multiphase flow is intermittent flow flow pattern, and defeated multiphase flow pattern is mixed to oil-gas in not visible pipeline
Testing result is accurate, and easy to operate, but is also easy to produce external interference signal by sound, and stability is not high；A kind of helical feed
Powder flow pattern detection means and compressed sensing meteor trail echoes method (publication number in pipe：), CN103645029A its detection means by
Detection sensor, signal acquisition and processing unit and host computer composition, flow pattern is carried out using the algorithm based on compressive sensing theory
Identification, overcoming traditional algorithm needs the limitation of meter sensitivity matrix, and it is sensitive that the present apparatus and method improve detection sensor
The uniformity coefficient of field, can accurately and efficiently carry out the identification of flow pattern, but it is not enough for the analysis ability of complicated flow pattern.
The content of the invention
The problem of being run into reference to the detection of conventional multiphase stream flow pattern, the present invention provides a kind of multiphase flow based on soft-measuring technique
Flow pattern detection method.
The technical scheme is that：
A kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that many conducting probe technology for detection
Multiphase flow is simultaneously analyzed based on soft-measuring technique docking by signal, and specific detection method is：
(1) detection part：Detection probe is inserted into camber in 90 ° of stainless steel sleeve, injection insulated paint is arrived first
Sleeve inner, the connection and drying of electrode and shell are then fixed with the epoxy resin of high intensity, finally probe pinpoint hangs down
Waterproof abrasive paper directly is slipped over, a very short conducting distance is produced in probe tip, a conductance probe head is constituted, by many conductance probe heads
Structure is arranged in detected container or pipeline, multiphase flow is detected, and signal is connect by circuit conduct to signal
Receive device.
(2) analysis part：After the signal of reception is by Signal-regulated kinase, data acquisition equipment is got forwarded to, then passes through meter
Calculation machine shows the signal of reception, after the signal characteristic quantity of reception is extracted, and sets up the flow pattern soft-sensing model based on fuzzy rule,
Model parameter is recognized, the membership function of characteristic variable is then established using sample data, it is former according to maximum membership degree
Then draw meteor trail echoes result.
Described a kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that in detection part
Probe and sleeve need to ensure insulated from each other between electrode and shell.
Described a kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that adopted in analysis part
It is made up of with many conducting probe structures three conducting probes, axially spaced 30mm, the angle of phase difference of pi/3 on circumference arc.
Described a kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that believe in analysis part
Number conditioning module is mainly made up of differential amplification, three modules of phase demodulation and LPF, and uses dynamic time window model,
Detection data are smoothly pre-processed.
A kind of described multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that number in analysis part
What is selected according to collection is the type intelligent signal collection processing system of INV303~306, and the network analysis function that it is carried can be completed
Real-time display waveform change, uses triggering sampling configuration, can complete the aobvious functions of Bian Caibian.
Described a kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that in analysis part
Membership function selects trapezoidal function as follows each characteristic variable, wherein X={ x1,x2,x3,x4,x5,x6,x7It is to be identified
The characteristic vector of flow pattern, [minij,maxij] interval for their main substep, 1≤j≤J, wherein i represent certain specific stream
Type, 1≤i≤4,
The beneficial effects of the present invention are：A kind of multiphase flow pattern detection side based on soft-measuring technique proposed by the present invention
Method, main process ginseng is provided by flexible measurement method, namely using the supporting process variable and off-line analysis information of on-line measurement
The method of several On-line Estimations, solves complexity, the uncertainty of the detection of conventional multiphase stream flow pattern, and is difficult to use mathematical modeling
The test problems of the multiphase streaming system accurately described.
Brief description of the drawings
Fig. 1 is the multiphase flow pattern identification system structural representation based on soft-measuring technique.
Fig. 2 is the multiphase flow pattern detection technique route map based on soft-measuring technique.
Embodiment
Multiphase flow pattern identification system structural representation of the description based on soft-measuring technique shown in Fig. 1：Using by three electricity
Many conducting probe structures of probe composition are led, its axially spaced 30mm, the angle of phase difference of pi/3 on circumference arc is obtained in pipe
The response signal that multiphase flow pattern is produced when different, after filtering with after Signal-regulated kinase, electricity is gathered with data acquisition device
The voltage signal on R is hindered, computer is finally delivered to and can be sampled in data extraction and hard measurement analysis, computer
The selection of frequency, sampling channel and data length etc..
Due to the complexity of multiphase streaming system, the uncertainty of discrimination so that many conventional methods all cannot be very
Good effect.The present invention carries out mathematical modeling using wavelet analysis technology and fuzzy mathematics, using soft-measuring technique to multiphase flow
Flow pattern analyzed and differentiated.The voltage signal on resistance R is gathered with data acquisition device, is visited when probe contacts liquid phase
Pin is connected with tube wall, high level occurs on resistance；When probe contacts gas phase, probe disconnects with tube wall, low electricity occurs on resistance R
It is flat.The continuous of liquid and gas alternately can just produce the corresponding different response signal of various flow patterns so at probe, therefore
Using the response signal of generation as hard measurement system easy survey auxiliary variable.And leading variable is exactly important ginseng in multiphase flow
Number --- flow pattern, the energy of each yardstick details of selection accounts for the percentage of the gross energy of signal as the characteristic value of each yardstick of signal,
I.e. signal energy of each yardstick details after wavelet decomposition accounts for the percentage of the gross energy of signal, namely Scale energy percentage.
The percentage of gross energy of signal is accounted for using the energy of each yardstick details as the characteristic value of each yardstick of signal, that is, takes energy
Measure feature value is " Scale energy percentage "According to fuzzy mathematics theory, meteor trail echoes problem is exactly that a decision-making is asked
Topic, i.e., carry out the classification of flow pattern by known information.
First, domain is set as U={ A1,A2,A3,A4, wherein A1={ bubble stream }, A2={ slug flow }, A3={ plug-like
Stream }, A4={ annular flow }, i.e., the actual flow pattern observed in an experiment.
It is then determined that the feature vector, X of flow pattern to be identified={ x1,x2,x3,x4,x5,x6,x7, here, xj=Pj=Ej/E0,
1≤j≤J,x7=E0, that is, the Scale energy percentage P for the signal selectedjWith signal energy E0It is used as characteristic vector.And determine it
Main substep interval [minij,maxij], 1≤j≤J, wherein i represent certain specific flow pattern, 1≤i≤4.That is,
By the energy component P according to different scalejWith signal energy E0Substep situation determine the criterion of flow pattern, in this, as
The foundation of discrimination.
Because the determination of membership function does not have certain criterion, majority is that rule of thumb index is determined.By
Analysis, membership function is used as to each characteristic variable from trapezoidal function：
Choose each characteristic variable and be subordinate to the weighted mean of angle value as eachMembership functionI.e.：Wherein wijFor weight coefficient, andWeight coefficient is established in an experiment.By
This can calculate a certain characteristic vector and be subordinate to angle value for a certain fuzzy subset, by maximum membership grade principle it may determine that
Flow pattern to be identified.
The technology path that the present invention uses hard measurement scheme is described in Fig. 2, feature is being established using sample data
After the membership function of variable, the method and step of whole technical Analysis identification process is as follows：
(1) identification signal is treated first and carries out wavelet decomposition, extracts characteristic vector value：ENERGY E0With Scale energy percentage
Pj；
(2) then calculate each characteristic value be subordinate to angle value, so as to obtain this signal for each flow pattern (fuzzy subset)
It is subordinate to angle value；
(3) and then according to maximum membership grade principle, the result recognized, if two identicals are subordinate to angle value, then
Think that flow pattern is in the transition stage of two kinds of flow patterns.
Actual Contrast analysis shows, convection can be effectively improved using the multi-model flexible measurement method based on fuzzy rule
Identification precision, improve the accuracy of detection.
The invention is not restricted to above-described embodiment, also comprising other embodiments in the range of present inventive concept and variation.
Claims (6)
1. a kind of multiphase flow pattern detection method based on soft-measuring technique, it is characterised in that many conducting probe technology for detection are more
Mutually flow and analyzed based on soft-measuring technique docking by signal, specific detection method is：
(1) detection part：First detection probe is inserted camber in 90 ° of stainless steel sleeve, to inject insulated paint to sleeve
Inside, the connection and drying of electrode and shell are then fixed with the epoxy resin of high intensity, finally vertically slides probe pinpoint
Waterproof abrasive paper is crossed, a very short conducting distance is produced in probe tip, a conductance probe head is constituted, by many conductance probe head structures
In detected container or pipeline, multiphase flow is detected, and signal is passed through into circuit conduct to signal receiver.
(2) analysis part：After the signal of reception is by Signal-regulated kinase, data acquisition equipment is got forwarded to, then passes through computer
The signal of reception is shown, after the signal characteristic quantity of reception is extracted, the flow pattern soft-sensing model based on fuzzy rule is set up, to mould
Shape parameter is recognized, and the membership function of characteristic variable is then established using sample data, is obtained according to maximum membership grade principle
Go out meteor trail echoes result.
2. a kind of multiphase flow pattern detection method based on soft-measuring technique described in claim 1, it is characterised in that test section
Probe and sleeve in point need to ensure insulated from each other between electrode and shell.
3. a kind of multiphase flow pattern detection method based on soft-measuring technique described in claim 1, it is characterised in that analysis portion
It is made up of in point using many conducting probe structures three conducting probes, axially spaced 30mm, phase difference of pi/3 on circumference arc
Angle.
4. a kind of multiphase flow pattern detection method based on soft-measuring technique described in claim 1, it is characterised in that analysis portion
Signal-regulated kinase is mainly made up of differential amplification, three modules of phase demodulation and LPF in point, and during using dynamic
Detection data are smoothly pre-processed by window model.
5. a kind of multiphase flow pattern detection method based on soft-measuring technique described in claim 1, it is characterised in that analysis portion
What data acquisition was selected in point is the type intelligent signal collection processing system of INV303~306, and the network analysis function that it is carried can
To complete real-time display waveform change, triggering sampling configuration is used, the aobvious functions of Bian Caibian can be completed.
6. a kind of multiphase flow pattern detection method based on soft-measuring technique described in claim 1, it is characterised in that analysis portion
Membership function in point selects trapezoidal function as follows each characteristic variable, wherein X={ x1,x2,x3,x4,x5,x6,x7Be
The characteristic vector of flow pattern to be identified, [minij,maxij] interval for their main substep, 1≤j≤J, wherein i represent certain tool
Body flow pattern, 1≤i≤4,
。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611114584.0A CN107300577A (en) | 2016-12-07 | 2016-12-07 | A kind of multiphase flow pattern detection method based on soft-measuring technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611114584.0A CN107300577A (en) | 2016-12-07 | 2016-12-07 | A kind of multiphase flow pattern detection method based on soft-measuring technique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107300577A true CN107300577A (en) | 2017-10-27 |
Family
ID=60137594
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611114584.0A Withdrawn CN107300577A (en) | 2016-12-07 | 2016-12-07 | A kind of multiphase flow pattern detection method based on soft-measuring technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107300577A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2789379C2 (en) * | 2018-07-23 | 2023-02-02 | Шлюмбергер Текнолоджи Б.В. | Methods and device for detection of water in multiphase flows |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1554936A (en) * | 2003-12-19 | 2004-12-15 | 浙江大学 | Gas/liquid twe phase flow flow pattern identifying method and system based on soft measurement technology |
| CN102706534A (en) * | 2012-06-01 | 2012-10-03 | 绍兴文理学院 | Gas-liquid two-phase flow pattern recognition method |
| CN103954653A (en) * | 2014-04-29 | 2014-07-30 | 上海交通大学 | Manufacture method of four-probe conducting probe and application of conducting probe to measurement on two-phase flow parameters |
| CN103967478B (en) * | 2014-05-21 | 2017-10-27 | 北京航空航天大学 | A kind of peupendicular hole meteor trail echoes method based on conducting probe |
-
2016
- 2016-12-07 CN CN201611114584.0A patent/CN107300577A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1554936A (en) * | 2003-12-19 | 2004-12-15 | 浙江大学 | Gas/liquid twe phase flow flow pattern identifying method and system based on soft measurement technology |
| CN102706534A (en) * | 2012-06-01 | 2012-10-03 | 绍兴文理学院 | Gas-liquid two-phase flow pattern recognition method |
| CN103954653A (en) * | 2014-04-29 | 2014-07-30 | 上海交通大学 | Manufacture method of four-probe conducting probe and application of conducting probe to measurement on two-phase flow parameters |
| CN103967478B (en) * | 2014-05-21 | 2017-10-27 | 北京航空航天大学 | A kind of peupendicular hole meteor trail echoes method based on conducting probe |
Non-Patent Citations (1)
| Title |
|---|
| 任英玉，陈选，连恩杨: ""模拟电子技术基础"课程中输入信号源的教学", 《电气电子教学学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2789379C2 (en) * | 2018-07-23 | 2023-02-02 | Шлюмбергер Текнолоджи Б.В. | Methods and device for detection of water in multiphase flows |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | Gas–liquid two phase flow measurement method based on combination instrument of turbine flowmeter and conductance sensor | |
| CN102608440B (en) | Electrostatic sensing experimental system and particle frictional charge measuring method | |
| US9897529B2 (en) | Test system and test method for a simulation experiment of gas hydrate in a porous medium | |
| CN104155471B (en) | Multiphase flow testing method based on cross-correlation velocity measurement of ultrasonic and electric multiple sensors | |
| AU704576B2 (en) | Method and system for analyzing a two-phase flow | |
| Jin et al. | Design and geometry optimization of a conductivity probe with a vertical multiple electrode array for measuring volume fraction and axial velocity of two-phase flow | |
| CN104089985B (en) | Multiphase flow visual testing method based on electricity Yu ultrasonic sensitive principle | |
| CN102305645B (en) | Gas-liquid phase flow measurement device | |
| CN102109451B (en) | Non-contact conductive gas/liquid two-phase flow pattern identifying device and method | |
| Ghosh et al. | Automatic classification of vertical counter-current two-phase flow by capturing hydrodynamic characteristics through objective descriptions | |
| CN105486358B (en) | Gas-liquid two-phase flow parameter measurement method based on Venturi tube double difference pressure | |
| CN102175130B (en) | Real-time measuring device and measuring method for thickness of gas-containing liquid film in interface fluctuation | |
| CN105890693B (en) | A kind of gas-liquid two-phase flow containing rate and separate phase flow rate detection device and detection method | |
| CN107153086A (en) | The acoustic-electric bimodal fusion measuring method of two phase flow procedure parameter | |
| CN104101730B (en) | Oil-gas two-phase flow liquid plug movement velocity based on capacitance detecting device and length measurement method | |
| CN105842298B (en) | The adaptive estimation method of two phase flow moisture content | |
| CN109613074A (en) | Multiple-blade eddy flow split-phase capacitor moisture percentage measuring apparatus | |
| Wang et al. | A new method for processing ultrasonic gas flowmeter signal in wet gas | |
| CN112926767A (en) | Annular fog flow gas phase apparent flow velocity prediction method based on particle swarm BP neural network | |
| CN108318578A (en) | The gas-liquid slug flow liquid plug area differentiation measured based on sound emission and parameter detection method | |
| Zhu et al. | Flow regime detection using gamma-ray-based multiphase flowmeter: A machine learning approach | |
| CN104502998B (en) | Characteristic parameter tester and testing method for seismic detector | |
| Zhou et al. | Real-time online inversion of GA-PSO-BP flux leakage defects based on information fusion: numerical simulation and experimental research | |
| CN107300577A (en) | A kind of multiphase flow pattern detection method based on soft-measuring technique | |
| Gao et al. | Measurement of crude oil water content based on cross-correlation method |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20171027 |