Method for judging tobacco leaf raw material threshing and redrying processing plasticity and method for judging tobacco leaf group formula module plasticity

Abstract

The invention provides a tobacco leaf raw material threshing and redrying plasticity judgment method and a tobacco leaf formula module plasticity judgment method, and belongs to the field of tobacco leaf processing.The judgment method comprises the steps that preferable tobacco leaf plasticity characterization indexes are detected, and a detection result is preprocessed to obtain standardized data; determining the weight of each tobacco plasticity characterization index according to the standardized data; and calculating a comprehensive score of the tobacco leaves according to the weights, and judging the plasticity grade of the tobacco leaves according to the comprehensive score. The judgment method provides a certain reference basis for threshing and redrying tobacco leaf matching, process parameter regulation and control and the like, and is beneficial to improving the homogenization processing level of tobacco leaf raw materials. The invention further provides a method for judging the plasticity of the tobacco leaf group formula modules of the various types of tobacco leaf raw materials according to the judgment result of the threshing and redrying processing plasticity of the tobacco leaf raw materials, and the judgment method guarantees the setting accuracy of threshing and redrying processing parameters; and a technical guarantee is provided for improving uniformity and stability of threshing and redrying processing quality of the formula module.

Description

Technical Field

[0001] This invention belongs to the field of tobacco processing and relates to a method for determining the plasticity of tobacco raw material processing (including leaf threshing and re-drying) and a method for determining the plasticity of leaf blend formulation modules. Background Technology

[0002] Leaf threshing and re-drying is an important preliminary step in cigarette production. By advancing the technology to address problems existing in the tobacco raw material processing stage of cigarette production, these problems can be effectively solved at the leaf threshing and re-drying stage. This not only achieves efficient utilization of tobacco raw materials but also provides strong support for the high-quality development of cigarette production.

[0003] The technology shift involves shifting the tobacco leaf formulation to the front end. Specifically, the formulation module of tobacco leaf raw materials is assembled and the formulation module is used for pounding and pounding in the pounding and pounding process. This allows for better production of products that meet specific industrial needs in the pounding and pounding process, providing better raw material support for industrial cigarette production. However, as the formulation module assembly and processing are shifted from the cigarette industry to the pounding and pounding process, some new problems in the control of the pounding and pounding production process have also been exposed: (1) In the pounding and pounding process, the assembly and processing of tobacco leaves are mainly determined based on the part and grade of the tobacco leaf. However, the characteristics of tobacco leaves of different parts and grades are greatly affected by factors such as tobacco leaf varieties, ecological environment, and climate change. Furthermore, the determination of tobacco leaf grade mainly relies on subjective judgment by humans. Therefore, the determination of tobacco leaf assembly and processing based on the part and grade of the tobacco leaf lacks reliable and objective data support. (2) The determination of pounding and processing based on grade and part will eventually lead to inaccurate judgment, which in turn leads to inaccurate setting of processing parameters, resulting in large fluctuations in processing quality, difficulty in control, and even the risk of deterioration. (3) Currently, re-drying enterprises have recognized that the test data of the plasticity characterization index of tobacco leaves is a reliable data support for the determination of the plasticity of threshing leaves, and have carried out relevant plasticity characterization index testing work for tobacco raw materials. However, they do not know how to use the analysis and test data to determine the comprehensive level of plasticity of tobacco leaves, and cannot apply the test data analysis results to the blending of threshing and re-drying leaves, and the control of process parameters.

[0004] Therefore, it is necessary to study a method for determining the plasticity of tobacco raw materials during threshing and re-drying, so as to determine the plasticity of tobacco leaves and provide a reference for the formulation of threshing and re-drying formulas and the control of process parameters. Summary of the Invention

[0005] To address the technical problems existing in the prior art, this invention provides a method for determining the plasticity of tobacco raw materials during threshing and re-drying. Compared with traditional manual determination methods, this method can significantly improve the accuracy of determining the plasticity of tobacco raw materials during threshing and re-drying, and has high efficiency, meeting the needs of modern production.

[0006] To achieve the above-mentioned technical effects, the present invention adopts the following technical solution: This invention provides a method for determining the plasticity of tobacco leaf raw material during threshing and re-drying processing, the method comprising: The plasticity characterization index of tobacco leaves was tested, and the test results were preprocessed to obtain standardized data; The weights of each indicator of tobacco leaf plasticity were determined based on standardized data; The overall score of the tobacco leaves is calculated based on the weights, and the plasticity level of the tobacco leaves is determined based on the overall score.

[0007] As a preferred technical solution of the present invention, the preprocessing of the detection results includes unifying the direction of the indicators and performing reciprocal processing on the inverse indicators.

[0008] As a preferred technical solution of the present invention, the preprocessing of the test results also includes standardization processing, and the standardization processing method includes range standardization.

[0009] As a preferred technical solution of the present invention, the range standardization is to map the detection result to a specified interval [0,1] through linear transformation.

[0010] As a preferred technical solution of the present invention, the method for determining the weight includes a first weight determination method and a second weight determination method, and a comprehensive weight is calculated based on the results of the first weight determination method and the second weight determination method.

[0011] As a preferred technical solution of the present invention, the method for determining the first weight includes: Calculate the standard deviation of each of the aforementioned tobacco leaf plasticity characterization indices; Calculate the correlation coefficients among the various tobacco leaf plasticity characterization indices; Calculate the conflict between the various characterization indices of tobacco leaf plasticity; Calculate the amount of information among the various tobacco leaf plasticity characterization indices; Enhance weighting to highlight the weight differences of important indicators; The information content among the various tobacco leaf plasticity characterization indicators is normalized to obtain the first weight.

[0012] As a preferred technical solution of the present invention, the second weight determination method includes: Calculate the weight of each observed value under each of the aforementioned tobacco leaf plasticity characterization indices; Calculate information entropy based on proportion; Calculate the information utility value based on information entropy; Enhance the information utility value by highlighting the weight differences of important indicators; The second weight is calculated based on the enhanced information utility value.

[0013] As a preferred technical solution of the present invention, the method for calculating the comprehensive weight includes: Let the combined weights be: Based on game theory, the goal is to minimize the combined weights. W With two basic weights oh 1 , oh The deviation from 2 is the objective, and the objective function is: Solve for the optimal combination coefficients a and b.

[0014] As a preferred technical solution of the present invention, the plasticity grade of tobacco raw material for threshing and re-drying is divided according to the comprehensive score range of all tobacco samples; the plasticity grade is 3 to 10.

[0015] The second objective of this invention is to provide a method for determining the plasticity of leaf blend formulation modules for various types of tobacco raw materials. This method includes: Based on the method for determining the plasticity of tobacco raw material after threshing and re-drying provided in one of the objectives, the plasticity of various tobacco leaves in the leaf blend formula is rated to obtain the combination of plasticity grades of the leaf blend formula. The method for determining the plasticity grade of the leaf group formulation based on the aforementioned combination of plasticity grades includes: A. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are adjacent, the plasticity grade of the tobacco raw material with a raw material content of more than 50% shall be selected as the plasticity grade of the leaf blend formula. B. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are not adjacent, the plasticity grade of the tobacco raw materials with a raw material content of more than 60% shall be selected as the plasticity grade of the leaf blend formula. C. When the leaf blend formula contains three types of tobacco raw materials with different plasticity grades and the grades are adjacent, if one type of tobacco raw material with a plasticity grade accounts for no less than 50% and another type of tobacco raw material with a plasticity grade accounts for no less than 20%, then the plasticity grade with a proportion of no less than 50% shall be selected as the plasticity grade of the leaf blend formula. Other methods for determining leaf group formulations besides the combination of the three plasticity grades (A, B, and C) include: The plasticity of the leaf blend formulation is determined from two aspects: ensuring the balance of processing quality and the integrity of the formulation module. First, to ensure the integrity of the leaf blend formulation, the plasticity of the formulation module is determined by the tobacco raw material with the lowest plasticity grade among the tobacco raw materials that account for no less than 5% of the leaf blend formulation. Second, to ensure the balance of processing quality of the leaf blend formulation, the plasticity of the leaf blend formulation is determined by the main tobacco raw material with a single plasticity grade or the main tobacco raw material with the larger proportion among two adjacent types of tobacco raw materials with different plasticity grades.

[0016] As a preferred technical solution of the present invention, the method for classifying plasticity levels includes the natural break point method.

[0017] Compared with the prior art, the present invention has at least the following beneficial effects: (1) This invention provides a method for determining the plasticity of tobacco raw material after threshing and re-drying. Compared with the traditional manual determination method, this method can greatly improve the accuracy of determining the plasticity of tobacco raw material after threshing and re-drying, and has high determination efficiency, meeting the needs of modern production.

[0018] (2) This invention provides a method for determining the plasticity of leaf group formulation modules of various tobacco raw materials. This method comprehensively considers the plasticity determination method of leaf group formulation modules, ensuring the accuracy of setting the processing parameters for leaf pounding and re-drying, and providing technical support for improving the uniformity and stability of the processing quality of leaf pounding and re-drying of formulation modules. Detailed Implementation

[0019] The technical solution of this application will be further described below through specific embodiments.

[0020] This invention provides a method for determining the plasticity of tobacco leaf raw material during threshing and re-drying processing. The method includes: The plasticity characterization index of tobacco leaves was tested, and the test results were preprocessed to obtain standardized data; The weights of each indicator of tobacco leaf plasticity were determined based on standardized data; The overall score of the tobacco leaves is calculated based on the weights, and the plasticity level of the tobacco leaves is determined based on the overall score.

[0021] In this invention, by monitoring the plasticity characterization indicators of tobacco leaves and calculating the weights of each indicator using reasonable mathematical methods, the plasticity of tobacco raw materials for threshing and re-drying is quantified through a comprehensive score. This allows for a direct ranking of the "plasticity" of tobacco raw materials, followed by grade classification based on the numerical range of "plasticity." Consequently, a suitable threshing and re-drying processing method can be selected based on the "plasticity" grade of the tobacco raw materials, thereby improving production efficiency and further enhancing the threshing and re-drying processing effect.

[0022] In one specific embodiment of the present invention, the required indicators for characterizing the plasticity of tobacco leaves can be screened according to actual production needs and the type of tobacco leaves. Preferred indicators for characterizing the plasticity of tobacco leaves include shear strength, penetration strength, tensile strength, elongation, midrib bonding strength, branch vein bonding strength, and adhesion strength.

[0023] In one specific embodiment of the present invention, the shear strength, penetration strength, tensile strength, elongation, main vein bonding force, branch vein bonding force, and adhesion force of tobacco raw materials are all tested using conventional testing methods in the tobacco processing field (such as methods specified in national standards), and therefore no further limitations are made here.

[0024] In one specific embodiment of the present invention, the preprocessing of the detection results includes unifying the direction of the indicators and performing inverse processing on the inverse indicators. For example, taking the above seven indicators as an example, if five of the indicators are positively correlated with plasticity, while the remaining two indicators are negatively correlated with plasticity, then performing inverse processing on the two indicators can make the two indicators positively correlated with plasticity, so as to facilitate the subsequent weight calculation.

[0025] In one specific embodiment of the present invention, the preprocessing of the detection results further includes standardization, and the standardization method includes range standardization. The purpose of range standardization is to eliminate the influence of data dimensions and linearly transform the original data to a specific range. The specific calculation formula is: (current value - minimum value) / (maximum value - minimum value). Through this transformation, the original data is compressed or stretched to a new standard range, preserving the relationships between the original data.

[0026] In one specific embodiment of the present invention, the range standardization is to map the detection result to a specified interval [0,1] through linear transformation.

[0027] In one specific embodiment of the present invention, the standardized data is smoothed to avoid errors in logarithmic calculation caused by the presence of zero values ​​in the data. The smoothing process can employ methods such as simple moving average, exponential smoothing, and kernel smoothing. These smoothing methods are all conventional methods in the field of numerical computation, and therefore are not further limited herein.

[0028] In one specific embodiment of the present invention, the method for determining the weights includes a first weight determination method and a second weight determination method, and a comprehensive weight is calculated based on the results of the first weight determination method and the second weight determination method.

[0029] In one specific embodiment of the present invention, the first weight determination method includes: Calculate the standard deviation of each indicator of the plasticity of tobacco leaves; Calculate the correlation coefficients among the various indicators of tobacco leaf plasticity. Calculate the conflict between various indicators of tobacco leaf plasticity; Calculate the information content among the various indicators of tobacco leaf plasticity; Enhance weighting to highlight the weight differences of important indicators; The information content among the various indicators of tobacco leaf plasticity is normalized to obtain the first weight.

[0030] In one specific embodiment of the present invention, the standard deviation of the characterization index of tobacco leaf plasticity is calculated using conventional methods in numerical calculation, so the specific calculation process is not further limited here.

[0031] In one specific embodiment of the present invention, the correlation coefficients between the various indicators of tobacco leaf plasticity can be obtained using conventional correlation coefficient calculation methods, such as the Pearson correlation coefficient, which measures the strength and direction of the linear relationship between two continuous numerical variables. Its value is between -1 (perfectly negative correlation) and +1 (perfectly positive correlation), provided that the data are approximately normally distributed and have a linear relationship.

[0032] In one specific embodiment of this invention, the calculation of the conflict between various indicators of tobacco leaf plasticity is based on the absolute value of the correlation coefficients between the indicators. The conflict of an indicator is equal to the inverse sum of the absolute values ​​of the correlation coefficients between that indicator and all other indicators. If an indicator has a strong correlation with other indicators, it means significant information redundancy, its conflict value is small, and its independent contribution to the comprehensive evaluation is limited, so it should be assigned a lower weight. Conversely, if an indicator has a weak correlation with other indicators, it represents high information uniqueness, its conflict value is large, indicating that the indicator provides irreplaceable decision-making information, and therefore should be assigned a higher weight.

[0033] In one specific embodiment of the present invention, the strength of contrast within each indicator can be measured by calculating the standard deviation of each indicator; the correlation coefficient matrix between indicators can be calculated, and the conflict of each indicator can be solved accordingly to measure the independence of their information. The comprehensive information content among the indicators characterizing the plasticity of tobacco leaves is the product of the strength of contrast and the conflict of information.

[0034] In one specific embodiment of the present invention, the squared enhancement weight of information content can be used.

[0035] In one specific embodiment of the present invention, the second weight determination method includes: Calculate the weight of each observed value under each characterization index of tobacco leaf plasticity; Calculate information entropy based on proportion; Calculate the information utility value based on information entropy; Enhance the information utility value by highlighting the weight differences of important indicators; The second weight is calculated based on the enhanced information utility value.

[0036] In one specific embodiment of the present invention, information entropy can be calculated using the Shannon entropy formula based on the weight of each observation.

[0037] In one specific embodiment of the present invention, the information utility value can be calculated by first calculating the information entropy of each indicator; the information utility value of each indicator is the complementary value of the information entropy; the larger the information utility value, the more useful information the indicator provides in the comprehensive evaluation, and the higher its importance.

[0038] In one specific embodiment of the present invention, the squared enhancement weight of the information utility value can be adopted.

[0039] In one specific embodiment of the present invention, the method for calculating the comprehensive weight includes: Assume the portfolio weights are: Based on game theory, the goal is to minimize the combined weights. W With two basic weights oh 1 , oh The deviation from 2 is the objective, and the objective function is: Solve for the optimal combination coefficients a and b.

[0040] In this invention, different weight calculation methods each have their limitations. Subjective methods may be influenced by expert preferences, while objective methods rely excessively on the data itself. Combining the two methods allows for mutual verification and constraint, effectively balancing subjective intentions with objective facts, reducing the potential bias or extreme results of a single method, and making the weight allocation more reasonable and reliable.

[0041] In one specific embodiment of the present invention, the plasticity grade of tobacco raw material for threshing and re-drying is divided according to the comprehensive score range of all tobacco leaf samples; the plasticity grade is 3 to 10, such as grade 3, grade 4, grade 5, grade 6, grade 7, grade 8, grade 9 or grade 10, but is not limited to the listed values, and other unlisted values ​​within this range are also applicable.

[0042] In one specific embodiment of the present invention, the grading method for determining the plasticity grade of the tobacco leaves may include the natural breakpoint method, the equal interval method, the quantile method, etc., with the natural breakpoint method being preferred.

[0043] In one specific embodiment of the present invention, the method for classifying plasticity levels includes the natural breakpoint method. The natural breakpoint method minimizes intra-group differences and maximizes inter-group differences by identifying natural inflection points in the data distribution itself. The natural breakpoint method determines the classification boundary entirely by the distribution pattern of the data itself, and can better reflect the inherent structure and natural grouping of the data.

[0044] In one specific embodiment of the present invention, a method for determining the plasticity of a multi-type tobacco leaf blend formulation module is provided, the method comprising: According to the method for determining the plasticity of tobacco raw material processing by threshing and re-drying in the above specific embodiments, the plasticity of various tobacco leaves in the leaf blend formula is rated to obtain the combination of plasticity grades of the leaf blend formula. The plasticity grade of the leaf group formulation is determined according to the plasticity grade combination method.

[0045] In one specific embodiment of the present invention, the method for determining the plasticity grade of the leaf group formulation includes: A. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are adjacent, the plasticity grade of the tobacco raw material with a raw material content of more than 50% shall be selected as the plasticity grade of the leaf blend formula. B. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are not adjacent, the plasticity grade of the tobacco raw materials with a raw material content of more than 60% shall be selected as the plasticity grade of the leaf blend formula. C. When the leaf blend formula contains three types of tobacco raw materials with different plasticity grades and the grades are adjacent, if one type of tobacco raw material with a plasticity grade accounts for no less than 50% and another type of tobacco raw material with a plasticity grade accounts for no less than 20%, then the plasticity grade with a proportion of no less than 50% shall be selected as the plasticity grade of the leaf blend formula. Other methods for determining leaf group formulations besides the combination of the three plasticity grades (A, B, and C) include: The plasticity of the leaf blend formula is determined from two aspects: ensuring the balance of processing quality and the integrity of the formula module. First, based on ensuring the integrity of the leaf blend formula, the plasticity of the formula module is determined according to the tobacco raw materials with poor plasticity and accounting for no less than 5%. Second, based on ensuring the balance of processing quality of the leaf blend formula, the plasticity of the leaf blend formula is determined according to the main tobacco raw materials of a single type or two adjacent types with a large proportion.

[0046] In one specific embodiment of the present invention, taking five plasticity grades as an example, the method for determining the plasticity grade of the leaf group formulation includes: There are a total of 5 possible cases and 31 possible combinations of the 5 types of malleable tobacco raw materials in the formulation module, as follows: Class I, Class II, Class III, Class IV, Class V, Class I+II, Class II+III, Class III+IV, Class IV+V, Class I+III, Class II+IV, Class III+V, Class I+IV, Class II+V, Class I+V, Class I+II+III, Class II+III+IV, Class III+IV+V, Class I+II+IV, Class I+II+V, Class I+III+IV, Class I+IV+V, Class II+III+V, Class II+IV+V, Class I+III+V, Class I+II+III+IV, Class I+II+III+V, Class I+II+IV+V, Class I+III+IV+V, Class II+III+IV+V, Class I+II+III+IV+V.

[0047] ① Formulation module with only one type of plastic tobacco raw material The plasticity of tobacco raw materials in this type of formulation module is the same, namely, five types: I, II, III, IV, and V. The plasticity of this formulation module can be determined according to the plasticity of the tobacco raw materials in this type.

[0048] ② A formulation module with two types of plastic tobacco raw materials and the two types of plasticity are adjacent. The plasticity of tobacco raw materials in this type of formulation module includes two categories, and these two plasticities are adjacent, namely, four formulation modules: Category I+II, Category II+III, Category III+IV, and Category IV+V. When the proportion of any one category is ≥50%, the plasticity of the formulation module is determined according to the plasticity of that category of tobacco raw material; when the proportions of the two categories are the same, the plasticity of the formulation module is determined according to the plasticity of the category with the smaller number.

[0049] ③ A formulation module with two types of tobacco raw materials and whose two plasticities are not adjacent. The plasticity of tobacco raw materials in this type of formulation module includes two categories, and these two plasticities are not adjacent, namely, six formulation modules: category I+III, category II+IV, category III+V, category I+IV, category II+V, and category I+V. When any one of these categories accounts for ≥60%, the plasticity of the formulation module is determined according to the plasticity of that type of tobacco raw material. For other formulation modules, plasticity should be determined according to step ⑤.

[0050] ④ A formulation module with three types of plastic tobacco raw materials and three adjacent plasticity levels. The plasticity of tobacco raw materials in this type of formulation module includes three categories, and these three plasticities are adjacent, namely, category I+II+III, category II+III+IV, and category III+IV+V.

[0051] When there is one ≥50% and one ≥20% in two adjacent classes, the plasticity of the formulation module is determined according to the plasticity of the tobacco raw material with ≥50% plasticity.

[0052] For other formulation modules, plasticity should be determined according to step ⑤.

[0053] ⑤ Other recipe modules This includes other formulation modules in ③, other formulation modules in ④, formulation modules with 4 types of plastic tobacco raw materials, and formulation modules with 5 types of plastic tobacco raw materials.

[0054] The plasticity of a formulation module is judged from two aspects: ensuring the balance of processing quality and the integrity of the formulation module. First, to ensure the integrity of the formulation module, its plasticity is determined by the tobacco raw materials with relatively poor plasticity that constitute at least 5% of the module. Second, to ensure the balance of processing quality, its plasticity is determined by the main tobacco raw materials of a single type or two adjacent types that constitute a large proportion.

[0055] To better illustrate the present invention and facilitate understanding of its technical solutions, typical but non-limiting embodiments of the present invention are as follows: Example 1 The tobacco raw materials in this embodiment are the upper (B2F), middle (C3F), and lower (X2F) tobacco leaves from 21 provinces and 81 cities in 2020 and 2021, totaling 1393 sample data.

[0056] Samples were taken from each tobacco raw material, and the shear strength, penetration strength, tensile strength, elongation, main vein bonding force, branch vein bonding force, and adhesion force of each tobacco sample were tested. The trend direction of each tobacco leaf plasticity characterization index was determined based on the test results, and the results are shown in Table 1.

[0057] According to standard YQ-GYT 7.1-2023, a texture analyzer was used to determine the values ​​of the preferred tobacco leaf plasticity characterization indicators: adhesion force, shear strength, tensile force, elongation, penetration strength, stem binding force, and vein binding force.

[0058] Table 1. Indicator attributes and trend directions of indicators for characterizing the plasticity of tobacco leaves As shown in Table 1, the main vein binding force and branch vein binding force are inverse indicators. The direction of the main vein binding force and branch vein binding force needs to be converted by the reciprocal method to ensure that their direction is consistent with other indicators.

[0059] The mean values ​​of the plasticity characterization index data for tobacco leaves of the same production area and grade in the original data were calculated, and the total data volume after merging was 200. The data were checked for missing values ​​and outliers. Distribution statistics were performed on the test data for each tobacco leaf plasticity characterization index, and the results are shown in Table 2. The correlation coefficients between each tobacco leaf plasticity characterization index were calculated, and the results are shown in Table 3.

[0060] Table 2. Statistical distribution of test data for characterizing the plasticity of tobacco leaves Table 3 Correlation coefficients among the characterization indicators of tobacco leaf plasticity As shown in Table 3, there are correlations among the various indicators. Among them, shear strength and penetration strength (0.65), shear strength and tensile strength have strong correlations (0.59), penetration strength and tensile strength have strong correlations (0.74), and main vein bonding force and branch vein bonding force have strong correlations (0.84).

[0061] The weights of each tobacco leaf plasticity characterization index determined in this example are shown in Table 4.

[0062] Table 4. Weights of each indicator of tobacco leaf plasticity When calculating the overall weight, the coefficient for Method 1 was 0.838, and the coefficient for Method 2 was 0.162. The overall weights for each indicator using the two methods are shown in Table 4. Among them, elongation had the largest weight at 0.0812, while adhesion had the smallest weight at 0.1081. The minimum overall score was 20.5, the maximum was 69.75, the mean was 43.84, and the standard deviation was 8.8394. The overall scores were divided into five levels to study the characteristics of each level of indicator.

[0063] This example calculates the overall score for each sample, with the overall score ranging from 1 to 100.

[0064] The comprehensive score is obtained by weighting and summing the scores of each indicator. The minimum comprehensive score for the example data is 20.5, the maximum is 69.75, the mean is 43.84, and the standard deviation is 8.8394. This example uses representative tobacco raw material grades B2F, C3F, and X2F, with comprehensive scores ranging from 20 to 70 points, indicating that the judgment method has a certain degree of scientific validity and rationality.

[0065] This example uses the natural breakpoint method to divide the comprehensive score and determine the grading criteria for the plasticity of tobacco raw material processing after leaf threshing and re-drying.

[0066] As shown in Table 5, the overall score of the data in this example ranges from 20 to 70 points, with a variance goodness of fit of 0.9217 and within-group coefficients of variation all below 0.15, indicating good grouping. The plasticity of the example data is mostly at levels I, II, III, and IV, with a small portion at level V.

[0067] Table 5. Distribution statistics of tobacco leaf comprehensive scores The overall score is divided into five levels: Level I, Level II, Level III, Level IV, and Level V, with the overall score increasing sequentially. The criteria for determining plasticity grading are shown in Table 6.

[0068] Table 6 Criteria for Judging Plasticity Grading Example 2 The tobacco raw material in this embodiment is the tobacco raw material of the threshing and re-drying formula module A1. The formula module consists of 30,000 dan of 2021 Tonghua C3F, 25,000 dan of 2021 Liupanshui B2F, 20,000 dan of 2021 Suihua C3F, 20,000 dan of 2021 Liangshan C3F, and 5,000 dan of 2021 Qianxinan C3F.

[0069] The above five types of tobacco raw materials were tested for seven indicators, including shear strength, penetration strength, tensile strength, elongation, main vein bonding force, branch vein bonding force, and adhesion. Based on the judgment method provided in Example 1, the comprehensive score of each tobacco raw material was calculated, and the tobacco raw materials were classified according to the judgment criteria in Table 6.

[0070] The overall scores and classification results of these five tobacco raw materials are shown in Table 7: Table 7. Overall Scores and Classification Results of Five Tobacco Raw Materials Table 7 shows that the plasticity classification of Tonghua C3F in 2021 was Class IV, that of Liupanshui B2F in 2021 was Class IV, that of Suihua C3F in 2021 was Class IV, that of Liangshan C3F in 2021 was Class II, and that of Qianxinan C3F in 2021 was Class II.

[0071] The calculated proportions of the five categories—Tonghua C3F, Liupanshui B2F, Suihua C3F, Liangshan C3F, and Qianxinan C3F—in 2021 are shown in Table 8.

[0072] Table 8 shows the percentage of five types of tobacco leaves in the leaf blend module. As shown in Table 8, Class IV tobacco leaves account for 75% of the total, while Class II tobacco leaves account for 25% of the total. Therefore, its plasticity is classified as Class IV.

Claims

1. A method for determining the plasticity of tobacco leaf raw material during threshing and re-drying processing, characterized in that, The determination method includes: The plasticity characterization index of tobacco leaves was tested, and the test results were preprocessed to obtain standardized data; The weights of each indicator of tobacco leaf plasticity were determined based on standardized data; The comprehensive score of the tobacco leaves is calculated based on the weights, and the plasticity level of the tobacco leaves is determined based on the comprehensive score.

2. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 1, characterized in that, The preprocessing of the detection results includes unifying the direction of the indicators and performing reciprocal processing on the inverse indicators.

3. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 1, characterized in that, The preprocessing of the test results also includes standardization, and the standardization method includes range standardization. The range standardization is achieved by mapping the detection results to a specified interval [0,1] through a linear transformation.

4. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 1, characterized in that, The method for determining the weights includes a first weight determination method and a second weight determination method, and a comprehensive weight is calculated based on the results of the first weight determination method and the second weight determination method.

5. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 4, characterized in that, The first weight determination method includes: Calculate the standard deviation of each of the aforementioned tobacco leaf plasticity characterization indices; Calculate the correlation coefficients among the various tobacco leaf plasticity characterization indices; Calculate the conflict between the various characterization indices of tobacco leaf plasticity; Calculate the amount of information among the various tobacco leaf plasticity characterization indices; Enhance weighting to highlight the weight differences of important indicators; The information content among the various tobacco leaf plasticity characterization indicators is normalized to obtain the first weight.

6. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 4, characterized in that, The second weight determination method includes: Calculate the weight of each observed value under each of the aforementioned tobacco leaf plasticity characterization indices; Calculate the information entropy based on the stated proportion; Calculate the information utility value based on the information entropy; Enhance the information utility value by highlighting the weight differences of important indicators; The second weight is calculated based on the enhanced information utility value.

7. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 4, characterized in that, Methods for calculating the overall weight include: Let the combined weights be: Based on game theory, the goal is to minimize the combined weights. W With two basic weights ω 1 , ω The deviation from 2 is the objective, and the objective function is: Solve for the optimal combination coefficients a and b.

8. The method for determining the plasticity of tobacco raw material after threshing and re-drying according to claim 1, characterized in that, Based on the comprehensive score range of all tobacco leaf samples, the plasticity grade of tobacco leaf raw material for threshing and re-drying is classified; the plasticity grade is divided into 3 to 10 levels.

9. A method for determining the plasticity of a leaf group formulation module, characterized in that, The determination method includes: According to any one of claims 1-8, the method for determining the plasticity of tobacco raw material after threshing and re-drying is used to rate the plasticity of various tobacco leaves in the leaf blend formula to obtain the combination of plasticity grades of the leaf blend formula. The plasticity grade of the leaf group formulation is determined according to the plasticity grade combination method.

10. The method for determining the plasticity of the leaf group formulation module according to claim 9, characterized in that, The method for determining the plasticity grade of the leaf group formulation includes: A. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are adjacent, the plasticity grade of the tobacco raw material with a raw material content of more than 50% shall be selected as the plasticity grade of the leaf blend formula. B. When the leaf blend formula contains two types of tobacco raw materials with different plasticity grades, and the grades are not adjacent, the plasticity grade of the tobacco raw materials with a raw material content of more than 60% shall be selected as the plasticity grade of the leaf blend formula. C. When the leaf blend formula contains three types of tobacco raw materials with different plasticity grades and the grades are adjacent, if one type of tobacco raw material with a plasticity grade accounts for no less than 50% and another type of tobacco raw material with a plasticity grade accounts for no less than 20%, then the plasticity grade with a proportion of no less than 50% shall be selected as the plasticity grade of the leaf blend formula. Other methods for determining leaf group formulations besides the combination of the three plasticity grades (A, B, and C) include: The plasticity of the leaf blend formulation is determined from two aspects: ensuring the balance of processing quality and the integrity of the formulation module. First, to ensure the integrity of the leaf blend formulation, the plasticity of the formulation module is determined by the tobacco raw material with the lowest plasticity grade among the tobacco raw materials that account for no less than 5% of the leaf blend formulation. Second, to ensure the balance of processing quality of the leaf blend formulation, the plasticity of the leaf blend formulation is determined by the main tobacco raw material with a single plasticity grade or the main tobacco raw material with the larger proportion among two adjacent types of tobacco raw materials with different plasticity grades.

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