A method, device, medium and product for screening reconstituted tobacco leaf

Abstract

The application discloses a kind of reconstituted tobacco screening processing method, device, medium and product.The method comprises: in the process of leaf silk production line process treatment, if it is detected that current stage is completed tobacco processing stage, target analysis leaf group is determined to target cut tobacco leaf group mixture material is sampled, and target analysis tobacco in target analysis leaf group is determined based on preset color difference detection strategy;The length-width folding coefficient and the projection area folding coefficient of target analysis tobacco are determined respectively, and the folding number of target analysis tobacco is determined according to length-width folding coefficient, projection area folding coefficient and preset characteristic coefficient interval;According to the folding number, the sheet type of target analysis tobacco is determined, and target analysis tobacco is screened according to the sheet type of target analysis tobacco.The present application can accurately and effectively screen reconstituted tobacco in leaf group mixture material, reduce the proportion of abnormal tobacco sheet silk, and improve the effective utilization rate of tobacco.

Description

Technical Field

[0001] This invention relates to the field of cigarette production technology, and in particular to a screening and processing method, apparatus, medium, and product for reconstituted tobacco leaves. Background Technology

[0002] Reconstituted tobacco, also known as tobacco sheets, is currently used by cigarette manufacturers in two main ways, categorized by its form: blending with shredded tobacco and blending with sheet tobacco. Shredded blending refers to the process where reconstituted tobacco is processed into sheet tobacco and then blended with tobacco leaves at the cigarette factory's processing line before flavoring, according to a formula. Sheet blending refers to the process where reconstituted tobacco is pre-processed separately at the tobacco processing stage of the processing line before being blended with tobacco flakes, or where reconstituted tobacco and tobacco flakes are processed simultaneously or asynchronously. Simultaneous processing involves processing reconstituted tobacco and raw tobacco flakes together, typically in the order of "sheet tobacco first, then sheet tobacco," i.e., "sheet tobacco + sheet tobacco."

[0003] Regarding leaf blending, in the tobacco processing stage of the tobacco processing line, the leaf blend formula for a cigarette brand typically includes different proportions of raw tobacco leaves and reconstituted tobacco leaves. The processing steps of the tobacco processing line mainly include the leaf processing stage and the shredded tobacco processing stage. The leaf processing stage includes: slicing and feeding, loosening and rehydration, primary feeding, premixing, box storage, secondary feeding, and box storage, resulting in a uniform leaf blend mixture; the shredded tobacco processing stage includes: cutting, blending, and flavoring, resulting in finished shredded tobacco.

[0004] Typically, reconstituted tobacco leaves are fed into the tobacco processing line in the form of flat sheets. However, during the loosening, rehydration, feeding, and blending processes in the tobacco processing stage, the reconstituted tobacco leaves are subject to temperature, moisture, liquid absorption, and physical collisions and compression, which easily cause varying degrees of folding. The proportion of multi-folded thin sheets before shredding can be as high as 70%-80%. Due to the folded angles, these multi-folded thin sheets are prone to forming a high proportion of irregularly shaped abnormal tobacco sheets after shredding, such as window-shaped shreds. Some of these abnormal tobacco sheets are removed by air separation in subsequent tobacco processing and rolling stages, affecting the effective utilization rate of tobacco sheets; the other part barely makes it into the finished cigarettes, but this also affects the uniformity of the tobacco and the sensory quality of the cigarettes.

[0005] Therefore, the screening process of reconstituted tobacco leaves after the tobacco leaf processing stage is an important factor affecting the precise maintenance of cigarette formula in the cigarette making process. At present, the existing tests in the industry are mostly focused on physical indicators such as sheet thickness, moisture content, tensile strength, and coating rate. The degree of sheet folding is mostly evaluated by visual measurement. There is a lack of unified, quantifiable, and repeatable test methods and evaluation indicators, which makes it difficult to use for process control and quality judgment.

[0006] How to comprehensively evaluate the reconstituted tobacco leaves in the leaf blend after the tobacco processing stage, so as to carry out accurate and effective screening and treatment, reduce the proportion of abnormal tobacco flakes after subsequent shredding, and improve the effective utilization rate of tobacco flakes, is an urgent problem to be solved. Summary of the Invention

[0007] This invention provides a screening and processing method, apparatus, medium, and product for reconstituted tobacco leaves, which can accurately and effectively screen and process reconstituted tobacco leaves in leaf blend mixtures, reduce the proportion of abnormal tobacco flakes, and improve the effective utilization rate of tobacco.

[0008] According to one aspect of the present invention, a method for screening and processing reconstituted tobacco leaves is provided, comprising: During the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, the mixture of the target shredded leaf group is sampled to determine the target analysis leaf group, and the target analysis tobacco leaf in the target analysis leaf group is determined based on the preset color difference detection strategy. The length and width folding coefficients and the projected area folding coefficient of the target tobacco leaf are determined respectively. Based on the length and width folding coefficients, the projected area folding coefficients and the preset characteristic coefficient range, the number of folded layers of the target tobacco leaf is determined. The type of tobacco leaf slices to be analyzed is determined based on the number of folded layers, and the tobacco leaves to be analyzed are then screened based on the type of tobacco leaf slices.

[0009] According to another aspect of the present invention, a screening and processing apparatus for reconstituted tobacco leaves is provided, comprising: The tobacco leaf identification module is used to sample the mixture of target shredded leaves if the current stage is detected as the completed tobacco leaf processing stage during the tobacco leaf production line process, identify the target analysis leaf group, and identify the target analysis tobacco leaf in the target analysis leaf group based on the preset color difference detection strategy. The layer number determination module is used to determine the length and width folding coefficients and the projected area folding coefficients of the target tobacco leaf, and to determine the number of folded layers of the target tobacco leaf based on the length and width folding coefficients, the projected area folding coefficients and the preset characteristic coefficient range. The screening module is used to determine the slice type of the target tobacco leaf based on the number of folded layers, and to perform screening processing on the target tobacco leaf based on the slice type.

[0010] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the screening process for reconstituted tobacco leaves according to any embodiment of the present invention.

[0011] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the screening process for reconstituted tobacco leaves as described in any embodiment of the present invention.

[0012] According to another aspect of the present invention, a computer program product is also provided, the computer program product including a computer program that, when executed by a processor, implements the screening and processing method for reconstituted tobacco leaves according to any embodiment of the present invention.

[0013] The technical solution of this invention, during the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, samples are taken from the target shredded leaf mixture to determine the target analysis leaf group. Based on a preset color difference detection strategy, the target analysis tobacco leaves in the target analysis leaf group are identified. The length and width folding coefficients and projected area folding coefficients of the target analysis tobacco leaves are determined respectively. Based on the length and width folding coefficients, projected area folding coefficients, and preset characteristic coefficient ranges, the number of folded layers of the target analysis tobacco leaves is determined. The sheet type of the target analysis tobacco leaves is determined based on the number of folded layers, and the target analysis tobacco leaves are screened based on the sheet type. By comprehensively evaluating the reconstituted tobacco leaves in the leaf mixture after the tobacco leaf processing stage, accurate and effective screening can be performed, reducing the proportion of abnormal tobacco sheet shreds after subsequent shredding and improving the effective utilization rate of tobacco sheets.

[0014] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a screening and processing method for reconstituted tobacco leaves provided in an embodiment of the present invention; Figure 2This is a structural block diagram of a screening and processing device for reconstituted tobacco leaves provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first," "second," "target," "candidate," and "alternative," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the invention described herein can be practiced in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The acquisition, storage, use, and processing of data in the technical solutions of this application comply with relevant laws and regulations.

[0019] Example 1 Figure 1 This is a flowchart of a screening method for reconstituted tobacco leaves provided in an embodiment of the present invention. This embodiment is applicable to the comprehensive evaluation of reconstituted tobacco leaves in leaf blends after the tobacco leaf processing stage, thereby enabling accurate and effective screening and reducing the proportion of abnormal tobacco flakes after subsequent shredding. This method can be executed by a reconstituted tobacco leaf screening device, which can be implemented in hardware and / or software and can be configured in electronic devices, such as... Figure 1 As shown, the screening and processing method for reconstituted tobacco leaves includes: S101. During the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, the mixture of the target shredded leaf group is sampled to determine the target analysis leaf group, and the target analysis tobacco leaf in the target analysis leaf group is determined based on the preset color difference detection strategy.

[0020] The tobacco processing stage refers to the loosening, rehydration, feeding, and blending of raw tobacco leaves and reconstituted tobacco leaves. After this stage, the reconstituted tobacco leaves are subject to temperature, moisture, liquid adsorption, and physical collisions and compression, which can easily cause varying degrees of folding, affecting the proportion of abnormal fibers after subsequent shredding. After the tobacco processing stage is completed, the desired leaf mixture for shredding is obtained, and the next process stage is to shred the leaf mixture.

[0021] The target analysis leaf group refers to a portion of tobacco leaves sampled from the target shredded leaf mixture. This group includes both reconstituted tobacco leaves and raw tobacco leaves. Raw tobacco leaves refer to unprocessed, natural tobacco leaves, while reconstituted tobacco leaves refer to artificially produced tobacco leaves. The preset color difference detection strategy refers to a pre-defined detection strategy used to distinguish between reconstituted and raw tobacco leaves. The target analysis tobacco leaves refer to the reconstituted tobacco leaves separated from the target analysis leaf group.

[0022] Optionally, during the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, a partial sample (such as a 500g sample) can be randomly cut from the complete conveying end face of the leaf mixture after storage before cutting to obtain the target analysis leaf group, so as to sample the target shredded leaf mixture and determine the target analysis leaf group.

[0023] Optionally, reconstituted tobacco leaves can be manually sorted from the target analysis leaf group to serve as the target analysis tobacco leaves. Alternatively, the target analysis tobacco leaves in the target analysis leaf group can be determined based on a preset color difference detection strategy. This invention does not limit the scope of the invention.

[0024] Optionally, based on a preset color difference detection strategy, the target tobacco leaves in the target analysis leaf group are determined, including: acquiring the target visual image corresponding to the target analysis leaf group based on a preset image sensor; performing target detection on the target visual image to determine the candidate tobacco leaves contained in the target visual image, and selecting reconstituted tobacco leaves from the candidate tobacco leaves according to the color difference between reconstituted tobacco leaves and raw tobacco leaves, so as to determine the target tobacco leaves in the target analysis leaf group.

[0025] The visual images include at least two images acquired from different angles of the target leaf group. The visual images can represent the complete leaf group outline, the surface color, texture, and boundaries of each tobacco leaf.

[0026] Optionally, the target analysis leaf group can be placed on a conveyor belt or detection table so that it passes through the camera shooting area at a constant speed, and the target visual image corresponding to the target analysis leaf group can be acquired based on a preset image sensor at a preset acquisition time.

[0027] Optionally, a preset target detection algorithm can be used to detect targets in the visual image, identify the edges and contours of each tobacco leaf in the image, use a target detection box to select each individual tobacco leaf, and determine all the selected tobacco leaves as candidate tobacco leaves.

[0028] Optionally, a large number of sample images of raw tobacco leaves and reconstituted tobacco leaves can be used in advance to extract the color space features of both (such as color channel values, mean color difference, and variance), establish a color difference discrimination threshold model, extract the color pixel features of local images for each candidate tobacco leaf, calculate the color parameters, compare the color parameters with the color difference discrimination threshold model, and if they meet the color difference features of reconstituted tobacco leaves, then the candidate tobacco leaf is determined to be a reconstituted tobacco leaf. The tobacco leaves determined to be reconstituted tobacco leaves among the candidate tobacco leaves are determined to be the target analysis tobacco leaves in the target analysis leaf group.

[0029] S102. Determine the length and width folding coefficients and the projected area folding coefficients of the target tobacco leaf, and determine the number of folded layers of the target tobacco leaf based on the length and width folding coefficients, the projected area folding coefficients, and the preset characteristic coefficient range.

[0030] The length-width folding coefficient is a coefficient obtained by comparing the aspect ratio of the original folded state and the unfolded state of the target tobacco leaf. The projected area folding coefficient is a coefficient obtained by comparing the projected area of ​​the original folded state and the unfolded state of the target tobacco leaf. The preset characteristic coefficient range can include length-width folding coefficient ranges corresponding to different numbers of folding layers, and can also include projected area folding coefficient ranges corresponding to different numbers of folding layers.

[0031] Optionally, the first number of folding layers can be determined based on the correlation between the length and width folding coefficients and the preset feature coefficient intervals. At the same time, the second number of folding layers can be determined based on the correlation between the projected area folding coefficients and the preset feature coefficient intervals. Finally, if the first number of folding layers and the second number of folding layers are the same, they are taken as the final number of folding layers. If the first number of folding layers and the second number of folding layers are different, the target tobacco leaf can be excluded from the analysis and not analyzed.

[0032] For example, the feature coefficient range corresponding to the length and width folding coefficients of a folded layer of 1 is [0.95, 1.0], and the feature coefficient range corresponding to the projected area folding coefficient of a folded layer of 1 is [0.95, 1.0]; the feature coefficient range corresponding to the length and width folding coefficients of a folded layer of 2 is [1.6, 1.9], and the feature coefficient range corresponding to the projected area folding coefficient of a folded layer of 2 is [0.5, 0.8]; the feature coefficient range corresponding to the length and width folding coefficients of a folded layer of 3 is [1.9, 2.3]. The characteristic coefficient range corresponding to the projected area folding coefficient for 3 folded layers is [0.4, 0.6]; the characteristic coefficient range corresponding to the length and width folding coefficient for 4 folded layers is [1.05, 1.25], and the characteristic coefficient range corresponding to the projected area folding coefficient for 4 folded layers is [0.3, 0.5]; the characteristic coefficient range corresponding to the length and width folding coefficient for more than 4 folded layers is [1.25, 1.45], and the characteristic coefficient range corresponding to the projected area folding coefficient for more than 4 folded layers is [0.2, 0.3].

[0033] For example, the correspondence between the number of folding layers, the length and width folding coefficients, the projected area folding coefficients, and the preset feature coefficient ranges can be shown in Table 1 below: As can be seen, when the length and width folding coefficients and the projected area folding coefficients are both 1, the corresponding number of folding layers can be determined to be 1 layer based on the characteristic coefficient range.

[0034] Optionally, determining the length and width folding coefficients of the target tobacco leaf includes: determining the folded length-to-width ratio of the target tobacco leaf in its original folded state based on the target visual image corresponding to the target leaf group, and determining the unfolded length-to-width ratio of the target tobacco leaf in its fully unfolded state; and determining the length and width folding coefficients of the target tobacco leaf based on the folded length-to-width ratio and the unfolded length-to-width ratio.

[0035] Optionally, the longest length L1 and the widest width W1 of the target tobacco leaf in its original folded state can be determined, and L1 / W1 can be determined as the folded length-to-width ratio. The longest length L2 and the widest width W2 of the target tobacco leaf in its fully unfolded state can be determined, and L2 / W2 can be determined as the unfolded length-to-width ratio. Finally, the ratio of the folded length-to-width ratio to the unfolded length-to-width ratio can be determined as the length-to-width folding coefficient of the target tobacco leaf.

[0036] Optionally, determining the projected area folding coefficient of the target tobacco leaf includes: determining the folded contour area and unfolded contour area corresponding to the target tobacco leaf; determining a first projected area folding coefficient based on the folded contour area and unfolded contour area; determining a first paper weight corresponding to the folded contour area and a second paper weight corresponding to the unfolded contour area; determining a second projected area folding coefficient based on the first paper weight and the second paper weight; and determining the projected area folding coefficient of the target tobacco leaf based on the first projected area folding coefficient and the second projected area folding coefficient.

[0037] The first projected area folding factor is the ratio of the folded outline area to the unfolded outline area. The second projected area folding factor is the ratio of the weight of the first sheet to the weight of the second sheet. The first and second projected area folding factors are determined using two different methods. The final projected area folding factor for the target tobacco leaf can be determined through weighted average of the first and second projected area folding factors, or by selecting one of them.

[0038] It should be noted that determining the length, width, and outline area of ​​tobacco leaves by analyzing visual images may contain errors. Determining the second projected area folding coefficient by combining it with an assessment of the actual paper weight can make the final projected area folding coefficient more accurate and effective.

[0039] Optionally, image analysis can be performed on the target visual image corresponding to the target tobacco leaf to determine the folded outline area of ​​the target tobacco leaf in its original folded state. Then, the target tobacco leaf can be unfolded manually or by a robotic arm. Based on the visual image of the target tobacco leaf in its unfolded state, the unfolded outline area of ​​the target tobacco leaf in its unfolded state can be determined. Finally, the ratio of the folded outline area to the unfolded outline area can be determined as the first projected area folding coefficient.

[0040] Optionally, the folded outline area and the unfolded outline area are projected onto the paper, and paper pieces are cut along the outline. The weights are measured to obtain the first paper weight corresponding to the folded outline area and the second paper weight corresponding to the unfolded outline area.

[0041] For example, the parameters of A4 paper can be: single sheet weight G = 5.055g, area S = 29.7mm × 21.1mm, and the weight of paper per unit area K = G / S = 5.055 / (29.7 × 21.1) ≈ 0.008 (g / mm²). 2If the area s1 of the folded outline and the area s2 of the fully unfolded outline are calculated, they can be determined based on the formulas s1=g1 / K and s2=g2 / K, where g1 and g2 represent the weight of the first paper and the weight of the second paper, respectively. The ratio of the calculated area s1 of the folded outline and the area s2 of the fully unfolded outline is determined as the second projected area folding coefficient. Alternatively, the ratio of the weight of the first paper and the weight of the second paper can be directly determined as the second projected area folding coefficient. This invention does not limit this.

[0042] Optionally, the area s1 of the folded contour and the area s2 of the fully unfolded contour, determined by the formulas s1=g1 / K and s2=g2 / K, can be compared with the contour area determined directly through visual image recognition. By determining the ratio of the folded contour area to the unfolded contour area, two projection area folding coefficients, namely the first projection area folding coefficient and the second projection area folding coefficient, are obtained. Finally, the projection area folding coefficient of the target tobacco leaf is obtained by weighing the factors.

[0043] As can be seen from Table 2 below, the more folded layers a reconstituted tobacco leaf has, the higher the proportion of abnormally thin filaments it will have. S103. Determine the slice type of the target tobacco leaf based on the number of folds, and then screen the target tobacco leaf according to the slice type.

[0044] Among them, the number of folds is one without folds, two with one fold, three with two folds, four with three folds, or more than four with more than three folds; the sheet categories are low-fold, intermediate, and multi-fold.

[0045] Optionally, the type of tobacco leaf slice for analysis can be determined based on the number of folds, including: if the number of folds is one unfolded layer or two folded layers, the slice category of the tobacco leaf for analysis is determined to be low-fold; if the number of folds is three folded layers, the slice category of the tobacco leaf for analysis is determined to be intermediate; if the number of folds is four folded layers or more than four folded layers, the slice category of the tobacco leaf for analysis is determined to be multi-folded.

[0046] Optionally, the target tobacco leaves are screened according to the type of thin slices, including: determining the proportion of tobacco leaves with multi-fold thin slices in the target tobacco leaves according to the type of thin slices, and determining whether the tobacco leaf screening conditions are met based on the relationship between the tobacco leaf proportion and the preset proportion threshold; if so, the target tobacco leaves are screened based on the tobacco leaf screening strategy to reduce the proportion of abnormal thin slices obtained in the shredding process.

[0047] The tobacco leaf screening strategy involves removing target tobacco leaves that are multi-folded or removing reconstituted tobacco leaves from the leaf blend according to a preset ratio. All tobacco leaves included in the target analysis are the screened reconstituted tobacco leaves.

[0048] Optionally, if the proportion of tobacco leaves is greater than a preset proportion threshold, then the tobacco leaf removal condition is determined to be met.

[0049] Optionally, based on the sheet type of the target tobacco leaf, the proportion of tobacco leaves with multi-folded sheet type in the target tobacco leaf is determined, including: determining the proportion of tobacco leaves with multi-folded sheet type in the target tobacco leaf based on the sheet type of each target tobacco leaf; and / or determining the proportion of tobacco leaves with multi-folded sheet type in the target tobacco leaf based on a preset multi-folded sheet proportion detection device.

[0050] The pre-set multi-fold thin sheet ratio detection device can be composed of a main structure, an air separation control system, and a material feeding control system. The main structure includes a tubular suspension chamber, a top overflow prevention net, a tubular feed hopper, an inclined feed hopper, a tubular air separation chamber, air separation ducts, a material feeding gate, a material feeding pipe, and a receiving tray. The air separation control system includes a wind turbine and a wind turbine frequency conversion control system. The material feeding control system includes a pneumatic switch device for the material feeding damper.

[0051] Optionally, the working principle of the preset multi-fold sheet proportion detection device can be as follows: After the device is started, the air classification force consists of air classification section 1 and air classification section 2. The working time and wind speed of both air classification sections can be adjusted. Air classification section 1 mainly performs air classification on multi-fold sheets. During this stage, the multi-fold sheets will fall above the discharge gate, while low-fold and intermediate-fold sheets float in the suspension chamber and air classification chamber. After a certain period of time, the discharge gate opens. Air classification section 2 works to keep the suspended material floating until the discharge gate closes. After the receiving box is replaced, air classification section 2 stops working and opens the discharge gate to let low-fold and intermediate-fold sheets fall. Finally, the materials that fall in the two air classification processes are weighed and measured respectively, and the proportion of multi-fold sheets can be calculated, that is, the proportion of tobacco leaves with multi-fold sheet type in the target analysis tobacco leaf is determined.

[0052] Optionally, after screening the target tobacco leaves, the leaf feeding strategy in the tobacco processing stage can be updated, and the leaves can be processed based on the updated leaf feeding strategy in the next round of leaf processing production line.

[0053] It should be noted that the detection of reconstituted tobacco leaves in this invention is a non-destructive test. If there are no multi-fold tobacco leaves in the target analysis tobacco leaves, the sampled leaves can be re-blended to perform subsequent leaf processing on a non-destructive basis.

[0054] The technical solution of this invention, during the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, samples are taken from the target shredded leaf mixture to determine the target analysis leaf group. Based on a preset color difference detection strategy, the target analysis tobacco leaves in the target analysis leaf group are identified. The length and width folding coefficients and projected area folding coefficients of the target analysis tobacco leaves are determined respectively. Based on the length and width folding coefficients, projected area folding coefficients, and preset characteristic coefficient ranges, the number of folded layers of the target analysis tobacco leaves is determined. The sheet type of the target analysis tobacco leaves is determined based on the number of folded layers, and the target analysis tobacco leaves are screened based on the sheet type. By comprehensively evaluating the reconstituted tobacco leaves in the leaf mixture after the tobacco leaf processing stage, accurate and effective screening can be performed, reducing the proportion of abnormal tobacco sheet shreds after subsequent shredding and improving the effective utilization rate of tobacco sheets.

[0055] Example 2 Figure 2 This is a structural block diagram of a reconstituted tobacco screening and processing device provided in an embodiment of the present invention. This embodiment is applicable to the comprehensive evaluation of reconstituted tobacco in leaf blends after the tobacco processing stage, thereby enabling accurate and effective screening and processing, reducing the proportion of abnormal tobacco flakes after subsequent shredding. The reconstituted tobacco screening and processing device provided by the present invention can execute the reconstituted tobacco screening and processing method provided in any embodiment of the present invention, possessing the corresponding functional modules and beneficial effects of the method. This reconstituted tobacco screening and processing device can be implemented in hardware and / or software and configured in an electronic device with reconstituted tobacco screening and processing function, such as... Figure 2 As shown, the screening and processing device for reconstituted tobacco leaves may specifically include: The tobacco leaf identification module 201 is used to sample the mixture of target shredded leaves if the current stage is detected as the completed tobacco leaf processing stage during the processing of the tobacco leaf production line, identify the target analysis leaf group, and identify the target analysis tobacco leaf in the target analysis leaf group based on a preset color difference detection strategy. The layer number determination module 202 is used to determine the length and width folding coefficients and the projected area folding coefficients of the target tobacco leaf, and to determine the number of folded layers of the target tobacco leaf based on the length and width folding coefficients, the projected area folding coefficients and the preset characteristic coefficient range. The screening and processing module 203 is used to determine the sheet type of the target tobacco leaf based on the number of folded layers, and to perform screening processing on the target tobacco leaf based on the sheet type.

[0056] The technical solution of this invention, during the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, samples are taken from the target shredded leaf mixture to determine the target analysis leaf group. Based on a preset color difference detection strategy, the target analysis tobacco leaves in the target analysis leaf group are identified. The length and width folding coefficients and projected area folding coefficients of the target analysis tobacco leaves are determined respectively. Based on the length and width folding coefficients, projected area folding coefficients, and preset characteristic coefficient ranges, the number of folded layers of the target analysis tobacco leaves is determined. The sheet type of the target analysis tobacco leaves is determined based on the number of folded layers, and the target analysis tobacco leaves are screened based on the sheet type. By comprehensively evaluating the reconstituted tobacco leaves in the leaf mixture after the tobacco leaf processing stage, accurate and effective screening can be performed, reducing the proportion of abnormal tobacco sheet shreds after subsequent shredding and improving the effective utilization rate of tobacco sheets.

[0057] Furthermore, the target analysis leaf group includes reconstituted tobacco leaves and raw tobacco leaves; The tobacco leaf determination module 201 is specifically used for: Based on a preset image sensor, target visual images corresponding to the target analysis leaf group are acquired; the visual images include at least two images obtained by acquiring images of the target analysis leaf group from different directions; Target detection is performed on the target visual image to identify candidate tobacco leaves contained in the target visual image. Based on the color difference between reconstituted tobacco leaves and raw tobacco leaves, reconstituted tobacco leaves are selected from the candidate tobacco leaves to determine the target analysis tobacco leaves in the target analysis leaf group.

[0058] Furthermore, the layer number determination module 202 is specifically used for: Based on the target visual image corresponding to the target leaf group, determine the folded aspect ratio of the target tobacco leaf in its original folded state, and determine the unfolded aspect ratio of the target tobacco leaf in its fully unfolded state. The length and width folding coefficients of the target tobacco leaf are determined based on the folded aspect ratio and the unfolded aspect ratio.

[0059] Furthermore, the layer number determination module 202 is also used for: Determine the folded contour area and unfolded contour area corresponding to the target tobacco leaf, and determine the first projected area folding coefficient based on the folded contour area and unfolded contour area. Determine the weight of the first paper corresponding to the folded outline area and the weight of the second paper corresponding to the unfolded outline area, and determine the folding coefficient of the second projected area based on the weight of the first paper and the weight of the second paper. The projected area folding factor of the target tobacco leaf is determined based on the first projected area folding factor and the second projected area folding factor.

[0060] Furthermore, the number of folds can be one fold without folds, two folds, three folds, four folds, or more than four folds; the sheet type can be low-fold, intermediate, or multi-fold; the screening module 203 is specifically used for: If the number of folds is one unfolded layer or two layers with one fold, then the target tobacco leaf slice category is determined to be low-fold type. If the number of folds is three layers and two folds, then the target tobacco leaf slice category is determined to be intermediate. If the number of folds is four layers with three folds or more than four layers with more than three folds, then the target tobacco leaf slice category is determined to be multi-fold.

[0061] Furthermore, the filtering module 203 is also used for: Based on the type of tobacco leaf slices analyzed, determine the proportion of tobacco leaves with multi-folded slices in the target analysis, and determine whether the tobacco leaf screening conditions are met based on the relationship between the tobacco leaf proportion and the preset proportion threshold. If so, the target tobacco leaves are screened based on a tobacco leaf screening strategy to reduce the proportion of abnormal thin flakes obtained during the shredding process; the tobacco leaf screening strategy is to remove the target tobacco leaves whose thin flake type belongs to the multi-fold type or to remove the reconstituted tobacco leaves in the leaf mixture according to a preset ratio.

[0062] Furthermore, the filtering module 203 is also used for: Based on the leaf type of each target tobacco leaf, determine the proportion of tobacco leaves with multi-folded leaves among the target tobacco leaves; and / or Based on a pre-set multi-fold sheet proportion detection device, the proportion of tobacco leaves in the target analysis tobacco leaf that are multi-fold sheet type is determined.

[0063] Example 3 Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Figure 3 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0064] like Figure 3As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory 12 or a random access memory 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the read-only memory 12 or loaded from storage unit 18 into the random access memory 13. The random access memory 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, read-only memory 12, and random access memory 13 are interconnected via a bus 14. An input / output interface 15 is also connected to the bus 14.

[0065] Multiple components in electronic device 10 are connected to input / output 15, including: input unit 16, such as a keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as a disk, optical disk, etc.; and communication unit 19, such as a network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0066] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing units, graphics processing units, various special-purpose artificial intelligence computing chips, various processors running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the screening process for reconstituted tobacco leaves.

[0067] In some embodiments, the reconstituted tobacco screening method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via read-only memory 12 and / or communication unit 19. When the computer program is loaded into random access memory 13 and executed by processor 11, one or more steps of the reconstituted tobacco screening method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the reconstituted tobacco screening method by any other suitable means (e.g., by means of firmware).

[0068] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard products (ASICs), system-on-a-chip (SoCs), complex programmable logic devices (PLCs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0069] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0070] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0071] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube or liquid crystal display) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (e.g., voice input, speech input, or tactile input).

[0072] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0073] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product within the cloud computing service system to address the shortcomings of traditional physical hosts and virtual reality services, such as high management difficulty and weak business scalability.

[0074] In one embodiment, the present invention further includes a computer program product, which includes a computer program that, when executed by a processor, implements the screening and processing method for reconstituted tobacco leaves according to any embodiment of the present invention.

[0075] In the implementation of a computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​as well as conventional procedural programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including local area networks (LANs) or wide area networks (WANs), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0076] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0077] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for screening and processing reconstituted tobacco leaves, characterized in that, include: During the processing of the tobacco leaf production line, if it is detected that the current stage is the completed tobacco leaf processing stage, the mixture of the target shredded leaf group is sampled to determine the target analysis leaf group, and the target analysis tobacco leaf in the target analysis leaf group is determined based on the preset color difference detection strategy. The length and width folding coefficients and the projected area folding coefficient of the target tobacco leaf are determined respectively. Based on the length and width folding coefficients, the projected area folding coefficients, and the preset characteristic coefficient range, the number of folded layers of the target tobacco leaf is determined. The type of tobacco leaf slices to be analyzed is determined based on the number of folded layers, and the tobacco leaves to be analyzed are then screened based on the type of tobacco leaf slices.

2. The method according to claim 1, characterized in that, in, The target analysis leaf group includes reconstituted tobacco leaves and raw tobacco leaves; Accordingly, based on the preset color difference detection strategy, the target tobacco leaves in the target analysis leaf group are determined, including: Based on a preset image sensor, target visual images corresponding to the target analysis leaf group are acquired; the visual images include at least two images obtained by acquiring images of the target analysis leaf group from different directions; Target detection is performed on the target visual image to identify candidate tobacco leaves contained in the target visual image. Based on the color difference between reconstituted tobacco leaves and raw tobacco leaves, reconstituted tobacco leaves are selected from the candidate tobacco leaves to determine the target analysis tobacco leaves in the target analysis leaf group.

3. The method according to claim 1, characterized in that, Determine the length and width folding coefficients of the target tobacco leaf, including: Based on the target visual image corresponding to the target leaf group, determine the folded aspect ratio of the target tobacco leaf in its original folded state, and determine the unfolded aspect ratio of the target tobacco leaf in its fully unfolded state. The length and width folding coefficients of the target tobacco leaf are determined based on the folded aspect ratio and the unfolded aspect ratio.

4. The method according to claim 1, characterized in that, Determine the projected area folding factor of the target tobacco leaf, including: Determine the folded contour area and unfolded contour area corresponding to the target tobacco leaf, and determine the first projected area folding coefficient based on the folded contour area and unfolded contour area. Determine the weight of the first paper corresponding to the folded outline area and the weight of the second paper corresponding to the unfolded outline area, and determine the folding coefficient of the second projected area based on the weight of the first paper and the weight of the second paper. The projected area folding factor of the target tobacco leaf is determined based on the first projected area folding factor and the second projected area folding factor.

5. The method according to claim 1, characterized in that, in, The number of folds can be one without folds, two with one fold, three with two folds, four with three folds, or more than four with more than three folds; the sheet can be classified as low-fold, intermediate, or multi-fold. Accordingly, the type of sheet of tobacco leaf to be analyzed is determined based on the number of folds, including: If the number of folds is one unfolded layer or two layers with one fold, then the target tobacco leaf slice category is determined to be low-fold type. If the number of folds is three layers and two folds, then the target tobacco leaf slice category is determined to be intermediate. If the number of folds is four layers with three folds or more than four layers with more than three folds, then the target tobacco leaf slice category is determined to be multi-fold.

6. The method according to claim 1, characterized in that, Based on the type of tobacco leaf slices analyzed, the target tobacco leaves are screened, including: Based on the type of tobacco leaf slices analyzed, determine the proportion of tobacco leaves with multi-folded slices in the target analysis, and determine whether the tobacco leaf screening conditions are met based on the relationship between the tobacco leaf proportion and the preset proportion threshold. If so, the target tobacco leaves are screened based on a tobacco leaf screening strategy to reduce the proportion of abnormal thin flakes obtained during the shredding process; the tobacco leaf screening strategy is to remove the target tobacco leaves whose thin flake type belongs to the multi-fold type or to remove the reconstituted tobacco leaves in the leaf mixture according to a preset ratio.

7. The method according to claim 6, characterized in that, Based on the target analysis of tobacco leaf slice types, determine the proportion of tobacco leaves with multi-folded slice types, including: Based on the leaf type of each target tobacco leaf, determine the proportion of tobacco leaves with multi-folded leaves among the target tobacco leaves; and / or Based on a pre-set multi-fold sheet proportion detection device, the proportion of tobacco leaves with multi-fold sheet type in the target analysis tobacco leaf is determined.

8. A screening and processing device for reconstituted tobacco leaves, characterized in that, include: The tobacco leaf identification module is used to sample the mixture of target shredded leaves if the current stage is detected as the completed tobacco leaf processing stage during the tobacco leaf production line process, identify the target analysis leaf group, and identify the target analysis tobacco leaf in the target analysis leaf group based on the preset color difference detection strategy. The layer number determination module is used to determine the length and width folding coefficients and the projected area folding coefficients of the target tobacco leaf, and to determine the number of folded layers of the target tobacco leaf based on the length and width folding coefficients, the projected area folding coefficients and the preset characteristic coefficient range. The screening module is used to determine the slice type of the target tobacco leaf based on the number of folded layers, and to perform screening processing on the target tobacco leaf based on the slice type.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the screening and processing method for reconstituted tobacco leaves according to any one of claims 1-7.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the screening and processing method for reconstituted tobacco leaves as described in any one of claims 1-7.

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