A method, system and device for monitoring haze of polyurethane film for production line

Abstract

The application discloses a polyurethane film haze monitoring method, system and equipment for a production line, relates to the related technical field of data processing, and comprises the following steps: obtaining the historical production records of similar polyurethane films of a target polyurethane film; taking a plurality of production control parameters as independent variables; extracting a first haze as a dependent variable; obtaining a key production index set according to the correlation sensitivity of the independent variables and the dependent variables; performing feature screening and extraction on the target production record to obtain target key control parameters; introducing a haze feedback adjustment function for adjustment analysis to obtain the target haze of the target polyurethane film. The application solves the technical problems that the existing polyurethane film haze monitoring lacks real-time monitoring of the production process, it is difficult to accurately obtain key control parameters, and the accuracy and efficiency of polyurethane film haze monitoring are poor, and the stability of the haze monitoring result is not high, and achieves the technical effects of improving the efficiency, accuracy and stability of the monitoring result of the haze monitoring.

Description

Technical Field

[0001] This application relates to the field of data processing technology, specifically to a method, system, and equipment for monitoring the haze of a polyurethane membrane used in a production line. Background Technology

[0002] Polyurethane film, widely used in packaging, construction, and automotive industries, has its haze (the degree of turbidity in transparent materials) as a crucial standard for measuring product quality. With the continuous advancement of science and technology and the widespread application of automated production technology, traditional methods for monitoring polyurethane film haze on production lines are no longer sufficient to meet the needs of modern enterprises. On traditional production lines, monitoring and controlling polyurethane film haze often faces numerous challenges. In the past, monitoring polyurethane film haze often relied on manual inspection and simple physical testing methods, which were not only inefficient but also resulted in unstable and unpredictable monitoring results. Furthermore, traditional polyurethane film haze monitoring often only focused on the haze value of the final product, lacking real-time monitoring and adjustment of key control parameters during the production process, making it difficult to detect and resolve problems in the production process in a timely manner.

[0003] Therefore, current technologies for monitoring the haze of polyurethane membranes used in production lines suffer from several technical problems, including a lack of real-time monitoring of the production process, difficulty in accurately obtaining key control parameters, and consequently, poor accuracy and efficiency in monitoring the haze of polyurethane membranes and low stability of the monitoring results. Summary of the Invention

[0004] This application provides a method, system, and equipment for monitoring the haze of polyurethane membranes used in production lines. By employing techniques such as sensitivity analysis, feature extraction, and the construction of feedback adjustment functions, it solves the technical problems of existing polyurethane membrane haze monitoring, such as the lack of real-time monitoring of the production process, difficulty in accurately obtaining key control parameters, and consequently, poor accuracy and efficiency of polyurethane membrane haze monitoring, as well as low stability of haze monitoring results. The application achieves the technical effect of improving the efficiency, accuracy, and stability of haze monitoring results.

[0005] This application provides a method for monitoring the haze of a polyurethane membrane used in a production line. The method includes: acquiring historical production records of similar polyurethane membranes of the target polyurethane membrane, the historical production records including a first production record of a first polyurethane membrane; using multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables; extracting a first haze from the first production record and using the first haze as a dependent variable, the first haze referring to the haze of the first polyurethane membrane; analyzing the correlation sensitivity between the independent and dependent variables to obtain a set of key production indicators; performing feature screening and extraction on the target production record of the target polyurethane membrane based on the set of key production indicators to obtain target key control parameters; and introducing a haze feedback adjustment function to adjust and analyze the target key control parameters and a predetermined target haze to obtain the target haze of the target polyurethane membrane.

[0006] In a possible implementation, a method for monitoring the haze of a polyurethane membrane used in a production line further includes the following processing: reading predetermined quality characteristics and collecting multi-dimensional quality characteristics of the target polyurethane membrane based on the predetermined quality characteristics to obtain target quality characteristic information; introducing a membrane quality evaluation function to analyze the target quality characteristic information to obtain a target comprehensive quality index of the target polyurethane membrane; and adjusting the target haze based on the target comprehensive quality index; wherein the predetermined quality characteristics include physical characteristics, mechanical characteristics, and chemical characteristics, the physical characteristics include at least thickness and uniformity, the mechanical characteristics include at least tensile strength, tear strength, elongation, and abrasion resistance, and the chemical characteristics refer to corrosion resistance.

[0007] In one possible implementation, a method for monitoring the haze of a polyurethane membrane in a production line further includes the following processing: the expression for the membrane quality assessment function is as follows:

[0008] ;

[0009] in, The target polyurethane film refers to The target comprehensive quality index, These refer to the quality indices of the physical characteristics, mechanical characteristics, and chemical characteristics, respectively. It refers to the first of the physical characteristics. The indicator data of each characteristic indicator, It refers to the first of the chemical characteristics. The indicator data of each characteristic indicator, This refers to the corrosion resistance index data. and They refer to the first The first feature index, the first The weighting coefficients of each feature indicator, , , , and These refer to the first coefficient, the second coefficient, and the third coefficient, respectively. .

[0010] In a possible implementation, a method for monitoring the haze of a polyurethane membrane in a production line further includes the following steps: drawing a scatter plot based on the mapping relationship between the independent variable and the dependent variable; extracting a first scatter plot from the scatter plot, where the first scatter plot refers to the scatter plot of a first independent variable among the independent variables and the dependent variable, and the first independent variable is any one of the independent variables; when the first maximum information coefficient obtained by analyzing the first scatter plot meets the maximum information coefficient limit, adding the first production indicator corresponding to the first independent variable to the set of key production indicators.

[0011] In a possible implementation, a method for monitoring the haze of a polyurethane membrane in a production line further includes the following processing: reading a predetermined gridding scheme, the predetermined gridding scheme including multiple partitioning schemes; partitioning the first scatter plot based on the multiple partitioning schemes to obtain multiple partitioning results; analyzing the first partitioning result among the multiple partitioning results to obtain a first maximum mutual information value set; normalizing the first maximum mutual information value set and filtering to obtain a first target maximum mutual information value set; and comparing the first target maximum mutual information value set to obtain the first maximum information coefficient.

[0012] In a possible implementation, a method for monitoring the haze of a polyurethane membrane in a production line further includes the following steps: reading predetermined key control parameters; comparing the predetermined key control parameters with the target key control parameters to obtain a key control deviation; and using the key control deviation as a feedback adjustment coefficient according to the haze feedback adjustment function to adjust and calculate the predetermined target haze, thereby obtaining the target haze.

[0013] In a possible implementation, a method for monitoring the haze of a polyurethane membrane in a production line further includes the following processing: extracting multiple production control parameters from the first production record based on the set of key production indicators to obtain a first key control parameter; when the first control similarity between the first key control parameter and the predetermined key control parameter reaches a control similarity limit, the first haze is recorded as the predetermined target haze.

[0014] This application also provides a polyurethane membrane haze monitoring system for production lines, comprising:

[0015] The system includes: a historical production record acquisition module, which acquires historical production records of similar polyurethane films of the target polyurethane film, including a first production record of the first polyurethane film; a production control parameter acquisition module, which uses multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables; a first haze extraction module, which extracts the first haze from the first production record and uses the first haze as the dependent variable, where the first haze refers to the haze of the first polyurethane film; a key production indicator set acquisition module, which analyzes and obtains a key production indicator set based on the correlation sensitivity between the independent and dependent variables; a target key control parameter acquisition module, which performs feature filtering and extraction on the target production record of the target polyurethane film based on the key production indicator set to obtain target key control parameters; and a target haze acquisition module, which introduces a haze feedback adjustment function to adjust and analyze the target key control parameters and a predetermined target haze to obtain the target haze of the target polyurethane film.

[0016] This application also provides an electronic device, including:

[0017] Memory, used to store executable instructions;

[0018] The processor, when executing executable instructions stored in the memory, implements a method for monitoring the haze of a polyurethane membrane for use in a production line.

[0019] This application proposes a method, system, and equipment for monitoring the haze of polyurethane membranes used in production lines. The method involves obtaining historical production records of similar polyurethane membranes, including a first production record for a first polyurethane membrane. Multiple production control parameters corresponding to various production indicators in the first production record are used as independent variables. A first haze value is extracted from the first production record and used as the dependent variable, referring to the haze of the first polyurethane membrane. A set of key production indicators is obtained based on the correlation sensitivity between the independent and dependent variables. Based on this set of key production indicators, feature extraction is performed on the target production record of the target polyurethane membrane to obtain target key control parameters. A haze feedback adjustment function is introduced to adjust the target key control parameters against a predetermined target haze value, thereby obtaining the target haze value of the target polyurethane membrane. This method solves the technical problems of existing polyurethane membrane haze monitoring, such as the lack of real-time monitoring of the production process, difficulty in accurately obtaining key control parameters, and consequently, poor accuracy and efficiency, and low stability of haze monitoring results. The method improves the efficiency, accuracy, and stability of haze monitoring results. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0021] Figure 1 A schematic flowchart of a polyurethane membrane haze monitoring method for a production line is provided in this application embodiment;

[0022] Figure 2 A schematic diagram of a polyurethane membrane haze monitoring system for a production line is provided as an embodiment of this application;

[0023] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0024] Explanation of reference numerals in the attached drawings: Historical production record acquisition module 10, production control parameter acquisition module 20, first haze extraction module 30, key production indicator set acquisition module 40, target key control parameter acquisition module 50, target haze acquisition module 60, input device 401, processor 402, memory 403, output device 404. Detailed Implementation

[0025] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application.

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0028] This application provides a method for monitoring the haze of a polyurethane membrane used in a production line, such as... Figure 1 As shown, the method includes:

[0029] Step S100: Obtain historical production records of similar polyurethane films to the target polyurethane film. These historical production records include the first production record of the first polyurethane film. Similar polyurethane films refer to polyurethane films that are similar to or identical to the target polyurethane film in terms of raw materials, production processes, and product applications. Obtaining historical production records of similar polyurethane films to the target polyurethane film specifically means obtaining production records of polyurethane films with similar or identical production conditions and requirements. Specifically, historical production records include the first production record of the first polyurethane film. The first polyurethane film refers to any one of the similar polyurethane films, and the first production record refers to the production record of any one of the similar polyurethane films. These records typically include information on raw material usage, such as the type, specifications, and quantity of major raw materials like polyols, isocyanates, catalysts, and foaming agents; production process parameters, such as key process parameters like reaction temperature, pressure, and time; product quality data, such as performance indicators like haze, tensile strength, and tear strength of the polyurethane film; and records of problems encountered during the production process, such as equipment failures, raw material issues, and process fluctuations.

[0030] Step S200 involves using multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables. Production indicators are key parameters for measuring the polyurethane film production process and product quality, typically including the quality of raw materials, production process parameters, and the physical properties of the product. Production control parameters are operational variables used during the production process to control production indicators to achieve the expected product quality. There is a direct correspondence between production indicators and production control parameters. For example, in the production of polyurethane films, the hydroxyl value and NCO content (i.e., the purity of isocyanate) of raw materials are key indicators affecting product performance, and these two indicators can be controlled by adjusting the selection and dosage of raw materials (i.e., production control parameters). Production process parameters (such as reaction temperature, time, and pressure) are also important production control parameters, directly affecting the tensile strength, elongation, haze, and other performance indicators of the product. In summary, using multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables means establishing a functional relationship between key indicators and corresponding control parameters in the production process, so as to optimize the production process and product quality by adjusting the control parameters.

[0031] Step S300: Extract the first haze from the first production record and use the first haze as the dependent variable. The first haze refers to the haze of the first polyurethane film. In the production process of polyurethane film, data directly related to the production batch or time period is extracted from the first production record (i.e., the record of a specific production batch or time period). This haze data is used as the dependent variable to analyze the influence of other production control parameters. Specifically, haze is a physical quantity that describes the degree of unclear or turbidity of transparent or translucent materials. In the first production record, haze is an important indicator for measuring product quality. It is usually expressed as a percentage of the ratio of diffuse transmitted light flux to parallel transmitted light flux of a sample measured by a standard haze meter under specified conditions. The first haze specifically refers to the haze value of the polyurethane film corresponding to the first production record. Using the first haze as the dependent variable means extracting the first haze and using it as the dependent variable to establish a mathematical model between the production control parameters (independent variables) and haze (dependent variable). That is, analyzing the influence of other production control parameters (independent variables) on haze, predicting haze values ​​under different production conditions, so as to find the optimal production conditions that can optimize the haze value, and then adjusting the production parameters to optimize product quality.

[0032] Step S400: Based on the correlation sensitivity between the independent and dependent variables, a set of key production indicators is obtained. Specifically, the correlation coefficient between production control parameters (independent variables) and their corresponding haze values ​​(dependent variables) is calculated to reflect the strength and direction of the relationship between the independent and dependent variables. Based on the correlation analysis, sensitivity analysis is performed to study the degree of influence of uncertain factors (various production control parameters) on the target variable (haze). Through sensitivity analysis, several production control parameters that are highly sensitive to haze are identified; that is, small changes in these production control parameters can cause significant changes in haze. Then, based on the sensitivity analysis results, the production control parameters that have a significant impact on the haze of the polyurethane film are identified as key production indicators. Finally, all identified key production indicators are combined into a set, i.e., a set of key production indicators. For example, if the sensitivity analysis finds that reaction temperature, reaction time, and catalyst dosage are the three production control parameters most sensitive to haze, then these three parameters can be identified as key production indicators and form a set of key production indicators.

[0033] In one possible implementation, step S400 further includes step S410, plotting a scatter plot based on the mapping relationship between the independent variable and the dependent variable. Plotting the scatter plot based on the mapping relationship between the independent variable and the dependent variable visually displays the correlation or trend between the production control parameters and the polyurethane film haze. Specifically, the independent variable is used as the x-axis and the dependent variable as the y-axis to plot the scatter plot. Each data point represents a set of observed values ​​for the independent and dependent variables. Based on the analysis results of the scatter plot, the influence of the independent variable on the dependent variable is explained. For example, if there is a negative correlation between reaction temperature and haze, lowering the reaction temperature may lower the haze. The implementation also includes step S420, extracting a first scatter plot from the scatter plot. The first scatter plot refers to the scatter plot of a first independent variable among the independent variables and the dependent variable, where the first independent variable is any one of the independent variables.

[0034] Step S400 further includes step S430: when the first maximum information coefficient obtained from analyzing the first scatter plot meets the maximum information coefficient limit, the first production indicator corresponding to the first independent variable is added to the key production indicator set. When the first maximum information coefficient obtained from analyzing the first scatter plot meets or exceeds the set maximum information coefficient limit, it usually means that there is a strong correlation or dependency between the first independent variable (which may be a production parameter or condition) and the dependent variable (such as the quality characteristics of polyurethane film). In this case, the first production indicator corresponding to the first independent variable is added to the key production indicator set. Specifically, the maximum information coefficient is a statistic used to measure the strength of the correlation between two variables, taking into account all possible relationships between variables. Its value ranges from 0 to 1, and the larger the value, the stronger the correlation. The maximum information coefficient limit refers to a critical value set based on historical data or standards. When the maximum information coefficient limit exceeds this limit, it is considered that there is a significant correlation between the two variables, and the corresponding first production indicator is added to the key production indicator set.

[0035] In one possible implementation, step S430 further includes step S431, reading a predetermined gridding scheme, which includes multiple partitioning schemes. The predetermined gridding scheme includes multiple partitioning schemes, each defining how the data space is divided into different regions or grids. It also includes step S432, performing partitioning processing on the first scatter plot based on the multiple partitioning schemes to obtain multiple partitioning results. According to the predetermined multiple partitioning schemes, the first scatter plot (i.e., the graph showing the relationship between two variables) is partitioned, grid lines are drawn on the scatter plot, and data points are assigned to different grids or partitions. After the partitioning processing is completed, multiple partitioning results are obtained, each result representing an independent region or grid on the scatter plot and containing data points located within that region.

[0036] Step S430 further includes step S433, analyzing the first partition result among the multiple partition results to obtain a first maximum mutual information value set. A first partition result is randomly selected from the multiple partition results for analysis, for example, calculating the correlation and dependency between data points within that partition. Specifically, when analyzing the first partition result, maximum mutual information is used as a measure of the relationship between variables, measuring the shared information between two random variables. By calculating the maximum mutual information value between all possible pairs of variables within the first partition, a set is obtained, called the first maximum mutual information value set. Step S434 further includes normalizing the first maximum mutual information value set and filtering to obtain a first target maximum mutual information value set. Step S435 further includes comparing the first target maximum mutual information value set to obtain the first maximum information coefficient. By comparing the values ​​in the first target maximum mutual information value set, a single numerical value, the first maximum information coefficient, is finally obtained, representing the maximum possible correlation between the independent and dependent variables within the first partition.

[0037] Step S500: Based on the set of key production indicators, feature extraction is performed on the target production records of the target polyurethane membrane to obtain the target key control parameters. The set of key production indicators for the haze of the target polyurethane membrane is usually related to factors such as raw material type, process conditions (e.g., temperature, pressure, reaction time), and the type and amount of additives or catalysts. Feature extraction is performed on the target production records of the target polyurethane membrane. Specifically, based on the set of key production indicators, key control parameters related to the production of the target polyurethane membrane are screened and extracted from the target production records of the target polyurethane membrane. Finally, the target key control parameters affecting the haze of the target polyurethane membrane are determined. These control parameters are variables that can be adjusted or controlled during the production process and directly affect product quality. For example, raw material control parameters (e.g., hydroxyl value of polyether polyol, purity of isocyanate, type and amount of catalyst, etc.), production process control parameters (reaction temperature, reaction time, stirring speed, etc.), and additive control parameters (type and amount of chain extender, flame retardant, etc.).

[0038] Step S600: Introduce a haze feedback adjustment function to adjust and analyze the target key control parameters and the predetermined target haze to obtain the target haze of the target polyurethane film. The haze adjustment function is trained and optimized using historical production data (including production control parameters and corresponding haze values) to establish an accurate mapping relationship, describing the relationship between target key control parameters and haze values. The predetermined target haze is the expected haze value set based on product and market demands. The target key control parameters are adjusted and analyzed against the predetermined target haze. Specifically, the target key control parameters are used as input, and the predicted haze value is calculated through the haze feedback adjustment function. The predicted haze value is compared with the predetermined target haze. If there is a difference, the target key control parameters are adjusted according to the magnitude and direction of the difference. The adjustment analysis is repeated until the predicted haze value approaches or reaches the predetermined target haze. During the adjustment analysis, a threshold can be set to determine whether the predicted haze value is close to the predetermined target haze. For example, if the predetermined target haze is 10%, a ±1% threshold is set, meaning that when the predicted haze value is between 9% and 11%, it is considered to be close to the target haze.

[0039] In one possible implementation, step S600 further includes step S610, reading predetermined quality characteristics and collecting multi-dimensional quality characteristics of the target polyurethane film based on the predetermined quality characteristics to obtain target quality characteristic information. The predetermined quality characteristics may include specific requirements for the polyurethane film in terms of performance, function, reliability, durability, ease of use, safety, maintainability, compatibility, and scalability, such as the polyurethane film's abrasion resistance, flexibility, tear resistance, oil resistance, low-temperature resistance, heat aging resistance, ozone resistance, radiation resistance, electrical insulation, and biocompatibility. The multi-dimensional quality characteristics collected on the target polyurethane film based on the predetermined quality characteristics may include performance characteristics, such as abrasion resistance, flexibility, and tear resistance; weather resistance characteristics, such as low-temperature resistance, heat aging resistance, and ozone resistance; chemical stability characteristics, such as oil resistance and chemical resistance; and surface quality characteristics, such as defects like black spots and blemishes. The process also includes step S620, which involves introducing a membrane quality assessment function to analyze the target quality characteristic information and obtain the target comprehensive quality index of the target polyurethane membrane. The collected target quality characteristic information is analyzed using the membrane quality assessment function. For example, different weights are assigned based on the varying degrees of influence of different quality characteristics on the overall quality of the polyurethane membrane. The quality characteristics are then weighted, and the integrated target quality characteristic information is input into the membrane quality assessment function. A comprehensive quality index, i.e., the target comprehensive quality index of the target polyurethane membrane, is calculated, reflecting the overall performance of the polyurethane membrane in multiple aspects.

[0040] Step S600 further includes step S630, adjusting the target haze based on the target comprehensive quality index. The relationship between the target haze and the comprehensive quality index is analyzed to determine the degree and trend of their mutual influence. Then, based on the target comprehensive quality index and the target haze, key control parameters in the production process are adjusted to ensure that the adjusted parameter combination simultaneously meets the requirements of both the comprehensive quality index and haze. Step S640 further includes the predetermined quality characteristics, which include physical characteristics, mechanical characteristics, and chemical characteristics. The physical characteristics include at least thickness and uniformity; the mechanical characteristics include at least tensile strength, tear strength, elongation, and abrasion resistance; and the chemical characteristics refer to corrosion resistance.

[0041] In one possible implementation, step S620 further includes the following expression for the membrane quality assessment function:

[0042] ;

[0043] in, The target polyurethane film refers to The target comprehensive quality index, These refer to the quality indices of the physical characteristics, mechanical characteristics, and chemical characteristics, respectively. It refers to the first of the physical characteristics. The indicator data of each characteristic indicator, It refers to the first of the chemical characteristics. The indicator data of each characteristic indicator, This refers to the corrosion resistance index data. and They refer to the first The first feature index, the first The weighting coefficients of each feature indicator, , , , and These refer to the first coefficient, the second coefficient, and the third coefficient, respectively. .

[0044] In one possible implementation, step S600 further includes step S650, reading predetermined key control parameters. The predetermined key control parameters refer to key control parameters pre-set based on historical data during polyurethane film production. It also includes step S660, comparing the predetermined key control parameters with the target key control parameters to obtain a key control deviation. After obtaining the predetermined key control parameters, these parameters are compared with the target key control parameters, where the target key control parameters refer to the ideal state or target value that the polyurethane film production process hopes to achieve. By comparing these two parameters, the system can calculate the key control deviation, i.e., the difference between the current state and the target state. The key control deviation represents the difference between the actual state and the target state; for example, a positive key control deviation (indicating the current state is higher than the target state) and a negative value (indicating the current state is lower than the target state) are both possible. It also includes step S670, using the key control deviation as a feedback adjustment coefficient according to the haze feedback adjustment function to adjust and calculate the predetermined target haze, thereby obtaining the target haze. The haze feedback adjustment function is used to handle critical control deviations. The function takes the critical control deviation as input and outputs a feedback adjustment coefficient. The feedback adjustment coefficient is then used to adjust the predetermined target haze value. Specifically, the adjustment coefficient is applied to the target haze value. Based on the magnitude and direction of the feedback adjustment coefficient, the control parameters or output of the system are adjusted to reduce the deviation and approach the target value, ultimately obtaining a new target haze value that reflects the response and adjustment to the actual state of the polyurethane membrane.

[0045] In one possible implementation, step S670 further includes step S671, which involves iterating through and extracting the plurality of production control parameters in the first production record based on the set of key production indicators to obtain a first key control parameter. The first key control parameter is an important parameter determined according to the set of key production indicators, which directly affects the performance of the polyurethane film and has a potential matching relationship with a predetermined key control parameter. The implementation also includes step S672, where, when the first control similarity between the first key control parameter and the predetermined key control parameter reaches a control similarity limit, the first haze is recorded as the predetermined target haze. The control similarity limit is a preset threshold used to determine whether the similarity between two parameters is sufficiently high. If the first control similarity between the first key control parameter and the predetermined key control parameter reaches the control similarity limit, it indicates that the current production state matches the predetermined target state. Therefore, the first haze is recorded as the predetermined target haze, signifying that under the current production conditions, the obtained haze value is considered to meet the predetermined target requirements.

[0046] In the above text, refer to Figure 1 A method for monitoring the haze of a polyurethane membrane used in a production line according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2A polyurethane membrane haze monitoring system for a production line is described according to an embodiment of the present invention.

[0047] According to an embodiment of the present invention, a polyurethane membrane haze monitoring system for production lines addresses the technical problems of existing polyurethane membrane haze monitoring systems, such as the lack of real-time monitoring of the production process, difficulty in accurately acquiring key control parameters, and consequently, poor accuracy and efficiency, and low stability of haze monitoring results. The system achieves the technical effect of improving the efficiency, accuracy, and stability of haze monitoring results. The polyurethane membrane haze monitoring system for production lines includes: a historical production record acquisition module 10, a production control parameter acquisition module 20, a first haze extraction module 30, a key production indicator set acquisition module 40, a target key control parameter acquisition module 50, and a target haze acquisition module 60.

[0048] Historical production record acquisition module 10 is used to acquire historical production records of similar polyurethane films of the target polyurethane film, and the historical production records include the first production records of the first polyurethane film.

[0049] Production control parameter acquisition module 20, wherein the production control parameter acquisition module 20 is used to take multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables;

[0050] The first haze extraction module 30 is used to extract the first haze from the first production record and use the first haze as the dependent variable. The first haze refers to the haze of the first polyurethane film.

[0051] Key production indicator set acquisition module 40 is used to analyze and obtain the key production indicator set based on the correlation sensitivity between the independent variable and the dependent variable.

[0052] The target key control parameter acquisition module 50 is used to perform feature screening and extraction on the target production record of the target polyurethane film based on the set of key production indicators to obtain the target key control parameters.

[0053] The target haze acquisition module 60 is used to introduce a haze feedback adjustment function to adjust and analyze the target key control parameters and the predetermined target haze to obtain the target haze of the target polyurethane film.

[0054] The specific configuration of the target haze acquisition module 60 will be described in detail below. The target haze acquisition module 60 further includes: reading predetermined quality characteristics, and collecting multi-dimensional quality characteristics of the target polyurethane film based on the predetermined quality characteristics to obtain target quality characteristic information; introducing a film quality evaluation function to analyze the target quality characteristic information to obtain a target comprehensive quality index of the target polyurethane film; and adjusting the target haze based on the target comprehensive quality index; wherein the predetermined quality characteristics include physical characteristics, mechanical characteristics, and chemical characteristics, the physical characteristics include at least thickness and uniformity, the mechanical characteristics include at least tensile strength, tear strength, elongation, and abrasion resistance, and the chemical characteristics refer to corrosion resistance.

[0055] The specific configuration of the target haze acquisition module 60 will be described in detail below. The target haze acquisition module 60 may further include: the expression of the membrane quality evaluation function is as follows:

[0056] ;

[0057] in, The target polyurethane film refers to The target comprehensive quality index, These refer to the quality indices of the physical characteristics, mechanical characteristics, and chemical characteristics, respectively. It refers to the first of the physical characteristics. The indicator data of each characteristic indicator, It refers to the first of the chemical characteristics. The indicator data of each characteristic indicator, This refers to the corrosion resistance index data. and They refer to the first The first feature index, the first The weighting coefficients of each feature indicator, , , , and These refer to the first coefficient, the second coefficient, and the third coefficient, respectively. .

[0058] The specific configuration of the key production indicator set acquisition module 40 will be described in detail below. The key production indicator set acquisition module 40 may further include: drawing a scatter plot based on the mapping relationship between the independent variables and the dependent variable; extracting a first scatter plot from the scatter plot, where the first scatter plot refers to the scatter plot of a first independent variable among the independent variables and the dependent variable, and the first independent variable is any one of the independent variables; when the first maximum information coefficient obtained by analyzing the first scatter plot meets the maximum information coefficient limit, adding the first production indicator corresponding to the first independent variable to the key production indicator set.

[0059] The specific configuration of the key production indicator set acquisition module 40 will be described in detail below. The key production indicator set acquisition module 40 further includes: reading a predetermined gridding scheme, which includes multiple partitioning schemes; performing partitioning processing on the first scatter plot based on the multiple partitioning schemes to obtain multiple partitioning results; analyzing the first partitioning result among the multiple partitioning results to obtain a first maximum mutual information value set; normalizing the first maximum mutual information value set and filtering to obtain a first target maximum mutual information value set; and comparing the first target maximum mutual information value set to obtain the first maximum information coefficient.

[0060] The specific configuration of the target haze acquisition module 60 will be described in detail below. The target haze acquisition module 60 further includes: reading predetermined key control parameters; comparing the predetermined key control parameters with the target key control parameters to obtain a key control deviation; and adjusting the predetermined target haze using the key control deviation as a feedback adjustment coefficient according to the haze feedback adjustment function to obtain the target haze.

[0061] The specific configuration of the target haze acquisition module 60 will be described in detail below. The target haze acquisition module 60 may further include: extracting the plurality of production control parameters in the first production record based on the set of key production indicators to obtain a first key control parameter; when the first control similarity between the first key control parameter and the predetermined key control parameter reaches a control similarity limit, the first haze is recorded as the predetermined target haze.

[0062] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention, showing a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present invention. Figure 3The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention. This electronic device is in the form of a general-purpose computing device, and its components may include, but are not limited to, an input device 401, a processor 402, a memory 403, and an output device 404. The processor 402 may be one or more; the memory 403 may include a computer-readable medium and at least one program product having a set (at least one) of program modules configured to perform the functions of the embodiments of this application.

[0063] The memory 403 shown in the embodiments of the present invention can be any combination of one or more computer-readable media; the computer-readable storage media can be, but is not limited to, infrared, semiconductor systems, devices or components, or any combination thereof, for storing software programs, computer-executable programs and modules, such as the program instructions / modules corresponding to a polyurethane film haze monitoring method for a production line in an embodiment of the present invention. The processor 402 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 403, thereby realizing the above-mentioned polyurethane film haze monitoring method for a production line.

[0064] The polyurethane membrane haze monitoring system for production lines provided in this embodiment of the invention can execute the polyurethane membrane haze monitoring method for production lines provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0065] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0066] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for monitoring the haze of a polyurethane membrane used in a production line, characterized in that, include: Obtain historical production records of similar polyurethane films to the target polyurethane film, wherein the historical production records include the first production records of the first polyurethane film; Use multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables; Extract the first haze from the first production record and use the first haze as the dependent variable. The first haze refers to the haze of the first polyurethane film. Based on the correlation sensitivity between the independent variable and the dependent variable, a set of key production indicators is obtained through analysis; Based on the set of key production indicators, feature filtering and extraction are performed on the target production records of the target polyurethane film to obtain the target key control parameters. A haze feedback adjustment function is introduced to adjust and analyze the key control parameters of the target and the predetermined target haze, so as to obtain the target haze of the target polyurethane film; Also includes: Read the predetermined quality characteristics, and collect multi-dimensional quality characteristics of the target polyurethane film based on the predetermined quality characteristics to obtain target quality characteristic information; A membrane quality assessment function is introduced to analyze the target quality characteristic information, and the target comprehensive quality index of the target polyurethane membrane is obtained. The target haze is adjusted based on the target comprehensive quality index; The predetermined quality characteristics include physical characteristics, mechanical characteristics, and chemical characteristics. The physical characteristics include at least thickness and uniformity. The mechanical characteristics include at least tensile strength, tear strength, elongation, and abrasion resistance. The chemical characteristics refer to corrosion resistance. The expression for the membrane quality assessment function is as follows: ； in, The target polyurethane film refers to The target comprehensive quality index, , and These refer to the quality indices of the physical characteristics, mechanical characteristics, and chemical characteristics, respectively. It refers to the first of the physical characteristics. The indicator data of each characteristic indicator, It refers to the first of the chemical characteristics. The indicator data of each characteristic indicator, This refers to the corrosion resistance index data. and They refer to the first The first feature index, the first The weighting coefficients of each feature indicator, , , , and These refer to the first coefficient, the second coefficient, and the third coefficient, respectively. .

2. The method for monitoring the haze of a polyurethane membrane in a production line according to claim 1, characterized in that, include: Draw a scatter plot based on the mapping relationship between the independent variable and the dependent variable; Extract the first scatter plot from the scatter plot. The first scatter plot refers to the scatter plot of the first independent variable among the independent variables and the dependent variable. The first independent variable is any one of the independent variables. When the first maximum information coefficient obtained from analyzing the first scatter plot meets the maximum information coefficient limit, the first production indicator corresponding to the first independent variable is added to the set of key production indicators.

3. The method for monitoring the haze of a polyurethane membrane in a production line according to claim 2, characterized in that, include: Read the predetermined meshing scheme, which includes multiple partitioning schemes; The first scatter plot is partitioned based on the multiple partitioning schemes to obtain multiple partitioning results; Analyze the first partition result among the multiple partition results to obtain the first maximum mutual information value set; Normalize the first set of maximum mutual information values ​​and filter to obtain the first target set of maximum mutual information values; By comparing the first target's maximum mutual information value set, the first maximum information coefficient is obtained.

4. The method for monitoring the haze of a polyurethane membrane in a production line according to claim 1, characterized in that, include: Read the predetermined key control parameters; The key control deviation is obtained by comparing the predetermined key control parameters with the target key control parameters. Based on the haze feedback adjustment function, the key control deviation is used as the feedback adjustment coefficient to adjust and calculate the predetermined target haze, thereby obtaining the target haze.

5. The method for monitoring the haze of a polyurethane membrane in a production line according to claim 4, characterized in that, include: Based on the set of key production indicators, the multiple production control parameters in the first production record are traversed and extracted to obtain the first key control parameter. When the first control similarity between the first key control parameter and the predetermined key control parameter reaches the control similarity limit, the first fog level is recorded as the predetermined target fog level.

6. A polyurethane membrane haze monitoring system for a production line, characterized in that, The system is used to implement the polyurethane membrane haze monitoring method for a production line according to any one of claims 1-5, the system comprising: A historical production record acquisition module is used to acquire historical production records of similar polyurethane films of the target polyurethane film, wherein the historical production records include the first production records of the first polyurethane film. A production control parameter acquisition module, wherein the production control parameter acquisition module is used to take multiple production control parameters corresponding to multiple production indicators in the first production record as independent variables; The first haze extraction module is used to extract the first haze from the first production record and use the first haze as the dependent variable. The first haze refers to the haze of the first polyurethane film. A key production indicator set acquisition module is used to analyze and obtain a key production indicator set based on the correlation sensitivity between the independent variable and the dependent variable. The target key control parameter acquisition module is used to perform feature screening and extraction on the target production records of the target polyurethane film based on the set of key production indicators to obtain the target key control parameters. A target haze acquisition module is used to introduce a haze feedback adjustment function to adjust and analyze the target key control parameters and the predetermined target haze to obtain the target haze of the target polyurethane film.

7. An electronic device, characterized in that, The electronic device includes: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the polyurethane membrane haze monitoring method for a production line as described in any one of claims 1-5.

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