Liquid phase processing monitoring method and system for textile material

Abstract

The invention discloses a liquid phase treatment monitoring method and system for a textile material, and relates to the technical field of liquid phase treatment of textile materials. The method comprises the following steps: acquiring data parameters of a textile material subjected to liquid phase treatment through an analysis instrument; preprocessing the data parameters, and extracting data features; a liquid phase processing monitoring model is established according to the data characteristics to monitor the liquid phase of the textile material in real time, and a liquid phase processing monitoring score is generated; threshold value judgment is conducted according to the liquid phase processing monitoring score, and when the liquid phase processing monitoring score is smaller than a preset threshold value, an adjustment signal is generated and used for notifying adjustment of processing parameters of the liquid phase of the textile material. The specific influence of the liquid phase treatment process on the textile material can be deeply understood by analyzing the chemical fingerprint matching degree, the fiber adsorption dynamic rate and the surface energy change characteristics; the textile material subjected to liquid phase treatment is monitored in real time, and the quality problem in the treatment process can be found in time, so that adjustment measures can be taken quickly.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of liquid phase treatment of textile materials, in particular to a liquid phase treatment monitoring method and system for textile materials. BACKGROUND

[0002] Liquid phase treatment of textile materials refers to various chemical or physical treatments of textiles in a liquid medium. Through liquid phase treatment, the color, appearance, structure, hand feeling and performance of textiles can be changed. Liquid phase treatment is a very critical step in textile product processing, involving various treatment methods, including dyeing, which is one of the most common liquid phase treatments, aiming to fix color on textiles. Dyeing process can be achieved through different dyeing techniques, such as bath dyeing, jet dyeing, continuous dyeing, etc., involving direct dyes, acid dyes, reactive dyes, etc. However, how to monitor the liquid phase treated textile materials in real time, find quality problems in the treatment process, and quickly take adjustment measures to ensure product quality always meets the standards, the existing technology can ensure product quality meets the standards by sampling inspection of finished products, however, sampling inspection cannot comprehensively and real-time monitor and evaluate the liquid phase treatment. SUMMARY

[0003] Based on the above-mentioned shortcomings of the prior art, the purpose of the present application is to provide a liquid phase treatment monitoring method and system for textile materials to solve the above technical problems.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a liquid phase treatment monitoring method for textile materials, comprising:

[0005] S1: obtaining data parameters of textile materials after liquid phase treatment through an analysis instrument;

[0006] S2: preprocessing the data parameters, and extracting data features from the preprocessed data parameters;

[0007] S3: establishing a liquid phase treatment monitoring model according to the data features, real-time monitoring the liquid phase of textile materials according to the liquid phase treatment monitoring model, and generating a liquid phase treatment monitoring score;

[0008] S4: threshold judgment according to the liquid phase treatment monitoring score, generating an adjustment signal when it is less than a preset threshold, which is used to notify the adjustment of the processing parameters of the liquid phase of textile materials.

[0009] The present application further provides that the analysis instrument comprises a high-resolution spectral analyzer and a contact angle measuring instrument; and the data parameters comprise spectral data and contact angle.

[0010] The present application further provides that step S2 comprises:

[0011] S21: denoising the data parameters and performing normalization;

[0012] S22: calculating a chemical fingerprint matching degree feature according to the spectral data;

[0013] S23: calculating a fiber adsorption kinetics rate feature according to the time interval, the absorption intensity change and the concentration change;

[0014] S24: calculating a surface energy change feature according to the contact angle.

[0015] The application is further provided that step S22 includes:

[0016] S221: identifying all significant peak positions of the spectral data according to a peak detection algorithm;

[0017] S222: obtaining the wavelength position of all significant peak positions as a peak position, the maximum absorption intensity of the peak as a peak height and the width of the peak as a peak width;

[0018] S223: matching the peak position, the peak height and the peak width with an ideal chemical fingerprint to obtain a chemical fingerprint matching degree feature F, wherein the ideal chemical fingerprint is the spectral data of the target textile material.

[0019] The application is further provided that step S23 includes:

[0020] S231: obtaining the spectral data of the textile material surface within a predetermined time interval by a high-resolution spectral analyzer;

[0021] S232: calculating the absorption intensity difference ΔA between the sampled spectral data and the initial spectral data at a specific wavelength within the time interval;

[0022] S233: calculating the concentration change ΔC of the liquid phase according to the absorption intensity change, ΔC = ΔA / (ε*l), wherein ε is the molar absorption coefficient and l is the optical path length;

[0023] S234: calculating the fiber adsorption kinetics rate feature R by taking the derivative of the concentration change ΔC of the liquid phase with respect to time t.

[0024] The application is further provided that step S24 includes calculating the non-polar component and the polar component of the textile material surface by setting different test liquids. The calculation logic is The non-polar component and the polar component are added to obtain the surface energy, and the surface energy change feature YS is calculated according to the absolute value of the difference between the surface energy of the textile material before and after the liquid phase treatment, wherein, is the change in free energy from gas to liquid per unit area, and to test the nonpolar component and the polar component of the surface energy of the test liquid, YL is the surface tension of the test liquid, and theta is the contact angle.

[0025] The application is further configured that the step S3 comprises: establishing a liquid phase treatment monitoring model MS according to the chemical fingerprint matching degree feature F, the fiber adsorption kinetics rate feature R and the surface energy change feature YS, and the calculation logic is MS = w1*F + w2*R + w3*YS, wherein w1, w2 and w3 are weight coefficients of the chemical fingerprint matching degree feature F, the fiber adsorption kinetics rate feature R and the surface energy change feature YS respectively.

[0026] The application is further configured that the step S4 comprises: setting a threshold value based on historical data and quality requirements for evaluating the effect of the current liquid phase treatment, comparing the real-time monitoring score with the preset threshold value to determine whether the current treatment effect meets the quality requirements; when the monitoring score is less than the preset threshold value, it indicates that the liquid phase treatment effect is not up to standard, and an adjustment signal is generated to inform the adjustment of the liquid phase treatment parameters of the textile material.

[0027] The application also provides a liquid phase treatment monitoring system for textile materials, which comprises:

[0028] The acquisition module 201 acquires data parameters of the textile material after liquid phase treatment through an analysis instrument;

[0029] The preprocessing module 202 pre-processes the data parameters and extracts data features from the pre-processed data parameters;

[0030] The monitoring module 203 establishes a liquid phase treatment monitoring model according to the data features, performs real-time monitoring on the liquid phase of the textile material according to the liquid phase treatment monitoring model, and generates a liquid phase treatment monitoring score;

[0031] The determination module 204 performs threshold value determination according to the liquid phase treatment monitoring score, and generates an adjustment signal when the monitoring score is less than a preset threshold value, which is used to inform the adjustment of the liquid phase treatment parameters of the textile material.

[0032] The application provides a liquid phase treatment monitoring method and system for textile materials. The method obtains data parameters of textile materials after liquid phase treatment through an analytical instrument, pre-processes the data parameters, extracts data features from the pre-processed data parameters, establishes a liquid phase treatment monitoring model according to the data features, performs real-time monitoring on the liquid phase of the textile materials according to the liquid phase treatment monitoring model, and generates a liquid phase treatment monitoring score. Threshold judgment is performed according to the liquid phase treatment monitoring score, and an adjustment signal is generated when the score is less than a preset threshold, which is used to notify the adjustment of the processing parameters of the liquid phase of the textile materials. The beneficial effects include:

[0033] 1. Real-time quality control and optimization: By monitoring the textile materials after liquid phase treatment in real time, quality problems in the treatment process can be found immediately, so that adjustment measures can be taken quickly to ensure that product quality always meets the standards.

[0034] 2. Improve production efficiency and economic benefits: Real-time monitoring and automatic adjustment of processing parameters reduce the product scrap rate caused by quality problems, reduce production costs, and improve the operation efficiency and output quality of the production line, thereby enhancing the market competitiveness and economic benefits of enterprises.

[0035] 3. Strengthen process understanding and parameter optimization: By analyzing the chemical fingerprint matching degree, fiber adsorption kinetics rate and surface energy change characteristics, the specific influence of the liquid phase treatment process on the textile materials can be better understood, which provides a scientific basis for process optimization and development of new materials.

[0036] 4. Improve product consistency and reliability: Through continuous monitoring and automatic adjustment, the processing quality of each batch of products can reach the same high standard, improving the consistency and reliability of the products and enhancing the trust and satisfaction of customers.

[0037] The above description is only a summary of the technical solutions of the application. In order to more clearly understand the technical means of the application, the application 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 application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor. In the drawings:

[0039] Figure 1 A flowchart of a liquid phase treatment monitoring method for textile materials is shown for an exemplary embodiment of the application.

[0040] Figure 2 A schematic diagram of a liquid phase treatment monitoring system for a textile material is shown for an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0041] Other advantages and effects of the present application can be easily understood by those skilled in the art from the description of the present application. The present application can also be implemented or applied by other different specific embodiments, and the details in the description can be modified or changed based on different views and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, but not for limiting the protection scope of the present application.

[0042] It should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the present application, and only the components related to the present application are shown in the diagrams, but not drawn according to the number, shape and size of the components in actual implementation. The shapes, number and proportions of the components in actual implementation can be arbitrarily changed, and the layout pattern of the components can be more complex.

[0043] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application, however, it is obvious for those skilled in the art that the embodiments of the present application can be implemented without these specific details, and in other embodiments, the known structures and devices are shown in the form of block diagrams instead of details, to avoid making the embodiments of the present application difficult to understand.

[0044] Embodiment One

[0045] A liquid phase treatment monitoring method for a textile material, as shown in Figure 1 , comprises:

[0046] Step S1: obtaining data parameters of the textile material after liquid phase treatment by an analysis instrument;

[0047] Step S2: preprocessing the data parameters, and extracting data features from the preprocessed data parameters;

[0048] Step S3: establishing a liquid phase treatment monitoring model according to the data features, and generating a liquid phase treatment monitoring score by real-time monitoring of the liquid phase of the textile material according to the liquid phase treatment monitoring model;

[0049] Step S4: threshold judgment according to the liquid phase treatment monitoring score, and generating an adjustment signal when the threshold is less than a preset threshold, for notifying adjustment of the processing parameters of the liquid phase of the textile material.

[0050] Specifically, in step S1, the analysis instrument includes a high-resolution spectral analyzer and a contact angle measuring instrument; the data parameters include spectral data and contact angle, and further, the spectral data is captured at different stages of liquid treatment of the textile using the high-resolution spectral analyzer, and the wettability of the textile surface is evaluated by the contact angle measuring instrument, and the contact angle is used to reflect the effect of surface treatment.

[0051] In step S2, it includes:

[0052] S21: denoising and normalization are performed on the data parameters; the denoising is used to remove high-frequency noise in the spectral data or contact angle data, which is a prior art and will not be described here; the normalization is used to convert data of different magnitudes or units to the same scale, so as to facilitate comparison and comprehensive analysis; the normalization method includes maximum-minimum normalization and Z-score normalization, which is not limited here.

[0053] S22: calculate the chemical fingerprint matching degree feature according to the spectral data; further, step S22 includes:

[0054] S221: identify all significant peak positions of the spectral data according to a peak detection algorithm; specifically, the peak detection algorithm includes finding the position of the derivative symbol change by calculating the first or second derivative of the data, and the position of the derivative symbol change is the peak point; the preliminarily detected peak is screened, and when the height and width of the peak meet the preset conditions, it is marked as a significant peak position.

[0055] S222: obtain the wavelength position of all significant peak positions as peak position, the maximum absorption intensity of the peak as peak height, and the width of the peak as peak width; specifically, the peak position reflects the absorption or emission characteristics of a specific chemical substance, and different compounds have different electronic transition or molecular vibration energy levels, resulting in different peak positions on the spectrum; by comparing the monitored spectrum with the peak position in the ideal fingerprint, the consistency of the chemical composition can be evaluated; the peak height reflects the concentration or content of a specific chemical substance, and the greater the height or area of the peak, the higher the concentration of the corresponding compound; by comparing the peak height of the measured spectrum with the ideal fingerprint, it can be judged whether the concentration of the chemical substance in the chemical treatment reaches the expectation; the peak width reflects the dispersion degree or concentration range of the chemical substance in the sample, and the peak width is used to indicate the complexity of the textile material after liquid treatment, and monitoring the change of the peak width is used to monitor the uniformity in the chemical treatment process and whether the chemical state of the textile material is consistent.

[0056] S223: Calculate the chemical fingerprint matching degree feature F by matching the peak position, peak height and peak width with the ideal chemical fingerprint, wherein the ideal chemical fingerprint is the spectral data of the target textile material; further, construct a feature vector according to the identified peak position, peak height and peak width, the elements of the feature vector are the peak height values corresponding to the peak positions, and the indices of the feature vector correspond to the peak positions; select a matching degree calculation method to calculate the matching degree between the sample and the ideal reference sample, the matching degree calculation method includes: cosine similarity: measures the similarity of two vectors in direction, suitable for comparing the overall trend of peak position distribution; Euclidean distance: measures the "straight line" distance between two vectors, suitable for evaluating the difference in specific numerical value of peak position; Pearson correlation coefficient: measures the linear correlation between two vectors, suitable for evaluating the linear relationship between peak position and peak height; here, it is required to be set, which is not limited; calculate the matching degree between the sample and the ideal reference sample according to the selected matching degree calculation method, and the matching degree score ranges from -1 to 1, normalize the matching degree score to a standard range (0 to 1) for subsequent use of the chemical fingerprint matching degree feature F in combination with the fiber adsorption kinetics rate feature R and the surface energy change feature YS.

[0057] S23: Calculate the fiber adsorption kinetics rate feature according to the time interval, absorption intensity change and concentration change; further, step S23 includes:

[0058] S231: Obtain the spectral data of the textile material surface within a predetermined time interval by a high-resolution spectral analyzer;

[0059] S232: Calculate the absorption intensity difference ΔA between the sampled spectral data and the initial spectral data at a specific wavelength within the time interval; further, before the liquid phase treatment starts, use the high-resolution spectral analyzer to collect the initial spectral data of the textile material as the basis for subsequent comparison; within the predetermined time interval, collect the spectral data of the textile material again to monitor the changes during the liquid phase treatment; according to the chemical substances involved in the liquid phase treatment, select specific wavelengths or wavelength ranges sensitive to their absorption characteristics, for each selected wavelength point, calculate the absorption intensity difference between the initial spectral data and the sampled spectral data at each time point, the calculation logic of the absorption intensity difference ΔA is: ΔA(λ, t) = A sample (λ, t) - A initial (λ), where ΔA(λ, t) is the absorption intensity difference at wavelength λ and time t, A sample (λ, t) is the absorption intensity of the sampled spectral data at wavelength λ and time t, A initial(λ) is the absorption intensity of the initial spectrum at wavelength λ; the trend of the difference in absorption intensity at a specific wavelength over time is analyzed to determine the adsorption or reaction of the chemical substance during the liquid phase treatment; the effect of the liquid phase treatment is evaluated by the change in absorption intensity, and a significant increase in absorption intensity indicates the successful adsorption of dyes or auxiliaries on the textile material;

[0060] S233: Calculate the concentration change ΔC of the liquid phase according to the change in absorption intensity ΔA / (ε*l), where ε is the molar absorption coefficient and l is the optical path length; specifically, the molar absorption coefficient (absorbance per mole per centimeter) is a specific chemical substance at a specific wavelength, and the optical path length is the path length of light through the solution, usually in centimeters (cm), the molar absorption coefficient and the optical path length are obtained by measurement, and the concentration change ΔC of the liquid phase is the concentration change of the solute in a specific time interval, which is the change in the concentration of the chemical substance during the adsorption process of the textile material.

[0061] S234: Calculate the fiber adsorption kinetics rate characteristic R according to the derivative of the concentration change ΔC of the liquid phase with respect to time t; specifically, in step S234, the fiber adsorption kinetics rate characteristic is calculated according to the derivative of the concentration change of the chemical substance in the liquid phase with respect to time, which is based on the principle of kinetics and is used to quantify the rate of adsorption of the chemical substance by the textile material; first, according to the calculation in step S233, the concentration change ΔC of the liquid phase at different time points is obtained; the fiber adsorption kinetics rate characteristic R is defined as the rate of change of concentration with respect to time, i.e. the derivative of concentration with respect to time: R = d(ΔC) / dt; in actual operation, since the data is discrete, the derivative can be approximated by calculating the difference in concentration change between adjacent time points: R = (ΔC t2 - ΔC t1 ) / (t2-t1), where t2 and t1 are two consecutive time points, and ΔC t2 and ΔC t1 are the concentration changes at these two time points; by calculating the fiber adsorption kinetics rate characteristic R during the entire liquid phase treatment process, the speed of adsorption of the chemical substance by the textile material during the liquid phase treatment is reflected.

[0062] S24: Calculate the surface energy change characteristic according to the contact angle; further, step S24 includes calculating the non-polar component and the polar component of the surface of the textile material by setting different test liquids, and the calculation logic is the non-polar component and the polar component are added to obtain the surface energy, and the surface energy change characteristic YS is calculated according to the absolute value of the difference in surface energy of the textile material before and after the liquid phase treatment, where ΔG = γL - γSL and For testing the non-polar component and polar component of the surface energy of the liquid, YL is the surface tension of the test liquid, and θ is the contact angle; further, the test liquid with different polarity is selected, including deionized water (strong polarity, mainly providing the polar component) and dimethylbenzene (strong non-polar, mainly providing the non-polar component); the test liquid is titrated on the surface of the textile material, and the contact angle formed is measured; the surface energy change characteristics are calculated using the above logic, which is used to evaluate the influence of liquid phase treatment on the surface properties of the textile material, including increasing or reducing the hydrophilicity or hydrophobicity of the material surface.

[0063] In step S3, the liquid phase treatment monitoring model MS is established according to the chemical fingerprint matching degree feature F, the fiber adsorption kinetics rate feature R and the surface energy change feature YS, and the calculation logic is MS = w1*F + w2*R + w3*YS, wherein w1, w2 and w3 are weight coefficients of the chemical fingerprint matching degree feature F, the fiber adsorption kinetics rate feature R and the surface energy change feature YS, respectively; specifically, in step S3, the establishment of the liquid phase treatment monitoring model is performed by integrating the chemical fingerprint matching degree feature, the fiber adsorption kinetics rate feature and the surface energy change feature, and the purpose of the liquid phase treatment monitoring model is to comprehensively evaluate the liquid phase treatment effect of the textile material to generate a monitoring score, which reflects the treatment quality; specifically, the liquid phase treatment monitoring score is used to evaluate the treatment quality of the textile material; the chemical fingerprint matching degree feature is used to reflect the similarity between the actual chemical fingerprint and the ideal chemical fingerprint; the fiber adsorption kinetics rate feature represents the rate of adsorption of the textile material to the chemical substance; and the surface energy change feature is used to measure the change of the surface energy of the textile material before and after the liquid phase treatment.

[0064] In step S4, a threshold value is set based on historical data and quality requirements to evaluate the effect of the current liquid phase treatment. The real-time monitoring score is compared with the preset threshold value to determine whether the current treatment effect meets the quality requirements. When the monitoring score is less than the preset threshold value, it indicates that the liquid phase treatment effect is not up to standard, and an adjustment signal is generated to notify the adjustment of the treatment parameters of the liquid phase of the textile material. Specifically, by analyzing historical liquid phase treatment data and product quality records, a threshold value is determined to evaluate whether the liquid phase treatment effect meets the expected quality standards. The threshold value can be adjusted according to new quality data and production requirements to adapt to changes in the production process and new quality targets. During the liquid phase treatment process, the model established in step S3 is used to calculate the monitoring score in real time. The real-time calculated monitoring score is compared with the preset threshold value to determine the current treatment effect. When the monitoring score is less than the preset threshold value, it indicates that the current liquid phase treatment effect does not meet the quality requirements, and the system automatically generates an adjustment signal. The adjustment signal can be a human-readable warning, prompt information, or an automatic system recognizable control instruction. According to the adjustment signal, the operator or the automatic system changes the liquid phase treatment parameters, including the concentration of the chemical agent, the treatment time and the treatment temperature, according to the pre-set adjustment strategy, in order to improve the treatment effect. By implementing step S4, real-time quality control of the liquid phase treatment process of the textile material is achieved, quality problems in the treatment process are quickly responded to, and the quality of the final product is ensured to meet the preset standards, improving production efficiency, reducing waste rate and improving product quality.

[0065] Example Two

[0066] Please refer to Figure 2 The exemplary liquid phase treatment monitoring system for textile materials includes:

[0067] The acquisition module 201 acquires data parameters of the textile material after liquid phase treatment through an analysis instrument.

[0068] The preprocessing module 202 preprocesses the data parameters and extracts data features from the preprocessed data parameters.

[0069] The monitoring module 203 establishes a liquid phase treatment monitoring model according to the data features, performs real-time monitoring on the liquid phase of the textile material according to the liquid phase treatment monitoring model, and generates a liquid phase treatment monitoring score.

[0070] The determination module 204 determines the threshold value according to the liquid phase treatment monitoring score. When the monitoring score is less than the preset threshold value, an adjustment signal is generated to notify the adjustment of the treatment parameters of the liquid phase of the textile material.

[0071] It should be noted that the textile material liquid treatment monitoring system provided by the above embodiment and the textile material liquid treatment monitoring method provided by the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, which will not be repeated here. The textile material liquid treatment monitoring system provided by the above embodiment can be used in actual application, and the above functions can be completed by different functional modules according to the needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0072] The above embodiments can be realized all or partially by software, hardware, firmware or any combination thereof. When realized by software, the above embodiments can be realized all or partially in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. containing one or more available medium sets. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid state disk.

[0073] It should be understood that the term "and / or" herein merely describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent three cases of A alone, A and B together, and B alone, wherein A and B can be singular or plural. In addition, the character " / " herein generally represents that the front and rear associated objects are in an "or" relationship, but can also represent an "and / or" relationship, which can be understood according to the context.

[0074] In this application, "at least one" means one or more, "multiple" means two or more. "At least one of the following (one)" or the like means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0075] It should be understood that the size of the sequence of the above processes in various embodiments of the present application does not mean the order of execution, and the execution order of the processes should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0076] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0077] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0078] In several embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0079] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0080] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0081] The functions, if implemented in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in part, or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and various other media that can store program codes.

[0082] The above is merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which shall be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for monitoring the liquid phase treatment of textile materials, characterized in that, include: S1: Obtain data parameters of textile materials after liquid phase treatment using analytical instruments; S2: Preprocess the data parameters and extract data features from the preprocessed data parameters; S3: Establish a liquid phase treatment monitoring model based on the data characteristics, monitor the liquid phase of textile materials in real time based on the liquid phase treatment monitoring model, and generate a liquid phase treatment monitoring score. S4: Determine the threshold based on the liquid phase treatment monitoring score. When the score is less than the preset threshold, generate an adjustment signal to notify the adjustment of the liquid phase treatment parameters of the textile material.

2. The method for monitoring liquid phase treatment of textile materials according to claim 1, characterized in that, The analytical instruments include a high-resolution spectrometer and a contact angle measuring instrument; the data parameters include spectral data and contact angle.

3. The method for monitoring liquid phase treatment of textile materials according to claim 2, characterized in that, Step S2 includes: S21: Denoise the data parameters and normalize them; S22: Calculate the chemical fingerprint matching characteristics based on spectral data; S23: Calculate the fiber adsorption kinetic rate characteristics based on time interval, changes in absorption intensity, and changes in concentration; S24: Calculate the surface energy change characteristics based on the contact angle.

4. The method for monitoring liquid phase treatment of textile materials according to claim 3, characterized in that, Step S22 includes: S221: Identify all significant peak positions in the spectral data based on the peak detection algorithm; S222: Obtain the wavelength position of all significant peaks and record it as peak position, the maximum absorption intensity of the peak as peak height, and the width of the peak as peak width; S223: The matching degree of the peak position, peak height and peak width with the ideal chemical fingerprint is calculated to obtain the chemical fingerprint matching degree feature F, wherein the ideal chemical fingerprint is the spectral data of the target textile material.

5. The method for monitoring liquid phase treatment of textile materials according to claim 3, characterized in that, Step S23 includes: S231: Acquire spectral data of the surface of textile materials within a predetermined time interval using a high-resolution spectrometer; S232: Calculate the difference ΔA in absorption intensity at a specific wavelength between the sampled spectral data and the initial spectral data within the time interval; S233: Calculate the concentration change of the liquid phase ΔC = ΔA / (ε*l) based on the change in absorption intensity, where ε is the molar absorptivity and l is the optical path length; S234: The fiber adsorption kinetic rate characteristic R is obtained by calculating the derivative of the liquid phase concentration change ΔC with respect to time t.

6. The method for monitoring liquid phase treatment of textile materials according to claim 3, characterized in that, Step S24 includes calculating the nonpolar component of the textile material surface by setting different test solutions. and polar components The calculation logic is as follows Nonpolar components and polar components The surface energy is obtained by summing the values. The surface energy change characteristic YS is calculated by taking the absolute value of the surface energy difference before and after liquid phase treatment of the textile material. This represents the change in free energy per unit area from gas to liquid. and YL represents the nonpolar and polar components of the surface energy of the test liquid, θ represents the surface tension of the test liquid, and θ represents the contact angle.

7. The method for monitoring liquid phase treatment of textile materials according to claim 1, characterized in that, Step S3 includes: establishing a liquid phase treatment monitoring model MS based on the chemical fingerprint matching degree feature F, the fiber adsorption kinetic rate feature R, and the surface energy change feature YS. The calculation logic is MS = w1*F + w2*R + w3*YS, where w1, w2, and w3 are the weighting coefficients of the chemical fingerprint matching degree feature F, the fiber adsorption kinetic rate feature R, and the surface energy change feature YS, respectively.

8. The method for monitoring liquid phase treatment of textile materials according to claim 1, characterized in that, Step S4 includes: setting a threshold based on historical data and quality requirements to evaluate the effect of the current liquid phase treatment; comparing the real-time monitoring score with the preset threshold to determine whether the current treatment effect meets the quality requirements; when the monitoring score is less than the preset threshold, it indicates that the liquid phase treatment effect is not up to standard, generating an adjustment signal to notify the adjustment of the liquid phase treatment parameters of the textile material.

9. A liquid phase treatment monitoring system for textile materials, characterized in that, include: Acquisition module: Acquires data parameters of textile materials after liquid phase treatment using analytical instruments; Preprocessing module: preprocesses the data parameters and extracts data features from the preprocessed data parameters; Monitoring module: Establishes a liquid phase treatment monitoring model based on the data characteristics, performs real-time monitoring of the liquid phase of textile materials based on the liquid phase treatment monitoring model, and generates a liquid phase treatment monitoring score; Judgment module: Based on the liquid phase treatment monitoring score, a threshold judgment is made. When the score is less than the preset threshold, an adjustment signal is generated to notify the adjustment of the liquid phase treatment parameters of the textile material.

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