CN105675256A - Gas-liquid two-phase flow identification system and method based on fluctuation signal in check valve - Google Patents

Gas-liquid two-phase flow identification system and method based on fluctuation signal in check valve Download PDF

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CN105675256A
CN105675256A CN201610184112.6A CN201610184112A CN105675256A CN 105675256 A CN105675256 A CN 105675256A CN 201610184112 A CN201610184112 A CN 201610184112A CN 105675256 A CN105675256 A CN 105675256A
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signal
check
valves
mode function
intrinsic mode
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CN105675256B (en
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王雷
张明奎
赵红霞
杜景伟
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Jiaxing Soco Energy Technology Co ltd
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Shandong University
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    • G—PHYSICS
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    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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Abstract

The invention discloses a gas-liquid two-phase flow identification system and a method based on a fluctuation signal in a check valve. The method comprises steps: a pickup is directly fixed on the check valve, audio signals generated by the check valve are acquired, an audio signal acquisition card acquires the audio signals, and the acquired audio signals are transmitted to a computer; a differential pressure sensor is connected with the check valve for measuring changes of a pressure difference between two points of the check valve, a differential pressure signal acquisition card acquires the change signals of the pressure difference, and the acquired signals are transmitted to the computer; and the computer identifies the flow state of fluid in a pipeline according to the received audio signals and the change signals of the pressure difference. The system and the method have the beneficial effects that the check value serves as a research object, and the flow state of the fluid in the pipeline is identified according to sound and pressure difference signals.

Description

Based on the biphase gas and liquid flow identification system of fluctuation signal in check-valves and method
Technical field
The present invention relates to technical field of multiphase flow measurement, particularly relate to a kind of based on the biphase gas and liquid flow identification system of fluctuation signal in check-valves and method.
Background technology
Two phase flow is widely present in the industrial departments such as the energy, chemical industry, metallurgy, the different flow regimes of fluid all have great importance for the mode of operation in production process, operation stability and control of product quality etc., therefore for the research and analysis of two phase flow signals, be always up one extremely important and obtain the problem of extensive concern. Traditional flow type identification method is relatively costly, and application conditions is harsh. And in order to obtain signal, be that intrusive mood is measured mostly, be not suitable for inflammable and explosive special occasions.
Check-valves is also known as check valve or non-return valve, and its effect is to prevent the medium in pipeline from flowing backwards. Check-valves is widely used in commercial production and daily life. Research finds, the sound produced in check-valves and the flow regime of Pressure Fluctuation Signal and fluid are closely related. The application of this method not only realizes that cost is low, applied range, and the extraction to acoustical signal is non-intrusion type, can be applicable to the inflammable and explosive special occasions such as oil gas.
Summary of the invention
The purpose of the present invention is contemplated to solve an above-mentioned difficult problem, provide a kind of based on the biphase gas and liquid flow identification system of fluctuation signal in check-valves and method, with check-valves for object of study, utilize the state that fluids within pipes is flowed by sound and pressure difference signal to carry out identification, may be used on the inflammable and explosive special occasions such as oil gas transport.
For achieving the above object, the concrete scheme of the present invention is as follows:
A kind of based on the biphase gas and liquid flow identification system of fluctuation signal in check-valves, including: pick up, differential pressure pick-up, differential pressure signal capture card, audio signal sample card and computer;
Described pick up is directly anchored on check-valves, gathers the audio signal that check-valves produces, and described audio signal sample card gathers described audio signal, and the audio signal collected is sent to computer;
Described differential pressure pickup is connected with check-valves, measures the change of pressure differential between 2, check-valves, and described differential pressure signal capture card gathers the variable signal of described pressure differential, and the signal collected is sent to computer;
The described computer variable signal according to the audio signal received and pressure differential, carries out identification to the flow regime of fluids within pipes.
A kind of based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves, comprise the following steps:
(1) set sampling time and sample frequency, gather the audio signal on check-valves and the pressure differential variable signal of 2 on check-valves respectively;
(2) respectively above two signal is carried out empirical mode decomposition, obtain multiple intrinsic mode function components of signal;
(3) each intrinsic mode function component according to original signal, calculates the Hilbert marginal spectrum that each intrinsic mode function component is corresponding;
(4) energy value of the Hilbert marginal spectrum of each intrinsic mode function component and correspondence thereof is calculated respectively; Described energy value represents the energy feature of different flow pattern;
(5) in coordinate diagram, the energy feature of different flow patterns is demarcated, divide different flow pattern distributed areas in coordinate diagram, obtain flow pattern, it is achieved the identification to different flow patterns.
Further, in described step (2), the method that signal carries out empirical mode decomposition is:
S ( t ) = Σ i = 1 n C i + R
Wherein, CiFor intrinsic mode function component, R is trend term.
Further, in described step (3), each intrinsic mode function component of each signal being done Hilbert-Huang transform and obtains the Martin Hilb Mortopl of each intrinsic mode function component, the time is integrated obtaining Hilbert marginal spectrum by Martin Hilb Mortopl.
Further, in described step (4), the time is integrated by each intrinsic mode function component amplitude square of original signal, obtains the energy value of each intrinsic mode function component;
Square summation to Hilbert marginal spectrum amplitude corresponding to each intrinsic mode function component, obtains the energy value of original signal Hilbert marginal spectrum.
Further, in described step (5), divide the method for different flow pattern distributed areas in coordinate diagram particularly as follows:
Measure the energy value of different flow pattern according to practical situation, it is determined that described energy value distributed areas in coordinate diagram, coordinate diagram is carried out the division of different flow pattern.
Beneficial effects of the present invention:
The present invention acquires audio signal and pressure difference signal respectively, and they have been analyzed and processed, and extracts the feature representing different flow pattern in signal, has demarcated in a coordinate system. Achieve with check-valves for object of study, utilize the identification to fluids within pipes flow regime of sound and pressure difference signal. This method is that meteor trail echoes provides an effective approach. Corresponding device has simple in construction, less costly, high accuracy for examination. And utilizing audio frequency model is that non-intrusive mood is measured, and may be used on the inflammable and explosive special occasions such as oil gas transport.
Accompanying drawing explanation
The biphase gas and liquid flow identification system schematic diagram that Fig. 1 is based in check-valves acoustical signal;
The biphase gas and liquid flow identification system schematic diagram that Fig. 2 is based in check-valves differential pressure signal;
Fig. 3 is the flow pattern that the present invention is obtained;
Fig. 4 is the energy value schematic diagram of different flow pattern;
Wherein, 1. check-valves, 2. pipeline, 3. pick up, 4. audio collection card, 5. computer, 6. differential pressure pick-up, 7. differential pressure signal capture card.
Detailed description of the invention:
Below in conjunction with accompanying drawing, the present invention is described in detail:
As depicted in figs. 1 and 2, a kind of based on the biphase gas and liquid flow identification system of fluctuation signal in check-valves, including: pick up, differential pressure pick-up, differential pressure signal capture card, audio signal sample card and computer;
Pick up is directly anchored on check-valves, gathers the audio signal that check-valves produces, and audio signal sample card gathers audio signal, and the audio signal collected is sent to computer;
Differential pressure pickup is connected with check-valves, measures the change of pressure differential between 2, check-valves, and described differential pressure signal capture card gathers the variable signal of described pressure differential, and the signal collected is sent to computer;
The computer variable signal according to the audio signal received and pressure differential, carries out identification to the flow regime of fluids within pipes.
Based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves, comprise the steps:
1) as shown in Figure 1, 2, audio signal and differential pressure signal are obtained by installation pick up and differential pressure pick-up on check-valves.
2) audio signal and differential pressure signal are transferred to computer by data acquisition card.
In a computer, respectively above two signal S (t) is carried out empirical mode decomposition, obtain multiple intrinsic mode functions (IMF) the component C of signal1... a Cn and trend term R.
3) each intrinsic mode function component of each signal is done Hilbert-Huang transform and so can obtain its Martin Hilb Mortopl such as formula 2., be integrated Martin Hilb Mortopl to obtain its Hilbert marginal spectrum such as formula 3..
Wherein, Re represents treating excess syndrome portion, aiAnd ωiRepresent amplitude and frequency, the t express time of i-th intrinsic mode function component.
4) square the time being integrated of each intrinsic mode function component amplitude of original signal, obtains the energy value of each intrinsic mode function component;
Square summation to Hilbert marginal spectrum amplitude corresponding to each intrinsic mode function component, obtains the energy value of original signal Hilbert marginal spectrum;
Calculate and obtain intrinsic mode function component and the energy value of Hilbert marginal spectrum, analyze the energy feature that can represent different flow patterns.
5) in coordinate diagram, the energy of different flow patterns is demarcated, divide different flow pattern distributed areas in coordinate diagram, obtain flow pattern.
Measure the energy value of different flow pattern according to practical situation, see it is distributed in which region of coordinate diagram, then coordinate diagram is divided. As shown in Figure 4, accuracy reaches more than 90%.
In experimentation, when fluid flow through check-valves reach flow pattern stablize time, pick up and differential pressure pickup start to gather signal, and by data acquisition card, obtained signal is transferred to computer.
Set sampling time and frequency in a computer, obtained signal is sampled. Then sampled signal is carried out empirical mode decomposition, obtain multiple intrinsic mode function components of signal. Each intrinsic mode function component is done Hilbert-Huang transform and correlation computations, just can obtain the Hilbert marginal spectrum of signal.
To square being integrated of intrinsic mode function component and Hilbert marginal spectrum amplitude, the energy value of they correspondences just can be obtained. Research finds, in this experiment, the energy of signal margin spectrum and the energy of the 6th intrinsic mode function component can characterize the feature of different flow pattern. It should be noted that different situations, choosing of intrinsic mode function component is likely to difference.
Therefore both energy features are chosen in this experiment, different flow patterns have been demarcated in a coordinate system, has obtained flow pattern, as shown in Figure 3, it is achieved that the identification to different flow patterns.
The specific embodiment of the present invention is described in conjunction with accompanying drawing although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme, those skilled in the art need not pay various amendments or deformation that creative work can make still within protection scope of the present invention.

Claims (6)

1., based on a biphase gas and liquid flow identification system for fluctuation signal in check-valves, it is characterized in that, including: pick up, differential pressure pick-up, differential pressure signal capture card, audio signal sample card and computer;
Described pick up is directly anchored on check-valves, gathers the audio signal that check-valves produces, and described audio signal sample card gathers described audio signal, and the audio signal collected is sent to computer;
Described differential pressure pickup is connected with check-valves, measures the change of pressure differential between 2, check-valves, and described differential pressure signal capture card gathers the variable signal of described pressure differential, and the signal collected is sent to computer;
The described computer variable signal according to the audio signal received and pressure differential, carries out identification to the flow regime of fluids within pipes.
2., based on a biphase gas and liquid flow discrimination method for fluctuation signal in check-valves, it is characterized in that, comprise the following steps:
(1) set sampling time and sample frequency, gather the audio signal on check-valves and the pressure differential variable signal of 2 on check-valves respectively;
(2) respectively above two signal is carried out empirical mode decomposition, obtain multiple intrinsic mode function components of signal;
(3) each intrinsic mode function component according to original signal, calculates the Hilbert marginal spectrum that each intrinsic mode function component is corresponding;
(4) energy value of each intrinsic mode function component and original signal Hilbert marginal spectrum is calculated respectively; Described energy value represents the energy feature of different flow pattern;
(5) in coordinate diagram, the energy feature of different flow patterns is demarcated, divide different flow pattern distributed areas in coordinate diagram, obtain flow pattern, it is achieved the identification to different flow patterns.
3. a kind of as claimed in claim 2 it is characterized in that based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves, in described step (2), the method that signal carries out empirical mode decomposition is:
S ( t ) = Σ i = 1 n C i + R ;
Wherein, CiFor intrinsic mode function component, R is trend term.
4. a kind of based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves as claimed in claim 2, it is characterized in that, in described step (3), each intrinsic mode function component of each signal is done Hilbert-Huang transform and obtains its Martin Hilb Mortopl, Martin Hilb Mortopl is integrated obtaining the Hilbert marginal spectrum of signal.
5. a kind of based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves as claimed in claim 2, it is characterized in that, in described step (4), square the time being integrated of each intrinsic mode function component amplitude of original signal, obtains the energy value of each intrinsic mode function component;
Square summation to Hilbert marginal spectrum corresponding to each intrinsic mode function component, obtains the energy value of original signal Hilbert marginal spectrum.
6. a kind of as claimed in claim 2 it is characterized in that based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves, in described step (5), divide the method for different flow pattern distributed areas in coordinate diagram particularly as follows:
Measure the energy value of different flow pattern according to practical situation, it is determined that described energy value distributed areas in coordinate diagram, coordinate diagram is carried out the division of different flow pattern.
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JPH09257636A (en) * 1996-03-22 1997-10-03 Mitsubishi Heavy Ind Ltd Circular stream tank
CN1563940A (en) * 2004-04-02 2005-01-12 浙江大学 Method of recogniting flowing type of level pipe gas/liquid 2-phase flow based on Hilbert-Huang conversion
JP2005501259A (en) * 2001-08-22 2005-01-13 リカルド ユーケー リミテッド Flow visualization
CN103543210A (en) * 2013-11-14 2014-01-29 南京航空航天大学 Pressurized pneumatic transmission flow type detection device and method based on acoustic emission technology
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Patent Citations (5)

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JPH09257636A (en) * 1996-03-22 1997-10-03 Mitsubishi Heavy Ind Ltd Circular stream tank
JP2005501259A (en) * 2001-08-22 2005-01-13 リカルド ユーケー リミテッド Flow visualization
CN1563940A (en) * 2004-04-02 2005-01-12 浙江大学 Method of recogniting flowing type of level pipe gas/liquid 2-phase flow based on Hilbert-Huang conversion
CN103543210A (en) * 2013-11-14 2014-01-29 南京航空航天大学 Pressurized pneumatic transmission flow type detection device and method based on acoustic emission technology
CN103674478A (en) * 2013-12-11 2014-03-26 中国石油大学(华东) Low-gas-content gas-liquid two phase flow pattern identifying method

Non-Patent Citations (3)

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Address after: 314000 603, Building 4, North District, No. 2777, Renmin Avenue, Xucun Town, Haining City, Jiaxing City, Zhejiang Province (self declaration)

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Address before: 250061, No. ten, No. 17923, Lixia District, Ji'nan City, Shandong Province

Patentee before: SHANDONG University