CN109242871B - Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV - Google Patents
Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV Download PDFInfo
- Publication number
- CN109242871B CN109242871B CN201810901580.XA CN201810901580A CN109242871B CN 109242871 B CN109242871 B CN 109242871B CN 201810901580 A CN201810901580 A CN 201810901580A CN 109242871 B CN109242871 B CN 109242871B
- Authority
- CN
- China
- Prior art keywords
- echo
- piv
- water pump
- pump system
- solid
- 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.)
- Active
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000007788 liquid Substances 0.000 title claims abstract description 27
- 230000005514 two-phase flow Effects 0.000 title claims abstract description 27
- 239000013598 vector Substances 0.000 claims abstract description 38
- 238000005259 measurement Methods 0.000 claims abstract description 30
- 239000002245 particle Substances 0.000 claims abstract description 27
- 238000001914 filtration Methods 0.000 claims abstract description 8
- 230000000007 visual effect Effects 0.000 claims abstract description 8
- 238000000605 extraction Methods 0.000 claims abstract description 6
- 239000007790 solid phase Substances 0.000 claims abstract description 6
- 238000012937 correction Methods 0.000 claims abstract description 5
- 238000003708 edge detection Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 6
- 230000003287 optical effect Effects 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 239000011521 glass Substances 0.000 claims description 3
- 238000000917 particle-image velocimetry Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000000827 velocimetry Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/168—Segmentation; Edge detection involving transform domain methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Structures Of Non-Positive Displacement Pumps (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
A method for measuring solid-liquid two-phase flow in a water pump system based on Echo-PIV comprises the following specific processes: establishing a visual water pump system suitable for Echo-PIV measurement; modifying an Echo-PIV particle image cross-correlation algorithm based on a multi-iteration algorithm and a sub-pixel edge detection method, and eliminating a pseudo vector by combining filtering and a double-line interpolation function; establishing an Echo-PIV speed correction formula; correcting the velocity vector of the Echo-PIV measurement failure area based on the inversion algorithm of the BEM; analyzing the influence of ultrasonic scanning depth and angle on an Echo-PIV measurement result under a clear water condition; determining an optimal inquiry area range suitable for measuring the solid-liquid two-phase flow Echo-PIV of a water pump system; establishing a water pump system Echo-PIV image boundary extraction method based on a contour wavelet transform algorithm; based on Echo-PIV, the solid-liquid two-phase flow in the water pump system is tested and measured, and the solid-phase movement mechanism in the water pump system with different particle sizes and different volume fractions is analyzed. The method can not only accurately measure the solid-liquid two-phase flow rule in the water pump system, but also improve the measurement accuracy of Echo-PIV.
Description
Technical Field
The invention belongs to the field of hydraulic machinery experimental measurement, and particularly relates to an Echo-PIV-based method for measuring solid-liquid two-phase flow in a water pump system.
Background
The test measurement can intuitively and accurately reflect the real physical form of the flow field, and is the most reliable method for revealing the flow mechanism of the water pump system. At present, in the field of testing of flow fields inside water pumps, relatively mature technologies include optical PIV (particle Image velocimetry) and high-speed photography, but both methods require that an area to be tested is a transparent flow field to ensure light to pass through, and the real physical environment of solid-liquid two-phase flow is difficult to restore, so that the measurement of the solid-liquid two-phase flow purely based on optics lacks certain persuasion.
The Echo-PIV (Echo Particle Image velocimetry) technology is widely applied in the field of cardiovascular medicine at present, and can more accurately display the flow speed and direction of blood. Although a published report of a solid-liquid two-phase flow measuring method in a water pump system based on Echo-PIV is not seen, compared with the existing mature optical particle image velocimetry technology, the technology has great advantages in realizing non-invasive measurement of a non-transparent fluid velocity field because ultrasonic waves can penetrate through a non-transparent medium.
The method for measuring the solid-liquid two-phase flow in the water pump system by adopting the Echo-PIV is a new research direction, wherein the key is to ensure that the method has enough reliability and accuracy. Therefore, the invention develops an Echo-PIV measuring method suitable for solid-liquid two-phase flow in a water pump system, and aims to provide a certain reference for testing and measuring a solid-liquid two-phase flow mechanism in a hydraulic machine.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a method for measuring solid-liquid two-phase flow in a water pump system based on Echo-PIV.
In order to achieve the purpose, the following technical scheme is adopted:
a method combining a cross-correlation algorithm, a multiple iteration algorithm and sub-pixel edge detection is adopted, pseudo vectors generated by cross-correlation calculation are eliminated based on filtering and a double-line interpolation function, flow field information of an Echo-PIV measurement failure area (particularly a boundary area) is corrected based on an inversion algorithm of BEM (boundary Element method), a boundary extraction method suitable for a single-channel pump ultrasonic particle image is established based on a contour wavelet transform algorithm, and an Echo-PIV measurement method suitable for solid-liquid two-phase flow in a water pump system is developed on the basis. The method comprises the following specific steps:
(1) and establishing a visual water pump system suitable for Echo-PIV measurement. The visual water pump system comprises a water pump, a pipeline system, a valve, a flowmeter and a water tank, wherein the water pump and the pipeline system are all processed by transparent organic glass.
(2) And modifying the Echo-PIV particle image cross-correlation algorithm based on a multi-iteration algorithm and a sub-pixel edge detection method. The pseudo-vectors generated using the Echo-PIV particle image cross-correlation algorithm are eliminated in combination with filtering and a two-line interpolation function. First, a local filter is used to filter the pseudo-vectors generated using the Echo-PIV particle image cross-correlation algorithm. Compare the average of the surrounding eight vectors
If the velocity vector is equal to
If the ratio of the velocity vector to the reference velocity vector is between 1.5 and 3.0, the velocity vector is not considered to be a pseudo vector; if the velocity vector is equal to
If the ratio of (1) to (3) is not 1.5-3.0, the velocity vector is filtered out by using a local filter. And secondly, carrying out interpolation compensation on the filtered velocity vector by adopting a two-line interpolation function.
(3) And analyzing the influence of the scanning speed, the flow rate ratio and the scanning direction of the ultrasonic sound beam on the measurement result, and establishing an Echo-PIV speed correction formula.
In the formula, vx、vyIs the true velocity, v ', of the Echo-PIV particles in the x, y directions'x、v′yTo adopt the corrected EchVelocity components, v, in x and y directions calculated by o-PIV particle image cross-correlation algorithmsIs the scanning speed of the ultrasonic sound beam.
(4) The BEM-based inversion algorithm corrects the velocity vector of the Echo-PIV measurement failure region, particularly the boundary region.
(5) The effect of ultrasonic scanning depth and angle on Echo-PIV measurement results under clear water conditions was analyzed and verified by an optical TR-PIV (Time-Resolved Particle Image Velocimetry) test.
(6) And analyzing the influence of the size of the interrogation zone on the signal-to-noise ratio and the background noise of the particle image, and determining the optimal interrogation zone range suitable for the Echo-PIV measurement of the solid-liquid two-phase flow of the water pump system.
(7) Method for extracting water pump system Echo-PIV image boundary based on contour wavelet transform algorithm and adopting boundary order degree MeAnd evaluating the water pump system Echo-PIV image boundary extraction method.
Me＝(1-N)(1-F)
In the formula, N represents the false detection rate, and F represents the false detection rate.
If the boundary order degree MeIf the threshold value is less than 0.99, the threshold value in the contour wavelet transform algorithm is changed until the boundary order degree MeGreater than 0.99.
(8) The method is characterized in that solid-liquid two-phase flow in a water pump system is tested and measured based on Echo-PIV, and the solid-phase movement mechanism in the water pump system with different particle sizes and different volume fractions and the influence of the solid-phase movement mechanism on the pump performance are analyzed.
The invention has the advantages that:
(1) a boundary extraction method suitable for an ultrasonic particle image of a water pump system is established based on a contour wavelet transform algorithm, and the accuracy of Echo-PIV calibration is improved.
(2) The method can not only accurately measure the solid-liquid two-phase flow rule in the water pump system, but also improve the measurement accuracy of Echo-PIV.
Drawings
FIG. 1 is a flow chart of a method for measuring solid-liquid two-phase flow in a water pump system based on Echo-PIV
FIG. 2 shows a visual water pump system suitable for Echo-PIV measurement in an embodiment of the invention
FIG. 3 shows the flow of clean water in the straight pipe of the piping system
FIG. 4 shows the solid-liquid two-phase flow in the straight pipe of the piping system
FIG. 5 shows comparison of Echo-PIV and UDV measurements
In the figure: 1 pump 2 UDV sensor 3 Echo-PIV sensor 4 valve 5 water tank 6 valve 7 flowmeter
Detailed Description
The invention will be further described with reference to the following figures and specific examples, but the scope of the invention is not limited thereto.
Example (b):
the Echo-PIV system in this embodiment is commercial ultrasonic equipment of Capistrano laboratory of America, the center frequency of the sensor is 12.5MHz, the ultrasonic beam comprises 64 vectors, the display angle is 20 degrees, the particle image is collected by PCI card and displayed in the computer; the optical PIV system adopts a TR-PIV system which is commercially available from American TSI company, wherein the pulse energy of a YAG high-frequency double-cavity pulse laser is 2 multiplied by 22.5mJ @1000Hz, the output wavelength is 527nm, the resolution of a PowerView digital CCD camera is 1024 multiplied by 1024 pixels, and the frame frequency is 3 kHz.
(1) A visual water pump system suitable for Echo-PIV measurement was established (as shown in fig. 2). The visual water pump system comprises a water pump, a pipeline system, a valve, a flowmeter and a water tank, wherein the water pump and the pipeline system are all processed by transparent organic glass.
(2) And modifying the Echo-PIV particle image cross-correlation algorithm based on a multi-iteration algorithm and a sub-pixel edge detection method. The pseudo-vectors generated using the Echo-PIV particle image cross-correlation algorithm are eliminated in combination with filtering and a two-line interpolation function. First, a local filter is used to filter the pseudo-vectors generated using the Echo-PIV particle image cross-correlation algorithm. Compare the average of the surrounding eight vectors
If the velocity vector is equal to
Ratio of (A to (B)If the value is between 1.5 and 3.0, the velocity vector is not considered to be a pseudo vector; if the velocity vector is equal to
If the ratio of (1) to (3) is not 1.5-3.0, the velocity vector is filtered out by using a local filter. And secondly, carrying out interpolation compensation on the filtered velocity vector by adopting a two-line interpolation function.
(3) And analyzing the influence of the scanning speed, the flow rate ratio and the scanning direction of the ultrasonic sound beam on the measurement result, and establishing an Echo-PIV speed correction formula.
In the formula, vx、vyIs the true velocity, v ', of the Echo-PIV particles in the x, y directions'x、v′yFor the velocity components in x and y directions, v, calculated by using a modified Echo-PIV particle image cross-correlation algorithmsIs the scanning speed of the ultrasonic sound beam.
(4) The BEM-based inversion algorithm corrects the velocity vector of the Echo-PIV measurement failure region, particularly the boundary region.
(5) The effect of ultrasonic scanning depth and angle on Echo-PIV measurements under clear water conditions (see FIG. 3) was analyzed and verified by optical TR-PIV tests.
(6) And analyzing the influence of the size of the interrogation zone on the signal-to-noise ratio and the background noise of the particle image, and determining the optimal interrogation zone range suitable for the Echo-PIV measurement of the solid-liquid two-phase flow of the water pump system.
(7) Method for extracting water pump system Echo-PIV image boundary based on contour wavelet transform algorithm and adopting boundary order degree MeAnd evaluating the water pump system Echo-PIV image boundary extraction method.
Me＝(1-N)(1-F)
In the formula, N represents the false detection rate, and F represents the false detection rate.
Through calculation, the boundary order degree M of the Echo-PIV image of the water pump systemeIs 0.991.
(8) The solid-liquid two-phase flow in the straight pipe of the water pump system (see fig. 4) was experimentally measured using Echo-PIV, and analyzed in comparison with udv (ultrasonic Doppler velocimetry) measurement results (see fig. 5). The results show that: the maximum measurement error for Echo-PIV compared to UDV measurement is 2.26%.
Meanwhile, the mechanism of solid phase motion in the water pump system with different particle sizes and different volume fractions and the influence of the mechanism on the performance of the water pump are analyzed.
The present invention is not limited to the above-described embodiments, and any obvious improvements, substitutions or modifications can be made by those skilled in the art without departing from the spirit of the present invention.
Claims (3)
1. A method for measuring solid-liquid two-phase flow in a water pump system based on Echo-PIV is characterized by comprising the following specific steps:
(1) establishing a visual water pump system suitable for Echo-PIV measurement; the visual water pump system comprises a water pump, a pipeline system, a valve, a flowmeter and a water tank, wherein the water pump and the pipeline system are both processed by transparent organic glass;
(2) correcting an Echo-PIV particle image cross-correlation algorithm based on a multi-iteration algorithm and a sub-pixel edge detection method, and eliminating a pseudo vector generated by using the Echo-PIV particle image cross-correlation algorithm by combining filtering and a double-line interpolation function; the specific steps of eliminating the pseudo-vector generated by using the Echo-PIV particle image cross-correlation algorithm by combining the filtering and the double-line interpolation function in the step (2) are as follows:
filtering a pseudo vector generated by using an Echo-PIV particle image cross-correlation algorithm by using a local filter; compare the average of the surrounding eight vectors
If the velocity vectorAnd
if the ratio of the velocity vector to the reference velocity vector is between 1.5 and 3.0, the velocity vector is not considered to be a pseudo vector; if the velocity vector is equal to
If the ratio of the two is not between 1.5 and 3.0, filtering the velocity vector by using a local filter; carrying out interpolation compensation on the filtered velocity vector by adopting a double-line interpolation function;
(3) analyzing the influence of the scanning speed, the flow rate ratio and the scanning direction of the ultrasonic sound beam on the measurement result, and establishing an Echo-PIV speed correction formula;
(4) correcting the velocity vector of the Echo-PIV measurement failure area based on the inversion algorithm of the BEM;
(5) analyzing the influence of ultrasonic scanning depth and angle on an Echo-PIV measurement result under a clear water condition, and verifying the influence through an optical TR-PIV test;
(6) analyzing the influence of the size of the interrogation zone on the signal-to-noise ratio and the background noise of the particle image, and determining the optimal interrogation zone range suitable for the Echo-PIV measurement of the solid-liquid two-phase flow of the water pump system;
(7) method for extracting water pump system Echo-PIV image boundary based on contour wavelet transform algorithm and adopting boundary order degree MeEvaluating an Echo-PIV image boundary extraction method of a water pump system; if the boundary order degree MeIf the threshold value is less than 0.99, the threshold value in the contour wavelet transform algorithm is changed until the boundary order degree MeGreater than 0.99;
(8) the method is characterized in that solid-liquid two-phase flow in a water pump system is tested and measured based on Echo-PIV, and the solid-phase movement mechanism in the water pump system with different particle sizes and different volume fractions and the influence of the solid-phase movement mechanism on the pump performance are analyzed.
2. The method for measuring the solid-liquid two-phase flow in the water pump system based on the Echo-PIV as claimed in claim 1, wherein the method comprises the following steps: the Echo-PIV speed correction formula in the step (3) is as follows:
in the formula, vx、vyIs the true velocity, v ', of the Echo-PIV particles in the x, y directions'x、v′yFor the velocity components in x and y directions, v, calculated by using a modified Echo-PIV particle image cross-correlation algorithmsIs the scanning speed of the ultrasonic sound beam.
3. The method for measuring the solid-liquid two-phase flow in the water pump system based on the Echo-PIV as claimed in claim 1, wherein the method comprises the following steps: the degree of boundary order M in step (7)eThe calculation formula of (a) is as follows:
Me＝(1-N)(1-F)
in the formula, N represents the false detection rate, and F represents the false detection rate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810901580.XA CN109242871B (en) | 2018-08-09 | 2018-08-09 | Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810901580.XA CN109242871B (en) | 2018-08-09 | 2018-08-09 | Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109242871A CN109242871A (en) | 2019-01-18 |
| CN109242871B true CN109242871B (en) | 2021-09-17 |
Family
ID=65071373
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810901580.XA Active CN109242871B (en) | 2018-08-09 | 2018-08-09 | Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109242871B (en) |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8724428B1 (en) * | 2012-11-15 | 2014-05-13 | Cggveritas Services Sa | Process for separating data recorded during a continuous data acquisition seismic survey |
| CN203384024U (en) * | 2013-05-23 | 2014-01-08 | 江苏大学 | Solid and liquid two-phase flow pump durability test device |
| US20160314527A1 (en) * | 2014-03-26 | 2016-10-27 | Unanimous A. I., Inc. | Methods and systems for enabling a credit economy in a real-time collaborative intelligence |
| US10368833B2 (en) * | 2014-09-12 | 2019-08-06 | General Electric Company | Method and system for fetal visualization by computing and displaying an ultrasound measurement and graphical model |
| CN107356783A (en) * | 2017-06-12 | 2017-11-17 | 西安理工大学 | A kind of Dual-Phrase Distribution of Gas olid ac signal processing method based on wavelet transformation adaptive-filtering |
| CN107575401B (en) * | 2017-09-08 | 2019-06-14 | 江苏大学镇江流体工程装备技术研究院 | A kind of immersible pump intelligent integration control system and control method based on serial communication |
-
2018
- 2018-08-09 CN CN201810901580.XA patent/CN109242871B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109242871A (en) | 2019-01-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sciacchitano et al. | Multi-frame pyramid correlation for time-resolved PIV | |
| Stanislas et al. | Main results of the third international PIV challenge | |
| CN105389814B (en) | A kind of bubble detecting method for air-tight test | |
| Poelma et al. | 3D Flow reconstruction using ultrasound PIV | |
| JP5105384B2 (en) | Nondestructive inspection method and apparatus | |
| CN101846693A (en) | Speed measurement system and speed measurement method of ultrasonic particle image | |
| Conevski et al. | Laboratory investigation of apparent bedload velocity measured by ADCPs under different transport conditions | |
| Vétel et al. | Denoising methods for time-resolved PIV measurements | |
| FR3099586A1 (en) | Ultrasonic system for detecting a flow of a fluid in a medium | |
| Zhen et al. | Design and evaluation of an FFT-based space-time image velocimetry (STIV) for time-averaged velocity measurement | |
| WO2019015398A1 (en) | Method and device for acquiring motion information | |
| CN109242871B (en) | Method for measuring solid-liquid two-phase flow in water pump system based on Echo-PIV | |
| US12072220B2 (en) | Acoustic camera systems and methods for large scale flow analysis in turbid field environments | |
| Almekkawy et al. | Two-dimensional speckle tracking using parabolic polynomial expansion with riesz transform | |
| Purcell et al. | Lamb wave mode spectroscopy on complex structures with amplitude-based feature detection | |
| Osman et al. | A review of in-situ optical flow measurement techniques in the Deepwater Horizon oil spill | |
| JP6025049B2 (en) | Structure defect imaging method, structure defect imaging apparatus, and bubble or lesion imaging apparatus | |
| Yang et al. | Image analyses for video-based remote structure vibration monitoring system | |
| CN111999307B (en) | Surface damage detection method of underwater structures based on multi-scale information fusion | |
| Elsinga et al. | The effect of particle image blur on the correlation map and velocity measurement in PIV | |
| KR101379934B1 (en) | Apparatus and method for measuring the thickness of the scale in a pipe | |
| Jeon et al. | Multi-point measurement of structural vibration using pattern recognition from camera image | |
| Ploß et al. | Identification of acoustic wave orientation for ultrasound-based flow measurement by exploiting the Hough transform | |
| CN118408076B (en) | Method, device, equipment and medium for measuring opening and closing degree of electric valve | |
| Young et al. | Bubble image velocimetry with a field-deployable acoustic camera |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |