Method for reprocessing tobacco lamina and classifying and matching tobacco lamina according to colors
By performing multi-stage screening and shearing of the cigarette after leaf injection, and then classifying the dark and light colors according to the color recognition results, the problem of intricate color distinction in the prior art is solved, and the quality of the cigarette and the utilization efficiency of the tobacco leaves are improved.
Patent Information
- Application Number
- CN202510517378.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-23
- Publication Date
- 2025-06-06
AI Technical Summary
The existing leaf-beating and re-baking technology is difficult to effectively distinguish and process cigarettes of different colors, resulting in uneven quality of cigarettes of the same size, affecting the product quality and production efficiency of the cigarette industry.
The mixed sheet cigarette material after the leaf is processed through a two-stage roller screen and a two-stage shearing process, and then through a three-stage flat screen, it is processed into a smaller sheet type with multiple size ranges. Then, according to the color recognition results, the cigarettes in each size range are classified into two categories: dark cigarettes and light cigarettes.
It achieves a more detailed color distinction between the cigarette, improves the chemical composition coordination and sensory quality of the cigarette, can be used in higher-grade formulas, and improves the utilization efficiency of tobacco leaf raw materials.
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Figure CN120093003A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of leaf threshing and re-baking, and more specifically, to a method for reprocessing tobacco leaves and classifying and assembling them by color. Background Art
[0002] In the tobacco industry chain, leaf threshing and redrying is an important link between tobacco leaf planting and cigarette production. It is the basis of cigarette silk production. Specifically, it refers to the tobacco leaf and stem separation and redrying to obtain a certain sheet structure of cigarette processing technology. The sheet structure refers to the proportion of leaves of different sizes after threshing, which is an important indicator for evaluating the quality of leaf tobacco and measuring the quality of leaf threshing and redrying. At present, the threshed leaf tobacco is generally classified into 6 categories according to the size of >42mm×42mm (super large pieces), >25.4mm×25.4mm (large pieces), >12.7mm×12.7mm (medium pieces), >6.35mm×6.35mm (small pieces), >2.36mm×2.36mm (fragments), and <2.36mm×2.36mm (crushed pieces). Existing studies have shown that there are large differences in the intrinsic quality of leaf tobacco of different sizes. Controlling the large piece rate, steadily increasing the medium piece rate, reducing the small piece rate, and increasing the long stem rate to obtain a reasonable leaf structure are the goals pursued by the cigarette industry for leaf tobacco after threshing. Therefore, cutting large and extra-large slices into medium slices can improve the overall quality of the sliced tobacco.
[0003] At the same time, since threshing is to break the whole tobacco leaves into several parts, the color and quality of different parts of the same tobacco leaf are still quite different, that is to say, the quality of tobacco leaves of the same size is still uneven. Color is the external manifestation of the intrinsic quality and physical properties of tobacco leaves. Studies have shown that the color of flue-cured tobacco leaves is significantly correlated with nicotine and total sugar in the chemical composition, and is also significantly correlated with the aroma quality and aroma quantity of sensory evaluation. It can be inferred that the quality of orange tobacco leaves in small pieces may be better than that of lemon tobacco leaves in medium pieces. Therefore, in the process of threshing and re-baking, it is necessary to distinguish tobacco leaves of different colors again, in order to provide a theoretical basis for the adjustment of the formula module of tobacco industry enterprises.
[0004] Therefore, there is a need for a cigarette reprocessing and color classification and assembly method. Summary of the invention
[0005] The object of the present invention is to provide a method for reprocessing and color-classifying cigarette strips to solve the above-mentioned problems in the prior art and to distinguish cigarette strips again based on different colors.
[0006] The present invention provides a method for reprocessing and color-classifying cigarette strips, which comprises:
[0007] The mixed tobacco strips after threshing are subjected to two-stage roller screen screening, two-stage shearing treatment, and then three-stage flat screen screening treatment, so as to process the large-sized tobacco strips into smaller tobacco strips of multiple size ranges;
[0008] Smaller tobacco flakes in a plurality of size ranges are subjected to color recognition processing respectively, so that the tobacco flakes in each size range are classified into two categories of dark-colored tobacco flakes and light-colored tobacco flakes according to the color recognition results.
[0009] The above-mentioned method for reprocessing and color-classifying cigarette strips, wherein preferably, the mixed cigarette strip material includes cigarette strips with a size greater than 42mm×42mm, cigarette strips with a size greater than 25.4mm×25.4, cigarette strips with a size greater than 12.7mm×12.7mm, cigarette strips with a size greater than 6.35mm×6.35mm and cigarette strips with a size greater than 2.36mm×2.36mm,
[0010] The mixed tobacco strips after threshing are subjected to two-stage roller screen screening, two-stage shearing treatment, and then three-stage flat screen screening treatment to process large-sized tobacco strips into smaller tobacco strips of multiple size ranges, specifically including:
[0011] The mixed tobacco strips after leaf beating are screened through two stages of roller screens, processed through two stages of shearing, and then screened through three stages of flat screens, so as to process tobacco strips with sizes larger than 42mm×42mm and sizes larger than 25.4mm×25.4mm into smaller strips with sizes larger than 12.7mm×12.7mm, sizes larger than 6.35mm×6.35mm, sizes larger than 2.36mm×2.36mm, and sizes smaller than 2.36mm×2.36mm.
[0012] The above-mentioned method for reprocessing tobacco strips and classifying and assembling them by color, wherein preferably, the mixed tobacco strips after beating are subjected to two-stage roller screen screening, two-stage shearing treatment and then three-stage flat screen screening treatment, so as to process tobacco strips with a size greater than 42mm×42mm and a size greater than 25.4mm×25.4mm into smaller strips with a size greater than 12.7mm×12.7mm, a size greater than 6.35mm×6.35mm, a size greater than 2.36mm×2.36mm and a size less than 2.36mm×2.36mm, specifically comprising:
[0013] After the threshed mixed tobacco strips are processed by the first-stage roller screen, tobacco strips with a size larger than 42 mm × 42 mm enter the first-stage shearing device located below one side edge of the first-stage roller screen for first-stage flexible shearing processing, and tobacco strips of other sizes and tobacco strips that have passed the first-stage shearing device enter the second-stage roller screen located below the first-stage roller screen;
[0014] After passing through the second-stage roller screen, tobacco sheets with a size larger than 25.4 mm × 25.4 mm enter the second-stage shearing device located below the other side edge of the second-stage roller screen for second-stage flexible shearing treatment, and tobacco sheets with other sizes and tobacco sheets that have passed through the second-stage shearing device enter the third-stage flat screen located below the second-stage roller screen;
[0015] On the three-stage flat screen, the tobacco flakes are screened into smaller flakes having sizes larger than 12.7 mm×12.7 mm, sizes larger than 6.35 mm×6.35 mm, sizes larger than 2.36 mm×2.36 mm, and sizes smaller than 2.36 mm×2.36 mm.
[0016] The above-mentioned method for reprocessing and color-classifying cigarette sheets, wherein preferably, the cigarette sheets are screened into smaller sheets with a size greater than 12.7 mm×12.7 mm, a size greater than 6.35 mm×6.35 mm, a size greater than 2.36 mm×2.36 mm, and a size less than 2.36 mm×2.36 mm on the three-stage flat screen, specifically comprising:
[0017] After passing through the first-stage flat screen located below the second-stage roller screen and the second-stage shearing device, tobacco flakes with a size larger than 12.7 mm × 12.7 mm proceed along the first-stage flat screen, and tobacco flakes of other sizes enter the second-stage flat screen located below the first-stage flat screen;
[0018] After passing through the second-stage flat screen, tobacco flakes with a size larger than 6.35 mm × 6.35 mm move along the second-stage flat screen, and tobacco flakes of other sizes enter the third-stage flat screen located below the second-stage flat screen;
[0019] After passing through the third-stage flat screen, tobacco flakes with a size larger than 2.36 mm×2.36 mm advance along the third-stage flat screen, and tobacco flakes with a size smaller than 2.36 mm×2.36 mm are collected below the third-stage flat screen.
[0020] The method for reprocessing and color classification of tobacco sheets as described above, wherein preferably, the tobacco sheets of smaller sizes in a plurality of size intervals are subjected to color recognition processing respectively, so as to classify the tobacco sheets in each size interval into two types of dark-colored tobacco sheets and light-colored tobacco sheets according to the color recognition results, specifically comprises:
[0021] Smaller tobacco sheets with sizes larger than 12.7 mm×12.7 mm, sizes larger than 6.35 mm×6.35 mm, and sizes larger than 2.36 mm×2.36 mm are respectively subjected to color recognition processing, so that the tobacco sheets of each size are classified into two categories, dark tobacco sheets and light tobacco sheets, according to the color recognition results.
[0022] The method for reprocessing and color-classifying cigarette strips as described above, wherein preferably, after color identification and classification, the cigarette strips are divided into 7 categories, namely: dark cigarette strips with a size greater than 12.7mm×12.7mm, light cigarette strips with a size greater than 12.7mm×12.7mm, dark cigarette strips with a size greater than 6.35mm×6.35mm, light cigarette strips with a size greater than 6.35mm×6.35mm, dark cigarette strips with a size greater than 2.36mm×2.36mm, light cigarette strips with a size greater than 2.36mm×2.36mm, and cigarette strips with a size less than 2.36mm×2.36mm.
[0023] The method for reprocessing and color classification of cigarette sheets as described above, wherein preferably, the cigarette sheets with a size larger than 12.7 mm×12.7 mm, a size larger than 6.35 mm×6.35 mm, and a size larger than 2.36 mm×2.36 mm are subjected to color recognition processing respectively, so as to classify the cigarette sheets of each size into two types of dark-colored cigarette sheets and light-colored cigarette sheets according to the color recognition results, specifically comprising:
[0024] The tobacco flakes with a size larger than 12.7 mm×12.7 mm that move along the first-stage flat screen pass through the first color recognition and classification device at the rear end of the first-stage flat screen, and the tobacco flakes with a size larger than 12.7 mm×12.7 mm are classified into two categories: dark-colored flakes and light-colored flakes.
[0025] The tobacco flakes with a size larger than 6.35 mm×6.35 mm that move along the second-stage flat screen pass through the second color recognition and classification device at the rear end of the second-stage flat screen, and the tobacco flakes with a size larger than 6.35 mm×6.35 mm are classified into two categories: dark-colored flakes and light-colored flakes.
[0026] The tobacco flakes with a size larger than 2.36mm×2.36mm that move along the third-stage flat screen pass through the third color recognition and classification device at the rear end of the third-stage flat screen, and the tobacco flakes with a size larger than 2.36mm×2.36mm are classified into two categories: dark-colored flakes and light-colored flakes.
[0027] The method for reprocessing and color-classifying tobacco strips as described above, wherein preferably, the first color recognition and classification device, the second color recognition and classification device and the third color recognition and classification device respectively comprise: a tobacco strip color recognition belt, the tobacco strip color recognition belt comprising a thinning area and a color recognition area arranged in sequence, the color recognition area being provided with a color sensor, the color recognition area located at the rear end of the color identifier dividing the strips into a dark-colored tobacco strip belt and a light-colored tobacco strip belt.
[0028] In the above-mentioned method for reprocessing and assembling tobacco sheets by color classification, it is preferred that the color sensor is connected to a color depth discrimination module, and the color depth discrimination module is connected to a production control system.
[0029] The color sensor is used to collect color parameters of the tobacco leaf, and the color parameters include: lightness L*, redness a* and yellowness b*;
[0030] The color depth discrimination module is used to discriminate the color depth according to the color parameters collected by the color sensor using the color depth DS discrimination model, and to feed back the color depth discrimination result to the production line control system in real time;
[0031] The production line control system is used to transport the tobacco sheets to the corresponding belt according to the color depth discrimination result, and is specifically used for: if the color depth DS discrimination model determines that the color of the tobacco sheets is dark, then the fan corresponding to the dark tobacco sheet belt is started to blow the dark tobacco sheets into the dark tobacco sheet belt; if the color depth DS discrimination model determines that the color of the tobacco sheets is light, then the fan corresponding to the light tobacco sheet belt is started to blow the light tobacco sheets into the light tobacco sheet belt.
[0032] In the above-mentioned method for reprocessing and color classification of tobacco sheets, preferably, the color depth DS discrimination model discriminates the color depth in the following manner:
[0033] Lightness L * , redness a * , yellowness b * As the independent variable, the color depth DS as the dependent variable, construct a multiple linear regression equation:
[0034] DS=0.2214865+0.87598 L * +0.44752 a * +0.52658 b * ;
[0035] Substituting the color parameters collected by the color sensor into the color depth DS discrimination model to obtain a model prediction value;
[0036] According to the interval of the model prediction value, the color depth discrimination result is obtained.
[0037] The color depth discrimination result is obtained according to the interval of the model prediction value, specifically including:
[0038] If the model prediction value is ≥78.5 points, the color of the tobacco piece is judged to be light color;
[0039] If the model prediction value is less than 78.5 points, the tobacco color is judged to be dark.
[0040] The present invention provides a method for reprocessing tobacco strips and classifying and assembling them by color, which comprises the following steps: firstly processing large-sized tobacco strips into smaller tobacco strips of multiple size intervals; then classifying the smaller tobacco strips of each size interval into two types of tobacco strips, dark-colored tobacco strips and light-colored tobacco strips, according to the color recognition result; the tobacco strips can be distinguished again based on different colors; compared with conventional re-roasted finished products, the chemical composition coordination and sensory quality can be improved; after classification and packaging, the tobacco strips can be used for higher-grade formulations, thereby improving the utilization efficiency of tobacco leaf raw materials and having good practical significance. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described below with reference to the accompanying drawings, in which:
[0042] Figure 1 A flow chart of an embodiment of the method for reprocessing and color-classifying and assembling tobacco strips provided by the present invention;
[0043] Figure 2 A schematic diagram of the working principle of an embodiment of the method for reprocessing and assembling tobacco strips by color provided by the present invention;
[0044] Figure 3 It is a schematic diagram of the structures of a first color recognition and classification device, a second color recognition and classification device, and a third color recognition and classification device;
[0045] Figure 4 This is a color depth discrimination chart.
[0046] Explanation of the accompanying drawings: 1-first-stage roller screen, 2-first-stage shearing device, 3-second-stage roller screen, 4-second-stage shearing device, 5-first-stage flat screen, 6-second-stage flat screen, 7-third-stage flat screen, 8-first color recognition and classification device, 9-second color recognition and classification device, 10-third color recognition and classification device, 11-thinning area, 12-color recognition area, 13-dark-color tobacco sheet belt, 14-light-color tobacco sheet belt, 15-first fan, 16-second fan. DETAILED DESCRIPTION
[0047] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the present disclosure and its application or use. The present disclosure can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the present disclosure thorough and complete and to fully express the scope of the present disclosure to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps, the composition of the materials, the numerical expressions and the numerical values set forth in these embodiments should be interpreted as being merely exemplary and not as limiting.
[0048] The words "first", "second" and similar words used in this disclosure do not indicate any order, quantity or importance, but are only used to distinguish different parts. The words "include" or "comprises" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements. "Up", "down" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.
[0049] In the present disclosure, when a specific component is described as being located between a first component and a second component, there may or may not be an intermediate component between the specific component and the first component or the second component. When a specific component is described as being connected to other components, the specific component may be directly connected to the other components without an intermediate component, or may not be directly connected to the other components but have an intermediate component.
[0050] All terms (including technical terms or scientific terms) used in the present disclosure have the same meanings as those understood by ordinary technicians in the field to which the present disclosure belongs, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries, such as general dictionaries, should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined herein.
[0051] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.
[0052] like Figure 1 and Figure 2 As shown, the actual implementation process of the method for reprocessing and grouping cigarette sheets by color provided in this embodiment specifically includes the following steps:
[0053] Step S1, the mixed tobacco strips after beating are subjected to two-stage roller screen screening, two-stage shearing treatment and then three-stage flat screen screening treatment, so as to process the large-sized tobacco strips into smaller tobacco strips of multiple size ranges.
[0054] Among them, the mixed tobacco material includes tobacco sheets with a size greater than 42mm×42mm, tobacco sheets with a size greater than 25.4mm×25.4, tobacco sheets with a size greater than 12.7mm×12.7mm, tobacco sheets with a size greater than 6.35mm×6.35mm and tobacco sheets with a size greater than 2.36mm×2.36mm.
[0055] Specifically, the mixed tobacco sheet material after leaf beating is subjected to two-stage roller screen screening, two-stage shearing treatment and then three-stage flat screen screening treatment, so as to process tobacco sheets with a size greater than 42mm×42mm and a size greater than 25.4mm×25.4mm into smaller sheets with a size greater than 12.7mm×12.7mm, a size greater than 6.35mm×6.35mm, a size greater than 2.36mm×2.36mm and a size less than 2.36mm×2.36mm.
[0056] In one embodiment of the method for reprocessing and color-classifying cigarette strips of the present invention, step S1 may specifically include:
[0057] Step S11, after the beaten mixed tobacco strips are processed by the first-stage roller screen 1, tobacco strips with a size larger than 42 mm × 42 mm enter the first-stage shearing device 2 located below one side edge of the first-stage roller screen 1 for first-stage flexible shearing processing, and tobacco strips of other sizes and tobacco strips that have passed the first-stage shearing device 2 enter the second-stage roller screen 3 located below the first-stage roller screen 1.
[0058] Step S12, after passing through the second-stage roller screen 3, the cigarette sheets with a size larger than 25.4 mm × 25.4 mm enter the second-stage shearing device 4 located below the other side edge of the second-stage roller screen 3 for second-stage flexible shearing processing, and the cigarette sheets of other sizes and the cigarette sheets that have passed through the second-stage shearing device 4 enter the third-stage flat screen located below the second-stage roller screen 3.
[0059] Step S13, on the three-stage flat screen, screen the tobacco flakes into smaller flakes with a size larger than 12.7 mm×12.7 mm, a size larger than 6.35 mm×6.35 mm, a size larger than 2.36 mm×2.36 mm, and a size smaller than 2.36 mm×2.36 mm.
[0060] In one embodiment of the method for reprocessing and color-classifying cigarette strips of the present invention, step S13 may specifically include:
[0061] Step S131, after passing through the first-stage flat screen 5 located below the second-stage roller screen 3 and the second-stage shearing device 4, the cigarette sheets with a size larger than 12.7 mm×12.7 mm advance along the first-stage flat screen, and the cigarette sheets with other sizes enter the second-stage flat screen 6 located below the first-stage flat screen 5.
[0062] Step S132 , after passing through the second-stage flat screen 6 , cigarette sheets with a size larger than 6.35 mm×6.35 mm advance along the second-stage flat screen 6 , and cigarette sheets with other sizes enter the third-stage flat screen 7 located below the second-stage flat screen 6 .
[0063] Step S133 , after passing through the third-stage flat screen 7 , cigarette flakes with a size larger than 2.36 mm×2.36 mm advance along the third-stage flat screen 7 , and cigarette flakes with a size smaller than 2.36 mm×2.36 mm are collected below the third-stage flat screen 7 .
[0064] Among them, cigarette pieces with a size smaller than 2.36mm×2.36mm are considered to be crushed and recycled separately.
[0065] Step S2: subjecting the smaller tobacco sheets in a plurality of size ranges to color recognition processing respectively, so as to classify the tobacco sheets in each size range into two categories of dark-colored tobacco sheets and light-colored tobacco sheets according to the color recognition results.
[0066] Specifically, the smaller tobacco sheets with sizes larger than 12.7mm×12.7mm, sizes larger than 6.35mm×6.35mm, and sizes larger than 2.36mm×2.36mm are respectively subjected to color recognition processing, so that the tobacco sheets of each size are classified into two categories, dark tobacco sheets and light tobacco sheets, according to the color recognition results.
[0067] In the present invention, after color recognition and classification processing, the tobacco sheets are divided into 7 categories, namely: dark tobacco sheets with a size greater than 12.7mm×12.7mm, light tobacco sheets with a size greater than 12.7mm×12.7mm, dark tobacco sheets with a size greater than 6.35mm×6.35mm, light tobacco sheets with a size greater than 6.35mm×6.35mm, dark tobacco sheets with a size greater than 2.36mm×2.36mm, light tobacco sheets with a size greater than 2.36mm×2.36mm, and tobacco sheets with a size less than 2.36mm×2.36mm.
[0068] In one embodiment of the method for reprocessing and color-classifying cigarette strips of the present invention, step S2 may specifically include:
[0069] Step S21, the tobacco sheets with a size larger than 12.7 mm×12.7 mm that move along the first-stage flat screen 5 pass through the first color recognition and classification device 8 at the rear end of the first-stage flat screen 5, and the tobacco sheets with a size larger than 12.7 mm×12.7 mm are classified into two categories: dark-colored tobacco sheets and light-colored tobacco sheets.
[0070] Step S22, the tobacco sheets with a size larger than 6.35mm×6.35mm that move along the second-stage flat screen 6 pass through the second color recognition and classification device 9 at the rear end of the second-stage flat screen 6, and the tobacco sheets with a size larger than 6.35mm×6.35mm are classified into two categories: dark-colored tobacco sheets and light-colored tobacco sheets.
[0071] Step S23, the tobacco sheets with a size larger than 2.36mm×2.36mm that move along the third-stage flat screen 7 pass through the third color recognition and classification device 10 at the rear end of the third-stage flat screen 7, and the tobacco sheets with a size larger than 2.36mm×2.36mm are classified into two categories: dark-colored tobacco sheets and light-colored tobacco sheets.
[0072] Among them, Figure 3 As shown, the first color recognition and classification device 8, the second color recognition and classification device 9 and the third color recognition and classification device 10 respectively include: a tobacco strip color recognition belt, the tobacco strip color recognition belt includes a thinning area 11 and a color recognition area 12 arranged in sequence, the color recognition area 12 is provided with a color sensor (not shown), and the color recognition area 12 located at the rear end of the color identifier is divided into a dark tobacco strip belt 13 and a light tobacco strip belt 14. The thinning area 11 thins the tobacco strips through a soft scraper to thin the incoming material to one layer as much as possible.
[0073] The color sensor is connected to a color depth discrimination module, and the color depth discrimination module is connected to a production control system.
[0074] The color sensor is used to collect color parameters of tobacco strips, and the color parameters include: lightness L*, redness a* and yellowness b*. The color sensor measures the color of tobacco strips online in a non-contact manner;
[0075] The color depth discrimination module is used to discriminate the color depth using the color depth DS discrimination model according to the color parameters collected by the color sensor, and to feed back the color depth discrimination result to the production line control system in real time, wherein the feedback interval of the color depth DS discrimination model is within 2s;
[0076] The production line control system is used to transport the tobacco sheets to the corresponding belt according to the color depth discrimination result, and is specifically used to: if the color depth DS discrimination model determines that the color of the tobacco sheets is dark, then start the fan (i.e., the first fan 15) corresponding to the dark tobacco sheet belt 13 to blow the dark tobacco sheets into the dark tobacco sheet belt 13; if the color depth DS discrimination model determines that the color of the tobacco sheets is light, then start the fan (i.e., the second fan 16) corresponding to the light tobacco sheet belt 14 to blow the light tobacco sheets into the light tobacco sheet belt 14, so as to realize the online distinction between dark tobacco sheets and light tobacco sheets.
[0077] Furthermore, the color depth DS discrimination model performs color depth discrimination in the following manner:
[0078] Step SA1: with lightness L * , redness a * , yellowness b *As the independent variable, the color depth DS as the dependent variable, construct a multiple linear regression equation:
[0079] DS=0.2214865+0.87598 L * +0.44752 a * +0.52658 b * (1).
[0080] In the specific implementation, the collected 6 types of cigarette flakes (excluding those smaller than 2.36mm×2.36mm) are measured for lightness L*, redness a*, and yellowness b* using color eye7000A (colorimeter). Those larger than 12.7mm×12.7mm (depth) and larger than 6.35mm×6.35mm (depth) are collected on a belt and recorded as I 1 , those larger than 6.35mm×6.35mm (shallow) and those larger than 2.36mm×2.36mm (shallow) are put into one belt and recorded as I 2 , greater than 12.7mm×12.7mm (shallow), recorded as I 3 , larger than 2.36mm×2.36mm (depth) are separately collected into two belts and recorded as I 4 , each belt is sampled every 10 seconds, about 50g of sample is obtained each time, 100 samples are taken, a total of 400 samples, and 400 sets of data are measured to establish the DS discrimination model of color depth. The L*a*b* model is a CIE uniform color space model, which is based on the opposite color theory and reference white point, has nothing to do with the equipment, and is suitable for applications close to natural light illumination.
[0081] When distinguishing or describing colors, people often use the following three basic perceptual quantities to represent color characteristics: brightness, chroma, and saturation. Let the three stimulus quantities required to form a certain color be represented by X, Y, and Z respectively. Among them, brightness is proportional to the reflectivity of the object, corresponding to the brightness of the color. When there is color, the more white is added, the brighter it is, and the more black is added, the smaller the brightness is. If there is no color, there is only a change in brightness. Hue is related to the wavelength of the main light in the mixed spectrum, or it represents the main color perceived by the observer. For a color of a certain hue, the brightness will change after adding white light or dark light, but the hue will not change. Saturation is related to the purity of a certain hue. Pure spectral colors are fully saturated, and the saturation gradually decreases with the addition of white light. Hue and saturation are collectively called chroma. Color can be represented by brightness and chroma.
[0082] The above three stimulus quantities X, Y, Z to L are obtained by the following formula * a * b * The conversion formula of the model is:
[0083]
[0084] The DS color depth discrimination model is based on L * a * b * The specific calculation process of model conversion is as follows:
[0085] The color values are numbered from the center to the outside as 0, 1, 2, 3, ..., 99, representing the color depth DS. The lighter the color, the greater the value. * , redness a * , yellowness b * As the independent variable, the color depth DS as the dependent variable, a multiple linear regression equation was constructed, and the 400 groups of measured data were used as the color depth data samples for multiple linear regression analysis. The value ranges of the independent and dependent variables are shown in Table 1.
[0086] Table 1 Value ranges of independent and dependent variables
[0087]
[0088] The factors affecting the depth of color include brightness, redness, and yellowness. A correlation analysis is performed on the independent variable and the dependent variable, and the linear correlation between the two is evaluated based on the analysis results. The correlation coefficient calculation formula is:
[0089]
[0090] Where: n is the number of samples; is the experimental value of the independent variable With the mean deviation; is the experimental value of the dependent variable and Deviation from the mean.
[0091] Lightness L * , redness a * , yellowness b * There is a linear relationship between each factor and the color depth DS. In order to evaluate the relationship between each factor and the color depth DS, a multivariate linear regression model was established. After fitting, the above formula (1) was obtained.
[0092] Table 2 Regression model test
[0093]
[0094] Furthermore, the present invention also uses a significance test to evaluate whether the fitted regression model (i.e., formula (1)) is effective, and is analyzed in conjunction with Table 2: The F test corresponds to a significance level Sig (F) = 0.000 < 0.05, and the linear relationship of the model is significant when the significance level α = 0.05. The significance level of the t test of the regression coefficient of each variable is Sig (t) < 0.05. According to the t test results, the linear relationship between the independent variable and the dependent variable of this model is significant, that is, the lightness L * , redness a * , yellowness b * The three influencing factors have a significant linear relationship with the color depth DS. The results of F test and t test show that the multiple linear regression model is feasible.
[0095] Step SA2: Substitute the color parameters collected by the color sensor into the color depth DS discrimination model to obtain a model prediction value.
[0096] Step SA3: Obtain a color depth discrimination result according to the interval of the model prediction value.
[0097] Specifically, if the model prediction value is ≥ 78.5 points, the color of the tobacco sheet is judged as light; if the model prediction value is < 78.5 points, the color of the tobacco sheet is judged as dark. In some embodiments of the present invention, the color depth DS discrimination model is compared with the manual discrimination, and combined with Figure 4 By improving the model judgment result of color depth DS, it can be obtained that DS=78.5 is the dividing line of color depth: DS≥78.5 is judged as light color; DS<78.5 is judged as dark color.
[0098] In some embodiments of the present invention, the fitting effect of the multivariate linear regression equation is further analyzed in combination with the average relative error of the color depth DS, and the calculation formula is:
[0099]
[0100] in: It represents the difference between the predicted value and the measured value. The model accuracy increases with The decrease of increases; y represents the number of data; It indicates the number of data that the predicted value is consistent with the manual discrimination. After calculation, the average relative error of the color depth DS is 5.26%. The model discrimination accuracy rate reaches 94.74%, which shows that the multivariate regression equation established by the present invention has a good prediction effect and has a reference value for the prediction result of the color depth.
[0101] In one embodiment of the present invention, 20,000 dan of tobacco leaf modules from a certain origin in 2023 are selected, of which 10,000 dan are subjected to conventional leaf threshing and redrying, and the finished product is recorded as I, and the other 10,000 dan are processed according to steps S1 and S2 of the present invention to obtain dark tobacco sheets with a size greater than 12.7 mm×12.7 mm (i.e., A), light tobacco sheets with a size greater than 12.7 mm×12.7 mm (recorded as B), dark tobacco sheets with a size greater than 6.35 mm×6.35 mm (recorded as C), and light tobacco sheets with a size greater than 6.75 mm×6.75 mm (recorded as S). Seven AI categories were selected for comparison, including light-colored sheets of .35mm×6.35mm (denoted as D), dark-colored sheets of larger than 2.36mm×2.36mm (denoted as E), light-colored sheets of larger than 2.36mm×2.36mm (denoted as F), and sheets of smaller than 2.36mm×2.36mm (denoted as I). Specifically, the color depth of each finished product was manually determined again. The color data of the sheets and the determination results are shown in Table 3. The determination results of the classification model are consistent with the manual determination results, and the model is effective.
[0102] Table 3 Color of tobacco sheets and determination results
[0103]
[0104] The conventional redrying finished product and the color-grouped finished product (AI) after the treatment of step S1-step S2 of the present invention were tested, and the differences in chemical composition and sensory quality were determined. The indicators that have a greater impact on the quality of tobacco sheets were selected for comparative analysis. The test results are shown in Table 4. It can be seen that the sugar-alkali ratio, sugar-nitrogen ratio, and two-sugar ratio of category A, i.e., >12.7 mm×12.7 mm (deep), are all high and have appropriate values, the chemical composition is well coordinated, and the aroma quality, aroma volume, concentration, and impurity scores are all higher than those of other categories. There is little difference between category B and category C, indicating that the slices >12.7 mm×12.7 mm (shallow) and >6.35 mm×6.35 mm (deep) The chemical composition coordination and sensory quality of the cigarettes are comparable, among which Category C, i.e., >6.35mm×6.35mm (deep), is slightly better; Category D, i.e., >6.35mm×6.35mm (shallow), is closer to conventional redried products in terms of chemical composition coordination and sensory quality, and slightly worse than conventional redried products; Category E and Category F perform the worst in terms of chemical composition coordination and sensory quality; the quality of >2.36mm×2.36mm (deep) and >2.36mm×2.36mm (shallow) is superior to the others, and >2.36mm×2.36mm (deep) is better than >2.36mm×2.36mm (shallow).
[0105] From the comparison results, it can be seen that the quality of the tobacco leaves after threshing can be effectively distinguished by color difference. The three types of tobacco leaves, >12.7mm×12.7mm (dark), >12.7mm×12.7mm (shallow) and >6.35mm×6.35mm (dark), are better than conventional redried products in terms of chemical composition coordination and sensory quality. After classification and packaging, they can be considered for use in higher-grade formulations, which improves the utilization efficiency of tobacco leaf raw materials and has good practical significance.
[0106] Table 4 Intrinsic quality of finished products
[0107]
[0108] The method for reprocessing tobacco sheets and classifying and assembling them by color provided in an embodiment of the present invention first processes large-sized tobacco sheets into smaller tobacco sheets of multiple size ranges; then, based on the color recognition results, the smaller tobacco sheets of each size range are classified into two types of tobacco sheets: dark-colored tobacco sheets and light-colored tobacco sheets. The tobacco sheets can be distinguished again based on different colors. Compared with conventional re-roasted products, the chemical composition coordination and sensory quality can be improved. After classification and packaging, they can be used for higher-grade formulations, thereby improving the utilization efficiency of tobacco leaf raw materials and having good practical significance.
[0109] So far, various embodiments of the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.
[0110] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims
1. A method for reprocessing and color classification of tobacco strips, characterized in that: include: The mixed tobacco strips after threshing are subjected to two-stage roller screen screening, two-stage shearing treatment, and then three-stage flat screen screening treatment, so as to process the large-sized tobacco strips into smaller tobacco strips of multiple size ranges; Smaller tobacco flakes in a plurality of size ranges are subjected to color recognition processing respectively, so that the tobacco flakes in each size range are classified into two categories of dark-colored tobacco flakes and light-colored tobacco flakes according to the color recognition results.
2. The method for reprocessing and color-classifying cigarette strips according to claim 1, characterized in that: The mixed tobacco material includes tobacco strips with a size greater than 42 mm×42 mm, tobacco strips with a size greater than 25.4 mm×25.4, tobacco strips with a size greater than 12.7 mm×12.7 mm, tobacco strips with a size greater than 6.35 mm×6.35 mm, and tobacco strips with a size greater than 2.36 mm×2.36 mm. The mixed tobacco strips after threshing are subjected to two-stage roller screen screening, two-stage shearing treatment, and then three-stage flat screen screening treatment to process large-sized tobacco strips into smaller tobacco strips of multiple size ranges, specifically including: The mixed tobacco strips after leaf beating are screened through two stages of roller screens, processed through two stages of shearing, and then screened through three stages of flat screens, so as to process tobacco strips with sizes larger than 42mm×42mm and sizes larger than 25.4mm×25.4mm into smaller strips with sizes larger than 12.7mm×12.7mm, sizes larger than 6.35mm×6.35mm, sizes larger than 2.36mm×2.36mm, and sizes smaller than 2.36mm×2.36mm.
3. The method for reprocessing and color-classifying cigarette strips according to claim 2, characterized in that: The mixed tobacco strips after beating are subjected to two-stage roller screen screening, two-stage shearing treatment and then three-stage flat screen screening treatment, so as to process tobacco strips with a size greater than 42 mm×42 mm and a size greater than 25.4 mm×25.4 mm into smaller strips with a size greater than 12.7 mm×12.7 mm, a size greater than 6.35 mm×6.35 mm, a size greater than 2.36 mm×2.36 mm and a size less than 2.36 mm×2.36 mm, specifically including: After the threshed mixed tobacco strips are processed by the first-stage roller screen, tobacco strips with a size larger than 42 mm × 42 mm enter the first-stage shearing device located below one side edge of the first-stage roller screen for first-stage flexible shearing processing, and tobacco strips of other sizes and tobacco strips that have passed the first-stage shearing device enter the second-stage roller screen located below the first-stage roller screen; After passing through the second-stage roller screen, tobacco sheets with a size larger than 25.4 mm × 25.4 mm enter the second-stage shearing device located below the other side edge of the second-stage roller screen for second-stage flexible shearing treatment, and tobacco sheets with other sizes and tobacco sheets that have passed through the second-stage shearing device enter the third-stage flat screen located below the second-stage roller screen; On the three-stage flat screen, the tobacco flakes are screened into smaller flakes having sizes larger than 12.7 mm×12.7 mm, sizes larger than 6.35 mm×6.35 mm, sizes larger than 2.36 mm×2.36 mm, and sizes smaller than 2.36 mm×2.36 mm.
4. The method for reprocessing and color-classifying cigarette strips according to claim 3, characterized in that: On the three-stage flat screen, the tobacco flakes are screened into smaller flakes with a size greater than 12.7 mm × 12.7 mm, a size greater than 6.35 mm × 6.35 mm, a size greater than 2.36 mm × 2.36 mm, and a size less than 2.36 mm × 2.36 mm, specifically including: After passing through the first-stage flat screen located below the second-stage roller screen and the second-stage shearing device, tobacco flakes with a size larger than 12.7 mm × 12.7 mm proceed along the first-stage flat screen, and tobacco flakes of other sizes enter the second-stage flat screen located below the first-stage flat screen; After passing through the second-stage flat screen, tobacco flakes with a size larger than 6.35 mm × 6.35 mm move along the second-stage flat screen, and tobacco flakes of other sizes enter the third-stage flat screen located below the second-stage flat screen; After passing through the third-stage flat screen, tobacco flakes with a size larger than 2.36 mm×2.36 mm advance along the third-stage flat screen, and tobacco flakes with a size smaller than 2.36 mm×2.36 mm are collected below the third-stage flat screen.
5. The method for reprocessing and color-classifying cigarette strips according to claim 4, characterized in that: The method of subjecting the smaller tobacco sheets of a plurality of size ranges to color recognition processing to classify the tobacco sheets of each size range into two types of tobacco sheets, dark tobacco sheets and light tobacco sheets, according to the color recognition results, specifically includes: Smaller tobacco sheets with sizes larger than 12.7 mm×12.7 mm, sizes larger than 6.35 mm×6.35 mm, and sizes larger than 2.36 mm×2.36 mm are respectively subjected to color recognition processing, so that the tobacco sheets of each size are classified into two categories, dark tobacco sheets and light tobacco sheets, according to the color recognition results.
6. The method for reprocessing and color-classifying cigarette strips according to claim 5, characterized in that: After color identification and classification, the cigarette strips are divided into 7 categories, namely: dark cigarette strips with a size larger than 12.7mm×12.7mm, light cigarette strips with a size larger than 12.7mm×12.7mm, dark cigarette strips with a size larger than 6.35mm×6.35mm, light cigarette strips with a size larger than 6.35mm×6.35mm, dark cigarette strips with a size larger than 2.36mm×2.36mm, light cigarette strips with a size larger than 2.36mm×2.36mm, and cigarette strips with a size smaller than 2.36mm×2.36mm.
7. The method for reprocessing and color-classifying cigarette strips according to claim 5, characterized in that: The process of subjecting the smaller tobacco sheets with a size larger than 12.7 mm×12.7 mm, a size larger than 6.35 mm×6.35 mm, and a size larger than 2.36 mm×2.36 mm to color recognition processing respectively, so as to classify the tobacco sheets of each size into two categories of dark tobacco sheets and light tobacco sheets according to the color recognition results, specifically includes: The tobacco flakes with a size larger than 12.7 mm×12.7 mm that move along the first-stage flat screen pass through the first color recognition and classification device at the rear end of the first-stage flat screen, and the tobacco flakes with a size larger than 12.7 mm×12.7 mm are classified into two categories: dark-colored flakes and light-colored flakes. The tobacco flakes with a size larger than 6.35 mm×6.35 mm that move along the second-stage flat screen pass through the second color recognition and classification device at the rear end of the second-stage flat screen, and the tobacco flakes with a size larger than 6.35 mm×6.35 mm are classified into two categories: dark-colored flakes and light-colored flakes. The tobacco flakes with a size larger than 2.36mm×2.36mm that move along the third-stage flat screen pass through the third color recognition and classification device at the rear end of the third-stage flat screen, and the tobacco flakes with a size larger than 2.36mm×2.36mm are classified into two categories: dark-colored flakes and light-colored flakes.
8. The method for reprocessing and color-classifying tobacco sheets according to claim 7, characterized in that: The first color recognition and classification device, the second color recognition and classification device and the third color recognition and classification device respectively include: a sheet tobacco color recognition belt, the sheet tobacco color recognition belt includes a thinning area and a color recognition area arranged in sequence, the color recognition area is provided with a color sensor, and the color recognition area located at the rear end of the color identifier divides the sheet tobacco into a dark-colored sheet tobacco belt and a light-colored sheet tobacco belt.
9. The method for reprocessing and color-classifying tobacco sheets according to claim 8, characterized in that: The color sensor is connected to a color depth discrimination module, and the color depth discrimination module is connected to a production control system. The color sensor is used to collect color parameters of the tobacco leaf, and the color parameters include: lightness L*, redness a* and yellowness b*; The color depth discrimination module is used to discriminate the color depth according to the color parameters collected by the color sensor using the color depth DS discrimination model, and to feed back the color depth discrimination result to the production line control system in real time; The production line control system is used to transport the tobacco sheets to the corresponding belt according to the color depth discrimination result, and is specifically used for: if the color depth DS discrimination model determines that the color of the tobacco sheets is dark, then the fan corresponding to the dark tobacco sheet belt is started to blow the dark tobacco sheets into the dark tobacco sheet belt; if the color depth DS discrimination model determines that the color of the tobacco sheets is light, then the fan corresponding to the light tobacco sheet belt is started to blow the light tobacco sheets into the light tobacco sheet belt.
10. The method for reprocessing and color-classifying tobacco strips according to claim 9, characterized in that: The color depth DS discrimination model discriminates color depth in the following manner: Lightness L * , redness a * , yellowness b * As the independent variable, the color depth DS as the dependent variable, construct a multiple linear regression equation: DS=0.2214865+0.87598 L * +0.44752 a * +0.52658 b * ; Substituting the color parameters collected by the color sensor into the color depth DS discrimination model to obtain a model prediction value; According to the interval of the model prediction value, the color depth discrimination result is obtained. The color depth discrimination result is obtained according to the interval of the model prediction value, specifically including: If the model prediction value is ≥78.5 points, the color of the tobacco piece is judged to be light color; If the model prediction value is less than 78.5 points, the tobacco color is judged to be dark.