CN117029946A - Dual-parameter wet gas-liquid two-phase flow measurement method based on MEMS triaxial acceleration sensor - Google Patents
Dual-parameter wet gas-liquid two-phase flow measurement method based on MEMS triaxial acceleration sensor Download PDFInfo
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Abstract
The application discloses a double-parameter wet gas-liquid two-phase flow measuring method based on an MEMS triaxial acceleration sensor, which provides an iterative algorithm, and utilizes the relation between a differential signal main frequency and single-phase gas flow and the relation between a wet gas acceleration vector module value and the wet gas liquid phase volume content rate to realize the simultaneous measurement of the measured wet gas two-phase flow. Mainly comprises the following steps: the method comprises the steps of measuring the flow rate of wet two-phase flow in a pipeline through a precession vortex flowmeter, collecting triaxial electrical signal output, performing differential processing at the same time, and extracting the vortex precession frequency of the differential signal; converting the triaxial electrical signals into triaxial acceleration signals, and performing vector synthesis to obtain a moisture acceleration vector module value; and finally obtaining the gas phase volume flow rate, the liquid phase volume flow rate and the liquid phase volume flow rate of the measured moisture by using the relation between the main frequency of the differential signal and the single-phase gas flow rate and the relation between the moisture acceleration vector module value and the moisture liquid phase volume flow rate through an iterative algorithm, so as to realize the measurement of the two-phase flow rate of the measured moisture.
Description
Technical Field
The application belongs to the technical field of flow measurement, and relates to a double-parameter wet gas-liquid two-phase flow measurement method based on an MEMS triaxial acceleration sensor.
Background
The wet gas two-phase flow is widely used in the fields of petroleum, natural gas, power generation, aerospace and the like, and generally refers to a gas-liquid two-phase flow with a volume gas content of more than 95% or a Lockhart-Martinelli parameter of not more than 0.3. Of the three types of moisture defined by the American Petroleum Institute (API), category I moisture refers to ultra low liquid fraction moisture having a Lockhart-Martinelli parameter of no more than 0.02, or a liquid phase volume fraction (LVF) of less than 0.5%. In China, class I moisture is typically present in the produced gas at the wellhead of a low permeability gas field, and is typically directly metered using a single phase gas meter such as a precession vortex flowmeter and is not corrected. The precession vortex flowmeter is used as a speed flowmeter, adopts an advanced micro-processing technology, has the advantages of strong function, wide flow range, simple operation and maintenance, convenient installation and use and the like, and is widely applied to industries such as petroleum, chemical industry, electric power, metallurgy, urban gas supply and the like.
The precession vortex flowmeter realizes flow measurement according to the vortex precession principle of forced vibration. However, when a single-phase precession vortex flowmeter is applied to wet gas flow measurement, the vortex precession frequency is generally reduced along with the increase of the volume content of the liquid phase under the influence of the liquid phase entrainment in the gas phase, so that the predicted gas phase flow is generally lower; the liquid phase will also affect the precession characteristics of the precession vortex, destroying the stability of the precession nuclei and thus affecting the reliability of the flow measurement. Therefore, scholars at home and abroad make many attempts in the aspect of moisture precession vortex flow measurement so as to improve the accuracy of the flowmeter when being used for moisture measurement. As in document [1 ]]In studying the measurement characteristics of a precession vortex flowmeter in low pressure moisture, hua et al found that the gas flow readings were prone to negative deviations when entrained droplets were present in the gas phase, as is the case for Luo Ma Canshu X LM When the number is greater than a certain level (X LM >0.12 The vortex precession disappears, the precession vortex flowmeter cannot work normally, and finally, the moisture metering model is corrected through the Luo Ma Canshu and the gas density Froude number, so that a gas phase flow prediction model of the precession vortex flowmeter is established, and the method can be used for X LM Moisture vapor flow metering of less than or equal to 0.12. Subsequently, document [2]Hua and Geng propose a metering model combining precession frequency of precession vortex flowmeter with differential pressure, moisture meteringThe performance is improved. Document [3]Xu Ying et al found that when the volumetric liquid content is greater than 0.50% by connecting differential pressure transmitters in parallel across the precession vortex flowmeter, the precession signal of the vortex is destroyed due to the excessive liquid phase flow, resulting in distortion of the measurement result of the precession vortex flowmeter. By adding the dimensionless moisture correction term in the form of a power exponent, a dual model of frequency and pressure drop parameters is established, so that the moisture measurement capability of the precession vortex flowmeter is further improved. Patent CN 216081610U is to measure the mixed flow of water vapor and natural gas, a pressure sensor is added in the fluid flow cavity of the precession vortex flowmeter along the flow direction of the fluid, a throttling element is arranged between the two pressure sensors to generate differential pressure between the upstream and downstream of the throttling element, the differential pressure is obtained after the pressure treatment of the upstream and downstream of the throttling element is detected by the two pressure sensors, the volume flow of the fluid is detected by a precession frequency detecting element, the flow integrating instrument can calculate the respective flow of each component in the mixed multiphase flow according to the parameters such as pressure, temperature, differential pressure, volume flow and the like acquired by the sensors, and the precession frequency detecting element is still a piezoelectric crystal, and has complex structure, more sensors are needed, and higher cost.
The piezoelectric sensor used by the existing precession vortex flowmeter has the problem that vortex precession signals and interference noise signals are difficult to distinguish at the same time, and great difficulty is increased for subsequent signal processing and precession frequency extraction. Moreover, the research results are based on the frequency expansion of the vortex precession signals, only a flow measurement model based on the vortex precession frequency single parameter can be established, if the flow of the wet two-phase flow is required to be measured, other sensors such as a differential pressure sensor are required to be connected in series outside the precession vortex flowmeter, and the pipeline installation structure is complex. With the rapid development of MEMS technology of a micro-electromechanical system, the wide application of MEMS triaxial acceleration sensing technology provides new possibility for vortex precession signal detection. According to the difference of the vortex precession signals and the acting force directions of fluid pulsation noise, pipeline mechanical vibration and other various interference noise signals, the interference noise can be effectively eliminated based on the double differential technology of triaxial measurement of the triaxial acceleration sensor. In addition, the acceleration sensor replaces the traditional piezoelectric sensor, vortex precession signal measurement in the three-dimensional space of the pipeline can be realized, and more valuable fluid information such as fluid acceleration amplitude, frequency and the like in each axial direction can be obtained. At present, the research on vortex precession acceleration is less, but the vortex precession acceleration can be also used for establishing the relation between the vortex precession acceleration and the flow of the fluid to be measured, so that new support is provided for the establishment of a wet gas-liquid two-phase flow prediction model through the double parameters of the vortex precession signal differential main frequency and the acceleration vector modulus value.
[1]Chenquan Hua,Yanfeng Geng.Investigation on the swirlmeter performance in low pressure wet gas flow[J].
Measurement,2011,44(5).
[2]Chenquan Hua,Yanfeng Geng.Wet gas meter based on the vortex precession frequency and differentialpressure combination ofswirlmeter[J].Measurement,2012,45(4).
[3] Xu Ying, wang Senling, zhang Tao, liu, bay Li, ultra-low liquid content moisture double parameter measurement method based on dual model [ J ]. Tianjin university
Instructions, 2022,55 (07): 665-671.
Disclosure of Invention
The application aims to provide a double-parameter wet gas-liquid two-phase flow measuring method based on an MEMS triaxial acceleration sensor.
The application aims at realizing the following technical scheme:
a dual-parameter wet gas-liquid two-phase flow measurement method based on a MEMS triaxial acceleration sensor is based on a precession vortex flowmeter provided with a triaxial acceleration sensor, and a temperature-pressure integrated sensor is arranged at the throat part of the flowmeter; in a triaxial acceleration sensor, a fluid main impact axis is defined as the axis of fluid main impact in accordance with the direction of fluid; a definition consistent with the direction of insertion of the pipe is an auxiliary measuring axis; the definition of a plane perpendicular to the direction of fluid and the direction of insertion is a precession vortex sensitive axis; when pipeline flow measurement is carried out through the precession vortex flowmeter, vortex precession frequency signals and acceleration signals obtained in the triaxial acceleration sensor are characterized by comprising the following steps:
(1) Collecting the pressure and the temperature of an experimental pipeline through a temperature-pressure integrated sensor, carrying out wet gas-liquid two-phase flow measurement through a precession vortex flowmeter, collecting three-axis electric signal output, and eliminating the gravity bias voltage in an auxiliary measuring shaft output signal;
(2) Performing differential processing on an output signal of a vortex sensitive shaft or a fluid main impact shaft and an output signal of an auxiliary measuring shaft after eliminating gravity bias voltage, and extracting a main frequency of the differential signal by utilizing fast Fourier transform;
(3) The precession vortex triaxial electrical signal output after eliminating the gravity bias voltage is converted into a corresponding triaxial acceleration signal through relevant parameters such as sensor sensitivity and the like;
(4) Vector synthesis is carried out on the triaxial acceleration signals to obtain a moisture acceleration vector module value;
(5) Calculating gas phase density and liquid phase density according to the pressure and temperature in the pipeline; obtaining uncorrected gas phase volume flow and gas surface flow rate by utilizing the relation between the main frequency of the differential signal and the gas flow rate;
(6) According to the calculated gas phase volume flow and gas apparent flow rate, calculating to obtain dimensionless parameters representing the wet gas phase volume flow;
(7) Calculating an uncorrected acceleration vector model according to dimensionless parameters representing the volume flow of the wet gas phase; carrying out dimensionless treatment on the moisture acceleration vector module value in the step (4) through an uncorrected acceleration vector module value;
(8) Fitting according to a dimensionless moisture acceleration vector module value to obtain dimensionless parameters representing the moisture liquid phase volume content;
(9) Fitting according to dimensionless parameters representing the volume and the content of the wet gas phase, representing the ratio of the dimensionless parameters of the volume flow of the wet gas phase to the density of the liquid to obtain a wet gas correction factor of the meter coefficient of the precession vortex flowmeter, and calculating to obtain corrected volume flow of the gas phase;
(10) Repeating the steps (6) - (9) until the relative error between the gas phase volume flow obtained twice reaches a proper level, and considering that the iteration converges to finally obtain the gas phase volume flow of the measured moisture and the dimensionless parameter representing the moisture liquid phase volume content, and further obtaining the liquid phase volume flow and the liquid phase volume content through simple conversion and calculation to realize the measurement of the measured moisture two-phase flow.
Further, in the steps (1) - (4), moisture gas-liquid two-phase flow measurement is performed through a precession vortex flowmeter, three-axis electric signal output is collected, gravity bias voltage in auxiliary measurement axis output signals is eliminated, electric signal output on each axis is converted into corresponding three-axis acceleration signals, and finally vector synthesis is performed to obtain a moisture acceleration vector module value, wherein the specific formula is as follows:
wherein a is i G is an acceleration signal on each axis; u (U) i V is an output voltage signal on each axis; s is S g The sensitivity of the acceleration sensor chip is V/g; u (U) 0 The gravity bias voltage V of the acceleration sensor chip is used as the gravity bias voltage V;is the moisture acceleration vector modulus, g.
Obtaining uncorrected gas phase volume flow and gas surface flow rate by utilizing the relation between the main frequency of the differential signal and the gas flow rate in the steps (5) - (6), and calculating to obtain dimensionless parameters representing the wet gas phase volume flow rate, wherein the specific formula is as follows:
ξ～f(Q g,forecast )
in which Q g,forecast For predicting gas phase volume flow under wet gas working condition, m 3 /h; f is the main vortex precession frequency of the differential signal, hz; k is an instrument output coefficient under the dry gas working condition; d is the diameter of the pipeline, m; u (u) sg Is the apparent flow rate of the gas phase, m/s; ζ is a dimensionless parameter characterizing the volumetric flow of the wet gas phase.
Step (7) calculating an uncorrected acceleration vector module according to a dimensionless parameter representing the volume flow of the wet gas phase, and carrying out dimensionless treatment on the wet gas acceleration vector module in step (4) through the uncorrected acceleration vector module, wherein the specific formula is as follows:
in the method, in the process of the application,an uncorrected acceleration vector model value g calculated from the uncorrected gas phase volume flow; a is that * Is a dimensionless acceleration vector model value.
In the step (8), fitting to obtain dimensionless parameters representing the volume content of the moisture liquid phase according to dimensionless moisture acceleration vector module values, wherein the dimensionless parameters represent the volume content of the moisture liquid phase according to the specific formula:
A * ～f(LVF)～f(ζ)
wherein LVF is moisture liquid phase volume fraction; ζ is a dimensionless parameter characterizing the volumetric content of the wet gas liquid phase.
In the step (9), according to the dimensionless parameter representing the volume and the content of the wet gas liquid phase, the dimensionless parameter representing the volume and the content ratio of the wet gas phase to the liquid gas density is fitted to obtain a wet gas correction factor screwed into the meter coefficient of the vortex flowmeter, and the corrected volume and the flow of the gas phase are obtained by calculation, wherein the specific formula is as follows:
UR～f(ξ,ζ,DR)
wherein UR is a moisture correction factor of the meter coefficient of the precession vortex flowmeter; DR is the dimensionless liquid-gas density ratio; q (Q) g For the volume flow of the gas phase, m 3 /h。
The application also provides a double-parameter moisture flow measuring device based on the MEMS triaxial acceleration sensor, which comprises:
the triaxial acceleration sensor is combined with the pressure and temperature integrated sensor and is used for measuring the flow of the pipeline;
the power module is provided with a direct-current bias voltage output end and is used for filtering out the gravity bias voltage caused by the earth gravity acceleration;
a computing unit 1 for performing differential processing on output signals of different axes in the triaxial acceleration sensor; the main frequency of the differential signal is obtained through Fourier transformation;
the computing unit 2 converts different electric output signals in the triaxial acceleration sensor into corresponding triaxial acceleration signals through relevant parameters such as sensor sensitivity and the like; vector synthesis is carried out on acceleration signals on the three axes, so that an acceleration vector module value is obtained;
and the wet gas flow solving unit is used for solving a double-parameter wet gas-liquid two-phase flow measuring method based on the MEMS triaxial acceleration sensor and established by a dimension analysis method and an iterative solving algorithm. The application also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the moisture flow measurement method when executing the program.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the moisture flow measurement method.
Compared with the prior art, the technical scheme of the application has the following beneficial effects:
1. the method can meet the moisture flow measurement requirement of a wider range, ensure strong vortex precession signals of each shaft and accurate measurement, realize the replacement of the traditional piezoelectric ceramic crystal technology and popularize the application field of moisture flow measurement.
2. The method can realize the measurement of the precession vortex signals of the pipeline fluid in three axial directions, realize the extraction of the amplitudes and the frequencies of the vortex precession signals in the three axial directions and the differential signals thereof, and effectively overcome various other interference noise signals such as fluid pulsation noise, pipeline mechanical vibration and the like by utilizing the differential signal processing method. The flow measurement accuracy is improved while the signal processing and optimization algorithm is simplified, the lower limit of flow measurement is reduced, and the flow measurement range is widened.
3. According to the method, the moisture correction factor of the meter coefficient of the precession vortex flowmeter is introduced, the moisture metering model of the precession vortex flowmeter is built by utilizing the single-phase meter coefficient and the moisture correction factor based on a dimension analysis method, so that the measurement of the moisture gas phase flow is realized, and the prediction accuracy is high.
4. The method utilizes the amplitude of the precession vortex precession signal acquired by the MEMS triaxial acceleration sensing technology, namely the three-dimensional fluid vector acceleration information, realizes the measurement of the liquid phase volume content of the moisture, and provides a new measurement scheme for the moisture two-phase flow measurement of the precession vortex flowmeter.
5. The method of the application realizes the flow measurement of the wet gas two-phase flow by only relying on a single precession vortex flowmeter and a single MEMS triaxial acceleration sensor, establishes a gas-liquid two-phase flow prediction model, does not need to measure the volume content of liquid phase by an external system, and provides a wet gas-liquid two-phase measurement scheme which has simple structure, simple algorithm and low cost and is suitable for on-line measurement.
Drawings
FIG. 1 is a schematic flow chart of an iterative algorithm of the present application;
FIG. 2 is a schematic diagram of a mounting position of a triaxial acceleration sensor in a pipeline according to an embodiment of the present application;
FIG. 3 is a graph showing the relationship between the swirl frequency and the gas phase volume flow rate according to an embodiment of the present application;
FIG. 4 is a graph showing the relationship between the vortex precession frequency and the liquid phase volume content according to the embodiment of the present application;
FIG. 5 is a graph showing the relationship between the dimensionless acceleration vector module value and the liquid phase volume content;
fig. 6a to 6c show the fitting relative errors of the precession vortex flowmeter wet two-phase flow metering model according to the present application.
Reference numerals: 1-a spinning device; 2-precession vortex flowmeter; 3-derotator; a 4-triaxial acceleration sensor; 5-an auxiliary measuring shaft; 6-fluid main impact shaft; 7-precessing into a vortex sensitive axis; 8-warm-pressing integrated sensor
Detailed Description
The application is described in further detail below with reference to the drawings and the specific examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment provides a dual-parameter wet gas-liquid two-phase flow measuring method based on a MEMS triaxial acceleration sensor, which is based on a precession vortex flowmeter provided with the triaxial acceleration sensor, as shown in fig. 2, a gyrator 1 and a despin 3 are arranged at the front end and the rear end of the precession vortex flowmeter 2, a triaxial acceleration sensor 4 is arranged on the precession vortex flowmeter 2, and when the pipeline flow measurement is carried out through the precession vortex flowmeter 2, the definition of the flow direction consistent with the fluid direction in the triaxial acceleration sensor 4 is a fluid main impact shaft 6; a definition consistent with the direction of insertion of the pipe is an auxiliary measuring axis 5; a plane perpendicular to the direction of fluid and the direction of insertion is defined as a precession vortex sensitive axis 7; the throat of the flowmeter is provided with a temperature and pressure integrated sensor 8. When the wet gas flow of the pipeline is measured, vortex precession frequency signals and acceleration signals are obtained through a triaxial acceleration sensor, a dual-parameter wet gas two-phase flow prediction model is established, the process is shown in fig. 1, and the method specifically comprises the following steps:
1) The temperature and pressure integrated sensor 8 is used for collecting the pressure P and the temperature T of an experimental pipeline, the vortex flowmeter is screwed in to measure the wet gas-liquid two-phase flow, the triaxial electrical signal is collected and output, and the gravity bias voltage in the output signal of the auxiliary measuring shaft 5 (Y-axis) is eliminated;
2) Differential processing is carried out on the output signal of the precession vortex sensitive axis 7 (Z axis) and the output signal of the auxiliary measuring axis 5 (Y axis) after the gravity bias voltage is eliminated, and the main frequency f of the differential signal is extracted by utilizing the fast Fourier transform Z-Y ；
3) The electric signals of the vortex precession triaxial 5,6,7 after eliminating the gravity bias voltage are output and converted into corresponding triaxial acceleration signals through relevant parameters such as sensor sensitivity;
4) Vector synthesis is carried out on the triaxial acceleration signals to obtain a moisture acceleration vector module value
5) Calculating gas phase density ρ according to pressure P and temperature T in pipeline g And density ρ of liquid phase l The method comprises the steps of carrying out a first treatment on the surface of the Using the main frequency f of the differential signal Z-Y Relationship with gas flow to obtain uncorrected gas phase volume flow Q g,forecast And gas superficial flow velocity u sg ；
6) Based on the calculated gas phase volume flow Q g,forecast And gas superficial flow velocity u sg Calculating to obtain gas-phase Fr g ；
7) According to the Fr number of the gas phase g Calculating an uncorrected acceleration vector modelAnd the moisture acceleration vector module value obtained in the step (4) is added>Performing dimensionless treatment to obtain dimensionless moistureAcceleration vector modulus A * ；
8) According to dimensionless moisture acceleration vector modulus A * Fitting to obtain a Lockhart-Martinelli parameter X LM ；
9) According to the Lockhart-Martinelli parameter X LM Gas phase Fr number g Fitting with the liquid-gas density ratio DR to obtain a precession vortex flowmeter gas phase flow correction factor UR, and calculating to obtain corrected gas phase volume flow Q g ；
10 Repeating the steps (6) - (9) until the relative error between the gas phase volume flows obtained in the two steps reaches a proper level, and considering the iteration to be converged, and finally obtaining the gas phase volume flow of the measured moisture and the Lockhart-Martinelli parameter X LM Can further obtain the liquid phase volume flow Q through simple conversion and calculation l And the volume fraction LVF of the liquid phase realizes the measurement of the flow rate of the two phases of the moisture to be measured.
In this embodiment, the probe in which the triaxial acceleration sensor 4 is packaged is mounted in a precession vortex flowmeter with a gyrator 1 and a despin 3, wherein the body of the precession vortex flowmeter 2 resembles a venturi tube. The throat of the flowmeter is provided with a temperature and pressure integrated sensor 8. The triaxial acceleration sensor 4 is used for detecting a precession vortex precession frequency signal generated when fluid in the precession vortex flowmeter 2 reaches the expansion section through the throat. The triaxial acceleration sensor 4 has three axial directions, so that it has the capability of measuring three-dimensional acceleration of the pipeline fluid, wherein the main fluid impact axis 6 is consistent with the fluid direction, the auxiliary measuring axis 5 is consistent with the probe insertion direction, and the precession vortex sensitive axis 7 is perpendicular to a plane formed by the fluid direction and the probe insertion direction. Gas flow experiments and moisture experiments were performed separately. In addition, a power module is arranged in the triaxial acceleration sensor, and a direct-current bias voltage output end is arranged on the power module and used for filtering out gravity bias voltage caused by earth gravity acceleration.
The experimental results are shown in fig. 3 to 5. FIGS. 3-4 reflect the vortex precession frequency f Z-Y And the volume flow rate Q of gas phase g And the liquid phase volume fraction LVF. From fig. 3, it can be seen that: vortex precession frequency f Z-Y And the volume flow rate Q of gas phase g There is a linear positive correlation relationship, which can be specifically expressed as that K is a single-phase instrument coefficient based on a triaxial acceleration sensor for gas phase flow measurement. And this relationship does not change the linear output law due to the addition of the liquid phase in the moisture. When the volume fraction of liquid phase LVF is fixed, the vortex precession frequency f Z-Y With the volume flow rate Q of the gas phase g Is linearly increasing, consistent with the single phase gas measurement characteristics of a precession vortex flowmeter. Even at the superficial gas flow rate u sg At low levels, the precession frequency of the vortex signal can also be accurately extracted.
From fig. 4, it can be seen that: when the apparent flow rate of the gas phase u sg At a certain time, the vortex precession frequency f Z-Y Gradually decreases as the liquid phase volume fraction LVF increases, and this decay rate gradually decreases. This is also why the use of a precession vortex flowmeter measures the "false low phenomenon" that occurs with moisture. Thus, using equation (1), the gas volumetric flow rate obtained using the precession vortex flowmeter meter output coefficient K under single phase pure gas conditions is the uncorrected gas volumetric flow rate Q g,forecast Further correction is required.
FIG. 5 reflects the dimensionless acceleration vector model A * Relationship with the liquid phase volume fraction LVF. From fig. 5, it can be seen that: known gas phase volume flow Q g In the range of 0.02-0.1% of LVF, the moisture dimensionless acceleration module value A is increased along with the continuous increase of LVF * The attenuation is continuously carried out, the attenuation rate is initially obvious, the attenuation rate is continuously reduced, the attenuation rate of the dimensionless acceleration modulus is obviously slowed down after the LVF is more than 0.1%, and the change trend is no longer obvious. This decay further illustrates that the presence of a liquid phase will hinder the precession of the vortex as droplet-vortex interactions will lead to a progressive decrease in precession vortex strength.
Through experimental data under single-phase pure gas working condition, the gas-phase Fr is found g And single-phase pureAir acceleration vector module valueThere is a nonlinear fitting relationship between them, which can be expressed in terms of the formula d 1 、d 2 、d 3 、d 4 Is the fitting coefficient. Substituting the standard flowmeter indication value and the acceleration vector modulus value of the precession vortex flow rate in the single-phase pure gas measurement into the fitting relation, and fitting by using a least square method to obtain a fitting coefficient d 1 ＝0.808,d 2 ＝3.03,d 3 ＝-1.748,d 4 ＝0.288。
Substituting this fit relationship by uncorrected gas phase volume flow Q g,forecast Fr number with gas phase g Calculating to obtain uncorrected gas-phase acceleration vector module valueMoisture acceleration vector modulus->Can be converted into dimensionless acceleration vector module A * Specifically, the method can be expressed as convenience for subsequent modeling.
Dimensionless acceleration vector module value A * The method can reflect the content and the flow rate of the liquid phase in the wet two-phase flow in the precession vortex flowmeter, and the dimensionless acceleration vector module value A is obtained through experimental data under the wet working condition * Fr number with gas phase g And dimensionless Lockhart-Martinelli parameter X LM The nonlinear fitting relation between the two can be specifically expressed as that, in the formula, e 1 、e 2 、e 3 、e 4 Is the fitting coefficient. Fitting by least squaresThe obtained fitting coefficient is e 1 ＝0.1134,e 2 ＝-233.5,e 3 ＝1.493,e 4 ＝0.967(LVF≤0.1％)。
Introducing a gas phase flow correction factor UR of the precession vortex flowmeter to realize the uncorrected gas phase volume flow Q g,forecast Is a modification of (a). According to the dimensional analysis, it was found that the correction factor UR can be determined from the gas phase Froude number Fr g Dimensionless Lockhart-Martinelli parameter X LM And the liquid-gas density ratio DR. By experimental data under the wet gas working condition, a fitting expression of the correction factor UR is established, which can be specifically expressed as the formula, wherein, c 1 、c 2 、c 3 And n is a fitting coefficient. Fitting coefficient c can be obtained by least square fitting 1 ＝2.776,c 2 ＝0.192,c 3 ＝0.924,n＝-0.073。
Correcting the gas phase flow in the wet gas-liquid two-phase flow by using a correction factor UR, and finally obtaining corrected gas phase volume flow Q by reaching proper iteration precision through multiple iterations g Then combine with dimensionless Lockhart-Martinelli parameter X LM The volume content LVF and the flow rate Q of the liquid phase in the wet gas can be further obtained l 。
A dual-parameter wet gas-liquid two-phase flow prediction model and an iterative algorithm are established based on the precession vortex dual-axis differential frequency detection signal and the dimensionless acceleration vector module value, and the simultaneous prediction of the wet gas-liquid two-phase flow can be realized through a precession vortex flowmeter, an MEMS three-axis acceleration sensor and a temperature-pressure sensor. The fitting error of the two-parameter wet gas two-phase flow prediction model and the iterative algorithm is shown in fig. 6a to 6c, the overall relative error of gas phase volume flow prediction is +/-2.5%, the relative error of prediction is +/-2.19% (pc=95%, delta= ±1.96 sigma) under the confidence probability interval, and the prediction result is good. The relative error of the liquid phase volume content prediction is within the range of-20% to +25%, and the relative error of the prediction under the confidence probability interval is +/-19.46% (Pc=95%, delta= ±1.96 sigma). The liquid phase volume flow is mainly calculated by gas phase volume flow and prediction errors are overlapped, the overall prediction relative error is within +/-30%, and the overall prediction relative error of the liquid phase volume flow is +/-24.2% (Pc=95%, delta= ±1.96 sigma) in a confidence probability interval.
The embodiment of the application also provides a specific implementation mode of the electronic device capable of realizing all the steps in the wet air flow measuring method in the embodiment, and the electronic device specifically comprises the following contents:
a processor (processor), a memory (memory), a communication interface (Communications Interface), and a bus;
the processor, the memory and the communication interface complete communication with each other through buses; the communication interface is used for realizing information transmission among relevant equipment such as server-side equipment, metering equipment and user-side equipment.
The processor is configured to invoke the computer program in the memory, and when the processor executes the computer program, the processor implements all the steps in the method for measuring the flow rate of the wet gas in the above embodiment.
The embodiment of the present application also provides a computer-readable storage medium capable of realizing all the steps of the wet gas flow rate measurement method in the above embodiment, on which a computer program is stored, which when executed by a processor realizes all the steps of the wet gas flow rate measurement method in the above embodiment,
although the application provides method operational steps as an example or a flowchart, more or fewer operational steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an actual device or client product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures.
Although the present description provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
The application is not limited to the embodiments described above. The above description of specific embodiments is intended to describe and illustrate the technical aspects of the present application, and is intended to be illustrative only and not limiting. Numerous specific modifications can be made by those skilled in the art without departing from the spirit of the application and scope of the claims, which are within the scope of the application.
Claims (9)
1. A dual-parameter wet gas-liquid two-phase flow measurement method based on a MEMS triaxial acceleration sensor is based on a precession vortex flowmeter provided with a triaxial acceleration sensor, and a temperature-pressure integrated sensor is arranged at the throat part of the flowmeter; in a triaxial acceleration sensor, a fluid main impact axis is defined as the axis of fluid main impact in accordance with the direction of fluid; a definition consistent with the direction of insertion of the pipe is an auxiliary measuring axis; the definition of a plane perpendicular to the direction of fluid and the direction of insertion is a precession vortex sensitive axis; when pipeline flow measurement is carried out through the precession vortex flowmeter, vortex precession frequency signals and acceleration signals obtained in the triaxial acceleration sensor are characterized by comprising the following steps:
(1) Collecting the pressure and the temperature of an experimental pipeline through a temperature-pressure integrated sensor, carrying out wet gas-liquid two-phase flow measurement through a precession vortex flowmeter, collecting three-axis electric signal output, and eliminating the gravity bias voltage in an auxiliary measuring shaft output signal;
(2) Performing differential processing on an output signal of a vortex sensitive shaft or a fluid main impact shaft and an output signal of an auxiliary measuring shaft after eliminating gravity bias voltage, and extracting a main frequency of the differential signal by utilizing fast Fourier transform;
(3) The precession vortex triaxial electrical signal output after eliminating the gravity bias voltage is converted into a corresponding triaxial acceleration signal through relevant parameters such as sensor sensitivity and the like;
(4) Vector synthesis is carried out on the triaxial acceleration signals to obtain a moisture acceleration vector module value;
(5) Calculating gas phase density and liquid phase density according to the pressure and temperature in the pipeline; obtaining uncorrected gas phase volume flow and gas surface flow rate by utilizing the relation between the main frequency of the differential signal and the gas flow rate;
(6) According to the calculated gas phase volume flow and gas apparent flow rate, calculating to obtain dimensionless parameters representing the wet gas phase volume flow;
(7) Calculating an uncorrected acceleration vector model according to dimensionless parameters representing the volume flow of the wet gas phase; carrying out dimensionless treatment on the moisture acceleration vector module value in the step (4) through an uncorrected acceleration vector module value;
(8) Fitting according to a dimensionless moisture acceleration vector module value to obtain dimensionless parameters representing the moisture liquid phase volume content;
(9) Based on a dimension analysis method, according to dimensionless parameters representing the volume and the content of the wet gas phase, the ratio of the dimensionless parameters representing the volume and the content of the wet gas phase to the liquid-gas density is fitted to obtain a wet gas correction factor of the meter coefficient of the precession vortex flowmeter, and the corrected volume and the flow of the gas phase are calculated;
(10) Repeating the steps (6) - (9) until the relative error between the gas phase volume flow obtained twice reaches a proper level, and considering that the iteration converges to finally obtain the gas phase volume flow of the measured moisture and the dimensionless parameter representing the moisture liquid phase volume content, and further obtaining the liquid phase volume flow and the liquid phase volume content through simple conversion and calculation to realize the measurement of the measured moisture two-phase flow.
2. The method for measuring the two-parameter wet gas-liquid two-phase flow based on the MEMS triaxial acceleration sensor, which is disclosed by claim 1, comprises the following steps of performing wet gas-liquid two-phase flow measurement through a precession vortex flowmeter in steps (1) - (4), collecting triaxial electrical signal output, eliminating gravity bias voltage in auxiliary measurement axis output signals, converting electrical signal output on each axis into corresponding triaxial acceleration signals, and finally performing vector synthesis to obtain a wet gas acceleration vector module value, wherein the specific formula is as follows:
wherein a is i G is an acceleration signal on each axis; u (U) i V is an output voltage signal on each axis; s is S g The sensitivity of the acceleration sensor chip is V/g; u (U) 0 The gravity bias voltage V of the acceleration sensor chip is used as the gravity bias voltage V;is the moisture acceleration vector modulus, g.
3. The method for measuring the dual-parameter wet gas-liquid two-phase flow based on the MEMS triaxial acceleration sensor according to claim 1, wherein the relationship between the main frequency of the differential signal and the gas flow is utilized in the steps (5) - (6), the uncorrected gas phase volume flow and the gas apparent flow velocity are obtained, and the dimensionless parameter representing the wet gas phase volume flow is calculated, wherein the specific formula is as follows:
ξ～f(Q g,forecast )
in which Q g,forecast For uncorrected gas phase volume flow, m 3 /h; f is the main vortex precession frequency of the differential signal, hz; k is an instrument output coefficient under the dry gas working condition; d is the diameter of the pipeline, m; u (u) sg Is the apparent flow rate of the gas phase, m/s; ζ is a dimensionless parameter characterizing the volumetric flow of the wet gas phase.
4. The method for measuring the two-parameter wet gas-liquid two-phase flow based on the MEMS triaxial acceleration sensor according to claim 1, wherein in the step (7), according to the dimensionless parameter representing the volume flow of the wet gas phase, an uncorrected acceleration vector module value is calculated, and the wet gas acceleration vector module value in the step (4) is dimensionless through the uncorrected acceleration vector module value, and the specific formula is as follows:
in the method, in the process of the application,an uncorrected acceleration vector model value g calculated from the uncorrected gas phase volume flow; a is that * Is a dimensionless acceleration vector model value.
5. The method for measuring the dual-parameter wet gas-liquid two-phase flow based on the MEMS triaxial acceleration sensor according to claim 1, wherein in the step (8), according to a dimensionless wet gas acceleration vector module value, dimensionless parameters representing the volume inclusion rate of the wet gas liquid phase are obtained by fitting, and the specific formula is as follows:
A * ～f(LVF)～f(ζ)
wherein LVF is moisture liquid phase volume fraction; ζ is a dimensionless parameter characterizing the volumetric content of the wet gas liquid phase.
6. The method for measuring the dual-parameter wet gas-liquid two-phase flow based on the MEMS triaxial acceleration sensor, according to the method, in the step (9), based on a dimensional analysis method, according to a dimensionless parameter representing the volume content of a wet gas liquid phase, the dimensionless parameter representing the volume flow of the wet gas phase is compared with the density of liquid, the wet gas correction factor screwed into the meter coefficient of the vortex flowmeter is obtained by fitting, and the corrected volume flow of the gas phase is obtained by calculating the specific formula as follows:
UR～f(ξ,ζ,DR)
wherein UR is a moisture correction factor of the meter coefficient of the precession vortex flowmeter; DR is the dimensionless liquid-gas density ratio; q (Q) g For the volume flow of the gas phase, m 3 /h。
7. The utility model provides a two parameter moisture gas-liquid two-phase flow measuring device based on MEMS triaxial acceleration sensor which characterized in that includes:
the triaxial acceleration sensor is combined with the pressure and temperature integrated sensor and is used for measuring the flow of the pipeline;
the power module is provided with a direct-current bias voltage output end and is used for filtering out the gravity bias voltage caused by the earth gravity acceleration;
a computing unit 1 for performing differential processing on output signals of different axes in the triaxial acceleration sensor; the main frequency of the differential signal is obtained through Fourier transformation;
the computing unit 2 converts different electric output signals in the triaxial acceleration sensor into corresponding triaxial acceleration signals through relevant parameters such as sensor sensitivity and the like; vector synthesis is carried out on acceleration signals on the three axes, so that an acceleration vector module value is obtained;
and the wet gas flow solving unit is used for solving a double-parameter wet gas-liquid two-phase flow measuring method based on the MEMS triaxial acceleration sensor and established by a dimension analysis method and an iterative solving algorithm.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for measuring the flow of moisture according to any one of claims 1 to 6 when the program is executed by the processor.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method for measuring a flow of wet gas as claimed in any one of claims 1 to 6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101413817A (en) * | 2008-12-05 | 2009-04-22 | 天津大学 | Double-differential pressure throttle humid gas measuring method |
| US20110259119A1 (en) * | 2007-07-13 | 2011-10-27 | McCrometer, Inc | Two-phase flow meter |
| CN104266702A (en) * | 2014-09-11 | 2015-01-07 | 西安交通大学 | Multiphase wet air flow and phase content online measurement method and device |
| CN108548542A (en) * | 2018-07-13 | 2018-09-18 | 北京航空航天大学 | A kind of LEO based on atmospheric drag acceleration analysis determines method |
| CN114777855A (en) * | 2022-02-22 | 2022-07-22 | 中国民航大学 | Vortex street moisture split-phase flow measuring method based on acceleration detection |
| CN114993392A (en) * | 2022-03-29 | 2022-09-02 | 中国民航大学 | Vortex street moisture flow measuring method based on acceleration amplitude modeling |
| CN115824324A (en) * | 2022-11-14 | 2023-03-21 | 天津大学 | Wet air flow measuring method based on precession vortex MEMS detection technology |
-
2023
- 2023-03-22 CN CN202310282373.1A patent/CN117029946B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110259119A1 (en) * | 2007-07-13 | 2011-10-27 | McCrometer, Inc | Two-phase flow meter |
| CN101413817A (en) * | 2008-12-05 | 2009-04-22 | 天津大学 | Double-differential pressure throttle humid gas measuring method |
| CN104266702A (en) * | 2014-09-11 | 2015-01-07 | 西安交通大学 | Multiphase wet air flow and phase content online measurement method and device |
| CN108548542A (en) * | 2018-07-13 | 2018-09-18 | 北京航空航天大学 | A kind of LEO based on atmospheric drag acceleration analysis determines method |
| CN114777855A (en) * | 2022-02-22 | 2022-07-22 | 中国民航大学 | Vortex street moisture split-phase flow measuring method based on acceleration detection |
| CN114993392A (en) * | 2022-03-29 | 2022-09-02 | 中国民航大学 | Vortex street moisture flow measuring method based on acceleration amplitude modeling |
| CN115824324A (en) * | 2022-11-14 | 2023-03-21 | 天津大学 | Wet air flow measuring method based on precession vortex MEMS detection technology |
Non-Patent Citations (1)
| Title |
|---|
| 王晓智;耿艳峰;华陈权;张晶;叶露;: "基于槽式孔板和旋进漩涡流量计的湿气计量研究", 中国海上油气, no. 03, 15 June 2013 (2013-06-15), pages 78 - 82 * |
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