A control method for a test device simulating tailings mud flow

Abstract

The present invention relates to the general field of image data processing or generation, and specifically to a control method for an experimental device for simulating tailings mud flow flow, wherein experimental mud flow data is collected by an image sensor to estimate mud flow flow properties. The device comprises a transparent water tank, a motor, a support frame, an image sensor, a laser generator and a light guide; the laser generator is fixed on the support frame, and the laser generator irradiates the transparent water tank through the light guide, and the light guide converts a laser beam generated by the laser generator into multiple laser beams to irradiate the transparent water tank; the light guide is fixed on the support frame; the image sensor is fixed on the support frame, and the image sensor transmits data to a control back end through a synchronizer; the image sensor is located on one side of the transparent water tank, and the image sensor is used to observe the real-time status of the tailings solution and tracer particles in the transparent water tank. The present invention saves costs, improves work efficiency and is simple to operate.

Description

Technical Field

[0001] The invention relates to the general field of image data processing or generation, and in particular to a control method for a test device for simulating tailings mud flow. Background Art

[0002] At present, the research methods for tailings mud flow are physical experiments and numerical simulations. According to investigations, most physical test methods are to build a dam model or conduct flume experiments for simulation. Although the dam model can simulate the flow process of tailings mud flow to a high degree, it has disadvantages such as high construction cost, long time, large footprint, small scope of application, and poor repeatability. In addition, the experimental materials need to be supplemented from time to time during the experiment, which limits the use of simulation experiments. Ordinary flume experiments use trenches to simulate the flow process of tailings mud flow. During the experiment, the slope of the trench is controlled to control the flow speed of the mud flow. The operation is cumbersome, and it does not completely solve the similar usage problems of the dam model, such as large footprint and high construction cost. Summary of the invention

[0003] The invention discloses a control method for a test device for simulating the flow of tailings mud flow. The method collects data on the movement state of the experimental mud flow in a transparent water tank through an image sensor, thereby solving the problems of high construction cost, long time, large floor space, small application scope and poor repeatability of previous test simulations.

[0004] A control method for a test device for simulating tailings mud flow, comprising:

[0005] S1. Collect data of experimental mud flow at different rotation speeds in the test device through an image sensor, and then transmit the data to the control backend;

[0006] S2. Compare the data collected by S1 with the test device to obtain the scale between the data image and the test device;

[0007] S3. The actual height H of the experimental mudflow is obtained through the scale, and the image data obtained at the moment of height H and twice before and after this moment are input into the image speed measurement software to obtain the average movement speed V of the experimental mudflow at this time. mean ;

[0008] S4. Analyze the continuous motion image data of the experimental mudflow collected in S2 to obtain the angular velocity ω of the experimental mudflow plug , obtained by plug The velocity V of the experimental mudflow is calculated plug ; The angle θ between the center of gravity of the experimental mudflow and the vertical direction is measured based on the collected image data;

[0009] S5. Substitute the experimental mudflow parameters in S3 and S4 into the kinematic flow formula of the experimental mudflow, and then perform the least squares fitting process on the formula to finally obtain the property parameters of the experimental mudflow.

[0010] Furthermore, the test device comprises a transparent water tank (1), a motor (2), a support frame (3), an image sensor (4), a laser generator (5) and a light guide (6);

[0011] The transparent water tank (1) comprises a water tank body (7) and a cover plate (8); the cover plate (8) is connected to the water tank body (7) via a sealing ring to form a cavity (9) inside the water tank body (7); the cavity (9) is used to place experimental mudflow and tracer particles;

[0012] The laser generator (5) is fixed on the support frame (3); the laser generator (5) irradiates the transparent water tank (1) through the light guide (6); the light guide (6) converts a laser beam generated by the laser generator (5) into multiple laser beams that irradiate the transparent water tank (1); the light guide (6) is fixed on the support frame (3);

[0013] The image sensor (4) is fixed on the support frame (3). The image sensor (4) is located on one side of the transparent water tank (1). The image sensor (4) is used to collect real-time status data of experimental mudflow and tracer particles in the transparent water tank (1); the real-time status data of the experimental mudflow and tracer particles are the experimental mudflow data in S1.

[0014] Furthermore, the water tank body (7) comprises a first truncated cone (10) and a second truncated cone (11); the diameter of the first truncated cone (10) is smaller than that of the second truncated cone (11); the first truncated cone (10) is fixed on the top of the second truncated cone (11); the first truncated cone (10) is connected to the second truncated cone (11); the cover plate (8) is fixed to the connection between the two truncated cones by a sealing ring, so that a cavity (9) is formed inside the first truncated cone (10); and a connecting hole is provided on the cover plate (8), and the connecting hole is connected to the movable end of the motor (2).

[0015] Furthermore, the image sensor (4) is a CCD camera.

[0016] Furthermore, it is assumed that the movement of the experimental mud flow in the transparent water tank (1) belongs to the plunger flow and conforms to the HB model. The constitutive relation of the HB model is:

[0017]

[0018] Where η p is infinite viscosity; τ y is the yield stress; K is the experimental mud flow coefficient; is the shear rate; τ is the shear stress.

[0019] Furthermore, the continuous motion image data of the experimental mudflow collected by S2 are analyzed to obtain the angular displacement α of the experimental mudflow within the average time interval Δt. The angular velocity calculation formula is:

[0020]

[0021] By formula:

[0022] V plug =ω pluf r;

[0023] Where r is the radius of the first cone (10); V plug is the movement velocity of the experimental mudflow plunger layer.

[0024] Furthermore, the height H of the actual experimental mudflow includes the shear layer height y0 and the plunger layer height H plug .

[0025] Furthermore, the real-time velocity V of the experimental mudflow during the test was obtained by analyzing the motion flow pattern of the experimental mudflow. (y) :

[0026] When H≥y≥y0,

[0027]

[0028] When y≤y0,

[0029]

[0030] Where, H≥y≥y0; y≤y0; y0 is the height of the shear layer; θ is the angle between the line connecting the center of gravity of the experimental mudflow and the center of the transparent water tank (1) and the vertical direction; K is the experimental mudflow flow coefficient; n is the experimental mudflow flow index; τ y is the yield stress; H is the experimental mudflow height; V (y) is the real-time velocity of the experimental mudflow during the test; ρ is the density of the experimental mudflow; g is the acceleration of gravity.

[0031] Further, by processing formula (1), we can obtain:

[0032]

[0033] Furthermore, the motion parameters of the experimental mud flow at different speeds are obtained by fitting the equation (2) with the least square method to obtain the flow property parameters K, n and τ of the experimental mud flow. y The relationship is as follows:

[0034]

[0035] In the formula, is the average velocity of the experimental mudflow obtained from the test; is the plunger flow velocity obtained from the experiment; H * is the experimental mudflow height obtained from the test; θ * is the angle between the center line of the actual experimental mud flow and the transparent water tank (1) and the vertical direction; V() represents the value measured in the experiment being substituted into formula (2).

[0036] The beneficial effects of the system of the present invention are:

[0037] The present invention discloses a control method for an experimental device for simulating the flow of tailings mud flow, wherein an experimental mud flow simulating the tailings mud flow and tracer particles are simultaneously placed in a transparent water tank. During the rotation of the transparent water tank, a real-time image of the tracer particles is collected by a visual sensor, and a laser emitter makes it easier for the image of the tracer particles to be collected by the visual sensor through a light guide. The visual sensor transmits the collected image to a control backend to analyze and process the data, and thus the motion flow state of the experimental mud flow can be estimated. The method of collecting experimental mud flow data by a visual sensor of the present invention solves the shortcomings of the traditional research method of tailings mud flow, namely, high construction cost, long time, large floor space, small application scope and poor repeatability. The present invention does not require additional experimental materials, saves costs, improves work efficiency and is simple to operate. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The invention discloses a control method flow of a test device for simulating tailings mud flow.

[0039] Figure 2 It is a test device for simulating the flow of tailings mud flow.

[0040] Figure 3 This is a schematic diagram of a transparent water tank. DETAILED DESCRIPTION

[0041] like Figure 2 As shown, a test device for simulating tailings mud flow flow includes a transparent water tank 1, a motor 2, a support frame 3, an image sensor 4, a laser generator 5 and a light guide 6; the transparent water tank 1 includes a water tank body 7 and a cover plate 8, and the cover plate 8 is connected to the water tank body 7 through a sealing ring to form a cavity 9 inside the water tank body 7, and the cavity 9 is used to place experimental mud flow and tracer particles; the transparent water tank 1 is made of acrylic plate, which has the advantages of good light transmittance and long service life. The experimental mud flow used here is the tailings solution configured to simulate the tailings mud flow.

[0042] The laser generator 5 is fixed on the support frame 3, and the laser generator 5 irradiates the transparent water tank 1 through the light guide 6. The light guide 6 converts a laser beam generated by the laser generator 5 into multiple laser beams that are irradiated on the transparent water tank 1; the light guide 6 is fixed on the support frame 3; the support frame 3 wraps the transparent water tank 1 therein, so that the light guide 6 is located directly above the transparent water tank 1, and the laser generator 5 is placed parallel to the light guide 6, so that the laser generated by the laser generator 5 can be accurately refracted into the transparent water tank 1 after passing through the light guide 6.

[0043] The image sensor 4 is fixed on the support frame 3, and the image sensor 4 transmits data to the control back end through the synchronizer; the image sensor 4 is located on one side of the transparent water tank 1, and the image sensor 4 is used to observe the real-time status of the tailings solution and the tracer particles in the transparent water tank 1. The image sensor 4 is a CCD camera. After the laser irradiates the tracer particles, the image sensor 4 will more easily capture the position of the tracer particles. The more tracer particles captured, the smaller the error will be, reducing the error of the experiment.

[0044] like Figure 3 As shown, the water tank body 7 includes a first truncated cone 10 and a second truncated cone 11, the diameter of the first truncated cone 10 is smaller than that of the second truncated cone 11, the first truncated cone 10 is fixed on the top of the second truncated cone 11, and the first truncated cone 10 is connected to the second truncated cone 11; the cover plate 8 is fixed at the connection of the two truncated cones through a sealing ring, so that a cavity 9 is formed inside the first truncated cone 10; the cover plate 8 is provided with a connecting hole, and the connecting hole is connected to the movable end of the motor 2. The cover plate 8 is fixed to the water tank body 7 by bolts, so that the cover plate 8 is fixed more firmly and the sealing of the transparent water tank 1 is increased.

[0045] like Figure 1 As shown, a control method of a test device for simulating tailings mud flow includes:

[0046] S1. Assemble the test device and place the prepared experimental mud flow and tracer particles in the cavity 9 in the transparent water tank 1;

[0047] S2. Start the motor 2, adjust the speed until the experimental mudflow and the tracer particles rotate with the transparent water tank 1, and after the experimental mudflow and the tracer particles are relatively still with the transparent water tank 1, start the laser generator 5 and the image sensor 4, and the laser emitted by the laser generator 5 is refracted into the transparent water tank 1 through the light guide 6, so that the motion trajectory of the tracer particles can be clearly captured by the image sensor 4; the image sensor 4 transmits the collected data to the control back end through the synchronizer; adjust the speed of the motor 2 and repeat the above steps to record the image data of the experimental mudflow movement at different speeds;

[0048] S3. Assume that the movement of the experimental mudflow and the tracer particles belongs to the plunger flow, so it conforms to the HB model; compare the transparent water tank 1 data collected by the image sensor 4 with the actual transparent water tank 1 to obtain the height scale of the image data and the actual device, and obtain the height H of the actual experimental mudflow according to the height and height scale of the experimental mudflow in the collected data; input the obtained height H moment and the image data twice before and after this moment into the image speed measurement software to obtain the average movement speed V of the experimental mudflow at this time mean ;

[0049] S4. Analyze the continuous motion image data of the experimental mudflow collected in S2, and obtain the angular displacement α of the experimental mudflow within the average time interval Δt, and the angular velocity ω of the experimental mudflow through the angular velocity calculation formula plug , obtained by plug The velocity V of the experimental mudflow is calculated plug ; The angle θ between the line connecting the center of gravity of the experimental mudflow and the center of the transparent water tank 1 and the vertical direction is measured based on the collected image data;

[0050] S5. Substitute the experimental mudflow parameters in S3 and S4 into the kinematic flow formula of the experimental mudflow, and then perform the least squares fitting process on the formula to finally obtain the property parameters of the experimental mudflow.

[0051] The constitutive relation of the HB model is:

[0052]

[0053] Where η p is infinite viscosity; τ y is the yield stress; K is the experimental mud flow coefficient; is the shear rate; τ is the shear stress.

[0054] The angular velocity calculation formula in S4 is:

[0055] By formula: V plug =ω plug rCalculate V plug , where r is the radius of the first frustum 10.

[0056] The processing algorithm of the image velocimetry software in S3 is a double-frame product correlation cross-correlation algorithm. First, the two images to be correlated exist independently. The movement of the tracer particles in the image is judged by the product correlation function, so as to find the maximum correlation area in the two images. The product correlation function is as follows:

[0057]

[0058] Where R(k, l) is the correlation of particle movement between adjacent images within a unit time interval; x and y are two discrete two-dimensional signals; m and n are the initial positions of the tracer particles. When R(k, l) is maximum, k and l are the relative displacements of the tracer particles in the x and y directions. Based on the relative displacement of the tracer particles, the velocity of the tracer particle section is obtained by Newton's laws of motion, and the calculation formula is as follows:

[0059]

[0060]

[0061] In the formula, x, y are the positions of the tracer particles; t is the calculation time; Δt is the calculation time interval; Δx, Δy are the displacements of the tracer particles within the calculation time interval; and u is the velocity of the tracer particles. u is V in S3 mean The value of .

[0062] The height H of the actual experimental mudflow includes the shear layer height y0 and the plunger layer height H plug .

[0063] By analyzing the motion flow pattern of the experimental mud flow, the real-time velocity V of the experimental mud flow during the test is obtained. (y) :

[0064] When H≥y≥y0,

[0065]

[0066] When y≤y0,

[0067]

[0068] Where, H≥y≥y0; y≤y0; y0 is the height of the shear layer; θ is the angle between the line connecting the center of gravity of the experimental mudflow and the center of the transparent water tank (1) and the vertical direction; K is the experimental mudflow flow coefficient; n is the experimental mudflow flow index; τ y is the yield stress; H is the experimental mudflow height; V (y) is the real-time velocity of the experimental mudflow during the test; ρ is the density of the experimental mudflow; g is the acceleration of gravity.

[0069] Processing formula (1) yields:

[0070]

[0071] The motion parameters of the experimental mud flow at different speeds are obtained by fitting the equation (2) with the least square method to obtain the flow property parameters K, n and τ of the experimental mud flow. y The relationship is as follows:

[0072]

[0073] In the formula, is the average velocity of the experimental mudflow obtained from the test; is the plunger flow velocity obtained from the experiment; H * is the experimental mudflow height obtained from the test; θ * is the angle between the center line of the actual experimental mud flow and the transparent water tank (1) and the vertical direction; V() represents the value measured in the experiment being substituted into formula (2).

[0074] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by technicians in this technical field within the essential scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A control method for a test device for simulating tailings mud flow, applied to a test device, characterized in that: include: S1. Collect data of experimental mud flow at different rotation speeds in the test device through an image sensor, and then transmit the data to the control backend; S2. Compare the data collected by S1 with the test device to obtain the scale between the data image and the test device; S3. The actual height H of the experimental mudflow is obtained through the scale, and the image data obtained at the moment of height H and twice before and after this moment are input into the image speed measurement software to obtain the average movement speed V of the experimental mudflow at this time. mean ; S4. Analyze the continuous motion image data of the experimental mudflow collected in S2 to obtain the angular velocity ω of the experimental mudflow plug , obtained by plug The velocity V of the experimental mudflow is calculated plug ; The angle θ between the center of gravity of the experimental mudflow and the vertical direction is measured based on the collected image data; S5. Substitute the experimental mudflow parameters in S3 and S4 into the kinematic flow formula of the experimental mudflow, and then perform least square fitting on the formula to finally obtain the property parameters of the experimental mudflow; The continuous motion image data of the experimental mudflow collected by S2 are analyzed to obtain the angular displacement α of the experimental mudflow within the average time interval Δt. The angular velocity calculation formula is: By formula: V plug =ω plug r; Where r is the radius of the first cone (10); V plug is the movement speed of the experimental mudflow plunger layer; The height H of the actual experimental mudflow includes the shear layer height y0 and the plunger layer height H plug ; By analyzing the motion flow pattern of the experimental mud flow, the real-time velocity v of the experimental mud flow during the test is obtained. (y) : When H≥y≥y0, When y≤y0, Where, H≥y≥y0; y≤y0; y0 is the height of the shear layer; θ is the angle between the line connecting the center of gravity of the experimental mudflow and the center of the transparent water tank (1) and the vertical direction; K is the experimental mudflow flow coefficient; n is the experimental mudflow flow index; τ y is the yield stress; H is the experimental mudflow height; V (y) is the real-time velocity of the experimental mudflow during the test; ρ is the density of the experimental mudflow; g is the gravitational acceleration; Processing formula (1) yields: The motion parameters of the experimental mud flow at different speeds are obtained by fitting the equation (2) with the least square method to obtain the flow property parameters K, n and τ of the experimental mud flow. y The relationship is as follows: In the formula, is the average velocity of the experimental mudflow obtained from the test; is the plunger flow velocity obtained from the experiment; H * is the experimental mudflow height obtained from the test; θ * is the angle between the center line of the actual experimental mud flow and the transparent water tank (1) and the vertical direction; V() represents the value measured in the experiment being substituted into formula (2).

2. The control method of a test device for simulating tailings mud flow according to claim 1, characterized in that: Assume that the movement of the experimental mud flow in the transparent water tank (1) belongs to the plunger flow and conforms to the HB model. The constitutive relation of the HB model is: Where η p is infinite viscosity; τ y is the yield stress; K is the experimental mud flow coefficient; is the shear rate; τ is the shear stress.

3. A test device for simulating tailings mud flow, using the control method of the test device as claimed in claim 1, characterized in that: The test device comprises a transparent water tank (1), a motor (2), a support frame (3), an image sensor (4), a laser generator (5) and a light guide (6); The transparent water tank (1) comprises a water tank body (7) and a cover plate (8); the cover plate (8) is connected to the water tank body (7) via a sealing ring to form a cavity (9) inside the water tank body (7); the cavity (9) is used to place experimental mudflow and tracer particles; The laser generator (5) is fixed on the support frame (3); the laser generator (5) irradiates the transparent water tank (1) through the light guide (6); the light guide (6) converts a laser beam generated by the laser generator (5) into multiple laser beams that irradiate the transparent water tank (1); the light guide (6) is fixed on the support frame (3); The image sensor (4) is fixed on the support frame (3), and the image sensor (4) is located on one side of the transparent water tank (1). The image sensor (4) is used to collect real-time status data of the experimental mudflow and tracer particles in the transparent water tank (1); the real-time status data of the experimental mudflow and tracer particles are the experimental mudflow data in S1; The water tank body (7) comprises a first truncated cone (10) and a second truncated cone (11); the diameter of the first truncated cone (10) is smaller than that of the second truncated cone (11); the first truncated cone (10) is fixed on the top of the second truncated cone (11); the first truncated cone (10) is connected to the second truncated cone (11); the cover plate (8) is fixed at the connection between the two truncated cones via a sealing ring, so that a cavity (9) is formed inside the first truncated cone (10); a connecting hole is provided on the cover plate (8), and the connecting hole is connected to the movable end of the motor (2); and the image sensor (4) is a CCD camera.

Images