Method and device for determining tobacco leaf moistening effect, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a method and device for determining the tobacco leaf moistening effect, electronic equipment and a storage medium. The method comprises the following steps: obtaining a to-be-analyzed tobacco leaf material; wherein the tobacco leaf materials to be analyzed comprise large-fragment tobacco leaf materials and small-fragment tobacco leaf materials; determining a material flow corresponding to each tobacco leaf material according to the material weights of the to-be-analyzed tobacco leaf material, the large-fragment tobacco leaf material and the small-fragment tobacco leaf material; according to the total material flow, the large fragment material flow and the small fragment material flow, determining a fragment flow score corresponding to the tobacco leaf material to be analyzed; and based on the flow score interval corresponding to the fragment flow score, determining a tobacco leaf moistening effect grade corresponding to the to-be-analyzed tobacco leaf material. The tobacco leaf moistening effect of the tobacco leaf materials is determined by statistically analyzing the material flow of the large-fragment tobacco leaf materials and the small-fragment tobacco leaf materials in the tobacco leaf materials, so that the tobacco leaf moistening effect of the tobacco leaf materials is determined more quickly and accurately in the tobacco processing process.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of tobacco processing, and in particular to a method, device, electronic device and storage medium for determining the moisturizing effect of tobacco leaves. Background Art

[0002] In the field of leaf threshing and re-drying manufacturing, leaf moistening is a very important part of the leaf threshing and re-drying process. The effect of leaf moistening directly affects the subsequent leaf threshing process and product quality.

[0003] At present, the moistening effect of tobacco materials is mostly determined by manual judgment, but this method is highly subjective, and the recognition efficiency of the moistening effect of tobacco materials is low, and there is a problem of inaccurate recognition results.

[0004] In order to solve the above problems, it is necessary to improve the method of determining the tobacco leaf moisturizing effect. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for determining the tobacco leaf moisturizing effect, so as to solve the problem that the tobacco leaf moisturizing effect of tobacco materials usually needs to be determined manually in the prior art, and there is a low efficiency and poor accuracy in identifying the tobacco leaf moisturizing effect.

[0006] In a first aspect, an embodiment of the present invention provides a method for determining a tobacco leaf moisturizing effect, comprising:

[0007] Obtaining tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials;

[0008] Determine the material flow rate corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragmented tobacco material and the small-fragmented tobacco material; wherein the material flow rate is the total material flow rate corresponding to the tobacco material to be analyzed, the large-fragmented material flow rate corresponding to the large-fragmented tobacco material, or the small-fragmented material flow rate corresponding to the small-fragmented tobacco material;

[0009] Determining a fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow, and the small fragment material flow;

[0010] Based on the flow score interval corresponding to the fragment flow score, the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is determined.

[0011] In a second aspect, an embodiment of the present invention further provides a device for determining a tobacco leaf moisturizing effect, comprising:

[0012] A material acquisition module is used to acquire tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials;

[0013] A material flow determination module, used to determine the material flow corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragment tobacco material and the small-fragment tobacco material; wherein the material flow is the total material flow corresponding to the tobacco material to be analyzed, the large-fragment material flow corresponding to the large-fragment tobacco material, or the small-fragment material flow corresponding to the small-fragment tobacco material;

[0014] A flow score determination module, used to determine the fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow and the small fragment material flow;

[0015] The effect level determination module is used to determine the leaf moistening effect level corresponding to the tobacco material to be analyzed based on the flow score interval corresponding to the fragment flow score.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0017] one or more processors;

[0018] A storage device for storing one or more programs;

[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the tobacco leaf moisturizing effect described in any embodiment of the present invention.

[0020] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining the tobacco leaf moisturizing effect described in any embodiment of the present invention.

[0021] In a fifth aspect, an embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the method for determining the tobacco leaf moisturizing effect as described in any embodiment of the present invention.

[0022] The embodiments of the present invention provide a method, device, electronic device and storage medium for determining the moisturizing effect of tobacco leaves, by obtaining tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragment tobacco leaf materials and small-fragment tobacco leaf materials; according to the material weight of the tobacco leaf materials to be analyzed, the large-fragment tobacco leaf materials and the small-fragment tobacco leaf materials, the material flow corresponding to each tobacco leaf material is determined; according to the total material flow, the large-fragment material flow and the small-fragment material flow, the fragment flow score corresponding to the tobacco leaf material to be analyzed is determined; based on the flow score interval corresponding to the fragment flow score, the leaf moisturizing effect level corresponding to the tobacco leaf material to be analyzed is determined. In the present technical scheme, the material weight corresponding to the tobacco leaf material to be analyzed, the large-fragment tobacco leaf material and the small-fragment tobacco leaf material are measured to calculate the material flow rate corresponding to each tobacco leaf material, and then the fragment flow score corresponding to the tobacco leaf material to be analyzed is automatically calculated based on the material flow rate of each tobacco leaf material, and the leaf moistening effect level of the tobacco leaf material to be analyzed is determined according to the flow score interval to which the fragment flow score belongs, so as to characterize the tobacco leaf moistening effect corresponding to the tobacco leaf material to be analyzed according to the leaf moistening effect level, thereby solving the problem that the tobacco leaf moistening effect of the tobacco leaf material usually needs to be determined manually in the prior art, and there is a low efficiency and poor accuracy in identifying the tobacco leaf moistening effect. By statistically analyzing the material flow rates of large-fragment tobacco leaf materials and small-fragment tobacco leaf materials in the tobacco leaf materials, the tobacco leaf moistening effect of the tobacco leaf material is determined, thereby achieving a more objective and accurate real-time detection of the tobacco leaf moistening effect corresponding to the tobacco leaf material during the tobacco processing process, thereby improving the recognition efficiency of the tobacco leaf moistening effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts. In the drawings:

[0024] Figure 1 is a flow chart of a method for determining tobacco leaf moisturizing effect provided in an embodiment of the present invention;

[0025] Figure 2 is a schematic diagram of a tobacco leaf fragment screening process provided in an embodiment of the present invention;

[0026] Figure 3 is a flow chart of a method for determining tobacco leaf moisturizing effect provided in an embodiment of the present invention;

[0027] Figure 4 is a structural schematic diagram of a device for determining tobacco leaf moistening effect provided in an embodiment of the present invention;

[0028] Figure 5It is a structural schematic diagram of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0030] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0031] Among them, the acquisition, storage, use and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations. It should be noted that in the embodiments of this application, some existing solutions in the industry such as certain software, components or models may be mentioned, which should be considered as exemplary, and their purpose is only to illustrate the feasibility of the implementation of the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein.

[0033] Before elaborating on the technical solution in detail, the application scenarios of the technical solution are briefly introduced first, so as to more clearly understand the technical solution. In the existing redrying production line, tobacco leaves in the leaf beating and stem removal stage are subjected to the violent mechanical external force of the leaf beating machine, which will produce a large number of fragments. These fragments are directly dried and screened, and small-sized fragments (i.e., small fragments) are packaged and stored, and large-sized fragments (i.e., large fragments) are mixed back into the finished tobacco leaves or packaged and stored according to process requirements. In the field of leaf beating and redrying manufacturing, leaf moistening is a very important part of the leaf beating and redrying process, and the effect of leaf moistening directly affects the subsequent leaf beating process and product quality. If the leaf moistening effect is poor, the leaf beating will produce large fragments, which will affect the overall output rate of large and medium-sized tobacco leaves, and directly affect the economic benefits of the entire process of leaf beating and redrying. Accurately judging the actual leaf moistening effect of the leaf moistening process and providing early warning for timely adjustment of the leaf moistening parameters are the prerequisites for ensuring the quality of products in subsequent processes. At present, the method of judging the moisturizing effect of tobacco leaves mainly relies on subjective judgment by manual methods, such as judging the hygroscopicity of tobacco leaves by touch; grasping tobacco leaves by hand, visually perceiving the rebound of tobacco leaves to judge the softness of tobacco leaves, and observing whether there are obvious water droplets and stains on the surface of tobacco leaves, if there are, the moisturizing effect is poor; tearing tobacco leaves by hand along the main vein, and observing whether there are obvious jagged tobacco residues on the main vein tobacco leaves. The more jagged residues, the poorer the moisturizing effect. However, this method of determining the moisturizing effect of tobacco leaves is too dependent on manual experience and professional knowledge reserves. Not only is the judgment basis highly subjective, but there are also problems of low efficiency and inaccurate identification results of the moisturizing effect of tobacco leaves.

[0034] Embodiment 1

[0035] Figure 1 This is a flow chart of a method for determining the moistening effect of tobacco leaves provided in an embodiment of the present invention. This embodiment can be applied to the process of tobacco processing, by automatically determining the material flow of large-fragment tobacco leaves and small-fragment tobacco leaves according to the total material weight of the tobacco leaves to be analyzed and the material weight of the large-fragment tobacco leaves and small-fragment tobacco leaves in the tobacco leaves to be analyzed, so as to calculate the fragment flow score of the tobacco leaves to be analyzed according to the material flow, and then determine the tobacco moistening grade of the tobacco leaves to be analyzed according to the flow score interval corresponding to the fragment flow score. The method of this embodiment can be executed by a device for determining the moistening effect of tobacco leaves, which can be implemented in hardware and / or software. The method specifically includes the following steps:

[0036] S110, obtaining tobacco leaf material to be analyzed.

[0037] The tobacco leaf materials to be analyzed can be understood as tobacco leaf materials that require identification of leaf moistening effects, and the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials, small-fragmented tobacco leaf materials, and fine-fragmented materials such as tobacco stems.

[0038] It should be noted that, since the moisturizing effect of tobacco materials is usually determined in actual applications based on analysis of large-fragment tobacco materials and small-fragment tobacco materials in the tobacco materials, only large-fragment tobacco materials and small-fragment tobacco materials are counted in this technical solution.

[0039] S120. Determine the material flow rate corresponding to each tobacco leaf material according to the material weight of the tobacco leaf material to be analyzed, the large-fragmented tobacco leaf material, and the small-fragmented tobacco leaf material.

[0040] The material flow rate is the total material flow rate corresponding to the tobacco leaf material to be analyzed, the large fragment material flow rate corresponding to the large fragment tobacco leaf material, or the small fragment material flow rate corresponding to the small fragment tobacco leaf material. The so-called material flow rate can be understood as the volume flow rate passing through the same position per unit time, also known as the material volume flow rate of the cross section at the position.

[0041] In the present technical solution, when determining the tobacco leaf moisturizing effect of the tobacco leaf material to be analyzed, it can be determined by calculating the fragment flow score of the tobacco leaf material to be analyzed. Among them, the fragment flow score can be used to characterize the leaf moisturizing effect of the tobacco leaf material to be analyzed. The higher the fragment flow score, the better the leaf moisturizing effect. Conversely, the lower the fragment flow score, the worse the leaf moisturizing effect. In actual applications, the fragment flow score of the tobacco leaf material to be analyzed needs to determine the material flow of each tobacco leaf material based on the material weight of the tobacco leaf material to be analyzed, the large fragment tobacco leaf material, and the small fragment tobacco leaf material, and then comprehensively determine the fragment flow score of the tobacco leaf material to be analyzed based on the material flow of each tobacco leaf material.

[0042] Optionally, the material flow rate corresponding to each tobacco material is determined according to the material weight of the tobacco material to be analyzed, the large-fragment tobacco material and the small-fragment tobacco material, including: in the tobacco processing process, extracting large-fragment tobacco material and small-fragment tobacco material from the tobacco material to be analyzed according to a pre-set tobacco screening module; determining the total material weight corresponding to the tobacco material to be analyzed, as well as the large-fragment material weight corresponding to the large-fragment tobacco material and the small-fragment material weight corresponding to the small-fragment tobacco material based on a belt scale deployed on the tobacco conveyor belt; and determining the material flow rate corresponding to each material based on the total material weight, the large-fragment material weight and the small-fragment material weight.

[0043] The tobacco screening module is used to screen the tobacco materials to be analyzed according to the tobacco leaf sizes. During the tobacco processing, when the tobacco materials to be analyzed pass through the tobacco screening module deployed on the conveyor belt, the tobacco screening module can extract large and small tobacco fragments from the tobacco materials to be analyzed according to the pre-set tobacco leaf sizes corresponding to large and small tobacco fragments.

[0044] On this basis, if Figure 2As shown, in order to determine the material weight of the tobacco leaf material to be analyzed, the large-fragmented tobacco leaf material, and the small-fragmented tobacco leaf material, a belt scale (e.g., the belt scale can be an Errun electronic scale) can also be set on the conveyor belt to determine the material weight corresponding to each tobacco leaf material when each tobacco leaf material passes through the belt scale. The material weight includes the total material weight corresponding to the tobacco leaf material to be analyzed, the large-fragmented material weight corresponding to the large-fragmented tobacco leaf material, and the small-fragmented material weight corresponding to the small-fragmented tobacco leaf material.

[0045] Furthermore, based on the total material weight, the large fragment material weight and the small fragment material weight, the material flow rate corresponding to each tobacco material is determined, including: for each tobacco material, according to the ratio of the material weight of the current tobacco material and the material collection time, the material flow rate corresponding to the current tobacco material is obtained.

[0046] Among them, the current tobacco leaf material is the total material flow corresponding to the tobacco leaf material to be analyzed, the large fragment material flow corresponding to the large fragment tobacco leaf material, or the small fragment material flow corresponding to the small fragment tobacco leaf material.

[0047] For example, taking the current tobacco leaf material as the tobacco leaf material to be analyzed as an example, the total material flow rate can be determined by the following formula:

[0048]

[0049] Wherein, η represents the total material flow rate of the tobacco leaf material to be analyzed, W η It represents the total material weight of the tobacco leaf material to be analyzed, and t represents the preset unit time.

[0050] Taking the current tobacco leaf material as a large-fragment tobacco leaf material as an example, the flow rate of the large-fragment material can be determined by the following formula:

[0051]

[0052] Where α represents the flow rate of large debris, W α It represents the material weight of large-piece tobacco leaf material, and t represents the preset unit time.

[0053] Taking the current tobacco leaf material as a large-fragment tobacco leaf material as an example, the flow rate of the small-fragment material can be determined by the following formula:

[0054]

[0055] Where β represents the flow rate of small debris, W β It represents the material weight of small-piece tobacco leaf material, and t represents the preset unit time.

[0056] S130. Determine the fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow and the small fragment material flow.

[0057] In the present technical solution, the fragment flow score corresponding to the tobacco material to be analyzed is determined according to the total material flow, the large fragment material flow and the small fragment material flow, including: determining the first weight corresponding to the large fragment tobacco material and the second weight corresponding to the small fragment tobacco material; obtaining the first value to be used based on the material weight of the large fragment tobacco material and the large fragment material flow, and obtaining the second value to be used based on the material weight of the small fragment tobacco material and the small fragment material flow; determining the fragment flow score corresponding to the tobacco material to be analyzed based on the first value to be used, the first weight, the second value to be used and the second weight.

[0058] Specifically, the large-fragmented tobacco leaf materials and the small-fragmented tobacco leaf materials have different effects on the final moistening effect of the tobacco leaf materials to be analyzed. The first weight corresponding to the large-fragmented tobacco leaf materials and the second weight corresponding to the small-fragmented tobacco leaf materials can be customized. Among them, when setting the first weight and the second weight, it can be set according to the material weight of the large-fragmented tobacco leaf materials and the small-fragmented tobacco leaf materials, or it can be set according to the material properties of the tobacco leaf materials to be analyzed, or it can be set according to manual experience, etc. Among them, the sum of the first weight and the second weight is 1. For example, the first weight is set to 0.80 and the second weight is set to 0.20. The technical solution does not specifically limit the setting method of the first weight and the second weight, and can be set according to actual needs.

[0059] Furthermore, after the material weight and material flow rate of large-fragment tobacco materials, as well as the material weight and material flow rate of small-fragment tobacco materials are known, a first value to be used can be obtained based on the material weight and material flow rate of large-fragment tobacco materials, and a second value to be used can be obtained based on the material weight and material flow rate of small-fragment tobacco materials; based on the first value to be used, the first weight, the second value to be used and the second weight, the fragment flow score corresponding to the tobacco material to be analyzed is determined.

[0060] Specifically, based on the above example, the fragment flow score corresponding to the tobacco leaf material to be analyzed can be determined based on the following formula:

[0061]

[0062] Among them, ξ represents the fragment flow score of the tobacco leaf material to be analyzed, P represents the first weight, α represents the large fragment material flow, Q represents the second weight, β represents the small fragment material flow, and η represents the total material flow of the tobacco leaf material to be analyzed.

[0063] S140. Determine the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed based on the flow score interval corresponding to the fragment flow score.

[0064] The flow score interval refers to a score interval pre-set according to the tobacco leaf moistening effect, and the flow score interval includes a minimum flow score and a maximum flow score. The moistening effect level can be used to characterize the moistening effect of the tobacco leaf material to be analyzed. The higher the fragment flow score corresponding to the tobacco leaf material to be analyzed, the higher the corresponding moistening effect level, and the better the tobacco leaf moistening effect.

[0065] Specifically, a flow score interval for measuring the tobacco leaf moisturizing effect is pre-set, and after obtaining the fragment flow score corresponding to the tobacco leaf material to be analyzed, the leaf moisturizing effect level of the tobacco leaf material to be analyzed is determined according to the flow score interval corresponding to the fragment flow score to characterize the tobacco leaf moisturizing effect.

[0066] The embodiments of the present invention provide a method, device, electronic device and storage medium for determining the moisturizing effect of tobacco leaves, by obtaining tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragment tobacco leaf materials and small-fragment tobacco leaf materials; according to the material weight of the tobacco leaf materials to be analyzed, the large-fragment tobacco leaf materials and the small-fragment tobacco leaf materials, the material flow corresponding to each tobacco leaf material is determined; according to the total material flow, the large-fragment material flow and the small-fragment material flow, the fragment flow score corresponding to the tobacco leaf material to be analyzed is determined; based on the flow score interval corresponding to the fragment flow score, the leaf moisturizing effect level corresponding to the tobacco leaf material to be analyzed is determined. In the present technical scheme, the material weight corresponding to the tobacco leaf material to be analyzed, the large-fragment tobacco leaf material and the small-fragment tobacco leaf material are measured to calculate the material flow rate corresponding to each tobacco leaf material, and then the fragment flow score corresponding to the tobacco leaf material to be analyzed is automatically calculated based on the material flow rate of each tobacco leaf material, and the leaf moistening effect level of the tobacco leaf material to be analyzed is determined according to the flow score interval to which the fragment flow score belongs, so as to characterize the tobacco leaf moistening effect corresponding to the tobacco leaf material to be analyzed according to the leaf moistening effect level, thereby solving the problem that the tobacco leaf moistening effect of the tobacco leaf material usually needs to be determined manually in the prior art, and there is a low efficiency and poor accuracy in identifying the tobacco leaf moistening effect. By statistically analyzing the material flow rates of large-fragment tobacco leaf materials and small-fragment tobacco leaf materials in the tobacco leaf materials, the tobacco leaf moistening effect of the tobacco leaf material is determined, thereby achieving a more objective and accurate real-time detection of the tobacco leaf moistening effect corresponding to the tobacco leaf material during the tobacco processing process, thereby improving the recognition efficiency of the tobacco leaf moistening effect.

[0067] Embodiment 2

[0068] Figure 3Flow chart of a method for determining the moisturizing effect of tobacco leaves provided in an embodiment of the present invention. The embodiment of the present invention further optimizes the above embodiment on the basis of the above embodiment, and the embodiment of the present invention can be combined with various optional solutions in one or more of the above embodiments. Figure 3 As shown, the method for determining the tobacco leaf moisturizing effect provided in the embodiment of the present invention may include the following steps:

[0069] S210, obtaining tobacco leaf material to be analyzed.

[0070] S220, determining at least one tobacco leaf material collection sample in the tobacco processing process, and determining the to-be-used fragment flow score corresponding to each tobacco leaf material collection sample.

[0071] In this technical solution, tobacco material data of tobacco materials within a preset time period at regular or intermittent intervals under a stable and orderly processing state of tobacco materials is used as tobacco material collection samples. The tobacco material collection samples include at least one tobacco material data corresponding to a collection moment, and the tobacco material collection samples are tobacco materials in the tobacco materials to be analyzed.

[0072] For example, during the stable and orderly processing of tobacco materials, data of the tobacco materials in the processing process is collected every 10 seconds, the collection time is 5 seconds, and the number of collections is n. The tobacco material data collected within these 5 seconds is used as a tobacco material collection sample. After the collection is completed, n tobacco material collection samples can be obtained.

[0073] In practical applications, in order to more accurately and objectively determine the tobacco moisturizing effect of the tobacco material to be analyzed, a more reasonable method is needed to determine the flow score range of the tobacco moisturizing effect.

[0074] Specifically, at least one tobacco leaf material collection sample in the tobacco processing process is determined, so as to determine the flow score interval that best matches the tobacco leaf material to be analyzed according to the fragment flow scores corresponding to each tobacco leaf material collection sample.

[0075] It should be noted that, due to the differences in raw material types or raw material sites of tobacco materials in the actual tobacco processing process, there will be certain differences in the requirements for the moistening effect of tobacco leaves for different tobacco materials. Based on this, it is necessary to calculate the best flow score interval for different tobacco materials, so that in actual use, after determining the flow score interval corresponding to the tobacco material to be analyzed, the moistening effect of the tobacco material to be analyzed can be judged based on the corresponding flow score interval.

[0076] S230. Based on the standard deviation, mean and confidence level corresponding to the flow score to be used of each tobacco material collection sample, obtain the flow score range corresponding to each tobacco material collection sample.

[0077] Among them, the fragment flow score to be used refers to the fragment flow score corresponding to each tobacco material collection sample, which is used to characterize the tobacco leaf moisturizing effect of the corresponding tobacco material collection sample.

[0078] In a specific example, the fragment flow scores of n tobacco leaf material collection samples are statistically analyzed, and then the flow score interval corresponding to the corresponding tobacco leaf material collection sample is determined according to the fragment flow scores of all tobacco leaf material collection samples.

[0079] Taking the flow score interval of tobacco material collection samples as an example, the flow score interval can be expressed by δ=(θ1, θ2), wherein θ1 represents the minimum fragment flow score of the flow score interval, and θ2 represents the maximum fragment flow score of the flow score interval.

[0080] Specifically, the mean corresponding to the tobacco leaf material collection sample is determined by the following formula:

[0081]

[0082] in, represents the mean value corresponding to n tobacco leaf material collection samples, n represents the number of tobacco leaf material collection samples, j represents the number of tobacco leaf material collection samples, ξ j Represents the debris flow score corresponding to the jth tobacco leaf material collection sample.

[0083] At the same time, the variance corresponding to the tobacco leaf material collection sample is determined based on the following formula:

[0084]

[0085] Among them, S 2 represents the variance corresponding to the tobacco leaf material collection samples, n represents the number of tobacco leaf material collection samples, represents the mean value corresponding to n tobacco leaf material samples, ξ j Represents the debris flow score corresponding to the jth tobacco leaf material collection sample.

[0086] Furthermore, the standard deviation S corresponding to the tobacco leaf material collection samples is determined based on the variance of the tobacco leaf material.

[0087] On this basis, the minimum fragment flow score of tobacco leaf material collection samples was determined according to the standard deviation, mean and significance level λ of tobacco leaf material collection samples:

[0088]

[0089] Among them, θ1 represents the minimum fragmentation estimated flow score, It represents the mean value corresponding to n tobacco leaf material samples collected. It represents the quantile of the normal distribution of the standard deviation of tobacco leaf materials, λ is the significance level, S represents the standard deviation corresponding to the tobacco leaf materials, and n represents the number of samples collected from tobacco leaf materials.

[0090] The significance level refers to the probability of making an error when estimating a population parameter that falls within a certain interval. Specifically, λ represents the probability of rejecting the null hypothesis when the null hypothesis is true.

[0091] At the same time, the maximum fragment flow score of the tobacco leaf material collection sample is determined according to the standard deviation, mean and confidence of the tobacco leaf material collection sample:

[0092]

[0093] Where θ2 represents the maximum fragmentation estimated flow score, It represents the mean value corresponding to n tobacco leaf material samples collected. represents the quantile of the normal distribution of the standard deviation of tobacco leaf material collection samples, λ represents the significance level, S represents the standard deviation corresponding to the tobacco leaf material collection samples, and n represents the number of tobacco leaf material collection samples.

[0094] Based on this, the flow score interval corresponding to the tobacco material collection sample is determined according to the minimum fragment flow score and the maximum fragment flow score.

[0095] S240. Determine the flow score interval corresponding to the tobacco material to be analyzed based on the flow score intervals corresponding to all tobacco material collection samples.

[0096] Specifically, when determining the final flow score interval based on the flow score intervals corresponding to all tobacco material collection samples, the final minimum fragment flow score can be determined based on the minimum fragment flow score of all flow score intervals, and the final maximum fragment flow score can be determined based on the maximum fragment flow score of all flow score intervals, and then the flow score interval corresponding to the tobacco material is obtained based on the final minimum fragment flow score and the final maximum flow fragment score.

[0097] Alternatively, the flow score interval corresponding to the minimum flow score can be used as the flow score interval corresponding to the tobacco material collection sample, or the flow score interval corresponding to the minimum maximum flow score can be used as the final flow score interval, etc. In this technical solution, the method of determining the flow score interval corresponding to the tobacco material to be analyzed based on all flow score intervals can be set according to actual needs, and is not specifically limited in this technical solution.

[0098] S250. Determine the material flow rate corresponding to each tobacco leaf material according to the material weight of the tobacco leaf material to be analyzed, the large-fragmented tobacco leaf material, and the small-fragmented tobacco leaf material.

[0099] S260. Determine the fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow and the small fragment material flow.

[0100] S270. Determine the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed based on the flow score interval corresponding to the fragment flow score.

[0101] Optionally, the flow score interval includes a minimum flow score and a maximum flow score, and the leaf moistening effect level corresponding to the tobacco material to be analyzed is determined based on the flow score interval corresponding to the fragment flow score, including: if the fragment flow score is less than the minimum flow score, then the leaf moistening effect level corresponding to the tobacco material to be analyzed is determined to be unqualified; if the fragment flow score is greater than the minimum flow score, and less than the average of the minimum flow score and the maximum flow score, then the leaf moistening effect level corresponding to the tobacco material to be analyzed is determined to be qualified; if the fragment flow score is greater than the average of the minimum flow score and the maximum flow score, and less than the maximum flow score, then the leaf moistening effect level corresponding to the tobacco material to be analyzed is determined to be good; if the fragment flow score is greater than the maximum flow score, then the leaf moistening effect level corresponding to the tobacco material to be analyzed is determined to be excellent.

[0102] According to the actual experience of tobacco leaf moistening, the smaller the debris flow of tobacco leaf material, the larger the corresponding debris flow score and the better the moistening effect; conversely, the larger the debris flow of tobacco leaf material, the smaller the corresponding debris flow score. Therefore, the minimum debris flow score in the estimated interval is the critical value for whether the moistening is qualified, and the maximum debris flow in the estimated interval is the maximum limit of the current moistening effect reflected by the modeling data. With the optimization of the process, the debris flow score theoretically has no maximum value.

[0103] For example, let X represent the fragment flow score of the tobacco leaf material to be analyzed, and set the flow score interval to [x1, x2]. Then, based on the flow score interval, the tobacco leaf moistening effect can be divided into 4 levels. When X < x1, the moistening effect level corresponding to the tobacco leaf material to be analyzed is determined to be unqualified; if Then it is determined that the leaf moistening effect level corresponding to the tobacco material to be analyzed is qualified; if If X>x2, the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is determined to be good; if X>x2, the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is determined to be excellent.

[0104] On this basis, in order to promptly remind relevant operators to perform leaf moisturizing when the leaf moisturizing effect of the tobacco material to be analyzed is unqualified, this technical solution also includes: determining the warning color of the warning light according to the leaf moisturizing effect level, and issuing an early warning based on the warning color.

[0105] Among them, the early warning lights are deployed at the leaf moistening process of tobacco processing.

[0106] Specifically, if the leaf moistening effect level is unqualified, it means that the leaf moistening effect of the current tobacco leaf material to be analyzed is poor, and the warning light can be adjusted to red to remind the operator to promptly perform further leaf moistening treatment on the tobacco leaf material to be analyzed; if the leaf moistening effect level is qualified, it means that the leaf moistening effect of the current tobacco leaf material to be analyzed is average, and the warning light can be adjusted to yellow to remind the operator to continue to pay attention; if the leaf moistening effect level is good, it means that the leaf moistening effect of the current tobacco leaf material to be analyzed is good, and the warning light can be adjusted to blue to remind the operator to promptly maintain the status quo or make appropriate adjustments to the leaf moistening treatment of the tobacco leaf material to be analyzed; if the leaf moistening effect level is excellent, it means that the leaf moistening effect of the current tobacco leaf material to be analyzed is very good, and the warning light can be adjusted to green to remind the operator to maintain the status quo of the leaf moistening treatment of the tobacco leaf material to be analyzed.

[0107] The embodiment of the present invention provides a method, device, electronic device and storage medium for determining the moisturizing effect of tobacco leaves. Before determining the material flow corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragment tobacco material and the small-fragment tobacco material, at least one collection period in the tobacco processing process is determined; for each collection period, the fragment flow score to be used in the current collection period is determined, and based on the standard deviation, mean and confidence of the fragment flow score to be used, the flow score interval corresponding to the current collection period is obtained; according to the flow score intervals corresponding to all the collection periods, the flow score interval corresponding to the tobacco material to be analyzed is determined. In this technical solution, before the fragment flow score of the tobacco material to be analyzed is performed, in order to determine the flow score interval that best matches the tobacco material to be analyzed, the corresponding flow score interval can be set for different tobacco materials, so that when the tobacco effect of the tobacco material to be analyzed needs to be determined, the optimal flow score interval corresponding to the tobacco material to be analyzed is retrieved to determine the tobacco effect level corresponding to the tobacco material to be analyzed, so as to achieve a more accurate and objective evaluation of the tobacco moisturizing effect of the tobacco material.

[0108] Embodiment 3

[0109] Figure 4 : is a schematic diagram of a structure of a device for determining the moisturizing effect of tobacco leaves provided in an embodiment of the present invention. The device can be implemented by software and / or hardware and is generally integrated on any electronic device with network communication function, including but not limited to: servers, computers, personal digital assistants and other devices. Figure 4 As shown, the device for determining the tobacco leaf moisturizing effect provided in this embodiment may include: a material acquisition module 310, a material flow determination module 320, a flow score determination module 330 and an effect level determination module 340.

[0110] The material acquisition module 310 is used to acquire tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials;

[0111] The material flow determination module 320 is used to determine the material flow corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragment tobacco material and the small-fragment tobacco material; wherein the material flow is the total material flow corresponding to the tobacco material to be analyzed, the large-fragment material flow corresponding to the large-fragment tobacco material, or the small-fragment material flow corresponding to the small-fragment tobacco material;

[0112] A flow score determination module 330, for determining a fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow and the small fragment material flow;

[0113] The effect level determination module 340 is used to determine the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed based on the flow score interval corresponding to the fragment flow score.

[0114] The embodiments of the present invention provide a method, device, electronic device and storage medium for determining the moisturizing effect of tobacco leaves, by obtaining tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragment tobacco leaf materials and small-fragment tobacco leaf materials; according to the material weight of the tobacco leaf materials to be analyzed, the large-fragment tobacco leaf materials and the small-fragment tobacco leaf materials, the material flow corresponding to each tobacco leaf material is determined; according to the total material flow, the large-fragment material flow and the small-fragment material flow, the fragment flow score corresponding to the tobacco leaf material to be analyzed is determined; based on the flow score interval corresponding to the fragment flow score, the leaf moisturizing effect level corresponding to the tobacco leaf material to be analyzed is determined. In the present technical scheme, the material weight corresponding to the tobacco leaf material to be analyzed, the large-fragment tobacco leaf material and the small-fragment tobacco leaf material are measured to calculate the material flow rate corresponding to each tobacco leaf material, and then the fragment flow score corresponding to the tobacco leaf material to be analyzed is automatically calculated based on the material flow rate of each tobacco leaf material, and the leaf moistening effect level of the tobacco leaf material to be analyzed is determined according to the flow score interval to which the fragment flow score belongs, so as to characterize the tobacco leaf moistening effect corresponding to the tobacco leaf material to be analyzed according to the leaf moistening effect level, thereby solving the problem that the tobacco leaf moistening effect of the tobacco leaf material usually needs to be determined manually in the prior art, and there is a low efficiency and poor accuracy in identifying the tobacco leaf moistening effect. By statistically analyzing the material flow rates of large-fragment tobacco leaf materials and small-fragment tobacco leaf materials in the tobacco leaf materials, the tobacco leaf moistening effect of the tobacco leaf material is determined, thereby achieving a more objective and accurate real-time detection of the tobacco leaf moistening effect corresponding to the tobacco leaf material during the tobacco processing process, thereby improving the recognition efficiency of the tobacco leaf moistening effect.

[0115] Based on the above embodiment, optionally, the material flow determination module includes: a material extraction unit, which is used to extract large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials from the tobacco leaf materials to be analyzed according to a pre-set tobacco leaf screening module during tobacco processing; wherein the tobacco leaf screening module is used to screen the tobacco leaf materials to be analyzed according to the tobacco leaf size;

[0116] A material weight determination unit, used for determining the total material weight corresponding to the tobacco leaf material to be analyzed, the large fragment material weight corresponding to the large fragment tobacco leaf material, and the small fragment material weight corresponding to the small fragment tobacco leaf material based on a belt scale deployed on the tobacco conveyor belt;

[0117] The material flow determination unit is used to determine the material flow corresponding to each material based on the total material weight, the large fragment material weight and the small fragment material weight.

[0118] On the basis of the above embodiment, optionally, a material flow determination unit is used to obtain, for each tobacco material, a material flow corresponding to the current tobacco material according to the ratio of the material weight of the current tobacco material and the material collection time; wherein the current tobacco material is the total material flow corresponding to the tobacco material to be analyzed, the large fragment material flow corresponding to the large fragment tobacco material, or the small fragment material flow corresponding to the small fragment tobacco material.

[0119] Based on the above embodiment, the device for determining the tobacco leaf moistening effect may further include: a collection period determination module, which is used to determine at least one collection period in the tobacco processing process before determining the material flow rate corresponding to each tobacco leaf material according to the material weight of the tobacco leaf material to be analyzed, the large-fragmented tobacco leaf material and the small-fragmented tobacco leaf material;

[0120] An interval determination module is used to determine the traffic score of the fragments to be used in the current collection period for each collection period, and obtain the traffic score interval corresponding to the current collection period based on the standard deviation, mean and confidence of the traffic score of the fragments to be used;

[0121] The flow score interval determination module is used to determine the flow score interval corresponding to the tobacco leaf material to be analyzed based on the flow score intervals corresponding to all the collection time periods.

[0122] Based on the above embodiment, optionally, the flow score determination module includes: a weight determination unit, used to determine a first weight corresponding to the large-fragmented tobacco leaf material and a second weight corresponding to the small-fragmented tobacco leaf material;

[0123] A to-be-used value determination unit, used to obtain a first to-be-used value based on a material weight of large-fragment tobacco leaf material and a material flow rate of large-fragment tobacco leaf material, and to obtain a second to-be-used value based on a material weight of small-fragment tobacco leaf material and a material flow rate of small-fragment tobacco leaf material;

[0124] The flow score determination unit is used to determine the fragment flow score corresponding to the tobacco material to be analyzed based on the first value to be used, the first weight, the second value to be used and the second weight.

[0125] Based on the above embodiment, optionally, the effect level determination module includes: a first unit, which is used to determine that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is unqualified if the debris flow score is less than the minimum flow score;

[0126] The second unit is used to determine that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is qualified if the fragment flow score is greater than the minimum flow score and less than the average of the minimum flow score and the maximum flow score;

[0127] The third unit is used to determine that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is good if the fragment flow score is greater than the average of the minimum flow score and the maximum flow score and less than the maximum flow score;

[0128] The fourth unit is used to determine that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is excellent if the fragment flow score is greater than the maximum flow score.

[0129] On the basis of the above-mentioned embodiment, optionally, the device for determining the moistening effect of tobacco leaves is also used to determine the warning color of the warning light according to the moistening effect level, and to issue a warning according to the warning color; wherein the warning light is deployed at the location of the moistening process of tobacco processing.

[0130] The device for determining the tobacco leaf moisturizing effect provided in the embodiment of the present invention can execute the method for determining the tobacco leaf moisturizing effect provided in any of the above-mentioned embodiments of the present invention, and has the corresponding functions and beneficial effects of executing the method for determining the tobacco leaf moisturizing effect. For the detailed process, please refer to the relevant operations of the method for determining the tobacco leaf moisturizing effect in the above-mentioned embodiments.

[0131] Embodiment 4

[0132] Figure 5 1 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. The electronic device 10 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 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0133] like Figure 5As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0134] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0135] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for determining the moisturizing effect of tobacco leaves.

[0136] In some embodiments, the method for determining the moisturizing effect of tobacco leaves may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining the moisturizing effect of tobacco leaves described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for determining the moisturizing effect of tobacco leaves in any other appropriate manner (e.g., by means of firmware).

[0137] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0138] Computer programs for implementing 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, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0139] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0140] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0141] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0142] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0143] Embodiment 5

[0144] An embodiment of the present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements a method for determining the tobacco leaf moisturizing effect as provided in any embodiment of the present application.

[0145] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0146] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0147] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining the moisturizing effect of tobacco leaves, characterized in that: The method comprises: Obtaining tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials; Determine the material flow rate corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragmented tobacco material and the small-fragmented tobacco material; wherein the material flow rate is the total material flow rate corresponding to the tobacco material to be analyzed, the large-fragmented material flow rate corresponding to the large-fragmented tobacco material, or the small-fragmented material flow rate corresponding to the small-fragmented tobacco material; Determining a fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow, and the small fragment material flow; Based on the flow score interval corresponding to the fragment flow score, the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is determined.

2. The method according to claim 1, characterized in that The method of determining the material flow rate corresponding to each tobacco leaf material according to the material weight of the tobacco leaf material to be analyzed, the large-fragmented tobacco leaf material, and the small-fragmented tobacco leaf material comprises: During tobacco processing, large-fragment tobacco material and small-fragment tobacco material are extracted from the tobacco material to be analyzed according to a pre-set tobacco screening module; wherein the tobacco screening module is used to screen the tobacco material to be analyzed according to the size of the tobacco leaves; Determine the total material weight corresponding to the tobacco leaf material to be analyzed, the large fragment material weight corresponding to the large fragment tobacco leaf material, and the small fragment material weight corresponding to the small fragment tobacco leaf material based on a belt scale deployed on the tobacco conveyor belt; The material flow rate corresponding to each material is determined based on the total material weight, the large fragment material weight and the small fragment material weight.

3. The method according to claim 2, characterized in that The determining of the material flow rate corresponding to each tobacco leaf material based on the total material weight, the large fragment material weight and the small fragment material weight comprises: For each of the tobacco leaf materials, the material flow corresponding to the current tobacco leaf material is obtained according to the ratio of the material weight of the current tobacco leaf material and the material collection time; wherein the current tobacco leaf material is the total material flow corresponding to the tobacco leaf material to be analyzed, the large fragment material flow corresponding to the large fragment tobacco leaf material, or the small fragment material flow corresponding to the small fragment tobacco leaf material.

4. The method according to claim 1, characterized in that: Before determining the material flow rate corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragmented tobacco material, and the small-fragmented tobacco material, the method further includes: Determine at least one tobacco leaf material collection sample in a tobacco processing process, and determine a fragment flow score to be used corresponding to each tobacco leaf material collection sample; Based on the standard deviation, mean and confidence level corresponding to the to-be-used flow score of each of the tobacco leaf material collection samples, the flow score interval corresponding to each of the tobacco leaf material collection samples is obtained; The flow score interval corresponding to the tobacco material to be analyzed is determined according to the flow score intervals corresponding to all tobacco material collection samples.

5. The method according to claim 1, characterized in that The determining, according to the total material flow, the large fragment material flow and the small fragment material flow, of the fragment flow score corresponding to the tobacco leaf material to be analyzed comprises: Determining a first weight corresponding to the large-fragmented tobacco leaf material and a second weight corresponding to the small-fragmented tobacco leaf material; Based on the material weight of the large-fragmented tobacco leaf material and the material flow rate of the large-fragmented tobacco leaf material, a first value to be used is obtained, and based on the material weight of the small-fragmented tobacco leaf material and the material flow rate of the small-fragmented tobacco leaf material, a second value to be used is obtained; Based on the first value to be used, the first weight, the second value to be used and the second weight, a fragment flow score corresponding to the tobacco leaf material to be analyzed is determined.

6. The method according to claim 1, characterized in that The flow score interval includes a minimum flow score and a maximum flow score, and the flow score interval corresponding to the fragment flow score is used to determine the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed, including: If the debris flow score is less than the minimum flow score, the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is determined to be unqualified; If the fragment flow score is greater than the minimum flow score and less than the average of the minimum flow score and the maximum flow score, it is determined that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is qualified; If the fragment flow score is greater than the average of the minimum flow score and the maximum flow score, and less than the maximum flow score, it is determined that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is good; If the fragment flow score is greater than the maximum flow score, it is determined that the leaf moistening effect level corresponding to the tobacco leaf material to be analyzed is excellent.

7. The method according to claim 1, characterized in that Also includes: The warning color of the warning light is determined according to the leaf moistening effect level, and a warning is given according to the warning color; wherein the warning light is deployed at the location of the leaf moistening process in tobacco processing.

8. A device for determining the moistening effect of tobacco leaves, characterized in that: The device comprises: A material acquisition module is used to acquire tobacco leaf materials to be analyzed; wherein the tobacco leaf materials to be analyzed include large-fragmented tobacco leaf materials and small-fragmented tobacco leaf materials; A material flow determination module, used to determine the material flow corresponding to each tobacco material according to the material weight of the tobacco material to be analyzed, the large-fragment tobacco material and the small-fragment tobacco material; wherein the material flow is the total material flow corresponding to the tobacco material to be analyzed, the large-fragment material flow corresponding to the large-fragment tobacco material, or the small-fragment material flow corresponding to the small-fragment tobacco material; A flow score determination module, used to determine the fragment flow score corresponding to the tobacco leaf material to be analyzed according to the total material flow, the large fragment material flow and the small fragment material flow; The effect level determination module is used to determine the leaf moistening effect level corresponding to the tobacco material to be analyzed based on the flow score interval corresponding to the fragment flow score.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the tobacco leaf moisturizing effect as described in any one of claims 1-7.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions, when executed by a computer processor, are used to execute the method for determining the tobacco leaf moisturizing effect as described in any one of claims 1-7.

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