Method, device and equipment for quantitatively evaluating split efficiency of cyclone equipment and storage medium

Abstract

The application discloses a cyclone equipment shunt efficiency quantitative evaluation method, device, equipment and storage medium. The method comprises the following steps: acquiring the proportion of particle quality of each particle size section in sample quality of an inlet, in sample quality of an overflow outlet and in sample quality of a bottom outlet; determining a first differential particle size distribution shunt value sequence and a second differential particle size distribution shunt value sequence corresponding to each particle size section according to the proportion of particle quality of each particle size section in sample quality of the inlet, in sample quality of the overflow outlet and in sample quality of the bottom outlet; acquiring end point information of a target section; and determining a shunt efficiency according to the end point information of the target section, the first differential particle size distribution shunt value sequence and the second differential particle size distribution shunt value sequence corresponding to each particle size section, and the proportion of particle quality of each particle size section in sample quality of the overflow outlet and in sample quality of the bottom outlet. The embodiment of the application can accurately evaluate the shunt capacity and efficiency of the cyclone equipment.

Description

Technical Field

[0001] This invention relates to the field of cyclone equipment technology, and in particular to a method, apparatus, device and storage medium for quantitatively evaluating the diversion efficiency of cyclone equipment. Background Technology

[0002] Shield tunneling is widely used in tunnel construction due to its advantages such as convenient construction, low noise, and fast construction speed. During slurry shield tunneling, the soil is carried back using a low-density slurry, resulting in increased density, more solid phases, and a complex particle size distribution. The waste slurry returned from tunneling mudstone and siltstone contains a large number of particles smaller than 75 micrometers or 30 micrometers. These particles are difficult to screen and cannot be directly discharged; they are typically separated using hydrocyclones and then discharged after flocculation or sedimentation. Therefore, in slurry shield tunneling projects, the separation capacity and efficiency of the hydrocyclone equipment are extremely important for the treatment of the returned waste slurry, directly affecting the subsequent soil treatment capacity. A hydrocyclone is a common hydrocyclone device that uses the principle of centrifugal sedimentation for liquid-solid separation. When the liquid to be separated enters the hydrocyclone tangentially from its periphery under a certain pressure, it generates intense three-dimensional elliptical rotating shear turbulent motion. Under the same pressure, particles of different sizes experience different magnitudes of centrifugal force, centripetal buoyancy, and fluid drag, resulting in different centrifugal sedimentation effects. Most coarse particles are discharged through the underflow port of the hydrocyclone, while most fine particles are discharged through the overflow pipe, thus achieving the purpose of separation and classification.

[0003] Different particle sizes in different types of mud require different centripetal forces to rotate in a hydrocyclone. The hydrocyclone equipment provides the kinetic energy to maintain the swirling of the mud using air pressure. Theoretically, slurries containing smaller particles have a higher flow velocity, resulting in a larger radius of rotation, and therefore flow out through the upper overflow port. Slurries containing larger particles have a lower flow velocity, resulting in a smaller radius of rotation, and therefore flow out through the lower underflow port. Therefore, hydrocyclones typically have a target particle size for separation; particles larger than this size will flow out through the underflow port with the slurry, while particles smaller than this size will overflow through the overflow port. The inlet and overflow pipes of the hydrocyclone equipment are usually equipped with sampling ports, and samples can be taken from the underflow port for testing. Generally, the larger particle slurry flowing out of the underflow port has a higher recovery value than the smaller particle slurry overflowing from the overflow port. Therefore, the theoretically required particle size range at the underflow port is used as the separation target, which can be simply referred to as the target segment.

[0004] The separation capacity of a desliming hydrocyclone is typically characterized by the proportion of particles larger than the target section in the overflow; a lower value indicates a better separation effect. Alternatively, the proportion of particles within the target section in the underflow can also be used, with a higher value indicating a better separation effect. However, using either the overflow or underflow sieve residue or sieve pass rate is rather one-sided and cannot accurately reflect the solid-liquid separation situation. This is because the interaction between the difference in the solid-liquid ratio between the overflow and underflow and the separation effect in the target section is complex, making it impossible to judge the solid-liquid separation efficiency based solely on particle size separation efficiency. Therefore, a simple calculation method is urgently needed for the hydrocyclone equipment commonly used in waste slurry treatment to comprehensively evaluate the solid-liquid separation efficiency and the separation efficiency of particles in both the target and non-target sections. Summary of the Invention

[0005] This invention provides a method, apparatus, device, and storage medium for quantitatively evaluating the flow splitting efficiency of a cyclone device, in order to comprehensively evaluate the flow splitting capacity and efficiency of the cyclone device.

[0006] According to one aspect of the present invention, a method for quantitatively evaluating the flow splitting efficiency of a cyclone device is provided, the method comprising:

[0007] Obtain the proportion of particle mass in each particle size range to the mass of the inlet sample, the proportion of particle mass in each particle size range to the mass of the overflow sample, and the proportion of particle mass in each particle size range to the mass of the underflow sample.

[0008] The first differential particle size distribution split value sequence and the second differential particle size distribution split value sequence for each particle size segment are determined based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0009] Obtain endpoint information of the target segment, wherein the target segment includes at least one particle size segment;

[0010] The diversion efficiency is determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0011] According to another aspect of the present invention, a device for quantitatively evaluating the splitting efficiency of a cyclone device is provided, the device comprising:

[0012] The first acquisition module is used to acquire the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0013] The first determining module is used to determine the first differential particle size distribution diversion value sequence and the second differential particle size distribution diversion value sequence corresponding to each particle size segment based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0014] The second acquisition module is used to acquire endpoint information of the target segment, wherein the target segment includes at least one particle size segment;

[0015] The second determining module is used to determine the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the quantitative evaluation method for the diversion efficiency of a vortex device according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the quantitative evaluation method for the diversion efficiency of a vortex device as described in any embodiment of the present invention.

[0019] The technical solution of this invention obtains the proportion of particle mass in each particle size segment relative to the inlet sample mass, the proportion of particle mass in each particle size segment relative to the overflow sample mass, and the proportion of particle mass in each particle size segment relative to the underflow sample mass. Based on these proportions, it determines the first differential particle size distribution diversion value sequence and the second differential particle size distribution diversion value sequence corresponding to each particle size segment. It then obtains the endpoint information of the target segment and determines the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass in each particle size segment relative to the overflow sample mass, and the proportion of particle mass in each particle size segment relative to the underflow sample mass. The embodiments of the present invention can evaluate the solid-liquid separation situation more accurately, and can comprehensively evaluate the solid-liquid separation efficiency and the separation efficiency of the target segment and non-target segment of the particle.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a method for quantitatively evaluating the flow splitting efficiency of a cyclone device according to Embodiment 1 of the present invention;

[0023] Figure 2 This is a schematic diagram of the structure of a quantitative evaluation device for the diversion efficiency of a cyclone device according to Embodiment 2 of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the quantitative evaluation method for the diversion efficiency of a vortex device according to embodiments of the present invention. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first," "target," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] Example 1

[0028] Figure 1 This is a flowchart of a method for quantitatively evaluating the splitting efficiency of a cyclone device according to Embodiment 1 of the present invention. This embodiment is applicable to the quantitative evaluation of the splitting efficiency of cyclone devices. This method can be executed by a device for quantitatively evaluating the splitting efficiency of a cyclone device. This device can be implemented in hardware and / or software, and can be integrated into any electronic device that provides the function of quantitatively evaluating the splitting efficiency of a cyclone device. Figure 1 As shown, the method includes:

[0029] S101. Obtain the proportion of particle mass in each particle size range to the mass of the inlet sample, the proportion of particle mass in each particle size range to the mass of the overflow sample, and the proportion of particle mass in each particle size range to the mass of the underflow sample.

[0030] It should be noted that particle size ranges can be defined based on the diameter of the particles in the slurry. For example, a particle size range could be defined as 5 nanometers to 10 nanometers, or as 10 nanometers to 15 nanometers, and so on. Specifically, the particle size range can be determined based on the parameters of the laser particle size analyzer; for example, higher parameters result in finer particle size ranges.

[0031] Among them, particle mass refers to the mass of particles of different sizes in the mud.

[0032] In this embodiment, the inlet pipe and overflow pipe of the hydrocyclone are typically equipped with sampling ports, and samples can be taken from the underflow port for testing. The inlet sample can be the slurry to be separated into fluid and solid components entering the hydrocyclone from the inlet port, the overflow sample can be a mixture of smaller particles and water discharged from the overflow port of the hydrocyclone, and the underflow sample can be a mixture of larger particles and water discharged from the underflow port of the hydrocyclone.

[0033] Specifically, mud samples are taken from the inlet, overflow, and underflow outlet of the hydrocyclone equipment, preferably at least 10 ml per sample. The three samples are then subjected to laser particle size analysis using a laser particle size analyzer. Laser particle size analysis is rapid, taking approximately 30–60 seconds per sample, and can obtain the proportion of particle mass in each size range relative to the inlet sample, the proportion of particle mass in each size range relative to the overflow sample, and the proportion of particle mass in each size range relative to the underflow sample.

[0034] S102. Determine the first differential particle size distribution split value sequence and the second differential particle size distribution split value sequence for each particle size segment based on the proportion of particle mass in the inlet sample mass, the proportion of particle mass in the overflow sample mass, and the proportion of particle mass in the underflow sample mass for each particle size segment.

[0035] In this embodiment, the first differential particle size distribution diversion value sequence includes each particle size segment and the overflow diversion value for each particle size segment. For example, the first differential particle size distribution diversion value sequence can be represented as (R... Aj i j ), j = 1, 2, ..., m, where R A The overflow port diversion value represents the particle size segment, where i represents the particle size segment, j represents the j-th particle size segment, and the specific m can be determined based on the parameters of the laser particle size analyzer. The overflow port diversion value can be calculated based on the lever principle of the mixing system, using the proportion of particle mass in each particle size segment to the inlet sample mass, the proportion of particle mass in each particle size segment to the overflow sample mass, and the proportion of particle mass in each particle size segment to the underflow sample mass.

[0036] In this embodiment, the second differential particle size distribution split value sequence includes the underflow split value for each particle size segment and the underflow split value for each particle size segment. For example, the second differential particle size distribution split value sequence can be represented as (R... Bj i j ), j = 1, 2, ..., m, where R BThe underflow split value represents the particle size segment, i represents the particle size range, j represents the j-th particle size segment, and the specific m can be determined according to the parameters of the laser particle size analyzer. The underflow split value can be calculated based on the lever principle of the mixing system, using the proportion of particle mass in each particle size segment to the inlet sample mass, the proportion of particle mass in each particle size segment to the overflow sample mass, and the proportion of particle mass in each particle size segment to the underflow sample mass.

[0037] Specifically, based on the lever principle of the mixed system, the overflow port diversion value and the underflow port diversion value corresponding to each particle size segment are determined according to the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow port sample, and the proportion of particle mass of each particle size segment to the mass of the underflow port sample. Each particle size segment and the overflow port diversion value corresponding to each particle size segment are determined as the first differential particle size distribution diversion value sequence (i.e., the overflow port differential particle size distribution diversion value sequence), and each particle size segment and the underflow port diversion value corresponding to each particle size segment are determined as the second differential particle size distribution diversion value sequence (i.e., the underflow port differential particle size distribution diversion value sequence).

[0038] S103. Obtain the endpoint information of the target segment.

[0039] In practice, the target segment can be a target particle size range set by the user according to actual needs. Preferably, the target segment can be the particle size range required for the underflow. The target segment includes at least one particle size range. For example, the user can set several consecutive adjacent particle size ranges as the target segment according to actual needs.

[0040] For example, the endpoint information can be the particle size information of the particle size segments at both ends of the target end.

[0041] Specifically, users can define several consecutive adjacent particle size segments as target segments based on their actual needs, and then obtain the particle size information of the two endpoints of the target segment. For example, based on the parameters of the laser particle size analyzer, a particle size segment can be defined as having a diameter less than 5 nanometers, a particle size segment with a diameter between 5 and 10 nanometers, a particle size segment with a diameter between 10 and 15 nanometers, and so on. If a user sets the target particle size segment as having a diameter between 20 and 50 nanometers, then the endpoint information of the target segment will be obtained as: a particle size segment with a diameter between 20 and 25 nanometers and a particle size segment with a diameter between 45 and 50 nanometers.

[0042] S104. Determine the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0043] Among them, the separation efficiency can refer to the ability and efficiency of the cyclone equipment to separate solids and liquids.

[0044] Specifically, the diversion ratio of the target segment and the diversion ratio of each particle size segment are determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass. Then, the diversion ratio of the entire segment (i.e., all particle size segments) is determined based on the diversion ratio of each particle size segment. Finally, the diversion efficiency is determined based on the diversion ratio of the target segment and the diversion ratio of the entire segment.

[0045] The technical solution of this invention obtains the proportion of particle mass in each particle size segment relative to the inlet sample mass, the proportion of particle mass in each particle size segment relative to the overflow sample mass, and the proportion of particle mass in each particle size segment relative to the underflow sample mass. Based on these proportions, it determines the first differential particle size distribution diversion value sequence and the second differential particle size distribution diversion value sequence corresponding to each particle size segment. It then obtains the endpoint information of the target segment and determines the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass in each particle size segment relative to the overflow sample mass, and the proportion of particle mass in each particle size segment relative to the underflow sample mass. The embodiments of the present invention can evaluate the solid-liquid separation situation more accurately, and can comprehensively evaluate the solid-liquid separation efficiency and the separation efficiency of the target segment and non-target segment of the particle.

[0046] Optionally, the diversion efficiency is determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass in each particle size segment to the overflow port sample mass, and the proportion of particle mass in each particle size segment to the underflow port sample mass, including:

[0047] The split ratio of the target segment and the split ratio of each particle size segment are determined based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0048] The target segment split ratio refers to the ratio of solid-liquid separation performed by the hydrocyclone on particles in the target segment. The split ratio for each particle size segment refers to the ratio of solid-liquid separation performed by the hydrocyclone on particles in each particle size segment.

[0049] Specifically, the ratio of the underflow split value of each particle size segment within the target segment to the weighted sum of the proportion of particle mass of each particle size segment to the underflow sample mass within the target segment, and the ratio of the overflow split value of each particle size segment within the target segment to the weighted sum of the proportion of particle mass of each particle size segment to the overflow sample mass within the target segment, is determined as the split ratio of the target segment. Similarly, the ratio of the underflow split value of each particle size segment to the weighted sum of the proportion of particle mass of each particle size segment to the underflow sample mass within the target segment, and the ratio of the overflow split value of each particle size segment to the weighted sum of the proportion of particle mass of each particle size segment to the overflow sample mass within the target segment, is determined as the split ratio of each particle size segment.

[0050] The splitting efficiency is determined based on the splitting ratio of the target segment and the splitting ratio of each particle size segment.

[0051] Specifically, the split ratio of the entire segment is determined based on the split ratio of each particle size segment, and then the split efficiency is determined based on the split ratio of the target segment and the split ratio of the entire segment. For example, the weighted sum of the split ratios of each particle size segment can be used to determine the split ratio of the entire segment.

[0052] For example, the splitting efficiency can be expressed as Where f represents the splitting efficiency, η[i1,i2] represents the splitting ratio of the target segment, i1 represents the smaller particle size segment at the end of the target segment, i2 represents the larger particle size segment at the end of the target segment, and H represents the splitting ratio of the entire segment.

[0053] In actual operation, a diversion efficiency f greater than 100% is considered to be effective separation of the target segment, and a diversion ratio η[i1,i2] of the target segment greater than the preset calibration value is considered to be satisfactory separation of the target segment.

[0054] Optionally, the proportion of particle mass in each particle size range to the inlet sample mass, the proportion of particle mass in each particle size range to the overflow sample mass, and the proportion of particle mass in each particle size range to the underflow sample mass are obtained, including:

[0055] Obtain the first differential particle size distribution sequence corresponding to the inlet sample, the second differential particle size distribution sequence corresponding to the overflow sample, and the third differential particle size distribution sequence corresponding to the underflow sample.

[0056] The first differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the inlet sample; the second differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the overflow sample; and the third differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the underflow sample.

[0057] Specifically, samples from the inlet, overflow, and underflow outlet were subjected to laser particle size analysis using a laser particle size analyzer to obtain the proportion ω of the particle mass of each particle size range relative to the mass of the inlet sample (theoretically ∫ω·di=1) and the proportion ω of the particle mass of each particle size range relative to the mass of the overflow sample. A And the proportion of particle mass in each particle size range to the bottom outlet sample mass ω B The first differential particle size distribution sequence is defined by identifying at least one particle size range and the proportion of particle mass in each particle size range to the mass of the inlet sample. This first differential particle size distribution sequence can be expressed as (ω... j i j ), j=1,2,...,m, where ω represents the proportion of particle mass in particle size segment i to the mass of the inlet sample, i represents the particle size segment, j represents the j-th particle size segment, and m can be determined according to the parameters of the laser particle size analyzer. The proportion of particle mass in at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the overflow sample is defined as the second differential particle size distribution sequence, which can be expressed as (R Aj i j ), j = 1, 2, ..., m, where ω A The mass of particles in size segment i represents the proportion of the overflow sample mass, where i represents the particle size segment, j represents the j-th particle size segment, and the specific m can be determined based on the parameters of the laser particle size analyzer. The proportion of at least one particle size segment and the proportion of the particle mass of each particle size segment to the bottom flow sample mass is defined as the third differential particle size distribution sequence, which can be expressed as (ω... Bj i j ), j=1,2,...m, where, ω B This represents the proportion of particle mass in particle size segment i to the mass of the bottom flow sample, where i represents the particle size segment, j represents the j-th particle size segment, and the specific m can be determined based on the parameters of the laser particle size analyzer.

[0058] Optionally, the sequence of first differential particle size distribution values ​​for each particle size segment is determined based on the proportion of particle mass in the inlet sample mass, the proportion of particle mass in the overflow sample mass, and the proportion of particle mass in the underflow sample mass for each particle size segment, including:

[0059] The ratio of the first difference corresponding to each particle size segment to the second difference corresponding to each particle size segment is determined as the first diversion value corresponding to each particle size segment.

[0060] The first difference for each particle size segment is the difference between the proportion of particle mass in the inlet sample and the proportion of particle mass in the underflow sample for each particle size segment. The second difference for each particle size segment is the difference between the proportion of particle mass in the overflow sample and the proportion of particle mass in the underflow sample for each particle size segment.

[0061] It should be noted that the first diversion value refers to the overflow diversion value calculated based on the lever principle of the mixed system.

[0062] Specifically, the first diversion value can be expressed as Among them, R A This represents the first split value, where ω represents the proportion of particle mass in each size range to the mass of the inlet sample. B ω represents the proportion of particle mass in each particle size range to the total mass of the bottom flow sample. A This represents the proportion of particle mass in each particle size range to the total mass of the overflow sample, where j represents the j-th particle size range, and the specific m can be determined based on the parameters of the laser particle size analyzer.

[0063] Generate a sequence of first differential particle size distribution shunt values ​​for each particle size segment based on the first shunt value corresponding to each particle size segment.

[0064] Specifically, each particle size segment and its corresponding first shunting value are defined as a sequence of first differential particle size distribution shunting values ​​for each particle size segment. For example, the sequence of first differential particle size distribution shunting values ​​can be represented as (R... Aj i j ), j=1,2,...,m, where R A The overflow port diversion value is represented by , i represents the particle size segment, j represents the j-th particle size segment, and the specific m can be determined according to the parameters of the laser particle size analyzer.

[0065] Optionally, the second differential particle size distribution split value sequence corresponding to each particle size segment is determined based on the proportion of particle mass in the inlet sample mass, the proportion of particle mass in the overflow sample mass, and the proportion of particle mass in the underflow sample mass of each particle size segment, including:

[0066] The ratio of the third difference corresponding to each particle size segment to the second difference corresponding to each particle size segment is determined as the second diversion value corresponding to each particle size segment.

[0067] The third difference for each particle size segment is the difference between the proportion of particle mass in each particle size segment to the overflow port sample mass and the proportion of particle mass in each particle size segment to the inlet sample mass. The second difference for each particle size segment is the difference between the proportion of particle mass in each particle size segment to the overflow port sample mass and the proportion of particle mass in each particle size segment to the underflow port sample mass.

[0068] It should be noted that the second diversion value refers to the bottom outlet diversion value calculated based on the lever principle of the mixed system.

[0069] Specifically, the second diversion value can be expressed as Among them, R B This represents the second split value, where ω represents the proportion of particle mass in each particle size range to the mass of the inlet sample. A ω represents the proportion of particle mass in each particle size range to the total mass of the overflow sample. B This represents the proportion of particle mass in each particle size range to the mass of the bottom flow sample, where j represents the j-th particle size range, and the specific m can be determined based on the parameters of the laser particle size analyzer.

[0070] Generate a sequence of second differential particle size distribution shunt values ​​for each particle size segment based on the second shunt value corresponding to each particle size segment.

[0071] Specifically, each particle size segment and its corresponding second shunting value are defined as a sequence of second differential particle size distribution shunting values ​​for each particle size segment. For example, the sequence of second differential particle size distribution shunting values ​​can be represented as (R... Bj i j ), j=1,2,...,m, where R B The value of the underflow outlet is represented by , i represents the particle size segment, j represents the j-th particle size segment, and the specific m can be determined according to the parameters of the laser particle size analyzer.

[0072] Obviously, for laser particle size analysis, R... Aj +R Bj =100%, j=1,2,...,m, where j represents the j-th particle size segment, and the specific m can be determined according to the parameters of the laser particle size analyzer. That is, the sum of the overflow port diversion value and the underflow port diversion value is 100%, which conforms to the lever principle of the mixed system.

[0073] Optionally, the split ratio of the target segment is determined based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass, including:

[0074] The split ratio of the target segment is determined based on the following formula:

[0075]

[0076] Where η[i1,i2] represents the split ratio of the target segment, i1 represents the particle size segment at the first end of the target segment, i2 represents the particle size segment at the second end of the target segment, and the particle size segment at the second end is greater than or equal to the particle size segment at the first end, R Bj ω represents the second split value corresponding to each particle size range. Bj R represents the proportion of particle mass in each particle size range to the total mass of the underflow sample. Aj ω represents the first split value corresponding to each particle size range. Aj This represents the proportion of particle mass in each particle size range to the total mass of the overflow sample, where j represents the particle size range in the target range, and j = i1,..., i2.

[0077] It should be noted that the first endpoint of the target segment refers to the endpoint with the smaller particle size in the target segment, and the second endpoint of the target segment refers to the endpoint with the larger particle size in the target segment.

[0078] Specifically, the split ratio of the target segment is determined by the ratio of the weighted sum of the underflow split value of each particle size segment within the target segment to the proportion of the particle mass of each particle size segment within the target segment to the mass of the underflow sample, and the ratio of the weighted sum of the overflow split value of each particle size segment within the target segment to the proportion of the particle mass of each particle size segment within the target segment to the mass of the overflow sample. In actual operation, the split ratio of the target segment is greater than 1.

[0079] Optionally, the split ratio of each particle size segment is determined based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass, including:

[0080] The ratio of the first value corresponding to each particle size segment to the second value corresponding to each particle size segment is determined as the split ratio of each particle size segment.

[0081] The first value for each particle size segment is the product of the second differential particle size distribution split value sequence for each particle size segment and the proportion of particle mass in each particle size segment to the mass of the bottom outlet sample. The second value for each particle size segment is the product of the first differential particle size distribution split value sequence for each particle size segment and the proportion of particle mass in each particle size segment to the mass of the overflow outlet sample.

[0082] Specifically, the weighted sum of the split ratios for each particle size segment can be used to determine the overall split ratio for the entire segment. For example, the overall split ratio can be determined based on the following formula:

[0083]

[0084] Where H represents the split ratio of the entire segment, i min Represents the minimum particle size segment of the entire segment, i max R represents the maximum particle size segment of the entire segment, where the maximum particle size segment is greater than or equal to the minimum particle size segment of the entire segment. Bj ω represents the second split value corresponding to each particle size range. Bj R represents the proportion of particle mass in each particle size range to the total mass of the underflow sample. Aj ω represents the first split value corresponding to each particle size range. Aj This represents the proportion of particle mass in each particle size range to the total overflow sample mass, where j represents all particle size ranges, and j = i min ,...,i max In actual operation, the diversion ratio of the target segment is greater than 1.

[0085] Preferably, the diversion capacity and efficiency of the vortex equipment can be comprehensively evaluated based on the diversion efficiency and the target end diversion ratio. Furthermore, a diversion diagram can be drawn based on the second diversion value (i.e., the diversion value at the bottom outlet). The diversion diagram has a high degree of visualization and the diversion effect is expressed intuitively, making it easier and more convenient to evaluate the diversion effect.

[0086] The quantitative evaluation method for the splitting efficiency of cyclone equipment proposed in this invention requires significantly smaller sample sizes from the inlet, overflow, and underflow outlets compared to commonly used methods such as gravity analysis and viscosity testing. This method is convenient for sampling and employs a simple algorithm, avoiding data processing steps that would otherwise result in loss of valuable information, such as differentiation, smoothing, and integration, except for the laser particle size analysis step. Furthermore, the calculation basis of this method conforms to the lever principle of multi-component systems, thus making it applicable to the evaluation of multi-component splitting equipment systems.

[0087] Example 2

[0088] Figure 2 This is a schematic diagram of a device for quantitatively evaluating the diversion efficiency of a cyclone device according to Embodiment 2 of the present invention. Figure 2 As shown, the device includes: a first acquisition module 201, a first determination module 202, a second acquisition module 203, and a second determination module 204.

[0089] The first acquisition module 201 is used to acquire the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0090] The first determining module 202 is used to determine the first differential particle size distribution diversion value sequence and the second differential particle size distribution diversion value sequence corresponding to each particle size segment based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0091] The second acquisition module 203 is used to acquire endpoint information of the target segment, wherein the target segment includes at least one particle size segment;

[0092] The second determining module 204 is used to determine the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0093] Optionally, the second determining module 204 includes:

[0094] The first determining unit is used to determine the split ratio of the target segment and the split ratio of each particle size segment based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0095] The second determining unit is used to determine the splitting efficiency based on the splitting ratio of the target segment and the splitting ratio of each particle size segment.

[0096] Optionally, the first acquisition module 201 includes:

[0097] The acquisition unit is used to acquire a first differential particle size distribution sequence corresponding to the inlet sample, a second differential particle size distribution sequence corresponding to the overflow sample, and a third differential particle size distribution sequence corresponding to the underflow sample. The first differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the inlet sample. The second differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the overflow sample. The third differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass in each particle size segment to the mass of the underflow sample.

[0098] Optionally, the first determining module 202 includes:

[0099] The third determining unit is used to determine the ratio of the first difference corresponding to each particle size segment and the second difference corresponding to each particle size segment to determine the first diversion value corresponding to each particle size segment, wherein the first difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the inlet sample and the proportion of the particle mass of each particle size segment to the mass of the underflow sample, and the second difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the overflow sample and the proportion of the particle mass of each particle size segment to the mass of the underflow sample.

[0100] The first generation unit is used to generate a sequence of first differential particle size distribution shunting values ​​for each particle size segment based on the first shunting value corresponding to each particle size segment.

[0101] Optionally, the first determining module 202 includes:

[0102] The fourth determining unit is used to determine the ratio of the third difference corresponding to each particle size segment and the second difference corresponding to each particle size segment to determine the second diversion value corresponding to each particle size segment, wherein the third difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the overflow port sample and the proportion of the particle mass of each particle size segment to the mass of the slurry inlet sample.

[0103] The second generation unit is used to generate a sequence of second differential particle size distribution shunting values ​​for each particle size segment based on the second shunting value corresponding to each particle size segment.

[0104] Optionally, the first determining unit is mainly used for:

[0105] The split ratio of the target segment is determined based on the following formula:

[0106]

[0107] Where η[i1,i2] represents the split ratio of the target segment, i1 represents the particle size segment at the first end of the target segment, i2 represents the particle size segment at the second end of the target segment, and the particle size segment at the second end is greater than or equal to the particle size segment at the first end, R Bj ω represents the second split value corresponding to each particle size range. Bj R represents the proportion of particle mass in each particle size range to the total mass of the underflow sample. Aj ω represents the first split value corresponding to each particle size range. Aj This represents the proportion of particle mass in each particle size range to the total mass of the overflow port sample, where j represents the particle size range in the target segment, and j = i1, ..., i2.

[0108] Optionally, the first determining unit is mainly used for:

[0109] The ratio of the first value corresponding to each particle size segment to the second value corresponding to each particle size segment is determined as the split ratio of each particle size segment. The first value corresponding to each particle size segment is the product of the second differential particle size distribution split value sequence corresponding to each particle size segment and the proportion of the particle mass of each particle size segment to the mass of the bottom outlet sample. The second value corresponding to each particle size segment is the product of the first differential particle size distribution split value sequence corresponding to each particle size segment and the proportion of the particle mass of each particle size segment to the mass of the overflow outlet sample.

[0110] The quantitative evaluation device for the splitting efficiency of a cyclone device provided in this embodiment of the invention can execute the quantitative evaluation method for the splitting efficiency of a cyclone device provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0111] Example 3

[0112] Figure 3 A schematic diagram of an electronic device 30 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0113] like Figure 3 As shown, the electronic device 30 includes at least one processor 31 and a memory, such as a read-only memory (ROM) 32 or a random access memory (RAM) 33, communicatively connected to the at least one processor 31. The memory stores computer programs executable by the at least one processor. The processor 31 can perform various appropriate actions and processes based on the computer program stored in the ROM 32 or loaded from storage unit 38 into the RAM 33. The RAM 33 can also store various programs and data required for the operation of the electronic device 30. The processor 31, ROM 32, and RAM 33 are interconnected via a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0114] Multiple components in electronic device 30 are connected to I / O interface 35, including: input unit 36, such as keyboard, mouse, etc.; output unit 37, such as various types of monitors, speakers, etc.; storage unit 38, such as disk, optical disk, etc.; and communication unit 39, such as network card, modem, wireless transceiver, etc. Communication unit 39 allows electronic device 30 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0115] Processor 31 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 31 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 31 performs the various methods and processes described above, such as the quantitative evaluation method for the shunting efficiency of cyclone devices.

[0116] Obtain the proportion of particle mass in each particle size range to the mass of the inlet sample, the proportion of particle mass in each particle size range to the mass of the overflow sample, and the proportion of particle mass in each particle size range to the mass of the underflow sample.

[0117] The first differential particle size distribution split value sequence and the second differential particle size distribution split value sequence for each particle size segment are determined based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

[0118] Obtain endpoint information of the target segment, wherein the target segment includes at least one particle size segment;

[0119] The diversion efficiency is determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass.

[0120] In some embodiments, the method for quantitatively evaluating the swirl device splitting efficiency can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 38. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 30 via ROM 32 and / or communication unit 39. When the computer program is loaded into RAM 33 and executed by processor 31, one or more steps of the method for quantitatively evaluating the swirl device splitting efficiency described above can be performed. Alternatively, in other embodiments, processor 31 can be configured to perform the method for quantitatively evaluating the swirl device splitting efficiency by any other suitable means (e.g., by means of firmware).

[0121] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0122] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0123] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0124] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0125] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0126] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0127] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and no limitation is imposed herein.

[0128] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for quantitatively evaluating the flow splitting efficiency of a cyclone device, characterized in that, include: Obtain the proportion of particle mass in each particle size range to the mass of the inlet sample, the proportion of particle mass in each particle size range to the mass of the overflow sample, and the proportion of particle mass in each particle size range to the mass of the underflow sample. The first differential particle size distribution split value sequence and the second differential particle size distribution split value sequence for each particle size segment are determined based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample. Obtain endpoint information of the target segment, wherein the target segment includes at least one particle size segment; The diversion efficiency is determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass. The diversion efficiency is determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass, including: The diversion ratio of the target segment and the diversion ratio of each particle size segment are determined based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass. The flow splitting efficiency is determined based on the flow splitting ratio of the target segment and the flow splitting ratio of each particle size segment; Specifically, the sequence of first differential particle size distribution distribution values ​​for each particle size segment is determined based on the proportion of particle mass in the inlet sample mass, the proportion of particle mass in the overflow sample mass, and the proportion of particle mass in the underflow sample mass, including: The ratio of the first difference corresponding to each particle size segment and the second difference corresponding to each particle size segment is determined as the first diversion value corresponding to each particle size segment. The first difference corresponding to each particle size segment is the difference between the proportion of particle mass of each particle size segment to the mass of the inlet sample and the proportion of particle mass of each particle size segment to the mass of the underflow sample. The second difference corresponding to each particle size segment is the difference between the proportion of particle mass of each particle size segment to the mass of the overflow sample and the proportion of particle mass of each particle size segment to the mass of the underflow sample. Generate a sequence of first differential particle size distribution shunting values ​​for each particle size segment based on the first shunting value corresponding to each particle size segment. Specifically, the second differential particle size distribution split value sequence corresponding to each particle size segment is determined based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample, including: The ratio of the third difference corresponding to each particle size segment to the second difference corresponding to each particle size segment is determined as the second diversion value corresponding to each particle size segment. The third difference corresponding to each particle size segment is the difference between the proportion of particle mass of each particle size segment to the overflow port sample mass and the proportion of particle mass of each particle size segment to the inlet sample mass. Generate a sequence of second differential particle size distribution shunting values ​​for each particle size segment based on the second shunting value corresponding to each particle size segment.

2. The method according to claim 1, characterized in that, Obtain the proportion of particle mass in each particle size range relative to the inlet sample mass, the proportion of particle mass in each particle size range relative to the overflow sample mass, and the proportion of particle mass in each particle size range relative to the underflow sample mass, including: Obtain the first differential particle size distribution sequence corresponding to the inlet sample, the second differential particle size distribution sequence corresponding to the overflow sample, and the third differential particle size distribution sequence corresponding to the underflow sample. The first differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass of each particle size segment to the mass of the inlet sample. The second differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass of each particle size segment to the mass of the overflow sample. The third differential particle size distribution sequence includes at least one particle size segment and the proportion of particle mass of each particle size segment to the mass of the underflow sample.

3. The method according to claim 1, characterized in that, The split ratio of the target segment is determined based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass, including: The split ratio of the target segment is determined based on the following formula: ； in, Indicates the split ratio of the target segment. The particle size segment representing the first endpoint of the target segment. This refers to the particle size segment at the second endpoint of the target segment, where the particle size segment at the second endpoint is greater than or equal to the particle size segment at the first endpoint. This represents the second split value corresponding to each particle size range. This indicates the proportion of particle mass in each particle size range to the total mass of the underflow sample. This represents the first split value corresponding to each particle size range. This indicates the proportion of particle mass in each particle size range to the total mass of the overflow sample. This represents the particle size range within the target segment, where .

4. The method according to claim 1, characterized in that, The split ratio of each particle size segment is determined based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass, including: The ratio of the first value corresponding to each particle size segment to the second value corresponding to each particle size segment is determined as the split ratio of each particle size segment. The first value corresponding to each particle size segment is the product of the second differential particle size distribution split value sequence corresponding to each particle size segment and the proportion of the particle mass of each particle size segment to the mass of the bottom outlet sample. The second value corresponding to each particle size segment is the product of the first differential particle size distribution split value sequence corresponding to each particle size segment and the proportion of the particle mass of each particle size segment to the mass of the overflow outlet sample.

5. A device for quantitatively evaluating the diversion efficiency of a cyclone device, characterized in that, include: The first acquisition module is used to acquire the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample. The first determining module is used to determine the first differential particle size distribution diversion value sequence and the second differential particle size distribution diversion value sequence corresponding to each particle size segment based on the proportion of particle mass of each particle size segment to the mass of the inlet sample, the proportion of particle mass of each particle size segment to the mass of the overflow sample, and the proportion of particle mass of each particle size segment to the mass of the underflow sample. The second acquisition module is used to acquire endpoint information of the target segment, wherein the target segment includes at least one particle size segment; The second determining module is used to determine the diversion efficiency based on the endpoint information of the target segment, the first differential particle size distribution diversion value sequence corresponding to each particle size segment, the second differential particle size distribution diversion value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass. The second determining module includes: The first determining unit is used to determine the split ratio of the target segment and the split ratio of each particle size segment based on the endpoint information of the target segment, the first differential particle size distribution split value sequence corresponding to each particle size segment, the second differential particle size distribution split value sequence corresponding to each particle size segment, the proportion of particle mass of each particle size segment to the overflow port sample mass, and the proportion of particle mass of each particle size segment to the underflow port sample mass. The second determining unit is used to determine the splitting efficiency based on the splitting ratio of the target segment and the splitting ratio of each particle size segment; The first determining module includes: The third determining unit is used to determine the ratio of the first difference corresponding to each particle size segment and the second difference corresponding to each particle size segment to determine the first diversion value corresponding to each particle size segment, wherein the first difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the inlet sample and the proportion of the particle mass of each particle size segment to the mass of the underflow sample, and the second difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the overflow sample and the proportion of the particle mass of each particle size segment to the mass of the underflow sample. The first generation unit is used to generate a sequence of first differential particle size distribution shunting values ​​for each particle size segment based on the first shunting value corresponding to each particle size segment. The first determining module includes: The fourth determining unit is used to determine the ratio of the third difference corresponding to each particle size segment and the second difference corresponding to each particle size segment to determine the second diversion value corresponding to each particle size segment, wherein the third difference corresponding to each particle size segment is the difference between the proportion of the particle mass of each particle size segment to the mass of the overflow port sample and the proportion of the particle mass of each particle size segment to the mass of the slurry inlet sample. The second generation unit is used to generate a sequence of second differential particle size distribution shunting values ​​for each particle size segment based on the second shunting value corresponding to each particle size segment.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the quantitative evaluation method for the diversion efficiency of the cyclone device according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the quantitative evaluation method for the diversion efficiency of a vortex device as described in any one of claims 1-4.

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