Multi-dimensional mud-sand separation swirling flow field particle tracing and capturing test method and platform

Abstract

The invention discloses a multi-dimensional mud-sand separation swirling flow field particle tracing and capturing test method and a test platform. A mixture of unseparated coarse particles and fine particles is conveyed to the hydrocyclone through the slurry conveying pump, and under the action of 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. A pulse laser light source and a high-frequency CCD (Charge Coupled Device) camera are used for controlling continuous multi-view multi-time shooting of instantaneous fluorescent polymer microsphere particle images through a high-precision displacement guide rail, and motion tracks of particles with different particle sizes are obtained based on an image tracking algorithm; and accurate measurement of tangential, radial and axial three-dimensional velocity components of the particles is realized through fast Fourier transform cross-correlation analysis. Based on the test method and the test platform, speed distribution information in any tangent plane and multi-dimensional space points in the rotational flow field can be obtained, and non-contact, non-disturbance and high-precision measurement and display of the whole flow field in a complex flow field environment are achieved.

Description

Technical Field

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

[0002] Muddy sandstone ore resources usually exist in complex multiphase media, and the efficiency of their extraction and separation is mainly affected and controlled by the interface characteristics of the medium. It is difficult to achieve low-cost and efficient extraction of muddy sandstone ores by directly using the traditional single leaching process. Although the existing technology has gradually developed a process combining physical, chemical and microbial methods, the overall extraction effect of the relevant methods in sandstone ores with severe mudification is still not ideal.

[0003] A cyclone is a device that grades or separates particles by particle size and density. The mud and sand separation cyclone technology can grade and separate mud and sand in muddy sandstone mines. Improving the separation performance of the cyclone requires in-depth understanding and research of its internal flow field. The fluid mechanics behavior and the movement law of the dispersed phase mud and sand particles in the cyclone are very complex, and the velocity components of the particles in the tangential, radial, and axial directions are difficult to measure accurately. Therefore, how to stably and reliably obtain the multi-dimensional mud and sand separation cyclone technical parameters is the key to breaking through the rapid sand washing and accurate classification technology.

[0004] The existing technology usually uses computer simulation software to simulate the movement law of mud and sand particles in the cyclone field. However, since the working conditions and material parameters are difficult to set in advance, a large amount of experimental data and data analysis and fitting are required, which will cause software simulation distortion, greatly reducing the auxiliary function for actual production. In addition, the cost of collecting a large amount of industrial field trial production data is very high, and the scalability is poor. Therefore, there is an urgent need to develop a multi-dimensional mud-sand separation cyclone field particle tracing and capture test method and platform to simulate the corresponding actual working conditions in the laboratory and obtain the velocity distribution information in any section and multi-dimensional spatial point in the cyclone field, so as to realize non-contact, non-disturbance, 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

[0005] The technical problem to be solved by the present invention is to provide a multi-dimensional mud-sand separation cyclone field particle tracing and capture test method and test platform, which can obtain the velocity distribution information of any section and multi-dimensional spatial point in the mud-sand separation cyclone field, and realize non-contact, non-disturbance, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: 1. Experimental method of particle tracing and capture in multi-dimensional cyclone field of mud-sand separation The present invention also provides a multi-dimensional mud-sand separation cyclone field particle tracing and capture test method, comprising the following steps: 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 , calculate the velocity components of the tracer particles in the tangential, radial and axial dimensions, and interpolate the discrete velocity points through standard Gaussian weights to obtain continuous velocity information of the tracer particles in three dimensions.

[0007] Furthermore, 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, acquiring an axial instantaneous image of the tracer particle on the side through a CCD camera 1 and a CCD camera 2 arranged along the longitudinal direction on the same side; The CCD camera first performs three-dimensional space calibration and image calibration before shooting, including: collecting images of the calibration target disk at multiple points in the vertical direction at the specified viewing angle and cross-sectional position, and finding the center of each target disk image to correct the mechanical error of the CCD camera.

[0008] Furthermore, in step S5, the image tracking algorithm includes: Get the image signal captured at time t1: ; Get the image signal captured at time t2: ; Where F is the 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: .

[0009] Further, 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:

[0010] 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 , , .

[0011] 2. Multi-dimensional mud-sand separation cyclone field particle tracing and capture test platform Based on the same inventive concept, the present invention also provides a multi-dimensional mud-sand separation cyclone field particle tracing and capture test platform, which adopts the above-mentioned test method and includes: A mortar mixing barrel 3 for loading mud-sand mixture, wherein the bottom water inlet of the mortar mixing barrel 3 is connected to the mud delivery pump 1 through a connecting pipe 16, and the side slurry outlet of the mortar mixing barrel 3 is connected to the side feed port of the hydrocyclone 6 through a connecting pipe 2 17, and the top of the hydrocyclone 6 is provided with an overflow port 18, and the bottom is provided with a discharge port 19; The two sides of the hydrocyclone 6 are respectively provided with a vertical displacement guide rail 1 7 and a vertical displacement guide rail 2 9, 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 installed on the annular displacement guide rail 8; A left CCD camera 10 and a left CCD camera 2 11 are sequentially installed along the longitudinal direction on the side of the vertical displacement guide rail 1 7 facing the hydrocyclone 6, and a right CCD camera 12 and a right CCD camera 2 13 are sequentially installed along the longitudinal direction on the side of the vertical displacement guide rail 2 9 facing the hydrocyclone 6; The left CCD camera 1 10 , the left CCD camera 2 11 , the right CCD camera 1 12 , the right CCD camera 2 13 and the pulse laser 14 are all electrically connected to the computer image processing system 15 .

[0012] Furthermore, 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.

[0013] Furthermore, a mortar flowmeter 4 and a flow regulating valve 2 are installed at one end of the connecting pipe 17 close to the mortar outlet of the mortar mixing barrel 3, and the feed port, overflow port 18 and discharge port 19 of the hydrocyclone 6 are all installed with corresponding pressure gauges 5 and turbine flowmeters.

[0014] Furthermore, the mud delivery pump 1 is used to pump the mud-sand mixture uniformly mixed in the mortar mixing barrel 3 into the hydrocyclone 6 for particle classification and separation.

[0015] Furthermore, 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 make the fluorescent polymer microsphere particles emit fluorescence.

[0016] Furthermore, 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 take a 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, namely, tangential, radial and axial, through a fast Fourier transform cross-correlation analysis algorithm.

[0017] Compared with the prior art, the present invention has the following main advantages: 1. The present invention delivers a mixture of unseparated coarse particles and fine particles to a hydrocyclone through a mud delivery pump, and 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, a pulsed laser light source and a high-frequency CCD camera are used in conjunction with a high-precision displacement guide to achieve multi-angle, high-frequency continuous shooting of instantaneous fluorescent polymer microsphere particle images, and then the motion trajectories of particles of different particle sizes are obtained based on an image tracking algorithm, and the fast Fourier transform cross-correlation analysis algorithm can be used to achieve accurate measurement of the velocity components of the particles in three dimensions: tangential, radial, and axial.

[0018] 2. The present invention can obtain the velocity distribution information of any section and multi-dimensional spatial point in the mud-sand separation cyclone field by simulating the corresponding actual working conditions in the laboratory, and realize the contactless, disturbance-free, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment, thereby providing real-time and accurate data for actual industrial production; at the same time, it can be equipped with an artificial intelligence learning system to perform intelligent analysis on a large amount of experimental data, and can be fitted into an optimized cyclone separation technical parameter model to efficiently serve industrial production.

[0019] 3. The present invention respectively sets a plurality of high-frequency CCD cameras along the longitudinal direction on the two vertical displacement rails, and cooperates with the circumferential displacement rail to 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 in the previous test, the height of the CCD camera on the vertical displacement rail is corrected in real time, which can further improve the acquisition accuracy of the particle image and improve the accuracy of the experimental measurement results. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1It is an overall flow chart of the particle tracing and capturing test method of the multi-dimensional mud-sand separation cyclone field of the present invention; Figure 2 It is a structural schematic diagram of the particle tracing and capturing test platform of the multi-dimensional mud-sand separation cyclone field of the present invention.

[0021] In the figure: 1-mud delivery pump; 2-pumping flowmeter; 3-mortar mixing barrel; 4-mortar flowmeter; 5-pressure gauge; 6-hydrocyclone; 7-vertical displacement guide rail one; 8-circumferential displacement guide rail; 9-vertical displacement guide rail two; 10-left CCD camera one; 11-left CCD camera two; 12-right CCD camera one; 13-right CCD camera two; 14-pulse laser; 15-computer image processing system; 16-connecting pipe one; 17-connecting pipe two; 18-overflow port; 19-discharge port. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended 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.

[0023] It should be pointed out that, according to the needs of implementation, the various steps / components described in this application can be split into more steps / components, and 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.

[0024] Embodiment 1: This embodiment provides a multi-dimensional mud-sand separation cyclone field particle tracing and capture test method, such as Figure 1 As shown, it mainly includes the following steps: 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 time interval , calculate the velocity components of the tracer particles in the tangential, radial and axial dimensions, and interpolate the discrete velocity points through standard Gaussian weights to obtain continuous velocity information of the tracer particles in three dimensions.

[0025] Furthermore, in step S5, the image tracking algorithm includes: Get the image signal captured at time t1: ; Get the image signal captured at time t2: ; Where F is the trajectory function, 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: .

[0026] Further, 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:

[0027] 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 , , .

[0028] Furthermore, the maximum energy of the pulse laser in step S3 must reach 600 mJ / pulse, the repetition frequency must reach 20 Hz, the pixel resolution of the CCD camera must reach 2048×2048 ppi, and the frame rate must reach 20 fps.

[0029] Furthermore, 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.

[0030] Furthermore, three-dimensional space calibration and CCD camera calibration are required before testing. Images of the calibration target disk at multiple points on the vertical axis are collected at the position where the particle image needs to be captured, the center of each target disk image is found, and mechanical errors are corrected.

[0031] Embodiment 2, based on the same inventive concept, this embodiment also provides a multi-dimensional mud-sand separation cyclone field particle tracing and capture test platform, which is used to implement the above-mentioned test method, such as Figure 2 As shown, it mainly includes: Mud 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, pulse laser 14, computer image processing system 15.

[0032] The bottom water inlet of the mortar mixing barrel 3 is connected to the mud delivery pump 1 through a connecting pipe 16, and the side slurry outlet of the mortar mixing barrel 3 is connected to the side feed port of the hydrocyclone 6 through a connecting pipe 2 17. The top of the hydrocyclone 6 is provided with an overflow port 18, and the bottom is provided with a discharge port 19; The two sides of the hydrocyclone 6 are respectively provided with a vertical displacement guide rail 1 7 and a vertical displacement guide rail 2 9, 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 installed on the annular displacement guide rail 8; A left CCD camera 10 and a left CCD camera 2 11 are sequentially installed along the longitudinal direction on the side of the vertical displacement guide rail 1 7 facing the hydrocyclone 6, and a right CCD camera 12 and a right CCD camera 2 13 are sequentially installed along the longitudinal direction on the side of the vertical displacement guide rail 2 9 facing the hydrocyclone 6; The left CCD camera 1 10 , the left CCD camera 2 11 , the right CCD camera 1 12 , the right CCD camera 2 13 and the pulse laser 14 are all electrically connected to the computer image processing system 15 .

[0033] Furthermore, 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.

[0034] Furthermore, a mortar flowmeter 4 and a flow regulating valve 2 are installed at one end of the connecting pipe 17 close to the mortar outlet of the mortar mixing barrel 3, and the feed port, overflow port 18 and discharge port 19 of the hydrocyclone 6 are all installed with corresponding pressure gauges 5 and turbine flowmeters.

[0035] Furthermore, the mud delivery pump 1 is used to pump the mud-sand mixture uniformly mixed in the mortar mixing barrel 3 into the hydrocyclone 6 for particle classification and separation.

[0036] Furthermore, 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 make the fluorescent polymer microsphere particles emit fluorescence.

[0037] Furthermore, 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 take a 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, namely, tangential, radial and axial, through a fast Fourier transform cross-correlation analysis algorithm.

[0038] Furthermore, the cyclones in the test platform can be set with different specifications according to different flow rates, components, particle sizes and other requirements. By adjusting the flow rate and cyclone size parameters, simulation experiments can be carried out, and the data collected under different working conditions can be summarized into the artificial intelligence learning system for intelligent analysis. Then, a set of optimized cyclone separation technical parameter models can be fitted to efficiently serve the sediment separation industrial production.

[0039] Embodiment 3: This embodiment provides a multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform. The mud 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 the mortar flowmeter and pressure gauge. A high-precision annular displacement guide is arranged at the bottom of the cyclone, and the annular displacement guide is connected to the vertical displacement guides on both sides. Two CCD high-frequency cameras are arranged on the vertical displacement guides on both sides. In addition, a pulse laser is set up on the top of the cyclone. The laser and four CCD cameras are connected to the computer image processing system.

[0040] Furthermore, the mud-sand mixture after mining is crushed by a jaw crusher, and then passes through a 4 mm screen before entering a mortar mixing barrel 3, where a certain mass of water is added to the mud-sand mixture and fully mixed to form a 100-200 g / L mortar.

[0041] Furthermore, the evenly mixed mortar is pumped to the hydrocyclone 6 by the mud and sand delivery pump 1 for particle classification and separation. The working pressure of the hydrocyclone is 0.5-1.0 MPa, and the classification particle size range is 5 μm-74 μm.

[0042] Furthermore, a buffer tank is provided at the outlet of the mud delivery pump to achieve pressure stabilization; the mortar in the mortar mixing barrel is input into the cyclone through the delivery pump, the inlet flow and diversion ratio of the mortar mixing barrel are controlled by the flow regulating valve, and the inlet and outlet pressures and flows of the hydrocyclone are controlled by a pressure gauge and a turbine flowmeter.

[0043] Furthermore, the fluorescent polymer microspheres used in the experiment were evenly dispersed in the mortar as tracer particles and moved with the rotating fluid of the mortar, and the minimum air column was achieved by adjusting the inlet and outlet pressures.

[0044] Furthermore, high-precision left vertical displacement guide rail 7 and right vertical displacement guide rail 9 are arranged on both sides of the hydrocyclone, and the bottom of the vertical displacement guide rail is connected to the high-precision annular displacement guide rail. CCD cameras 10 and 11 are installed on the left vertical displacement guide rail, and CCD cameras 12 and 13 are installed on the right vertical displacement guide rail. At the same time, a pulse laser 14 is set up above the hydrocyclone to provide a light source. After the flow field in the hydrocyclone rotates stably, the vertical displacement guide rails on both sides and the bottom annular displacement guide rail can be used to move the high-frequency CCD camera to the specified viewing angle and cross-section for synchronous shooting, and obtain high-definition instantaneous images of tracer particles in three dimensions within the specified cross-section of the cyclone field, including tangential, radial and axial information; then, the obtained high-definition instantaneous images of tracer particles are used to obtain the motion trajectories of particles of different particle sizes based on the image tracking algorithm in the computer image processing system 15, and the fast Fourier transform cross-correlation analysis algorithm is used to achieve accurate measurement of the velocity components of the particles in the three dimensions of tangential, radial and axial.

[0045] Furthermore, the maximum energy of the pulse laser must reach 600mJ / pulse, the repetition frequency must reach 20Hz, the pixel resolution of the CCD camera must reach 2048×2048ppi, and the frame rate must reach 20fps.

[0046] Through the above-mentioned multi-dimensional mud and sand separation cyclone field particle tracing and capture test platform, it is possible to achieve accurate measurement of the tangential, radial and axial three-dimensional velocities of particles in the hydraulic cyclone field of mud and sand separation in muddy sandstone ore, which can provide an important reference for analyzing the movement trajectory of mud and sand particles in the cyclone field and provide real-time and accurate data for actual industrial production.

[0047] Furthermore, all parts involved in this application that are not described in detail are the same as the prior art or are implemented using the prior art.

[0048] In summary: 1. The present invention delivers a mixture of unseparated coarse particles and fine particles to a hydrocyclone through a mud delivery pump, and 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, a pulsed laser light source and a high-frequency CCD camera are used in conjunction with a high-precision displacement guide to achieve multi-angle, high-frequency continuous shooting of instantaneous fluorescent polymer microsphere particle images, and then the motion trajectories of particles of different particle sizes are obtained based on an image tracking algorithm, and the fast Fourier transform cross-correlation analysis algorithm can be used to achieve accurate measurement of the velocity components of the particles in three dimensions: tangential, radial, and axial.

[0049] 2. The present invention can obtain the velocity distribution information of any section and multi-dimensional spatial point in the mud-sand separation cyclone field by simulating the corresponding actual working conditions in the laboratory, and realize the contactless, disturbance-free, high-precision measurement and display of the entire flow field in a complex multiphase medium flow field environment, thereby providing real-time and accurate data for actual industrial production; at the same time, it can be equipped with an artificial intelligence learning system to perform intelligent analysis on a large amount of experimental data, and can be fitted into an optimized cyclone separation technical parameter model to efficiently serve industrial production.

[0050] 3. The present invention respectively sets a plurality of high-frequency CCD cameras along the longitudinal direction on the two vertical displacement rails, and cooperates with the circumferential displacement rail to 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 in the previous test, the height of the CCD camera on the vertical displacement rail is corrected in real time, which can further improve the acquisition accuracy of the particle image and improve the accuracy of the experimental measurement results.

[0051] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should 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 , calculate the velocity components of the tracer particles in the tangential, radial and axial dimensions, and interpolate the discrete velocity points through standard Gaussian weights to obtain continuous velocity information of the tracer particles in three dimensions.

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 image tracking algorithm includes: 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: 。 4. The multi-dimensional mud-sand separation cyclone field particle tracing and capture test method according to claim 3 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 , , .

5. 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 4, 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).

6. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 5 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).

7. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 5 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).

8. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 5 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.

9. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 8 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.

10. The multi-dimensional mud-sand separation cyclone field particle tracing and capturing test platform according to claim 9 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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