Method and system for improving product dispersibility by adjusting ball-to-material ratio of ball mill

Abstract

The invention discloses a method and a system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, and belongs to the field of inorganic non-metallic material production equipment. The invention comprises the following steps: analyzing the optimal grinding temperature, the optimal grinding pressure and the optimal particle size distribution of each product during the grinding process; establishing a multiple linear regression model and training the multiple linear regression model; outputting the initial ball-to-material ratio of the current product before grinding through the multiple linear regression model; outputting the real-time optimal ball-to-material ratio of the current product at different times during the grinding process through the multiple linear regression model, and dynamically adjusting the ball-to-material ratio; analyzing the dispersibility of the current product, and analyzing whether the dispersibility of the current product meets the standard according to the dispersibility; the invention dynamically adjusts the ball-to-material ratio during grinding in a ball mill, so that the particle size of the ground product is more in line with the requirements and more uniform, which not only improves the grinding efficiency of the ball mill, but also enables the product to have better dispersibility.

Description

Technical Field

[0001] The invention relates to the field of inorganic non-metallic material production equipment, and in particular to a method and a system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill. Background Art

[0002] Ball mill is the key equipment for crushing materials after they are broken. It is widely used in cement, silicate products, new building materials, refractory materials, fertilizers, ferrous metal beneficiation, glass and ceramics and other production industries. Ball mill generally achieves the purpose of refining materials through extrusion, impact, shearing and grinding between grinding media.

[0003] Most ball mills still use the traditional grinding process, using a fixed ball-to-material ratio when grinding products, which cannot be adjusted in real time. If an inappropriate ball-to-material ratio is used in actual grinding, the particle size of the product after grinding will be coarse and uneven, which not only reduces the grinding efficiency of the ball mill, but also makes the dispersion of the product poor.

[0004] Therefore, people are in urgent need of a system to solve the above problems by adjusting the ball-to-material ratio of the ball mill to improve the dispersibility of the product. Summary of the invention

[0005] The object of the present invention is to provide a system for improving the dispersibility of a product by adjusting the ball-to-material ratio of a ball mill, so as to solve the problems raised in the above-mentioned background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] A method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, the method comprising the following steps:

[0008] S1. According to the particle size distribution required by each product, the particle size distribution refers to the distribution of the proportion of particles of different particle sizes in the granular material, the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process are collected, and the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution of each product during the grinding process are analyzed;

[0009] S2. Collect the ball-to-material ratio of each product before grinding, establish a multiple linear regression model, take the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution corresponding to each product as independent variables, take the ball-to-material ratio corresponding to each product as the dependent variable, and train the multiple linear regression model;

[0010] S3, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set by the current ball mill, and outputting the initial ball-to-material ratio of the current product before grinding through a multiple linear regression model;

[0011] S4. Grind with a ball mill according to the initial ball-to-material ratio; collect the initial material amount and the remaining material amount ground by the ball mill, and collect the real-time grinding temperature, real-time grinding pressure and real-time particle size distribution of the current product at different times during the grinding process according to the remaining material amount, output the real-time optimal ball-to-material ratio of the current product at different times during the grinding process through a multivariate linear regression model, and dynamically adjust the ball-to-material ratio;

[0012] S5. Collect the particle size distribution of the current product after grinding, analyze the dispersion of the current product, and analyze whether the dispersion of the current product meets the standard based on the dispersion.

[0013] According to the above technical solution, the specific process of step S1 is as follows:

[0014] S1-1. According to the particle size distribution required by the product, collect the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process:

[0015] The particle size distribution required for the ath product is recorded as ; The grinding temperature of the ath product at time b during the grinding process is recorded as ; The grinding pressure of the ath product at time b during the grinding process is recorded as ; The particle size distribution of the ath product at time b during the grinding process is recorded as ; a∈[1, N1], N1 is a positive integer; b∈[1, N2], N2 is a positive integer;

[0016] S1-2, through and , calculate the particle size distribution difference of the product at different times during the grinding process according to the following formula:

[0017] ;

[0018] in, It represents the particle size distribution difference of the ath product at time b during the grinding process;

[0019] S1-3. By comparison , filter out The moment corresponding to the minimum value in the grinding process is taken as the optimal grinding temperature of the ath product in the grinding process, and is recorded as The grinding pressure and particle size distribution corresponding to this moment are taken as the optimal grinding pressure of the ath product in the grinding process, and recorded as The particle size distribution corresponding to this moment is taken as the optimal particle size distribution of the ath product in the grinding process, and is recorded as ;

[0020] By collecting and analyzing data on historical products, the relationship between the ball-to-material ratio and temperature, pressure and particle size division of the product can be analyzed more convincingly, the error between the data can be smaller, and the accuracy of the system can be improved.

[0021] According to the above technical solution, the specific process of step S2 is as follows:

[0022] S2-1. Collect the ball-to-material ratio of each product before grinding:

[0023] The ball-to-material ratio of the ath product before grinding is recorded as ; The particle size distribution of the ath product after grinding is recorded as ;

[0024] S2-2. Establish a multiple linear regression model using the following formula:

[0025] ;

[0026] in, represents the dependent variable, represents the cth independent variable, represents the intercept term, represents the regression coefficient of the cth independent variable, represents the error term; c∈[1, N3], N3 is a positive integer;

[0027] S2-3. Corresponding products , and As the independent variable, the corresponding As the dependent variable, a multiple linear regression model was trained;

[0028] Through the trained multivariate linear regression model, it is easy to obtain the ball-to-material ratio corresponding to the situation according to the data changes in the grinding process, and adjust the ball-to-material ratio quickly and accurately.

[0029] According to the above technical solution, the specific process of step S3 is as follows:

[0030] S3-1, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set for the current ball mill;

[0031] The particle size distribution required by the current product is recorded as S2; the initial grinding temperature set by the current ball mill is recorded as T3; the initial grinding pressure set by the current ball mill is recorded as P3;

[0032] S3-2. Use S2, T3 and P3 as independent variables, input them into the multiple linear regression model, and output the initial ball-to-material ratio of the current product before grinding, recorded as R2.

[0033] According to the above technical solution, the specific process of step S4 is as follows:

[0034] S4-1, according to R2, use ball mill to grind, the starting time is recorded as time; collecting the initial amount of material ground by the ball mill and the remaining amount of material; the initial amount of material ground by the ball mill is recorded as W1; the remaining amount of material ground by the ball mill is recorded as W2;

[0035] S4-2, The corresponding time is recorded as moment; where i∈[1, N4], N4 is a positive integer; It is a fixed parameter preset by the system; ;

[0036] S4-3, collecting the real-time grinding temperature and real-time grinding pressure of the current product at different times during the grinding process;

[0037] The current product is in the grinding process The real-time grinding temperature at time is recorded as ; The current product is in the grinding process The real-time grinding pressure at time is recorded as ; The current product is in the grinding process The real-time particle size distribution at the moment is recorded as ;

[0038] S4-4. , and As the independent variable, input the multiple linear regression model and output the current product in the grinding process The real-time optimal ball-to-material ratio at the moment is recorded as ;

[0039] S4-4. Calculate the adjustment amount of ball-to-material ratio at different times according to the following formula:

[0040] ;

[0041] in, express The adjustment amount of ball-to-material ratio at each moment; Indicates that the current product is in the grinding process The real-time optimal ball-to-material ratio at the moment, when i-1=0, R2;

[0042] pass right The ball-to-material ratio is adjusted accordingly. Time has come The corresponding time Based on, increase , so that The corresponding ball-to-material ratio after time is ;

[0043] The ball-to-material ratio is dynamically adjusted during the grinding process, so that the ball mill uses the appropriate ball-to-material ratio according to the actual situation during grinding. The particle size of the product after grinding is more in line with the requirements and more uniform.

[0044] According to the above technical solution, the specific process of step S5 is as follows:

[0045] S5-1, according to the particle size distribution S2 required by the current product, obtain the average particle size required by the current product, recorded as D;

[0046] According to the particle size distribution of the current product after grinding, the particle sizes corresponding to the particles with different cumulative volumes are obtained, and the particle size corresponding to the jth cumulative volume of particles is recorded as ; j∈[1, N5]; the cumulative volume refers to the percentage of the total volume of particles with a particle size less than or equal to a certain particle size in the granular material;

[0047] S5-2, through D and , calculate the dispersion of the current product according to the following formula:

[0048] ;

[0049] Among them, F represents the dispersion of the current product;

[0050] If F satisfies F≤ , it means that the dispersion of the current product meets the standard. It is a fixed parameter preset by the system;

[0051] If F does not satisfy F≤ , it means that the dispersibility of the current product does not meet the standard and the product needs to be ground again.

[0052] A system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, the system comprising an information collection module, an information processing module and an execution module;

[0053] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0054] According to the above technical solution, the information collection module includes a product information unit and a device information unit;

[0055] The product information unit is used to collect historical data information and real-time data information of the product ground by the ball mill, and the equipment information unit is used to collect parameter information of the initial setting of the ball mill and parameter information of the ball mill during grinding.

[0056] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0057] The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

[0058] According to the above technical solution, the execution module includes a display unit and a device adjustment unit;

[0059] The display unit is used to display the status information of the product and the ball mill, and the equipment adjustment unit is used to adjust the ball-to-material ratio of the ball mill.

[0060] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0061] The present invention analyzes the grinding temperature and grinding pressure of historical products during the grinding process, the ball-to-material ratio of the corresponding products before grinding, and the particle size distribution of the corresponding products during the process, so as to obtain the relationship between the ball-to-material ratio, particle size distribution, grinding temperature and grinding pressure of the products; when the products are obtained by grinding in a ball mill, the ball-to-material ratio is dynamically adjusted according to the real-time data of the products and the ball mill, so that the ball mill uses a suitable ball-to-material ratio according to the actual situation during grinding, and the particle size of the products after grinding better meets the requirements and is more uniform, which not only improves the grinding efficiency of the ball mill but also enables the products to have better dispersibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 It is a schematic flow chart of a method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to the present invention;

[0064] Figure 2 It is a structural schematic diagram of a system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] See also Figure 1 , the present invention provides a technical solution:

[0067] A method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, the method comprising the following steps:

[0068] S1. According to the particle size distribution required by each product, the particle size distribution refers to the distribution of the proportion of particles of different particle sizes in the granular material, the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process are collected, and the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution of each product during the grinding process are analyzed;

[0069] The specific process of step S1 is as follows:

[0070] S1-1. According to the particle size distribution required by the product, collect the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process:

[0071] The particle size distribution required for the ath product is recorded as ; The grinding temperature of the ath product at time b during the grinding process is recorded as ; The grinding pressure of the ath product at time b during the grinding process is recorded as ; The particle size distribution of the ath product at time b during the grinding process is recorded as ; a∈[1, N1], N1 is a positive integer; b∈[1, N2], N2 is a positive integer;

[0072] S1-2, through and , calculate the particle size distribution difference of the product at different times during the grinding process according to the following formula:

[0073] ;

[0074] in, It represents the particle size distribution difference of the ath product at time b during the grinding process;

[0075] S1-3. By comparison , filter out The moment corresponding to the minimum value in the grinding process is taken as the optimal grinding temperature of the ath product in the grinding process, and is recorded as The grinding pressure and particle size distribution corresponding to this moment are taken as the optimal grinding pressure of the ath product in the grinding process, and recorded as The particle size distribution corresponding to this moment is taken as the optimal particle size distribution of the ath product in the grinding process, and is recorded as ;

[0076] Provide data support for the subsequent training of multiple linear regression models;

[0077] By collecting and analyzing data on historical products, the relationship between the ball-to-material ratio and temperature, pressure and particle size division of the product can be analyzed more convincingly, the error between the data can be smaller, and the accuracy of the system can be improved.

[0078] S2. Collect the ball-to-material ratio of each product before grinding, establish a multiple linear regression model, take the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution corresponding to each product as independent variables, take the ball-to-material ratio corresponding to each product as the dependent variable, and train the multiple linear regression model;

[0079] The specific process of step S2 is as follows:

[0080] S2-1, collect the ball-to-material ratio of each product before grinding;

[0081] The ball-to-material ratio of the ath product before grinding is recorded as ; The particle size distribution of the ath product after grinding is recorded as ;

[0082] S2-2. Establish a multiple linear regression model using the following formula:

[0083] ;

[0084] in, represents the dependent variable, represents the cth independent variable, represents the intercept term, represents the regression coefficient of the cth independent variable, represents the error term; c∈[1, N3], N3 is a positive integer;

[0085] S2-3. Corresponding products , and As the independent variable, the corresponding As the dependent variable, a multiple linear regression model was trained;

[0086] Provide data support for the subsequent dynamic adjustment of the ball-to-material ratio;

[0087] Through the trained multivariate linear regression model, it is easy to obtain the ball-to-material ratio corresponding to the situation according to the data changes in the grinding process, and adjust the ball-to-material ratio quickly and accurately.

[0088] S3, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set by the current ball mill, and outputting the initial ball-to-material ratio of the current product before grinding through a multiple linear regression model;

[0089] The specific process of step S3 is as follows:

[0090] S3-1, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set for the current ball mill;

[0091] The particle size distribution required by the current product is recorded as S2; the initial grinding temperature set by the current ball mill is recorded as T3; the initial grinding pressure set by the current ball mill is recorded as P3;

[0092] S3-2. Use S2, T3 and P3 as independent variables, input them into the multiple linear regression model, and output the initial ball-to-material ratio of the current product before grinding, recorded as R2.

[0093] S4. Grind with a ball mill according to the initial ball-to-material ratio; collect the initial material amount and the remaining material amount ground by the ball mill, and collect the real-time grinding temperature, real-time grinding pressure and real-time particle size distribution of the current product at different times during the grinding process according to the remaining material amount, output the real-time optimal ball-to-material ratio of the current product at different times during the grinding process through a multivariate linear regression model, and dynamically adjust the ball-to-material ratio;

[0094] The specific process of step S4 is as follows:

[0095] S4-1, according to R2, use ball mill to grind, the starting time is recorded as time; collecting the initial amount of material ground by the ball mill and the remaining amount of material; the initial amount of material ground by the ball mill is recorded as W1; the remaining amount of material ground by the ball mill is recorded as W2;

[0096] S4-2, The corresponding time is recorded as moment; where i∈[1, N4], N4 is a positive integer; It is a fixed parameter preset by the system; ;

[0097] For example:

[0098] The known starting time is At this moment, the initial ball-to-material ratio of the current product before grinding is R2=2:1, the initial material amount ground by the ball mill is W1=200, and the fixed parameters preset by the system are ;

[0099] 0≤( =1) ≤1, when W2=(1-( =1) )(W1=200)=120 is the corresponding moment time;

[0100] 0≤( =2) ≤1, when W2=(1-( =2) )(W1=200)=40 is the corresponding moment time;

[0101] ( =3) >1, do not perform the operation;

[0102] Get N4=2, , ;

[0103] S4-3, collecting the real-time grinding temperature and real-time grinding pressure of the current product at different times during the grinding process;

[0104] The current product is in the grinding process The real-time grinding temperature at time is recorded as ; The current product is in the grinding process The real-time grinding pressure at time is recorded as ; The current product is in the grinding process The real-time particle size distribution at the moment is recorded as ;

[0105] For example:

[0106] The current product is in the grinding process Real-time grinding temperature at all times ; The current product is in the grinding process Real-time grinding temperature at all times ;

[0107] The current product is in the grinding process Real-time grinding pressure at all times ; The current product is in the grinding process Real-time grinding pressure at all times ;

[0108] The current product is in the grinding process Real-time granularity distribution at each moment ; The current product is in the grinding process Real-time granularity distribution at each moment ;

[0109] S4-4. , and As the independent variable, input the multiple linear regression model and output the current product in the grinding process The real-time optimal ball-to-material ratio at the moment is recorded as ;

[0110] For example:

[0111] Output the current product in the grinding process Real-time optimal ball-to-material ratio at all times ;

[0112] Output the current product in the grinding process Real-time optimal ball-to-material ratio at all times ;

[0113] S4-4. Calculate the adjustment amount of ball-to-material ratio at different times according to the following formula:

[0114] ;

[0115] in, express The adjustment amount of ball-to-material ratio at each moment; Indicates that the current product is in the grinding process The real-time optimal ball-to-material ratio at the moment, when i-1=0, R2;

[0116] pass right The ball-to-material ratio is adjusted accordingly. Time has come The corresponding time Based on, increase , so that The corresponding ball-to-material ratio after time is ;

[0117] For example:

[0118] Known R2=2:1; , ;

[0119] Calculate the adjustment amount of ball-to-material ratio at different times according to the following formula:

[0120] ;

[0121] get ; ;

[0122] pass right The ball-to-material ratio is adjusted accordingly. Time has come The corresponding time Based on, increase , so that The corresponding ball-to-material ratio after time is ;

[0123] pass right The ball-to-material ratio is adjusted accordingly. Time has come The corresponding time Based on, increase , so that The corresponding ball-to-material ratio after time is ;

[0124] The ball-to-material ratio is dynamically adjusted during the grinding process, so that the ball mill uses the appropriate ball-to-material ratio according to the actual situation during grinding. The particle size of the product after grinding is more in line with the requirements and more uniform.

[0125] S5. Collect the particle size distribution of the current product after grinding, analyze the dispersion of the current product, and analyze whether the dispersion of the current product meets the standard based on the dispersion;

[0126] The specific process of step S5 is as follows:

[0127] S5-1. According to the particle size distribution S2 required by the current product, obtain the average particle size required by the current product, recorded as D;

[0128] According to the particle size distribution of the current product after grinding, the particle sizes corresponding to the particles with different cumulative volumes are obtained, and the particle size corresponding to the jth cumulative volume of particles is recorded as ; j∈[1, N5]; the cumulative volume refers to the percentage of the total volume of particles with a particle size less than or equal to a certain particle size in the granular material;

[0129] S5-2, through D and , calculate the dispersion of the current product according to the following formula:

[0130] ;

[0131] Among them, F represents the dispersion of the current product;

[0132] If F satisfies F≤ , it means that the dispersion of the current product meets the standard. It is a fixed parameter preset by the system;

[0133] If F does not satisfy F≤ , it means that the dispersibility of the current product does not meet the standard and the product needs to be ground again.

[0134] See also Figure 2 , a system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, the system comprising an information collection module, an information processing module and an execution module;

[0135] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0136] According to the above technical solution, the information collection module includes a product information unit and a device information unit;

[0137] The product information unit is used to collect historical data information and real-time data information of the product ground by the ball mill, and the equipment information unit is used to collect parameter information of the initial setting of the ball mill and parameter information of the ball mill during grinding.

[0138] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0139] The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

[0140] According to the above technical solution, the execution module includes a display unit and a device adjustment unit;

[0141] The display unit is used to display the status information of the product and the ball mill, and the equipment adjustment unit is used to adjust the ball-to-material ratio of the ball mill.

[0142] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0143] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, characterized in that: The method comprises the following steps: S1. According to the particle size distribution required by each product, the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process are collected, and the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution of each product during the grinding process are analyzed; S2. Collect the ball-to-material ratio of each product before grinding, establish a multiple linear regression model, take the optimal grinding temperature, optimal grinding pressure and optimal particle size distribution corresponding to each product as independent variables, take the ball-to-material ratio corresponding to each product as the dependent variable, and train the multiple linear regression model; S3, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set by the current ball mill, and outputting the initial ball-to-material ratio of the current product before grinding through a multiple linear regression model; S4. Grind with a ball mill according to the initial ball-to-material ratio; collect the initial material amount and the remaining material amount ground by the ball mill, and collect the real-time grinding temperature, real-time grinding pressure and real-time particle size distribution of the current product at different times during the grinding process according to the remaining material amount, output the real-time optimal ball-to-material ratio of the current product at different times during the grinding process through a multivariate linear regression model, and dynamically adjust the ball-to-material ratio; S5. Collect the particle size distribution of the current product after grinding, analyze the dispersion of the current product, and analyze whether the dispersion of the current product meets the standard based on the dispersion.

2. The method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 1, characterized in that: The specific process of step S1 is as follows: S1-1. According to the particle size distribution required by the product, collect the grinding temperature, grinding pressure and particle size distribution of each product at different times during the grinding process: The particle size distribution required for the ath product is recorded as ; The grinding temperature of the ath product at time b during the grinding process is recorded as ; The grinding pressure of the ath product at time b during the grinding process is recorded as ; The particle size distribution of the ath product at time b during the grinding process is recorded as ; a∈[1, N1], N1 is a positive integer; b∈[1, N2], N2 is a positive integer; S1-2, through and , calculate the particle size distribution difference of the product at different times during the grinding process according to the following formula: ； in, It represents the particle size distribution difference of the ath product at time b during the grinding process; S1-3. By comparison , filter out The moment corresponding to the minimum value in the grinding process is taken as the optimal grinding temperature of the ath product in the grinding process, and is recorded as The grinding pressure and particle size distribution corresponding to this moment are taken as the optimal grinding pressure of the ath product in the grinding process, and recorded as The particle size distribution corresponding to this moment is taken as the optimal particle size distribution of the ath product in the grinding process, and is recorded as .

3. The method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 2, characterized in that: The specific process of step S2 is as follows: S2-1. Collect the ball-to-material ratio of each product before grinding: The ball-to-material ratio of the ath product before grinding is recorded as ; The particle size distribution of the ath product after grinding is recorded as ; S2-2. Establish a multiple linear regression model using the following formula: ； in, represents the dependent variable, represents the cth independent variable, represents the intercept term, represents the regression coefficient of the cth independent variable, represents the error term; c∈[1, N3], N3 is a positive integer; S2-3. Corresponding products , and As the independent variable, the corresponding As the dependent variable, a multiple linear regression model was trained.

4. The method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 3, characterized in that: The specific process of step S3 is as follows: S3-1, collecting the particle size distribution required by the current product, as well as the initial grinding temperature and initial grinding pressure set for the current ball mill; The particle size distribution required by the current product is recorded as S2; the initial grinding temperature set by the current ball mill is recorded as T3; the initial grinding pressure set by the current ball mill is recorded as P3; S3-2. Use S2, T3 and P3 as independent variables, input them into the multiple linear regression model, and output the initial ball-to-material ratio of the current product before grinding, recorded as R2.

5. The method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 4, characterized in that: The specific process of step S4 is as follows: S4-1, according to R2, use ball mill to grind, the starting time is recorded as time; collecting the initial amount of material ground by the ball mill and the remaining amount of material; the initial amount of material ground by the ball mill is recorded as W1; the remaining amount of material ground by the ball mill is recorded as W2; S4-2, The corresponding time is recorded as moment; where i∈[1, N4], N4 is a positive integer; It is a fixed parameter preset by the system; ; S4-3, collecting the real-time grinding temperature and real-time grinding pressure of the current product at different times during the grinding process; The current product is in the grinding process The real-time grinding temperature at time is recorded as ; The current product is in the grinding process The real-time grinding pressure at time is recorded as ; The current product is in the grinding process The real-time particle size distribution at the moment is recorded as ; S4-4. , and As the independent variable, input the multiple linear regression model and output the current product in the grinding process The real-time optimal ball-to-material ratio at the moment is recorded as ; S4-4. Calculate the adjustment amount of ball-to-material ratio at different times according to the following formula: ； in, express The adjustment amount of ball-to-material ratio at each moment; Indicates that the current product is in the grinding process The real-time optimal ball-to-material ratio at the moment, when i-1=0, R2; pass right The ball-to-material ratio is adjusted accordingly. Time has come The corresponding time Based on, increase , so that The corresponding ball-to-material ratio after time is .

6. The method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 5, characterized in that: The specific process of step S5 is as follows: S5-1, according to the particle size distribution S2 required by the current product, obtain the average particle size required by the current product, recorded as D; According to the particle size distribution of the current product after grinding, the particle sizes corresponding to the particles with different cumulative volumes are obtained, and the particle size corresponding to the jth cumulative volume of particles is recorded as ; j∈[1,N5]; S5-2, through D and , calculate the dispersion of the current product according to the following formula: ； Among them, F represents the dispersion of the current product; If F satisfies F≤ , it means that the dispersion of the current product meets the standard. It is a fixed parameter preset by the system; If F does not satisfy F≤ , it means that the dispersibility of the current product does not meet the standard and the product needs to be ground again.

7. A system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill, such as a method for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to any one of claims 1 to 6, characterized in that: The system includes an information collection module, an information processing module and an execution module; The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

8. The system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 7, characterized in that: The information collection module includes a product information unit and a device information unit; The product information unit is used to collect historical data information and real-time data information of the product ground by the ball mill, and the equipment information unit is used to collect parameter information of the initial setting of the ball mill and parameter information of the ball mill during grinding.

9. The system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 7, characterized in that: The information processing module includes an information storage unit, an information analysis unit and an information transmission unit; The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

10. The system for improving product dispersibility by adjusting the ball-to-material ratio of a ball mill according to claim 7, characterized in that: The execution module includes a display unit and a device adjustment unit; The display unit is used to display the status information of the product and the ball mill, and the equipment adjustment unit is used to adjust the ball-to-material ratio of the ball mill.

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