PVC film processing stabilizer optimization method and system

Abstract

The invention relates to the technical field of stabilizer selection, in particular to a PVC film processing stabilizer optimization method and system, and the method comprises the following steps: based on a PVC film processing historical database, extracting data associated with a stabilizer, combining the type and dosage of the stabilizer, and quantitatively evaluating the stability performance index of the stabilizer, according to the life cycle data and the biodegradability data of each PVC film, the environmental protection performance index of the stabilizer is quantitatively evaluated, and a basic performance data set is obtained. According to the method, data related to the stabilizer is extracted through a historical database, quantitative evaluation of the performance of the stabilizer and quantitative evaluation of the overall performance of the stabilizer are carried out in combination with application requirements, and the performance of the stabilizer under different environmental conditions is simulated through a dynamic simulation experiment, so that the high efficiency and applicability of the selected stabilizer in practical application are ensured; and by optimizing the combination and dosage of the stabilizer, the processing quality of the PVC film is improved, and the defects and the rejection rate in the production process are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of stabilizer selection, particularly relates to a PVC film processing stabilizer optimization method and system. BACKGROUND

[0002] The technical field of stabilizer selection mainly involves chemistry and materials science, especially in the application of high polymer material processing. The main function of stabilizers is to prevent materials from degrading due to heat, light or oxidation during processing and use, thereby extending the service life of materials and improving their performance. There are various types of stabilizers, including light stabilizers, heat stabilizers, antioxidants and composite stabilizers, which can be applied to various plastics, rubbers and other high polymer materials.

[0003] Among them, the PVC film processing stabilizer optimization method involves developing and implementing a systematic method for guiding the selection of the most suitable stabilizer for specific PVC film application requirements. The core of this method is to evaluate the performance of different stabilizers during PVC film processing and use, such as improving thermal stability, preventing color change and enhancing the overall durability of the material. By optimizing the selection of stabilizers, the quality of PVC film can be significantly improved, enhancing its heat resistance, light resistance and chemical resistance, while improving the overall quality and durability of PVC film, reducing defects and waste rates during production. The optimization selection method includes experimental evaluation, cost-benefit analysis and environmental impact considerations to ensure that the selected stabilizer meets performance requirements while also meeting environmental and economic standards.

[0004] Traditional stabilizer optimization methods rely on empirical judgment or simple experimental data, lacking a systematic evaluation method, resulting in inaccurate stabilizer optimization that fails to fully consider all application environments and conditions. For example, under complex processing environments or extreme use conditions, some stabilizers cannot perform as expected, limiting the application range and performance of the material. Traditional methods lack comprehensive consideration of environmental and economic benefits while ensuring material performance, leading to low production efficiency and increased environmental burden. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and propose a PVC film processing stabilizer optimization method and system.

[0006] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows: a PVC film processing stabilizer optimization method, comprising the following steps:

[0007] S1: Based on the PVC film processing history database, data associated with the stabilizer is extracted, combined with the type and amount of stabilizer, the stability performance index of the stabilizer is quantitatively evaluated, and the environmental protection performance index of the stabilizer is quantitatively evaluated according to the life cycle data and biodegradability data of each PVC film, to obtain a basic performance data set;

[0008] S2: Based on the basic performance data set, the stability performance and environmental protection performance index of the stabilizer are normalized to obtain normalized data, and the score of each stabilizer is calculated to evaluate the overall performance of the stabilizer, and a comprehensive score result is obtained;

[0009] S3: Based on the PVC film processing history database, dynamic simulation is performed through chemical simulation software, and simulation environment parameters including temperature, light intensity and chemical substance exposure degree are set, the change of the influence of the stabilizer on PVC film processing under different environmental conditions is simulated, the environmental impact score is calculated, and the environmental impact analysis result is generated;

[0010] S4: Based on the comprehensive score result and the environmental impact analysis result, according to the processing target and processing environment of the PVC film, a plurality of stabilizers are combined, the matching degree of the plurality of combinations with the target is calculated, and the amount of each stabilizer is adjusted to obtain a stabilizer optimization adjustment result.

[0011] The present application improves that the method for quantitatively evaluating the stability performance index of the stabilizer is:

[0012] S111: Based on the PVC film processing history database, data associated with the stabilizer is extracted, including the thermal stability, light stability and mechanical strength data of the PVC film, to obtain an associated data set;

[0013] S112: Based on the associated data set, the formula:

[0014]

[0015] The quantitative value Q of the stability performance index is calculated i , and the stability performance of the stabilizer is evaluated according to the size of Q i ;

[0016] Wherein, Q i is the quantitative value of the i-th stability performance index, x k is the performance value of the k-th data point, w ik is the performance weight, p i is the power index of the data point, d i is the power coefficient of the data point number, and n is the total number of data points.

[0017] The present application improves that the basic performance data set is obtained by:

[0018] S121: Extract the life cycle data and biodegradability data of each PVC film from the database, by the formula:

[0019]

[0020] Calculate the environmental performance index E to evaluate the environmental performance of the stabilizer;

[0021] Wherein, E is the environmental performance index, R is the biodegradation rate, a is the degradation rate adjustment index, L is the life of the stabilizer under experimental conditions, b is the life influence index, T is the toxicity coefficient, and C is the environmental regulation coefficient;

[0022] S122: Based on the environmental performance index E and the quantitative value Q of the stabilizing performance index i , the index data of each stabilizer is sorted to obtain the basic performance data set.

[0023] The application improves that the normalization data acquisition step is:

[0024] S211: Based on the basic performance data set, the stabilizing performance and environmental performance index data of each stabilizer are extracted, which are marked as index data X i ;

[0025] S212: Based on the index data X i , the normalization processing is carried out by the formula:

[0026]

[0027] to obtain the normalized value N of the index i ;

[0028] Wherein, N i is the normalized value of the i-th index, X i is the original value of the i-th index, min(X) and max(X) are the minimum value and maximum value in the index data respectively, ∈ is a constant, and p and q are exponential parameters.

[0029] The application improves that the comprehensive score result acquisition step is:

[0030] S221: Based on the normalized value N of the index i , the formula is:

[0031]

[0032] Calculate the overall score of the stabilizer to obtain the comprehensive performance score S;

[0033] Wherein, S is the comprehensive performance score of the stabilizer, w iis the weight of the i-th index, N i is the normalized value of the i-th index, t i is the conversion parameter, θ i is the threshold parameter, p i is the power index, e is the base of natural logarithm, and n is the total number of normalized indexes.

[0034] S222: Based on the comprehensive performance score S, the overall performance of the stabilizer is evaluated by comparing the size of the differential stabilizer comprehensive performance score S, and the comprehensive score result is obtained.

[0035] The present application improves that the step of obtaining the environmental impact analysis result is:

[0036] S311: Based on the PVC film processing history database, historical environmental data including temperature, light intensity and chemical substance exposure degree are extracted;

[0037] S312: Based on the historical environmental data, dynamic simulation is carried out by chemical simulation software, the influence of the stabilizer on the PVC film under the differential environment is simulated, and the performance change value of the stabilizer under the differential environment is extracted;

[0038] S313: Based on the performance change value of the stabilizer, the formula:

[0039]

[0040] The environmental impact score is calculated, the influence of various environmental conditions on the performance of the stabilizer is evaluated, and the environmental impact analysis result is generated;

[0041] Wherein, E is the environmental impact score, w i is the weight of the i-th environmental condition, d i is the performance change value of the stabilizer under the i-th environmental condition, c i is the critical change value of the performance of the stabilizer under the i-th environmental condition, k i is the sensitivity parameter, and n represents the total number of environmental conditions.

[0042] The present application improves that the method for calculating the matching degree of multiple combinations and targets is:

[0043] S411: According to the processing target and processing environment of PVC film, a plurality of stabilizer performance parameters and environmental impact data required are collected, and processing requirement data is obtained;

[0044] S412: Based on the processing requirement data, a plurality of stabilizers are selected for combination, and the formula:

[0045]

[0046] Calculate the matching degree M of each stabilizer combination with the processing target, select the target stabilizer combination according to the size of M value, and obtain the stabilizer combination setting result;

[0047] Wherein, M is the matching degree, S i is the comprehensive performance score of the i th stabilizer, E i is the environmental impact score of the i th stabilizer, u i is the applicability weight of the i th stabilizer, a i And b i is the adjustment coefficient, and n is the total number of stabilizer types.

[0048] The application improves that the obtaining step of the stabilizer optimization adjustment result is:

[0049] S421: Based on the stabilizer combination setting result, the physical and chemical properties and environmental tolerance of the required stabilizer are identified according to the processing requirement of the PVC film, and the stabilizer requirement information is obtained;

[0050] S422: Based on the stabilizer requirement information, the amount of each stabilizer after adjustment is calculated by the formula:

[0051]

[0052] The stabilizer optimization adjustment result is obtained;

[0053] Wherein, U i is the amount of the i th stabilizer after adjustment, V is the total amount of stabilizer, w i is the weight of the i th stabilizer, S i is the comprehensive performance score of the i th stabilizer, p i is the power index, q i is the adjustment coefficient, and n is the total number of stabilizer types, w j is the weight of the j th stabilizer, S j is the comprehensive performance score of the j th stabilizer.

[0054] The PVC film processing stabilizer optimization system comprises:

[0055] The data analysis module extracts the data associated with the stabilizer based on the PVC film processing historical database, evaluates and calculates the stabilizing performance index and environmental protection performance index of the stabilizer, and obtains the performance data set;

[0056] The performance evaluation module performs normalization processing on the stabilizing performance and environmental protection performance index of the stabilizer based on the performance data set, calculates the comprehensive score of each stabilizer, and obtains the comprehensive score information;

[0057] The environmental simulation module is based on a PVC film processing history database, dynamically simulates through chemical simulation software, sets simulation environment parameters, evaluates the influence of different environmental conditions on the stabilizer, and generates environmental influence information;

[0058] The stabilizer combination setting module is based on the comprehensive score information and the environmental influence information, combines the processing target and the environmental condition of the PVC film, formulates multiple stabilizer combinations, calculates the matching degree of the combinations and the target, selects a target stabilizer combination, and obtains a basic combination scheme;

[0059] The stabilizer dosage optimization module is based on the basic combination scheme, adjusts the dosage of each stabilizer, and obtains a stabilizer optimization adjustment result.

[0060] Compared with the prior art, the advantages and positive effects of the present application are that:

[0061] In the present application, the data related to the stabilizer are extracted from the historical database, the performance of the stabilizer is quantitatively evaluated in combination with application requirements, the overall performance of the stabilizer is quantitatively evaluated through comprehensive calculation, and the performance of the stabilizer under different environmental conditions is simulated through dynamic simulation experiments, so that the effect of the stabilizer can be evaluated under a wider application condition, the efficiency and applicability of the selected stabilizer in actual application are ensured, the optimization of the stabilizer combination and dosage improves the processing quality of the PVC film, reduces the defects and waste rate in the production process, enhances the market competitiveness of the product, and improves the stability of the material. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 The present application is a method flowchart;

[0063] Figure 2 The present application is a flowchart for quantitatively evaluating the stability performance index of the stabilizer;

[0064] Figure 3 The present application is a flowchart for obtaining a basic performance data set;

[0065] Figure 4 The present application is a flowchart for obtaining normalized data;

[0066] Figure 5 The present application is a flowchart for obtaining a comprehensive score result;

[0067] Figure 6 The present application is a flowchart for obtaining an environmental influence analysis result;

[0068] Figure 7 The present application is a flowchart for calculating the matching degree of multiple combinations and a target;

[0069] Figure 8 The present application is a flowchart for obtaining a stabilizer optimization adjustment result. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0071] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0072] Example

[0073] Please see Figure 1 This invention provides a technical solution: a method for optimizing PVC film processing stabilizers, comprising the following steps:

[0074] S1: Based on the historical database of PVC film processing, extract data related to stabilizers, including data on the thermal stability, light stability and mechanical strength of PVC films. Combine the type and amount of stabilizers to quantitatively evaluate the stability performance indicators of stabilizers. Based on the life cycle data and biodegradability data of each type of PVC film, quantitatively evaluate the environmental performance indicators of stabilizers to obtain a basic performance dataset.

[0075] S2: Based on the basic performance dataset, the stability and environmental performance indicators of the stabilizers are normalized to obtain normalized data. The scores of each stabilizer are calculated comprehensively to evaluate the overall performance of the stabilizers and obtain a comprehensive score result.

[0076] S3: Based on the historical database of PVC film processing, dynamic simulation is performed using chemical simulation software. Simulation environmental parameters include temperature, light intensity, and chemical exposure levels. The simulation measures the changes in the influence of stabilizers on PVC film processing under different environmental conditions, calculates the environmental impact score, and generates environmental impact analysis results.

[0077] S4: Based on the comprehensive scoring results and environmental impact analysis results, according to the processing objectives and processing environment of PVC film, select a combination of various stabilizers, calculate the matching degree between the various combinations and the objectives, and adjust the dosage of each stabilizer to obtain the stabilizer optimization adjustment results.

[0078] The basic performance dataset includes stabilizer performance indicators, environmental impact assessment information, and data integrity evaluation. The comprehensive scoring results include the overall score of the stabilizer, weight allocation details, and standardized scoring data. The environmental impact analysis results include environmental parameter setting information, stabilizer behavior simulation data, and PVC film performance response data. The stabilizer optimization and adjustment results include formulation composition details, ratio adjustment records, and expected application effectiveness assessment.

[0079] Please see Figure 2 The method for quantitatively evaluating the stability performance indicators of stabilizers is as follows:

[0080] S111: Based on the historical database of PVC film processing, extract data related to stabilizers, including data on the thermal stability, light stability and mechanical strength of PVC film, to obtain the associated dataset;

[0081] S112: Based on the associated dataset, using the formula:

[0082]

[0083] Calculate the quantitative value Q of the stability performance index. i And according to Q i The value is used to evaluate the stability performance of the stabilizer;

[0084] Among them, Q i Let x be the quantified value of the i-th stability performance index. k w represents the performance value for the k-th data point. ik For performance weights, p i d represents the power exponent of the data points. i is the power coefficient of the number of data points, where n is the total number of data points.

[0085] formula:

[0086]

[0087] Parameter details and acquisition methods:

[0088] x k The performance value of the kth data point is extracted from the historical database of PVC film processing and obtained from the performance test of PVC film under experimental conditions.

[0089] w ik The weight corresponding to the i-th performance is determined by experts based on the influence of the stabilizer under different conditions. For example, some stabilizers may have a greater impact on photostability than on thermal stability, and therefore have different weights.

[0090] p iThe power exponent of the data points adjusts the influence of each data point on the result. It is determined by the pre-set model parameters and can be adjusted according to the distribution characteristics of historical data.

[0091] d i The power factor for the number of data points is used to adjust the influence of the denominator, and is also preset according to the data distribution and the magnitude of the influence.

[0092] n: The total number of data points, obtained by directly counting the number of data points in the database under the corresponding conditions.

[0093] Calculation example:

[0094] Suppose we have the following data:

[0095] n = 50 (i.e., 50 data points), x k w is a random number in the range of 60 to 120. ik For the thermal stability assumption, w ik =0.2, p i =0.8, d i =0.8.

[0096] The calculation process is as follows:

[0097] For each x k ,calculate If x k =100, then 100 0.8 ≈39.81.

[0098] For all Application weight w ik And sum them:

[0099]

[0100] Calculate the denominator

[0101] 50 0.8 ≈22.8

[0102] Calculate Q i :

[0103]

[0104] The calculation examples demonstrate how to calculate and evaluate the performance metrics of each stabilizer using actual parameters and assumed values ​​through improved formulas.

[0105] Please see Figure 3 The steps to obtain the basic performance dataset are as follows:

[0106] S121: Extract the life cycle data and biodegradability data of each PVC film from the database, through the formula:

[0107]

[0108] Calculate the environmental performance index E to evaluate the environmental performance of the stabilizer;

[0109] Where E is the environmental performance index, R is the biodegradation rate, a is the degradation rate adjustment index, L is the life of the stabilizer under experimental conditions, b is the life influence index, T is the toxicity coefficient, and C is the environmental regulation coefficient;

[0110] S122: Based on the environmental performance index E and the quantitative value Q of the stabilizer performance index i , the index data of each stabilizer is sorted to obtain the basic performance data set.

[0111] Formula:

[0112]

[0113] Parameter details and acquisition method:

[0114] Parameter details:

[0115] R: Biodegradation rate, obtained through environmental testing, such as placing the stabilizer in a specific biologically active environment and measuring the proportion of degradation within a certain time.

[0116] a: Adjustment index of R, used to adjust the influence of biodegradation rate, the parameter is adjusted according to the dispersion degree of experimental data to ensure the sensitivity and responsiveness of the model.

[0117] L: Life of the stabilizer under experimental conditions, obtained from product specifications and experimental data, reflecting the effective period of the stabilizer under normal use conditions.

[0118] b: Adjustment index of L, used to adjust the influence of life data on the final environmental index.

[0119] T: Toxicity coefficient, obtained based on chemical safety data sheets or environmental safety data, indicating the potential harm of the substance to the environment and organisms.

[0120] C: Environmental regulation coefficient, is a preset constant, preset according to the use environment and regulatory requirements of the stabilizer, used to balance the toxicity coefficient in the formula.

[0121] Calculation example:

[0122] Suppose for a certain stabilizer:

[0123] R=0.9, a=1.2, L=5 years, b=1.1, T=0.2, C=0.5.

[0124] The environmental performance index E is calculated as:

[0125]

[0126] The calculated environmental performance evaluation index can be used for environmental performance evaluation.

[0127] Please refer to Figure 4 , the normalization data acquisition step is:

[0128] S211: Based on the basic performance data set, the stability performance and environmental performance index data of each stabilizer are extracted, marked as index data X i ;

[0129] S212: Based on the index data X i , through the formula:

[0130]

[0131] Normalization processing is performed to obtain the normalized value N i of the index.

[0132] Where N i is the normalized value of the ith index, X i is the original value of the ith index, min(X) and max(X) are the minimum and maximum values of the index data respectively, ∈ is a constant, and p and q are exponential parameters.

[0133] The formula is:

[0134]

[0135] Parameter details and acquisition method:

[0136] X i : represents the original index value of the ith index data, obtained from the previous step, including the environmental performance index E and the quantitative value Q i of the stability performance index.

[0137] min(X) and max(X): are the minimum and maximum values in the data set, respectively determined by counting all data points in the entire data set, to define the range of normalization.

[0138] ∈: a small constant, usually set to a non-zero minimum value, to avoid calculation errors when X i -min(X) is zero.

[0139] p and q: are exponential parameters that adjust the strength and sensitivity of the data transformation as needed. The parameters are either pre-set through experimentation or based on the characteristics of the data.

[0140] Computational example:

[0141] Suppose there is a set of data points X = {20, 15, 30, 45, 10}, and we want to normalize the data.

[0142] Determine min(X) and max(X):

[0143] min(X) = 10 max(X) = 45

[0144] Set ε, p, and q:

[0145] ε = 0.01 (choose a small value to avoid division by zero)

[0146] p = 1.5 (increase the influence of data points)

[0147] q = 1 (maintain the linear scale of the denominator)

[0148] For each data point X i Apply the normalization formula:

[0149] For X i = 20:

[0150]

[0151] Calculate X i -min(X) + ε = 20 - 10 + 0.01 = 10.01, and (max(X) - min(X) + ε) = 45 - 10 + 0.01 = 35.01.

[0152] Apply the exponential and logarithm:

[0153] 10.01 1.5 ≈ 31.6

[0154] log(31.6) ≈ 1.5

[0155] log(35.01) ≈ 1.544

[0156] Normalization result:

[0157]

[0158] Through the above process, each data point X i will be processed in the same way, and the resulting N i is a value between 0 and 1, representing the relative position and importance of the original data point in the entire data set.

[0159] Please refer to Figure 5 The step of obtaining the comprehensive score result is:

[0160] S221: Based on the normalized value N i of the index, the overall score of the stabilizer is calculated by the formula:

[0161]

[0162] to obtain the comprehensive performance score S of the stabilizer;

[0163] Wherein, S is the comprehensive performance score of the stabilizer, w i is the weight of the i-th index, N i is the normalized value of the i-th index, t i is the conversion parameter, θ i is the threshold parameter, p i is the power index, e is the base of natural logarithm, and n is the total number of normalized indexes;

[0164] S222: Based on the comprehensive performance score S, by comparing the size of the comprehensive performance score S of the differential stabilizer, the overall performance of the stabilizer is evaluated, and the comprehensive score result is obtained.

[0165] Parameter details and acquisition method:

[0166] w i : weight w i Based on expert opinions and historical data analysis, it reflects the relative importance of each index in the comprehensive score. The specific value is obtained by expert investigation or statistical analysis of previous research.

[0167] N i : the normalized value of the i-th index, N i Obtained from the previous data normalization step.

[0168] t i and θ i : conversion parameter t i and threshold parameter θ i Usually based on sensitivity analysis of data to set, to adjust the response curve of each index in the sigmoid function. Parameters can be adjusted based on experimental data or previous experience.

[0169] p i : power index p i Used to adjust the influence of the normalized value, usually determined according to the variability and sensitivity of the index. Higher p i enhances the influence of high value, while lower p i reduces its influence.

[0170] e: the base of the natural logarithm, a mathematical constant approximately equal to 2.71828.

[0171] Calculation example:

[0172] Suppose there are three normalized indicators N1 = 0.8, N2 = 0.5 and N3 = 0.2, and the corresponding weights are w1 = 0.5, w2 = 0.3 and w3 = 0.2, the conversion parameters are t1 = 1, t2 = 2, t3 = 3, the threshold parameters are θ1 = 0.5, θ2 = 0.5, θ3 = 0.5, and the power exponents are p1 = 1, p2 = 1, p3 = 1.

[0173] Calculation steps:

[0174] Apply Sigmoid adjustment:

[0175] For N1:

[0176]

[0177] For N2:

[0178]

[0179] For N3:

[0180]

[0181] Calculate the weighted average:

[0182] Denominator = 0.5 + 0.3 + 0.2 = 1.0

[0183]

[0184] The calculation example shows the adjustment of the original normalized value by each parameter and the calculation of the final comprehensive score.

[0185] See Figure 6 , the steps for obtaining the environmental impact analysis results are:

[0186] S311: Based on the PVC film processing history database, extract historical environmental data, including temperature, light intensity and chemical substance exposure;

[0187] S312: Based on the historical environmental data, dynamic simulation is carried out through chemical simulation software to simulate the influence of stabilizers on PVC film under different environmental conditions, and extract the performance change value of stabilizers under different environmental conditions;

[0188] S313: Based on the performance change value of the stabilizer, through the formula:

[0189]

[0190] An environmental impact score is calculated to assess the impact of various environmental conditions on the performance of the stabilizer, generating an environmental impact analysis result.

[0191] Where E is the environmental impact score, w i is the weight of the i-th environmental condition, d i is the performance change value of the stabilizer under the i-th environmental condition, c i is the critical change value of the stabilizer performance under the i-th environmental condition, k i is the sensitivity parameter, and n represents the total number of environmental conditions.

[0192] Formula:

[0193]

[0194] Parameter details and acquisition method:

[0195] w i : The weight of each environmental condition, usually based on the frequency of occurrence of the environmental condition and the importance of the environmental condition on the performance of the PVC film, the weight can be obtained by historical data analysis or expert evaluation.

[0196] d i : The performance change value of the stabilizer, obtained by simulation under the set environmental parameters by chemical simulation software, indicating the influence value of the stabilizer on the performance of the PVC film under specific environmental conditions.

[0197] c i : Critical change value, which is the threshold value of environmental parameters affecting the performance of PVC film, for example, temperature or chemical concentration reaching a certain level begins to significantly affect material performance, based on previous experimental data or literature.

[0198] k i : Sensitivity parameter, controlling the speed and range of environmental change on the score, k i Setting based on simulation tests, reflecting the sensitivity of performance to changes in environmental parameters.

[0199] Calculation example:

[0200] Assuming that three environmental conditions (temperature, light, and chemical exposure) are considered for scoring, the following parameters are set:

[0201] Weight distribution: w1=0.4 (temperature), w2=0.3 (light), w3=0.3 (chemical exposure)

[0202] Environmental performance change value: d1=0.2 (performance change caused by temperature), d2=0.15 (performance change caused by light), d3=0.1 (performance change caused by chemical exposure)

[0203] Critical change value: c1 = 0.1, c2 = 0.05, c3 = 0.05

[0204] Sensitivity parameters: k1 = 2, k2 = 3, k3 = 4

[0205] Calculation steps:

[0206] Calculate the impact score of each condition:

[0207] Temperature impact score:

[0208]

[0209] Light impact score:

[0210]

[0211] Chemical exposure impact score:

[0212]

[0213] Environmental impact score:

[0214] E = 0.4 * 0.55 + 0.3 * 0.574 + 0.3 * 0.55

[0215] = 0.22 + 0.1722 + 0.165

[0216] = 0.5572

[0217] Score E ≈ 0.5572, the score reflects the overall impact of the stabilizer on the performance of the PVC film under the given environmental parameters.

[0218] Please refer to Figure 7 , the method for calculating the matching degree of multiple combinations with the target is:

[0219] S411: According to the processing target and processing environment of the PVC film, collect the required performance parameters and environmental impact data of multiple stabilizers, and obtain the processing requirement data;

[0220] S412: Based on the processing requirement data, select multiple stabilizers for combination, and calculate the matching degree M of each stabilizer combination with the processing target through the formula:

[0221]

[0222] Calculate the matching degree M of each stabilizer combination with the processing target, according to the size of M value, select the target stabilizer combination, and obtain the stabilizer combination setting result;

[0223] Wherein, M is the matching degree, S i is the comprehensive performance score of the i-th stabilizer, E iEnvironmental impact score for the i-th stabilizer, u i Applicability weight for the i-th stabilizer, a i and b i Adjustment coefficient to enhance or weaken the impact of the score in a particular environment, n is the total number of stabilizer categories.

[0224] Formula:

[0225]

[0226] Parameter details and acquisition method:

[0227] u i : Applicability weight of each stabilizer, determined based on historical data analysis and expert evaluation, reflecting the importance of the stabilizer in specific PVC film processing requirements and environment.

[0228] S i and E i : S i is the comprehensive performance score of the i-th stabilizer, E i is the environmental impact score of the i-th stabilizer, obtained through the previous steps.

[0229] a i and b i : Adjustment coefficient to adjust the impact of the score, determined by experimental and statistical methods according to the particularity of each environment and processing requirement.

[0230] n: Total number of stabilizer categories, determined according to project requirements.

[0231] Calculation example:

[0232] Assume that three stabilizers are considered for scoring calculation:

[0233] Parameter settings:

[0234] Stabilizer category n = 3, weight u1 = 0.5, u2 = 0.3, u3 = 0.2.

[0235] Comprehensive score: S1 = 80, S2 = 70, S3 = 60.

[0236] Environmental impact score: E1 = 85, E2 = 65, E3 = 55.

[0237] Adjustment coefficient: a1 = 1.2, b1 = 1.1; a2 = 1.1, b2 = 1.3; a3 = 1.0, b3 = 1.5. Calculation steps:

[0238] Calculate the weighted score of each stabilizer:

[0239] For the first stabilizer:

[0240]

[0241] For the second stabilizer:

[0242]

[0243] For the third stabilizer:

[0245] Calculate the total matching degree:

[0246]

[0247] The comprehensive matching degree M≈2.246 reflects the overall adaptability of the stabilizer under given processing requirements and environmental conditions.

[0248] Please refer to Figure 8 , the acquisition steps of the stabilizer optimization adjustment result are:

[0249] S421: Based on the stabilizer combination setting result, identify the physical and chemical properties and environmental tolerance of the required stabilizer according to the processing requirements of the PVC film, and obtain the stabilizer demand information;

[0250] S422: Based on the stabilizer demand information, calculate the adjusted amount of each stabilizer by the formula:

[0251]

[0252] Calculate the adjusted amount of each stabilizer, and obtain the stabilizer optimization adjustment result;

[0253] Where, U i is the adjusted amount of the i-th stabilizer, V is the total stabilizer amount, w i is the weight of the i-th stabilizer, S i is the comprehensive performance score of the i-th stabilizer, p i is the power index, q i is the adjustment coefficient, n is the total number of stabilizers, w j is the weight of the j-th stabilizer, S j is the comprehensive performance score of the j-th stabilizer.

[0254] Formula:

[0255]

[0256] Parameter details and acquisition method:

[0257] V: Total stabilizer amount, estimated based on production requirements and product type, which can be determined by production scale and required product specifications.

[0258] w i : The weight of each stabilizer is evaluated based on its effectiveness in the process and cost-effectiveness ratio, obtained through historical data and expert experience.

[0259] S i : The overall performance score of the i-th stabilizer, calculated from the previous steps.

[0260] Power index p i and adjustment coefficient q i : Parameters obtained through optimization algorithms to adjust the amount of each stabilizer to match specific production requirements. Can be based on statistical analysis, considering cost, supply chain reliability, and environmental impact.

[0261] Calculation example:

[0262] Suppose we need to calculate the amount of three different stabilizers, with the following data for each:

[0263] Total number of stabilizer types n = 3

[0264] Total stabilizer usage V = 1000 units

[0265] Stabilizer 1: w1 = 0.5, S1 = 90, p1 = 1.1, q1 = 0.9

[0266] Stabilizer 2: w2 = 0.3, S2 = 85, p2 = 1.2, q2 = 1.0

[0267] Stabilizer 3: w3 = 0.2, S3 = 80, p3 = 1.3, q3 = 1.1

[0268] Calculation steps:

[0269] Calculate the weighted score denominator for each stabilizer:

[0270]

[0271] Calculate the final amount of each stabilizer:

[0272] Stabilizer 1:

[0273]

[0274] Stabilizer 2:

[0275]

[0276]

[0277] Stabilizer 3:

[0278]

[0279] The calculation process shows the determination of the amount of each stabilizer by weight, comprehensive score, power index and adjustment coefficient.

[0280] A PVC film processing stabilizer optimization system, the system comprising:

[0281] The data analysis module extracts data associated with the stabilizer based on the PVC film processing historical database, evaluates and calculates the stability performance index and environmental protection performance index of the stabilizer, and obtains a performance data set.

[0282] The performance evaluation module normalizes the stability performance and environmental protection performance index of the stabilizer based on the performance data set, calculates the comprehensive score of each stabilizer, and obtains comprehensive score information.

[0283] The environmental simulation module performs dynamic simulation through chemical simulation software based on the PVC film processing historical database, sets simulation environment parameters, evaluates the influence of different environmental conditions on the stabilizer, and generates environmental influence information.

[0284] The stabilizer combination setting module sets multiple stabilizer combinations based on the comprehensive score information and environmental influence information, combines the processing target and environmental conditions of the PVC film, calculates the matching degree of the combination and the target, selects the target stabilizer combination, and obtains a basic combination scheme.

[0285] The stabilizer amount optimization module adjusts the amount of each stabilizer based on the basic combination scheme, and obtains a stabilizer optimization adjustment result.

[0286] The above is only a preferred embodiment of the present application, and does not limit the form of the present application, any skilled person in the art can use the disclosed technical content to make changes or modifications as equivalent embodiments applied to other fields, but any simple modification, equivalent change and modification made according to the technical essence of the present application to the above embodiments within the technical solution content of the present application still belongs to the protection scope of the present application technical solution.

Claims

1. A method for optimizing PVC film processing stabilizers, characterized in that, Includes the following steps: Based on the historical database of PVC film processing, data related to stabilizers were extracted. Combined with the type and dosage of stabilizers, the stability performance indicators of stabilizers were quantitatively evaluated. Based on the life cycle data and biodegradability data of each type of PVC film, the environmental performance indicators of stabilizers were quantitatively evaluated, and a basic performance dataset was obtained. Based on the aforementioned basic performance dataset, the stability and environmental performance indicators of the stabilizers are normalized to obtain normalized data. The scores of each stabilizer are calculated comprehensively to evaluate the overall performance of the stabilizers and obtain a comprehensive score result. Based on a historical database of PVC film processing, dynamic simulations were performed using chemical simulation software. Simulation environmental parameters, including temperature, light intensity, and chemical exposure levels, were set to simulate the changes in the impact of stabilizers on PVC film processing under different environmental conditions. Environmental impact scores were calculated, and environmental impact analysis results were generated. Based on the comprehensive scoring results and environmental impact analysis results, and according to the processing objectives and processing environment of PVC film, multiple stabilizers are selected for combination, the matching degree between the multiple combinations and the objectives is calculated, and the dosage of each stabilizer is adjusted to obtain the stabilizer optimization adjustment results.

2. The method for optimizing PVC film processing stabilizers according to claim 1, characterized in that, The method for quantitatively evaluating the stability performance indicators of the stabilizer is as follows: Based on the historical database of PVC film processing, data related to stabilizers were extracted, including data on the thermal stability, light stability, and mechanical strength of PVC films, to obtain the associated dataset; Based on the aforementioned associated dataset, using the formula: Calculate the quantitative value Q of the stability performance index. i And according to Q i The value is used to evaluate the stability performance of the stabilizer; Among them, Q i Let x be the quantified value of the i-th stability performance index. k w represents the performance value for the k-th data point. ik For performance weights, p i d represents the power exponent of the data points. i is the power coefficient of the number of data points, where n is the total number of data points.

3. The method for optimizing PVC film processing stabilizers according to claim 2, characterized in that, The steps for obtaining the basic performance dataset are as follows: Lifecycle and biodegradability data for each type of PVC film were extracted from the database using the following formula: Calculate the environmental performance index E to evaluate the environmental performance of the stabilizer; Where E is the environmental performance index, R is the biodegradation rate, a is the degradation rate adjustment index, L is the lifespan of the stabilizer under experimental conditions, b is the lifespan influence index, T is the toxicity coefficient, and C is the environmental regulation coefficient. Based on the quantified values ​​of the aforementioned environmental performance index E and stability performance index Q i The index data for each stabilizer were compiled to obtain a basic performance dataset.

4. The method for optimizing PVC film processing stabilizers according to claim 1, characterized in that, The steps for obtaining the normalized data are as follows: Based on the aforementioned basic performance dataset, stability and environmental performance index data for each stabilizer are extracted and labeled as index data X. i ; Based on the aforementioned indicator data X i Through the formula: Normalization is performed to obtain the normalized value N of the index. i ; Where, N i X is the normalized value of the i-th indicator. i is the original value of the i-th indicator, min(X) and max(X) are the minimum and maximum values ​​in the indicator data, respectively, ∈ is a constant, and p and q are exponential parameters.

5. The method for optimizing PVC film processing stabilizers according to claim 4, characterized in that, The steps for obtaining the comprehensive scoring result are as follows: Based on the normalized value N of the aforementioned index i Through the formula: Calculate the overall score of the stabilizer to obtain the comprehensive performance score S; Where S is the overall performance score of the stabilizer, w i Let N be the weight of the i-th indicator. i Let t be the normalized value of the i-th indicator. i For the transformation parameters, θ i p is the threshold parameter. i is the power exponent, e is the base of the natural logarithm, and n is the total number of normalization indices; Based on the comprehensive performance score S, the overall performance of the stabilizer is evaluated by comparing the magnitude of the comprehensive performance scores S of the differentiated stabilizers, and the comprehensive score result is obtained.

6. The method for optimizing PVC film processing stabilizers according to claim 1, characterized in that, The steps for obtaining the environmental impact analysis results are as follows: Based on the historical database of PVC film processing, historical environmental data was extracted, including temperature, light intensity, and chemical exposure levels. Based on the historical environmental data, dynamic simulation was performed using chemical simulation software to simulate the impact of stabilizers on PVC film under different environmental conditions and extract the performance change values ​​of stabilizers under different environments. Based on the aforementioned change in stabilizer performance, using the formula: Calculate the environmental impact score, assess the impact of various environmental conditions on the stabilizer performance, and generate environmental impact analysis results; Where E is the environmental impact score, w i It is the weight of the i-th environmental condition, d i c is the change in stabilizer performance under the i-th environmental condition. i It is the critical change value of the stabilizer performance under the i-th environmental condition, k i It is a sensitivity parameter, and n represents the total number of environmental conditions.

7. The method for optimizing PVC film processing stabilizers according to claim 1, characterized in that, The method for calculating the matching degree between multiple combinations and the target is as follows: Based on the processing objectives and environment of PVC film, we collect the performance parameters and environmental impact data of various stabilizers required to obtain processing demand data. Based on the aforementioned processing requirements data, multiple stabilizers are selected and combined, and the formula is used: Calculate the matching degree M between each stabilizer combination and the processing target. Based on the value of M, select the target stabilizer combination to obtain the stabilizer combination setting result. Where M is the matching degree, S i E represents the overall performance score of the i-th stabilizer. i For the environmental impact score of the i-th stabilizer, u i Let a be the applicability weight of the i-th stabilizer. i and b i The adjustment factor is n, which represents the total number of stabilizer types.

8. The method for optimizing PVC film processing stabilizers according to claim 7, characterized in that, The steps for obtaining the stabilizer optimization adjustment results are as follows: Based on the stabilizer combination setting results, according to the processing requirements of PVC film, the physical and chemical properties and environmental tolerance of the required stabilizers are identified to obtain stabilizer requirement information. Based on the stabilizer demand information, using the formula: Calculate the adjusted dosage of each stabilizer to obtain the optimized stabilizer adjustment results; Among them, U i Let w be the adjusted dosage of the i-th stabilizer, V be the total stabilizer dosage, and w be the total amount of stabilizer. i S represents the weight of the i-th stabilizer. i For the overall performance score of the i-th stabilizer, p i q is the power exponent. i The adjustment factor is n, where n is the total number of stabilizer types, and w is the total number of stabilizer types. j S represents the weight of the j-th stabilizer. j The overall performance score of the j-th stabilizer is given.

9. A PVC film processing stabilizer optimization system, characterized in that, The method for optimizing PVC film processing stabilizers according to any one of claims 1-8 is carried out, wherein the system comprises: The data analysis module extracts data related to stabilizers from the historical database of PVC film processing, evaluates and calculates the stability performance index and environmental performance index of stabilizers, and obtains a performance dataset. Based on the performance dataset, the performance evaluation module normalizes the stability and environmental performance indicators of the stabilizers, calculates the comprehensive score for each stabilizer, and obtains comprehensive score information. The environmental simulation module is based on a historical database of PVC film processing. It uses chemical simulation software to perform dynamic simulations, set simulated environmental parameters, evaluate the impact of different environmental conditions on stabilizers, and generate environmental impact information. Based on the comprehensive scoring information and environmental impact information, combined with the processing objectives and environmental conditions of PVC film, the stabilizer combination setting module formulates a variety of stabilizer combinations, calculates the matching degree between the combination and the objective, selects the target stabilizer combination, and obtains the basic combination scheme. The stabilizer dosage optimization module adjusts the dosage of each stabilizer based on the basic combination scheme to obtain the stabilizer optimization adjustment result.

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