A graphite impurity separation effect evaluation management system and method

Abstract

The present application relates to the technical field of graphite purification, and in particular to a graphite impurity separation effect evaluation management system and method, the steps of which include: collecting contact surface images of graphite ore and impurity ore, collecting graphite slurry information after flotation process, collecting graphite content information and impurity content information; obtaining the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image; calculating the mud coefficient of graphite slurry according to graphite slurry information; calculating the recovery coefficient of graphite according to graphite content information and impurity content information; obtaining the graphite impurity separation effect index according to the symbiosis coefficient, mud coefficient and recovery coefficient, and ending the flotation process when the graphite impurity separation effect index is greater than a preset impurity separation threshold. The present application improves the accuracy and reliability of the evaluation of graphite impurity separation effect by quantifying the degree of symbiosis between graphite ore and impurity ore and the degree of graphite mud in the flotation process.

Description

Technical Field

[0001] The present application relates to the technical field of graphite purification, and in particular to a management system and method for evaluating the separation effect of graphite impurities. Background Art

[0002] As a strategic scarce resource, graphite has been used in lithium-ion battery negative electrode materials for new energy vehicles, nuclear industry, aerospace and other fields. These fields require the fixed carbon content of graphite to be above 99%. Therefore, the preparation of high-purity graphite is the premise and basis for the application of graphite.

[0003] Flotation process is one of the key steps in graphite purification. Graphite can be separated from other impurity minerals through flotation. Graphite ore in nature is closely associated with muscovite, quartz, etc. It is necessary to destroy the closely associated graphite minerals and impurity minerals so that they can each form a single mineral particle, thereby improving the flotation efficiency. At the same time, there is a phenomenon of graphite mud in the graphite flotation process. Because the graphite particles are ground too small, the hydrophobicity of the graphite is reduced, making it difficult to separate from the impurities during the flotation process, which ultimately affects the purification effect and flotation efficiency of the graphite.

[0004] The existing management method for evaluating the effect of graphite impurity separation ignores the influence of graphite symbiosis and mudification on graphite impurity separation, resulting in low accuracy in the evaluation of graphite impurity separation effect. At the same time, in the process of graphite impurity separation, the removal process of impurities is also accompanied by the loss of graphite. How to balance the relationship between impurity removal rate and graphite loss rate, that is, to reduce graphite loss while ensuring graphite purity, is also a key issue that needs to be solved in the graphite purification process. Summary of the invention

[0005] In order to overcome the defects and shortcomings of the prior art, the present application provides a graphite impurity separation effect evaluation management system and method, which improves the accuracy and reliability of graphite impurity separation effect evaluation by quantifying the degree of symbiosis between graphite ore and impurity ore and the degree of graphite mudification.

[0006] In order to achieve the above objectives, this application adopts the following technical solutions:

[0007] The present application provides a graphite impurity separation effect evaluation management method, comprising the following steps:

[0008] Collect the contact surface image of graphite ore and impurity ore, collect the information of graphite slurry after flotation process, and collect the information of graphite content and impurity content;

[0009] Obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image;

[0010] Calculate the sludge coefficient of graphite slurry based on graphite slurry information;

[0011] Calculate the recovery factor of graphite based on the graphite content information and the impurity content information;

[0012] The graphite impurity separation effect index is obtained according to the symbiosis coefficient, the mudification coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated.

[0013] As a preferred technical solution, the specific steps of obtaining the symbiosis coefficient include:

[0014] Acquire a contact surface image, and convert the contact surface image into a contact surface grayscale image;

[0015] The grayscale image of the contact surface is covered by cells with a side length of S, and the number of covered cells is calculated by the formula for calculating the number of covered cells. ;

[0016] According to the side length S and the number of covered cells The fractal dimension of the grayscale image of the contact surface is calculated, and the contact degree between the graphite ore and the impurity ore is quantified by the fractal dimension. The calculation formula of the fractal dimension is:

[0017] ;

[0018] Where S represents the side length of the cell, S is a positive integer, Indicates the number of covered cells, Represents the fractal dimension of the grayscale image of the contact surface;

[0019] The proportion coefficient of impurity ore in graphite ore is obtained, and the symbiosis coefficient of graphite ore and impurity ore is obtained according to the proportion coefficient and fractal dimension. The calculation formula of the symbiosis coefficient is:

[0020] ;

[0021] In the formula Indicates the proportion of impurity ore in graphite ore, represents the fractal dimension of the grayscale image of the contact surface, represents the first adjustment factor, Indicates the symbiosis coefficient of graphite ore and impurity ore.

[0022] As a preferred technical solution, the calculation formula for the number of covered cells is:

[0023] ;

[0024] In the formula represents the pixel value set of all pixels in the mth cell, M represents the number of cells in the grayscale image of the contact surface, Represents the maximum value in a set of pixel values. Represents the minimum value in a set of pixel values. Used for judgment and Are they equal? ​​If ,but ,like ,but , Indicates the number of covered cells.

[0025] As a preferred technical solution, the specific steps of obtaining the mudding coefficient include:

[0026] Obtaining graphite slurry information after flotation process, the graphite slurry information including the mass concentration of tiny solid particles smaller than a preset particle size threshold and the mass concentration of total solid particles in the slurry;

[0027] Substitute the graphite slurry information into the mud coefficient calculation formula to calculate the mud coefficient of graphite slurry. The mud coefficient calculation formula is:

[0028] ;

[0029] In the formula Indicates the mass concentration of tiny solid particles in the slurry that are smaller than the preset particle size threshold. Indicates the mass concentration of total solid particles in the slurry. Indicates the mud coefficient of graphite slurry.

[0030] As a preferred technical solution, the specific steps of obtaining the recovery coefficient include:

[0031] Obtaining graphite content information and impurity content information, wherein the graphite content information includes graphite content information before the selection process and graphite content information after the selection process, and the impurity content information includes impurity content information before the selection process and impurity content information after the selection process;

[0032] Substitute the graphite content information and impurity content information into the recovery factor calculation formula to calculate the recovery factor of graphite. The recovery factor calculation formula is:

[0033] ;

[0034] In the formula Indicates the graphite content information after the selection process. Indicates the graphite content information before the selection process. Indicates the impurity content information after the selection process. Indicates the impurity content information before the selection process. represents the second adjustment factor, Indicates the recovery factor of graphite.

[0035] As a preferred technical solution, the specific steps of obtaining the graphite impurity separation effect index include:

[0036] Obtain the symbiosis coefficient, mudification coefficient and recovery coefficient;

[0037] Substitute the symbiosis coefficient, mudification coefficient and recovery coefficient into the graphite impurity separation effect index calculation formula to calculate the graphite impurity separation effect index. The graphite impurity separation effect index calculation formula is:

[0038] ;

[0039] In the formula Indicates the symbiosis coefficient of graphite ore and impurity ore, Indicates the sludge coefficient of graphite slurry, represents the recovery factor of graphite, represents the recovery factor weight, represents the weight of the symbiosis coefficient, represents the weight of the mudding coefficient, and K represents the graphite impurity separation effect index.

[0040] It should be noted here that the first adjustment factor, the second adjustment factor, the recovery coefficient weight, the symbiosis coefficient weight, the mud coefficient weight, the preset particle size threshold and the preset impurity separation threshold are obtained as follows: 5000 groups of contact surface images of graphite ore and impurity ore, graphite slurry information, graphite content information and impurity content information are collected, and whether the graphite impurity separation effect meets the production requirements is distinguished, and the contact surface image, graphite slurry information, graphite content information and impurity content information are substituted into the graphite impurity separation effect index calculation formula for calculation, and the calculated graphite impurity separation effect index and the distinction result are simultaneously imported into the fitting software, and the optimal first adjustment factor, the second adjustment factor, the recovery coefficient weight, the symbiosis coefficient weight, the mud coefficient weight, the preset particle size threshold and the preset impurity separation threshold that meet the distinction accuracy of the distinction result are output.

[0041] The present application also provides a graphite impurity separation effect evaluation management system, comprising:

[0042] Information collection module, used to collect the contact surface image of graphite ore and impurity ore, collect graphite slurry information after flotation process, and collect graphite content information and impurity content information;

[0043] A symbiosis coefficient calculation module is used to obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image;

[0044] A mud coefficient calculation module is used to calculate the mud coefficient of graphite slurry according to graphite slurry information;

[0045] A recovery factor calculation module, used to calculate the recovery factor of graphite based on graphite content information and impurity content information;

[0046] A separation effect index calculation module is used to obtain the graphite impurity separation effect index according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated;

[0047] The control module is used to control the operation of the information acquisition module, the symbiosis coefficient calculation module, the mudification coefficient calculation module, the recovery coefficient calculation module and the separation effect index calculation module.

[0048] An electronic device of the present application includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a graphite impurity separation effect evaluation and management method by calling the computer program stored in the memory.

[0049] A computer-readable storage medium of the present application stores instructions, and when the instructions are executed on a computer, the computer is enabled to execute a graphite impurity separation effect evaluation and management method.

[0050] Compared with the prior art, this application has the following advantages and beneficial effects:

[0051] The present application first analyzes the degree of symbiosis between graphite ore and impurity ore through contact surface images, then quantifies the degree of mudification of graphite slurry through the mudification coefficient, then calculates the recovery coefficient of graphite through graphite content information and impurity content information, and finally calculates the graphite impurity separation effect index by combining the symbiosis coefficient, mudification coefficient and recovery coefficient, thereby quantifying the graphite impurity separation effect, thereby improving the accuracy and reliability of the evaluation of the graphite impurity separation effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0053] Figure 1 A schematic diagram of the overall process of a graphite impurity separation effect evaluation management method provided in an embodiment of the present application;

[0054] Figure 2 A flow chart of the flotation process described in a graphite impurity separation effect evaluation management method provided in an embodiment of the present application;

[0055] Figure 3A schematic diagram of the structure of a graphite impurity separation effect evaluation management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0057] Example 1

[0058] See also Figure 1 , Figure 1 The overall flow diagram of a graphite impurity separation effect evaluation management method provided in an embodiment of the present application is as follows. This embodiment provides a graphite impurity separation effect evaluation management method, which specifically includes the following steps:

[0059] S1: Collect the contact surface image of graphite ore and impurity ore, collect the graphite slurry information after flotation process, and collect the graphite content information and impurity content information.

[0060] S2: Obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image;

[0061] The fractal dimension is calculated through the contact surface image of graphite ore and impurity ore, the complex structure of the contact surface is converted into a grayscale image, and the complexity of the contact surface structure is quantified using the principle of fractal geometry. The contact surface image fractal dimension can reflect the contact degree between graphite ore and impurity ore. The higher the fractal dimension, the more complex the contact between graphite ore and impurity ore. The symbiosis coefficient combines the content of impurity ore in the ore and the complexity of the contact surface, and can more comprehensively evaluate the difficulty of separating graphite ore and impurity ore. The specific steps to obtain the symbiosis coefficient include:

[0062] Acquire the contact surface image, and convert the contact surface image into a contact surface grayscale image. The specific conversion process is as follows: traverse each pixel point in the contact surface image, calculate the brightness value of the red, green, and blue channels of the pixel point, use the weighted average method to add the weighted values ​​of the three channels to obtain the grayscale value, and assign the grayscale value to the red, green, and blue channels of the original pixel point respectively to obtain the contact surface grayscale image;

[0063] The grayscale image of the contact surface is covered by cells with a side length of S, and the number of covered cells is calculated by the formula for calculating the number of covered cells. ;

[0064] According to the side length S and the number of covered cells The fractal dimension of the grayscale image of the contact surface is calculated, and the contact degree between the graphite ore and the impurity ore is quantified by the fractal dimension. The calculation formula of the fractal dimension is:

[0065] ;

[0066] Where S represents the side length of the cell, S is a positive integer, Indicates the number of covered cells, Represents the fractal dimension of the grayscale image of the contact surface;

[0067] MLA (Mineral Liberation Analyzer) mineral dissociation analysis technology is a mineralogical analysis tool. MLA mineral dissociation analysis technology uses backscattered electron images that fully reflect the compositional differences of mineral phases as the basic image, uses modern image analysis technology and energy spectrum rapid analysis technology, designs software from the perspective of process mineralogy, and establishes a standard mineral sequence for the test mineral sample. Its basic principle is to achieve automatic sample displacement through the combination of electron microscope software, energy spectrum analysis technology and MLA software, and to distinguish different phases by granulation of backscattered electron images. The energy spectrum data of different phases are automatically collected, and the X-rays generated by the energy spectrum are used to accurately identify minerals. A sample mineral standard library is established, and the process mineralogy parameters are obtained after automatic fitting calculation by the computer. The process mineralogy parameters include the mineral type and content of the ore. The proportion coefficient of impurity ore in graphite ore is obtained through MLA mineral dissociation analysis technology, and the symbiosis coefficient of graphite ore and impurity ore is obtained based on the proportion coefficient and fractal dimension. The calculation formula of the symbiosis coefficient is:

[0068] ;

[0069] In the formula Indicates the proportion of impurity ore in graphite ore, represents the fractal dimension of the grayscale image of the contact surface,

[0070] represents the first adjustment factor, Indicates the symbiosis coefficient of graphite ore and impurity ore;

[0071] The number of covered cells is calculated by the differential coverage method, and the cells with different pixel values ​​are regarded as covered cells. The calculation formula for the number of covered cells is:

[0072] ;

[0073] In the style represents the pixel value set of all pixels in the mth cell, M represents the number of cells in the grayscale image of the contact surface, Represents the maximum value in a set of pixel values. Represents the minimum value in a set of pixel values. Used for judgment and Are they equal? ​​If ,but ,like ,but , Indicates the number of covered cells.

[0074] S3: Calculate the sludge coefficient of graphite slurry according to the graphite slurry information;

[0075] Mudification refers to the state in which graphite particles become small and dispersed when subjected to external forces, forming a state similar to mud. The mudification coefficient refers to the ratio of the mass concentration of tiny solid particles in the slurry to the mass concentration of total solid particles. This coefficient can reflect the relative content of fine-grained particles in the slurry and is used to evaluate the tendency of graphite slurry to mud. The specific steps to obtain the mudification coefficient include:

[0076] Obtaining graphite slurry information after flotation process, the graphite slurry information including the mass concentration of tiny solid particles smaller than a preset particle size threshold and the mass concentration of total solid particles in the slurry;

[0077] Substitute the graphite slurry information into the mud coefficient calculation formula to calculate the mud coefficient of graphite slurry. The mud coefficient calculation formula is:

[0078] ;

[0079] In the formula Indicates the mass concentration of tiny solid particles in the slurry that are smaller than the preset particle size threshold. Indicates the mass concentration of total solid particles in the slurry. Indicates the mud coefficient of graphite slurry.

[0080] S4: Calculate the recovery factor of graphite based on the graphite content information and the impurity content information;

[0081] See also Figure 2 , Figure 2The present invention provides a flow chart of the flotation process described in a graphite impurity separation effect evaluation management method. The flotation process includes coarse grinding, rough separation, N times of fine grinding and N times of fine separation. The main purpose of the coarse grinding stage is to dissociate the graphite in the ore to form particles suitable for flotation. The pulp after coarse grinding enters the flotation machine for preliminary separation. The purpose of rough separation is to remove light impurities in the pulp and initially obtain a graphite-containing concentrate. In order to further dissociate graphite and impurities and refine graphite particles, the concentrate will undergo multiple times of fine grinding. The fine grinding stage aims to further grind the roughing concentrate to increase the separation of graphite and impurities. The degree of dissociation between the substances is usually measured by closed-circuit grinding. By controlling the grinding fineness, a better pulp fineness is obtained to facilitate the subsequent concentration process. The pulp after fine grinding undergoes multiple concentration processes, which can significantly improve the purity of graphite. The recovery coefficient of graphite is used to quantify the recovery effect and impurity removal effect of the flotation process on graphite. A high recovery coefficient means that the flotation process can effectively recover graphite from the ore while reducing the content of impurities. Calculating the recovery coefficient helps to evaluate whether the design of the flotation process is reasonable and whether the expected separation goal has been achieved. The specific steps to obtain the recovery coefficient include:

[0082] Obtaining graphite content information and impurity content information, wherein the graphite content information includes graphite content information before the selection process and graphite content information after the selection process, and the impurity content information includes impurity content information before the selection process and impurity content information after the selection process;

[0083] Substitute the graphite content information and impurity content information into the recovery factor calculation formula to calculate the recovery factor of graphite. The recovery factor calculation formula is:

[0084] ;

[0085] In the formula Indicates the graphite content information after the selection process. Indicates the graphite content information before the selection process. Indicates the impurity content information after the selection process. Indicates the impurity content information before the selection process. represents the second adjustment factor, Indicates the recovery factor of graphite.

[0086] S5: obtaining a graphite impurity separation effect index according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient, and ending the flotation process when the graphite impurity separation effect index is greater than a preset impurity separation threshold;

[0087] The graphite impurity separation effect index is used to comprehensively evaluate the separation effect of flotation process on graphite and impurities. Among them, the symbiosis coefficient reflects the degree of symbiosis between graphite and impurity ores, the mud coefficient measures the proportion of fine particles in the pulp, and the recovery coefficient represents the recovery rate of graphite and the removal effect of impurities. The overall effect of the flotation process is comprehensively evaluated by combining the above coefficients. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, it indicates that the process has achieved the expected separation purity and recovery rate, and the flotation process can be terminated. The specific steps to obtain the graphite impurity separation effect index include:

[0088] Obtain the symbiosis coefficient, mudification coefficient and recovery coefficient;

[0089] Substitute the symbiosis coefficient, mudification coefficient and recovery coefficient into the graphite impurity separation effect index calculation formula to calculate the graphite impurity separation effect index. The graphite impurity separation effect index calculation formula is:

[0090] ;

[0091] In the formula Indicates the symbiosis coefficient of graphite ore and impurity ore, Indicates the sludge coefficient of graphite slurry, represents the recovery factor of graphite, represents the recovery factor weight, represents the weight of the symbiosis coefficient, represents the weight of the mudding coefficient, and K represents the graphite impurity separation effect index.

[0092] Example 2

[0093] See also Figure 3 , Figure 3 This is a structural diagram of a graphite impurity separation effect evaluation management system provided in an embodiment of the present application. This embodiment provides a graphite impurity separation effect evaluation management system, including:

[0094] Information collection module, used to collect the contact surface image of graphite ore and impurity ore, collect graphite slurry information after flotation process, and collect graphite content information and impurity content information;

[0095] A symbiosis coefficient calculation module is used to obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image;

[0096] A mud coefficient calculation module is used to calculate the mud coefficient of graphite slurry according to graphite slurry information;

[0097] A recovery factor calculation module, used to calculate the recovery factor of graphite based on graphite content information and impurity content information;

[0098] A separation effect index calculation module is used to obtain the graphite impurity separation effect index according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated;

[0099] The control module is used to control the operation of the information acquisition module, the symbiosis coefficient calculation module, the mudification coefficient calculation module, the recovery coefficient calculation module and the separation effect index calculation module.

[0100] In this embodiment, the symbiosis coefficient calculation module is used to obtain the symbiosis coefficient of the graphite ore and the impurity ore according to the contact surface image. The specific steps of obtaining the symbiosis coefficient include:

[0101] Acquire a contact surface image, and convert the contact surface image into a contact surface grayscale image;

[0102] The grayscale image of the contact surface is covered by cells with a side length of S, and the number of covered cells is calculated by the formula for calculating the number of covered cells. ;

[0103] According to the side length S and the number of covered cells The fractal dimension of the grayscale image of the contact surface is calculated, and the contact degree between the graphite ore and the impurity ore is quantified by the fractal dimension. The calculation formula of the fractal dimension is:

[0104] ;

[0105] Where S represents the side length of the cell, S is a positive integer, Indicates the number of covered cells, Represents the fractal dimension of the grayscale image of the contact surface;

[0106] The proportion coefficient of impurity ore in graphite ore is obtained by MLA mineral dissociation analysis technology, and the symbiosis coefficient of graphite ore and impurity ore is obtained according to the proportion coefficient and fractal dimension. The calculation formula of the symbiosis coefficient is:

[0107] ;

[0108] In the formula Indicates the proportion of impurity ore in graphite ore, represents the fractal dimension of the grayscale image of the contact surface,

[0109] represents the first adjustment factor, Indicates the symbiosis coefficient of graphite ore and impurity ore;

[0110] The formula for calculating the number of covered cells is:

[0111] ;

[0112] In the formula represents the pixel value set of all pixels in the mth cell, M represents the number of cells in the grayscale image of the contact surface, Represents the maximum value in a set of pixel values. Represents the minimum value in a set of pixel values. Used for judgment and Are they equal? ​​If ,but ,like ,but , Indicates the number of covered cells.

[0113] In this embodiment, the mud coefficient calculation module is used to calculate the mud coefficient of the graphite slurry according to the graphite slurry information. The specific steps of obtaining the mud coefficient include:

[0114] Obtaining graphite slurry information after flotation process, the graphite slurry information including the mass concentration of tiny solid particles smaller than a preset particle size threshold and the mass concentration of total solid particles in the slurry;

[0115] Substitute the graphite slurry information into the mud coefficient calculation formula to calculate the mud coefficient of graphite slurry. The mud coefficient calculation formula is:

[0116] ;

[0117] In the formula Indicates the mass concentration of tiny solid particles in the slurry that are smaller than the preset particle size threshold. Indicates the mass concentration of total solid particles in the slurry. Indicates the mud coefficient of graphite slurry.

[0118] In this embodiment, the recovery coefficient calculation module is used to calculate the recovery coefficient of graphite according to the graphite content information and the impurity content information. The specific steps of obtaining the recovery coefficient include:

[0119] Obtaining graphite content information and impurity content information, wherein the graphite content information includes graphite content information before the selection process and graphite content information after the selection process, and the impurity content information includes impurity content information before the selection process and impurity content information after the selection process;

[0120] Substitute the graphite content information and impurity content information into the recovery factor calculation formula to calculate the recovery factor of graphite. The recovery factor calculation formula is:

[0121] ;

[0122] In the formula Indicates the graphite content information after the selection process. Indicates the graphite content information before the selection process. Indicates the impurity content information after the selection process. Indicates the impurity content information before the selection process. represents the second adjustment factor, Indicates the recovery factor of graphite.

[0123] In this embodiment, the separation effect index calculation module is used to obtain the graphite impurity separation effect index according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated. The specific steps of obtaining the graphite impurity separation effect index include:

[0124] Obtain the symbiosis coefficient, mudification coefficient and recovery coefficient;

[0125] Substitute the symbiosis coefficient, mudification coefficient and recovery coefficient into the graphite impurity separation effect index calculation formula to calculate the graphite impurity separation effect index. The graphite impurity separation effect index calculation formula is:

[0126] ;

[0127] In the formula Indicates the symbiosis coefficient of graphite ore and impurity ore, Indicates the sludge coefficient of graphite slurry, represents the recovery factor of graphite, represents the recovery factor weight, represents the weight of the symbiosis coefficient, represents the weight of the mudding coefficient, and K represents the graphite impurity separation effect index.

[0128] The above-mentioned parameters and steps for each unit module to achieve corresponding functions in a graphite impurity separation effect evaluation and management system of the present application can refer to the parameters and steps in the embodiment of a graphite impurity separation effect evaluation and management method mentioned above, and will not be repeated here.

[0129] Example 3

[0130] A computer-readable storage medium of an embodiment of the present application stores a computer program thereon, and when the computer program is executed by a processor, the above-mentioned graphite impurity separation effect evaluation management method is implemented. It should be noted that all computer programs of a graphite impurity separation effect evaluation management method are implemented using C language, wherein the information acquisition module, the symbiosis coefficient calculation module, the mud coefficient calculation module, the recovery coefficient calculation module, the separation effect index calculation module and the control module are all controlled by a remote server.

[0131] Example 4

[0132] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0133] When the computer program runs on a computer device, the computer device executes the above-mentioned graphite impurity separation effect evaluation and management method.

[0134] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

Claims

1. A graphite impurity separation effect evaluation and management method, characterized in that: The steps include: Collect the contact surface image of graphite ore and impurity ore, collect the information of graphite slurry after flotation process, and collect the information of graphite content and impurity content; Obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image; Calculate the sludge coefficient of graphite slurry based on graphite slurry information; Calculate the recovery factor of graphite based on the graphite content information and the impurity content information; The graphite impurity separation effect index is obtained according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated; The specific steps of obtaining the symbiosis coefficient include: Acquire a contact surface image, and convert the contact surface image into a contact surface grayscale image; The grayscale image of the contact surface is covered by cells with a side length of S, and the number of covered cells N(S) is calculated by the calculation formula of the number of covered cells; The fractal dimension of the contact surface grayscale image is calculated according to the side length S and the number of covered cells N(S). The contact degree between graphite ore and impurity ore is quantified by the fractal dimension. The calculation formula of the fractal dimension is: Where S represents the side length of the cell, S is a positive integer, N(S) represents the number of covered cells, K D Represents the fractal dimension of the grayscale image of the contact surface; The proportion coefficient of impurity ore in graphite ore is obtained, and the symbiosis coefficient of graphite ore and impurity ore is obtained according to the proportion coefficient and fractal dimension. The calculation formula of the symbiosis coefficient is: K S =α1×K P +(1-α1)×K D ; Where K P Indicates the proportion of impurity ore in graphite ore, K D represents the fractal dimension of the contact surface grayscale image, α1 represents the first adjustment factor, K S Indicates the symbiosis coefficient of graphite ore and impurity ore; The specific steps of obtaining the mudding coefficient include: Obtaining graphite slurry information after flotation process, the graphite slurry information including the mass concentration of tiny solid particles smaller than a preset particle size threshold and the mass concentration of total solid particles in the slurry; Substitute the graphite slurry information into the mud coefficient calculation formula to calculate the mud coefficient of graphite slurry. The mud coefficient calculation formula is: Where ρ micr It represents the mass concentration of tiny solid particles in the slurry that are smaller than the preset particle size threshold, ρ total Indicates the mass concentration of total solid particles in the slurry, K M Indicates the sludge coefficient of graphite slurry; The specific steps of obtaining the recovery factor include: Obtaining graphite content information and impurity content information, wherein the graphite content information includes graphite content information before the selection process and graphite content information after the selection process, and the impurity content information includes impurity content information before the selection process and impurity content information after the selection process; Substitute the graphite content information and impurity content information into the recovery factor calculation formula to calculate the recovery factor of graphite. The recovery factor calculation formula is: Where G after Indicates the graphite content after the selection process, G before Indicates the graphite content before the selection process, C after Indicates the impurity content information after the selection process, C before represents the impurity content information before the selection process, α2 represents the second adjustment factor, K F It indicates the recovery factor of graphite; The specific steps of obtaining the graphite impurity separation effect index include: Obtain the symbiosis coefficient, mudification coefficient and recovery coefficient; Substitute the symbiosis coefficient, mudification coefficient and recovery coefficient into the graphite impurity separation effect index calculation formula to calculate the graphite impurity separation effect index. The graphite impurity separation effect index calculation formula is: Where K S Indicates the symbiosis coefficient of graphite ore and impurity ore, K M Indicates the sludge coefficient of graphite slurry, K F It represents the recovery coefficient of graphite, ω1 represents the recovery coefficient weight, ω2 represents the symbiosis coefficient weight, ω3 represents the mudification coefficient weight, and K represents the graphite impurity separation effect index.

2. A graphite impurity separation effect evaluation and management method according to claim 1, characterized in that: The calculation formula for the number of covered cells is: Where I m represents the pixel value set of all pixels in the mth cell, M represents the number of cells in the grayscale image of the contact surface, max(I m ) represents the maximum value in the pixel value set, min(I m ) represents the minimum value in the pixel value set, and X(·) is used to determine max(I m ) and min(I m ) are equal, if max(I m )=min(I m ), then X(·)=0, if max(I m )≠min(I m ), then X(·)=1, and N(S) represents the number of covered cells.

3. A graphite impurity separation effect evaluation management system, which is implemented based on a graphite impurity separation effect evaluation management method according to any one of claims 1-2, characterized in that: The system comprises: Information collection module, used to collect the contact surface image of graphite ore and impurity ore, collect graphite slurry information after flotation process, and collect graphite content information and impurity content information; A symbiosis coefficient calculation module is used to obtain the symbiosis coefficient of graphite ore and impurity ore according to the contact surface image; A mud coefficient calculation module is used to calculate the mud coefficient of graphite slurry according to graphite slurry information; A recovery factor calculation module, used to calculate the recovery factor of graphite based on graphite content information and impurity content information; A separation effect index calculation module is used to obtain the graphite impurity separation effect index according to the symbiosis coefficient, the sludge coefficient and the recovery coefficient. When the graphite impurity separation effect index is greater than the preset impurity separation threshold, the flotation process is terminated; The control module is used to control the operation of the information acquisition module, the symbiosis coefficient calculation module, the mudification coefficient calculation module, the recovery coefficient calculation module and the separation effect index calculation module.

4. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a graphite impurity separation effect evaluation and management method as described in any one of claims 1-2 by calling the computer program stored in the memory.

5. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute a graphite impurity separation effect evaluation and management method as described in any one of claims 1-2.

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