Threshing and redrying processing strength recommendation and quality requirement method based on threshing plasticity

Abstract

The invention provides a threshing and redrying processing strength recommendation and quality requirement method based on threshing plasticity, and the method comprises the steps: detecting the tobacco plasticity characterization index of tobacco, calculating the comprehensive score of the tobacco according to the weight, and determining the plasticity grade of the tobacco according to the comprehensive score; determining threshing and redrying processing strength according to the plasticity grade of the tobacco leaves; and determining threshing and redrying processing quality requirements according to the plasticity grade of the tobacco leaves. According to the method, the grade of the tobacco leaf raw material is judged according to the tobacco leaf raw material threshing plasticity judgment standard, then appropriate processing strength recommendation and processing quality requirements of the tobacco leaves of the corresponding grade are selected and determined, and an objective and scientific control method is provided for solving the problems that the sheet-shaped structure is difficult to control, and the redrying strength is too large. And the threshing and redrying processing quality is ensured.

Description

Technical Field

[0001] This invention belongs to the field of tobacco processing and relates to a method for recommending the processing intensity and quality requirements of threshing and re-drying based on the plasticity of threshing leaves. Background Technology

[0002] Leaf re-drying is a process in which tobacco leaves, after being moistened with hot air to adjust their moisture content, are separated from their stems in a leaf-threshing machine and then re-dried to dry the leaves again, adjusting the moisture content to an appropriate level before producing sheet tobacco. Before stem separation, the tobacco raw materials are heated and humidified using hot air moistening equipment to optimize their plasticity. Then, appropriate processing parameters are set in the leaf-threshing machine to achieve stem separation. Finally, the leaves are dried again in a leaf re-drying machine to further adjust the moisture content of the raw materials to meet the requirements of the cigarette industry.

[0003] At present, although the process flow of the national tobacco leaf re-drying production line is basically the same, the configuration and performance of key main equipment such as leaf moistening, leaf threshing, and re-drying are different. The determination and optimization of the appropriate processing intensity of key processes such as leaf moistening, leaf threshing, and re-drying mainly rely on subjective judgment by humans. The plasticity of tobacco raw materials is not determined according to the plasticity characterization index of tobacco leaves, which is not the main basis for selecting the appropriate processing intensity of key processes such as leaf moistening, leaf threshing, and re-drying. This leads to two problems in the leaf threshing and re-drying process: (1) The plasticity of tobacco raw materials is not determined according to the plasticity characterization index of tobacco leaves, and the appropriate processing parameter range for leaf threshing and re-drying is not scientifically and correctly selected. To a certain extent, it is easy to make it difficult to control the leaf shape structure during the leaf threshing and re-drying process. (2) In the current leaf threshing and re-drying production, the moisture content of leaf moistening is not set according to the plasticity of tobacco raw materials, and is generally set in the range of 18% to 20%. This leads to the need to control the moisture content through strong re-drying intensity, which can easily cause loss of the internal quality of tobacco leaves.

[0004] Therefore, it is necessary to study a method for recommending the processing intensity and quality requirements of tobacco leaf re-drying based on the plasticity of tobacco raw materials. Summary of the Invention

[0005] To address the technical problems existing in the prior art, this invention provides a method for recommending the processing intensity and quality requirements of threshing and re-drying based on the plasticity of threshing leaves. This method determines the grade of tobacco raw materials according to the threshing plasticity judgment standard, and then selects and determines the appropriate processing intensity and processing quality requirements for the corresponding grade of tobacco leaves. This provides a more objective and scientific control method to solve problems such as difficulty in controlling the leaf shape structure and excessive re-drying intensity, and ensures the quality of threshing and re-drying processing.

[0006] To achieve the above-mentioned technical effects, the present invention adopts the following technical solution: This invention provides a method for recommending the processing strength and quality requirements of leaf re-drying based on the plasticity of leaf cutting, the method comprising: The plasticity characterization index of tobacco leaves is detected, and the comprehensive score of the tobacco leaves is calculated according to the weights. The plasticity level of the tobacco leaves is determined based on the comprehensive score. The intensity of the threshing and re-drying process is determined based on the plasticity grade of the tobacco leaves. The quality requirements for the threshing and re-drying process are determined based on the plasticity grade of the tobacco leaves.

[0007] As a preferred technical solution of the present invention, the plasticity characterization index of the tobacco leaves includes shear strength, penetration strength, tensile strength, elongation, main vein bonding force, branch vein bonding force, and adhesion force.

[0008] As a preferred technical solution of the present invention, the plasticity grades include grades I, II, III, IV and V.

[0009] As a preferred technical solution of the present invention, the comprehensive score 0 < S ≤ 33.08 corresponds to plasticity level I; The overall score of 33.08 < S ≤ 42.42 corresponds to a plasticity level of II. The overall score of 42.42 < S ≤ 50.07 corresponds to a plasticity level of III. The overall score of 50.07 < S ≤ 59.10 corresponds to a plasticity level of IV. The overall score of 59.10 < S ≤ 100 corresponds to a plasticity level of V.

[0010] As a preferred technical solution of the present invention, the processing intensity of leaf threshing and re-drying includes the processing intensity of secondary leaf moistening, leaf threshing and air separation, and tobacco leaf re-drying.

[0011] As a preferred technical solution of the present invention, the secondary leaf-moistening processing intensity of the tobacco leaves of plasticity grade II is lower than that of the tobacco leaves of plasticity grade I, the leaf-beating and air-splitting processing intensity is higher than that of the tobacco leaves of plasticity grade I, and the leaf-drying processing intensity is lower than that of the tobacco leaves of plasticity grade I. The secondary leaf-moistening process of the tobacco leaves of plasticity grade III is less intense than that of the tobacco leaves of plasticity grade II, the leaf-beating and air-sifting process is more intense than that of the tobacco leaves of plasticity grade II, and the re-drying process of the tobacco leaves is less intense than that of the tobacco leaves of plasticity grade II. The secondary leaf-moistening processing intensity of the tobacco leaves of plasticity grade IV is lower than that of the tobacco leaves of plasticity grade III, the leaf-beating and air-splitting processing intensity is the same as that of the tobacco leaves of plasticity grade III, and the leaf-drying processing intensity is lower than that of the tobacco leaves of plasticity grade III. The secondary leaf-moistening processing intensity of the tobacco leaves with plasticity grade V is the same as that of the tobacco leaves with plasticity grade IV, the leaf-threshing and air-splitting processing intensity is higher than that of the tobacco leaves with plasticity grade IV, and the re-drying processing intensity of the tobacco leaves is the same as that of the tobacco leaves with plasticity grade IV.

[0012] As a preferred technical solution of the present invention, the quality indicators of the processing process include leaf moisture content, standard deviation of leaf moisture content, large leaf rate before roasting, broken leaf rate before roasting, stem content in leaves before roasting, uniformity of leaf shape structure, moisture content in the cold room, standard deviation of moisture content in the cold room, moisture content of finished tobacco leaves, and CV value of finished tobacco leaves.

[0013] As a preferred technical solution of the present invention, the quality indicators of the processing are preferably the moisture content of the moistened leaves and the percentage of large leaves before roasting.

[0014] As a preferred embodiment of the present invention, the moisture content of the grade I plasticity tobacco leaves is 18.0 ± 0.5%, and the percentage of large leaves before curing is < 45.0%. The moisture content of the grade II plasticity tobacco leaves is 17.5±0.5%, and the percentage of large leaves before curing is <43.0%. The moisture content of the grade III plasticity tobacco leaves is 17.0 ± 0.5%, and the percentage of large leaves before curing is < 42.0%. The moisture content of the tobacco leaves of the plasticity grade IV is 16.5±0.5%, and the percentage of large leaves before curing is <42.0%; The moisture content of the tobacco leaves with plasticity grade V is 16.0±0.5%, and the percentage of large leaves before curing is <40.0%.

[0015] As a preferred technical solution of the present invention, the standard deviation of the moisture content of the tobacco leaves of plasticity grades I to V is <0.45%, the pre-curing breakage rate is <0.50%, the pre-curing stem content is <1.50%, the uniformity of leaf structure is <5.0%, the moisture content in the cold room is 9.0~10.5%, the standard deviation of the moisture content in the cold room is <0.5%, the moisture content of the finished tobacco leaves is 11.0~12.5%, and the CV value of the moisture content of the finished tobacco leaves is <2.0%.

[0016] Compared with the prior art, the present invention has at least the following beneficial effects: This invention provides a method for recommending the processing intensity and quality requirements of threshing and re-drying based on the plasticity of threshing leaves. The method determines the grade of tobacco raw materials according to the threshing plasticity judgment standard, and then selects and determines the appropriate processing intensity and processing quality requirements for the corresponding grade of tobacco leaves. It initially determines the recommended processing intensity and processing quality requirements for moistening, threshing, and re-drying, providing a more objective and scientific control method to solve problems such as difficulty in controlling leaf shape and excessive re-drying intensity, and ensuring the quality of threshing and re-drying processing. Detailed Implementation

[0017] The technical solution of this application will be further described below through specific implementation methods.

[0018] This invention provides a method for recommending the processing strength and quality requirements of leaf re-drying based on the plasticity of leaf cutting, the method comprising: The plasticity characterization index of tobacco leaves is detected, and the comprehensive score of the tobacco leaves is calculated according to the weights. The plasticity level of the tobacco leaves is determined based on the comprehensive score. The intensity of the threshing and re-drying process is determined based on the plasticity grade of the tobacco leaves. The quality requirements for the threshing and re-drying process are determined based on the plasticity grade of the tobacco leaves.

[0019] In one specific embodiment of the present invention, the plasticity characterization indicators of the tobacco leaves include shear strength, penetration strength, tensile strength, elongation, main vein bonding force, branch vein bonding force, and adhesion force.

[0020] In one specific embodiment of the present invention, the correspondence between the comprehensive score and the plasticity grade of the tobacco leaf is shown in Table 1.

[0021] Table 1 In one specific embodiment of the present invention, the relationship between the plasticity grade of tobacco leaves and the intensity of the threshing and re-drying process is shown in Table 2.

[0022] Table 2 In one specific embodiment of the present invention, according to the results in Table 2, suitable processing intensity recommendations for key processes such as leaf moistening, leaf threshing, and re-drying are selected for the corresponding categories of threshing plastic tobacco raw materials. Based on the processing intensity recommendations, the suitable processing technology and processing parameters of the leaf threshing and re-drying production line are optimized and improved.

[0023] In one specific embodiment of the present invention, based on the plasticity grade of tobacco leaves and previous processing conditions (including processing parameters and the quality of finished tobacco leaves) of different raw materials with different plasticity characteristics, the required processing intensity of tobacco leaves with different plasticity grades has been determined through empirical summarization.

[0024] In one specific embodiment of the present invention, the relationship between the plasticity grade of tobacco leaves and the quality requirements of the threshing and re-drying process is shown in Table 3.

[0025] Table 3 In one specific embodiment of the present invention, processing quality requirements are set for the corresponding categories of threshed plastic tobacco raw materials according to Table 3. The differences in processing quality requirements are mainly reflected in the moisture content of moistened tobacco leaves and the percentage of large leaves before curing. The purpose is to achieve synergistic optimization between key processes of threshing and re-drying, as well as between threshing and re-drying and cigarette manufacturing, by controlling the moisture content of moistened tobacco leaves and the distribution of tobacco leaf structure of different plastic tobacco raw materials.

[0026] In one specific embodiment of the present invention, the method for determining the plasticity of tobacco leaf raw material during threshing and re-drying includes: The plasticity 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.

[0027] 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.

[0028] 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.

[0029] In one specific embodiment 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.

[0030] In one specific embodiment of the present invention, the preprocessing of the detection results further includes standardization processing, and the standardization processing method includes the range standardization method.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] In one specific embodiment of the present invention, the method for calculating the conflict between various tobacco leaf plasticity characterization indicators can be to combine the correlation coefficients between the various tobacco leaf plasticity characterization indicators into a correlation coefficient matrix. If there is a strong negative correlation (such as a Pearson coefficient close to -1), it indicates that when one increases, the other tends to decrease, which reveals a direct conflict relationship. A positive correlation means synergy.

[0038] In one specific embodiment of the present invention, the amount of information among various tobacco leaf plasticity characterization indicators can be measured by standard deviation or coefficient of variation.

[0039] In one specific embodiment of the present invention, the squared enhancement weight of information content can be used.

[0040] 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.

[0041] 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.

[0042] In one specific embodiment of the present invention, the information utility value can be calculated by: calculating the conditional entropy of each parameter; calculating the information gain based on the difference between the information entropy and the conditional entropy; calculating the intrinsic information of each parameter; and calculating the gain ratio by the ratio of the information gain to the intrinsic information, wherein the gain ratio is the information utility value.

[0043] In one specific embodiment of the present invention, the squared enhancement weight of the information utility value can be adopted.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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.

[0048] 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.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] For other formulation modules, plasticity should be determined according to step ⑤.

[0058] ⑤ Other recipe modules This includes other formulation modules in ③, other formulation modules in ④, four types of plastic tobacco raw material formulation modules, and five types of plastic tobacco raw material formulation modules.

[0059] The plasticity of a formulation module 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 formulation module, its plasticity is determined by the tobacco raw materials with relatively poor plasticity, accounting for no less than 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, which account for a large proportion.

[0060] 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 In this embodiment, three tobacco leaf samples were used: tobacco leaf sample 1 and tobacco leaf sample 2 were grade C3F, and tobacco leaf sample 3 was grade B2F.

[0061] (1) Determination of plasticity characterization indexes and plasticity judgment of tobacco raw materials The plasticity characterization indicators of three tobacco leaf samples were sampled and tested, and the test results are shown in Table 4. According to Table 1, this batch of tobacco leaf raw materials is classified as Grade III tobacco leaf.

[0062] Table 4 (2) Selection of tobacco processing intensity After testing, this batch of tobacco leaves was classified as Grade III tobacco leaves with moderate plasticity. Therefore, according to Table 2, the appropriate processing intensities for secondary leaf moistening, leaf threshing and air separation, and leaf re-drying of this batch were determined to be medium, medium, and medium, respectively.

[0063] (3) Setting processing quality requirements According to Table 3, the processing quality requirements for this batch of tobacco raw materials are set as follows: moisture content of moistened leaves 17.0±0.5%; standard deviation of moisture content of moistened leaves <0.45%; large leaf rate before curing <42.0%; broken leaf rate before curing <0.50%; stem content of leaves before curing <1.50%; leaf shape uniformity SQH1 <5.0%; moisture content in the cooling room 9.0-10.5%; moisture content range between the left and right sides of the cooling room <0.5%; moisture content of finished tobacco leaves 11.0-12.5%; CV value of finished tobacco leaves <2.0%.

[0064] Example 2 In this embodiment, three tobacco leaf samples were used: tobacco leaf sample 1 and tobacco leaf sample 3 were grade B3F, and tobacco leaf sample 2 was grade C3F.

[0065] (1) Determination of plasticity characterization indexes and plasticity judgment of tobacco raw materials The plasticity characterization indicators of three tobacco leaf samples were sampled and tested, and the test results are shown in Table 5. According to the table, this batch of tobacco leaf raw materials is classified as Grade IV tobacco leaf.

[0066] Table 5 (2) Selection of tobacco processing intensity After testing, this batch of tobacco leaves was classified as Grade III tobacco leaves with qualified plasticity. Therefore, according to Table 2, the appropriate processing intensities for secondary leaf moistening, leaf threshing and air separation, and leaf re-drying of this batch were determined to be low, medium, and low, respectively.

[0067] (3) Setting processing quality requirements According to Table 3, the processing quality requirements for this batch of tobacco raw materials are set as follows: moisture content of moistened leaves 16.5±0.5%; standard deviation of moisture content of moistened leaves <0.45%; large leaf rate before curing <42.0%; broken leaf rate before curing <0.50%; stem content of leaves before curing <1.50%; leaf shape uniformity SQH1 <5.0%; moisture content in the cooling room 9.0-10.5%; moisture content range between the left and right sides of the cooling room <0.5%; moisture content of finished tobacco leaves 11.0-12.5%; CV value of finished tobacco leaves <2.0%.

[0068] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0069] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0070] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A method for recommending the processing strength and quality requirements of leaf re-drying based on the plasticity of leaf cutting, characterized in that, The method includes: The plasticity characterization index of tobacco leaves is tested, and the comprehensive score of the tobacco leaves is calculated according to the weights. The plasticity level of the tobacco leaves is determined based on the comprehensive score. The intensity of the threshing and re-drying process is determined based on the plasticity grade of the tobacco leaves. The quality requirements for the threshing and re-drying process are determined based on the plasticity grade of the tobacco leaves.

2. The method according to claim 1, characterized in that, The plasticity characteristics of the tobacco leaves include shear strength, penetration strength, tensile strength, elongation, midrib bonding strength, branch vein bonding strength, and adhesion strength.

3. The method according to claim 1, characterized in that, The plasticity grades include Grade I, Grade II, Grade III, Grade IV and Grade V.

4. The method according to claim 3, characterized in that, The overall score of 0 < S ≤ 33.08 corresponds to a plasticity level of I. The overall score of 33.08 < S ≤ 42.42 corresponds to a plasticity level of II. The overall score of 42.42 < S ≤ 50.07 corresponds to a plasticity level of III. The overall score of 50.07 < S ≤ 59.10 corresponds to a plasticity level of IV. The overall score of 59.10 < S ≤ 100 corresponds to a plasticity level of V.

5. The method according to claim 1, characterized in that, The processing intensity of leaf threshing and re-drying includes the processing intensity of secondary leaf moistening, leaf threshing and air separation, and tobacco leaf re-drying.

6. The method according to claim 5, characterized in that, The secondary leaf-moistening process of the tobacco leaves of plasticity grade II is less intense than that of the tobacco leaves of plasticity grade I, the leaf-threshing and air-splitting process is more intense than that of the tobacco leaves of plasticity grade I, and the re-drying process of the tobacco leaves is less intense than that of the tobacco leaves of plasticity grade I. The secondary leaf-moistening process of the tobacco leaves of plasticity grade III is less intense than that of the tobacco leaves of plasticity grade II, the leaf-beating and air-sifting process is more intense than that of the tobacco leaves of plasticity grade II, and the re-drying process of the tobacco leaves is less intense than that of the tobacco leaves of plasticity grade II. The secondary leaf-moistening processing intensity of the tobacco leaves of plasticity grade IV is lower than that of the tobacco leaves of plasticity grade III, the leaf-beating and air-splitting processing intensity is the same as that of the tobacco leaves of plasticity grade III, and the leaf-drying processing intensity is lower than that of the tobacco leaves of plasticity grade III. The secondary leaf-moistening processing intensity of the tobacco leaves with plasticity grade V is the same as that of the tobacco leaves with plasticity grade IV, the leaf-threshing and air-splitting processing intensity is higher than that of the tobacco leaves with plasticity grade IV, and the re-drying processing intensity of the tobacco leaves is the same as that of the tobacco leaves with plasticity grade IV.

7. The method according to claim 1, characterized in that, The quality indicators of the processing process include the moisture content of the moistened leaves, the standard deviation of the moisture content of the moistened leaves, the rate of large pieces before roasting, the rate of broken pieces before roasting, the rate of stems in the leaves before roasting, the uniformity of the leaf structure, the moisture content in the cold room, the standard deviation of the moisture content in the cold room, the moisture content of the finished tobacco leaves, and the CV value of the moisture content of the finished tobacco leaves.

8. The method according to claim 7, characterized in that, The quality indicators for the processing are the moisture content of the leaves after moistening and the percentage of large pieces before roasting.

9. The method according to claim 8, characterized in that, The moisture content of the grade I plasticity tobacco leaves is 18.0 ± 0.5%, and the percentage of large leaves before curing is <45.0%. The moisture content of the grade II plasticity tobacco leaves is 17.5±0.5%, and the percentage of large leaves before curing is <43.0%. The moisture content of the grade III plasticity tobacco leaves is 17.0 ± 0.5%, and the percentage of large leaves before curing is < 42.0%. The moisture content of the tobacco leaves of the plasticity grade IV is 16.5±0.5%, and the percentage of large leaves before curing is <42.0%; The moisture content of the tobacco leaves with plasticity grade V is 16.0±0.5%, and the percentage of large leaves before curing is <40.0%.

10. The method according to claim 7, characterized in that, The standard deviation of the moisture content of the tobacco leaves of plasticity grades I to V is <0.45%, the breakage rate before curing is <0.50%, the stem content in the leaves before curing is <1.50%, the uniformity of leaf structure is <5.0%, the moisture content in the cold room is 9.0~10.5%, the standard deviation of the moisture content in the cold room is <0.5%, the moisture content of the finished tobacco leaves is 11.0~12.5%, and the CV value of the moisture content of the finished tobacco leaves is <2.0%.

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