Threshed and redried strip homogenization evaluation method, system, equipment and medium

Abstract

The invention belongs to the technical field of tobacco production processes, and provides a threshing and redrying strip homogenization evaluation method, system, equipment and medium, and the method comprises the following steps: obtaining strip color data and size distribution data; based on color data clustering analysis, counting a color category proportion according to a clustering analysis result, and quantifying a color homogenization degree through color entropy; based on the size distribution data, fitting a shape parameter of the tobacco lamina size distribution function as a uniformity coefficient, and quantifying a size homogenization degree through the uniformity coefficient; based on the standardization result of the color entropy and the uniformity coefficient, combining the color homogenization degree and the size homogenization degree, calculating the comprehensive homogenization degree of the tobacco lamina according to equal weight weighting, and completing the homogenization evaluation of the threshed and redried tobacco lamina based on the comprehensive homogenization degree. The homogenization evaluation is performed according to the appearance characteristics of the color and size distribution of the tobacco lamina, the accuracy is high, the complexity is low, and the operation is simple and convenient.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tobacco production process, in particular to a kind of threshing and redrying tobacco sheet homogenization evaluation method, system, equipment and medium. BACKGROUND

[0002] Tobacco sheet homogenization is one of the important indicators of threshing and redrying processing quality. At present, various tobacco factories have a variety of threshing and redrying tobacco sheet homogenization evaluation methods. For example, the patent with publication number CN115931738B discloses a method and evaluation system for evaluating the quality stability of finished tobacco sheet, which includes the following steps: establishing a three-dimensional homogenization comprehensive evaluation function model, the three dimensions refer to color, chemical composition and spectrum; obtaining the nicotine value, sugar-alkali ratio value, color value and spectrum value of the tobacco sample to be evaluated, and inputting the three-dimensional homogenization comprehensive evaluation function model to obtain the homogenization evaluation comprehensive value, which represents the quality stability of the finished tobacco sheet made from the tobacco sample to be evaluated. However, the above evaluation method needs to process multi-dimensional data, and uses genetic algorithm, which has high time complexity and complex model establishment stage.

[0003] For example, the patent with publication number CN107589079B discloses a method for evaluating the mixing uniformity of threshing and redrying tobacco sheet based on tobacco color inspection, which includes five steps of tobacco sheet sampling, sample screening, sheet spreading, tobacco color inspection and calculating mixing uniformity coefficient. However, this method mainly relies on the single index of tobacco color to evaluate the mixing uniformity, and only performs color inspection and calculates the mixing uniformity coefficient after sample screening and sheet spreading. Although this method is simple to operate, it only evaluates the uniformity from the color perspective and ignores the influence of other important appearance characteristics such as tobacco sheet size on homogenization; and color is easily affected by external conditions such as environmental light and observation angle, resulting in large fluctuations in test results; the degree of color homogenization is generally high in modern redrying process, and it is difficult to effectively distinguish the subtle differences in mixing quality only by color. SUMMARY

[0004] In view of the deficiencies in the prior art, the present application provides a threshing and redrying tobacco sheet homogenization evaluation method, system, equipment and medium, which evaluates homogenization based on the appearance characteristics of tobacco sheet color and tobacco sheet size distribution, has high accuracy and low complexity, and is simple to operate.

[0005] To achieve the above-mentioned purpose, the following technical solutions are adopted in the present application:

[0006] The first aspect of the present application provides a threshing and redrying tobacco sheet homogenization evaluation method, which includes the following steps:

[0007] In step S100, color data and size distribution data of the strip tobacco are acquired, wherein the color data is Lab value, and the size distribution data is cumulative area percentage in different intervals;

[0008] In step S200, based on the color data clustering analysis, the color category proportion is calculated according to the clustering analysis result, and the color homogenization degree is quantified by color entropy.

[0009] In step S300, based on the size distribution data, the shape parameter of the strip tobacco size distribution function is fitted as a uniformity coefficient, and the size homogenization degree is quantified by the uniformity coefficient.

[0010] In step S400, based on the standardization results of the color entropy and the uniformity coefficient, the color homogenization degree and the size homogenization degree are combined, the comprehensive homogenization degree of the strip tobacco is calculated by equal-weight weighting, and the homogenization evaluation of the strip tobacco in the threshing and redrying process is completed based on the comprehensive homogenization degree.

[0011] Further, step S200 further includes: performing clustering analysis on the color data to divide the strip tobacco color into multiple classification groups, calculating the proportion of the number of strip tobacco in each color classification group in the total number of strip tobacco, and calculating the color entropy, and the calculation method includes:

[0012] (Formula 1),

[0013] In formula 1, h represents color entropy, n represents the number of color classification groups, and Pi represents the proportion of the i-th color strip tobacco in the total number of strip tobacco.

[0014] Further, step S300 further includes: substituting the size distribution data into the strip tobacco size distribution function, and determining the uniformity coefficient by nonlinear fitting, wherein the strip tobacco size distribution function satisfies the following formula 2:

[0015] (Formula 2),

[0016] In formula 2, F (X) represents the cumulative area percentage in different intervals, X represents the area interval limit, a represents the parameter, and b represents the uniformity coefficient.

[0017] Further, the color entropy is positively correlated with the color homogenization degree, and the uniformity coefficient is positively correlated with the size homogenization degree.

[0018] Further, step S400 further includes: standardizing the color entropy and the uniformity coefficient to obtain the color distribution homogenization score H and the size distribution homogenization score B of the strip tobacco, wherein the color distribution homogenization score H satisfies the following relationship formula 3, and the size distribution homogenization score B satisfies the following relationship formula 4:

[0019] (Relationship 3);

[0020] (Relation 4).

[0021] Further, in step S400, the overall homogenization degree of the tobacco leaf is calculated by weighting the color homogenization degree and the size homogenization degree with equal weights, including:

[0022] (Formula 5),

[0023] In Formula 5, U represents the overall homogenization degree, Wb represents the color homogenization degree, Wc represents the size homogenization degree, H represents the color distribution homogenization score, and B represents the size distribution homogenization score.

[0024] A second aspect of the present invention provides a homogenization evaluation system for re-dried tobacco leaves, comprising:

[0025] The acquisition module is used to acquire smoke color data and size distribution data, where the color data is Lab value and the size distribution data is the cumulative area percentage of different intervals;

[0026] The color homogenization degree quantification module is used for color data cluster analysis, to count the proportion of color categories based on the cluster analysis results, and to quantify the degree of color homogenization through color entropy;

[0027] The size homogenization degree quantification module is used to fit the shape parameter of the tobacco size distribution function based on the size distribution data as a uniformity coefficient, and to quantify the size homogenization degree through the uniformity coefficient;

[0028] The evaluation module is used to calculate the overall homogenization degree of tobacco leaves based on the standardized results of color entropy and uniformity coefficient, combined with the degree of color homogenization and size homogenization, and to complete the homogenization evaluation of the re-dried tobacco leaves based on the overall homogenization degree.

[0029] Furthermore, the evaluation module also includes a homogenization score processing module, which is used to standardize the color entropy and uniformity coefficient to obtain the color distribution homogenization score and size distribution homogenization score of the tobacco.

[0030] A third aspect of the present invention provides a computer-readable storage medium having computer-readable instructions stored thereon, which, when executed by a computer processor, cause the computer to perform the above-described method for homogenizing and evaluating the quality of re-dried tobacco leaves.

[0031] A fourth aspect of the present invention provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for homogenizing and evaluating the quality of re-dried tobacco leaves.

[0032] The beneficial technical effects of this invention are as follows:

[0033] This invention integrates two major appearance features: the color and size distribution of tobacco leaves, overcoming the limitations of traditional single-index evaluation and more comprehensively reflecting the homogenization degree of re-dried tobacco leaves. Furthermore, it is more direct and simpler than conventional chemical composition evaluation, with lower complexity and easier operation.

[0034] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0035] The accompanying drawings, incorporated in and forming part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without inventive effort. In the drawings:

[0036] Figure 1 Flowchart of the homogenization evaluation method for re-dried tobacco leaves in this application;

[0037] Figure 2 This is a framework diagram of the evaluation system for homogenization of re-dried tobacco leaves for this application;

[0038] Figure 3 A schematic diagram of the structure of a computer system suitable for an embodiment of this application is shown. Detailed Implementation

[0039] Unless otherwise defined, all technical and / or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should be understood that certain features of the invention (described in the context of separate embodiments for clarity) may also be provided in a single embodiment. Conversely, multiple features of the invention (described in the context of a single embodiment for brevity) may also be provided separately or in any suitable combination or, where appropriate, in any other described embodiment of the invention. Certain features described in the context of various embodiments will not be considered essential features of those embodiments unless the embodiment is inoperable without those elements. The invention is further illustrated below by specific examples; however, it should be noted that the specific process conditions and results described in the embodiments of the invention are merely illustrative and should not be construed as limiting the scope of protection of the invention. All equivalent changes or modifications made in accordance with the spirit and essence of the invention should be covered within the scope of protection of the invention.

[0040] Please see Figure 1 The flowchart of the homogenization evaluation method for re-dried tobacco leaves in this application is detailed below:

[0041] Step S100: Obtain smoke color data and size distribution data, wherein the color data is Lab value and the size distribution data is the cumulative area percentage of different intervals.

[0042] Specifically, this application collects a batch of loosely processed and re-dried tobacco flakes, uses a colorimeter to measure the flakes, and obtains the color data. A flake distribution measurement system is also used to measure the flakes, obtaining the size distribution data. More specifically, the color data in this application is in Lab values, which avoids errors from subjective visual evaluation, ensures data comparability, and is suitable for the tobacco industry's high requirements for color uniformity. The size distribution data in this application is the cumulative area percentage of different intervals, i.e., the lower limit cumulative area percentage, which can intuitively show the concentration and uniformity of the flake size.

[0043] Step S200: Based on color data cluster analysis, the proportion of color categories is statistically analyzed according to the cluster analysis results, and the degree of color homogenization is quantified by color entropy.

[0044] Specifically, this application performs cluster analysis on the color data to divide the tobacco leaf color into multiple categories, calculates the proportion of tobacco leaf quantity in each color category to the total number of tobacco leaf pieces, and calculates the color entropy. The calculation method includes:

[0045] (Formula 1),

[0046] In Formula 1, h represents color entropy, n represents the number of color classification groups, and Pi represents the proportion of the i-th color tobacco in the total number of tobacco pieces.

[0047] More specifically, the cluster analysis in this application can employ algorithms such as K-means. The number of clusters, i.e. the number of color classification groups, can be determined by the elbow rule or the silhouette coefficient, while the Lab value can be standardized in advance to eliminate dimensional differences.

[0048] More specifically, color entropy is positively correlated with the degree of color homogenization. A higher entropy value indicates a more dispersed color distribution (i.e., many color categories with balanced proportions) and greater uncertainty; conversely, a lower entropy value indicates concentrated color distribution (dominated by a few categories) and higher certainty. In color homogenization evaluation, a higher entropy value indicates a more uniform color distribution (approximate proportions of each category) and a higher degree of homogenization; a lower entropy value reflects uneven color distribution (e.g., a certain color category having an excessively high proportion) and a low degree of homogenization. For example, if the proportions of different categories in tobacco smoke clustering are small and the entropy value is high, it indicates good color consistency.

[0049] Step S300: Based on the size distribution data, fit the shape parameter of the tobacco size distribution function as a uniformity coefficient, and quantify the degree of size homogenization through the uniformity coefficient.

[0050] Specifically, the size distribution data is substituted into the tobacco sheet size distribution function, and the uniformity coefficient is determined through nonlinear fitting. The tobacco sheet size distribution function satisfies the following formula 2:

[0051] (Formula 2),

[0052] In Formula 2, F (X) X represents the cumulative area percentage of different intervals, X represents the area interval limit, a represents the parameter, and b represents the uniformity coefficient.

[0053] More specifically, the uniformity coefficient is positively correlated with the degree of size homogenization. The uniformity coefficient of this application is an indicator describing the concentration of tobacco sheet size distribution. A larger b value indicates that the tobacco sheet size distribution is more concentrated within a certain range, i.e., the smaller the size difference. The degree of size homogenization refers to the uniformity of tobacco sheet size, quantified by the uniformity coefficient; the closer the value is to 1, the higher the degree of homogenization. When the uniformity coefficient b increases, the size distribution function curve is steeper, indicating that most of the tobacco sheet area is concentrated in a narrower range, with small size differences and a high degree of size homogenization; conversely, a small b value indicates a dispersed distribution and a low degree of size homogenization.

[0054] Step S400: Based on the standardized results of color entropy and uniformity coefficient, and combined with the degree of color homogenization and size homogenization, calculate the comprehensive homogenization degree of the tobacco leaves by weighting them equally, and complete the homogenization evaluation of the re-dried tobacco leaves based on the comprehensive homogenization degree.

[0055] Specifically, this application determines the importance of the color and size distribution of tobacco flakes in measuring the degree of homogenization. According to the principle that the degree of color homogenization Wb and the degree of size homogenization Wc are equally important, their weights are set to 0.5 each, i.e., 1:1.

[0056] More specifically, this application standardizes the color entropy and uniformity coefficient to obtain the color distribution homogenization score H and the size distribution homogenization score B of the tobacco sheet. The color distribution homogenization score H satisfies the following relationship 3, and the size distribution homogenization score B satisfies the following relationship 4:

[0057] (Relationship 3);

[0058] (Relation 4).

[0059] More specifically, the overall homogenization degree of tobacco sheets is calculated by combining the degree of color homogenization and the degree of size homogenization, using equal weights:

[0060] (Formula 5),

[0061] In Formula 5, U represents the overall homogenization degree, Wb represents the color homogenization degree, Wc represents the size homogenization degree, H represents the color distribution homogenization score, and B represents the size distribution homogenization score.

[0062] More specifically, in this application, H and B range from 0 to 1, with the closer to 1, the higher the homogenization score. The standardization of color entropy and uniformity coefficient in this application can eliminate bias by making them dimensionless, and when the overall homogenization level is low, the individual contributions of H and B can be analyzed for targeted modification.

[0063] More specifically, the method of this application can solve the problem that the current evaluation index for the homogenization of tobacco re-drying relies too much on chemical components. This application uses a method for homogenization evaluation based on the appearance characteristics of tobacco leaf color and size distribution, and also provides a certain technical basis for promoting the improvement of re-drying processing technology.

[0064] Please see Figure 2 The framework diagram of the homogenization evaluation system for re-dried tobacco leaves in this application is shown below, including:

[0065] The acquisition module 210 is used to acquire smoke color data and size distribution data, wherein the color data is Lab value and the size distribution data is the cumulative area percentage of different intervals;

[0066] The color homogenization degree quantification module 220 is used for color data cluster analysis, to count the proportion of color categories based on the cluster analysis results, and to quantify the color homogenization degree through color entropy.

[0067] The size homogenization degree quantification module 230 is used to fit the shape parameter of the tobacco size distribution function based on the size distribution data as a uniformity coefficient, and to quantify the size homogenization degree through the uniformity coefficient.

[0068] Evaluation module 240 is used to calculate the overall homogenization degree of tobacco leaves based on the standardized results of color entropy and uniformity coefficient, combined with the degree of color homogenization and size homogenization, and to complete the homogenization evaluation of the re-dried tobacco leaves based on the overall homogenization degree.

[0069] Furthermore, the evaluation module also includes a homogenization score processing module, which is used to standardize the color entropy and uniformity coefficient to obtain the color distribution homogenization score and size distribution homogenization score of the tobacco.

[0070] The present invention will be described in detail below through specific examples and embodiments. It should also be understood that the following embodiments are only for specific illustration of the present invention and should not be construed as limiting the scope of protection of the present invention. Any non-essential improvements and adjustments made by those skilled in the art based on the above description of the present invention are within the scope of protection of the present invention. The specific process parameters, etc., in the following examples are merely examples within a suitable range; that is, those skilled in the art can make appropriate selections within the appropriate range based on the description herein, and are not intended to be limited to the specific values ​​in the examples below.

[0071] Example 1

[0072] 1) Data Acquisition: A batch of loosely packed, re-dried tobacco flakes was collected. A colorimeter was used to measure the tobacco flakes, obtaining the color data, i.e., the Lab value. A tobacco flake distribution measurement system was used to measure the tobacco flakes, obtaining the size distribution data, i.e., the cumulative area percentage F in different intervals. (X) .

[0073] 2) Assigning values: Perform cluster analysis on the obtained Lab values ​​of the tobacco slices. Based on the clustering results, determine the color classification groups, dividing the colors into light yellow, orange-yellow, dark yellow, and brownish-yellow, and representing them as PA, PB, PC, and PD respectively, for a total of 4 categories. Calculate the proportion of tobacco slices in each category, denoted as Pi. Calculate the color entropy h using formula 1:

[0074] (Formula 1),

[0075] In Formula 1, h represents color entropy, n represents the number of color classification groups, and Pi represents the proportion of the i-th color tobacco in the total number of tobacco pieces.

[0076] The proportions and color entropies of different categories are shown in Table 1 below:

[0077] Table 1. Percentage of different categories and color entropy

[0078]

[0079] As shown in Table 1, the color entropy h is 0.7328, which represents the degree of color homogenization.

[0080] Substituting the size distribution data into the tobacco sheet size distribution function, the uniformity coefficient is determined through nonlinear fitting. The tobacco sheet size distribution function satisfies the following formula 2:

[0081] (Formula 2),

[0082] In Formula 2, F (X) X represents the cumulative area percentage of different intervals, X represents the area interval limit, a represents the parameter, and b represents the uniformity coefficient.

[0083] The proportions corresponding to the lower limits of different area ranges are shown in Table 2 below:

[0084] Table 2. Proportions corresponding to the lower limits of different area ranges

[0085]

[0086] Based on Table 2 and Formula 2, the uniformity coefficient b is calculated to be 0.95, representing the degree of homogenization in size.

[0087] 3) Determine the weights: Determine the importance of the color and size distribution of the tobacco in measuring the degree of homogenization. According to the principle that the degree of color homogenization Wb and the degree of size homogenization Wc are equally important, set their weights to 0.5 each, i.e., 1:1.

[0088] 4) Calculate the color homogenization score and size homogenization score: The larger the color entropy and the larger the uniformity coefficient, the higher the degree of homogenization. Standardize both the color entropy and the uniformity coefficient to obtain the color distribution homogenization score H and the size distribution homogenization score B, where H is 0.7328 and B is 0.95.

[0089] 5) Comprehensive evaluation of homogenization degree: Combining the homogenization degree of color and size, the overall homogenization degree of the cigarette sheet is calculated using equal weighting.

[0090] (Formula 5),

[0091] In Formula 5, U represents the overall homogenization degree, Wb represents the color homogenization degree, Wc represents the size homogenization degree, H represents the color distribution homogenization score, and B represents the size distribution homogenization score.

[0092] According to Formula 5, the overall homogenization degree U is calculated to be 0.8414, which shows that this method can reflect the homogenization degree of re-dried tobacco leaves based on the appearance characteristics of the tobacco leaves.

[0093] It should be noted that the homogenization evaluation system for threshed and re-dried tobacco provided in the above embodiments and the homogenization evaluation method for threshed and re-dried tobacco provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the homogenization evaluation system for threshed and re-dried tobacco provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0094] Embodiments of this application also provide a computer device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the computer device to implement the homogenization evaluation method for re-dried tobacco leaves provided in the above embodiments.

[0095] Figure 3 A schematic diagram of the structure of a computer system suitable for an embodiment of this application is shown. It should be noted that... Figure 3 The computer system 300 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0096] like Figure 3 As shown, the computer system 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage section 308 into a random access memory (RAM) 303, such as performing the methods described in the above embodiments. Various programs and data required for system operation are also stored in the RAM 303. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304. The following components are connected to the I / O interface 305: an input section 306 including a keyboard, mouse, etc.; an output section 307 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (local area network) card, modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A driver 310 is also connected to the I / O interface 305 as needed. Removable media 311, such as disks, optical discs, magneto-optical discs, semiconductor memories, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0097] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer tool programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs various functions defined in the system of this application.

[0098] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, flash memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. Computer programs contained on computer-readable media can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0099] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0100] The units described in the embodiments of this application can be implemented by tools or by hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the unit itself.

[0101] Another aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a computer's processor, causes the computer to perform the homogenization evaluation method for re-dried tobacco leaves as described above. This computer-readable storage medium may be included in the computer device described in the above embodiments, or it may exist independently and not incorporated into the computer device.

[0102] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the homogenization evaluation method for re-dried tobacco leaves provided in the various embodiments described above.

[0103] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for homogenizing and evaluating the quality of re-dried tobacco leaves, characterized in that, Includes the following steps: Step S100: Obtain smoke color data and size distribution data, wherein the color data is Lab value and the size distribution data is the cumulative area percentage of different intervals; Step S200: Based on the color data cluster analysis, the proportion of color categories is statistically analyzed according to the cluster analysis results, and the degree of color homogenization is quantified by color entropy; Step S300: Based on the size distribution data, fit the shape parameter of the tobacco leaf size distribution function as a uniformity coefficient, and quantify the degree of size homogenization through the uniformity coefficient; Step S400: Based on the standardized results of the color entropy and the uniformity coefficient, and combining the degree of color homogenization and the degree of size homogenization, calculate the comprehensive homogenization degree of the tobacco leaves with equal weights, and complete the homogenization evaluation of the re-dried tobacco leaves based on the comprehensive homogenization degree.

2. The method according to claim 1, characterized in that, Step S200 further includes: performing cluster analysis on the color data to divide the tobacco color into multiple categories, calculating the proportion of tobacco in each color category to the total number of tobacco, and calculating the color entropy. The calculation method includes: (Formula 1), In Formula 1, h represents color entropy, n represents the number of color classification groups, and Pi represents the proportion of the i-th color tobacco in the total number of tobacco pieces.

3. The method according to claim 2, characterized in that, Step S300 further includes: substituting the size distribution data into the tobacco leaf size distribution function, and determining the uniformity coefficient through nonlinear fitting, wherein the tobacco leaf size distribution function satisfies the following formula 2: (Formula 2) In Formula 2, F (X) X represents the cumulative area percentage of the different intervals, a represents the area interval limit, b represents the parameter, and b represents the uniformity coefficient.

4. The method according to claim 3, characterized in that, The color entropy is positively correlated with the degree of color homogenization, and the uniformity coefficient is positively correlated with the degree of size homogenization.

5. The method according to claim 4, characterized in that, Step S400 further includes: standardizing the color entropy and the uniformity coefficient to obtain the color distribution homogenization score H and the size distribution homogenization score B of the tobacco leaf, wherein the color distribution homogenization score H satisfies the following relationship 3 and the size distribution homogenization score B satisfies the following relationship 4: (Relationship 3); (Relation 4).

6. The method according to claim 5, characterized in that, In step S400, the overall homogenization degree of the tobacco leaf is calculated by combining the degree of color homogenization and the degree of size homogenization with equal weights, including: (Formula 5) In Formula 5, U represents the overall homogenization degree, Wb represents the color homogenization degree, Wc represents the size homogenization degree, H represents the color distribution homogenization score, and B represents the size distribution homogenization score.

7. A homogenization evaluation system for re-dried tobacco leaves, characterized in that, include: The acquisition module is used to acquire smoke color data and size distribution data, wherein the color data is Lab value and the size distribution data is cumulative area percentage of different intervals; The color homogenization degree quantification module is used to perform cluster analysis based on the color data, statistically analyze the proportion of color categories based on the cluster analysis results, and quantify the color homogenization degree through color entropy. The size homogenization degree quantification module is used to fit the shape parameter of the tobacco size distribution function based on the size distribution data as a uniformity coefficient, and to quantify the size homogenization degree through the uniformity coefficient; The evaluation module is used to calculate the overall homogenization degree of tobacco leaves based on the standardized results of the color entropy and the uniformity coefficient, combined with the degree of color homogenization and the degree of size homogenization, and to complete the homogenization evaluation of the re-dried tobacco leaves based on the overall homogenization degree.

8. The system according to claim 7, characterized in that, The evaluation module also includes a homogenization score processing module, which is used to standardize the color entropy and the uniformity coefficient to obtain the color distribution homogenization score and the size distribution homogenization score of the tobacco.

9. A computer-readable storage medium, characterized in that, It stores computer-readable instructions, which, when executed by the computer's processor, cause the computer to perform the homogenization evaluation method for re-dried tobacco leaves as described in any one of claims 1 to 6.

10. A computer device, comprising: The memory, the processor, and the computer program stored in the memory and executable on the processor are characterized in that, when the processor executes the computer program, it implements the steps of the homogenization evaluation method for re-dried tobacco leaves as described in any one of claims 1 to 6.

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