Comprehensive evaluation method for quality of tobacco leaves of cigar coating, electronic equipment and storage medium

Abstract

The invention relates to a comprehensive evaluation method for the quality of cigar coating tobacco leaves, electronic equipment and a storage medium, and belongs to the technical field of cigar tobacco leaf quality evaluation.The method comprises the steps that a cigar coating tobacco leaf sample is obtained, all cigar coating characteristic indexes of the cigar coating tobacco leaf sample are tested, and corresponding tobacco leaf quality detection indexes are obtained; setting the index weight of each cigar wrapper characteristic index; according to the tobacco leaf quality detection indexes, obtaining the index of each eggplant coat characteristic index; according to the index weight and the index, obtaining a tobacco comprehensive quality index; according to the tobacco leaf comprehensive quality index, determining the quality comprehensive evaluation grade of the tobacco leaf sample; according to the method, evaluation can be carried out according to all the characteristic indexes of the eggplant coating of the eggplant coating tobacco leaves, so that the quality comprehensive evaluation grade is obtained, and the purpose of evaluating the quality of the eggplant coating tobacco leaves is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cigar tobacco quality evaluation, and in particular to a comprehensive evaluation method for cigar wrapper tobacco quality, an electronic device and a storage medium. Background Art

[0002] The wrapper is the most delicate part of a cigar. It not only determines the appearance of the cigar, but also significantly improves the taste of the cigar. The wrapper tobacco leaves have high requirements in appearance, physical, chemical and sensory quality. The leaves are required to be moderate in size, wide in shape, thin, with fine veins, dense texture, uniform color, good elasticity, strong tensile strength, good combustion, gray-white, harmonious sugar-alkali ratio, potassium-chlorine ratio, strong aroma and no impurities.

[0003] At present, the output of domestic cigar wrapper tobacco leaves has increased year by year. Various industrial manufacturers have different emphases in the evaluation of cigar wrapper quality. Some pay more attention to appearance, some pay more attention to physical properties, and some pay more attention to chemical quality. They have also developed corresponding appearance quality evaluation methods, chemical composition quality evaluation methods, and sensory quality evaluation methods. However, these are all evaluations of the appearance quality, physical properties or chemical properties of the cigar wrapper. However, as for the quality of cigar wrapper tobacco leaves, technicians are still unable to judge the overall quality and lack a unified comprehensive evaluation method.

[0004] Therefore, it is urgently necessary to propose a comprehensive evaluation method for cigar wrapper tobacco leaf quality, an electronic device and a storage medium to solve the technical problem that the existing technology evaluates the cigar wrapper's physics, appearance, chemistry and appearance separately, thus failing to evaluate the overall quality of the cigar wrapper. Summary of the invention

[0005] In view of this, it is necessary to provide a comprehensive evaluation method for wrapper tobacco quality, an electronic device and a storage medium to solve the technical problem in the prior art that the physics, appearance, chemistry and appearance of the wrapper are evaluated separately, thereby failing to evaluate the overall quality of the wrapper.

[0006] In order to solve the above problems, the present invention provides a method for comprehensively evaluating the quality of wrapper tobacco leaves, comprising: Obtaining a wrapper tobacco leaf sample, and testing all wrapper characteristic indicators of the wrapper tobacco leaf sample to obtain corresponding tobacco leaf quality detection indicators, and setting an indicator weight for each wrapper characteristic indicator; According to the tobacco leaf quality detection index, an index of each tobacco wrapper characteristic index is obtained; Obtaining a comprehensive tobacco leaf quality index according to the indicator weight and the indicator index; The comprehensive quality evaluation grade of the wrapper tobacco leaf sample is determined according to the comprehensive tobacco leaf quality index.

[0007] In a possible implementation, all the characteristic indicators of the cigar wrapper include appearance quality, physical properties, chemical composition and sensory quality; the indicator index includes appearance quality index, appearance quality index, physical property index and chemical component availability index; the indicator index of each cigar wrapper characteristic indicator is obtained according to the tobacco leaf quality detection index, including: Processing the tobacco leaf quality detection index of the appearance quality based on a normalization method to obtain an appearance quality index; The sensory quality tobacco leaf quality detection index is processed based on the upper limit effect measurement method to obtain a sensory quality index; Based on the fuzzy mathematics membership function method and the entropy weight method, the tobacco leaf quality detection indicators of the physical properties and the chemical components are processed respectively to obtain the physical property index and the chemical component availability index.

[0008] In a possible implementation, the index weights include appearance quality index weights, sensory quality index weights, physical property index weights, and chemical composition index weights corresponding to the appearance quality, the sensory quality, the physical property, and the chemical composition; and obtaining the tobacco leaf comprehensive quality index according to the index weights and the index indexes includes: Obtaining an appearance quality score according to the appearance quality indicator weight and the appearance quality index; Obtaining a sensory quality score according to the sensory quality indicator weight and the sensory quality index; Obtaining a physical property score according to the physical property indicator weight and the physical property index; Obtaining a chemical component availability score according to the chemical component indicator weight and the chemical component availability index; A comprehensive tobacco leaf quality index is obtained based on the appearance quality score, the sensory quality score, the physical property score and the chemical component availability score.

[0009] In a possible implementation, determining the comprehensive quality evaluation grade of the wrapper tobacco sample according to the tobacco comprehensive quality index includes: Set multiple tobacco leaf quality grades and score ranges for each tobacco leaf quality grade; The comprehensive quality evaluation grade of the wrapper tobacco leaf sample is determined according to the comprehensive tobacco leaf quality index and the score range.

[0010] In a possible implementation, the tobacco leaf quality detection index of the appearance quality is processed based on the normalization method to obtain the appearance quality index, including: Scoring the tobacco leaf quality detection index according to the appearance quality to obtain an appearance quality detection scoring data set; The data in the appearance quality detection scoring data set are calculated based on the normalization method to obtain an appearance quality index.

[0011] In a possible implementation, the sensory quality tobacco leaf quality detection index is processed based on the upper limit effect measurement method to obtain a sensory quality index, including: Scoring the tobacco leaf quality detection index according to the sensory quality to obtain a sensory quality detection score data set; Classifying the data in the sensory quality detection and scoring data set to obtain multiple subsets, and setting a characteristic weight for each subset; According to the scores in each subset and the weights of the characteristics, a total weighted score is obtained; The total weighted scores of the plurality of subsets are calculated based on the upper limit effect measurement method to obtain a sensory quality index.

[0012] In a possible implementation, the tobacco leaf quality detection index of the physical property is processed based on the fuzzy mathematics membership function method and the entropy weight method to obtain a physical property index, including: Calculating each physical index in the tobacco leaf quality detection index of the physical property based on the fuzzy mathematics membership function method to obtain the physical membership corresponding to each index; Calculating the physical membership of each physical indicator based on the entropy weight method to obtain the corresponding physical indicator weight; A physical property index is obtained according to the physical membership degree of each physical indicator and the physical indicator weight.

[0013] On the one hand, an embodiment of the present invention discloses an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, each step of the above-mentioned embodiment of the comprehensive evaluation method for the quality of cigar wrapper tobacco leaves is implemented.

[0014] On the other hand, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various steps of the above-mentioned embodiment of the comprehensive evaluation method for the quality of cigar wrapper and tobacco leaves are implemented.

[0015] The beneficial effects of the present invention are as follows: obtaining wrapper tobacco leaf samples, and testing all wrapper characteristic indicators of the wrapper tobacco leaf samples to obtain corresponding tobacco leaf quality detection indicators, and setting indicator weights for each wrapper characteristic indicator; obtaining an indicator index for each wrapper characteristic indicator according to the tobacco leaf quality detection indicators; obtaining a tobacco leaf comprehensive quality index according to the indicator weights and the indicator indexes; determining a comprehensive quality evaluation grade of the wrapper tobacco leaf samples according to the tobacco leaf comprehensive quality index; the present invention can evaluate all wrapper characteristic indicators of the wrapper tobacco leaves, thereby obtaining a comprehensive quality evaluation grade, and achieving the purpose of evaluating the quality of the wrapper tobacco leaves. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of an embodiment of a method for comprehensive evaluation of wrapper tobacco quality provided by the present invention; Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of step S102; Figure 3 For the present invention Figure 2 A schematic flow chart of an embodiment of step S202; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0018] like Figure 1 As shown, a specific embodiment of the present invention discloses a comprehensive evaluation method for wrapper tobacco quality, comprising: S101, obtaining wrapper tobacco leaf samples, and testing all wrapper characteristic indicators of the wrapper tobacco leaf samples to obtain corresponding tobacco leaf quality detection indicators, and setting an indicator weight for each wrapper characteristic indicator; S102, obtaining an index of each characteristic index of the wrapper according to the tobacco leaf quality detection index; S103, obtaining a comprehensive tobacco leaf quality index according to the index weight and the index index; S104. Determine the comprehensive quality evaluation grade of the wrapper tobacco leaf sample based on the comprehensive tobacco leaf quality index.

[0019] In a specific embodiment of the present invention, cigar wrapper tobacco leaf samples can be harvested. After the cigar wrapper tobacco leaf samples are harvested, they undergo a series of process flows such as air-drying, air-drying, and fermentation to obtain the cigar wrapper tobacco leaf samples obtained in the embodiment of the present invention. For example, it can be carried out when tobacco leaves are harvested in the main cigar wrapper producing areas of Hubei, Yunnan, Fujian, and Sichuan provinces in 2023. According to the cigar wrapper planting yield level in previous years, 40 to 50 tobacco plants with uniform growth are selected from the determined fields, and a total of 95 tobacco leaf samples are collected. After the harvesting, they undergo a series of process flows such as air-drying, air-drying, and fermentation. All wrapper characteristic indicators of wrapper tobacco leaf samples can be tested, that is, the wrapper tobacco leaf samples can be tested through appearance quality, physical properties, chemical composition and sensory quality, so as to obtain tobacco leaf quality detection indicators for each wrapper characteristic indicator, such as appearance quality color, leaf structure, identity, oil content, uniformity, branch vein thickness, particle matter, leaf surface and other detection indicators. The color can be dark brown, the leaf structure can be loose, the identity can be thin, etc., and by consulting relevant literature and combining the characteristics of high-quality wrapper tobacco leaves, indicator weights can be set for appearance quality, physical properties, chemical composition, and sensory quality, which can be 50%, 25%, 15%, and 10% respectively. Then, the data in the tobacco leaf quality detection indicators can be processed to obtain the indicator index of each wrapper characteristic indicator, and then the comprehensive tobacco leaf quality index can be calculated based on the indicator weights and indicator indexes of all wrapper characteristic indicators, and then the comprehensive quality evaluation grade of the wrapper tobacco leaf samples can be determined based on the comprehensive tobacco leaf quality index.

[0020] Compared with the prior art, the present embodiment provides a method for obtaining wrapper tobacco leaf samples, testing all wrapper characteristic indicators of the wrapper tobacco leaf samples, obtaining corresponding tobacco leaf quality detection indicators, and setting indicator weights for each wrapper characteristic indicator; obtaining an indicator index for each wrapper characteristic indicator based on the tobacco leaf quality detection indicators; obtaining a tobacco leaf comprehensive quality index based on the indicator weights and the indicator indexes; determining a comprehensive quality evaluation grade of the wrapper tobacco leaf samples based on the tobacco leaf comprehensive quality index; the present invention can evaluate all wrapper characteristic indicators of the wrapper tobacco leaves, thereby obtaining a comprehensive quality evaluation grade, thereby achieving the purpose of evaluating the quality of the wrapper tobacco leaves.

[0021] In some embodiments of the present invention, Figure 2 As shown, all wrapper characteristic indicators include appearance quality, physical properties, chemical composition and sensory quality; the indicator index includes appearance quality index, appearance quality index, physical property index and chemical composition availability index; step S102 includes: S201, processing the tobacco leaf quality detection index of appearance quality based on a normalization method to obtain an appearance quality index; S202, processing the tobacco leaf quality detection index of sensory quality based on the upper limit effect measurement method to obtain a sensory quality index; S203, based on the fuzzy mathematics membership function method and the entropy weight method, the tobacco leaf quality detection indicators of physical properties and chemical components are processed respectively to obtain a physical property index and a chemical component availability index.

[0022] In a specific embodiment of the present invention, all wrapper characteristic indicators may include appearance quality, physical properties, chemical composition and sensory quality, and the indicator index may include appearance quality index, appearance quality index, physical property index and chemical component availability index; thereby, the tobacco leaf quality detection indicator of appearance quality may be processed and calculated based on the normalization method to obtain the appearance quality index, and the tobacco leaf quality detection indicator of sensory quality may be processed and calculated based on the upper limit effect measurement method to obtain the sensory quality index, and the tobacco leaf quality detection indicators of physical properties and chemical components may be processed based on the fuzzy mathematics membership function method and the entropy weight method respectively to obtain the physical property index and the chemical component availability index.

[0023] In some embodiments of the present invention, step S201 includes: Scoring tobacco leaf quality inspection indicators based on appearance quality to obtain an appearance quality inspection score data set; Based on the normalization method, the data in the appearance quality inspection score data set are calculated to obtain the appearance quality index.

[0024] In a specific embodiment of the present invention, tobacco leaf quality detection indicators of appearance quality may include color, leaf structure, identity, oil content, uniformity, vein thickness, particles, leaf surface, etc., and then the tobacco leaf quality detection indicators may be scored respectively to obtain an appearance quality detection scoring data set. The wrapper appearance quality scoring standard is shown in Table 1: Table 1. Wrapper appearance quality scoring criteria

[0025] Then the normalization method can be used for standardization, and the calculated value is used as the appearance quality index (AQI) of the wrapper tobacco leaf, as shown in formula (1): (1) In the formula, A 0 is the original value in the appearance quality inspection score dataset, A min is the minimum value in the appearance quality inspection score data set, A max It is the maximum value in the appearance quality detection score dataset.

[0026] In some embodiments of the present invention, Figure 3 As shown, step S202 includes: S301, scoring tobacco leaf quality detection indicators based on sensory quality to obtain a sensory quality detection score data set; S302, classifying the data in the sensory quality detection score data set to obtain multiple subsets, and setting a characteristic weight for each subset; S303, obtaining a total weighted score according to the score and feature weight in each subset; S304. Calculate the total weighted scores of multiple subsets based on the upper limit effect measurement method to obtain a sensory quality index.

[0027] In a specific embodiment of the present invention, tobacco leaf quality detection indicators of sensory quality may include aroma, richness, proficiency, irritation, softness, fineness, sweetness, cleanliness, aftertaste, combustibility, grayness, ashness, etc., which are scored by experts using a 9-point scoring method. The scoring details are as shown in Table 2 below, and a sensory quality detection scoring data set is obtained: Table 2. Wrapper sensory quality scoring criteria

[0028] Then, tobacco leaf quality detection indicators can be used for classification, such as aroma characteristics (aroma volume, richness, proficiency), smoke characteristics (irritation, softness, fineness), aftertaste characteristics (sweetness, cleanliness, aftertaste), and combustion characteristics (combustibility, gray, ash content), so that multiple subsets of aroma characteristics, smoke characteristics, aftertaste characteristics, and combustion characteristics can be obtained. The characteristic weights of the aroma characteristics, smoke characteristics, aftertaste characteristics, and combustion characteristics of tobacco leaves can be set at 10%, 15%, 20%, and 55%, respectively. The total weighted score is calculated based on the score in each subset and the corresponding characteristic weight, denoted as S, and the upper limit effect measurement method is used for calculation, as shown in formula (2): (2) In the formula, S i is the total weighted score, S max The maximum value of the weighted score.

[0029] In some embodiments of the present invention, step S203 includes: Based on the fuzzy mathematics membership function method, each physical index in the tobacco leaf quality detection index of physical characteristics is calculated to obtain the physical membership corresponding to each index; The physical membership of each physical indicator is calculated based on the entropy weight method to obtain the corresponding physical indicator weight; According to the physical membership degree and physical index weight of each physical index, the physical property index is obtained.

[0030] In a specific embodiment of the present invention, each physical index in the tobacco leaf quality detection index of physical properties may include peak tension, thickness, leaf length, leaf width, stem content, etc. Then, the physical membership of each index may be calculated by using a fuzzy mathematical membership function method. Generally, there are two types of functions, namely, S-type and reverse S-type, which are expressed as shown in formulas (3) and (4): S-type membership function: (3) Inverse S-type membership function: (4) In the formula, x Indicates the measured value of physical property index, x 1 、x 2 、x 3 、x 4 They are the lower critical value, the lower limit of the optimal value, the upper limit of the optimal value, and the upper critical value of the indicator respectively. Combining the research results and expert opinions, the membership function types and turning point values ​​of each indicator of the physical characteristics of the wrapper tobacco leaf are shown in Table 3: Table 3. Membership functions and turning point values ​​of various indicators of physical properties of wrapper tobacco leaves

[0033] The entropy weight method is used to calculate the weights of various indicators of tobacco leaf physical properties. The relevant calculations are shown in formulas (5)-(7): (5) (6) (7) In the formula, Z ij For the i Sample No. j The value corresponding to the indicator, n is the number of evaluation indicators, m is the number of samples to be evaluated, P ij For the j Under the indicator i The proportion of soil samples in this index is E j For the j The information entropy of the indicator, W j For the j The weights of the physical indicators of each indicator are calculated and shown in Table 4: Table 4. Weights of physical properties and chemical composition of wrapper tobacco leaves

[0034] Then the physical property index (PPI) is calculated according to formula (8): (8) In the formula, F j Physical properties of tobacco leaves j The physical membership value of an indicator, W j is the corresponding physical indicator weight.

[0035] Furthermore, the chemical component tobacco quality detection index is processed based on the fuzzy mathematics membership function method and the entropy weight method to obtain the chemical component availability index. Specifically, the chemical indicators in the chemical component tobacco quality detection index can include total sugar, nicotine, chlorine, reducing sugar, total nitrogen, potassium, two sugar ratio, potassium-chlorine ratio, nitrogen-alkali ratio, etc. The fuzzy mathematics membership function method is used to calculate the chemical membership of each indicator of tobacco chemical composition. Generally, there are three types of functions: P type, S type, and reverse S type. The expression is shown in formulas (9)-(11): P-type membership function: (9) S-type membership function: (10) Inverse S-type membership function: (11) In the formula, x is the measured value of chemical composition index, x 1 , x 2 , x 3 , x 4 They are the lower critical value, the lower limit of the optimal value, the upper limit of the optimal value, and the upper critical value of the indicator respectively. The type of membership function and the turning point value of each evaluation indicator of tobacco chemical composition are determined by referring to relevant literature, as shown in Table 5 below: Table 5. Membership functions and turning point values ​​of each index of chemical composition of wrapper tobacco leaves

[0039] The entropy weight method was used to calculate the weights of the chemical components of tobacco leaves. The calculation formula was the same as the above physical properties (3). The calculated weight values ​​are shown in Table 6 below: Table 6. Weights of physical properties and chemical composition of wrapper tobacco leaves

[0040] Then the chemical composition availability index (CCUI) is calculated according to formula (12), as shown in formula (12): (12) In some embodiments of the present invention, the index weights include appearance quality index weights, sensory quality index weights, physical property index weights and chemical composition index weights corresponding to appearance quality, sensory quality physical properties and learned components; step S103 includes: According to the appearance quality index weight and the appearance quality index, the appearance quality score is obtained; According to the sensory quality index weights and sensory quality index, the sensory quality score is obtained; According to the physical property indicator weight and the physical property index, the physical property score is obtained; According to the chemical component index weight and the chemical component availability index, the chemical component availability score is obtained; The comprehensive quality index of tobacco leaves was obtained based on the appearance quality score, sensory quality score, physical property score and chemical component availability score.

[0041] In a specific embodiment of the present invention, the weights of the indicators of appearance quality, physical properties, chemical composition, and sensory quality can be 50%, 25%, 25%, and 10%, respectively. The specific weights can be set according to actual conditions. The present invention does not limit the assignment of weights. The appearance quality score can be obtained according to the appearance quality indicator weight and the appearance quality index. For example, the appearance quality indicator weight×the appearance quality index (AQI)=the appearance quality score. The sensory quality score can be obtained according to the sensory quality indicator weight and the sensory quality index. For example, the sensory quality indicator weight×the sensory quality index (SQI)=the sensory quality score. The physical property score can be obtained according to the physical property indicator weight and the physical property index. For example, the physical property indicator weight×the physical property index (PPI)=the physical property score. The chemical component availability score can be obtained according to the chemical component indicator weight and the chemical component availability index. For example, the chemical component indicator weight×the chemical component availability index (CCUI)=the chemical component availability score. Then, the appearance quality score, the sensory quality score, the physical property score, and the chemical component availability score are calculated to obtain the tobacco leaf comprehensive quality index CEI. The tobacco leaf comprehensive quality index CEI can also be calculated by formula (13). Formula (13) is as follows: CEI=0.50×AQI+0.25×PPI+0.15×CCUI+0.10×SQI (13) In some embodiments of the present invention, step S104 includes: Set multiple tobacco leaf quality grades and score ranges for each tobacco leaf quality grade; Based on the comprehensive quality index and score range of tobacco leaves, the comprehensive quality evaluation grade of the wrapper tobacco leaf samples is determined.

[0042] In a specific embodiment of the present invention, the tobacco leaf quality is divided into five tobacco leaf quality grades based on the 20% quantile (0.50), 40% quantile (0.58), 60% quantile (0.63), and 80% quantile (0.72) of the tobacco leaf comprehensive quality index, namely, the score interval of grade I (CEI≥80% quantile), the score interval of grade II (60% quantile≤CEI<80% quantile), the score interval of grade III (40% quantile≤CEI<60% quantile), the score interval of grade IV (20% quantile≤CEI<40% quantile), and the score interval of grade V (CEI<20% quantile), which correspond to the excellent, excellent, good, medium, and low quality levels of the root tobacco leaves, respectively. As shown in Table 7: Table 7. Comprehensive quality grading standards for wrapper tobacco leaves

[0043] The calculated tobacco leaf comprehensive quality index can then be entered into Table 6 to determine the comprehensive quality evaluation grade of the wrapper tobacco leaf sample.

[0044] The embodiment of the present invention is helpful to comprehensively evaluate the overall quality of cigar wrapper tobacco. Existing standards may be applicable to a single aspect of appearance quality, physical properties or chemical properties. The evaluation method of the embodiment of the present invention is more practical and comprehensive, which is conducive to better controlling the quality of cigar wrapper tobacco and ensuring that it meets higher standards and requirements. It is of great significance to solve the quality problem of cigar tobacco raw materials.

[0045] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0046] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0047] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0048] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code or process data stored in the memory 402, such as the comprehensive evaluation method for wrapper tobacco quality in the present invention.

[0049] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information of the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0050] In some embodiments of the present invention, when the processor 401 executes the wrapper tobacco leaf quality comprehensive evaluation program in the memory 402, the following steps may be implemented: Obtain wrapper tobacco leaf samples, test all wrapper characteristic indicators of the wrapper tobacco leaf samples, obtain corresponding tobacco leaf quality detection indicators, and set indicator weights for each wrapper characteristic indicator; According to the tobacco leaf quality detection index, the index of each characteristic index of the wrapper is obtained; According to the index weight and index index, the comprehensive quality index of tobacco leaves is obtained; According to the comprehensive quality index of tobacco leaves, the comprehensive quality evaluation grade of the wrapper tobacco leaf samples is determined.

[0051] It should be understood that: when the processor 401 executes the wrapper tobacco leaf quality comprehensive evaluation program in the memory 402, in addition to the above functions, other functions can also be realized. For details, please refer to the description of the corresponding method embodiment above.

[0052] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0053] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the comprehensive evaluation method for the quality of cigar wrapper and tobacco leaves provided in the above-mentioned method embodiments can be implemented.

[0054] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0055] The above is a detailed introduction to the method for comprehensive evaluation of wrapper tobacco quality, electronic device and storage medium provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A comprehensive evaluation method for wrapper tobacco leaf quality, characterized in that: include: Obtaining a wrapper tobacco leaf sample, and testing all wrapper characteristic indicators of the wrapper tobacco leaf sample to obtain corresponding tobacco leaf quality detection indicators, and setting an indicator weight for each wrapper characteristic indicator; According to the tobacco leaf quality detection index, an index of each tobacco wrapper characteristic index is obtained; Obtaining a comprehensive tobacco leaf quality index according to the indicator weight and the indicator index; The comprehensive quality evaluation grade of the wrapper tobacco leaf sample is determined according to the comprehensive tobacco leaf quality index.

2. The method for comprehensive evaluation of wrapper tobacco quality according to claim 1, characterized in that: The characteristic indicators of all cigar wrappers include appearance quality, physical properties, chemical composition and sensory quality; the indicator index includes appearance quality index, appearance quality index, physical property index and chemical component availability index; the indicator index of each cigar wrapper characteristic indicator is obtained according to the tobacco leaf quality detection index, including: Processing the tobacco leaf quality detection index of the appearance quality based on a normalization method to obtain an appearance quality index; The sensory quality tobacco leaf quality detection index is processed based on the upper limit effect measurement method to obtain a sensory quality index; Based on the fuzzy mathematics membership function method and the entropy weight method, the tobacco leaf quality detection indicators of the physical properties and the chemical components are processed respectively to obtain the physical property index and the chemical component availability index.

3. The comprehensive evaluation method for wrapper tobacco quality according to claim 2, characterized in that: The index weights include the appearance quality index weights, sensory quality index weights, physical property index weights and chemical composition index weights corresponding to the appearance quality, the sensory quality, the physical property and the chemical composition; the comprehensive tobacco quality index is obtained according to the index weights and the index index, including: Obtaining an appearance quality score according to the appearance quality indicator weight and the appearance quality index; Obtaining a sensory quality score according to the sensory quality indicator weight and the sensory quality index; Obtaining a physical property score according to the physical property indicator weight and the physical property index; Obtaining a chemical component availability score according to the chemical component indicator weight and the chemical component availability index; A comprehensive tobacco leaf quality index is obtained based on the appearance quality score, the sensory quality score, the physical property score and the chemical component availability score.

4. The comprehensive evaluation method for wrapper tobacco quality according to claim 1, characterized in that: Determining the comprehensive quality evaluation grade of the wrapper tobacco sample according to the comprehensive tobacco quality index includes: Set multiple tobacco leaf quality grades and score ranges for each tobacco leaf quality grade; The comprehensive quality evaluation grade of the wrapper tobacco leaf sample is determined according to the comprehensive tobacco leaf quality index and the score range.

5. The method for comprehensive evaluation of wrapper tobacco quality according to claim 2, characterized in that: The normalization method is used to process the tobacco leaf quality detection index of the appearance quality to obtain the appearance quality index, including: Scoring the tobacco leaf quality detection index according to the appearance quality to obtain an appearance quality detection scoring data set; The data in the appearance quality detection scoring data set are calculated based on the normalization method to obtain an appearance quality index.

6. The method for comprehensive evaluation of wrapper tobacco quality according to claim 2, characterized in that: The sensory quality tobacco leaf quality detection index is processed based on the upper limit effect measurement method to obtain a sensory quality index, including: Scoring the tobacco leaf quality detection index according to the sensory quality to obtain a sensory quality detection score data set; Classifying the data in the sensory quality detection and scoring data set to obtain multiple subsets, and setting a characteristic weight for each subset; According to the scores in each subset and the weights of the characteristics, a total weighted score is obtained; The total weighted scores of the plurality of subsets are calculated based on the upper limit effect measurement method to obtain a sensory quality index.

7. The method for comprehensive evaluation of wrapper tobacco quality according to claim 2, characterized in that: The physical property index is obtained by processing the tobacco leaf quality detection index of the physical property based on the fuzzy mathematics membership function method and the entropy weight method, including: Calculating each physical index in the tobacco leaf quality detection index of the physical property based on the fuzzy mathematics membership function method to obtain the physical membership corresponding to each index; Calculating the physical membership of each physical indicator based on the entropy weight method to obtain the corresponding physical indicator weight; A physical property index is obtained according to the physical membership degree of each physical indicator and the physical indicator weight.

8. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the method for comprehensive evaluation of wrapper tobacco quality as described in any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for comprehensive evaluation of wrapper tobacco quality according to any one of claims 1 to 7 are implemented.

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