High-transparency pvc floor surface coating control method, system and device

Abstract

The present application relates to the technical field of coating floor production, and particularly relates to a high-transparency PVC floor surface coating control method, system and equipment, the method comprising: determining the composition of a coating material formula according to the existing coating proportion based on the target performance requirements of the coating, and calibrating the proportion range of the key components of the coating material formula; establishing a surface microstructure characteristic model, verifying the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and generating a physical performance verification result; and comparing and checking the production process parameters of the coating based on the physical performance verification result and the target performance requirements. Through the present application, the problems of insufficient transparency, poor durability and poor stain resistance of traditional high-transparency PVC floor coatings are effectively solved, and in particular, the problem of being difficult to achieve coating structure stability and process repeatability while meeting high optical performance is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coated floor production, and particularly relates to a high-transparency PVC floor surface coating control method, system and equipment. BACKGROUND

[0002] At present, high-transparency PVC floors are widely used in commercial and home scenarios and are popular due to their aesthetic appearance, wear resistance, water resistance and other characteristics. However, there are still many challenges in coating control methods for improving transparency, surface durability and stain resistance. The existing technology mainly uses traditional coating formulations and processing techniques, and the transparency and surface performance are mainly limited by material selection, microstructure design and preparation process.

[0003] In addition, especially when realizing the micro-nano scale composite structure of high-transparency coating, there is a lack of effective modeling and optimization means, and it is difficult to meet the high requirements of complex environments on optical performance, wear resistance and stain resistance. Unsuitable filler particles or plasticizers will cause phase separation, reduce light transmittance, and defects such as impurities, particles and bubbles will also significantly affect the transparency of the coating. And the traditional coating process is difficult to realize the control of micro-nano composite roughness, so as to sacrifice a certain degree of transparency when meeting the functions of stain resistance and slip resistance.

[0004] The information disclosed in this BACKGROUND section is only intended to enhance the understanding of the general background of the present disclosure and is not intended to be recognized as prior art to the present disclosure. SUMMARY

[0005] The present application provides a high-transparency PVC floor surface coating control method, system and equipment, which can effectively solve the problems in the background art.

[0006] In order to achieve the above purpose, the technical scheme adopted by the present application is:

[0007] Based on the target performance requirements of the coating, the composition of the coating material formula is determined according to the existing coating ratio, and the proportion range of the key components of the coating material formula is calibrated;

[0008] A surface microstructure characteristic model is established to verify the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and a physical performance verification result is generated;

[0009] Based on the physical performance verification result and the target performance requirement, the production process parameters of the coating are compared and verified.

[0010] Further, verifying the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness includes:

[0011] selecting a benchmark parameter related to the micro-nano scale roughness of the coating surface based on the target performance requirement, in combination with the coating material formula and the critical component proportion range;

[0012] establishing a surface microstructure characteristic model to simulate the behavior change trend of the wetting and dynamic flow behavior of the coating liquid on the substrate surface;

[0013] based on the behavior change trend, analyzing the interfacial energy distribution of the benchmark parameter on the coating surface;

[0014] According to the interfacial energy distribution, the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are established.

[0015] Further, the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are established, including:

[0016] Based on the interfacial energy distribution and the benchmark parameter, the coupling relationship between the spreading behavior of the coating liquid at the micro scale and the surface roughness is calculated;

[0017] According to the coupling relationship, the micro-nano scale composite structure of the coating liquid on the substrate surface is established;

[0018] By simulating the geometric characteristics of the coating liquid in the micro-nano scale composite structure, the continuity and consistency of the geometric characteristics at multiple scales are verified;

[0019] Based on the verification result, the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are extracted.

[0020] Further, the continuity and consistency of the geometric characteristics at multiple scales are verified, including:

[0021] According to the physical property change of the micro-nano scale composite structure, the physical verification of the coating surface is divided into multiple scales;

[0022] The fluid behavior of the coating liquid in the micro-nano scale composite structure is simulated by multi-scale simulation;

[0023] By calculating the transition region of the micro-nano scale composite structure at each scale, the continuity of the micro-nano scale composite structure in the scale change process is verified;

[0024] Based on the target performance requirement, the spreading behavior, wetting and flow of the micro-nano scale composite structure are verified to remain consistent under different scale conditions.

[0025] Further, the composition of the coating material formula is determined according to the existing coating proportion, including:

[0026] determining the target performance requirements according to physical, optical and durability design requirements;

[0027] analyzing proportions of components in an existing coating formula according to the target performance requirements, and determining main components of the formula in combination with physicochemical properties of known materials;

[0028] designing the coating material formula according to the main components of the formula based on the proportions of the existing coating;

[0029] calibrating a proportion range of each of the key components in the coating material formula based on the target performance requirements.

[0030] Further, calibrating the proportion range of each of the key components in the coating material formula includes:

[0031] preliminarily calibrating the proportion range of each of the key components according to the target performance requirements and the physicochemical properties of the components of the existing formula;

[0032] adjusting the proportion range of each of the key components according to an experimental result of the preliminary calibration;

[0033] further calibrating the proportion range according to a result of a sensitivity analysis of each of the proportion ranges;

[0034] determining a final proportion range of each of the key components through multiple iterations and optimization adjustments based on the experimental verification and the sensitivity analysis.

[0035] Further, comparing and verifying production process parameters of a coating include:

[0036] selecting the production process parameters affecting performance of the coating according to the target performance requirements and a result of physical performance verification;

[0037] developing a comparative experiment scheme of the production process parameters, and setting multiple production process parameters in a horizontal direction for experiments;

[0038] performing experimental production according to the comparative experiment scheme, and producing coating samples using different production process parameters;

[0039] performing performance comparative analysis on performance data of the coating samples, and selecting the production process parameters meeting the target performance requirements according to a result of the performance comparative analysis.

[0040] Further, the performance comparative analysis on the performance data of the coating samples includes:

[0041] analyzing the performance data of the coating samples, establishing a performance comparison analysis scale;

[0042] correlating and mapping the micro features of each coating sample with macro performance according to the performance comparison analysis scale;

[0043] calculating the weight coefficient of each mapping line, dynamically adjusting the weight coefficient according to the performance requirements of the coating in different application environments;

[0044] corresponding the weight coefficient with the coating sample, and comparing and analyzing the performance according to the comparison of the weight coefficient.

[0045] A high-transparency PVC floor surface coating control system, the system comprising:

[0046] A formula composition calibration module, based on the target performance requirements of the coating, determining the composition of the coating material formula according to the existing coating ratio, and calibrating the proportion range of the key ingredients of the coating material formula;

[0047] A physical performance verification module, establishing a surface microstructure characteristic model, verifying the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and generating a physical performance verification result;

[0048] A parameter comparison and verification module, based on the physical performance verification result and the target performance requirements, comparing and verifying the production process parameters of the coating.

[0049] A high-transparency PVC floor surface coating control device, the device comprising:

[0050] A coating proportioning and blending unit, including an automatic metering pump and a mixing device, for accurately mixing the ingredients of the coating liquid according to the calibrated proportion;

[0051] A surface pretreatment unit, including a plasma treatment device and a laser cleaning device, for cleaning and improving the roughness and adhesion of the PVC floor substrate surface;

[0052] A coating unit, including an automatic spraying system and a nozzle regulator, for controlling the uniform distribution, thickness and coating path of the coating;

[0053] A curing unit, including a UV curing lamp tube and a hot air circulation box, for curing the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards;

[0054] A performance detection and feedback unit, including an optical detector, a hardness tester, a surface scanner, and a feedback control unit, for detecting the optical and physical properties of the coating sample and feeding back the results to the system.

[0055] The technical scheme of the present application can realize the following technical effects:

[0056] By optimizing the composition and proportion range of the coating material formula, combining the design of micro-nano composite structure and the multi-scale physical performance verification method, the problems of insufficient coating transparency, durability and anti-fouling ability are solved; at the same time, by accurately controlling the production process parameters, the consistency and reliability of the coating under different process conditions are ensured.

[0057] The above description is only a summary of the technical scheme of the present application, in order to more clearly understand the technical means of the present application, which can be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical scheme in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments described in the present application, and those skilled in the art can obtain other drawings according to these drawings without creating any creative labor.

[0059] Figure 1 Flowchart for high-transparency PVC floor surface coating control method;

[0060] Figure 2 Flowchart for verifying physical performance of coating material formula;

[0061] Figure 3 Flowchart for verifying continuity and consistency of geometric characteristics;

[0062] Figure 4 Flowchart for production process parameter comparison and verification. DETAILED DESCRIPTION

[0063] The technical scheme in the embodiments of the present application will be described clearly and completely in the following by combining the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0065] Embodiment one;

[0066] As Figure 1 shown, the present application provides a high-transparency PVC floor surface coating control method, the method comprising:

[0067] S10: based on the target performance requirements of the coating, determine the composition of the coating material formula according to the existing coating ratio, and calibrate the proportion range of the key ingredients of the coating material formula;

[0068] S20: establish a surface microstructure characteristic model, verify the physical performance of the coating material formula in forming a surface structure with micro-nano composite roughness, and generate a physical performance verification result;

[0069] S30: based on the physical performance verification result and the target performance requirement, compare and verify the production process parameters of the coating.

[0070] Specifically, based on the target requirements of high-transparency PVC floor for optical performance (transparency, gloss), physical performance (wear resistance, stain resistance), and durability (scratch resistance, adhesion), a plurality of possible formula systems are selected from the existing coating material database, the physicochemical properties of the key ingredients (such as optical transparent agent, anti-wear enhancer, adhesive, and diluent) in each system are analyzed, the coating material formula is preliminarily determined, and the proportion range of each ingredient is calibrated; the behavior of the coating liquid forming a micro-nano composite roughness on the surface of the PVC substrate is simulated using simulation software, the surface microstructure characteristics of the coating after solidification are predicted by adjusting the surface tension, viscosity, and spreadability of the coating liquid, and the reliability of the simulation results is verified in combination with actual test data; under laboratory conditions, several coating samples are prepared, their transparency (transmittance not less than 95%), wear resistance (friction times more than 10,000 times without obvious damage), and stain resistance (surface easy to clean, oil stains can be easily wiped) are tested, and the feasibility of the coating material formula is verified by comparison with the target performance requirements; a set of comparative experiment schemes are developed for the key process parameters (such as spraying speed, spraying thickness, curing temperature, and time) that may affect the quality of the coating during coating; different production process parameters are set in fixed intervals for comparison, and coating samples under different parameter conditions are obtained through experimental production, and the performance of the samples is tested.

[0071] Through the technical scheme of the present application, by optimizing the composition and proportion range of the coating material formula, combining the design of the micro-nano composite structure and the multi-scale physical performance verification method, the problems of insufficient coating transparency, durability, and stain resistance are solved; at the same time, by accurately controlling the production process parameters, the consistency and reliability of the coating under different process conditions are ensured.

[0072] Further, as Figure 2The physical performance of the coating material formulation in forming surface structure with micro-nano composite roughness is verified, including:

[0073] Based on the target performance requirements, the key ingredient proportion range of the coating material formulation, and the benchmark parameters related to the micro-nano scale roughness of the coating surface are selected;

[0074] A surface microstructure characteristic model is established to simulate the behavior trend of the wetting and dynamic flow behavior of the coating liquid on the substrate surface;

[0075] Based on the behavior trend, the interfacial energy distribution of the benchmark parameters on the coating surface is analyzed;

[0076] According to the interfacial energy distribution, the geometric characteristics and distribution rules of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are established.

[0077] As a preferred embodiment of the above, according to the target performance requirements of the coating (such as transparency, anti-fouling, wear resistance, etc.), the key ingredient proportion range of the coating material formulation, and the benchmark parameters closely related to the micro-nano scale roughness of the coating surface are determined, including the viscosity, surface tension, and spreading of the coating liquid; numerical simulation techniques such as finite element analysis are used to establish a surface microstructure characteristic model to simulate the wetting behavior and dynamic flow characteristics of the coating liquid on the PVC substrate surface. In the simulation process, the benchmark parameters and the initial roughness of the substrate surface (such as the surface treated by micron-level sandpaper) are input as boundary conditions to calculate the spreading rate and thickness distribution of the coating liquid under different parameter conditions; based on the simulation results, the interfacial energy distribution of the coating liquid on the substrate surface is further analyzed, including the calculation of the interfacial adhesion energy between the liquid and the substrate surface and the cohesion energy between the liquids. By comparing the interfacial energy distribution under different benchmark parameter conditions, it is evaluated whether the coating liquid has stable spreading on the substrate surface; according to the results of the interfacial energy distribution, the micro-nano scale composite roughness structure formed by the coating liquid on the substrate surface after solidification is simulated. Through simulation, the roughness geometric characteristics (such as roughness Ra of 50-100 nm) and distribution rules of the coating surface in a specific area are obtained, and according to the simulation results and target performance requirements, it is confirmed whether the coating material formulation and benchmark parameters meet the design requirements.

[0078] For example, using the coating material formulation for experiments, the dynamic spreading behavior and the final surface roughness distribution after solidification of the coating liquid on the sandpaper-treated PVC substrate surface are calculated through numerical simulation simulation.

[0079] Further, the geometric characteristics and distribution rules of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are established, including:

[0080] Based on the interface energy distribution and the reference parameters, the coupling relationship between the spreading behavior of the coating liquid at the microscale and the surface roughness is calculated;

[0081] According to the coupling relationship, the micro-nano scale composite structure of the coating liquid on the substrate surface is established;

[0082] By simulating the geometric characteristics of the coating liquid in the micro-nano scale composite structure, the continuity and consistency of the geometric characteristics at multiple scales are verified;

[0083] Based on the verification result, the geometric characteristics and distribution rules of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are extracted.

[0084] As a preferred embodiment of the above, based on the interface energy distribution and selected reference parameters (such as liquid viscosity, surface tension, contact angle, etc.), the dynamic spreading behavior of the coating liquid on the substrate surface is calculated by numerical simulation, considering the influence of the initial roughness of the substrate surface, using a coupling model (such as a multi-physical field model combining fluid dynamics and surface energy analysis), the coating liquid is analyzed how to fill and cover the micron and nanometer scale irregular structures on the substrate surface; according to the coupling relationship between the spreading behavior and the surface roughness, the micro-nano scale composite structure formed by the coating liquid on the substrate surface after solidification is simulated, the specific method is to take the simulated spreading boundary as input, combined with the solidification characteristics of the coating liquid, the final form of the coating at the micron and nanometer scale is calculated, and a three-dimensional geometric model is generated; using multi-scale simulation method (such as hierarchical modeling from nanometer to micrometer), the change trend of the geometric characteristics of the coating liquid in the process of forming micro-nano structure is simulated. The transition effect of the micro-nano structure in different regions is analyzed, and its continuity and consistency are verified. The change range of the coating surface roughness (such as Ra value from 50 nm to 80 nm) is taken as the evaluation standard to ensure the overall uniformity of the coating surface; based on the verification result, the key geometric characteristics of the micro-nano structure on the coating surface are extracted, such as roughness Ra, peak height distribution, valley depth distribution, etc., and its spatial distribution rule on the substrate surface (such as uniform distribution or specific distribution mode).

[0085] For example, control the surface tension and viscosity of the coating liquid, and coat it on the PVC substrate surface treated by sandpaper to obtain the initial roughness of the substrate surface, simulate the dynamic spreading process of the coating liquid by finite element analysis software, calculate its spreading behavior at the micron and nanometer scale, the simulation result shows that the spreading of the coating liquid on the rough surface is affected by the viscosity and interface energy, and a uniform micro-nano composite roughness structure can be formed, and the continuity and consistency of the geometric characteristics in multiple regions are verified by the simulation result.

[0086] Further, as shown in Figure 3 the continuity and consistency of the geometric characteristics at multiple scales are verified, including:

[0087] According to the physical characteristics of the micro-nano composite structure, the physical verification of the coating surface is divided into multiple scales;

[0088] The fluid behavior of the coating liquid in the micro-nano composite structure is simulated by multi-scale simulation;

[0089] By calculating the transition region of the micro-nano composite structure at each scale, the continuity of the micro-nano composite structure during the scale change is verified;

[0090] Based on the target performance requirements, the spreading behavior, wettability and flowability of the micro-nano composite structure are verified to be consistent under different scale conditions.

[0091] As a preferred embodiment of the above, according to the physical characteristics of the micro-nano composite structure, the scale range of verification is determined, for example, the particle distribution and interfacial energy are analyzed at the nanoscale (10-100 nm), the surface roughness characteristics and interfacial morphology are analyzed at the microscale (1-10 µm), within these ranges, the verification area is refined, and key characteristic indicators (such as wetting angle, roughness Ra and interfacial adhesion) are defined; multi-physical field simulation tools (such as fluid mechanics and thermodynamics coupling model) are used to simulate the dynamic fluid behavior of the coating liquid in the micro-nano composite structure, at the nanoscale, the spreading and solidification process of the coating liquid molecules on the substrate surface is studied by molecular dynamics simulation; at the microscale, the large-scale spreading behavior and thickness distribution of the coating liquid are analyzed by the continuum model; by simulating the transition region of the micro-nano composite structure, the geometric characteristic change curve of the transition region is extracted, for example, the gradient change from the nanoscale rough particle distribution to the microscale overall roughness, it is checked whether the surface characteristics of the transition region are smoothly transitioned and have no abrupt change; it is verified whether there is discontinuity of geometric and physical parameters between adjacent regions at each scale; based on simulation, further experimental measurement of spreading behavior, wettability and flowability is carried out to analyze whether the performance of the coating liquid remains consistent under each scale condition, a contact angle measuring instrument is used to verify the wetting angle of the coating on the surface of different scales; optical microscope and atomic force microscope (AFM) are used to measure the surface morphology of microstructure and nanostructure; the flow characteristics of the coating liquid under different scales are tested by fluid viscometer.

[0092] For example, take the PVC sample with a substrate surface roughness of 1.2 pm, and use an acrylic coating liquid with 0.5% nanoparticles added. Calculate the behavior of the coating liquid in forming a composite structure on the surface of the nanometer particles and the micrometer roughness through a multi-scale simulation tool. The simulation results show that the wetting angle of the coating liquid at the nanometer scale fluctuates within a fixed angle, and the spreading radius at the micrometer scale changes within a fixed size, indicating good continuity in the transition region of the structure. Verify the performance consistency of the coating sample at different scales through experiments, obtain the contact angle test results, verify the uniform spreading and wettability of the coating liquid on the nanometer and micrometer scale surfaces, and measure the smoothness of the roughness gradient change of the coating surface micro-nano structure, and whether there are abrupt regions.

[0093] Further, according to the existing coating ratio, determine the composition of the coating material formula, including:

[0094] According to the physical, optical and durability design requirements, determine the target performance requirements;

[0095] According to the target performance requirements, analyze the proportion of each component in the existing coating formula, and determine the main components of the formula combined with the physicochemical properties of known materials;

[0096] Based on the existing coating ratio, design the coating material formula according to the main components of the formula;

[0097] Based on the target performance requirements, calibrate the proportion range of each key component in the coating material formula.

[0098] As a preferred embodiment of the above embodiment, according to the application requirements of high-transparency PVC floor, the physical, optical and durability design requirements of the coating are determined, such as the coating hardness needs to reach more than 6H, the visible light transmittance is not less than 90%, the haze is controlled within 1%, and the durability indicators of the relevant standards need to be met, the commonly used transparent coating formula in the market is analyzed, for example, a representative acrylic-based coating is selected as a reference to determine its main components and proportion range, and on this basis, the formula is optimized according to the physicochemical properties of the materials, for example, the molecular weight of the acrylic resin is increased to enhance the hardness and transparency of the coating, the high-weather-resistant polyurethane is selected to improve the flexibility and wear resistance, and the high-refractive nano-silicon dioxide is introduced to improve the surface performance of the coating; based on the target performance requirements, the proportion range of the key components is calibrated, and whether the formula meets the target performance requirements is verified through small-batch experiments.

[0099] Further, calibrating the proportion range of each key component in the coating material formula includes:

[0100] According to the target performance requirements and the physicochemical properties of the existing formula components, preliminarily calibrate the proportion range of each key component;

[0101] The proportion range of the preliminary calibration is verified by experiments, and the proportion range of each key component is adjusted according to the experimental results;

[0102] The sensitivity of each proportion range is analyzed, and the proportion range is further calibrated according to the results of the sensitivity analysis;

[0103] On the basis of experimental verification and sensitivity analysis, the final proportion range of each key component is finally determined through multiple iterations and optimization adjustments.

[0104] As a preferred embodiment of the above embodiment, according to the target performance requirements (such as transparency ≥ 90%, hardness ≥ 3H, adhesion ≥ 5B) and the physicochemical properties (such as refractive index, viscosity, curing rate) of the existing coating formula components, the proportion range of the coating key components is preliminarily determined; according to the proportion range preliminarily calibrated, multiple groups of samples are prepared and their performance is tested, the test contents including using ultraviolet visible spectrophotometer to test the transparency of the sample; using hardness tester to test the surface hardness of the sample; using grid method to test the adhesion of the sample; according to the experimental results, the proportion range of the components is adjusted; using sensitivity analysis tool to evaluate the influence degree of each key component on the performance of the coating; combining the results of experimental verification and sensitivity analysis, the proportion range of each component is finally determined through multiple iterations and optimization adjustments.

[0105] Further, as shown in Figure 4 The production process parameters of the coating are compared and verified, including:

[0106] According to the target performance requirements and the physical performance verification results, the production process parameters affecting the performance of the coating are selected;

[0107] A comparative experiment scheme of production process parameters is formulated, and multiple production process parameters are set in the horizontal direction for testing;

[0108] According to the comparative experiment scheme, experimental production is carried out, and coating samples are produced by using different production process parameters;

[0109] The performance data of the coating samples are compared and analyzed, and according to the results of the performance comparison and analysis, the production process parameters meeting the target performance requirements are selected.

[0110] As a preferred embodiment of the above, according to the target performance requirements and the physical performance verification results, process parameters that have a significant impact on the performance of the coating are selected, for example, the selected parameters include: coating speed, coating thickness, curing temperature and curing time; a level change range is designed for each production process parameter, and an orthogonal experiment method is used to combine different parameters for experimental design; according to the experimental design scheme, experimental production is carried out on the actual production line, only one process parameter is changed in each experiment, and the remaining parameters are kept at the benchmark conditions (such as coating speed 1 m / min, coating thickness 15 µm, curing temperature 80℃, curing time 60 s), the coating samples produced in each group are collected for performance testing, the performance data of the coating samples are compared and analyzed, according to the test results, the influence of each process parameter on the performance of the coating is analyzed, and the trend curve of the performance with the change of the parameter is drawn; based on the performance comparison and analysis, the best combination of process parameters that meet the target performance requirements is selected.

[0111] Further, the performance data of the coating samples are compared and analyzed, including:

[0112] The performance data of the coating samples are analyzed to establish a performance comparison and analysis scale;

[0113] The micro features and macro performance of each coating sample are associated and mapped according to the performance comparison and analysis scale;

[0114] The weight coefficients of each mapping line are calculated, and the weight coefficients are dynamically adjusted according to the performance requirements of the coating in different application environments;

[0115] The weight coefficients are one-to-one corresponding to the coating samples, and the performance comparison and analysis are carried out according to the comparison of the weight coefficients.

[0116] As a preferred embodiment of the above, the performance data of the coating samples are analyzed to establish a performance comparison and analysis scale, the performance test data of the coating samples are collected, including transparency, hardness, adhesion and wear resistance, etc. The performance comparison and analysis scale is set, and the weights are divided according to the importance; the micro features and macro performance of the coating samples are associated and mapped, the micro features (such as surface roughness, interface energy distribution) and macro performance (such as transparency, adhesion) of the coating samples are tested, and a correlation mapping model is established, for example, the relationship between surface roughness and transparency is calculated by optical reflectivity analysis, the relationship between interface energy distribution and adhesion is evaluated by simulation, and a quantitative mapping relationship between micro features and macro performance is established using regression analysis or neural network model; according to the contribution degree of each micro feature to different performance, the weight coefficients of the mapping lines are calculated, and the weight coefficients are dynamically adjusted in different application scenarios, for example, for the scene with high transparency requirement, the weight coefficient of transparency is increased; the weight coefficients are one-to-one corresponding to the coating samples, the comprehensive performance score of each sample is calculated by weighted average method, the comprehensive scores are compared, and the best sample group that meets the target performance requirements is selected.

[0117] Embodiment two;

[0118] Based on the same inventive concept as the high-transparency PVC floor surface coating control method in the foregoing embodiments, the application also provides a high-transparency PVC floor surface coating control system, which comprises:

[0119] A formula composition calibration module, which determines the composition of the coating material formula according to the existing coating proportion based on the target performance requirements of the coating, and calibrates the proportion range of the key ingredients of the coating material formula;

[0120] A physical performance verification module, which establishes a surface microstructure characteristic model to verify the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and generates a physical performance verification result;

[0121] A parameter comparison and verification module, which compares and verifies the production process parameters of the coating based on the physical performance verification result and the target performance requirements.

[0122] The above-mentioned adjustment system in the application can effectively implement the high-transparency PVC floor surface coating control method, and the technical effects thereof are as described in the foregoing embodiments, which will not be described here again.

[0123] Embodiment three;

[0124] Based on the same inventive concept as the high-transparency PVC floor surface coating control method in the foregoing embodiments, the application also provides a high-transparency PVC floor surface coating control device, which comprises:

[0125] A coating proportioning and blending unit, comprising an automatic metering pump and a mixing device, for accurately mixing the components of the coating liquid according to the calibrated proportion;

[0126] A surface pretreatment unit, comprising a plasma treatment device and a laser cleaning device, for cleaning and improving the roughness and adhesion of the surface of the PVC floor substrate;

[0127] A coating unit, comprising an automatic spraying system and a nozzle regulator, for controlling the uniform distribution, thickness and coating path of the coating;

[0128] A curing unit, comprising a UV curing lamp and a hot air circulation box, for curing the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards;

[0129] A performance detection and feedback unit, comprising an optical detector, a hardness tester, a surface scanner and a feedback control unit, for detecting the optical and physical properties of the coating sample and feeding back the results to the system.

[0130] Specifically, the automatic metering pump precisely controls the proportion of each coating component and uniformly mixes the components through the mixing device to ensure that the performance of the coating liquid meets the requirements; before coating, the surface pretreatment unit (including the plasma treatment device and the laser cleaning device) cleans and optimizes the roughness of the substrate surface to form a microstructure on the substrate surface that is compatible with the coating liquid; after the pretreatment is completed, the substrate is transmitted to the coating unit, and the automatic spraying system is used for uniform coating of the coating liquid, and the nozzle adjuster adjusts the spraying parameters (including spraying angle, flow rate and path) in real time according to the roughness of the substrate surface to ensure that the coating liquid is uniformly distributed on the substrate surface and fully combined with the surface characteristics of the pretreatment; the coated substrate quickly enters the curing unit, and the combined action of the UV curing lamp and the hot air circulation box is used to complete the rapid curing of the coating liquid, the UV curing lamp ensures that the hardness and transparency of the coating liquid reach the expected value, and the hot air circulation box reduces the bubble and shrinkage problems through uniform heating, thereby further improving the smoothness and durability of the coating surface; after the curing is completed, the coating sample is transmitted to the performance detection and feedback unit, which detects the transparency, hardness and surface roughness of the coating by optical detector, hardness tester and surface scanner respectively, and the detection results are fed back to the equipment control system in real time through the feedback control unit for adjusting the component proportion in the coating proportioning and dispensing unit or optimizing the process parameters of the coating unit and the curing unit.

[0131] For example, in actual operation, the device completes coating production according to the steps and the cooperation between the modules: the coating proportioning and dispensing unit sets the component proportion (such as 70% polyurethane resin, 20% nano filler and 10% additive), which is dynamically and uniformly mixed by the mixing device; the surface pretreatment unit optimizes the roughness of the substrate surface by plasma cleaning (treatment time 30 seconds) and laser cleaning (roughness controlled within the range of 0.2-0.5 μm); the coating unit sets the spraying path and thickness according to the characteristics of the substrate (coating thickness controlled within the range of 10-15 μm), and adjusts the spraying parameters through real-time sensors; the coated substrate immediately enters the curing unit, and is cured under the UV curing lamp for 5 seconds, while the hot air circulation box is used to further homogenize the performance of the coating; the performance detection and feedback unit detects the transparency (optical performance error <1%), hardness (above 3H) and surface uniformity of the coating, and feeds the data back to the system to optimize the subsequent production process.

[0132] Although the present application has been described in connection with certain specific features and embodiments thereof, it is to be understood that it is provided as an example to the best of the applicant's knowledge and that various modifications and combinations will occur to those skilled in the art. Accordingly, all modifications, combinations and equivalents that fall within the scope of the application are intended to be included herein. It is evident that those skilled in the art can, without departing from the scope of the application, make various changes and modifications of the application to adapt it to various usages and conditions. Thus, such changes and modifications are intended to be included within the scope of the application as defined in the appended claims.

Claims

1. A high transparency PVC floor surface coating control method, characterized by, The method comprises: determining the composition of the coating material formula according to the existing coating proportion based on the target performance requirements of the coating, and marking the proportion range of the key ingredients of the coating material formula, including: determining the target performance requirements according to physical, optical and durability design requirements; analyzing the proportion of each ingredient in the existing coating formula according to the target performance requirements, and determining the main ingredients of the formula combined with the physicochemical properties of known materials; designing the coating material formula based on the main ingredients of the formula according to the existing coating proportion; marking the proportion range of each key ingredient in the coating material formula based on the target performance requirements; establishing a surface microstructure characteristic model to verify the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and generating a physical performance verification result, including: based on the target performance requirements, combined with the coating material formula and the proportion range of the key ingredients, selecting benchmark parameters related to the micro-nano scale roughness of the coating surface, including the viscosity, surface tension and spreading of the coating liquid; establishing a surface microstructure characteristic model to simulate the behavior change trend of the wettability and dynamic flow behavior of the coating liquid on the substrate surface; based on the behavior change trend, analyzing the interfacial energy distribution of the benchmark parameters on the coating surface; according to the interfacial energy distribution, establishing the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the substrate surface, including: based on the interfacial energy distribution and the benchmark parameters, calculating the coupling relationship between the spreading behavior and surface roughness of the coating liquid at the micro scale; according to the coupling relationship, establishing the micro-nano scale composite structure of the coating liquid on the substrate surface; by simulating the geometric characteristics of the micro-nano scale composite structure of the coating liquid, verifying the continuity and consistency of the geometric characteristics at multiple scales, including: according to the physical property change of the micro-nano scale composite structure, dividing the physical verification of the coating surface into multiple scales; by multi-scale simulation, calculating and simulating the fluid behavior of the coating liquid in the micro-nano scale composite structure; by calculating the transition region of the micro-nano scale composite structure at each scale, verifying the continuity of the micro-nano scale composite structure in the scale change process; based on the target performance requirements, verifying whether the spreading behavior, wettability and flowability of the micro-nano scale composite structure remain consistent under different scale conditions; based on the verification result, extracting the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the substrate surface; based on the physical performance verification result and the target performance requirements, comparing and verifying the production process parameters of the coating, including: selecting the production process parameters affecting the performance of the coating according to the target performance requirements and the physical performance verification result; developing a comparative experiment scheme for the production process parameters, setting multiple production process parameters in the horizontal direction for testing; according to the comparative experiment scheme, experimentally producing coating samples using different production process parameters; The performance data of the coating samples are subjected to performance comparison analysis, and the production process parameters meeting the target performance requirements are screened according to the results of the performance comparison analysis.

2. The high transparent PVC floor surface coating control method according to claim 1, characterized in that, The proportion range of each key ingredient in the coating material formula is calibrated, including: According to the target performance requirements and the physicochemical properties of the existing formula ingredients, the proportion range of each key ingredient is preliminarily calibrated; The proportion range preliminarily calibrated is verified by experiments, and the proportion range of each key ingredient is adjusted according to the experimental results; The sensitivity of each proportion range is analyzed, and the proportion range is further calibrated according to the results of the sensitivity analysis; Through multiple iterations and optimization adjustments, the final proportion range of each key ingredient is finally determined based on the experimental verification and sensitivity analysis.

3. The high transparent PVC floor surface coating control method according to claim 1, characterized in that, The performance data of the coating samples are subjected to performance comparison analysis, including: The performance data of the coating samples are analyzed to establish a performance comparison analysis scale; The micro features of each coating sample are associated and mapped with the macro performance according to the performance comparison analysis scale; The weight coefficient of each mapping line is calculated, and the weight coefficient is dynamically adjusted according to the performance requirements of the coating in different application environments; The weight coefficient is one-to-one corresponding to the coating sample, and the performance comparison analysis is performed according to the comparison of the weight coefficient.

4. A high-transparency PVC floor surface coating control system, characterized by, The high-transparency PVC floor surface coating control method of claim 1, wherein the system comprises: A formula composition calibration module determines the composition of the coating material formula based on the target performance requirements of the coating and the existing coating proportions, and calibrates the proportion range of the key ingredients of the coating material formula; A physical performance verification module establishes a surface microstructure characteristic model to verify the physical performance of the coating material formula in forming a surface structure with micro-nano scale composite roughness, and generates a physical performance verification result; A parameter comparison verification module compares and verifies the production process parameters of the coating based on the physical performance verification result and the target performance requirements.

5. A high-transparency PVC floor surface coating control apparatus, characterized by, The high-transparency PVC floor surface coating control method of claim 1, wherein the device comprises: A coating proportioning and blending unit comprising an automatic metering pump and a mixing device for accurately mixing each ingredient of the coating liquid according to the calibrated proportion; A surface pretreatment unit comprising a plasma treatment device and a laser cleaning device for cleaning and improving the roughness and adhesion of the PVC floor substrate surface; A coating unit comprising an automatic spraying system and a nozzle regulator for controlling the uniform distribution, thickness and coating path of the coating; A curing unit comprising a UV curing lamp tube and a hot air circulation box for curing the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards; A performance detection and feedback unit comprising an optical detector, a hardness tester, a surface scanner and a feedback control unit for detecting the optical and physical properties of the coating sample and feeding back the results to the system.

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