A multi-dimensional particle tracing and capturing test method and platform for sediment separation cyclone field

Abstract

The present invention discloses a multi-dimensional sediment separation cyclone field particle tracing and capturing test method and test platform. A mixture of coarse particles and fine particles that have not been separated is transported to a hydrocyclone through a slurry delivery pump. Under the action of the centrifugal force of the cyclone, the coarse particles are discharged from the bottom discharge port, and the fine particles are discharged from the upper overflow port. By using a pulsed laser light source and a high-frequency CCD camera, continuous multi-view and multiple instantaneous fluorescence polymer microsphere particle images are taken through precise displacement guide rails. Based on the image tracking algorithm, the movement trajectories of particles with different particle sizes are obtained, and the precise measurement of the velocity components in the tangential, radial, and axial directions of the particles is achieved through fast Fourier transform cross-correlation analysis. Based on this test method and test platform, the velocity distribution information at any cross-section and multi-dimensional spatial points in the cyclone field can be obtained, realizing non-contact, non-disturbing, high-precision measurement and display of the entire flow field in a complex flow field environment.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid-solid cyclone separation, and particularly relates to a multi-dimensional sand separation cyclone field particle tracing and capturing test method and test platform. Background Art

[0002] Argillaceous sandstone-type ore resources usually exist in complex multiphase media. The extraction and separation efficiency is mainly affected and controlled by the characteristics of the medium interface. It is difficult to achieve low-cost and high-efficiency extraction of argillaceous sandstone ore by directly using traditional single leaching processes. Although existing technologies have gradually developed processes combining physical, chemical, and microbial methods, the overall extraction effect for severely argillized sandstone ore is still not ideal.

[0003] A cyclone is a device for classifying or separating according to particle size and density. The sand separation cyclone technology can classify and separate the sand in argillaceous sandstone ore. To improve the separation performance of the cyclone, it is necessary to deeply understand and study its internal flow field. The hydrodynamic behavior of the fluid inside the cyclone and the movement law of the dispersed-phase sand particles are very complex, and it is difficult to accurately measure the velocity components of the particles in the tangential, radial, and axial directions. Therefore, how to stably and reliably obtain the multi-dimensional sand separation cyclone technology parameters is the key to breaking through the rapid sand washing and accurate classification technology.

[0004] Existing technologies usually use computer simulation software to simulate the movement law of sand particles in the cyclone field. However, due to the difficulty in setting working conditions and material parameters in advance, a large amount of experimental data and data analysis and fitting are required. Therefore, software simulation distortion will occur, greatly reducing the auxiliary function for actual production, and the cost of collecting a large amount of industrial field trial production data is very high, with poor scalability;

[0005] Therefore, there is an urgent need to develop a multi-dimensional sand separation cyclone field particle tracing and capturing test method and platform for simulating corresponding actual working conditions in the laboratory, obtaining the velocity distribution information at any cross-section and multi-dimensional spatial points in the cyclone field, so as to achieve non-contact, non-disturbing, high-precision measurement and display of the entire flow field in a complex flow field environment, and provide real-time and accurate data for actual industrial production. Summary of the Invention

[0006] The technical problem to be solved by the present invention is: to provide a multi-dimensional sand separation cyclone field particle tracing and capturing test method and test platform, which can obtain the velocity distribution information at any cross-section and multi-dimensional spatial points in the sand separation cyclone field, and achieve non-contact, non-disturbing, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment.

[0007] To solve the above technical problems, the technical solution adopted by the present invention is:

[0008] 1. Multi - dimensional sediment separation cyclone field particle tracing and capture test method

[0009] The present invention also provides a multi - dimensional sediment separation cyclone field particle tracing and capture test method, including the following steps:

[0010] S1, Preparation of sediment - water mixture: The mined sediment mixture is crushed by a crusher and preliminarily screened by a sieve, then loaded into a mortar mixing barrel. A preset mass of water is added and mixed evenly with the sediment to prepare a mortar with a preset concentration;

[0011] S2, Particle classification and separation by a hydro - cyclone: The evenly - mixed mortar is pumped into a hydro - cyclone by a slurry pump for particle classification and separation. Under the centrifugal force of the cyclone, coarse particles are discharged from the bottom outlet, and fine particles are discharged from the upper overflow outlet;

[0012] S3, Using fluorescent polymer microsphere particles as tracer particles: The fluorescent polymer microsphere particles are evenly dispersed into the mortar and move with the rotating fluid of the mortar. At the same time, a laser source is emitted by a pulsed laser, causing the fluorescent polymer microsphere particles to emit fluorescence;

[0013] S4, Obtaining high - definition instantaneous images of tracer particles in three dimensions within a specified viewing angle and cross - section in the cyclone field: Through the cooperation of a circumferential displacement guide rail and a vertical displacement guide rail, each CCD camera is moved to the specified viewing angle and cross - section for synchronous shooting to obtain high - definition instantaneous images of tracer particles in three dimensions, and the obtained high - definition instantaneous images of tracer particles are sent to a computer image processing system in real time;

[0014] S5, Obtaining the motion trajectory information of tracer particles through an image tracking algorithm, and obtaining the spatial displacement information of tracer particles in the tangential, radial, and axial three dimensions through a fast Fourier transform cross - correlation analysis algorithm;

[0015] S6, Based on the spatial displacement information of tracer particles in three dimensions , , and the shooting time interval , calculate the velocity components of the tracer particles in the tangential, radial, and axial three dimensions, and interpolate the discrete velocity points through standard Gaussian weight interpolation to obtain continuous velocity information of the tracer particles in three dimensions.

[0016] Further, in step S4, the obtaining of high - definition instantaneous images of tracer particles in three dimensions includes:

[0017] S41, Adjusting the positions of the first vertical displacement guide rail and the second vertical displacement guide rail along the circumferential displacement guide rail so that the first vertical displacement guide rail and the second vertical displacement guide rail are orthogonally arranged;

[0018] S42. Adjust the heights of the left CCD camera 1 and the left CCD camera 2 along the vertical displacement guide rail 1 respectively, so that the left CCD camera 1 is at the specified height H, and the longitudinal distance between the left CCD camera 1 and the left CCD camera 2 is equal to the preset value h;

[0019] The preset value h is calculated based on the axial displacement of the tracer particles within the time interval obtained from the previous experiment multiplied by a preset correction factor;

[0020] S43. Adjust the heights of the right CCD camera 1 and the right CCD camera 2 along the vertical displacement guide rail 2 respectively, so that the right CCD camera 1 and the right CCD camera 2 are flush with the left CCD camera 1 and the left CCD camera 2 respectively;

[0021] S44. Obtain the tangential and radial instantaneous images of the tracer particles at the height H section through the left CCD camera 1 and the right CCD camera 1 which are orthogonally and flush-mounted;

[0022] S45. Obtain the tangential and radial instantaneous images of the tracer particles at the height H-h section through the left CCD camera 2 and the right CCD camera 2 which are orthogonally and flush-mounted;

[0023] S46. Obtain the axial instantaneous images of the tracer particles on this side through the CCD camera 1 and the CCD camera 2 which are longitudinally arranged on the same side;

[0024] Before shooting, the CCD camera is first calibrated in three-dimensional space and image calibration, including: collecting images of the calibration target disk at multiple points in the vertical direction at the specified viewing angle and section position, and finding the center of each target disk image to correct the mechanical error of the CCD camera.

[0025] Further, in step S5, the image tracking algorithm includes:

[0026] Obtain the image signal taken at time t1:

[0027] ;

[0028] Obtain the image signal taken at time t2:

[0029] ;

[0030] In the formula, F is the trajectory function, is the three-dimensional space coordinates of the tracer particle in the preset coordinate system, and are the image noise interferences at times t1 and t2 respectively;

[0031] By​ - to obtain the time interval of the motion trajectory of the tracer particles therein

[0032] .

[0033] Further, in step S5, the fast Fourier transform cross-correlation analysis algorithm includes:

[0034] The cross-correlation function of the image signal captured at time t1 and the image signal captured at time t2 is as follows:

[0035]

[0036] wherein are all correlation coefficients;

[0037] By solving the maximum value of the cross-correlation function to obtain the time interval of the spatial displacement information of the tracer particles in the tangential, radial, and axial dimensions , , .

[0038] II. Multi-dimensional sediment separation cyclone field particle tracer and capture test platform

[0039] Based on the same inventive concept, the present invention also provides a multi-dimensional sediment separation cyclone field particle tracer and capture test platform, adopting the test method as described above, which includes:

[0040] A mortar mixing barrel 3 for loading sediment mixed materials, the bottom water inlet of the mortar mixing barrel 3 is connected to the mud pump 1 through a connecting pipe 16, the side slurry outlet of the mortar mixing barrel 3 is connected to the side feed inlet of the hydrocyclone 6 through a connecting pipe 17, an overflow port 18 is arranged at the top of the hydrocyclone 6, and a discharge port 19 is arranged at the bottom;

[0041] Vertical displacement guide rails 7 and 9 are respectively arranged on both sides of the hydrocyclone 6, a pulsed laser 14 is erected at the top, a circumferential displacement guide rail 8 is arranged around the bottom along the circumferential direction, and the bottoms of the vertical displacement guide rails 7 and 9 are both installed on the circumferential displacement guide rail 8;

[0042] On one side of the vertical displacement guide rail 7 facing the hydrocyclone 6, a left CCD camera 10 and a left CCD camera 11 are successively installed along the longitudinal direction, and on one side of the vertical displacement guide rail 9 facing the hydrocyclone 6, a right CCD camera 12 and a right CCD camera 13 are successively installed along the longitudinal direction;

[0043] The left CCD camera 1, the left CCD camera 2, the right CCD camera 1, the right CCD camera 2 and the pulsed laser 14 are all electrically connected to the computer image processing system 15.

[0044] Further, a buffer tank is connected to the output port of the slurry delivery pump 1, and a pumping flowmeter 2 and a flow regulating valve 1 are installed at one end of the connecting pipe 16 close to the output port of the slurry delivery pump 1.

[0045] Further, a mortar flowmeter 4 and a flow regulating valve 2 are installed at one end of the connecting pipe 17 close to the slurry outlet of the mortar mixing tank 3, and corresponding pressure gauges 5 and turbine flowmeters are installed at the feed inlet, the overflow port 18 and the discharge outlet 19 of the hydrocyclone 6.

[0046] Further, the slurry delivery pump 1 is used to pump the uniformly mixed mud and sand mixture in the mortar mixing tank 3 into the hydrocyclone 6 for particle classification and separation.

[0047] Further, the mud and sand mixture in the hydrocyclone 6 is uniformly mixed with fluorescent polymer microsphere particles as tracer particles; the pulsed laser 14 is used to emit a laser source into the hydrocyclone 6 to make the fluorescent polymer microsphere particles emit fluorescence.

[0048] Further, the circumferential displacement guide rail 8 is used to adjust the lateral shooting angle of each CCD camera, the vertical displacement guide rail 1 and the vertical displacement guide rail 2 are respectively used to adjust the vertical shooting section of the corresponding CCD camera, and the CCD camera is used to shoot the high-definition instantaneous image of the tracer particles and send it to the computer image processing system 15;

[0049] The computer image processing system 15 obtains the motion trajectory information of the tracer particles through the image tracking algorithm, and obtains the spatial displacement information of the tracer particles in the tangential, radial and axial three dimensions through the fast Fourier transform cross-correlation analysis algorithm.

[0050] The present invention has the following main advantages compared with the prior art:

[0051] 1. The present invention transports the mixture of unseparated coarse particles and fine particles to the hydrocyclone through the slurry delivery pump, and under the action of the centrifugal force of the cyclone, the coarse particles are discharged from the bottom discharge port, and the fine particles are discharged from the upper overflow port; at the same time, using the pulsed laser light source and the high-frequency CCD camera, combined with the high-precision displacement guide rail, multi-angle and high-frequency continuous shooting of the instantaneous fluorescent polymer microsphere particle images are realized, and then the motion trajectories of particles with different particle sizes are obtained based on the image tracking algorithm, and through the fast Fourier transform cross-correlation analysis algorithm, accurate measurement of the velocity components of the particles in the tangential, radial and axial three dimensions can be realized.

[0052] 2. By simulating the corresponding actual working conditions in the laboratory, the present invention can obtain the velocity distribution information of any cross-section and multi-dimensional spatial points in the sediment separation cyclone field, realizing non-contact, non-disturbing, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment, and further providing real-time and accurate data for actual industrial production. At the same time, an artificial intelligence learning system can be supported to intelligently analyze a large amount of experimental data, and an optimized cyclone separation technology parameter model can be fitted to efficiently serve industrial production.

[0053] 3. The present invention respectively arranges a plurality of high-frequency CCD cameras longitudinally on two vertical displacement guide rails. Cooperating with the circumferential displacement guide rail, it can efficiently and conveniently obtain high-definition instantaneous images of tracer particles in three dimensions. At the same time, according to the axial displacement information of the tracer particles obtained from the previous test, the height of the CCD camera on the vertical displacement guide rail is corrected in real time, which can further improve the acquisition accuracy of particle images and the accuracy of experimental measurement results. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is the overall flow chart of the multi-dimensional sediment separation cyclone field particle tracing and capturing test method of the present invention;

[0055] Figure 2 is the structural schematic diagram of the multi-dimensional sediment separation cyclone field particle tracing and capturing test platform of the present invention.

[0056] In the figure: 1 - mud delivery pump; 2 - pumping flowmeter; 3 - mortar mixing barrel; 4 - mortar flowmeter; 5 - pressure gauge; 6 - hydrocyclone; 7 - first vertical displacement guide rail; 8 - circumferential displacement guide rail; 9 - second vertical displacement guide rail; 10 - first left CCD camera; 11 - second left CCD camera; 12 - first right CCD camera; 13 - second right CCD camera; 14 - pulsed laser; 15 - computer image processing system; 16 - first connecting pipe; 17 - second connecting pipe; 18 - overflow port; 19 - discharge port. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0058] It should be noted that according to the needs of implementation, each step / component described in this application can be split into more steps / components, or two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0059] Embodiment 1 provides a method for multi-dimensional sediment separation cyclone field particle tracing and capturing experiment, as Figure 1 shown, mainly including the following steps:

[0060] S1, Preparation of sediment mixture: After the mined sediment mixture is crushed by a crusher and preliminarily screened by a sieve, it is loaded into a mortar mixing barrel, and a preset mass of water is added and mixed evenly with the sediment to configure a mortar with a preset concentration.

[0061] S2, Particle classification and separation by a hydrocyclone: The evenly mixed mortar is pumped into the hydrocyclone by a slurry pump for particle classification and separation. Under the action of the centrifugal force of the cyclone, the coarse particles are discharged from the bottom outlet, and the fine particles are discharged from the upper overflow outlet.

[0062] S3, Using fluorescent polymer microsphere particles as tracer particles: The fluorescent polymer microsphere particles are used as tracer particles and evenly dispersed into the mortar and move with the rotating fluid of the mortar. At the same time, a laser source is emitted by a pulsed laser, so that the fluorescent polymer microsphere particles emit fluorescence.

[0063] S4, Obtaining high-definition instantaneous images of tracer particles in three dimensions within a specified viewing angle and cross-section in the cyclone field: Through the cooperation of the circumferential displacement guide rail and the vertical displacement guide rail, each CCD camera is moved to the specified viewing angle and cross-section for synchronous shooting to obtain high-definition instantaneous images of tracer particles in three dimensions, and the obtained high-definition instantaneous images of tracer particles are sent to the computer image processing system in real time.

[0064] S5, Obtaining the motion trajectory information of tracer particles through an image tracking algorithm, and obtaining the spatial displacement information of tracer particles in the tangential, radial, and axial three dimensions through a fast Fourier transform cross-correlation analysis algorithm.

[0065] S6, Based on the spatial displacement information of tracer particles in three dimensions , , and the time interval , calculating the velocity components of the tracer particles in the tangential, radial, and axial three dimensions, and interpolating the discrete velocity points through standard Gaussian weight interpolation to obtain continuous velocity information of the tracer particles in three dimensions.

[0066] Furthermore, in step S5, the image tracking algorithm includes:

[0067] Obtain the image signal captured at time t1:

[0068] ;

[0069] Obtain the image signal captured at time t2:

[0070] ;

[0071] Wherein, F is the trajectory function, and are the image noise interferences at times t1 and t2 respectively;

[0072] By - , to obtain the motion trajectory of the tracer particle within the time interval :

[0073] .

[0074] Furthermore, in step S5, the fast Fourier transform cross - correlation analysis algorithm includes:

[0075] The cross - correlation function of the image signal captured at time t1 and the image signal captured at time t2 is as follows:

[0076]

[0077] Wherein, are all correlation coefficients;

[0078] By solving the maximum value of the cross - correlation function , to obtain the spatial displacement information of the tracer particle in the tangential, radial, and axial dimensions within the time interval : , , .

[0079] Furthermore, in step S3, the maximum energy of the pulsed laser must reach 600 mJ / pulse, the repetition frequency is 20 Hz, the pixel resolution of the CCD camera must reach 2048×2048 ppi, and the frame rate is 20 fps.

[0080] Furthermore, in step S4, the obtaining of the high - definition instantaneous images of the tracer particle in three dimensions includes:

[0081] S41, adjust the positions of the vertical displacement guide rail 1 and the vertical displacement guide rail 2 along the circumferential displacement guide rail so that the vertical displacement guide rail 1 and the vertical displacement guide rail 2 are orthogonally arranged;

[0082] S42. Adjust the heights of the left CCD camera 1 and the left CCD camera 2 along the vertical displacement guide rail 1 respectively, so that the left CCD camera 1 is at the specified height H, and the longitudinal distance between the left CCD camera 1 and the left CCD camera 2 is equal to the preset value h;

[0083] The preset value h is based on the time interval obtained from the previous test The axial displacement of the tracer particles inside Multiplied by a preset correction factor;

[0084] S43. Adjust the heights of the right CCD camera 1 and the right CCD camera 2 along the vertical displacement guide rail 2 respectively, so that the right CCD camera 1 and the right CCD camera 2 are flush with the left CCD camera 1 and the left CCD camera 2 respectively;

[0085] S44. Through the left CCD camera 1 and the right CCD camera 1 which are orthogonally and flushly arranged, obtain the tangential and radial instantaneous images of the tracer particles at the height H section;

[0086] S45. Through the left CCD camera 2 and the right CCD camera 2 which are orthogonally and flushly arranged, obtain the tangential and radial instantaneous images of the tracer particles at the height H - h section;

[0087] S46. Through the CCD camera 1 and the CCD camera 2 arranged longitudinally on the same side, obtain the axial instantaneous images of the tracer particles on this side.

[0088] Furthermore, three-dimensional space calibration and CCD camera calibration are required before the test. Images of the calibration target disk at multiple points on the vertical axis are collected at the positions where particle images need to be taken, the centers of each target disk image are found, and mechanical errors are corrected.

[0089] Embodiment 2. Based on the same inventive concept, this embodiment also provides a multi-dimensional sediment separation cyclone field particle tracer and capture test platform for implementing the test method as described above, as Figure 2 shown, mainly including:

[0090] Slurry delivery pump 1, pumping flowmeter 2, mortar mixing barrel 3, mortar flowmeter 4, pressure gauge 5, hydrocyclone 6, high-precision vertical displacement guide rail 1 7, high-precision circumferential displacement guide rail 8, high-precision vertical displacement guide rail 2 9, left CCD camera 1 10, left CCD camera 2 11, right CCD camera 1 12, right CCD camera 2 13, pulsed laser 14, computer image processing system 15.

[0091] Among them, the bottom water inlet of the mortar mixing barrel 3 is connected to the slurry pump 1 through the first connecting pipe 16, and the side slurry outlet of the mortar mixing barrel 3 is connected to the side feed inlet of the hydrocyclone 6 through the second connecting pipe 17. An overflow port 18 is arranged at the top of the hydrocyclone 6, and a discharge port 19 is arranged at the bottom;

[0092] On both sides of the hydrocyclone 6, a first vertical displacement guide rail 7 and a second vertical displacement guide rail 9 are respectively arranged. A pulsed laser 14 is erected at the top, and a circumferential displacement guide rail 8 is arranged around the bottom along the circumference. The bottom ends of the first vertical displacement guide rail 7 and the second vertical displacement guide rail 9 are both installed on the circumferential displacement guide rail 8;

[0093] On the side of the first vertical displacement guide rail 7 facing the hydrocyclone 6, a first left CCD camera 10 and a second left CCD camera 11 are successively installed along the longitudinal direction. On the side of the second vertical displacement guide rail 9 facing the hydrocyclone 6, a first right CCD camera 12 and a second right CCD camera 13 are successively installed along the longitudinal direction;

[0094] The first left CCD camera 10, the second left CCD camera 11, the first right CCD camera 12, the second right CCD camera 13 and the pulsed laser 14 are all electrically connected to the computer image processing system 15.

[0095] Furthermore, a buffer tank is connected to the output port of the slurry pump 1, and a pumping flowmeter 2 and a first flow regulating valve are installed at one end of the first connecting pipe 16 close to the output port of the slurry pump 1.

[0096] Furthermore, a mortar flowmeter 4 and a second flow regulating valve are installed at one end of the second connecting pipe 17 close to the slurry outlet of the mortar mixing barrel 3, and corresponding pressure gauges 5 and turbine flowmeters are installed at the feed inlet, the overflow port 18 and the discharge port 19 of the hydrocyclone 6.

[0097] Furthermore, the slurry pump 1 is used to pump the uniformly mixed sand and mud mixture in the mortar mixing barrel 3 into the hydrocyclone 6 for particle classification and separation.

[0098] Furthermore, fluorescent polymer microsphere particles are uniformly mixed with the sand and mud mixture in the hydrocyclone 6 as tracer particles; the pulsed laser 14 is used to emit a laser source into the hydrocyclone 6 to make the fluorescent polymer microsphere particles emit fluorescence.

[0099] Furthermore, the circumferential displacement guide rail 8 is used to adjust the horizontal shooting angle of each CCD camera, the first vertical displacement guide rail 7 and the second vertical displacement guide rail 9 are respectively used to adjust the vertical shooting section of the corresponding CCD camera, and the CCD camera is used to shoot the high-definition instantaneous image of the tracer particles and send it to the computer image processing system 15;

[0100] The computer image processing system 15 obtains the motion trajectory information of the tracer particles through an image tracking algorithm, and obtains the spatial displacement information of the tracer particles in the tangential, radial, and axial dimensions through a fast Fourier transform cross-correlation analysis algorithm.

[0101] Furthermore, the hydrocyclone in the test platform can be set with different specifications according to requirements such as different flow rates, components, and particle sizes. Simulation experiments are carried out by adjusting the flow rate and hydrocyclone size parameters. The data collected under different working conditions are summarized in the artificial intelligence learning system for intelligent analysis, and then an optimized hydrocyclone separation technology parameter model is fitted to efficiently serve the industrial production of sediment separation.

[0102] Embodiment 3: A multi-dimensional sediment separation hydrocyclone field particle tracing and capturing test platform provided in this embodiment. The slurry delivery pump is connected to the mortar mixing barrel. The crushed mixed material is fully stirred in the mortar mixing barrel and connected to the hydrocyclone under the control of a mortar flowmeter and a pressure gauge. A high-precision circumferential displacement guide rail is arranged at the bottom of the hydrocyclone, and the circumferential displacement guide rail is connected to the vertical displacement guide rails on both sides. Two CCD high-frequency cameras are respectively arranged on the vertical displacement guide rails on both sides. In addition, a pulsed laser is erected on the top of the hydrocyclone, and the laser and the four CCD cameras are all connected to the computer image processing system.

[0103] Furthermore, after the mined sediment mixture is crushed by a jaw crusher and then passes through a 4 mm sieve, it enters the mortar mixing barrel 3. A certain mass of water is added and fully stirred with the sediment mixture to prepare a mortar with a concentration of 100 - 200 g / L.

[0104] Furthermore, the uniformly mixed mortar is pumped to the hydrocyclone 6 by the sediment delivery pump 1 for particle classification separation. The working pressure of the hydrocyclone is 0.5 - 1.0 MPa, and the classification particle size range is 5 μm - 74 μm.

[0105] Furthermore, a buffer tank is also provided at the outlet of the slurry delivery pump to achieve a pressure stabilizing effect. The mortar in the mortar mixing barrel is input into the hydrocyclone by a delivery pump. The inlet flow rate and split ratio of the mortar mixing barrel are controlled by a flow regulating valve, and the inlet and outlet pressures and flow rates of the hydrocyclone are controlled by a pressure gauge and a turbine flowmeter.

[0106] Furthermore, the fluorescent polymer microspheres used in the test as tracer particles are uniformly dispersed in the mortar and move with the mortar rotating fluid, and the minimum air column is achieved by adjusting the pressures at the inlet and outlet.

[0107] Further, high-precision left vertical displacement guides 7 and right vertical displacement guides 9 are arranged on both sides of the hydrocyclone. The bottom of the vertical displacement guides is connected to the high-precision circumferential displacement guide. CCD cameras 10 and 11 are installed on the left vertical displacement guide, and CCD cameras 12 and 13 are installed on the right vertical displacement guide. At the same time, a pulsed laser 14 is erected above the hydrocyclone to provide a light source. After the internal flow field of the hydrocyclone rotates stably, the high-frequency CCD cameras can be moved to the specified viewing angle and section respectively by using the vertical displacement guides on both sides and the circumferential displacement guide at the bottom for synchronous shooting, so as to obtain high-definition instantaneous images of tracer particles with information in three dimensions, including tangential, radial, and axial directions, within the specified section of the swirling flow field. Then, by using the obtained high-definition instantaneous images of tracer particles, the motion trajectories of particles with different particle sizes are obtained based on the image tracking algorithm in the computer image processing system 15, and the accurate measurement of the velocity components of particles in the tangential, radial, and axial directions in three dimensions is realized through the fast Fourier transform cross-correlation analysis algorithm.

[0108] Further, the maximum energy of the pulsed laser must reach 600 mJ / pulse, and the repetition frequency is 20 Hz. The pixel resolution of the CCD camera must reach 2048×2048 ppi, and the frame rate is 20 fps.

[0109] Through the above multi-dimensional sediment separation swirling flow field particle tracing and capturing test platform, the accurate measurement of the three-dimensional velocities of particles in the tangential, radial, and axial directions within the sediment separation hydrocyclone of argillaceous sandstone ore can be realized, which can provide an important reference for analyzing the motion trajectories of sediment particles in the swirling flow field and provide real-time and accurate data for actual industrial production.

[0110] Further, the parts not detailed in this application are the same as the prior art or are implemented using the prior art.

[0111] To sum up:

[0112] 1. In the present invention, a mixture of unseparated coarse particles and fine particles is transported to the hydrocyclone through a slurry pump. Under the action of the centrifugal force of the hydrocyclone, the coarse particles are discharged from the bottom discharge port, and the fine particles are discharged from the upper overflow port. At the same time, by using the light source of the pulsed laser and the high-frequency CCD camera, in cooperation with the high-precision displacement guide, continuous shooting of instantaneous fluorescence polymer microsphere particle images from multiple perspectives and at high frequencies is realized. Then, based on the image tracking algorithm, the motion trajectories of particles with different particle sizes are obtained, and through the fast Fourier transform cross-correlation analysis algorithm, the accurate measurement of the velocity components of particles in the tangential, radial, and axial directions in three dimensions can be realized.

[0113] 2. By simulating the corresponding actual working conditions in the laboratory, the present invention can obtain the velocity distribution information of any cross-section and multi-dimensional spatial points in the sand separation cyclone field, realizing non-contact, non-disturbing, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment, and further providing real-time and accurate data for actual industrial production. At the same time, an artificial intelligence learning system can be supported to intelligently analyze a large amount of experimental data, and an optimized cyclone separation technology parameter model can be fitted to efficiently serve industrial production.

[0114] 3. The present invention respectively arranges a plurality of high-frequency CCD cameras longitudinally on two vertical displacement guide rails. In cooperation with the circumferential displacement guide rail, high-definition instantaneous images of tracer particles in three dimensions can be obtained efficiently and conveniently. At the same time, according to the axial displacement information of the tracer particles obtained in the previous test, the height of the CCD camera on the vertical displacement guide rail is corrected in real time, which can further improve the acquisition accuracy of particle images and the accuracy of experimental measurement results.

[0115] It is easy for those skilled in the art to understand that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-dimensional mud-sand separation cyclone field particle tracing and capture test method, characterized in that: The steps include: S1, mud-sand mixture material preparation: the mud-sand mixture after mining is crushed by a crusher and preliminarily screened by a screen, then put into a mortar mixing barrel, and a preset mass of water is added to mix the mud and sand evenly to prepare a mortar of a preset concentration; S2, hydrocyclone for particle classification and separation: the evenly mixed slurry is pumped to the hydrocyclone through a slurry delivery pump for particle classification and separation. Under the centrifugal force of the hydrocyclone, the coarse particles are discharged from the bottom discharge port, and the fine particles are discharged from the upper overflow port; S3, using fluorescent polymer microsphere particles as tracer particles: the fluorescent polymer microsphere particles are uniformly dispersed in the mortar as tracer particles and move with the rotating fluid of the mortar, and at the same time, a pulsed laser is used to emit a laser source to make the fluorescent polymer microsphere particles emit fluorescence; S4, obtaining high-definition instantaneous images of tracer particles in three dimensions at a specified viewing angle and in a cross section in the cyclonic flow field: by coordinating the circumferential displacement guide rail with the vertical displacement guide rail, each CCD camera is moved to a specified viewing angle and cross section for synchronous shooting, so as to obtain high-definition instantaneous images of tracer particles in three dimensions, and the obtained high-definition instantaneous images of tracer particles are sent to a computer image processing system in real time; S5, obtaining the motion trajectory information of the tracer particles through an image tracking algorithm, and obtaining the spatial displacement information of the tracer particles in three dimensions, namely, tangential, radial, and axial, through a fast Fourier transform cross-correlation analysis algorithm; S6, based on the spatial displacement information of tracer particles in three dimensions , , and shooting time interval , calculating the velocity components of the tracer particles in the tangential, radial and axial directions, and interpolating the discrete velocity points through standard Gaussian weights to obtain continuous velocity information of the tracer particles in three dimensions; The image tracking algorithm comprises: Get the image signal captured at time t1: ； Get the image signal captured at time t2: ； Where F is the motion trajectory function, is the three-dimensional spatial coordinate of the tracer particle in the preset coordinate system, and They are the image noise interference at time t1 and t2 respectively; pass - , to get the time interval The trajectory of the tracer particles is: 。 2. The multi-dimensional mud-sand separation cyclone field particle tracing and capture test method according to claim 1 is characterized in that In step S4, obtaining three-dimensional high-definition instantaneous images of tracer particles includes: S41, adjusting the positions of the vertical displacement guide rail 1 and the vertical displacement guide rail 2 along the annular displacement guide rail so that the vertical displacement guide rail 1 and the vertical displacement guide rail 2 are arranged orthogonally; S42, adjusting the heights of the left CCD camera 1 and the left CCD camera 2 respectively along the vertical displacement guide rail 1, so that the left CCD camera 1 is at a specified height H, and the longitudinal distance between the left CCD camera 1 and the left CCD camera 2 is equal to a preset value h; The preset value h is based on the time interval obtained in the last test Axial displacement of the inner tracer particle Calculated by multiplying by the preset correction coefficient; S43, adjusting the heights of the right CCD camera 1 and the right CCD camera 2 respectively along the second vertical displacement guide rail so that the right CCD camera 1 and the right CCD camera 2 are flush with the left CCD camera 1 and the left CCD camera 2 respectively; S44, obtaining tangential and radial instantaneous images of the tracer particles at a cross section at a height H by using a left CCD camera 1 and a right CCD camera 1 which are arranged orthogonally and flush; S45, obtaining tangential and radial instantaneous images of the tracer particles at the cross section at height Hh by using a left CCD camera 2 and a right CCD camera 2 that are orthogonally arranged in parallel; S46, obtaining an axial instantaneous image of the tracer particles on the side through CCD camera 1 and CCD camera 2 arranged longitudinally on the same side.

3. The multi-dimensional mud-sand separation cyclone field particle tracing and capture test method according to claim 1 is characterized in that In step S5, the fast Fourier transform cross-correlation analysis algorithm includes: The cross-correlation function of the image signal captured at time t1 and the image signal captured at time t2 is as follows: In the formula, All are correlation coefficients; By solving the cross-correlation function The maximum value of to get the time interval The spatial displacement information of the tracer particles in the tangential, radial and axial dimensions , , .

4. A multi-dimensional mud-sand separation cyclone field particle tracing and capture test platform, using the multi-dimensional mud-sand separation cyclone field particle tracing and capture test method as claimed in any one of claims 1 to 3, characterized in that: include: A mortar mixing barrel (3) for loading a mud-sand mixture, wherein a bottom water inlet of the mortar mixing barrel (3) is connected to a mud delivery pump (1) via a first connecting pipe (16), a side slurry outlet of the mortar mixing barrel (3) is connected to a side feed inlet of a hydrocyclone (6) via a second connecting pipe (17), and an overflow outlet (18) is provided at the top of the hydrocyclone (6), and a discharge outlet (19) is provided at the bottom; A vertical displacement guide rail 1 (7) and a vertical displacement guide rail 2 (9) are respectively arranged on both sides of the hydrocyclone (6), a pulse laser (14) is mounted on the top, and an annular displacement guide rail (8) is arranged around the bottom along the circumferential direction, and the bottom ends of the vertical displacement guide rail 1 (7) and the vertical displacement guide rail 2 (9) are both mounted on the annular displacement guide rail (8); A plurality of CCD cameras are installed on the side of the vertical displacement guide rail 1 (7) and the side of the vertical displacement guide rail 2 (9) facing the hydrocyclone (6), and the CCD cameras and the pulse laser (14) are electrically connected to a computer image processing system (15).

5. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 4 is characterized in that: A left CCD camera 1 (10) and a left CCD camera 2 (11) are sequentially mounted along the longitudinal direction on the side of the vertical displacement guide rail 1 (7) facing the hydrocyclone (6); a right CCD camera 1 (12) and a right CCD camera 2 (13) are sequentially mounted along the longitudinal direction on the side of the vertical displacement guide rail 2 (9) facing the hydrocyclone (6).

6. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 4 is characterized in that: The output port of the mud delivery pump (1) is connected to a buffer tank, and a pumping flow meter (2) and a flow regulating valve (1) are installed on one end of the connecting pipe (16) close to the output port of the mud delivery pump (1); A mortar flow meter (4) and a second flow regulating valve are installed at one end of the second connecting pipe (17) close to the mortar outlet of the mortar mixing barrel (3), and corresponding pressure gauges (5) and turbine flow meters are installed at the feed port, overflow port (18) and discharge port (19) of the hydrocyclone (6).

7. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 4 is characterized in that: The mud delivery pump (1) is used to pump the mud-sand mixture evenly mixed in the mortar mixing barrel (3) into the hydrocyclone (6) for particle classification and separation.

8. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 7 is characterized in that: The mud-sand mixture in the hydrocyclone (6) is uniformly mixed with fluorescent polymer microsphere particles as tracer particles; the pulse laser (14) is used to emit a laser source into the hydrocyclone (6) to cause the fluorescent polymer microsphere particles to emit fluorescence.

9. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 8 is characterized in that: The annular displacement guide rail (8) is used to adjust the lateral shooting angle of each CCD camera, and the vertical displacement guide rail 1 (7) and the vertical displacement guide rail 2 (9) are respectively used to adjust the vertical shooting section of the corresponding CCD camera, and the CCD camera is used to capture the high-definition instantaneous image of the tracer particle and send it to the computer image processing system (15); The computer image processing system (15) obtains the motion trajectory information of the tracer particles through an image tracking algorithm, and obtains the spatial displacement information of the tracer particles in three dimensions: tangential, radial, and axial directions through a fast Fourier transform cross-correlation analysis algorithm.

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