A method and system for mill control for high performance polyurea adhesive production

Abstract

The application relates to the technical field of grinding control, in particular to a grinding control method and system for high-performance polyurea adhesive production. The method comprises the following steps: collecting temperature, viscosity, power and rotating speed during A-component grinding; determining a crushing efficiency factor at each moment based on the difference between the viscosity, the power and a reference value; obtaining a particle size distribution index based on an initial influence weight, the crushing efficiency factor and the rotating speed; further obtaining an optimal influence weight by iteration in combination with a reference distribution width, and calculating the particle size distribution index at each moment based on the optimal influence weight; adjusting the rotating speed based on the difference between the temperature and a reference temperature, and the difference between the particle size distribution index and the reference distribution width; controlling the grinding process based on the adjusted rotating speed until the grinding is completed, obtaining the A-component after vacuum dehydration, and obtaining the high-performance polyurea adhesive by combining the A-component and a B-component. The application improves production precision.

Description

Technical Field

[0001] This application relates to the field of grinding control technology, specifically to a grinding control method and system for the production of high-performance polyurea adhesives. Background Technology

[0002] High-performance polyurea adhesives are high-performance bonding materials made from polyurea resin as a matrix, with the addition of functional fillers and additives such as nano-silicon and fumed silica. This material possesses characteristics such as high bonding strength, excellent chemical corrosion resistance, strong aging resistance, and wide temperature adaptability, and is currently widely used in various fields such as building waterproofing, industrial corrosion protection, and rail transportation. In its production process, the grinding step after dispersion is a key step. This step uses grinding equipment to apply mechanical force to further break down and refine the filler particles in the slurry, while simultaneously promoting their uniform dispersion within the polyurea matrix. The core objective of this step is to control the filler particle size to achieve a preset fine standard, thereby ensuring the stability of the material's performance.

[0003] In the traditional polyurea adhesive production process, the grinding stage typically uses a preset fixed rotation speed without any control or adjustment. Based on initial experience, the particle size is only verified offline after the grinding process to ensure it meets requirements. Because the changes in particle state during grinding are not considered, this can easily lead to an excessively wide particle size distribution, failing to achieve the required fineness and resulting in defects in the final polyurea adhesive product. Summary of the Invention

[0004] To address the technical problem of insufficient production precision, this application provides a grinding control method and system for the production of high-performance polyurea adhesives. The specific technical solution adopted is as follows: In a first aspect, this application proposes a grinding control method for the production of high-performance polyurea adhesives, the method comprising the following steps: After the raw material of component A is stirred, it enters the grinding stage, and the temperature, viscosity, power and rotation speed are collected at each moment by sensors; The crushing efficiency factor at each moment is determined based on the ratio of viscosity to reference viscosity and the ratio of power to reference power. Set initial influence weights, adjust the reference distribution width based on crushing efficiency factor and rotation speed to obtain particle size distribution index; iterate the influence weights based on particle size distribution index and reference distribution width to obtain optimal influence weights, and then recalculate the particle size distribution index to obtain the particle size distribution index at each time step. The reference rotation speed is adjusted based on the difference between the current temperature and the reference temperature, and the difference between the particle size distribution index and the reference distribution width to obtain the adjusted rotation speed at the current moment; The rotation speed is controlled at each moment by adjusting the rotation speed until the grinding is completed. Then, the material is vacuum dehydrated to obtain component A. The raw material of component B is stirred to obtain component B. Component B and component A are combined to obtain a high-performance polyurea adhesive.

[0005] In the above scheme, this application first uses the coupling relationship between motor power and system viscosity to calculate the initial crushing efficiency factor, measure the efficiency of particle crushing during grinding, and use it as the basis for adjusting the grinding speed. Then, it introduces the fluctuation of the speed to indirectly reflect the fluctuation of the shear rate, calculates the particle size distribution index, measures the uniformity of particle size, and finally considers the temperature effect caused by grinding, so that the grinding speed increases or decreases with the temperature rise and fall and the particle size state changes. Thus, at low temperature, the speed is increased to compensate for the increase in viscosity, at high temperature, the speed is reduced to prevent particle agglomeration, when the particle size distribution is too wide, the speed is reduced to prolong the dispersion time, and when the distribution is too narrow, the speed is increased to avoid over-shearing. Finally, the particles are ground to the target fineness and the narrow distribution is maintained, which improves the particle precision and thus improves the production precision.

[0006] In one embodiment, the mass fraction of aspartic ester resin in component A is 45%, the mass fraction of amine chain extender is 1.5%, the mass fraction of functional additives is 2%, the mass fraction of filler is 50%, and the mass fraction of yellow paste is 1.5%; the mass fraction of 9.28% isocyanate prepolymer in component B is 55%, the mass fraction of filler is 44%, and the mass fraction of blue paste is 1%.

[0007] In one embodiment, the expression for the crushing efficiency factor is: , This represents the power at the current moment. Indicates reference power. Indicates the viscosity at the current moment. Indicates the reference viscosity. This represents the viscosity correction factor. This represents the crushing efficiency factor.

[0008] In one embodiment, the expression for the particle size distribution index is: , Indicates the reference distribution width. This represents the crushing efficiency factor. This represents the absolute value of the difference between the current rotational speed and the reference rotational speed. Indicates the reference speed. This indicates the weight of the initial efficiency on the distribution width. This indicates the weight of the effect of rotational speed fluctuations on the distribution width. This represents the particle size distribution index.

[0009] In one embodiment, the sum of the squared differences between the particle size distribution index and the reference distribution width is used as the objective function, and a preset number of crushing efficiency factors and rotation speeds are set. An optimization algorithm is then used to iteratively obtain the optimal influence weights.

[0010] In one embodiment, the adjustment rotation speed is negatively correlated with the difference between the current temperature and the reference temperature, and positively correlated with the difference between the particle size distribution index and the reference distribution width.

[0011] In one embodiment, the expression for adjusting the rotational speed is: , Indicates the reference speed. This indicates the temperature at the current moment. Indicates reference temperature. This represents the particle size distribution index at the current moment. Indicates the reference distribution width. Indicates the temperature correction factor. This represents the anti-aggregation weighting coefficient. This represents an exponential function with the natural constant as its base. This indicates that the rotation speed is being adjusted.

[0012] In one embodiment, after component A is ground, a vacuum is applied. and dehydrate Component A is obtained after 20-30 minutes of stirring. Component B is obtained by stirring the raw materials of Component B for 20-30 minutes. Component A and Component B are then mixed in a 1:1 ratio to obtain a high-performance polyurea adhesive.

[0013] In one embodiment, the reference power and reference viscosity are obtained experimentally after setting a preset temperature and rotation speed; the reference distribution width is obtained by the particle size span.

[0014] Secondly, embodiments of this application also provide a grinding control system for the production of high-performance polyurea adhesives, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of the grinding control method for the production of high-performance polyurea adhesives described above.

[0015] The beneficial effects of this application are as follows: This application first calculates the initial crushing efficiency factor using the coupling relationship between motor power and system viscosity to measure the efficiency of particle crushing during grinding, serving as the basis for adjusting the grinding speed. Then, it introduces the fluctuation of the speed to indirectly reflect the fluctuation of the shear rate, calculates the particle size distribution index to measure the uniformity of particle size, and finally considers the temperature effect caused by grinding, so that the grinding speed increases or decreases with temperature rise and fall and particle size changes. This allows for increasing the speed at low temperatures to compensate for the increase in viscosity, decreasing the speed at high temperatures to prevent particle agglomeration, slowing down to prolong the dispersion time when the particle size distribution is too wide, and increasing the speed to avoid over-shearing when the distribution is too narrow. Ultimately, it stabilizes the grinding of particles to the target fineness and maintains a narrow distribution, improving particle precision and thus improving production accuracy. Attached Figure Description

[0016] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of a grinding control method for producing high-performance polyurea adhesives, provided as an embodiment of this application. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a grinding control method and system for the production of high-performance polyurea adhesives proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0020] An embodiment of a grinding control method and system for the production of high-performance polyurea adhesives: The following description, in conjunction with the accompanying drawings, details a specific scheme for a grinding control method for the production of high-performance polyurea adhesives provided in this application.

[0021] Please see Figure 1 The diagram illustrates a process flow chart of a grinding control method for producing high-performance polyurea adhesives according to an embodiment of this application. The method includes the following steps: Step S001: During the grinding of component A, temperature, viscosity, power, and rotation speed are collected.

[0022] The polyurea adhesive consists of two components, A and B. Component A includes aspartic acid ester resin, amine chain extender, functional additives, fillers, and yellow paste; component B includes 9.28% isocyanate prepolymer, fillers, and blue paste.

[0023] The composition of component A consists of 45% aspartic acid ester resin, 1.5% amine chain extender, 2% functional additives, 50% filler, and 1.5% yellow paste.

[0024] Add the aspartic ester resin, chain extender, and additives according to the mass fraction, and stir at low speed for 20-30 minutes at a speed of 400-600 rpm. Then add the yellow paste, filler, and functional filler, and stir at high speed for 30-60 minutes at a speed of 1200-1500 rpm. After stirring, proceed to the grinding process.

[0025] During the grinding process, sensors are placed inside the grinding chamber to collect data on temperature, viscosity, power, and rotational speed. In this embodiment, the temperature is sampled at a frequency of 5 Hz, the viscosity at a frequency of 10 Hz, and the power and rotational speed at a frequency of 50 Hz.

[0026] The main controller generates a pulse every preset time interval. Each sensor receives the pulse and samples according to its own sampling frequency. The collected data is timestamped using an interpolation algorithm, and each pulse is used as a sampling moment. In this embodiment, a pulse is generated every 10ms.

[0027] At this point, we have obtained different data for each time window.

[0028] Step S002: Determine the crushing efficiency factor at each moment based on the differences in viscosity, power, and reference values.

[0029] In the initial stage of grinding, the particle size is relatively large and the system viscosity is relatively low. At this time, the grinding efficiency is mainly affected by shear stress. Because grinding requires sufficient external force to overcome the structural strength of the particles, and lower viscosity reduces friction between the grinding media (grind beads), the shear stress transmitted by the grinding media (grind beads) is more easily applied to large particles. The greater the shear stress, the easier it is to break through the particle crushing threshold; conversely, the smaller the shear stress, the more difficult it is to crush large particles. Shear stress is positively correlated with motor power and negatively correlated with media viscosity. This application measures the particle crushing efficiency through the relationship between power and viscosity.

[0030] First, a reference viscosity and reference power are determined. Since both viscosity and power are affected by temperature and rotation speed, the reference viscosity and reference power are reasonable values ​​for grinding. In this embodiment, experiments confirmed that when the target temperature is 50 degrees Celsius and the rotation speed is the rated speed of 1500 rpm, the measured viscosity and reference power are the reference viscosity and reference power.

[0031] Since viscosity has a non-linear effect on crushing efficiency rather than a simple linear one, crushing efficiency is obtained through particle size analysis. Multiple sets of data are then acquired by varying power and crushing efficiency, and a viscosity correction factor is obtained through least-squares fitting. The viscosity correction factor ranges from 0.8 to 1.2. In this embodiment, the viscosity correction factor is 0.9.

[0032] The crushing efficiency factor is determined based on the ratio of viscosity to reference viscosity at each time point, the ratio of power to reference power, and the viscosity correction factor.

[0033] Preferably, in this embodiment, the expression for the crushing efficiency factor is: , This represents the power at the current moment. Indicates reference power. Indicates the viscosity at the current moment. Indicates the reference viscosity. This represents the viscosity correction factor. This represents the crushing efficiency factor.

[0034] The higher the power, the greater the theoretical shear force. The ratio of this ratio to the reference power reflects the energy input intensity; a higher value indicates stronger crushing ability. Viscosity reflects the consistency of the polyurea system. Changes in viscosity affect the efficiency of shear stress transmission. Comparing this ratio to the reference viscosity reflects the impact of viscosity changes on shear stress transmission efficiency; a higher value indicates more efficient shear stress transmission, because lower viscosity results in less energy loss.

[0035] The higher the value of the crushing efficiency factor, the higher the crushing efficiency compared to the reference value, that is, the higher the motor output power or the lower the viscosity of the medium, the higher the shearing force transmission efficiency; conversely, the lower the value, the lower the crushing efficiency, that is, the insufficient power or the excessively high viscosity, and the lower the shearing stress transmission efficiency.

[0036] Thus, the breaking efficiency factor at each moment has been obtained.

[0037] Step S003: Based on the initial influence weight, the particle size distribution index is obtained by combining the crushing efficiency factor and rotation speed; then, the optimal influence weight is obtained by iteratively combining the reference distribution width, and the particle size distribution index at each time step is calculated accordingly.

[0038] As grinding progresses and the particle size approaches the target particle size, it's necessary to consider the particle size distribution width, which is the degree of dispersion of particle size in the grinding system. The larger the value, the more significant the difference in particle size and the less uniform the dispersion. An excessively large particle size distribution width may cause some particles to fail to reach the target fineness, resulting in over-grinding or premature agglomeration, directly affecting product performance.

[0039] The particle size distribution width is affected by both the initial crushing efficiency and the fluctuation of the shear rate. The higher the initial crushing efficiency factor, the more uniform the particle crushing in the early stage, which will result in a smaller particle size distribution width. On the other hand, the greater the fluctuation of the shear rate, the more unstable the local shear force during the grinding process will be, resulting in some places being too strong and some places being too weak, which in turn widens the difference in particle size and increases the particle size distribution width.

[0040] Therefore, it is necessary to improve the initial crushing efficiency to enhance the uniformity of particle crushing and suppress shear rate fluctuations to avoid widening of the particle size distribution width. Firstly, the reference particle size distribution width is measured using the particle size span (Span), with a value ranging from 0.5 to 0.8; in this embodiment, it is set to 0.6. The particle size distribution index is then obtained by adjusting the reference distribution width based on the crushing efficiency factor and rotational speed.

[0041] Preferably, the expression for the particle size distribution index is: , Indicates the reference distribution width. This represents the crushing efficiency factor. This represents the absolute value of the difference between the current rotational speed and the reference rotational speed. Indicates the reference speed. This indicates the weight of the initial efficiency on the distribution width. This indicates the weight of the effect of rotational speed fluctuations on the distribution width. This represents the particle size distribution index. The reference rotation speed is set to 1500 rpm in this embodiment.

[0042] The strength of the convergence effect of the crushing efficiency factor on the distribution width is as follows: the larger the value, the more significant the decrease in distribution width under the same crushing efficiency factor, meaning that the efficiency is higher in the early stage of grinding and the distribution is more uniform in the middle stage. The strength of the influence of rotation speed fluctuation on the distribution width is as follows: the larger the value, the more significant the increase in distribution width under the same rotation speed fluctuation, meaning that the more unstable the rotation speed, the easier it is for the particle size distribution to widen.

[0043] Therefore, multiple sets of data are needed to optimize and obtain the optimal influence weights. and The initial values ​​are 1 and 0.5, respectively. After calculating the particle size distribution index, the sum of squared differences between it and the reference distribution width is used as the objective function, and the index is adjusted through an iterative algorithm. and The optimal values ​​are determined to minimize the objective function. Since a single set of factors is prone to getting trapped in local optimization, multiple sets of crushing efficiency factors and the current rotational speed are iteratively analyzed to obtain the optimal parameter values. In this embodiment, nine sets of crushing efficiency factors and the current rotational speed are set. By substituting the optimal parameter values, the particle size distribution index at each time step is obtained. The larger the particle size distribution index, the greater the difference in particle size, which is more likely to lead to a decrease in product performance. In this case, it is more necessary to improve the initial crushing efficiency to enhance the initial crushing and reduce the residue of large particles; or reduce the rotation speed fluctuation to reduce the particle size dispersion caused by shear fluctuation.

[0044] Thus, the particle size distribution index at each time point was obtained.

[0045] Step S004: Adjust the rotation speed based on the difference between the temperature and the reference temperature, the difference between the particle size distribution index and the reference distribution width.

[0046] Based on the above steps, the particle size distribution index can be obtained at each moment. Because the shear friction between the grinding media and the material during the grinding process continuously generates heat, the viscosity of the system decreases, thus reducing the shear force's constraint on the particles. Particles that are close to the target fineness may re-agglomerate due to collisions, resulting in larger particle sizes and wider distributions. When the temperature decreases, the system viscosity increases, and the shear force transmission efficiency decreases, easily leading to insufficient grinding and difficulty in achieving the target fineness. Therefore, the effect of temperature needs to be considered when controlling the rotation speed.

[0047] Therefore, the reference rotation speed is adjusted based on the difference between the current temperature and the reference temperature, and the difference between the particle size distribution index and the reference distribution width to obtain the adjusted rotation speed at the current moment.

[0048] The adjusted rotation speed is negatively correlated with the difference between the current temperature and the reference temperature, and positively correlated with the difference between the particle size distribution index and the reference distribution width.

[0049] It should be noted that positive correlation means that when one variable increases, the other variable also increases, and the two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large. The specific relationship is determined by the actual application, and this application does not impose any special restrictions.

[0050] It should be noted that negative correlation means that when one variable increases, the other variable decreases accordingly, and the two variables change in opposite directions. When one variable changes from large to small or from small to large, the other variable also changes from small to large or from large to small. The specific relationship is determined by practical application, and this application does not impose any special restrictions.

[0051] Preferably, in this embodiment, the expression for adjusting the rotational speed is: , Indicates the reference speed. This indicates the temperature at the current moment. Indicates reference temperature. This represents the particle size distribution index at the current moment. Indicates the reference distribution width. Indicates the temperature correction factor. This represents the anti-aggregation weighting coefficient. This represents an exponential function with the natural constant as its base. This indicates that the rotation speed is being adjusted. In this embodiment, the reference temperature is 50 degrees Celsius.

[0052] The temperature correction coefficient quantifies the effect of temperature on rotational speed using an exponential function. When the system temperature is higher than the reference temperature, the system viscosity will be lower, and the exponential term should decrease to reduce the rotational speed and avoid excessive shearing that could lead to particle agglomeration. When the system temperature is lower than the reference temperature, the exponential term should increase to increase the rotational speed, compensating for the reduced shear force due to increased viscosity and preventing insufficient grinding and potential agglomeration caused by insufficient shear force. Its value range is... In this embodiment, the value is taken as .

[0053] The anti-agglomeration weighting coefficient adjusts the influence of particle size distribution width on rotational speed. When the particle size distribution index is greater than the reference distribution width, the distribution is too wide and particle agglomeration is likely to occur. In this case, this factor should be decreased to reduce rotational speed and extend residence time, thereby suppressing secondary agglomeration caused by local over-shearing. When the particle size distribution index is less than the reference distribution width, the distribution is too narrow. In this case, this factor should be increased to shorten residence time while maintaining dispersion, reducing the risk of particle re-agglomeration caused by excessive shearing or prolonged friction, and avoiding energy waste. Its value ranges from 0.3 to 0.5, and in this embodiment, it is set to 0.4.

[0054] At this point, the adjusted rotation speed has been obtained.

[0055] Step S005: Grinding is completed by controlling the grinding based on the adjusted rotation speed. After vacuum dehydration, component A is obtained. Component A and component B are combined to obtain a high-performance polyurea adhesive.

[0056] Based on the above steps, the rotation speed is adjusted and controlled at each moment until the particle size is 20 micrometers, and then a vacuum is applied. Dehydration After 10 minutes, a performance test was conducted. Once all components passed the test, they were passed through 80-mesh silk and packaged to obtain component A. In this embodiment, a vacuum of 110 degrees Celsius was applied, and dehydration was carried out for 90 minutes.

[0057] Component B consists of 55% isocyanate prepolymer (9.28%), 44% filler, and 1% blue paste. The three raw materials of component B are added to the mixture and stirred for 20-30 minutes to obtain component B. In this embodiment, the stirring time is 20 minutes.

[0058] Mix component A and component B in a 1:1 ratio to obtain a high-performance polyurea adhesive.

[0059] This application verifies the results through comparative examples. For Example 1, the grinding speed of component A was controlled using the process flow of this scheme; for Comparative Example 1, component A was ground at a fixed speed of 800 rpm; for Comparative Example 2, component A was ground at a fixed speed of 1200 rpm; and for Comparative Example 3, component A was ground at a fixed speed of 1600 rpm. Table 1 shows the results.

[0060] Table 1 Comparison of Grinding Effects The comparison in the table shows that a fixed grinding speed cannot meet the grinding requirements of each stage. At low speeds, insufficient shear force leads to increased particle agglomeration. At medium speeds, the shear force is increased, but this leads to higher temperatures, and the uneven shear force in some areas causes a wider particle size distribution and increased agglomeration. At high speeds, the excessive shear force, although resulting in a smaller average particle size, leads to high temperatures, causing a wider particle size distribution and particle agglomeration, which in turn leads to a decrease in the viscosity properties of the finished polyurea adhesive.

[0061] Based on the same inventive concept as the above method, this embodiment of the invention also provides a grinding control system for the production of high-performance polyurea adhesives, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described grinding control methods for the production of high-performance polyurea adhesives.

[0062] It should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

[0063] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A grinding control method for the production of high-performance polyurea adhesives, characterized in that, The method includes the following steps: After the raw material of component A is stirred, it enters the grinding stage, and the temperature, viscosity, power and rotation speed are collected at each moment by sensors; The crushing efficiency factor at each moment is determined based on the ratio of viscosity to reference viscosity and the ratio of power to reference power. Set initial influence weights, adjust the reference distribution width based on crushing efficiency factor and rotation speed to obtain particle size distribution index; iterate the influence weights based on particle size distribution index and reference distribution width to obtain optimal influence weights, and then recalculate the particle size distribution index to obtain the particle size distribution index at each time step. The reference rotation speed is adjusted based on the difference between the current temperature and the reference temperature, and the difference between the particle size distribution index and the reference distribution width to obtain the adjusted rotation speed at the current moment; The rotation speed is adjusted at each moment until grinding is completed, then vacuum dehydration is performed to obtain component A; the raw material of component B is stirred to obtain component B; component B and component A are combined to obtain a high-performance polyurea adhesive. Component A comprises 45% aspartic acid ester resin, 1.5% amine chain extender, 2% functional additives, 50% filler, and 1.5% yellow paste; Component B comprises 55% isocyanate prepolymer (9.28%), 44% filler, and 1% blue paste. The expression for the particle size distribution index is: , Indicates the reference distribution width. This represents the crushing efficiency factor. This represents the absolute value of the difference between the current rotational speed and the reference rotational speed. Indicates the reference speed. This indicates the weight of the initial efficiency on the distribution width. This indicates the weight of the effect of rotational speed fluctuations on the distribution width. This represents the particle size distribution index.

2. The grinding control method for the production of high-performance polyurea adhesives as described in claim 1, characterized in that, The expression for the crushing efficiency factor is: , This represents the power at the current moment. Indicates reference power. Indicates the viscosity at the current moment. Indicates the reference viscosity. This represents the viscosity correction factor. This represents the crushing efficiency factor.

3. The grinding control method for the production of high-performance polyurea adhesives as described in claim 1, characterized in that, Using the sum of squared differences between the particle size distribution index and the reference distribution width as the objective function, and setting a preset number of crushing efficiency factors and rotation speeds, the optimization algorithm iteratively obtains the optimal influence weights by applying the influence weights.

4. The grinding control method for the production of high-performance polyurea adhesives as described in claim 1, characterized in that, The adjusted rotation speed is negatively correlated with the difference between the current temperature and the reference temperature, and positively correlated with the difference between the particle size distribution index and the reference distribution width.

5. The grinding control method for the production of high-performance polyurea adhesives as described in claim 4, characterized in that, The expression for adjusting the rotational speed is: , Indicates the reference speed. This indicates the temperature at the current moment. Indicates reference temperature. This represents the particle size distribution index at the current moment. Indicates the reference distribution width. Indicates the temperature correction factor. This represents the anti-aggregation weighting coefficient. This represents an exponential function with the natural constant as its base. This indicates that the rotation speed is being adjusted.

6. The grinding control method for the production of high-performance polyurea adhesives as described in claim 1, characterized in that, After component A is ground, a vacuum is drawn. and dehydrate Component A is obtained after 20-30 minutes of stirring. Component B is obtained by stirring the raw materials of Component B for 20-30 minutes. Component A and Component B are then mixed in a 1:1 ratio to obtain a high-performance polyurea adhesive.

7. The grinding control method for the production of high-performance polyurea adhesives as described in claim 1, characterized in that, The reference power and reference viscosity were obtained experimentally after setting the temperature and rotation speed; the reference distribution width was obtained by the particle size span.

8. A grinding control system for the production of high-performance polyurea adhesives, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the grinding control method for producing high-performance polyurea adhesives as described in any one of claims 1-7.

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