Novel non-woven air purification cloth and preparation method and system thereof

Abstract

The invention relates to the technical field of air purification, and discloses novel non-woven air purification cloth and a preparation method thereof.The preparation method comprises the steps that the agglomeration force of a graphene raw material is calculated, the graphene raw material is dispersed into a dispersion solvent, and a graphene solvent is obtained; defining a graphene solvent and a polymer adhesive and a mixed additive of the pretreated fly ash raw material; mixing a graphene solvent, the pretreated fly ash raw material, a polymer binder and a mixed additive to obtain a composite slurry, identifying the base material characteristics of the non-woven fabric base material, defining the intelligent soaking function of the non-woven fabric base material, and performing intelligent soaking of the non-woven fabric base material in the composite slurry to obtain a slurry-soaked non-woven fabric base material; and performing heat treatment on the slurry-soaked non-woven fabric base material to obtain a heat-treated non-woven fabric base material, calculating the slurry curing strength of the heat-treated non-woven fabric base material, and performing post-treatment on the heat-treated non-woven fabric base material to obtain the target non-woven fabric air purification cloth. The purification effect of the non-woven air purification cloth can be improved.

Description

Technical Field

[0001] The invention relates to a novel non-woven air purification cloth and a preparation method and system thereof, belonging to the technical field of air purification. Background Art

[0002] Non-woven air purifier cloth refers to a product made of non-woven fabric materials and specially used for air purification. Non-woven air purifier cloth has been widely used in the field of air purification due to its high efficiency filtering performance, low cost and environmental protection characteristics. With the enhancement of people's environmental awareness and the improvement of indoor air quality requirements, the market demand for non-woven air purifier cloth is also growing.

[0003] Traditional methods for preparing non-woven air purification fabrics usually rely on empirical operations, which involve manually mixing raw materials, simply stirring and dispersing graphene and fly ash, and then manually applying or soaking the non-woven fabric substrate, followed by heat treatment and post-treatment. The entire process lacks precise parameter control and automated processes, which increases human errors and environmental pollution, resulting in poor results for non-woven air purification fabrics. Summary of the invention

[0004] The present invention provides a novel non-woven air purification cloth and a preparation method and system thereof, the main purpose of which is to improve the purification effect of the non-woven air purification cloth.

[0005] To achieve the above object, the present invention provides a novel non-woven air purification cloth and a preparation method thereof, comprising:

[0006] Obtaining a graphene raw material and a fly ash raw material of a non-woven fabric substrate, calculating the agglomeration force of the graphene raw material, defining an ultrasonic dispersion parameter of the graphene raw material based on the agglomeration force, and dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameter to obtain a graphene solvent;

[0007] Pretreating the fly ash raw material to obtain a pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets a preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material;

[0008] Identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics;

[0009] According to the mixing ratio, the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid are mixed to obtain a composite slurry, the substrate properties of the non-woven fabric substrate are identified, the intelligent foaming function of the non-woven fabric substrate is defined based on the substrate properties, and the intelligent foaming of the non-woven fabric substrate in the composite slurry is performed based on the intelligent foaming function to obtain a slurry-foamed non-woven fabric substrate;

[0010] The slurry-soaked non-woven fabric substrate is heat-treated to obtain a heat-treated non-woven fabric substrate, and the slurry solidification strength of the heat-treated non-woven fabric substrate is calculated. When the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-treated to obtain a target non-woven air purification fabric.

[0011] Optionally, the calculating the agglomeration force of the graphene raw material comprises:

[0012] Preliminarily dispersing the graphene raw material to obtain dispersed graphene;

[0013] Identifying a particle size distribution range of the dispersed graphene;

[0014] Defining a TEM sample of the dispersed graphene according to the particle size distribution range;

[0015] Analyzing the aggregation state of the dispersed graphene using the TEM sample;

[0016] Based on the aggregation state, the aggregation force of the dispersed graphene is calculated.

[0017] Optionally, the calculating the agglomeration force of the dispersed graphene based on the agglomeration state comprises:

[0018] Based on the agglomeration state, defining the particle radius and particle distance of the dispersed graphene;

[0019] Calculating the equivalent radius of curvature of the dispersed graphene according to the particle radius and the particle distance;

[0020] The agglomeration force of the dispersed graphene is calculated by the equivalent radius of curvature using the following formula:

[0021]

[0022] Among them, F vdw represents the agglomeration force of dispersed graphene, π represents the circumference, d represents the minimum value of the corresponding particle distance of dispersed graphene, R represents the equivalent radius of curvature of dispersed graphene, and A represents the Hamaker constant.

[0023] Optionally, dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent comprises:

[0024] Integrating the graphene raw material into the dispersion solvent to obtain a graphene mixed solvent;

[0025] Based on the ultrasonic dispersion parameters, using a preset ultrasonic disperser to ultrasonically disperse the graphene mixed solvent to obtain a first dispersed graphene solvent;

[0026] Recording dispersion data of the first dispersed graphene solvent, and analyzing a dispersion coefficient of the first dispersed graphene solvent according to the dispersion data;

[0027] According to the dispersion coefficient, the ultrasonic dispersion parameters are optimized to obtain optimized ultrasonic dispersion parameters;

[0028] Based on the optimized ultrasonic dispersion parameters, the first dispersed graphene solvent is dispersed twice to obtain a second dispersed graphene solvent;

[0029] identifying a solvent mass of the second dispersed graphene solvent;

[0030] The solvent mass of the second dispersed graphene solvent is filtered to obtain the graphene solvent

[0031] Optionally, the calculating the purity coefficient of the pretreated fly ash raw material includes:

[0032] identifying the chemical composition of the pretreated fly ash raw material;

[0033] marking a target component of the chemical component and identifying the component content of the target component;

[0034] defining a baseline content of the target ingredient;

[0035] defining the purity weight of said chemical constituent;

[0036] Based on the component content, the reference content and the purity weight, the purity coefficient of the pretreated fly ash raw material is calculated using the following formula:

[0037]

[0038] Where P represents the purity coefficient of pretreated fly ash raw materials, S a represents the content of the ath chemical component of the pretreated fly ash raw material, J a represents the reference content of the ath chemical component of the pretreated fly ash raw material, ω aIt represents the purity weight of the ath chemical component of the pretreated fly ash raw material, and n represents the number of the corresponding chemical components of the pretreated fly ash raw material.

[0039] Optionally, outputting the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing aid characteristics, comprises:

[0040] Identify the key characteristics of the ratio and mixing of the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing auxiliary agent characteristics;

[0041] Analyzing the characteristic multicollinearity of the key characteristics of the ratio mixture;

[0042] When the feature multicollinearity meets the preset feature multicollinearity standard, the initial mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid is output using the ratio model according to the ratio mixing key feature;

[0043] According to the initial mixing ratio, establishing a simulated composite slurry of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid;

[0044] Calculating the slurry performance loss of the simulated composite slurry;

[0045] The initial mixing ratio is optimized through the slurry performance loss to obtain the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid.

[0046] Optionally, the intelligent soaking function of the non-woven fabric substrate is defined based on the substrate characteristics, including:

[0047] Determining an intelligent soaking target of the nonwoven fabric substrate;

[0048] Defining intelligent foaming parameters of the nonwoven fabric substrate according to the substrate characteristics and the intelligent foaming target;

[0049] Determining the influence coefficient of the intelligent soaking parameter;

[0050] According to the influence coefficient and the intelligent soaking parameter, the intelligent soaking function of the non-woven fabric substrate is defined.

[0051] Optionally, defining the intelligent bubbling function of the non-woven fabric substrate according to the influence coefficient and the intelligent bubbling parameter includes:

[0052] According to the influence coefficient and the intelligent bubbling parameter, the intelligent bubbling function of the non-woven fabric substrate is defined by the following formula:

[0053]

[0054] Among them, F(t,T,C,D) represents the intelligent soaking function, H represents the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, t represents the intelligent soaking parameter corresponding to the soaking time, T represents the intelligent soaking parameter corresponding to the soaking temperature, C represents the intelligent soaking parameter corresponding to the composite slurry concentration, D represents the intelligent soaking parameter corresponding to the soaking pressure, k1 represents the influence coefficient of the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, k2 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking time, e represents the exponential function, k3 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking temperature, C represents the influence coefficient of the intelligent soaking parameter corresponding to the composite slurry concentration, and D represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking pressure.

[0055] Optionally, the calculating the slurry curing strength of the heat-treated non-woven fabric substrate comprises:

[0056] Obtaining a substrate sample of the heat-treated nonwoven fabric substrate;

[0057] applying a compressive force to the substrate sample;

[0058] identifying a substrate sample behavior of the substrate sample under the compressive force;

[0059] establishing a force-displacement curve of the substrate sample according to the behavior of the substrate sample;

[0060] Based on the force-displacement curve, the slurry curing strength of the heat-treated nonwoven fabric substrate is calculated.

[0061] In order to solve the above problems, the present invention also provides a novel non-woven air purification cloth and a preparation system thereof, the system comprising:

[0062] A graphene raw material dispersion module, used to obtain the graphene raw material and the fly ash raw material of the non-woven fabric substrate, calculate the agglomeration force of the graphene raw material, define the ultrasonic dispersion parameters of the graphene raw material based on the agglomeration force, and disperse the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent;

[0063] A fly ash pretreatment module, used for pretreating the fly ash raw material to obtain the pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets the preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material;

[0064] A mixing ratio output module is used to identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics;

[0065] A non-woven fabric intelligent soaking module, for mixing the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid according to the mixing ratio to obtain a composite slurry, identifying the substrate properties of the non-woven fabric substrate, defining an intelligent soaking function of the non-woven fabric substrate based on the substrate properties, and performing intelligent soaking of the non-woven fabric substrate in the composite slurry based on the intelligent soaking function to obtain a slurry-soaked non-woven fabric substrate;

[0066] The purification cloth construction module is used to heat-treat the slurry-soaked non-woven fabric substrate to obtain the heat-treated non-woven fabric substrate, calculate the slurry curing strength of the heat-treated non-woven fabric substrate, and when the slurry curing strength meets the preset slurry curing strength standard, post-treat the heat-treated non-woven fabric substrate to obtain the target non-woven air purification cloth.

[0067] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0068] at least one processor; and,

[0069] a memory communicatively connected to the at least one processor; wherein,

[0070] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned new type of non-woven air purification cloth and its preparation method.

[0071] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned new type of non-woven air purification cloth and its preparation method.

[0072] Compared with the problems described in the background technology, the present invention calculates the cohesion force of the graphene raw material and can provide a basis for the subsequent dispersion of the graphene raw material; the present invention defines the ultrasonic dispersion parameters of the graphene raw material based on the cohesion force to ensure that the ultrasonic dispersion parameters match the cohesion force of the graphene raw material, thereby achieving efficient and uniform graphene dispersion; further, the present invention disperses the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent, which can obtain a uniformly dispersed graphene solvent and lay a good foundation for subsequent applications. Furthermore, the present invention calculates the purity coefficient of the pretreated fly ash raw material to evaluate the purity of the pretreated fly ash raw material and provide a basis for the subsequent non-woven fabric. Furthermore, the present invention identifies the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive characteristics and the mixing auxiliary agent characteristics, which can comprehensively identify and characterize the characteristics of each component, thereby providing a basis for the air purification of non-woven fabrics. The preparation of chemical cloth provides a scientific basis. Further, according to the characteristics of the graphene solvent, the characteristics of the fly ash raw material, the characteristics of the polymer adhesive and the characteristics of the mixing auxiliary agent, the mixed ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent can be output by using a trained ratio model to improve the mixing effect, thereby improving the effect of the non-woven fabric. Next, the present invention identifies the substrate characteristics of the non-woven fabric substrate, and defines the intelligent soaking function of the non-woven fabric substrate based on the substrate characteristics. The soaking parameters can be automatically adjusted according to the characteristics of the non-woven fabric substrate, thereby achieving efficient and accurate substrate processing. The present invention heat-treats the non-woven fabric substrate soaked in the slurry to obtain a heat-treated non-woven fabric substrate, which can solidify the polymer adhesive and enhance the structural stability of the material. Finally, when the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-processed to obtain the target non-woven fabric air purification cloth, and the final high-performance non-woven fabric air purification cloth can be obtained. Therefore, the present invention can improve the purification effect of the non-woven fabric air purification cloth. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A schematic diagram of a novel non-woven air purification cloth and a preparation method thereof provided in one embodiment of the present invention;

[0074] Figure 2 A functional module diagram of a novel non-woven air purification cloth and a preparation system thereof provided in one embodiment of the present invention;

[0075] Figure 3 A schematic diagram of the structure of an electronic device of a novel non-woven air purification cloth and a preparation system thereof provided in one embodiment of the present invention;

[0076] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0077] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0078] The embodiment of the present application provides a new type of non-woven air purification cloth and a method for preparing the same. The execution subject of the new type of non-woven air purification cloth and the method for preparing the same includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the new type of non-woven air purification cloth and the method for preparing the same can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0079] Embodiment 1:

[0080] Reference Figure 1 FIG. 1 is a schematic diagram of a novel non-woven air purification cloth and a preparation method thereof provided in one embodiment of the present invention. In this embodiment, the novel non-woven air purification cloth and the preparation method thereof include:

[0081] S1. Obtaining a graphene raw material and a fly ash raw material of a non-woven fabric substrate, calculating the agglomeration force of the graphene raw material, defining ultrasonic dispersion parameters of the graphene raw material based on the agglomeration force, and dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent.

[0082] The non-woven fabric substrate refers to the bottom material used to prepare air purification cloth, which is a non-woven fabric. The graphene raw material refers to graphene and its derivatives. Graphene is a two-dimensional material formed by a single layer of carbon atoms arranged in a hexagonal honeycomb shape. The fly ash raw material refers to the fine solid particles produced after coal combustion, which is an industrial by-product.

[0083] The calculation of the agglomeration force of the graphene raw material in the present invention can provide a basis for the subsequent dispersion of the graphene raw material.

[0084] In detail, the calculating the agglomeration force of the graphene raw material comprises:

[0085] Preliminarily dispersing the graphene raw material to obtain dispersed graphene;

[0086] Identifying a particle size distribution range of the dispersed graphene;

[0087] Defining a TEM sample of the dispersed graphene according to the particle size distribution range;

[0088] Analyzing the aggregation state of the dispersed graphene using the TEM sample;

[0089] Based on the aggregation state, the aggregation force of the dispersed graphene is calculated.

[0090] Among them, the dispersed graphene refers to the graphene material after preliminary dispersion treatment, the particle size distribution range refers to the size range of the dispersed graphene particles, including the minimum particle size, the maximum particle size and the width of the particle size distribution, the TEM sample refers to the graphene sample used for transmission electron microscopy (Transmission Electron Microscopy) analysis, the agglomeration state refers to the degree of aggregation of graphene sheets in the dispersion medium, and the agglomeration force refers to the aggregation tendency caused by the interaction force between graphene sheets.

[0091] Optionally, the identification of the particle size distribution range of the dispersed graphene is determined using a particle size analyzer (such as a dynamic light scattering instrument or a laser diffraction particle size analyzer).

[0092] Further, the calculating the agglomeration force of the dispersed graphene based on the agglomeration state comprises:

[0093] Based on the agglomeration state, defining the particle radius and particle distance of the dispersed graphene;

[0094] Calculating the equivalent radius of curvature of the dispersed graphene according to the particle radius and the particle distance;

[0095] The agglomeration force of the dispersed graphene is calculated by the equivalent radius of curvature using the following formula:

[0096]

[0097] Among them, F vdw represents the agglomeration force of dispersed graphene, π represents the circumference, d represents the minimum value of the corresponding particle distance of dispersed graphene, R represents the equivalent radius of curvature of dispersed graphene, and A represents the Hamaker constant.

[0098] Among them, the particle radius refers to the radius of a single graphene sheet, the particle distance refers to the average distance between two adjacent graphene sheets, the equivalent radius of curvature refers to the parameter describing the bending characteristics of the bulk graphene surface, and the Hamaker constant refers to the description of the interaction energy between two solid surfaces in a specific medium (such as air or water).

[0099] Based on the cohesion force, the present invention defines the ultrasonic dispersion parameters of the graphene raw material to ensure that the ultrasonic dispersion parameters match the cohesion force of the graphene raw material, thereby achieving efficient and uniform graphene dispersion. The ultrasonic dispersion parameters include ultrasonic frequency, ultrasonic power, ultrasonic time, temperature, dispersant and other parameters.

[0100] The present invention disperses the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent, and a uniformly dispersed graphene solvent can be obtained, laying a good foundation for subsequent applications.

[0101] In detail, the step of dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent comprises:

[0102] Integrating the graphene raw material into the dispersion solvent to obtain a graphene mixed solvent;

[0103] Based on the ultrasonic dispersion parameters, using a preset ultrasonic disperser to ultrasonically disperse the graphene mixed solvent to obtain a first dispersed graphene solvent;

[0104] Recording dispersion data of the first dispersed graphene solvent, and analyzing a dispersion coefficient of the first dispersed graphene solvent according to the dispersion data;

[0105] According to the dispersion coefficient, the ultrasonic dispersion parameters are optimized to obtain optimized ultrasonic dispersion parameters;

[0106] Based on the optimized ultrasonic dispersion parameters, the first dispersed graphene solvent is dispersed twice to obtain a second dispersed graphene solvent;

[0107] identifying a solvent mass of the second dispersed graphene solvent;

[0108] The solvent agglomerates of the second dispersed graphene solvent are filtered to obtain the graphene solvent.

[0109] Among them, the graphene mixed solvent refers to a preliminary mixed system formed after adding graphene raw materials to the dispersion solvent, the ultrasonic disperser refers to an experimental equipment for generating ultrasonic waves, the first dispersed graphene solvent refers to the graphene solvent after the first ultrasonic dispersion treatment, the dispersion data refers to the data recorded during the ultrasonic dispersion process, including dispersion time, ultrasonic power, frequency, solvent temperature, dispersion state of graphene and other data, the dispersion coefficient refers to a parameter used to quantify the degree of dispersion of graphene in the solvent, the optimized ultrasonic dispersion parameter refers to the parameter for adjusting the original ultrasonic dispersion parameter according to the dispersion data and analysis results of the first dispersed graphene solvent to obtain a better dispersion effect, the second dispersed graphene solvent refers to the graphene solvent after the second ultrasonic dispersion treatment using the optimized ultrasonic dispersion parameter, and its dispersion degree should be better than the first dispersed graphene solvent, the solvent agglomerate refers to the larger agglomerates or undispersed graphene particles that may exist in the second dispersed graphene solvent, and the graphene solvent refers to the final product obtained after filtering and removing the solvent agglomerates.

[0110] Optionally, the dispersion coefficient of the first dispersed graphene solvent may be analyzed through the dispersion data to determine the polydispersity index (PDI) of the first dispersed graphene solvent.

[0111] S2. Pretreating the fly ash raw material to obtain a pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets a preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material.

[0112] It should be explained that the pretreated fly ash raw material refers to fly ash that has been subjected to a series of physical or chemical treatment steps to improve its performance or adapt it to specific application requirements. In detail, the pretreatment of the fly ash raw material includes screening, drying, magnetic separation, chemical treatment and other operations.

[0113] The purity coefficient of the pretreated fly ash raw material is calculated by the present invention to evaluate the purity of the pretreated fly ash raw material and provide a basis for the subsequent non-woven fabric.

[0114] In detail, the calculation of the purity coefficient of the pretreated fly ash raw material includes:

[0115] identifying the chemical composition of the pretreated fly ash raw material;

[0116] marking a target component of the chemical component and identifying the component content of the target component;

[0117] defining a baseline content of the target ingredient;

[0118] defining the purity weight of said chemical constituent;

[0119] Based on the component content, the reference content and the purity weight, the purity coefficient of the pretreated fly ash raw material is calculated using the following formula:

[0120]

[0121] Where P represents the purity coefficient of pretreated fly ash raw materials, S a represents the content of the ath chemical component of the pretreated fly ash raw material, J a represents the reference content of the ath chemical component of the pretreated fly ash raw material, ω a It represents the purity weight of the ath chemical component of the pretreated fly ash raw material, and n represents the number of the corresponding chemical components of the pretreated fly ash raw material.

[0122] Among them, the chemical composition refers to various chemical elements or compounds in fly ash raw materials, such as silicate, aluminum oxide, iron oxide, calcium oxide, etc., the component content refers to the actual content of each chemical component in the fly ash raw materials, the benchmark content refers to the ideal or target content of each chemical component in the fly ash raw materials, the purity weight refers to the importance or weight of each chemical component in the purity evaluation, and the purity coefficient refers to the purity of the pretreated fly ash raw materials.

[0123] Definition: The graphene solvent and the polymer binder of the pretreated fly ash raw material refer to a macromolecular compound used to bond two or more materials together to provide structural strength and stability. The present invention uses polyacrylamide, and the mixing aid refers to a class of chemical additives used to improve or change specific properties in the material mixing process.

[0124] S3. Identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model based on the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics.

[0125] The present invention identifies the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, which can comprehensively identify and characterize the characteristics of each component, thereby providing a scientific basis for the preparation of non-woven air purification cloth. Among them, the graphene solvent characteristics include appearance, density, polarity, boiling point and other characteristics, the fly ash raw material characteristics include particle size distribution, specific surface area, chemical composition and other characteristics, the polymer adhesive characteristics include molecular weight, glass transition temperature, viscosity and other characteristics, and the mixing auxiliary agent characteristics include function, compatibility and other characteristics.

[0126] The present invention outputs the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the characteristics of the graphene solvent, the fly ash raw material, the polymer adhesive and the mixing auxiliary agent, thereby improving the mixing effect and thus improving the effect of the non-woven fabric.

[0127] In detail, the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid is outputted using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing aid characteristics, including:

[0128] Identify the key characteristics of the ratio and mixing of the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing auxiliary agent characteristics;

[0129] Analyzing the characteristic multicollinearity of the key characteristics of the ratio mixture;

[0130] When the feature multicollinearity meets the preset feature multicollinearity standard, the initial mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid is output using the ratio model according to the ratio mixing key feature;

[0131] According to the initial mixing ratio, establishing a simulated composite slurry of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid;

[0132] Calculating the slurry performance loss of the simulated composite slurry;

[0133] The initial mixing ratio is optimized through the slurry performance loss to obtain the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid.

[0134] Among them, the key characteristics of the ratio mixing refer to the characteristics that have a significant impact on the performance of the final product when determining the mixing ratio. These characteristics may include the physical properties of each component (such as viscosity, particle size, density), chemical properties (such as chemical composition, functional groups), and process parameters (such as mixing temperature, mixing time), the characteristic multicollinearity refers to the high correlation between multiple independent variables (characteristics) in multivariate statistical analysis, the characteristic multicollinearity standard refers to a set of preset standards or thresholds used to determine whether there is multicollinearity between features, the initial mixing ratio refers to the preliminary estimate of the mixing ratio output by the ratio model, the simulated composite slurry refers to a virtual or computational model used to simulate the performance of the actual composite slurry, the slurry performance loss refers to the performance loss calculated by comparing the difference between the simulation results and the target performance in the simulated composite slurry model, and the mixing ratio refers to the final ratio of each component (graphene solvent, pretreated fly ash raw material, polymer binder and mixing aid) after optimization.

[0135] Optionally, the analysis of the feature multicollinearity of the ratio mixture key features is determined by calculating a variance inflation factor (VIF), a correlation coefficient matrix or a principal component analysis (PCA).

[0136] Optionally, the establishment of the simulated composite slurry of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid according to the initial mixing ratio can be achieved by simulation software.

[0137] S4. According to the mixing ratio, the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid are mixed to obtain a composite slurry, the substrate characteristics of the non-woven fabric substrate are identified, and the intelligent foaming function of the non-woven fabric substrate is defined based on the substrate characteristics. Based on the intelligent foaming function, the intelligent foaming of the non-woven fabric substrate in the composite slurry is performed to obtain a slurry-foamed non-woven fabric substrate.

[0138] It should be explained that the composite slurry refers to a uniform, viscous mixture formed by mixing graphene solvent, pretreated fly ash raw material, polymer adhesive and mixing aid according to a specific mixing ratio.

[0139] The present invention identifies the substrate properties of a non-woven fabric substrate, and defines an intelligent soaking function of the non-woven fabric substrate based on the substrate properties, and can automatically adjust the soaking parameters according to the properties of the non-woven fabric substrate, thereby achieving efficient and accurate substrate processing. The substrate properties include fiber type, pore size, porosity, thickness, and other properties.

[0140] In detail, the intelligent soaking function of the non-woven fabric substrate is defined based on the substrate characteristics, including:

[0141] Determining an intelligent soaking target of the nonwoven fabric substrate;

[0142] Defining intelligent foaming parameters of the nonwoven fabric substrate according to the substrate characteristics and the intelligent foaming target;

[0143] Determining the influence coefficient of the intelligent soaking parameter;

[0144] According to the influence coefficient and the intelligent soaking parameter, the intelligent soaking function of the non-woven fabric substrate is defined.

[0145] The smart soaking target refers to the specific performance index or effect that is expected to be achieved through the soaking process, and the smart soaking parameters refer to the variables that can be adjusted during the soaking process to achieve the smart soaking target. These parameters include but are not limited to soaking time, temperature, pressure, medium concentration and other parameters, the influence coefficient refers to the influence of each soaking parameter on achieving the soaking target, and the smart soaking function refers to a function that automatically adjusts the soaking parameters according to the characteristics of the non-woven fabric substrate.

[0146] Furthermore, the intelligent bubbling function of the non-woven fabric substrate is defined according to the influence coefficient and the intelligent bubbling parameter, including:

[0147] According to the influence coefficient and the intelligent bubbling parameter, the intelligent bubbling function of the non-woven fabric substrate is defined by the following formula:

[0148]

[0149] Among them, F(t,T,C,D) represents the intelligent soaking function, H represents the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, t represents the intelligent soaking parameter corresponding to the soaking time, T represents the intelligent soaking parameter corresponding to the soaking temperature, C represents the intelligent soaking parameter corresponding to the composite slurry concentration, D represents the intelligent soaking parameter corresponding to the soaking pressure, k1 represents the influence coefficient of the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, k2 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking time, e represents the exponential function, k3 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking temperature, C represents the influence coefficient of the intelligent soaking parameter corresponding to the composite slurry concentration, and D represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking pressure.

[0150] Among them, the hydrophilicity of the substrate refers to a measure of the affinity of the non-woven substrate for water, the soaking time refers to the soaking time of the non-woven substrate, the soaking temperature refers to the soaking temperature of the non-woven substrate, the composite slurry concentration refers to the concentration of the composite slurry, and the soaking pressure refers to the soaking pressure of the non-woven substrate.

[0151] It should be explained that the slurry-soaked non-woven fabric substrate refers to immersing the non-woven fabric substrate in a composite slurry so that the non-woven fabric substrate absorbs certain components or characteristics in the slurry, thereby improving or giving the non-woven fabric substrate new properties.

[0152] S5. heat-treating the slurry-soaked non-woven fabric substrate to obtain a heat-treated non-woven fabric substrate, calculating the slurry solidification strength of the heat-treated non-woven fabric substrate, and when the slurry solidification strength meets the preset slurry solidification strength standard, post-treating the heat-treated non-woven fabric substrate to obtain a target non-woven air purification fabric.

[0153] The present invention heat-treats the slurry-soaked non-woven fabric substrate to obtain a heat-treated non-woven fabric substrate, which can solidify the polymer adhesive and enhance the structural stability of the material. At the same time, the heat treatment can also promote the interface bonding between graphene and fly ash, and improve the overall performance of the composite material. In detail, the heat treatment of the slurry-soaked non-woven fabric substrate to obtain a heat-treated non-woven fabric substrate can be achieved by placing the slurry-soaked non-woven fabric substrate in an oven and heat-treating it at 150°C for 30 minutes.

[0154] The present invention calculates the slurry curing strength of the heat-treated non-woven fabric substrate to determine whether the heat-treated non-woven fabric substrate meets the slurry curing requirements, thereby improving the preparation effect of the non-woven fabric.

[0155] In detail, the calculating of the slurry curing strength of the heat-treated non-woven fabric substrate comprises:

[0156] Obtaining a substrate sample of the heat-treated nonwoven fabric substrate;

[0157] applying a compressive force to the substrate sample;

[0158] identifying a substrate sample behavior of the substrate sample under the compressive force;

[0159] establishing a force-displacement curve of the substrate sample according to the behavior of the substrate sample;

[0160] Based on the force-displacement curve, the slurry curing strength of the heat-treated nonwoven fabric substrate is calculated.

[0161] Among them, the substrate sample refers to one or more small pieces cut from a heat-treated non-woven fabric substrate, the compression force refers to the force applied to the sample by a testing device (such as a universal testing machine) when the substrate sample is physically tested, the substrate sample behavior refers to the physical reaction of the substrate sample during the application of the compression force, the force-displacement curve refers to a curve showing the relationship between the force applied to the substrate sample and the sample displacement (or deformation) during the compression force test, and the slurry curing strength refers to the strength of the cured layer formed after the slurry is heat-treated on the non-woven fabric substrate.

[0162] Optionally, the slurry curing strength of the heat-treated nonwoven fabric substrate is calculated based on the force-displacement curve, usually within the linear region of the force-displacement curve, that is, the maximum stress value before the sample yields or fails.

[0163] Finally, in the present invention, when the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-processed to obtain the target non-woven fabric air purification fabric to obtain the final high-performance non-woven fabric air purification fabric. In detail, the post-processing of the heat-treated non-woven fabric substrate includes post-processing steps such as cutting and sorting the heat-treated non-woven fabric substrate after the heat treatment.

[0164] Compared with the problems described in the background technology, the present invention calculates the cohesion force of the graphene raw material and can provide a basis for the subsequent dispersion of the graphene raw material; the present invention defines the ultrasonic dispersion parameters of the graphene raw material based on the cohesion force to ensure that the ultrasonic dispersion parameters match the cohesion force of the graphene raw material, thereby achieving efficient and uniform graphene dispersion; further, the present invention disperses the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent, which can obtain a uniformly dispersed graphene solvent and lay a good foundation for subsequent applications. Furthermore, the present invention calculates the purity coefficient of the pretreated fly ash raw material to evaluate the purity of the pretreated fly ash raw material and provide a basis for the subsequent non-woven fabric. Furthermore, the present invention identifies the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive characteristics and the mixing auxiliary agent characteristics, which can comprehensively identify and characterize the characteristics of each component, thereby providing a basis for the air purification of non-woven fabrics. The preparation of chemical cloth provides a scientific basis. Further, according to the characteristics of the graphene solvent, the characteristics of the fly ash raw material, the characteristics of the polymer adhesive and the characteristics of the mixing auxiliary agent, the mixed ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent can be output by using a trained ratio model to improve the mixing effect, thereby improving the effect of the non-woven fabric. Next, the present invention identifies the substrate characteristics of the non-woven fabric substrate, and defines the intelligent soaking function of the non-woven fabric substrate based on the substrate characteristics. The soaking parameters can be automatically adjusted according to the characteristics of the non-woven fabric substrate, thereby achieving efficient and accurate substrate processing. The present invention heat-treats the non-woven fabric substrate soaked in the slurry to obtain a heat-treated non-woven fabric substrate, which can solidify the polymer adhesive and enhance the structural stability of the material. Finally, when the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-processed to obtain the target non-woven fabric air purification cloth, and the final high-performance non-woven fabric air purification cloth can be obtained. Therefore, the present invention can improve the purification effect of the non-woven fabric air purification cloth.

[0165] Embodiment 2:

[0166] like Figure 2 , which is a functional module diagram of a novel non-woven air purification cloth and a preparation system thereof provided in one embodiment of the present invention.

[0167] The novel non-woven air purification cloth and its preparation system 200 described in the present invention can be installed in an electronic device. According to the functions to be realized, the novel non-woven air purification cloth and its preparation system 200 can include a graphene raw material dispersion module 201, a fly ash pretreatment module 202, a mixing ratio output module 203, a non-woven intelligent soaking module 204 and a purification cloth construction module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0168] In this embodiment, the functions of each module / unit are as follows:

[0169] The graphene raw material dispersion module 201 is used to obtain the graphene raw material and the fly ash raw material of the non-woven fabric substrate, calculate the agglomeration force of the graphene raw material, define the ultrasonic dispersion parameters of the graphene raw material based on the agglomeration force, and disperse the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent;

[0170] The fly ash pretreatment module 202 is used to pretreat the fly ash raw material to obtain the pretreated fly ash raw material, calculate the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets the preset purity standard, define the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material;

[0171] The mixing ratio output module 203 is used to identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics;

[0172] The non-woven fabric intelligent soaking module 204 is used to mix the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid according to the mixing ratio to obtain a composite slurry, identify the substrate properties of the non-woven fabric substrate, define the intelligent soaking function of the non-woven fabric substrate based on the substrate properties, and perform intelligent soaking of the non-woven fabric substrate in the composite slurry based on the intelligent soaking function to obtain a slurry-soaked non-woven fabric substrate;

[0173] The purification cloth construction module 205 is used to heat-treat the slurry-soaked non-woven fabric substrate to obtain a heat-treated non-woven fabric substrate, calculate the slurry solidification strength of the heat-treated non-woven fabric substrate, and when the slurry solidification strength meets the preset slurry solidification strength standard, post-treat the heat-treated non-woven fabric substrate to obtain a target non-woven air purification cloth.

[0174] In detail, the modules described in the new non-woven air purification cloth and its preparation system 200 described in the embodiment of the present invention adopt the same technical means as the new non-woven air purification cloth and its preparation method described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0175] An embodiment of the present invention provides an electronic device for realizing a novel non-woven air purification cloth and a preparation method thereof.

[0176] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a novel non-woven air purification cloth and a preparation method program thereof.

[0177] Among them, the processor in some embodiments may be composed of an integrated circuit, for example, it may be composed of a single packaged integrated circuit, or it may be composed of multiple integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, which uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules stored in the memory (for example, executing the new non-woven air purification cloth and its preparation program, etc.), and calls the data stored in the memory to execute various functions of the electronic device and process data.

[0178] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory may be an internal storage unit of an electronic device in some embodiments, such as a mobile hard disk of the electronic device. The memory may also be an external storage device of an electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory may be used not only to store application software and various types of data installed in the electronic device, such as codes based on a new type of non-woven air purification cloth and its preparation program, but also to temporarily store data that has been output or is to be output.

[0179] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0180] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0181] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0182] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0183] The novel non-woven air purification cloth and its preparation program stored in the memory of the electronic device are a combination of multiple instructions, which, when run in the processor, can achieve:

[0184] Obtaining a graphene raw material and a fly ash raw material of a non-woven fabric substrate, calculating the agglomeration force of the graphene raw material, defining an ultrasonic dispersion parameter of the graphene raw material based on the agglomeration force, and dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameter to obtain a graphene solvent;

[0185] Pretreating the fly ash raw material to obtain a pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets a preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material;

[0186] Identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics;

[0187] According to the mixing ratio, the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid are mixed to obtain a composite slurry, the substrate properties of the non-woven fabric substrate are identified, the intelligent foaming function of the non-woven fabric substrate is defined based on the substrate properties, and the intelligent foaming of the non-woven fabric substrate in the composite slurry is performed based on the intelligent foaming function to obtain a slurry-foamed non-woven fabric substrate;

[0188] The slurry-soaked non-woven fabric substrate is heat-treated to obtain a heat-treated non-woven fabric substrate, and the slurry solidification strength of the heat-treated non-woven fabric substrate is calculated. When the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-treated to obtain a target non-woven air purification fabric.

[0189] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0190] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0191] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0192] Obtaining a graphene raw material and a fly ash raw material of a non-woven fabric substrate, calculating the agglomeration force of the graphene raw material, defining an ultrasonic dispersion parameter of the graphene raw material based on the agglomeration force, and dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameter to obtain a graphene solvent;

[0193] Pretreating the fly ash raw material to obtain a pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets a preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material;

[0194] Identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics;

[0195] According to the mixing ratio, the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid are mixed to obtain a composite slurry, the substrate properties of the non-woven fabric substrate are identified, the intelligent foaming function of the non-woven fabric substrate is defined based on the substrate properties, and the intelligent foaming of the non-woven fabric substrate in the composite slurry is performed based on the intelligent foaming function to obtain a slurry-foamed non-woven fabric substrate;

[0196] The slurry-soaked non-woven fabric substrate is heat-treated to obtain a heat-treated non-woven fabric substrate, and the slurry solidification strength of the heat-treated non-woven fabric substrate is calculated. When the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-treated to obtain a target non-woven air purification fabric.

[0197] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0198] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0199] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0200] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0201] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0202] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0203] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A novel non-woven air purification cloth and a preparation method thereof, characterized in that: The method comprises: Obtaining a graphene raw material and a fly ash raw material of a non-woven fabric substrate, calculating the agglomeration force of the graphene raw material, defining an ultrasonic dispersion parameter of the graphene raw material based on the agglomeration force, and dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameter to obtain a graphene solvent; Pretreating the fly ash raw material to obtain a pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets a preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material; Identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics; According to the mixing ratio, the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid are mixed to obtain a composite slurry, the substrate properties of the non-woven fabric substrate are identified, the intelligent foaming function of the non-woven fabric substrate is defined based on the substrate properties, and the intelligent foaming of the non-woven fabric substrate in the composite slurry is performed based on the intelligent foaming function to obtain a slurry-foamed non-woven fabric substrate; The slurry-soaked non-woven fabric substrate is heat-treated to obtain a heat-treated non-woven fabric substrate, and the slurry solidification strength of the heat-treated non-woven fabric substrate is calculated. When the slurry solidification strength meets the preset slurry solidification strength standard, the heat-treated non-woven fabric substrate is post-treated to obtain a target non-woven air purification fabric.

2. The novel nonwoven air purification cloth and its preparation method as claimed in claim 1, characterized in that: The calculating the agglomeration force of the graphene raw material comprises: Preliminarily dispersing the graphene raw material to obtain dispersed graphene; Identifying a particle size distribution range of the dispersed graphene; Defining a TEM sample of the dispersed graphene according to the particle size distribution range; Analyzing the aggregation state of the dispersed graphene using the TEM sample; Based on the aggregation state, the aggregation force of the dispersed graphene is calculated.

3. The novel nonwoven air purification cloth and its preparation method as claimed in claim 2, characterized in that: The calculating the agglomeration force of the dispersed graphene based on the agglomeration state comprises: Based on the agglomeration state, defining the particle radius and particle distance of the dispersed graphene; Calculating the equivalent radius of curvature of the dispersed graphene according to the particle radius and the particle distance; The agglomeration force of the dispersed graphene is calculated by the equivalent radius of curvature using the following formula: Among them, F vdw represents the agglomeration force of dispersed graphene, π represents the circumference, d represents the minimum value of the corresponding particle distance of dispersed graphene, R represents the equivalent radius of curvature of dispersed graphene, and A represents the Hamaker constant.

4. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 3, characterized in that: The step of dispersing the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent comprises: Integrating the graphene raw material into the dispersion solvent to obtain a graphene mixed solvent; Based on the ultrasonic dispersion parameters, using a preset ultrasonic disperser to ultrasonically disperse the graphene mixed solvent to obtain a first dispersed graphene solvent; Recording dispersion data of the first dispersed graphene solvent, and analyzing a dispersion coefficient of the first dispersed graphene solvent according to the dispersion data; According to the dispersion coefficient, the ultrasonic dispersion parameters are optimized to obtain optimized ultrasonic dispersion parameters; Based on the optimized ultrasonic dispersion parameters, the first dispersed graphene solvent is dispersed twice to obtain a second dispersed graphene solvent; identifying a solvent mass of the second dispersed graphene solvent; The solvent agglomerates of the second dispersed graphene solvent are filtered to obtain the graphene solvent.

5. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 4, characterized in that: The calculating of the purity coefficient of the pretreated fly ash raw material comprises: identifying the chemical composition of the pretreated fly ash raw material; marking a target component of the chemical component and identifying the component content of the target component; defining a baseline content of the target ingredient; defining the purity weight of said chemical constituent; Based on the component content, the reference content and the purity weight, the purity coefficient of the pretreated fly ash raw material is calculated using the following formula: Where P represents the purity coefficient of pretreated fly ash raw materials, S a represents the content of the ath chemical component of the pretreated fly ash raw material, J a represents the reference content of the ath chemical component of the pretreated fly ash raw material, ω a It represents the purity weight of the ath chemical component of the pretreated fly ash raw material, and n represents the number of the corresponding chemical components of the pretreated fly ash raw material.

6. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 5, characterized in that: The method outputs the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing auxiliary agent characteristics, including: Identify the key characteristics of the ratio and mixing of the graphene solvent characteristics, the fly ash raw material characteristics, the polymer binder characteristics and the mixing auxiliary agent characteristics; Analyzing the characteristic multicollinearity of the key characteristics of the ratio mixture; When the feature multicollinearity meets the preset feature multicollinearity standard, the initial mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid is output using the ratio model according to the ratio mixing key feature; According to the initial mixing ratio, establishing a simulated composite slurry of the graphene solvent, the pretreated fly ash raw material, the polymer binder and the mixing aid; Calculating the slurry performance loss of the simulated composite slurry; The initial mixing ratio is optimized through the slurry performance loss to obtain the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid.

7. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 6, characterized in that: The intelligent soaking function of the non-woven fabric substrate is defined based on the substrate characteristics, including: Determining an intelligent soaking target of the nonwoven fabric substrate; Defining intelligent foaming parameters of the nonwoven fabric substrate according to the substrate characteristics and the intelligent foaming target; Determining the influence coefficient of the intelligent soaking parameter; According to the influence coefficient and the intelligent soaking parameter, the intelligent soaking function of the non-woven fabric substrate is defined.

8. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 7, characterized in that: The method of defining the intelligent bubbling function of the non-woven fabric substrate according to the influence coefficient and the intelligent bubbling parameter includes: According to the influence coefficient and the intelligent bubbling parameter, the intelligent bubbling function of the non-woven fabric substrate is defined by the following formula: Among them, F(t,T,C,D) represents the intelligent soaking function, H represents the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, t represents the intelligent soaking parameter corresponding to the soaking time, T represents the intelligent soaking parameter corresponding to the soaking temperature, C represents the intelligent soaking parameter corresponding to the composite slurry concentration, D represents the intelligent soaking parameter corresponding to the soaking pressure, k1 represents the influence coefficient of the intelligent soaking parameter corresponding to the hydrophilicity of the substrate, k2 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking time, e represents the exponential function, k3 represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking temperature, C represents the influence coefficient of the intelligent soaking parameter corresponding to the composite slurry concentration, and D represents the influence coefficient of the intelligent soaking parameter corresponding to the soaking pressure.

9. The novel nonwoven air purification cloth and the preparation method thereof as claimed in claim 8, characterized in that: The calculating of the slurry curing strength of the heat-treated non-woven fabric substrate comprises: Obtaining a substrate sample of the heat-treated nonwoven fabric substrate; applying a compressive force to the substrate sample; identifying a substrate sample behavior of the substrate sample under the compressive force; establishing a force-displacement curve of the substrate sample according to the behavior of the substrate sample; Based on the force-displacement curve, the slurry curing strength of the heat-treated nonwoven fabric substrate is calculated.

10. A novel non-woven air purification cloth and its preparation system, characterized in that: Used to implement the novel non-woven air purification cloth and the preparation method thereof as described in any one of claims 1 to 9, the system comprises: A graphene raw material dispersion module, used to obtain the graphene raw material and the fly ash raw material of the non-woven fabric substrate, calculate the agglomeration force of the graphene raw material, define the ultrasonic dispersion parameters of the graphene raw material based on the agglomeration force, and disperse the graphene raw material into a preset dispersion solvent according to the ultrasonic dispersion parameters to obtain a graphene solvent; A fly ash pretreatment module, used for pretreating the fly ash raw material to obtain the pretreated fly ash raw material, calculating the purity coefficient of the pretreated fly ash raw material, and when the purity coefficient meets the preset purity standard, defining the graphene solvent and the polymer binder and mixing auxiliary agent of the pretreated fly ash raw material; A mixing ratio output module is used to identify the graphene solvent characteristics, fly ash raw material characteristics, polymer adhesive characteristics and mixing auxiliary agent characteristics of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent, and output the mixing ratio of the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing auxiliary agent using a trained ratio model according to the graphene solvent characteristics, the fly ash raw material characteristics, the polymer adhesive characteristics and the mixing auxiliary agent characteristics; A non-woven fabric intelligent soaking module, for mixing the graphene solvent, the pretreated fly ash raw material, the polymer adhesive and the mixing aid according to the mixing ratio to obtain a composite slurry, identifying the substrate properties of the non-woven fabric substrate, defining an intelligent soaking function of the non-woven fabric substrate based on the substrate properties, and performing intelligent soaking of the non-woven fabric substrate in the composite slurry based on the intelligent soaking function to obtain a slurry-soaked non-woven fabric substrate; The purification cloth construction module is used to heat-treat the slurry-soaked non-woven fabric substrate to obtain the heat-treated non-woven fabric substrate, calculate the slurry curing strength of the heat-treated non-woven fabric substrate, and when the slurry curing strength meets the preset slurry curing strength standard, post-treat the heat-treated non-woven fabric substrate to obtain the target non-woven air purification cloth.

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