Module formula processing method for threshing and redrying

Abstract

The invention particularly discloses a module formula processing method for threshing and redrying. The method comprises the steps that raw materials of high-grade cigarettes and middle-grade and low-grade cigarettes with the same production place, the same variety, similar style characteristics and different quality characteristics are found; tobacco leaf raw materials corresponding to high-grade cigarettes are defined as a target module A, and raw materials corresponding to middle-grade and low-grade cigarettes are defined as a lifting module B; setting sensory quality key indexes of tobacco leaf raw material grades required by high-grade cigarette products; the lifting module B is subjected to a leaf-stem separation process to separate tobacco lamina with different sizes, and score evaluation of sensory quality key indexes is carried out; according to the sensory quality key indexes of the improving module B, equation relations with the target module A are established respectively so as to determine the proportion of the tobacco lamina with different sizes in the conversion and matching formula, and a tobacco lamina split type application module is formed and used instead of the target module A. The utilization efficiency of tobacco leaf raw materials can be improved, and the supply-demand contradiction is relieved.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco processing, and more specifically, to a method for processing module formulas for threshing and redrying tobacco. Background Art

[0002] With the rapid upgrading of the product structure in the cigarette industry, the demand for high-quality raw materials is increasing day by day. However, the resources of high-quality tobacco raw materials are limited, resulting in a more prominent contradiction between the supply and demand of raw materials. Research shows that there are differences in chemical components (such as reducing sugar, total sugar, and nicotine content) among tobacco leaves of different sizes in different grades of tobacco leaves. Tobacco leaves of a specific size have quality characteristics similar to those of high-grade tobacco leaves. At present, there is no systematic solution in the industry to guide how to recombine tobacco leaves of different sizes according to the quality characteristics of the tobacco leaves themselves to form a new modular formula, so as to achieve the purpose of ensuring product quality and effectively utilizing existing raw materials. Therefore, how to achieve this goal is of great significance. Summary of the Invention

[0003] The present invention provides a method for processing module formulas for threshing and redrying tobacco, which solves the problem of the contradiction between supply and demand of high-quality tobacco leaves required for high-end cigarettes in existing tobacco leaf raw materials, can improve the utilization efficiency of tobacco leaf raw materials, relieve the contradiction between supply and demand, and enhance product quality.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for processing module formulas for threshing and redrying tobacco, comprising:

[0006] Finding raw materials with similar origin, same variety, similar style characteristics, and different quality characteristics in high-grade cigarettes and medium- and low-grade cigarettes;

[0007] Defining the tobacco leaf raw materials corresponding to high-grade cigarettes as target module A, and the raw materials corresponding to medium- and low-grade cigarettes as improvement module B;

[0008] Setting key sensory quality indicators for the grades of tobacco leaf raw materials required for high-grade cigarette products, wherein the key sensory quality indicators include: quality of aroma, quantity of aroma, concentration, and foreign odor;

[0009] Subjecting the improvement module B to a leaf-stem separation process to separate tobacco leaves of different sizes, and performing a score evaluation on the key sensory quality indicators;

[0010] According to the key sensory quality indicators of the improvement module B, establishing an equation relationship with the target module A respectively to determine the proportion of tobacco leaves of different sizes in the conversion and assembly formula, forming a tobacco leaf splitting and opening application module, and then using it to replace the target module A.

[0011] Preferably, the cut tobacco of different sizes includes: extra-large pieces, large pieces, medium pieces, small pieces, fragments and dust.

[0012] Preferably, it also includes:

[0013] Perform data normalization standard processing on the key sensory quality index values corresponding to the cut tobacco samples of different sizes of the target module A and the enhancement module B, so that the data is mapped to the range of [0, 1].

[0014] Preferably, it also includes:

[0015] Obtain the weight ratio of the cut tobacco of different sizes in the original grade mixed sample, and use it as the constraint condition for the corresponding equation relationship of the key sensory quality index.

[0016] Preferably, it also includes:

[0017] Form multiple groups of equations from the equation relationships corresponding to the aroma quality, aroma quantity, concentration, and foreign odor, and use the least squares method to solve the multiple groups of equations.

[0018] Preferably, it also includes:

[0019] When the least squares method has a unique solution, if the formulation ratio is consistent with the actual situation, directly formulate the formulation according to the result;

[0020] When the least squares method has no solution or infinitely many solutions, sort according to the aroma quality score, and gradually relax the constraint conditions to solve until a solution is found.

[0021] Preferably, it also includes:

[0022] According to the solution situation, correct the solution in combination with the actual situation according to the principle of actual conformity. Take the limit value 0 for the order of magnitude difference exceeding the set threshold, and then formulate a small sample of the cut tobacco slice type application module according to the corrected solution ratio.

[0023] Preferably, it also includes:

[0024] Evaluate the small sample of the cut tobacco slice type application module by sensory evaluation, and determine the cut tobacco slice type application module formulation plan according to the sensory evaluation result.

[0025] Preferably, establishing the equation relationship with the target module A respectively according to the key sensory quality index of the enhancement module B includes:

[0026] A 感官指标 = ;

[0027] Among them, A 感官指标 is the value after data normalization standard processing of the sensory index data corresponding to high-grade cigarette products, B i-大片 、Bi-中片 , B i-小片 , B i-碎片 , B i-碎末 is the value after normalizing the key index data of the sensory quality of the i-th cut tobacco sample of corresponding size, a i , b i , c i , d i and e i are the corresponding dependent variables.

[0028] The present invention provides a module formula processing method for threshing and redrying. By finding the improvement modules of medium and low-grade cigarette raw materials, separating cut tobacco of different sizes through the leaf-stem separation process, and evaluating the scores of the key indexes of sensory quality, according to the key indexes of sensory quality of the improvement module B, an equation relationship with the target module A is established respectively to determine the proportion of cut tobacco of different sizes in the conversion and assembly formula. It solves the problem of the supply-demand contradiction of high-quality tobacco leaves required for high-end cigarettes in existing tobacco raw materials, can improve the utilization efficiency of tobacco raw materials, alleviate the supply-demand contradiction, and improve product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below.

[0030] Figure 1 is a schematic diagram of a module formula processing method for threshing and redrying provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and embodiments.

[0032] Aiming at the problem of the supply-demand contradiction of high-quality tobacco leaves required for high-end cigarettes in current raw materials, the present invention provides a module formula processing method for threshing and redrying, which solves the problem of the supply-demand contradiction of high-quality tobacco leaves required for high-end cigarettes in existing tobacco raw materials, can improve the utilization efficiency of tobacco raw materials, alleviate the supply-demand contradiction, and improve product quality.

[0033] As Figure 1 shown, a module formula processing method for threshing and redrying includes:

[0034] S1: Find raw materials with similar origin, variety, and style characteristics and different quality characteristics in high-grade cigarettes and medium and low-grade cigarettes.

[0035] S2: Define the tobacco raw materials corresponding to high-grade cigarettes as the target module A, and define the raw materials corresponding to medium and low-grade cigarettes as the improvement module B.

[0036] S3: Set the key sensory quality indicators for the tobacco leaf raw material grades required for high-grade cigarette products. The key sensory quality indicators include: aroma quality, aroma quantity, concentration, and foreign odor.

[0037] S4: Pass the upgrading module B through the leaf-stem separation process to separate cut tobacco of different sizes, and conduct a score evaluation of the key sensory quality indicators.

[0038] S5: According to the key sensory quality indicators of the upgrading module B, establish an equation relationship with the target module A respectively to determine the proportion of cut tobacco of different sizes in the conversion and blending formula, form a cut tobacco slicing and opening application module, and then replace the use of the target module A.

[0039] Specifically, first, screen the tobacco leaf raw materials that may be substituted: The grade structure of the raw materials required for high-grade cigarette products is relatively high, while the grade structure of medium- and low-grade cigarette products is generally low. Look for raw materials with the same origin, the same variety, similar style characteristics, and different quality characteristics in high-grade cigarettes and medium- and low-grade cigarettes. Such raw materials of medium- and low-grade cigarette products are tobacco leaf raw materials that may be substituted. Define such raw materials of medium- and low-grade cigarette products as the upgrading module B, and define such raw materials of high-grade cigarette products as the target module A. Clearly define the key sensory quality indicators for the tobacco leaf raw material grades required for high-grade cigarette products, including aroma quality, aroma quantity, concentration, and foreign odor. Determine the score of each indicator through sensory evaluation; separately take B n Cut tobacco samples of different sizes for key sensory quality indicators, including: aroma quality, aroma quantity, concentration, and foreign odor, and record the weight ratio of cut tobacco of different sizes in the original grade mixed sample.

[0040] Secondly, according to the key sensory quality indicators of the target A, establish equation relationships respectively, and after solving, make the sum of the squared residuals of all equations the smallest, and then obtain the proportion of the conversion and blending formula. Assemble module C according to the formula proportion and conduct a sensory quality evaluation. When there is little difference between module C and the target module A in terms of aroma quality, aroma quantity, concentration, foreign odor, etc., then module C can be used as an extended raw material to replace A. This method can improve the utilization efficiency of raw materials under the existing tobacco leaf resource allocation and solve the problem of shortage of high-grade raw materials caused by the improvement of cigarette structure.

[0041] Furthermore, the cut tobacco of different sizes includes: extra-large pieces, large pieces, medium pieces, small pieces, fragments, and fine powder.

[0042] This method also includes: performing data normalization standard processing on the key sensory quality indicator values corresponding to the cut tobacco samples of different sizes of the target module A and the upgrading module B, so that the data is mapped to the range of [0, 1].

[0043] The method further includes: obtaining the weight ratio of cut tobacco slices of different sizes in the original grade mixed sample, and using it as a constraint condition for the corresponding equation relationship of the key sensory quality indicators.

[0044] The method further includes: forming multiple groups of equations from the equation relationships corresponding to the aroma quality, aroma quantity, concentration, and foreign odor, and solving the multiple groups of equations using the least squares method.

[0045] The method further includes:

[0046] When the least squares method has a unique solution, if the formulation ratio is consistent with the actual situation, directly formulate the formulation according to the result;

[0047] When the least squares method has no solution or infinitely many solutions, sort according to the aroma quality score, and gradually relax the constraint conditions to solve until a solution is found.

[0048] In practical applications, the least squares method is used to find the best fitting solution. The least squares method can have a unique solution, no solution, or infinitely many solutions under specific conditions. For a unique solution, if the formulation ratio is basically consistent with the actual situation, directly formulate according to the result; if the formulation ratio is seriously inconsistent with the actual situation, gradually relax the constraint conditions; for the case of no solution, sort according to the aroma quality score, and gradually relax the constraint conditions to solve until a solution is found; for the case of infinitely many solutions, sort according to the aroma quality score, and gradually relax the constraint conditions to solve until a solution is found.

[0049] The method further includes: according to the solution situation, correcting the solution in combination with the actual situation according to the principle of actual consistency. For those with an order of magnitude difference exceeding the set threshold, take the limit value of 0, and then perform modular cut tobacco slice type application module assembly of small samples according to the corrected solution ratio.

[0050] The method further includes: evaluating the modular cut tobacco slice type application module assembly small sample through sensory evaluation, and determining the modular cut tobacco slice type application module assembly plan according to the sensory evaluation result.

[0051] Further, the establishment of the equation relationship with the target module A according to the key sensory quality indicators of the improvement module B respectively includes:

[0052] A 感官指标 = ;

[0053] wherein, A 感官指标 is the value after normalized standard processing of the sensory index data corresponding to high-grade cigarette products, and B i-大片 , B i-中片 , B i-小片 , B i-碎片 , B i-碎末 is the value after normalized standard processing of the key sensory quality index data of the i-th cut tobacco sample of the cut tobacco slices of the corresponding size, and ai 、b i 、c i 、d i and e i are the corresponding dependent variables, which can be 0, cannot be negative, and must be real numbers.

[0054] In practical applications, the aroma quality, aroma quantity, concentration, and foreign odor are respectively listed in the above relationships to form equalities, resulting in 4 equalities. Methods such as the inverse of the matrix and the least squares method are used to solve multiple sets of equations. Among them, the unknown variables, a i 、b i 、c i 、d i and e i are 5. The number of unknown variables is greater than the number of inequalities, that is, it is an overdetermined system. The least squares method needs to be used to find the best fitting solution to minimize the sum of the squares of the residuals of all equations.

[0055] In one embodiment, through analysis and screening, 7400 dan of C2F in a certain place in Henan is selected, which can be applied to high-grade cigarette products and is defined as A; 11700 dan of C3F in this place, which can be applied to medium and low-grade cigarette products and is defined as B1; 9800 dan of C3F in the adjacent production area of this place, which can be applied to medium and low-grade cigarette products and is defined as B2.

[0056] After the raw material B1 undergoes the leaf-stem separation process, the total weight of B1 is 7464.6 dan, and B 1-大片 accounts for 44.53% of the weight of B after leaf-stem separation, and the medium leaves of B1 account for 38.47% of the weight of B after leaf-stem separation. -小片 accounts for 13.15% of the weight of B after leaf-stem separation, and B1 -碎片 accounts for 3.47% of the weight of B after leaf-stem separation, and B1 -碎末 accounts for 0.38% of the weight of B after leaf-stem separation.

[0057] After the raw material B2 undergoes the leaf-stem separation process, the total weight of B2 is 6272.4 dan. The large leaves of B2 account for 46.28% of the weight of B after leaf-stem separation, the medium leaves of B2 account for 37.654% of the weight of B after leaf-stem separation, the small leaves of B2 account for 12.73% of the weight of B after leaf-stem separation, the fragments of B2 account for 3.05% of the weight of B after leaf-stem separation, and the dust of B2 accounts for 0.29% of the weight of B after leaf-stem separation.

[0058] The weights of cut tobacco of different sizes are shown in Table 1:

[0059] Evaluate the scores of the above samples for the key sensory quality indicators in sequence, and perform data standardization normalization on the evaluation results. The processed results are shown in Table 2:

[0060] Based on the above normalization processing results, establish an equation relationship:

[0061] Based on the relationship of aroma quality, establish the following equation:

[0062] A 香气质 = 。

[0063] That is, 0.75 = 。

[0064] Based on the relationship of aroma quantity, establish the following equation:

[0065] 0.50 = 。

[0066] Based on the relationship of concentration, establish the following equation:

[0067] 0.67 = 。

[0068] Based on the relationship of off-flavors, establish the following equation:

[0069] 0.4 = 。Solving the above four systems of equations, there are too many unknowns, exceeding the number of equations. In this case, the matrix listed is not a square matrix and not full rank. Therefore, it cannot be solved using the inverse of the matrix. Using the least squares method, a set of solutions can be found to minimize the sum of the squared residuals of all equations.

[0070] According to the actual situation, it is difficult to achieve a 10-digit order of magnitude difference in the formulation accuracy. For smaller values, take the limit value of 0 to obtain the optimized solution as follows:

[0071] [0.474, 0, 0.344, 0.063, 0.573, 0, 0, 0, 0.363, 0.531];

[0072] The proportion of the transformed combination formula is shown in Table 3:

[0073] As can be seen from the above, the proportion of fragments and fine powder is too large, seriously deviating from the actual situation. Gradually relax the constraint conditions. Until the constraint conditions are relaxed as follows:

[0074] 1 ≤ a / b;

[0075] 1 ≤ b / c ≤ 5;

[0076] 3 ≤ c / d ≤ 5;

[0077] 3 ≤ d / e ≤ 15;

[0078] Solution result:

[0079] a1 = 0.12561591216841408.

[0080] a2 = 0.23400717347552963.

[0081] b1 = 0.15691894248623767.

[0082] b2 = 0.2333741624531864.

[0083] c1 = 0.052343596070985605.

[0084] c2 = 0.0778798716151122.

[0085] d1 = 0.013086608527076793.

[0086] d2 = 0.019472323222727295.

[0087] e1 = 0.001454070702398555.

[0088] e2 = 0.0021635948361714992.

[0089] The proportion of the conversion combination formula is shown in Table 4:

[0090] According to the above combination module C and conduct sensory quality evaluation. There are little differences between module C and the target module A in terms of aroma quality, aroma quantity, concentration, foreign odors, etc. Module C can be used as an extended raw material to replace the target module A.

[0091] Based on the actual quantity of different sizes as the benchmark and with the conversion formula ratio as the constraint condition, calculate the quantity of module C. The quantity of module C is 7908.7 dan. The scale of the target module A is increased, with an increase rate of 106.87%.

[0092] It can be seen that the present invention provides a module formula processing method for threshing and redrying. By finding the improvement modules for medium- and low-grade cigarette raw materials, separating cut tobacco of different sizes through the leaf-stem separation process, and evaluating the scores of the key sensory quality indicators, according to the key sensory quality indicators of the improvement module B, an equation relationship with the target module A is established respectively to determine the proportion of cut tobacco of different sizes in the conversion and assembly formula. This solves the problem of the supply-demand contradiction between the existing tobacco raw materials and the high-quality tobacco required for high-end cigarettes, can improve the utilization efficiency of tobacco raw materials, relieve the supply-demand contradiction, and enhance the product quality.

[0093] As mentioned above, the above are only the preferred embodiments of the present invention, and there is no any form of limitation to the present invention; any ordinary technician in the industry can smoothly implement the present invention according to the instructions in the accompanying drawings and the above description; however, any slight changes, modifications and equivalent changes made by those skilled in the art within the scope of the technical solution of the present invention by using the technical content disclosed above are all equivalent embodiments of the present invention; at the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for processing module formulas for leaf threshing and redrying, characterized in that, Including: Search for raw materials with the same origin, the same variety, similar style characteristics, and different quality characteristics in high-grade cigarettes and medium- and low-grade cigarettes; Define the tobacco leaf raw materials corresponding to high-grade cigarettes as target module A, and the raw materials corresponding to medium- and low-grade cigarettes as improvement module B; Set the key sensory quality indicators for the grades of tobacco leaf raw materials required for high-grade cigarette products. The key sensory quality indicators include: aroma quality, aroma quantity, concentration, and foreign odor; Subject the improvement module B to a leaf-stem separation process to separate cut tobacco of different sizes, and conduct a score evaluation of the key sensory quality indicators; According to the key sensory quality indicators of the improvement module B, establish an equation relationship with the target module A respectively to determine the proportion of cut tobacco of different sizes in the conversion and blending formula, form a cut tobacco slicing and opening application module, and then use it to replace the target module A.

2. The module formula processing method for tobacco leaf threshing and redrying according to claim 1, wherein The cut tobacco of different sizes includes: extra-large pieces, large pieces, medium pieces, small pieces, fragments, and fine powder.

3. The module formula processing method for threshing and redrying according to claim 2, characterized in that, Also including: Perform data normalization standard processing on the key sensory quality indicator values corresponding to the cut tobacco samples of different sizes in the target module A and the improvement module B, so that the data is mapped to the range of [0, 1].

4. The module formula processing method for threshing and redrying according to claim 3, characterized in that, Also including: Obtain the weight ratio of cut tobacco of different sizes in the original grade mixed sample, and use it as a constraint condition for the equation relationship corresponding to the key sensory quality indicators.

5. The module formula processing method for leaf threshing and redrying according to claim 4, characterized in that Also including: Form multiple groups of equations from the equation relationships corresponding to aroma quality, aroma quantity, concentration, and foreign odor, and solve the multiple groups of equations using the least squares method.

6. The module formula processing method for leaf threshing and redrying according to claim 5, characterized in that Also including: When the least squares method has a unique solution, if the formula ratio is consistent with the actual situation, directly conduct blending according to the result; When the least squares method has no solution or an infinite number of solutions, gradually relax the constraint conditions for solution according to the aroma quality score ranking until a solution is found.

7. The module formula processing method for leaf threshing and redrying according to claim 6, characterized in that, Also including: According to the solution situation, correct the solution in combination with the actual situation based on the principle of actual consistency. Take the limit value 0 for the order of magnitude difference exceeding the set threshold, and then conduct a trial blend of the module cut tobacco slicing application module according to the corrected solution ratio.

8. The module formula processing method for threshing and redrying according to claim 7, characterized in that, Also including: Evaluate the trial blend of the cut tobacco slicing application module through sensory evaluation, and determine the cut tobacco slicing application module blending plan according to the sensory evaluation result.

9. The module formula processing method for threshing and redrying according to claim 8, characterized in that, The establishment of the equation relationship with the target module A respectively according to the key sensory quality indicators of the improvement module B includes: A 感官指标 = ; Among them, A 感官指标 is the value after normalized standard processing of the sensory index data corresponding to high-grade cigarette products, B i-大片 , B i-中片 , B i-小片 , B i-碎片 , B i-碎末 are the values after normalized standard processing of the key sensory quality index data of the i-th cut tobacco sample corresponding to the corresponding size, a i , b i , c i , d i and e i are the corresponding dependent variables.

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