Preparation system and method of antibacterial sharpened filaments

Abstract

The invention discloses a preparation system and method of antibacterial sharpened filaments, relates to the technical field of preparation of the antibacterial sharpened filaments, and aims to solve the technical problem that in the prior art, in the production process of the antibacterial sharpened filaments, an antibacterial agent is dispersed unevenly, and the antibacterial performance is unstable due to proportion adjustment lag. Comprising the following steps: S1, uniformly mixing a polymer raw material and a guanidine antibacterial agent in a raw material pretreatment unit according to a preset proportion; s2, conveying the uniformly mixed raw materials to a melt extrusion unit, heating and melting the raw materials, and extruding the raw materials through an extruder to form filaments; s3, the extruded filaments are introduced into a cooling forming unit, and the filaments are cooled in an air cooling and water cooling combined mode so that the filaments can be cured and formed; s4, feeding the cured and formed filaments into a sharpening treatment unit, and performing sharpening treatment to obtain sharpened filaments; and S5, transferring the sharpened wires to a post-treatment unit, and carrying out post-treatment operations of washing and drying. The method has the advantage that the stability of the antibacterial property of the antibacterial sharpened filaments is improved.

Description

Technical Field

[0001] This invention relates to the field of antibacterial ground wire preparation technology, and more specifically, to a system and method for preparing antibacterial ground wire. Background Technology

[0002] In the field of antibacterial fiber material preparation, antibacterial pointed filaments, due to their combination of antibacterial properties and sharp structure, are widely used in industries that come into contact with the human body, such as cosmetic brushes, false eyelashes, and wigs. However, existing technologies for preparing antibacterial pointed filaments generally suffer from technical problems such as uneven dispersion of antibacterial agents in the polymer matrix and the inability to dynamically adjust the ratio according to the characteristics of different polymer raw materials, resulting in unstable antibacterial performance.

[0003] Specifically, in traditional preparation processes, the mixing of antibacterial agents and polymer raw materials lacks precise interfacial parameter evaluation and molecular dynamics simulation, making it difficult to predict their compatibility. This leads to the antibacterial agent easily agglomerating during the melt extrusion stage. At the same time, process parameter adjustment relies on experience-based settings and cannot be dynamically optimized based on real-time feedback from raw material characteristics and antibacterial effects. This results in significant differences in antibacterial performance between different batches of products, severely restricting the industrial application of antibacterial ground wire. In view of this, we propose a preparation system and method for antibacterial ground wire. Summary of the Invention

[0004] The purpose of this invention is to provide a system and method for preparing antibacterial ground filaments, so as to solve the technical problems of uneven dispersion of antibacterial agents and lag in ratio adjustment during the production of antibacterial ground filaments in the prior art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for preparing antibacterial abrasive tips, comprising the following steps: S1. Mix the polymer raw materials and guanidine antibacterial agents evenly in the raw material pretreatment unit according to the preset ratio; S2. The uniformly mixed raw materials are conveyed to the melt extrusion unit, heated and melted, and then extruded through an extruder to form filaments; S3. The extruded filament is introduced into the cooling and forming unit, and the filament is cooled by a combination of air cooling and water cooling to solidify and form the filament. S4. The solidified filament is fed into the grinding unit for grinding to obtain a sharpened filament; S5. Transfer the tapered wire to the post-processing unit for washing and drying. S6. The antibacterial performance of the antibacterial ground wire is tested using an antibacterial detection unit. A learning model is established based on the relationship between historical data of the preparation process and the antibacterial effect. The ratio of guanidine antibacterial agent to polymer raw material is adjusted in reverse according to the characteristics of different polymer raw materials. S7. The operating parameters of the raw material pretreatment unit, melt extrusion unit, cooling and forming unit, grinding and sharpening unit, post-treatment unit and antibacterial detection unit are controlled by the control unit to ensure the preparation quality of antibacterial ground wire.

[0006] A system for preparing antibacterial abrasive tips includes a raw material pretreatment unit, a melt extrusion unit, a cooling and forming unit, an abrasive tipping unit, a post-treatment unit, an antibacterial detection unit, and a control unit connected in sequence. An antibacterial detection unit, connected to the post-processing unit, is used to detect the antibacterial performance of the antibacterial ground wire, determine whether it meets the preset antibacterial standard, and establish a learning model based on the relationship between historical data of the preparation process and the antibacterial effect, and adjust the ratio of guanidine antibacterial agent to polymer raw material in reverse according to the characteristics of different polymer raw materials.

[0007] Preferably, the raw material pretreatment unit includes: Polymer raw material storage tanks are used to store polymer raw materials; Guanidine antimicrobial agent storage tank, used for storing guanidine antimicrobial agents; A metering device is connected to the polymer raw material storage tank and the guanidine antibacterial agent storage tank respectively, and is used to accurately measure the amount of polymer raw material and guanidine antibacterial agent used; A mixing device, connected to the metering device, is used to mix the metered polymer raw material and guanidine antibacterial agent evenly. The interface parameter pre-evaluation module is connected to the metering device and the mixing device. It is used to calculate the interfacial tension and compatibility parameters during the raw material mixing process according to the polymer raw material type and the preset guanidine antibacterial agent ratio, and transmit the data to the control unit. The molecular dynamics simulation module, connected to the interface parameter pre-evaluation module, simulates the dynamic interaction between the polymer and the antibacterial agent under different temperature and pressure conditions based on the molecular structure of the polymer and the antibacterial agent, predicts the adsorption-desorption behavior of the antibacterial agent in the polymer matrix, and feeds the simulation data back to the control unit.

[0008] Preferably, the melt extrusion unit is used to heat and melt the uniformly mixed raw materials and extrude them into filaments through an extruder. The extruder is equipped with a temperature control module, a shear rate adjustment module, an antibacterial agent dispersion monitoring module, a pressure control module, and a flow field analysis module. The temperature control module is used to control the temperature of each heating section of the extruder within the melting temperature range of the polymer raw material. The shear rate adjustment module is used to adjust the screw speed in real time during the mixing process of polymer raw materials and guanidine antibacterial agents based on the data transmitted by the melt viscosity and interface parameter pre-evaluation module of polymer raw materials. The antibacterial agent dispersion monitoring module uses an online laser scattering instrument to monitor the particle size distribution and agglomeration of the antibacterial agent in the polymer melt in real time, and feeds the data back to the control unit; The pressure control module is used to adjust the pressure inside the extruder, and in conjunction with temperature and shear rate, control the migration and distribution of the antibacterial agent in the melt; The flow field analysis module collects real-time data on the velocity and direction of melt flow through a micro-sensor array installed inside the extruder. It combines this data with temperature and pressure field data to construct a multi-physics coupling model and transmits the analysis results to the control unit to collaboratively optimize various process parameters.

[0009] Preferably, the cooling and forming unit is used to cool the extruded filaments and solidify them. It adopts a cooling method that combines air cooling and water cooling. Air cooling is used to initially cool down the high-temperature filaments that have just been extruded, while water cooling is used to further reduce the temperature of the filaments and make them solidify and form quickly. The cooling molding unit is also equipped with a cooling rate control module, which adjusts the water temperature and water flow rate of the water cooling according to the crystallization characteristics of the polymer raw material and the dispersion state of the antibacterial agent. The cooling and forming unit is also equipped with an environmental parameter monitoring module, which is used to monitor the humidity and temperature parameters of the cooling environment in real time and feed the data back to the control unit. The cooling rate control module calculates the target cooling rate based on the polymer crystallization kinetics equation, and then adjusts the water flow rate of the water cooler accordingly.

[0010] Preferably, the sharpening unit is used to sharpen the cured filament to obtain sharpened filament, and includes a sharpening device, wherein the surface of the sharpening tool of the sharpening device is coated with a wear-resistant coating material that does not react with guanidine antibacterial agents. The grinding and sharpening unit is also equipped with a traction speed coordination adjustment module, which is connected to the control unit. Based on the melt strength of the polymer raw material, the amount of antibacterial agent added, and the rotation speed of the grinding tool, the traction speed is coordinated and optimized to keep the amount of antibacterial agent enriched at the fiber tip within the target range.

[0011] Preferably, the post-processing unit is used to wash and dry the antibacterial abrasive filaments, and a neutral detergent is used in the washing process; The post-processing unit is also equipped with an antibacterial agent protection treatment module, which performs surface treatment on the tapered filaments after washing based on the chemical characteristics of the polymer raw materials.

[0012] Preferably, the antibacterial detection unit includes a data modeling and ratio adjustment module, used for: Collect historical data during the preparation process, including polymer raw material type, ratio of guanidine antimicrobial agent to polymer raw material, operating parameters of each unit, and antimicrobial test results; Identify polymer raw material types and establish learning models for different types of polymer raw materials based on the relationship between corresponding historical data and antibacterial effects; Based on the output results of each learning model, the metering devices for guanidine antibacterial agents and polymer raw materials in the raw material pretreatment unit are adjusted by the control unit to adjust the ratio of the two. A multi-dimensional correlation model of "polymer crystallinity - antibacterial agent dispersibility - grinding process parameters" was constructed. Based on this model, the antibacterial performance under different parameter combinations was predicted, and the operating parameters of each unit were coordinated and regulated. By combining molecular dynamics simulation data and multiphysics coupling models, the learning model is optimized to improve the prediction accuracy of antibacterial performance.

[0013] Preferably, the control unit includes a data acquisition module, a data analysis module, and a control command output module. The data acquisition module is used to collect temperature, pressure, and speed parameters during the operation of each unit. The data analysis module is used to analyze and process the collected data. The control command output module sends control commands to each unit based on the analysis results. The control unit is also equipped with a cross-scale correlation control module, which is used to integrate the data from the interface parameter pre-evaluation module, the antibacterial agent dispersion monitoring module, and the multi-dimensional correlation model to achieve cross-scale collaborative control of "raw material characteristics-processing parameters-antibacterial performance". The control unit is also equipped with a multi-objective optimization module. The multi-objective optimization module is based on a genetic algorithm and takes energy consumption, production efficiency and product quality as optimization objectives. According to the real-time collected data and preset weights, it generates the optimal adjustment scheme of process parameters of each unit and executes it through the control command output module. The genetic algorithm of the multi-objective optimization module optimizes process parameters iteratively through selection, crossover, and mutation operations by constructing a fitness function.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention constructs a cross-scale collaborative control system of "raw material characteristics - processing parameters - antibacterial performance". Based on the historical data learning model and multi-dimensional correlation model of the antibacterial detection unit, the ratio of guanidine antibacterial agent can be adjusted in reverse according to the characteristics of different polymer raw materials. Through online laser scattering monitoring and flow field analysis of the melt extrusion unit, the uniform dispersion of antibacterial agent in polymer melt is achieved, which fundamentally solves the problem of unstable antibacterial performance caused by uneven antibacterial agent dispersion and lag in ratio adjustment in the prior art.

[0015] 2. The present invention also uses a multi-objective optimization module of the control unit to perform weighted optimization of energy consumption, production efficiency and product quality based on a genetic algorithm. Combined with the crystallization kinetic equation of the cooling forming unit to regulate the cooling rate, the invention reduces production energy consumption and improves production efficiency while ensuring antibacterial performance. This further solves the problem of energy waste and low efficiency caused by independent parameter control in traditional processes.

[0016] 3. The present invention also improves the durability of antibacterial agents by designing a coordinated adjustment mechanism between the antibacterial agent protection module of the post-treatment unit and the traction speed of the grinding unit. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system framework of the present invention; Figure 2 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0018] To facilitate understanding of the technical solution of the present invention by those skilled in the art, the technical solution of the present invention will now be further described in conjunction with the accompanying drawings.

[0019] Example 1, such as Figure 1 As shown, the present invention provides a system for preparing antibacterial abrasive tips, comprising: The raw material pretreatment unit is used to store polymer raw materials and guanidine antibacterial agents, and to mix the polymer raw materials and guanidine antibacterial agents evenly according to a preset ratio; The melt extrusion unit, connected to the raw material pretreatment unit, is used to heat and melt the uniformly mixed raw materials and extrude them through an extruder to form filaments; The cooling and forming unit, connected to the melt extrusion unit, is used to cool the extruded filaments and solidify them into shape. The sharpening unit, connected to the cooling and forming unit, is used to sharpen the solidified filaments to obtain sharpened filaments; The post-processing unit, connected to the tipping treatment unit, is used for post-processing operations such as washing and drying of antibacterial tipping filaments. The antibacterial detection unit, connected to the post-processing unit, is used to test the antibacterial performance of the antibacterial ground wire, determine whether it meets the preset antibacterial standard, and establish a learning model based on the relationship between historical data of the preparation process and the antibacterial effect, and adjust the ratio of guanidine antibacterial agent to polymer raw material in reverse according to the characteristics of different polymer raw materials. The control unit is connected to the raw material pretreatment unit, melt extrusion unit, cooling and forming unit, grinding and sharpening unit, post-processing unit and antibacterial detection unit respectively, and is used to control the operating parameters of each unit to ensure the preparation quality of antibacterial ground wire.

[0020] In an embodiment of the present invention, the raw material pretreatment unit includes: Polymer raw material storage tanks are used to store polymer raw materials; Guanidine antimicrobial agent storage tank, used for storing guanidine antimicrobial agents; Metering devices are connected to polymer raw material storage tanks and guanidine antibacterial agent storage tanks respectively, and are used to accurately measure the amount of polymer raw materials and guanidine antibacterial agents used; A mixing device, connected to a metering device, is used to mix the metered polymer raw materials and guanidine antibacterial agents evenly. The interface parameter pre-evaluation module is connected to the metering device and the mixing device. It is used to calculate the interfacial tension and compatibility parameters during the raw material mixing process according to the polymer raw material type and the preset guanidine antibacterial agent ratio, and transmit the data to the control unit. The molecular dynamics simulation module, connected to the interface parameter pre-evaluation module, simulates the dynamic interaction between the polymer and the antibacterial agent under different temperature and pressure conditions based on the molecular structure of the polymer and the antibacterial agent, predicts the adsorption-desorption behavior of the antibacterial agent in the polymer matrix, and feeds the simulation data back to the control unit. The interface parameter pre-evaluation module provides data support for subsequent process adjustments by calculating parameters such as interface tension. Its calculation of interface tension... The formula is as follows: ; in, , Polymers Guanidine antibacterial agents Surface tension, , For Lifshitz-VanderWaals components, , , , Lewis acid-base ratio; The molecular dynamics simulation module uses molecular dynamics equations to analyze the dynamic interaction between the antibacterial agent and polymer molecules. The molecular dynamics equations are as follows: ; in, It acts on the first Forces on molecules It is the first The mass of a molecule It is the first The position vector of each molecule By iteratively solving the equation, we can obtain the position and velocity of the molecule at different times, where time is the constant.

[0021] In an embodiment of the present invention, the extruder of the melt extrusion unit is equipped with a temperature control module, a shear rate adjustment module, an antibacterial agent dispersion monitoring module, a pressure control module, and a flow field analysis module. The temperature control module is used to control the temperature of each heating section of the extruder within the melting temperature range of the polymer raw material, and to ensure that the guanidine antibacterial agent does not decompose or deteriorate during the extrusion process; The shear rate adjustment module is used to adjust the screw speed in real time during the mixing process of polymer raw materials and guanidine antibacterial agents based on the data transmitted by the pre-evaluation module of the melt viscosity and interface parameters of polymer raw materials, thereby optimizing the dispersion state of the antibacterial agent in the polymer melt. The antibacterial agent dispersion monitoring module uses an online laser scattering instrument to monitor the particle size distribution and agglomeration of the antibacterial agent in the polymer melt in real time, and feeds the data back to the control unit; The pressure control module is used to regulate the pressure inside the extruder, and in conjunction with temperature and shear rate, control the migration and distribution of the antibacterial agent in the melt; The flow field analysis module collects real-time data on the velocity and direction of melt flow through a miniature sensor array installed inside the extruder. Combined with temperature and pressure field data, it constructs a multi-physics coupling model and transmits the analysis results to the control unit to collaboratively optimize various process parameters. melt viscosity The screw speed is determined by calculating using the Cross model and then based on the calculation results. ; The formula for calculating melt viscosity is: ,in, Zero shear viscosity For infinite shear viscosity, For shear rate, For relaxation time, Non-Newtonian exponents; The formula for calculating screw speed is: ,in, For adjustment coefficients, The target melt viscosity, The viscosity change threshold, The base screw speed; The multiphysics coupled model constructed by the flow field analysis module is based on the Navier-Stokes equations and solved by combining the temperature field equations and pressure field data. The relevant formulas are as follows: Navier-Stokes equations: ; in, The density of the melt. It is a velocity vector. For time, For pressure, For dynamic viscosity, External force; Temperature field equation: ; in For specific heat capacity, For temperature, Thermal conductivity, It serves as an internal heat source.

[0022] In an embodiment of the present invention, the cooling and forming unit adopts a cooling method that combines air cooling and water cooling. Air cooling is used to initially cool down the high-temperature filament that has just been extruded, while water cooling is used to further reduce the temperature of the filament so that it can be quickly solidified and formed. The cooling molding unit is also equipped with a cooling rate control module. The cooling rate control module adjusts the water temperature and water flow rate of the water cooling according to the crystallization characteristics of the polymer raw material and the dispersion state of the antibacterial agent, so as to control the crystallinity of the polymer and the fixed state of the antibacterial agent. The cooling molding unit is also equipped with an environmental parameter monitoring module, which monitors the humidity and temperature parameters of the cooling environment in real time and feeds the data back to the control unit. The cooling rate control module calculates the target cooling rate based on the polymer crystallization kinetics equation, and then adjusts the water flow rate of the water cooler accordingly. The specific formula is as follows: Polymer crystallization kinetics equation: ; in, for Crystallization at any given moment The crystallization rate constant is The Avrami index is used to derive the relationship between cooling rate and crystallinity by differentiating the equation, thereby determining the target cooling rate. ; Water flow velocity regulation formula: ; in, Based on the basic water flow velocity, For adjustment coefficients, This represents the currently measured cooling rate.

[0023] In an embodiment of the present invention, the sharpening unit includes a sharpening device, wherein the surface of the sharpening tool of the sharpening device is coated with a wear-resistant coating material that does not react with guanidine antibacterial agents; The grinding unit is also equipped with a traction speed coordination adjustment module, which is connected to the control unit. Based on the melt strength of the polymer raw material, the amount of antibacterial agent added, and the rotation speed of the grinding tool, the traction speed is coordinated and optimized to keep the amount of antibacterial agent enriched at the fiber tip within the target range. The traction speed coordination adjustment module calculates the traction speed according to the following formula. This formula takes into account factors such as melt strength, amount of antibacterial agent added, and grinding tool speed: ; in, The initial traction speed, For melt strength, This refers to the amount of antibacterial agent added. The rotational speed of the grinding tool. , , The corresponding weighting coefficients are determined through training with historical data.

[0024] In an embodiment of the present invention, the washing process of the post-treatment unit uses a neutral detergent and the washing temperature does not exceed 50°C, so as to avoid damaging the antibacterial properties of the guanidine antibacterial agent in the antibacterial abrasive filament. The post-processing unit is also equipped with an antibacterial agent protection module, which performs surface treatment on the tapered filaments after washing based on the chemical properties of the polymer raw materials.

[0025] In an embodiment of the present invention, the antibacterial detection unit includes: A sample collection device is used to obtain test samples from the antibacterial ground wire after processing in the post-processing unit; The testing instrument is connected to the sample sampling device and is used to test the antibacterial properties of the test sample. The antibacterial testing method of the testing instrument adopts the oscillation method, absorption method or other testing methods that meet the antibacterial testing standards. The results analysis device is connected to the testing instrument to analyze the test data and compare the test results with the preset antibacterial standards. The feedback device is connected to the result analysis device and the control unit. When the test result does not meet the preset standard, the feedback device sends an adjustment command to the control unit. The data modeling and proportioning adjustment module is connected to the result analysis device, control unit, and metering device of the raw material pretreatment unit, and is used for: Collect historical data during the preparation process, including polymer raw material type, ratio of guanidine antimicrobial agent to polymer raw material, operating parameters of each unit, and antimicrobial test results; Identify polymer raw material types and establish learning models for different types of polymer raw materials based on the relationship between corresponding historical data and antibacterial effects; Based on the output results of each learning model, the metering devices for guanidine antibacterial agents and polymer raw materials in the raw material pretreatment unit are adjusted by the control unit to adjust the ratio of the two. A multi-dimensional correlation model of "polymer crystallinity - antibacterial agent dispersibility - grinding process parameters" was constructed. Based on this model, the antibacterial performance under different parameter combinations was predicted, and the operating parameters of each unit were coordinated and regulated. By combining molecular dynamics simulation data and multiphysics coupling models, the learning model is optimized to improve the prediction accuracy of antibacterial performance; The learning model constructed by the data modeling and proportioning adjustment module adopts a backpropagation neural network. It derives the output value through a specific calculation formula and optimizes the model using an error backpropagation algorithm. The specific calculation formula is as follows: Output layer calculation formula: ; in, For the first The output value of each output node For the hidden layer The node to the output layer The connection weights of each node. For the hidden layer The output value of each node, For the output layer The bias of each node This represents the number of hidden layer nodes. The multi-dimensional correlation model of "polymer crystallinity-antimicrobial agent dispersibility-grinding process parameters" adopts a multiple linear regression equation. The regression coefficients are determined by fitting historical data using the least squares method to predict antimicrobial performance. The equation is as follows: ; in, As an indicator of antibacterial performance, The independent variables are polymer crystallinity, antibacterial agent dispersibility, or grinding process parameters. For the corresponding regression coefficients, This is the error term.

[0026] In an embodiment of the present invention, the control unit includes a data acquisition module, a data analysis module, and a control command output module. The data acquisition module is used to acquire temperature, pressure, and speed parameters during the operation of each unit. The data analysis module is used to analyze and process the acquired data. The control command output module sends control commands to each unit according to the analysis results. The control unit is also equipped with a cross-scale correlation control module, which integrates data from the interface parameter pre-evaluation module, the antibacterial agent dispersion monitoring module, and the multi-dimensional correlation model to achieve cross-scale collaborative control of "raw material characteristics - processing parameters - antibacterial performance". The control unit is also equipped with a multi-objective optimization module. Based on a genetic algorithm, the multi-objective optimization module takes energy consumption, production efficiency and product quality as optimization objectives. According to the real-time collected data and preset weights, it generates the optimal adjustment scheme of process parameters of each unit and executes it through the control command output module. The genetic algorithm of the multi-objective optimization module optimizes process parameters iteratively through selection, crossover, and mutation operations by constructing a fitness function. fitness function The structure is as follows: ; in, , , These are the weighting coefficients for product quality, production efficiency, and energy consumption, respectively. The target antibacterial performance index, This refers to the actual antibacterial performance indicators. This refers to the actual production time. For standard production time, For standard energy consumption, This refers to actual energy consumption.

[0027] Example 2: A method for preparing an antibacterial abrasive tip, comprising the following steps: S1. Mix the polymer raw materials and guanidine antibacterial agents evenly in the raw material pretreatment unit according to the preset ratio; S2. The uniformly mixed raw materials are conveyed to the melt extrusion unit, heated and melted, and then extruded through an extruder to form filaments; S3. The extruded filament is introduced into the cooling and forming unit, and the filament is cooled by a combination of air cooling and water cooling to solidify and form the filament. S4. The solidified filament is fed into the grinding unit for grinding to obtain a sharpened filament; S5. Transfer the tapered wire to the post-processing unit for washing and drying. S6. The antibacterial performance of the antibacterial ground wire is tested using an antibacterial detection unit. A learning model is established based on the relationship between historical data of the preparation process and the antibacterial effect. The ratio of guanidine antibacterial agent to polymer raw material is adjusted in reverse according to the characteristics of different polymer raw materials. S7. The operating parameters of the raw material pretreatment unit, melt extrusion unit, cooling and forming unit, grinding and sharpening unit, post-treatment unit and antibacterial detection unit are controlled by the control unit to ensure the preparation quality of antibacterial ground wire.

[0028] The embodiments disclosed in this invention are preferred embodiments, but are not limited thereto. Those skilled in the art can easily understand the spirit of this invention based on the above embodiments and make different extensions and variations, but as long as they do not depart from the spirit of this invention, they are all within the protection scope of this invention.

Claims

1. A method for preparing an antibacterial ground wire, characterized in that, Includes the following steps: S1. Mix the polymer raw materials and guanidine antibacterial agents evenly in the raw material pretreatment unit according to the preset ratio; S2. The uniformly mixed raw materials are conveyed to the melt extrusion unit, heated and melted, and then extruded through an extruder to form filaments; S3. The extruded filament is introduced into the cooling and forming unit, and the filament is cooled by a combination of air cooling and water cooling to solidify and form the filament. S4. The solidified filament is fed into the grinding unit for grinding to obtain a sharpened filament; S5. Transfer the tapered wire to the post-processing unit for washing and drying. S6. The antibacterial performance of the antibacterial ground wire is tested using an antibacterial detection unit. A learning model is established based on the relationship between historical data of the preparation process and the antibacterial effect. The ratio of guanidine antibacterial agent to polymer raw material is adjusted in reverse according to the characteristics of different polymer raw materials. S7. The operating parameters of the raw material pretreatment unit, melt extrusion unit, cooling and forming unit, grinding and sharpening unit, post-treatment unit and antibacterial detection unit are controlled by the control unit to ensure the preparation quality of antibacterial ground wire.

2. A system applied to the preparation method of the antibacterial abrasive tip as described in claim 1, characterized in that, It includes a raw material pretreatment unit, a melt extrusion unit, a cooling and forming unit, a sharpening unit, a post-treatment unit, an antibacterial detection unit, and a control unit connected in sequence; An antibacterial detection unit, connected to the post-processing unit, is used to detect the antibacterial performance of the antibacterial ground wire, determine whether it meets the preset antibacterial standard, and establish a learning model based on the relationship between historical data of the preparation process and the antibacterial effect, and adjust the ratio of guanidine antibacterial agent to polymer raw material in reverse according to the characteristics of different polymer raw materials.

3. The system for preparing antibacterial abrasive tips according to claim 2, characterized in that, The raw material pretreatment unit includes: Polymer raw material storage tanks are used to store polymer raw materials; Guanidine antimicrobial agent storage tank, used for storing guanidine antimicrobial agents; A metering device is connected to the polymer raw material storage tank and the guanidine antibacterial agent storage tank respectively, and is used to accurately measure the amount of polymer raw material and guanidine antibacterial agent used; A mixing device, connected to the metering device, is used to mix the metered polymer raw material and guanidine antibacterial agent evenly. The interface parameter pre-evaluation module is connected to the metering device and the mixing device. It is used to calculate the interfacial tension and compatibility parameters during the raw material mixing process according to the polymer raw material type and the preset guanidine antibacterial agent ratio, and transmit the data to the control unit. The molecular dynamics simulation module, connected to the interface parameter pre-evaluation module, simulates the dynamic interaction between the polymer and the antibacterial agent under different temperature and pressure conditions based on the molecular structure of the polymer and the antibacterial agent, predicts the adsorption-desorption behavior of the antibacterial agent in the polymer matrix, and feeds the simulation data back to the control unit.

4. The system for preparing antibacterial pointed filaments according to claim 3, characterized in that, The melt extrusion unit is used to heat and melt the uniformly mixed raw materials and extrude them into filaments through an extruder. The extruder is equipped with a temperature control module, a shear rate adjustment module, an antibacterial agent dispersion monitoring module, a pressure control module, and a flow field analysis module. The temperature control module is used to control the temperature of each heating section of the extruder within the melting temperature range of the polymer raw material. The shear rate adjustment module is used to adjust the screw speed in real time during the mixing process of polymer raw materials and guanidine antibacterial agents based on the data transmitted by the melt viscosity and interface parameter pre-evaluation module of polymer raw materials. The antibacterial agent dispersion monitoring module uses an online laser scattering instrument to monitor the particle size distribution and agglomeration of the antibacterial agent in the polymer melt in real time, and feeds the data back to the control unit; The pressure control module is used to adjust the pressure inside the extruder, and in conjunction with temperature and shear rate, control the migration and distribution of the antibacterial agent in the melt; The flow field analysis module collects real-time data on the velocity and direction of melt flow through a micro-sensor array installed inside the extruder. It combines this data with temperature and pressure field data to construct a multi-physics coupling model and transmits the analysis results to the control unit to collaboratively optimize various process parameters.

5. The system for preparing antibacterial ground wire according to claim 4, characterized in that, The cooling and forming unit is used to cool the extruded filaments and solidify them. It adopts a cooling method that combines air cooling and water cooling. Air cooling is used to initially cool down the high-temperature filaments that have just been extruded, while water cooling is used to further reduce the temperature of the filaments and make them solidify and form quickly. The cooling molding unit is also equipped with a cooling rate control module, which adjusts the water temperature and water flow rate of the water cooling according to the crystallization characteristics of the polymer raw material and the dispersion state of the antibacterial agent. The cooling and forming unit is also equipped with an environmental parameter monitoring module, which is used to monitor the humidity and temperature parameters of the cooling environment in real time and feed the data back to the control unit. The cooling rate control module calculates the target cooling rate based on the polymer crystallization kinetics equation, and then adjusts the water flow rate of the water cooler accordingly.

6. The system for preparing antibacterial pointed filaments according to claim 5, characterized in that, The grinding unit is used to grind the solidified filaments to obtain sharpened filaments. It includes a grinding device, and the surface of the grinding tool of the grinding device is coated with a wear-resistant coating material that does not react with guanidine antibacterial agents. The grinding and sharpening unit is also equipped with a traction speed coordination adjustment module, which is connected to the control unit. Based on the melt strength of the polymer raw material, the amount of antibacterial agent added, and the rotation speed of the grinding tool, the traction speed is coordinated and optimized to keep the amount of antibacterial agent enriched at the fiber tip within the target range.

7. The system for preparing antibacterial pointed filaments according to claim 6, characterized in that, The post-processing unit is used to wash and dry the antibacterial abrasive filaments, and a neutral detergent is used in the washing process. The post-processing unit is also equipped with an antibacterial agent protection treatment module, which performs surface treatment on the tapered filaments after washing based on the chemical characteristics of the polymer raw materials.

8. The system for preparing antibacterial pointed filaments according to claim 7, characterized in that, The antibacterial detection unit includes a data modeling and ratio adjustment module, used for: Collect historical data during the preparation process, including polymer raw material type, ratio of guanidine antimicrobial agent to polymer raw material, operating parameters of each unit, and antimicrobial test results; Identify polymer raw material types and establish learning models for different types of polymer raw materials based on the relationship between corresponding historical data and antibacterial effects; Based on the output results of each learning model, the metering devices for guanidine antibacterial agents and polymer raw materials in the raw material pretreatment unit are adjusted by the control unit to adjust the ratio of the two. A multi-dimensional correlation model of "polymer crystallinity - antibacterial agent dispersibility - grinding process parameters" was constructed. Based on this model, the antibacterial performance under different parameter combinations was predicted, and the operating parameters of each unit were coordinated and regulated. By combining molecular dynamics simulation data and multiphysics coupling models, the learning model is optimized to improve the prediction accuracy of antibacterial performance.

9. The system for preparing antibacterial pointed filaments according to claim 8, characterized in that, The control unit includes a data acquisition module, a data analysis module, and a control command output module. The data acquisition module is used to collect temperature, pressure, and speed parameters during the operation of each unit. The data analysis module is used to analyze and process the collected data. The control command output module sends control commands to each unit based on the analysis results. The control unit is also equipped with a cross-scale correlation control module, which is used to integrate the data from the interface parameter pre-evaluation module, the antibacterial agent dispersion monitoring module, and the multi-dimensional correlation model to achieve cross-scale collaborative control of "raw material characteristics-processing parameters-antibacterial performance". The control unit is also equipped with a multi-objective optimization module. The multi-objective optimization module is based on a genetic algorithm and takes energy consumption, production efficiency and product quality as optimization objectives. According to the real-time collected data and preset weights, it generates the optimal adjustment scheme of process parameters of each unit and executes it through the control command output module. The genetic algorithm of the multi-objective optimization module optimizes process parameters iteratively through selection, crossover, and mutation operations by constructing a fitness function.

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