CN105675256B - Biphase gas and liquid flow identification system and method based on fluctuation signal in check-valves - Google Patents

Biphase gas and liquid flow identification system and method based on fluctuation signal in check-valves Download PDF

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CN105675256B
CN105675256B CN201610184112.6A CN201610184112A CN105675256B CN 105675256 B CN105675256 B CN 105675256B CN 201610184112 A CN201610184112 A CN 201610184112A CN 105675256 B CN105675256 B CN 105675256B
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signal
check
valves
function component
mode function
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CN105675256A (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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    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M10/00Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
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Abstract

The invention discloses a kind of biphase gas and liquid flow identification system and method based on fluctuation signal in check-valves, it include: that sound pick-up is directly anchored on check-valves, acquire the audio signal that check-valves generates, audio signal sample card acquires the audio signal, and collected audio signal is sent to computer;Differential pressure pickup is connect with check-valves, measures the variation of pressure difference between check-valves two o'clock, differential pressure signal capture card acquires the variable signal of the pressure difference, and collected signal is sent to computer;Computer recognizes the flow regime of fluids within pipes according to the audio signal received and the variable signal of pressure difference;The invention has the advantages that: the identifications realized using check-valves as research object, using sound and pressure difference signal to fluids within pipes flow regime.

Description

Biphase gas and liquid flow identification system and method based on fluctuation signal in check-valves
Technical field
The present invention relates to technical field of multiphase flow measurement more particularly to a kind of gas-liquids two based on fluctuation signal in check-valves Mutually stream identification system and method.
Background technique
Two phase flow is widely present in the industrial departments such as the energy, chemical industry, metallurgy, and the different flow regimes of fluid were for producing Mode of operation, operation stability and control of product quality in journey etc. all have great importance, therefore for two phase flow signals Research and analysis are always one extremely important and obtain the project of extensive concern.Traditional flow type identification method higher cost, Application conditions are harsh.And in order to obtain signal, it is intrusive measurement mostly, is not suitable for inflammable and explosive special occasions.
Check-valves is also known as check valve or non-return valve, and effect is to prevent the medium in pipeline from flowing backwards.Check-valves is widely applied In industrial production and daily life.The study found that the flowing of the sound and Pressure Fluctuation Signal and fluid that are generated in check-valves State is closely related.Not only cost of implementation is low, has a wide range of application for this method application, but also is non-invade to the extraction of voice signal Enter formula, can be applied to the inflammable and explosive special occasions such as oil gas.
Summary of the invention
The object of the invention is to provide a kind of gas-liquid based on fluctuation signal in check-valves to solve above-mentioned problem Two phase flow identification system and method flow fluids within pipes using sound and pressure difference signal using check-valves as research object State is recognized, and may be used on the inflammable and explosive special occasions such as oil gas transport.
To achieve the above object, concrete scheme of the invention is as follows:
A kind of biphase gas and liquid flow identification system based on fluctuation signal in check-valves, comprising: sound pick-up, differential pressure pick-up, Differential pressure signal capture card, audio signal sample card and computer;
The sound pick-up is directly anchored on check-valves, and the audio signal that acquisition check-valves generates, the audio signal is adopted Truck acquires the audio signal, and collected audio signal is sent to computer;
The differential pressure pickup is connect with check-valves, measures the variation of pressure difference between check-valves two o'clock, the differential pressure letter Number capture card acquires the variable signal of the pressure difference, and collected signal is sent to computer;
The computer is according to the audio signal received and the variable signal of pressure difference, to the flowing shape of fluids within pipes State is recognized.
A kind of biphase gas and liquid flow discrimination method based on fluctuation signal in check-valves, comprising the following steps:
(1) sampling time and sample frequency are set, acquires two o'clock on audio signal and the check-valves on check-valves respectively Pressure difference variable signal;
(2) empirical mode decomposition is carried out to above two signal respectively, obtains multiple intrinsic mode function components of signal;
(3) according to each intrinsic mode function component of original signal, it is corresponding uncommon to calculate each intrinsic mode function component That Bert marginal spectrum;
(4) energy value of each intrinsic mode function component and its corresponding Hilbert marginal spectrum is calculated separately;It is described Energy value represents the energy feature of different flow patterns;
(5) energy feature of different flow patterns is demarcated in coordinate diagram, divides point of the different flow patterns in coordinate diagram Cloth region obtains flow pattern, realizes the identification to different flow patterns.
Further, in the step (2), to the method for signal progress empirical mode decomposition are as follows:
Wherein, CiFor intrinsic mode function component, R is trend term.
Further, in the step (3), Hilbert xanthochromia is done to each intrinsic mode function component of each signal It gets the Martin Hilb Mortopl of each intrinsic mode function component in return, is integrated to obtain Hilbert side between Martin Hilb Mortopl clock synchronization Border spectrum.
Further, in the step (4), each intrinsic mode function component amplitude square of original signal carries out the time Integral, obtains the energy value of each intrinsic mode function component;
Square summation to the corresponding Hilbert limit spectral amplitude of each intrinsic mode function component, it is uncommon to obtain original signal The energy value of your Bert marginal spectrum.
Further, in the step (5), the method that divides distributed areas of the different flow patterns in coordinate diagram specifically:
The energy value for measuring different flow patterns according to the actual situation determines distributed areas of the energy value in coordinate diagram, The division of different flow patterns is carried out to coordinate diagram.
Beneficial effects of the present invention:
The present invention acquires audio signal and pressure difference signal respectively, and has carried out analysis processing to them, extracts in signal The feature for representing different flow patterns, is demarcated in a coordinate system.It realizes using check-valves as research object, utilizes sound and pressure Identification of the difference signal to fluids within pipes flow regime.This method provides an effective approach for meteor trail echoes.Accordingly Device is simple with structure, cost is relatively low, high accuracy for examination.And using audio model be it is non-it is intrusive measure, can answer Use the inflammable and explosive special occasions such as oil gas transport.
Detailed description of the invention
Fig. 1 is the biphase gas and liquid flow identification system schematic diagram based on voice signal in check-valves;
Fig. 2 is the biphase gas and liquid flow identification system schematic diagram based on differential pressure signal in check-valves;
Fig. 3 is the obtained flow pattern of the present invention;
Fig. 4 is the energy value schematic diagram of different flow patterns;
Wherein, 1. check-valves, 2. pipelines, 3. sound pick-ups, 4. audio collection cards, 5. computers, 6. differential pressure pick-ups, 7. is poor Press data acquisition card.
Specific embodiment:
The present invention is described in detail with reference to the accompanying drawing:
As depicted in figs. 1 and 2, a kind of biphase gas and liquid flow identification system based on fluctuation signal in check-valves, comprising: pickup Device, differential pressure pick-up, differential pressure signal capture card, audio signal sample card and computer;
Sound pick-up is directly anchored on check-valves, the audio signal that acquisition check-valves generates, the acquisition of audio signal sample card Audio signal, and collected audio signal is sent to computer;
Differential pressure pickup is connect with check-valves, measures the variation of pressure difference between check-valves two o'clock, and the differential pressure signal is adopted Truck acquires the variable signal of the pressure difference, and collected signal is sent to computer;
Computer according to the audio signal received and the variable signal of pressure difference, to the flow regimes of fluids within pipes into Row identification.
Based on the biphase gas and liquid flow discrimination method of fluctuation signal in check-valves, include the following steps:
1) audio signal and difference as shown in Figure 1, 2, have been obtained by installing sound pick-up and differential pressure pick-up on check-valves Press signal.
2) audio signal and differential pressure signal are transferred to computer by data acquisition card.
In a computer, empirical mode decomposition is carried out to above two signal S (t) respectively, obtains the multiple intrinsic of signal Mode function (IMF) component C1... Cn and trend term R.
3) doing Hilbert-Huang transform so to each intrinsic mode function component of each signal can be obtained its Hilbert 2., 3. carry out integral to Martin Hilb Mortopl can be obtained its Hilbert marginal spectrum such as formula to general such as formula.
Wherein, Re expression takes real part, aiAnd ωiThe amplitude and frequency of i-th of intrinsic mode function component are indicated, when t is indicated Between.
4) each intrinsic mode function component amplitude of original signal square integrates the time, obtains each eigen mode The energy value of state function component;
Square summation to the corresponding Hilbert limit spectral amplitude of each intrinsic mode function component, it is uncommon to obtain original signal The energy value of your Bert marginal spectrum;
The energy value of intrinsic mode function component and Hilbert marginal spectrum is calculated, analysis can represent different flow patterns Energy feature.
5) energy of different flow patterns is demarcated in coordinate diagram, divides distributed area of the different flow patterns in coordinate diagram Domain obtains flow pattern.
The energy value for measuring different flow patterns according to the actual situation, sees it is distributed in which region of coordinate diagram, then to seat It marks on a map and is divided.As shown in figure 4, accuracy reaches 90% or more.
In experimentation, when fluid, which flows through check-valves, reaches flow pattern stabilization, sound pick-up and differential pressure pickup start to acquire Signal, and obtained signal is transferred to computer by data acquisition card.
Sampling time and frequency are set in a computer, and obtained signal is sampled.Then to sampled signal Empirical mode decomposition is carried out, multiple intrinsic mode function components of signal are obtained.Xi Er is done to each intrinsic mode function component Bert Huang and relevant calculation can obtain the Hilbert marginal spectrum of signal.
To square integrating for intrinsic mode function component and Hilbert limit spectral amplitude, them can be obtained and corresponded to Energy value.The study found that the energy of signal margin is composed in this experiment energy and the 6th intrinsic mode function component can be with Characterize the feature of different flow patterns.It should be noted that different situations, the selection of intrinsic mode function component may be different.
Therefore both energy features are chosen in this experiment, are demarcated, are flowed in a coordinate system to different flow patterns Type figure, as shown in figure 3, realizing the identification to different flow patterns.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.

Claims (4)

1. a kind of biphase gas and liquid flow discrimination method based on fluctuation signal in check-valves, characterized in that the following steps are included:
(1) sampling time and sample frequency are set, acquires the pressure of two o'clock on audio signal and the check-valves on check-valves respectively Power difference variable signal;
(2) empirical mode decomposition is carried out to above two signal respectively, obtains multiple intrinsic mode function components of signal;
(3) according to each intrinsic mode function component of original signal, the corresponding Martin Hilb of each intrinsic mode function component is calculated Special marginal spectrum;
(4) energy value of each intrinsic mode function component and original signal Hilbert marginal spectrum is calculated separately;The energy value Represent the energy feature of different flow patterns;
(5) energy feature of different flow patterns is demarcated in coordinate diagram, divides distributed area of the different flow patterns in coordinate diagram Domain obtains flow pattern, realizes the identification to different flow patterns;The specific energy and the 6th intrinsic mode for choosing signal margin spectrum Both energy features of the energy of function component, demarcate different flow patterns in a coordinate system, obtain flow pattern;
In the step (5), the method that divides distributed areas of the different flow patterns in coordinate diagram specifically:
The energy value for measuring different flow patterns according to the actual situation determines distributed areas of the energy value in coordinate diagram, to seat It marks on a map and carries out the division of different flow patterns.
2. a kind of biphase gas and liquid flow discrimination method based on fluctuation signal in check-valves as described in claim 1, characterized in that In the step (2), to the method for signal progress empirical mode decomposition are as follows:
Wherein, CiFor intrinsic mode function component, R is trend term.
3. a kind of biphase gas and liquid flow discrimination method based on fluctuation signal in check-valves as described in claim 1, characterized in that In the step (3), Hilbert-Huang transform is done to each intrinsic mode function component of each signal and obtains its Hilbert It is general, Martin Hilb Mortopl is integrated to obtain the Hilbert marginal spectrum of signal.
4. a kind of biphase gas and liquid flow discrimination method based on fluctuation signal in check-valves as described in claim 1, characterized in that In the step (4), square integrating to the time for each intrinsic mode function component amplitude of original signal obtains each Levy the energy value of mode function component;
Square summation to the corresponding Hilbert marginal spectrum of each intrinsic mode function component, obtains original signal Hilbert side The energy value of border spectrum.
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CN1316241C (en) * 2004-04-02 2007-05-16 浙江大学 Method of recogniting flowing type of level pipe gas/liquid 2-phase flow based on Hilbert-Huang conversion
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