A tobacco leaf picking and threshing method and device based on nicotine homogenization

Abstract

The application discloses a tobacco leaf picking and threshing method and device based on nicotine homogenization. The nicotine values of multiple groups of to-be-processed tobacco leaves extracted from batch tobacco are calculated, and a picking and feeding matching model is constructed in combination with all the nicotine values, so that nicotine homogenization can be fully considered when the multiple groups of to-be-processed tobacco leaves are picked and processed. In addition, a threshing and feeding matching model can be constructed according to the nicotine values of the tobacco leaves after picking and processing, so that nicotine homogenization can be considered again when the tobacco leaves after picking and processing are threshed, and thus the nicotine homogenization effect of the cut tobacco product generated in the whole threshing and redrying process is best.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of tobacco processing, and particularly relates to a tobacco leaf selection and threshing method and device based on nicotine homogenization. BACKGROUND

[0002] The tobacco industry has increasingly high requirements for product homogenization. The tobacco leaf threshing and redrying process needs to ensure the nicotine homogenization of products. The homogenization processing modes corresponding to the existing tobacco leaf threshing and redrying processes mainly include direct laying, flat warehouse mixing, or high rack warehouse feeding modes, and the key control links mainly lie in the logistics link and the production link.

[0003] For the tobacco leaf threshing and reddry process, the leaf selection link is also an important link for ensuring the nicotine homogenization of products. However, the existing tobacco leaf threshing and redrying processes usually mainly adopt conventional static selection when performing the leaf selection link, cannot effectively consider nicotine homogenization, and thus will affect the nicotine homogenization effect of the tobacco sheet products generated by the entire tobacco leaf threshing and redrying process. SUMMARY

[0004] To solve the technical problem that the existing tobacco leaf threshing and redrying processes usually mainly adopt conventional static selection when performing the leaf selection link, cannot effectively consider nicotine homogenization, and thus will affect the nicotine homogenization effect of the tobacco sheet products generated by the entire tobacco leaf threshing and redrying process, the application provides a tobacco leaf selection and threshing method and device based on nicotine homogenization, and the technical scheme is as follows.

[0005] In a first aspect, the application embodiment provides a tobacco leaf selection and threshing method based on nicotine homogenization, which comprises the following steps.

[0006] At least two groups of first tobacco leaves to be processed are extracted from batch tobacco leaves based on preset sampling parameters, and a first nicotine value of each group of first tobacco leaves to be processed is detected.

[0007] The first nicotine values are subjected to mean value calculation to obtain a second nicotine value, and a first nicotine ratio is obtained based on the second nicotine value and all the first nicotine values.

[0008] A selection and feeding matching model is constructed according to the first nicotine ratio, and all the first tobacco leaves to be processed are subjected to selection processing according to the selection and feeding matching model to obtain at least two groups of second tobacco leaves to be processed.

[0009] A third nicotine value of each group of second tobacco leaves to be processed is detected, and a second nicotine ratio is obtained based on the second nicotine value and all the third nicotine values.

[0010] A threshing and feeding matching model is constructed according to the second nicotine ratio, and all the second tobacco leaves to be processed are subjected to threshing processing according to the threshing and feeding matching model.

[0011] In an optional implementation of the first aspect, the first nicotine proportion is obtained based on the second nicotine value and all the first nicotine values, including:

[0012] The low-nicotine interval, the medium-nicotine interval and the high-nicotine interval are sequentially divided based on the second nicotine value and a preset interval distance;

[0013] The number of the first nicotine values in the low-nicotine interval, the number of the first nicotine values in the medium-nicotine interval and the number of the first nicotine values in the high-nicotine interval are respectively counted, and the first nicotine proportion is obtained according to the ratio between the number of the first nicotine values corresponding to the low-nicotine interval, the number of the first nicotine values corresponding to the medium-nicotine interval and the number of the first nicotine values corresponding to the high-nicotine interval.

[0014] In another optional implementation of the first aspect, the selection and feeding matching model is constructed according to the first nicotine proportion, including:

[0015] When it is detected that the proportion coefficient corresponding to the medium-nicotine interval in the first nicotine proportion is greater than or equal to the sum of the proportion coefficients corresponding to the low-nicotine interval and the high-nicotine interval, a first selection coefficient is configured to all the first to-be-processed tobacco leaves corresponding to the medium-nicotine interval, and a second selection coefficient is configured to all the first to-be-processed tobacco leaves corresponding to the low-nicotine interval and the high-nicotine interval; wherein the first selection coefficient is greater than the second selection coefficient;

[0016] The selection and feeding matching model is constructed based on all the first to-be-processed tobacco leaves, the selection coefficients corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order;

[0017] When it is detected that the proportion coefficient corresponding to the medium-nicotine interval in the first nicotine proportion is less than the sum of the proportion coefficients corresponding to the low-nicotine interval and the high-nicotine interval, the second selection coefficient is configured to all the first to-be-processed tobacco leaves corresponding to the medium-nicotine interval, and the first selection coefficient is configured to all the first to-be-processed tobacco leaves corresponding to the low-nicotine interval and the high-nicotine interval;

[0018] The selection and feeding matching model is constructed based on all the first to-be-processed tobacco leaves, the selection coefficients corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order.

[0019] In another optional implementation of the first aspect, after obtaining the at least two groups of second to-be-processed tobacco leaves, before detecting the third nicotine value of each group of the second to-be-processed tobacco leaves, the method further includes:

[0020] Image recognition processing is performed on the tobacco leaves in each group of the second to-be-processed tobacco leaves to obtain tobacco leaf contour features;

[0021] When it is detected that the difference between the tobacco area corresponding to any one of the tobacco leaf contour features and the standard tobacco area of the batch of tobacco exceeds the preset difference threshold, the tobacco is rejected;

[0022] The second to-be-processed tobaccos are weighed;

[0023] The third nicotine value of each group of the second to-be-processed tobaccos is detected, including:

[0024] When it is detected that the weight values corresponding to each group of the second to-be-processed tobaccos are in the preset weight interval, the third nicotine value of each group of the second to-be-processed tobaccos is detected.

[0025] In another optional implementation of the first aspect, the third nicotine value of each group of the second to-be-processed tobaccos is detected, and the detection further includes:

[0026] When it is detected that the weight value corresponding to any one group of the second to-be-processed tobaccos is not in the preset weight interval, the to-be-filled tobacco is determined in the first to-be-processed tobacco corresponding to the medium nicotine interval;

[0027] The to-be-filled tobacco is added to the second to-be-processed tobacco whose weight value is not in the preset weight interval, so that the weight value of the second to-be-processed tobacco after the addition is in the preset weight interval;

[0028] The third nicotine value of each group of the second to-be-processed tobaccos is detected.

[0029] In another optional implementation of the first aspect, the second nicotine ratio is obtained based on the second nicotine value and all the third nicotine values, including:

[0030] The number of the third nicotine values in the low nicotine interval, the number of the third nicotine values in the medium nicotine interval, and the number of the third nicotine values in the high nicotine interval are respectively counted, and the second nicotine ratio is obtained according to the ratio between the number of the third nicotine values corresponding to the low nicotine interval, the number of the third nicotine values corresponding to the medium nicotine interval, and the number of the third nicotine values corresponding to the high nicotine interval.

[0031] In another optional implementation of the first aspect, the threshing and feeding matching model is constructed according to the second nicotine ratio, including:

[0032] When it is detected that the ratio between the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval in the second nicotine ratio and the proportion coefficient corresponding to the medium nicotine interval is less than a preset ratio threshold, the extrusion coefficient corresponding to the medium nicotine interval is determined in the preset database;

[0033] The threshing and feeding matching model is constructed based on all the second to-be-processed tobaccos and the extrusion coefficient.

[0034] In a second aspect, the embodiments of the present application provide a tobacco leaf selecting and threshing device based on nicotine homogenization, comprising:

[0035] A first processing module is configured to extract at least two groups of first tobacco leaves to be processed from the batch of tobacco leaves based on preset sampling parameters, and detect a first nicotine value of each group of the first tobacco leaves to be processed;

[0036] A second processing module is configured to perform mean value calculation on all the first nicotine values to obtain a second nicotine value, and obtain a first nicotine ratio based on the second nicotine value and all the first nicotine values;

[0037] A third processing module is configured to construct a selecting and feeding matching model according to the first nicotine ratio, and perform selecting processing on all the first tobacco leaves to be processed according to the selecting and feeding matching model to obtain at least two groups of second tobacco leaves to be processed;

[0038] A fourth processing module is configured to detect a third nicotine value of each group of the second tobacco leaves to be processed, and obtain a second nicotine ratio based on the second nicotine value and all the third nicotine values;

[0039] A fifth processing module is configured to construct a threshing and feeding matching model according to the second nicotine ratio, and perform threshing processing on all the second tobacco leaves to be processed according to the threshing and feeding matching model.

[0040] In a third aspect, the embodiments of the present application further provide a tobacco leaf selecting and threshing device based on nicotine homogenization, comprising a processor and a memory;

[0041] The processor is connected with the memory;

[0042] The memory is configured to store executable program codes;

[0043] The processor runs a program corresponding to the executable program codes by reading the executable program codes stored in the memory, so as to implement the tobacco leaf selecting and threshing method based on nicotine homogenization provided in the first aspect or any one of the implementation manners of the first aspect.

[0044] In a fourth aspect, the embodiments of the present application provide a computer storage medium, which stores a computer program, and the computer program comprises program instructions. When the program instructions are executed by a processor, the tobacco leaf selecting and threshing method based on nicotine homogenization provided in the first aspect or any one of the implementation manners of the first aspect can be implemented.

[0045] In the embodiment of the present application, at least two groups of first to-be-processed tobacco leaves can be extracted from batch tobacco based on preset sampling parameters during the leaf selection process of the leaf threshing and redrying process, and the first nicotine value of each group of first to-be-processed tobacco leaves is detected; the second nicotine value is obtained by mean calculation of all first nicotine values, and the first nicotine ratio is obtained based on the second nicotine value and all first nicotine values; the selection and feeding matching model is constructed according to the first nicotine ratio, and all first to-be-processed tobacco leaves are selected and processed according to the selection and feeding matching model to obtain at least two groups of second to-be-processed tobacco leaves; the third nicotine value of each group of second to-be-processed tobacco leaves is detected, and the second nicotine ratio is obtained based on the second nicotine value and all third nicotine values; the threshing and feeding matching model is constructed according to the second nicotine ratio, and all second to-be-processed tobacco leaves are threshed according to the threshing and feeding matching model. By calculating the nicotine value of the multiple groups of to-be-processed tobacco leaves extracted from the batch tobacco, and constructing the selection and feeding matching model combined with all nicotine values, the nicotine homogenization can be fully considered when the multiple groups of to-be-processed tobacco leaves are selected and processed; and the threshing and feeding matching model can also be constructed according to the nicotine value measured from the selected and processed tobacco leaves, so that the nicotine homogenization can be considered again when the selected and processed tobacco leaves are threshed, thereby ensuring that the nicotine homogenization effect of the cut tobacco product produced by the entire leaf threshing and redrying process is best. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0047] Figure 1 The overall flowchart of the tobacco leaf selection and threshing method based on nicotine homogenization provided by the embodiment of the present application;

[0048] Figure 2 The nicotine value index comparison table of the tobacco leaf selection and threshing method based on nicotine homogenization provided by the embodiment of the present application;

[0049] Figure 3 The structural schematic diagram of the tobacco leaf selection and threshing device based on nicotine homogenization provided by the embodiment of the present application;

[0050] Figure 4 The structural schematic diagram of another tobacco leaf selection and threshing device based on nicotine homogenization provided by the embodiment of the present application. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application.

[0052] In the following description, the terms "first", "second", etc. are used only for the purpose of description, and should not be interpreted in a relative way, implying or suggesting relative importance. The following description provides a number of embodiments of the present application, which can be replaced or combined with each other, so that the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, C, and another embodiment includes features B, D, the present application should also be considered to include embodiments comprising one or more of all other possible combinations of A, B, C, D, even if such embodiments can not be explicitly described in the following.

[0053] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes can be made in the function and arrangement of elements described. Various examples can omit, substitute, or add various procedures or components as appropriate. For instance, the methods described can be performed in an order different than described, and various steps can be added, omitted, or combined. Also, features described with respect to some examples can be combined in other examples.

[0054] See Figure 1 , Figure 1 A flowchart of a tobacco leaf picking and threshing method based on nicotine homogenization is shown.

[0055] As Figure 1 shown, the tobacco leaf picking and threshing method based on nicotine homogenization can at least include the following steps:

[0056] Step 102, extracting at least two groups of first to-be-processed tobacco leaves from batch tobacco leaves based on preset sampling parameters, and detecting a first nicotine value of each group of first to-be-processed tobacco leaves.

[0057] In the embodiments of the present application, the tobacco leaf picking and threshing method based on nicotine homogenization can be applied to, but is not limited to, a control terminal of a tobacco leaf production workshop, to calculate nicotine values of multiple groups of to-be-processed tobacco leaves extracted from batch tobacco leaves during a leaf selection link of a threshing and redrying process, and to construct a picking and feeding matching model based on all nicotine values, so that nicotine homogenization can be fully considered when the multiple groups of to-be-processed tobacco leaves are picked and processed. In addition, a threshing and feeding matching model can be constructed based on nicotine values measured from tobacco leaves after picking and processing, so that nicotine homogenization can be considered again when the tobacco leaves after picking and processing are threshed and processed, thereby ensuring that nicotine homogenization of cut tobacco products produced in the entire threshing and redrying process is optimal.

[0058] Specifically, in the process of the leaf selection link of the threshing and redrying process, the tobacco leaves meeting the optimal sampling requirement can be randomly extracted from the batch of tobacco leaves according to the preset sampling parameter, and the tobacco leaves meeting the optimal sampling requirement are divided into at least two groups of first to-be-processed tobacco leaves. The preset sampling parameter can be, but is not limited to, 10%, that is, 10% of the tobacco leaves in the batch of tobacco leaves are randomly extracted as the tobacco leaves meeting the optimal sampling requirement, and in the process of determining the preset sampling parameter, 10, 20, 30, 40, 50, 100, 200, 300, and 500 data can be randomly extracted from the preset 1000 original tobacco samples, and the extraction is performed 10 times, 15 times, 20 times, and 30 times, respectively, and then the average nicotine values corresponding to the 10, 20, 30, 40, 50, 100, 200, 300, and 500 data are calculated, so as to select the extraction number with higher data authenticity (according to the actual calculation, the extraction number with higher data authenticity is 30, 40, 50, 100, 200, 300, and 500) through the comparison result with the standard nicotine value; then the trend curve formed by the average nicotine values corresponding to the extraction number of 30, 40, 50, 100, 200, 300, and 500 is analyzed and processed to obtain the extraction number corresponding to the optimal sampling requirement, and then the preset sampling parameter can be obtained by calculating the ratio of the extraction number corresponding to the optimal sampling requirement to 1000.

[0059] It can be understood that in the process of dividing the tobacco leaves meeting the optimal sampling requirement into at least two groups of first to-be-processed tobacco leaves, the tobacco leaves meeting the optimal sampling requirement can be, but are not limited to, uniformly divided according to the tobacco leaf weight values, so as to ensure that the weight values of each group of first to-be-processed tobacco leaves tend to be consistent.

[0060] Further, after the at least two groups of first to-be-processed tobacco leaves are determined, the first nicotine values of each group of first to-be-processed tobacco leaves can be detected. In the process of detecting the nicotine value of the to-be-processed tobacco leaves, a solution containing nicotine can be extracted from each group of first to-be-processed tobacco leaves, the solution containing nicotine is subjected to chromatographic analysis processing, the nicotine content is quantitatively analyzed by using the standard curve method, and the nicotine value corresponding to the nicotine content can be determined in combination with the preset corresponding relationship, and the tobacco leaf nicotine value detection method in this embodiment is not limited thereto.

[0061] Step 104, mean value calculation is performed on all the first nicotine values to obtain a second nicotine value, and a first nicotine ratio is obtained based on the second nicotine value and all the first nicotine values.

[0062] Specifically, after detecting the first nicotine value of each group of first to-be-processed tobacco leaves, the first nicotine values of all the first to-be-processed tobacco leaves can be subjected to mean value calculation to obtain a second nicotine value for representing the average nicotine value of the batch of tobacco leaves, and at least two nicotine intervals can be determined in combination with the second nicotine value, so as to obtain the first nicotine proportion by counting the number of first nicotine values corresponding to each nicotine interval. Here, the at least two nicotine intervals can be, but are not limited to, a low nicotine interval with a lower nicotine value and a high nicotine interval with a higher nicotine value, or can also be a low nicotine interval with a lower nicotine value, a medium nicotine interval with a moderate nicotine value, and a high nicotine interval with a higher nicotine value, and the like.

[0063] As an option of the embodiment of the present application, obtaining the first nicotine proportion based on the second nicotine value and all the first nicotine values includes:

[0064] sequentially dividing the low nicotine interval, the medium nicotine interval and the high nicotine interval based on the second nicotine value and a preset interval distance;

[0065] counting the number of first nicotine values in the low nicotine interval, the number of first nicotine values in the medium nicotine interval and the number of first nicotine values in the high nicotine interval respectively, and obtaining the first nicotine proportion according to the ratio between the number of first nicotine values corresponding to the low nicotine interval, the number of first nicotine values corresponding to the medium nicotine interval and the number of first nicotine values corresponding to the high nicotine interval.

[0066] Specifically, in the process of obtaining the first nicotine ratio, a second nicotine value representing an average nicotine value of the batch of tobacco leaves can be taken as a middle value of a middle nicotine interval, and a preset interval distance can be used to calculate a starting nicotine value and an ending nicotine value corresponding to the middle nicotine interval. For example, the second nicotine value is a and the preset interval distance is b, and the middle nicotine interval can correspond to [a-b / 2, a+b / 2]. Then, according to the starting nicotine value corresponding to the middle nicotine interval and the preset interval distance, a low nicotine interval can be calculated. The starting nicotine value corresponding to the low nicotine interval is the difference between the starting nicotine value corresponding to the middle nicotine interval and the preset interval distance, and the ending nicotine value corresponding to the low nicotine interval is the starting nicotine value corresponding to the middle nicotine interval. For example, the preset interval distance is b and the middle nicotine interval corresponds to [a-b / 2, a+b / 2], and the low nicotine interval can correspond to [a-3b / 2, a-b / 2]. Then, according to the ending nicotine value corresponding to the middle nicotine interval and the preset interval distance, a high nicotine interval can be calculated. The starting nicotine value corresponding to the high nicotine interval is the ending nicotine value corresponding to the middle nicotine interval, and the ending nicotine value corresponding to the high nicotine interval is the sum of the ending nicotine value corresponding to the middle nicotine interval and the preset interval distance. For example, the preset interval distance is b and the middle nicotine interval corresponds to [a-b / 2, a+b / 2], and the high nicotine interval can correspond to [a+b / 2, a+3b / 2].

[0067] Then, after the low nicotine interval, the middle nicotine interval and the high nicotine interval are determined, the number of first nicotine values corresponding to the low nicotine interval, the middle nicotine interval and the high nicotine interval can be counted respectively according to each first nicotine value. The first nicotine ratio can be obtained by calculating the ratio between the number of first nicotine values corresponding to the low nicotine interval, the middle nicotine interval and the high nicotine interval.

[0068] Step 106, constructing a selection and feeding matching model according to the first nicotine ratio, and selecting and processing all first tobacco leaves to be processed according to the selection and feeding matching model to obtain at least two groups of second tobacco leaves to be processed.

[0069] Specifically, after obtaining the first nicotine proportion, a first selection feeding matching model of the first to-be-processed tobacco leaves with different selection coefficients and a selection order can be constructed based on the first nicotine proportion, so that the first to-be-processed tobacco leaves with different selection coefficients are selected and matched in sequence according to the selection order to obtain second to-be-processed tobacco leaves that meet the nicotine homogenization. Here, the selection feeding matching model can be understood as a processing manner of selecting and matching all the first to-be-processed tobacco leaves, for example, extracting a certain number of tobacco leaves from the first to-be-processed tobacco leaves in the low nicotine interval, the first to-be-processed tobacco leaves in the medium nicotine interval and the first to-be-processed tobacco leaves in the high nicotine interval in a preset low-medium-high selection order, and the ratio of the number of tobacco leaves extracted in each nicotine interval needs to meet the selection coefficient of the corresponding nicotine interval, until the weight of all extracted tobacco leaves reaches a preset weight threshold, all extracted tobacco leaves are taken as a group of second to-be-processed tobacco leaves for subsequent threshing and redrying processing.

[0070] As another optional embodiment of the present application, constructing the selection feeding matching model according to the first nicotine proportion comprises:

[0071] When it is detected that the proportion coefficient corresponding to the medium nicotine interval in the first nicotine proportion is greater than or equal to the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, a first selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval, and a second selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval; wherein the first selection coefficient is greater than the second selection coefficient;

[0072] Constructing the selection feeding matching model based on all the first to-be-processed tobacco leaves, the selection coefficient corresponding to each group of first to-be-processed tobacco leaves and the preset selection order;

[0073] When it is detected that the proportion coefficient corresponding to the medium nicotine interval in the first nicotine proportion is less than the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, a second selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval, and a first selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval;

[0074] Constructing the selection feeding matching model based on all the first to-be-processed tobacco leaves, the selection coefficient corresponding to each group of first to-be-processed tobacco leaves and the preset selection order.

[0075] Specifically, in the process of constructing the selection and feeding matching model, after determining the first nicotine ratio, when it is detected that the proportion coefficient corresponding to the medium nicotine interval in the first nicotine ratio is greater than or equal to the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, it indicates that the weight of all first tobacco leaves in the medium nicotine interval is relatively large, and then the medium nicotine interval can be selected as the reference for nicotine homogenization. All first tobacco leaves corresponding to the medium nicotine interval are configured with a relatively large first selection coefficient, and all first tobacco leaves corresponding to the low nicotine interval and the high nicotine interval are configured with a relatively small second selection coefficient. Here, taking the first nicotine ratio that can be expressed as a:b:c as an example, when b is greater than or equal to a+c, the first selection coefficient 0.6 can be configured for all first tobacco leaves corresponding to the medium nicotine interval, and the second selection coefficient 0.4 can be configured for all first tobacco leaves corresponding to the low nicotine interval and the high nicotine interval, that is, each group of second tobacco leaves obtained after selection and processing contains 60% of first tobacco leaves with first nicotine values in the medium nicotine interval, and 40% of first tobacco leaves with first nicotine values in the low nicotine interval and the high nicotine interval, and the 40% of first tobacco leaves can be further divided into 20% of first tobacco leaves in the low nicotine interval and 20% of first tobacco leaves in the high nicotine interval.

[0076] Then, after determining the selection coefficient corresponding to each first tobacco leaf according to the first nicotine ratio, the processing method for selecting and matching all first tobacco leaves can be obtained in combination with the preset selection order, that is, the selection and feeding matching model is constructed. Here, taking an example of each group of second tobacco leaves containing 100 tobacco leaves, and the preset selection order being a low-medium-high selection order, when the proportion coefficient corresponding to the medium nicotine interval in the first nicotine ratio is greater than or equal to the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, the selection and feeding matching model can be that 2 tobacco leaves, 6 tobacco leaves and 2 tobacco leaves corresponding to the first tobacco leaves in the low nicotine interval, the medium nicotine interval and the high nicotine interval are randomly selected and stacked in sequence, and the stacking process is repeated ten times to obtain a group of second tobacco leaves.

[0077] It can also be understood that when it is detected that the proportion coefficient corresponding to the medium nicotine range in the first nicotine proportion is less than the sum of the proportion coefficients corresponding to the low nicotine range and the high nicotine range, it indicates that the weight of all the first tobacco leaves in the medium nicotine range is small, and then the low nicotine range and the high nicotine range can be selected as the reference for nicotine homogenization. A relatively small second selection coefficient is configured for all the first tobacco leaves corresponding to the medium nicotine range, and a relatively large first selection coefficient is configured for all the first tobacco leaves corresponding to the low nicotine range and the high nicotine range. Here, taking the first nicotine proportion that can be represented as a:b:c as an example, when b is less than a+c, a second selection coefficient of 0.4 can be configured for all the first tobacco leaves corresponding to the medium nicotine range, and a first selection coefficient of 0.6 can be configured for all the first tobacco leaves corresponding to the low nicotine range and the high nicotine range, that is, after the selection processing, each group of second tobacco leaves obtained contains 40% of the first tobacco leaves with the first nicotine value in the medium nicotine range, and 60% of the first tobacco leaves with the first nicotine value in the low nicotine range and the high nicotine range, and the 60% of the first tobacco leaves can be further divided into 30% of the first tobacco leaves in the low nicotine range and 30% of the first tobacco leaves in the high nicotine range.

[0078] Then, after determining the selection coefficient corresponding to each first tobacco leaf according to the first nicotine proportion, a processing method for selecting and matching all the first tobacco leaves can be obtained in combination with the preset selection order, that is, a selection and feeding matching model is constructed. Here, taking an example of a group of second tobacco leaves that can contain 100 tobacco leaves, and a preset selection order of low-medium-high selection order, when the proportion coefficient corresponding to the medium nicotine range in the first nicotine proportion is less than the sum of the proportion coefficients corresponding to the low nicotine range and the high nicotine range, the selection and feeding matching model can be that 3 tobacco leaves, 4 tobacco leaves and 3 tobacco leaves are randomly selected from the first tobacco leaves corresponding to the low nicotine range, the medium nicotine range and the high nicotine range in turn for stacking processing, and the stacking processing is repeated ten times to obtain a group of second tobacco leaves.

[0079] As another optional embodiment of the present application, after obtaining at least two groups of second tobacco leaves, before detecting the third nicotine value of each group of second tobacco leaves, the method further comprises:

[0080] performing image recognition processing on the tobacco leaves in each group of second tobacco leaves to obtain tobacco leaf contour features;

[0081] when it is detected that the difference between the tobacco leaf area corresponding to any one tobacco leaf contour feature and the standard tobacco leaf area of the batch of tobacco leaves exceeds the preset difference threshold, performing rejection processing on the tobacco leaf;

[0082] performing weighing processing on all the second tobacco leaves;

[0083] detecting the third nicotine value of each group of the second to-be-processed tobacco leaves, comprising:

[0084] When it is detected that the weight values corresponding to each group of the second to-be-processed tobacco leaves are in the preset weight interval, the third nicotine value of each group of the second to-be-processed tobacco leaves is detected.

[0085] In order to guarantee the quality of the tobacco leaves contained in the second to-be-processed tobacco leaves after the selection and proportioning processing, image recognition processing can also be performed on the tobacco leaves contained in each group of the second to-be-processed tobacco leaves to identify the contour features corresponding to each tobacco leaf, and when it is detected that the difference between the area of the tobacco leaf corresponding to any one of the contour features in each group of the second to-be-processed tobacco leaves and the standard tobacco leaf area of the batch of tobacco leaves exceeds the preset difference threshold value, it indicates that the tobacco leaf may be a defective tobacco leaf, and the tobacco leaf can be removed. Here, during the selection processing of all the first to-be-processed tobacco leaves according to the selection and proportioning model, the tobacco leaves randomly extracted from each group of the first to-be-processed tobacco leaves can be directly subjected to image recognition processing, so as to further improve the image processing efficiency and the overall threshing and redrying process efficiency.

[0086] Then, after the second to-be-processed tobacco leaves that may contain defective tobacco leaves are removed, all the second to-be-processed tobacco leaves can be subjected to weight processing to determine whether the weight values of each group of the second to-be-processed tobacco leaves meet the requirements. It can be understood that when it is detected that the weight values corresponding to each group of the second to-be-processed tobacco leaves are in the preset weight interval, it indicates that the weight values of each group of the second to-be-processed tobacco leaves meet the requirements, and then the nicotine values of each group of the second to-be-processed tobacco leaves can be detected.

[0087] When it is detected that the weight value corresponding to any one of the second to-be-processed tobacco leaves is not in the preset weight interval, it indicates that the weight value of the second to-be-processed tobacco leaves after the tobacco leaf removal processing cannot meet the requirements, and then in order to guarantee the overall nicotine homogenization effect, the second to-be-processed tobacco leaves can be added to the first to-be-processed tobacco leaves corresponding to the middle nicotine interval, and the weight value of the second to-be-processed tobacco leaves and the weight value of the added tobacco leaves need to be in the preset weight interval, so that the weight value of the second to-be-processed tobacco leaves after the addition processing is in the preset weight interval, and then the nicotine values of each group of the second to-be-processed tobacco leaves can be detected.

[0088] Here, reference can also be made to Figure 2 The nicotine value index comparison table of the tobacco leaf selection and threshing method based on nicotine homogenization provided by the embodiments of the present application is shown as follows: Figure 2As shown in Table 2a, the nicotine value of the to-be-processed tobacco leaves obtained by the prior art in the conventional static selection process is 15.17, and the nicotine value of the to-be-processed tobacco leaves obtained by the nicotine homogenization selection process of the present application is 6.61. It can be clearly seen that the nicotine homogenization effect brought by the nicotine homogenization selection process of the present application is better.

[0089] Step 108, detecting the third nicotine value of each group of second to-be-processed tobacco leaves, and obtaining the second nicotine ratio based on the second nicotine value and all third nicotine values.

[0090] Specifically, after the selection process of all first to-be-processed tobacco leaves according to the selection and feeding matching model, at least two groups of second to-be-processed tobacco leaves are obtained, and the third nicotine value of each group of second to-be-processed tobacco leaves can be detected respectively. In the process of detecting the nicotine value of the to-be-processed tobacco leaves, a solution containing nicotine can be extracted from each group of second to-be-processed tobacco leaves, and the nicotine content can be quantitatively analyzed by chromatographic analysis of the solution containing nicotine by using the standard curve method, and the nicotine value corresponding to the nicotine content can be determined by combining the preset corresponding relationship, and the nicotine value detection method of tobacco leaves in the present application is not limited to this.

[0091] Further, after detecting the third nicotine value of each group of second to-be-processed tobacco leaves, at least two nicotine intervals can be determined based on the second nicotine value, but not limited to the above-mentioned embodiments, and the second nicotine ratio can be obtained by counting the number of third nicotine values corresponding to each nicotine interval.

[0092] As another optional embodiment of the present application, the second nicotine ratio is obtained based on the second nicotine value and all third nicotine values, which includes:

[0093] The number of third nicotine values in the low nicotine interval, the number of third nicotine values in the medium nicotine interval, and the number of third nicotine values in the high nicotine interval are counted respectively, and the second nicotine ratio is obtained according to the ratio between the number of third nicotine values corresponding to the low nicotine interval, the number of third nicotine values corresponding to the medium nicotine interval, and the number of third nicotine values corresponding to the high nicotine interval.

[0094] Specifically, the specific processing process of obtaining the second nicotine ratio can refer to one or more of the above-mentioned embodiments, which will not be described in detail here.

[0095] Step 110, constructing a threshing and feeding matching model according to the second nicotine ratio, and performing threshing processing on all second to-be-processed tobacco leaves according to the threshing and feeding matching model.

[0096] Specifically, after obtaining the second nicotine proportion, the nicotine interval with the largest number of second tobacco leaves to be processed can be determined according to the proportion coefficients corresponding to the nicotine intervals in the second nicotine proportion, that is, it can be considered that the nicotine values of all the second tobacco leaves to be processed are in the nicotine interval, and a corresponding extrusion coefficient is obtained based on the nicotine interval, to construct a threshing and feeding collocation model for threshing all the second tobacco leaves to be processed by combining the preset extrusion mode and the extrusion coefficient. Here, the threshing and feeding collocation model can be understood as a tobacco extrusion mode set according to the threshing requirement, which can include, but is not limited to, a preset extrusion device, an extrusion time, and an extrusion coefficient determined according to the nicotine interval. For example, but not limited to, each group of second tobacco leaves to be processed is placed in a preset extrusion device, and the extrusion device is controlled to perform extrusion and threshing on each group of second tobacco leaves to be processed by using the set extrusion time and the determined extrusion coefficient.

[0097] Further, after the threshing and feeding collocation model is constructed, the corresponding extrusion device can be controlled to perform extrusion and threshing on all the second tobacco leaves to be processed according to the threshing and feeding collocation model, so as to promote the penetration of water in the tobacco, and facilitate the evaporation of water and the drying of the tobacco.

[0098] As another optional embodiment of the present application, the construction of the threshing and feeding collocation model according to the second nicotine proportion includes:

[0099] When the ratio of the sum of the proportion coefficients corresponding to the low-nicotine interval and the high-nicotine interval in the second nicotine proportion to the proportion coefficient corresponding to the medium-nicotine interval is less than a preset ratio threshold, the extrusion coefficient corresponding to the medium-nicotine interval is determined in the preset database.

[0100] The threshing and feeding collocation model is constructed based on all the second tobacco leaves to be processed and the extrusion coefficient.

[0101] Specifically, in the process of constructing the threshing and feeding collocation model, when the ratio of the sum of the proportion coefficients corresponding to the low-nicotine interval and the high-nicotine interval in the second nicotine proportion to the proportion coefficient corresponding to the medium-nicotine interval is less than a preset ratio threshold, it indicates that the nicotine values of most of the second tobacco leaves to be processed are in the medium-nicotine interval, and thus it can be considered that the nicotine values of all the second tobacco leaves to be processed are in the medium-nicotine interval, and the extrusion coefficient corresponding to the medium-nicotine interval is determined in the preset database, to construct a threshing and feeding collocation model for controlling the extrusion device to perform extrusion and threshing on all the second tobacco leaves to be processed by combining the preset extrusion device and the extrusion time. It can be understood that the preset database contains standard extrusion coefficients corresponding to each nicotine interval, which can be obtained by big data analysis or artificial summary.

[0102] Of course, in the embodiments of the present application, the ratio of the sum of the proportion coefficients corresponding to the medium nicotine range and the low nicotine range in the second nicotine proportion to the proportion coefficient corresponding to the high nicotine range, or the ratio of the sum of the proportion coefficients corresponding to the high nicotine range and the medium nicotine range in the second nicotine proportion to the proportion coefficient corresponding to the low nicotine range, can also be detected, but is not limited to, to accurately determine the nicotine range in which the nicotine value of most of the second to-be-processed tobacco leaves is located.

[0103] Herein Figure 2 The nicotine value index comparison table of the tobacco leaf selection and threshing method based on nicotine homogenization provided by the embodiments of the present application is shown in the 2b table in Figure 2 The nicotine value detected after the tobacco leaves not subjected to selection processing in the prior art are subjected to threshing processing is 3.37, the nicotine value detected after the to-be-processed tobacco leaves obtained by the conventional static selection processing are subjected to threshing processing is 3.08, and the nicotine value detected after the to-be-processed tobacco leaves obtained by the nicotine homogenization selection processing of the present application are subjected to threshing processing is 2.42. It can be obviously seen that the nicotine homogenization effect brought by the nicotine homogenization selection processing of the present application is better.

[0104] Please refer to Figure 3 , Figure 3 The structure schematic diagram of the tobacco leaf selection and threshing device based on nicotine homogenization provided by the embodiments of the present application is shown.

[0105] As shown in Figure 3 The tobacco leaf selection and threshing device based on nicotine homogenization can at least include a first processing module 301, a second processing module 302, a third processing module 303, a fourth processing module 304, and a fifth processing module 305, wherein:

[0106] The first processing module 301 is configured to extract at least two groups of first to-be-processed tobacco leaves from the batch of tobacco leaves based on a preset sampling parameter, and detect a first nicotine value of each group of first to-be-processed tobacco leaves;

[0107] The second processing module 302 is configured to perform mean value calculation on all the first nicotine values to obtain a second nicotine value, and obtain a first nicotine proportion based on the second nicotine value and all the first nicotine values;

[0108] The third processing module 303 is configured to construct a selection and feeding matching model according to the first nicotine proportion, and perform selection processing on all the first to-be-processed tobacco leaves according to the selection and feeding matching model to obtain at least two groups of second to-be-processed tobacco leaves;

[0109] The fourth processing module 304 is configured to detect a third nicotine value of each group of the second to-be-processed tobacco leaves, and obtain a second nicotine ratio based on the second nicotine value and all the third nicotine values.

[0110] The fifth processing module 305 is configured to construct a threshing and feeding matching model according to the second nicotine ratio, and perform threshing processing on all the second to-be-processed tobacco leaves according to the threshing and feeding matching model.

[0111] In some possible embodiments, the first nicotine ratio is obtained based on the second nicotine value and all the first nicotine values, and includes:

[0112] The second nicotine value and a preset interval distance are used to sequentially divide a low nicotine interval, a medium nicotine interval and a high nicotine interval;

[0113] The number of the first nicotine values in the low nicotine interval, the number of the first nicotine values in the medium nicotine interval and the number of the first nicotine values in the high nicotine interval are respectively counted, and the first nicotine ratio is obtained according to the ratio between the number of the first nicotine values corresponding to the low nicotine interval, the number of the first nicotine values corresponding to the medium nicotine interval and the number of the first nicotine values corresponding to the high nicotine interval.

[0114] In some possible embodiments, the selection and feeding matching model is constructed according to the first nicotine ratio, and includes:

[0115] When it is detected that the proportion coefficient corresponding to the medium nicotine interval of the first nicotine ratio is greater than or equal to the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, a first selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval, and a second selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval; wherein the first selection coefficient is greater than the second selection coefficient.

[0116] The selection and feeding matching model is constructed based on all the first to-be-processed tobacco leaves, the selection coefficients corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order.

[0117] When it is detected that the proportion coefficient corresponding to the medium nicotine interval of the first nicotine ratio is less than the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, the second selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval, and the first selection coefficient is configured for all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval.

[0118] The selection and feeding matching model is constructed based on all the first to-be-processed tobacco leaves, the selection coefficients corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order.

[0119] In some possible embodiments, after obtaining the at least two groups of second tobacco leaves to be processed, before detecting the third nicotine value of each group of second tobacco leaves to be processed, the method further includes:

[0120] performing image recognition processing on the tobacco leaves in each group of second tobacco leaves to be processed to obtain tobacco leaf contour features;

[0121] when detecting that the difference between the area of the tobacco leaf corresponding to any one of the tobacco leaf contour features and the standard tobacco leaf area of the batch of tobacco leaves exceeds the preset difference threshold, performing rejection processing on the tobacco leaf;

[0122] performing weighing processing on all the second tobacco leaves to be processed;

[0123] detecting the third nicotine value of each group of second tobacco leaves to be processed includes:

[0124] when detecting that the weighing value corresponding to each group of second tobacco leaves to be processed is in the preset weighing interval, detecting the third nicotine value of each group of second tobacco leaves to be processed.

[0125] In some possible embodiments, detecting the third nicotine value of each group of second tobacco leaves to be processed further includes:

[0126] when detecting that the weighing value corresponding to any one group of second tobacco leaves to be processed is not in the preset weighing interval, determining the tobacco leaves to be filled in the first tobacco leaves to be processed corresponding to the medium nicotine interval;

[0127] adding the tobacco leaves to be filled to the second tobacco leaves to be processed whose weighing value is not in the preset weighing interval, so that the weighing value of the second tobacco leaves to be processed after the adding processing is in the preset weighing interval;

[0128] detecting the third nicotine value of each group of second tobacco leaves to be processed.

[0129] In some possible embodiments, obtaining the second nicotine ratio based on the second nicotine value and all the third nicotine values includes:

[0130] respectively counting the number of third nicotine values in the low nicotine interval, the number of third nicotine values in the medium nicotine interval, and the number of third nicotine values in the high nicotine interval, and obtaining the second nicotine ratio according to the ratio between the number of third nicotine values corresponding to the low nicotine interval, the number of third nicotine values corresponding to the medium nicotine interval, and the number of third nicotine values corresponding to the high nicotine interval.

[0131] In some possible embodiments, constructing a threshing and feeding collocation model according to the second nicotine ratio includes:

[0132] When it is detected that the ratio of the sum of the proportionality coefficients corresponding to the low nicotine interval and the high nicotine interval in the second nicotine proportion to the proportionality coefficient corresponding to the medium nicotine interval is less than a preset ratio threshold, the extrusion coefficient corresponding to the medium nicotine interval is determined in the preset database;

[0133] A threshing and feeding matching model is constructed based on all the second to-be-processed tobacco leaves and the extrusion coefficient.

[0134] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "unit" and "module" in the specification refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, and the hardware may, for example, be a field programmable gate array (FPGA), an integrated circuit (IC), and the like.

[0135] Next, please refer to Figure 4 , Figure 4 A structure diagram of another tobacco selecting and threshing device based on nicotine homogenization provided by an embodiment of the present application is shown.

[0136] As Figure 4 shown, the tobacco selecting and threshing device based on nicotine homogenization 400 can include at least one processor 401, at least one network interface 404, a user interface 403, a memory 405, and at least one communication bus 402.

[0137] The communication bus 402 can be used to realize the connection and communication of the above-mentioned various components.

[0138] The user interface 403 can include a key, and the optional user interface can further include a standard wired interface, a wireless interface.

[0139] The network interface 404 can include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, and the like.

[0140] The processor 401 can include one or more processing cores. The processor 401 connects various parts in the tobacco leaf picking and cutting device 400 based on nicotine homogenization by using various interfaces and lines, performs various functions of the tobacco leaf picking and cutting device 400 based on nicotine homogenization and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Alternatively, the processor 401 can be implemented in at least one of a hardware form of a DSP, an FPGA, and a PLA. The processor 401 can integrate one or a combination of a CPU, a GPU, and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content required to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 401, but can be implemented by a separate chip.

[0141] The memory 405 can include a RAM and can also include a ROM. Alternatively, the memory 405 includes a non-transitory computer readable medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 405 can alternatively be at least one storage device located away from the aforementioned processor 401. As shown in the figure, the memory 405 as a computer storage medium can include an operating system, a network communication module, a user interface module, and a tobacco leaf picking and cutting application based on nicotine homogenization. Figure 4 The processor 401 can be used to call the tobacco leaf picking and cutting application based on nicotine homogenization stored in the memory 405, and specifically perform the following operations:

[0142] Specifically, the processor 401 can be used to call the tobacco leaf picking and cutting application based on nicotine homogenization stored in the memory 405, and specifically perform the following operations:

[0143] Extract at least two groups of first tobacco leaves to be processed from the batch of tobacco leaves based on the preset sampling parameters, and detect the first nicotine value of each group of first tobacco leaves to be processed;

[0144] Perform mean value calculation on all first nicotine values to obtain a second nicotine value, and obtain a first nicotine ratio based on the second nicotine value and all first nicotine values;

[0145] Construct a picking and feeding collocation model according to the first nicotine ratio, and perform picking processing on all first tobacco leaves to be processed according to the picking and feeding collocation model to obtain at least two groups of second tobacco leaves to be processed.

[0146] detecting a third nicotine value of each group of the second to-be-processed tobacco leaves, and obtaining a second nicotine ratio based on the second nicotine value and all the third nicotine values;

[0147] constructing a threshing and feeding collocation model according to the second nicotine ratio, and performing threshing treatment on all the second to-be-processed tobacco leaves according to the threshing and feeding collocation model.

[0148] In some possible embodiments, the first nicotine ratio is obtained based on the second nicotine value and all the first nicotine values, and includes:

[0149] dividing, based on the second nicotine value and a preset interval distance, a low nicotine interval, a medium nicotine interval and a high nicotine interval in sequence;

[0150] respectively counting a number of the first nicotine values in the low nicotine interval, a number of the first nicotine values in the medium nicotine interval and a number of the first nicotine values in the high nicotine interval, and obtaining the first nicotine ratio according to a ratio between the number of the first nicotine values corresponding to the low nicotine interval, the number of the first nicotine values corresponding to the medium nicotine interval and the number of the first nicotine values corresponding to the high nicotine interval.

[0151] In some possible embodiments, the selection and feeding collocation model is constructed according to the first nicotine ratio, and includes:

[0152] when it is detected that the proportion coefficient corresponding to the medium nicotine interval in the first nicotine ratio is greater than or equal to a sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, configuring all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval with a first selection coefficient, and configuring all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval with a second selection coefficient; wherein the first selection coefficient is greater than the second selection coefficient;

[0153] constructing the selection and feeding collocation model based on all the first to-be-processed tobacco leaves, the selection coefficient corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order;

[0154] when it is detected that the proportion coefficient corresponding to the medium nicotine interval in the first nicotine ratio is less than the sum of the proportion coefficients corresponding to the low nicotine interval and the high nicotine interval, configuring all the first to-be-processed tobacco leaves corresponding to the medium nicotine interval with the second selection coefficient, and configuring all the first to-be-processed tobacco leaves corresponding to the low nicotine interval and the high nicotine interval with the first selection coefficient;

[0155] constructing the selection and feeding collocation model based on all the first to-be-processed tobacco leaves, the selection coefficient corresponding to each group of the first to-be-processed tobacco leaves and a preset selection order.

[0156] In some possible embodiments, after obtaining the at least two groups of second to-be-processed tobaccos, before detecting the third nicotine value of each group of second to-be-processed tobaccos, the method further includes:

[0157] performing image recognition processing on the tobaccos in each group of second to-be-processed tobaccos to obtain tobacco contour features;

[0158] when detecting that the difference between the tobacco area corresponding to any one tobacco contour feature and the standard tobacco area of the batch of tobaccos exceeds the preset difference threshold, performing rejection processing on the tobacco;

[0159] performing weighing processing on all the second to-be-processed tobaccos;

[0160] detecting the third nicotine value of each group of second to-be-processed tobaccos includes:

[0161] when detecting that the weighing value corresponding to each group of second to-be-processed tobaccos is in the preset weighing interval, detecting the third nicotine value of each group of second to-be-processed tobaccos.

[0162] In some possible embodiments, detecting the third nicotine value of each group of second to-be-processed tobaccos further includes:

[0163] when detecting that the weighing value corresponding to any one group of second to-be-processed tobaccos is not in the preset weighing interval, determining the to-be-filled tobacco in the first to-be-processed tobacco corresponding to the medium nicotine interval;

[0164] adding the to-be-filled tobacco to the second to-be-processed tobacco whose weighing value is not in the preset weighing interval, so that the weighing value of the second to-be-processed tobacco after the adding processing is in the preset weighing interval;

[0165] detecting the third nicotine value of each group of second to-be-processed tobaccos.

[0166] In some possible embodiments, obtaining the second nicotine ratio based on the second nicotine value and all the third nicotine values includes:

[0167] respectively counting the number of third nicotine values in the low nicotine interval, the number of third nicotine values in the medium nicotine interval, and the number of third nicotine values in the high nicotine interval, and obtaining the second nicotine ratio according to the ratio between the number of third nicotine values corresponding to the low nicotine interval, the number of third nicotine values corresponding to the medium nicotine interval, and the number of third nicotine values corresponding to the high nicotine interval.

[0168] In some possible embodiments, constructing a threshing and feeding collocation model according to the second nicotine ratio includes:

[0169] When it is detected that the ratio of the sum of the proportionality coefficients corresponding to the low nicotine interval and the high nicotine interval in the second nicotine proportion to the proportionality coefficient corresponding to the medium nicotine interval is less than a preset ratio threshold, the extrusion coefficient corresponding to the medium nicotine interval is determined in the preset database;

[0170] A threshing and feeding collocation model is constructed based on all the second to-be-processed tobacco leaves and the extrusion coefficient.

[0171] The application further provides a computer readable storage medium, which stores a computer program. The program is executed by a processor to implement the steps of the method. The computer readable storage medium can include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0172] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a series of action combinations, but those skilled in the art should know that the application is not limited to the action sequence described, because according to the application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the application.

[0173] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0174] In the several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units is only a logical function division. There can be another division manner for actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some services, devices or units, and can be electrical or other forms.

[0175] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0176] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0177] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part of the prior art that contributes to the present application, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the method of the present application. The aforementioned memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

Claims

1. A tobacco leaf selection and threshing method based on nicotine homogenization, characterized in that: include: extracting at least two groups of first tobacco leaves to be processed from a batch of tobacco leaves based on preset sampling parameters, and detecting a first nicotine value of each group of the first tobacco leaves to be processed; Calculating an average of all the first nicotine values ​​to obtain a second nicotine value, and obtaining a first nicotine ratio based on the second nicotine value and all the first nicotine values; Constructing a material selection and matching model according to the first nicotine ratio, and performing selection and processing on all the first tobacco leaves to be processed according to the material selection and matching model to obtain at least two groups of second tobacco leaves to be processed; detecting a third nicotine value of each group of the second tobacco leaves to be processed, and obtaining a second nicotine ratio based on the second nicotine value and all the third nicotine values; constructing a threshing and feeding matching model according to the second nicotine ratio, and threshing all the second tobacco leaves to be processed according to the threshing and feeding matching model; Wherein, obtaining a first nicotine ratio based on the second nicotine value and all the first nicotine values ​​includes: Based on the second nicotine value and the preset interval distance, the interval is divided into a low nicotine interval, a medium nicotine interval, and a high nicotine interval; respectively counting the number of the first nicotine values ​​in the low nicotine range, the number of the first nicotine values ​​in the medium nicotine range, and the number of the first nicotine values ​​in the high nicotine range, and obtaining a first nicotine ratio based on a ratio among the number of the first nicotine values ​​corresponding to the low nicotine range, the number of the first nicotine values ​​corresponding to the medium nicotine range, and the number of the first nicotine values ​​corresponding to the high nicotine range; The step of constructing a feed selection and matching model according to the first nicotine ratio includes: When it is detected that the proportional coefficient corresponding to the medium nicotine range in the first nicotine ratio is greater than or equal to the sum of the proportional coefficients corresponding to the low nicotine range and the high nicotine range, a first selection coefficient is configured for all the first tobacco leaves to be processed corresponding to the medium nicotine range, and a second selection coefficient is configured for all the first tobacco leaves to be processed corresponding to the low nicotine range and the high nicotine range; wherein the first selection coefficient is greater than the second selection coefficient; Constructing a selection and feeding matching model based on all the first tobacco leaves to be processed, the selection coefficient corresponding to each group of the first tobacco leaves to be processed, and a preset selection order; When it is detected that the proportional coefficient corresponding to the medium nicotine range in the first nicotine ratio is less than the sum of the proportional coefficients corresponding to the low nicotine range and the high nicotine range, the second selection coefficient is configured for all the first tobacco leaves to be processed corresponding to the medium nicotine range, and the first selection coefficient is configured for all the first tobacco leaves to be processed corresponding to the low nicotine range and the high nicotine range; Constructing a selection and feeding matching model based on all the first tobacco leaves to be processed, the selection coefficient corresponding to each group of the first tobacco leaves to be processed, and the preset selection order; The obtaining a second nicotine ratio based on the second nicotine value and all the third nicotine values ​​comprises: respectively counting the number of the third nicotine value in the low nicotine range, the number of the third nicotine value in the medium nicotine range, and the number of the third nicotine value in the high nicotine range, and obtaining a second nicotine ratio based on a ratio among the number of the third nicotine value corresponding to the low nicotine range, the number of the third nicotine value corresponding to the medium nicotine range, and the number of the third nicotine value corresponding to the high nicotine range; The step of constructing a leaf threshing and feeding matching model according to the second nicotine ratio includes: When it is detected that the ratio of the sum of the proportional coefficients corresponding to the low nicotine range and the high nicotine range in the second nicotine ratio to the proportional coefficient corresponding to the medium nicotine range is less than a preset ratio threshold, determining the squeezing coefficient corresponding to the medium nicotine range from a preset database; A leaf threshing and feeding matching model is constructed based on all the second tobacco leaves to be processed and the extrusion coefficient. The leaf threshing and feeding matching model is a tobacco leaf extrusion mode set according to the leaf threshing requirements.

2. The method according to claim 1, characterized in that After obtaining at least two groups of second tobacco leaves to be processed and before detecting the third nicotine value of each group of the second tobacco leaves to be processed, the method further includes: performing image recognition processing on the tobacco leaves in each group of the second tobacco leaves to be processed to obtain contour features of the tobacco leaves; When it is detected that the difference between the tobacco leaf area corresponding to any one of the tobacco leaf contour features and the standard tobacco leaf area of ​​the batch of tobacco leaves exceeds a preset difference threshold, the tobacco leaves are rejected; Weighing all the second tobacco leaves to be processed; The detecting of the third nicotine value of each group of the second tobacco leaves to be processed comprises: When it is detected that the weighing values ​​corresponding to each group of the second tobacco leaves to be processed are all within a preset weighing range, the third nicotine value of each group of the second tobacco leaves to be processed is detected.

3. The method according to claim 2, characterized in that The detecting of the third nicotine value of each group of the second tobacco leaves to be processed further comprises: When it is detected that the weighing value corresponding to any group of the second tobacco leaves to be processed is not within the preset weighing range, determining the tobacco leaves to be filled from the first tobacco leaves to be processed corresponding to the medium nicotine range; adding the tobacco leaves to be filled into the second tobacco leaves to be processed whose weighing values ​​are not within the preset weighing interval, so that the weighing values ​​of the second tobacco leaves to be processed after the addition process are within the preset weighing interval; The third nicotine value of each group of the second tobacco leaves to be processed is detected.

4. A tobacco leaf sorting and beating device based on nicotine homogenization, characterized in that: The device is applied to the tobacco leaf selection and threshing method based on nicotine homogenization according to any one of claims 1 to 3, and the device comprises: a first processing module, configured to extract at least two groups of first tobacco leaves to be processed from a batch of tobacco leaves based on preset sampling parameters, and detect a first nicotine value of each group of the first tobacco leaves to be processed; a second processing module, configured to calculate an average of all the first nicotine values ​​to obtain a second nicotine value, and obtain a first nicotine ratio based on the second nicotine value and all the first nicotine values; a third processing module, configured to construct a material selection and matching model according to the first nicotine ratio, and perform selection processing on all the first tobacco leaves to be processed according to the material selection and matching model to obtain at least two groups of second tobacco leaves to be processed; a fourth processing module, configured to detect a third nicotine value of each group of the second tobacco leaves to be processed, and obtain a second nicotine ratio based on the second nicotine value and all the third nicotine values; The fifth processing module is used to construct a threshing and feeding matching model according to the second nicotine ratio, and thresh all the second tobacco leaves to be processed according to the threshing and feeding matching model.

5. A tobacco leaf picking and threshing device based on nicotine homogenization, characterized in that: including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 3.

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