Cigarette weight regulation and control method and device, electronic equipment and storage medium

Abstract

The invention discloses a cigarette weight regulation and control method and device, electronic equipment and a storage medium. The method comprises the steps that cigarette weight data corresponding to total production cigarettes of a reference batch are obtained, and the total production cigarettes are obtained by conducting cigarette production on tobacco shreds of the reference batch through a double-channel cigarette making machine; determining a weight discrete value corresponding to the total quantity of produced cigarettes according to the tobacco shred weight data; under the condition that the weight discrete value exceeds a preset weight discrete threshold value, for each production channel, obtaining component weight data of component production cigarettes corresponding to the production channel, and determining weight discrete data corresponding to the component production cigarettes according to the component weight data; according to the weight discrete data, weight related components and / or target control parameters of the two-channel cigarette making machine are / is regulated and controlled. Based on the technical scheme, the weight dispersion degree of the cigarette weight can be effectively regulated and controlled, and the weight distribution uniformity degree of cigarettes produced in batches is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer application technology, and in particular to a method, device, electronic equipment and storage medium for controlling cigarette weight. Background Art

[0002] Cigarette weight is one of the important indicators to measure the quality of cigarette production. How to accurately control the quality of cigarettes has always been a research focus in the tobacco industry.

[0003] At present, the weight of cigarettes is usually controlled by individually controlling the weight of each produced cigarette. Specifically, the weight of each produced cigarette in a batch of produced cigarettes is tested. If the weight of each cigarette is within the preset weight range, the weight of the cigarettes in the batch is considered qualified. However, it is believed that the above-mentioned control dimension of cigarette weight is relatively single and lacks control methods in other dimensions. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for regulating cigarette weight, so as to solve the technical problem that the current direction of cigarette weight control is relatively single and there is a lack of control methods in other dimensions except for the individual control dimension of the weight of each produced cigarette.

[0005] According to one aspect of the present invention, a method for controlling cigarette weight is provided, the method comprising:

[0006] Obtaining cigarette weight data corresponding to a total amount of produced cigarettes of a reference batch, wherein the total amount of produced cigarettes is obtained by producing cigarettes from the reference batch of shredded tobacco using a dual-channel cigarette-making machine, the dual-channel cigarette-making machine including two production channels;

[0007] Determine the weight discrete value corresponding to the total amount of produced cigarettes according to the shredded tobacco weight data;

[0008] In the case where the weight discrete value exceeds a preset weight discrete threshold, for each of the production channels, obtaining the weight data of the cigarettes produced by the production channel, and determining the weight discrete data corresponding to the cigarettes produced by the production channel according to the weight data;

[0009] The weight-related components and / or target control parameters of the dual-channel cigarette making machine are regulated according to the weight discrete data.

[0010] According to another aspect of the present invention, a device for controlling cigarette weight is provided, the device comprising:

[0011] A weight data acquisition module, used to acquire cigarette weight data corresponding to a total amount of produced cigarettes of a reference batch, wherein the total amount of produced cigarettes is obtained by producing cigarettes from the reference batch of shredded tobacco using a dual-channel cigarette-making machine, wherein the dual-channel cigarette-making machine includes two production channels;

[0012] A total discrete value determination module, used to determine the weight discrete value corresponding to the total amount of produced cigarettes according to the shredded tobacco weight data;

[0013] A discrete data determination module is used to obtain, for each of the production channels, the weight data of the cigarettes produced by the production channel when the weight discrete value exceeds a preset weight discrete threshold, and determine the weight discrete data corresponding to the cigarettes produced by the production channel according to the weight discrete data;

[0014] A component parameter control module is used to control weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for controlling cigarette weight described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for controlling cigarette weight according to any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention is to obtain the cigarette weight data corresponding to the total amount of cigarettes produced of a reference batch, wherein the total amount of cigarettes produced is obtained by producing cigarettes on a reference batch of tobacco by a dual-channel cigarette-making machine, and the dual-channel cigarette-making machine includes two production channels; determine the weight discrete value corresponding to the total amount of cigarettes produced according to the tobacco weight data; when the weight discrete value exceeds a preset weight discrete threshold, obtain the component weight data of the component cigarettes produced corresponding to each of the production channels, and determine the weight discrete data corresponding to the component cigarettes produced according to the component weight data; and regulate the weight-related components and / or target control parameters of the dual-channel cigarette-making machine according to the weight discrete data. The present invention realizes the effect of judging whether the weight uniformity of cigarettes produced by a dual-channel cigarette-making machine is abnormal by calculating the weight discrete value of the total weight of cigarettes produced in a reference batch, and in abnormal circumstances, realizing the weight discrete data representing the weight discreteness of the cigarettes produced in each production channel by calculating the weight discrete data of the cigarette weight, so as to adjust the components or control parameters corresponding to the production channel in a targeted manner, effectively regulate the weight discreteness of the cigarette weight, and improve the effect of improving the weight distribution uniformity of batch-produced cigarettes.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a method for controlling cigarette weight according to Embodiment 1 of the present invention;

[0024] Figure 2 is a schematic diagram of a tobacco pressing wheel and a tobacco shred leveler provided according to an embodiment of the present invention;

[0025] Figure 3 is a flow chart of a method for controlling cigarette weight according to Embodiment 2 of the present invention;

[0026] Figure 4 This is an overall flow chart of a method for controlling cigarette weight provided according to an embodiment of the present invention;

[0027] Figure 5 is a schematic structural diagram of a cigarette weight control device provided according to Embodiment 3 of the present invention;

[0028] Figure 6 It is a schematic diagram of the structure of an electronic device for implementing the cigarette weight control method of an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] 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 data 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. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 A flowchart of a method for controlling cigarette weight is provided for the first embodiment of the present invention. This embodiment is applicable to the case where cigarette weight is controlled by adjusting components and control parameters of a cigarette making machine. The method can be executed by a cigarette weight control device. The cigarette weight control device can be implemented in the form of hardware and / or software. The cigarette weight control device can be configured in a computer. Figure 1 As shown, the method includes:

[0033] S110, obtaining cigarette weight data corresponding to the total amount of cigarettes produced in the reference batch.

[0034] In the embodiment of the present invention, the total amount of produced cigarettes is obtained by producing cigarettes from a reference batch of shredded tobacco using a dual-channel cigarette-making machine, wherein the dual-channel cigarette-making machine includes two production channels.

[0035] The reference batch can be understood as a batch of cigarettes that have been produced. Correspondingly, the reference batch of shredded tobacco can be understood as shredded tobacco used to produce the reference batch of production cigarettes.

[0036] The total amount of produced cigarettes can be understood as the total amount of produced cigarettes. In layman's terms, the total amount of produced cigarettes can be understood as all cigarettes produced based on the reference batch of tobacco. The total amount of produced cigarettes includes multiple target cigarettes. Exemplarily, the total amount of produced cigarettes includes 1,000 cigarettes, 2,000 cigarettes, or 3,000 cigarettes, etc. Among them, the target cigarette represents a cigarette actually produced.

[0037] The cigarette weight data may be understood as data related to the weight of cigarettes. Optionally, the cigarette weight data includes a cigarette weight value corresponding to each target cigarette.

[0038] The cigarette weight value can be understood as a numerical value corresponding to the weight of the cigarette. The cigarette weight value is obtained by actually detecting the weight of the target cigarette, that is, the cigarette weight value is the actual weight value corresponding to the target cigarette. For example, with grams as the base unit, the cigarette weight value can be 0.75, 1.0 or 1.25, etc.

[0039] The dual-channel cigarette making machine can be understood as a cigarette making machine that produces cigarettes based on dual production channels. Generally speaking, compared with the traditional single-channel cigarette making machine, the dual-channel cigarette making machine has a higher cigarette production efficiency. That is to say, the dual-channel cigarette making machine includes two production channels. In an embodiment of the present invention, the two production channels can be referred to as a first channel and a second channel. The cigarettes produced based on the first channel can be referred to as first-quantity cigarettes, and the cigarettes produced based on the second channel can be referred to as second-quantity cigarettes. In an embodiment of the present invention, the total amount of cigarettes produced can be the sum of the first-quantity cigarettes and the second-quantity cigarettes, that is, the total amount of cigarettes produced can include the first-quantity cigarettes and the second-quantity cigarettes.

[0040] S120: Determine the weight discrete value corresponding to the total amount of produced cigarettes according to the tobacco weight data.

[0041] The weight discrete value may represent the discreteness of the weight of the target cigarettes in the total amount of produced cigarettes.

[0042] Optionally, determining the weight discrete values ​​corresponding to the total amount of produced cigarettes according to the tobacco weight data includes:

[0043] Dividing the total amount of produced cigarettes to obtain a plurality of produced cigarette sets, wherein the produced cigarette sets include at least two of the target cigarettes;

[0044] For each of the production cigarette sets, determine a first standard deviation value between the cigarette weight values ​​of the multiple target cigarettes in the production cigarette set, and determine a first weight mean value between the cigarette weight values ​​of the multiple target cigarettes in the production cigarette set;

[0045] determining a first deviation mean value between a plurality of the first standard deviation values, and determining a second standard deviation value between a plurality of the first weight mean values;

[0046] The weight discrete values ​​corresponding to the total amount of cigarettes produced are determined according to the first deviation mean and the second standard deviation.

[0047] The production cigarette set can be understood as a set of production cigarettes. The total amount of production cigarettes in the plurality of production cigarette sets is the total amount of production cigarettes.

[0048] The first standard deviation value can be understood as the standard deviation value between the multiple cigarette weight values. Further, the first deviation mean value can be understood as the mean value between the multiple first standard deviation values.

[0049] The first weight mean value can be understood as the mean value between the multiple cigarette weight values. Further, the second standard deviation value can be understood as the standard deviation value between the multiple first weight mean values.

[0050] Exemplarily, an implementation is described as follows:

[0051] The total amount of produced cigarettes of the reference batch includes 1000 target cigarettes, and the 1000 target cigarettes are divided into ten groups, each group (each group is also each of the produced cigarette sets) includes 100 target cigarettes; the weight of each cigarette in each divided group is determined; for each divided group, the average value of the cigarette weight is determined (denoted as AVG1, AVG2, ..., AVG 10 ) and standard deviation values ​​(denoted as SD1, SD2, ..., SD 10 ).

[0052] Furthermore, the first deviation mean may be calculated based on the following formula:

[0053]

[0054] Wherein, Sstd represents the first deviation mean; SD i Represents the first standard deviation value corresponding to the i-th set of produced cigarettes.

[0055] The second standard deviation value can be calculated based on the following formula:

[0056]

[0057] Wherein, Lstd represents the second standard deviation value; AVG i represents the first weight mean corresponding to the i-th set of produced cigarettes; represents the average of N first weight averages; N represents the number of the produced cigarette sets.

[0058] Optionally, determining the weight discrete value corresponding to the total amount of produced cigarettes according to the first deviation mean and the second standard deviation value includes:

[0059] The weight discrete value corresponding to the total amount of cigarettes produced is determined according to the first deviation mean, the second standard deviation and a preset target coefficient, wherein the target coefficient is determined based on the properties of the dual-channel cigarette making machine.

[0060] In the embodiment of the present invention, the target coefficient may be determined based on the actual model or specification of the dual-channel cigarette making machine, which is not specifically limited herein. Currently, a more common target coefficient is 0.5.

[0061] Specifically, the weight discrete value can be calculated based on the following formula:

[0062] η=α*Sstd+(1-α)*Lstd

[0063] Among them, η represents the weight discrete value; Sstd represents the first deviation mean; Lstd represents the second standard deviation value; α represents the target coefficient.

[0064] Based on the above embodiment scheme, the weight discrete value that characterizes the discrete situation of cigarette weight is calculated by combining the standard deviation of the mean cigarette weight and the mean of the standard deviation of the cigarette weight, and the effect of judging whether the weight distribution of produced cigarettes is uniform based on the weight discrete value is achieved.

[0065] S130. When the weight discrete value exceeds a preset weight discrete threshold, for each of the production channels, obtain the weight data of the cigarettes produced in the corresponding portion of the production channel, and determine the weight discrete data corresponding to the cigarettes produced in the corresponding portion based on the weight data.

[0066] The weight discrete threshold value may be understood as a threshold value preset for the weight discrete value. In the embodiment of the present invention, the weight discrete threshold value may be preset according to the scene requirements, and is not specifically limited here.

[0067] The weight discrete data may represent the discreteness of the weight of multiple component cigarettes (the component cigarette may be the first cigarette or the second cigarette) in the component produced cigarettes. The weight discrete data may include at least two target values ​​representing the discreteness of the weight of cigarettes from different dimensions.

[0068] S140: regulating weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data.

[0069] In the embodiment of the present invention, each of the production channels may correspond to a weight control system.

[0070] The weight-related components can be understood as components related to the weight of cigarettes during the cigarette production process. In the embodiment of the present invention, the components can be related to the structure of an actual cigarette making machine, which is not specifically limited here. Optionally, the components can include a pressing wheel and a tobacco smoother, etc. Figure 2 . Figure 2 It is a schematic diagram of a tobacco pressing wheel and a tobacco shred leveler provided according to an embodiment of the present invention.

[0071] The target control parameter can be understood as a system control parameter related to the weight of the cigarette. In the embodiment of the present invention, the target control parameter can be related to the association between the weight control system and the cigarette making machine, which is not specifically limited here.

[0072] In the embodiment of the present invention, the weight of cigarettes can be adjusted locally by regulating the weight-related components, and the weight of cigarettes of the entire production line of the production channel can be adjusted as a whole by regulating the target control parameters.

[0073] Optionally, the weight-related component may include a first component corresponding to the first channel or a second component corresponding to the second channel, and the target control parameter may include a first control parameter corresponding to the first channel or a second control parameter corresponding to the second channel.

[0074] Optionally, after regulating the weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data, the method further includes:

[0075] Determining the adjusted dual-channel cigarette making machine according to the adjusted weight-related components and / or the adjusted target control parameters;

[0076] A target batch of cigarettes is determined, wherein the target batch of cigarettes is produced by producing cigarettes from a target batch of shredded tobacco by the regulated dual-channel cigarette-making machine.

[0077] The target batch of production cigarettes can be understood as the target batch of production cigarettes. The target batch of shredded tobacco can be understood as the shredded tobacco used to produce the target batch of production cigarettes.

[0078] Based on the above embodiment scheme, the dual-channel cigarette making machine is optimized based on the data of the reference batch of produced cigarettes, so as to optimize the weight uniformity of the target batch of produced cigarettes.

[0079] The technical solution of the embodiment of the present invention is to obtain the cigarette weight data corresponding to the total amount of cigarettes produced of a reference batch, wherein the total amount of cigarettes produced is obtained by producing cigarettes on a reference batch of tobacco by a dual-channel cigarette-making machine, and the dual-channel cigarette-making machine includes two production channels; determine the weight discrete value corresponding to the total amount of cigarettes produced according to the tobacco weight data; when the weight discrete value exceeds a preset weight discrete threshold, obtain the component weight data of the component cigarettes produced corresponding to each of the production channels, and determine the weight discrete data corresponding to the component cigarettes produced according to the component weight data; and regulate the weight-related components and / or target control parameters of the dual-channel cigarette-making machine according to the weight discrete data. The present invention realizes the effect of judging whether the weight uniformity of cigarettes produced by a dual-channel cigarette-making machine is abnormal by calculating the weight discrete value of the total weight of cigarettes produced in a reference batch, and in abnormal circumstances, realizing the weight discrete data representing the weight discreteness of the cigarettes produced in each production channel by calculating the weight discrete data of the cigarette weight, so as to adjust the components or control parameters corresponding to the production channel in a targeted manner, effectively regulate the weight discreteness of the cigarette weight, and improve the effect of improving the weight distribution uniformity of batch-produced cigarettes.

[0080] Embodiment 2

[0081] Figure 3 This is a flowchart of a method for controlling cigarette weight provided in the second embodiment of the present invention. This embodiment is to refine the discrete weight data corresponding to the cigarette produced by the component according to the component weight data described in the above embodiment. Figure 3 As shown, the method includes:

[0082] S210, obtaining cigarette weight data corresponding to the total amount of cigarettes produced in the reference batch.

[0083] S220: Determine the weight discrete value corresponding to the total amount of produced cigarettes according to the tobacco weight data.

[0084] S230. When the weight discrete value exceeds a preset weight discrete threshold, for each production channel, obtain the component weight data of the component cigarettes produced by the production channel.

[0085] Optionally, the portion weight data includes first weight data corresponding to the first portion of cigarettes or second weight data corresponding to the second portion of cigarettes;

[0086] The first quantity of cigarettes includes a plurality of first cigarettes, and the first weight data includes a first weight value corresponding to each of the first cigarettes. Correspondingly, the second quantity of cigarettes includes a plurality of second cigarettes, and the second weight data includes a second weight value corresponding to each of the second cigarettes.

[0087] The first quantity of cigarettes can be understood as cigarettes produced based on the first production channel. The first quantity of cigarettes can include multiple first cigarettes, and the first cigarette represents a cigarette actually produced. The first weight data can be understood as data related to the weight of the first cigarette. Optionally, the first weight data can include a first weight value corresponding to each of the first cigarettes, and the first weight value can be understood as a numerical value corresponding to the weight of the first cigarette.

[0088] Accordingly, the second quantity of cigarettes can be understood as cigarettes produced based on the second production channel. The second quantity of cigarettes can include multiple second cigarettes, and the second cigarette represents a cigarette actually produced. The second weight data can be understood as data related to the weight of the second cigarette. Optionally, the second weight data can include a second weight value corresponding to each second cigarette, and the second weight value can be understood as a numerical value corresponding to the weight of the second cigarette.

[0089] In the embodiment of the present invention, the first weight value and the second weight value can be obtained by actually measuring the weight of the first cigarette and the second cigarette, that is, the weight values ​​are the actual weight values ​​corresponding to the corresponding cigarettes. For example, with grams as the reference unit, the weight values ​​can be 0.75, 1.0 or 1.25, etc.

[0090] S240: Divide the first component cigarettes to obtain a plurality of first cigarette sets, wherein the first cigarette sets include at least two of the first cigarettes.

[0091] The first cigarette set can be understood as a set including at least two first cigarettes. The total amount of first cigarettes in the plurality of first cigarette sets is the first quantity of cigarettes.

[0092] S250. For each of the first cigarette sets, determine a second standard deviation value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set, and determine a second weight mean value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set.

[0093] The second standard deviation value may be understood as a standard deviation value between a plurality of the first weight values.

[0094] The second weight average value may be understood as the average value among a plurality of the first weight values.

[0095] S260: Determine a second deviation mean value between multiple second standard deviation values, and determine a third standard deviation value between multiple second weight mean values.

[0096] The second deviation mean may be understood as the mean value between a plurality of second standard deviation values.

[0097] The third standard deviation value may be understood as a standard deviation value between a plurality of the second weight means.

[0098] S270: Use the second deviation mean and the third standard deviation as weight discrete data corresponding to the first component of cigarettes.

[0099] The weight discrete data includes at least two target values ​​representing the discrete conditions of cigarette weight from different dimensions. Correspondingly, for the first channel, the weight discrete data may include the second deviation mean and the third standard deviation value.

[0100] S280: regulating weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data.

[0101] Optionally, regulating weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data includes:

[0102] When the second deviation mean exceeds a preset mean threshold, the first component of the dual-channel cigarette making machine is regulated according to the second deviation mean, wherein the first component at least includes a pressing wheel and a tobacco shred leveler;

[0103] When the third standard deviation exceeds a preset deviation threshold, the first control parameter of the dual-channel cigarette making machine is regulated according to the third standard deviation, wherein the first control parameter is a system control parameter related to cigarette weight.

[0104] It should be noted that, in the embodiment of the present invention, the determination of the weight discrete data for the second channel and the regulation of the weight-related components and target control parameters based on the weight discrete data are the same as the corresponding specific methods for the first channel mentioned above, and will not be repeated here.

[0105] In the embodiments of the present invention, the mean of the standard deviation of cigarette weight is used as the basis for local components, and the standard deviation of the mean of cigarette weight is used as the basis for adjusting the control parameters of the overall system of the production channel. This can more effectively perform relevant adjustments and controls on the cigarette-making machine based on the discrete situation of cigarette weight, thereby improving the accuracy of weight control and further improving the weight uniformity of the produced batches of cigarettes.

[0106] The technical solution of the embodiment of the present invention is to obtain multiple first cigarette sets by dividing the first component cigarettes, wherein the first cigarette set includes at least two of the first cigarettes; for each first cigarette set, determine the second standard deviation value between the first weight values ​​of multiple first cigarettes in the first cigarette set, and determine the second weight mean between the first weight values ​​of multiple first cigarettes in the first cigarette set; determine the second deviation mean between multiple second standard deviation values, and determine the third standard deviation value between multiple second weight means; use the second deviation mean and the third standard deviation value as the weight discrete data corresponding to the first component cigarettes. The present invention achieves the effect of calculating the weight discrete data characterizing the degree of weight discreteness of cigarettes produced in each production channel in the scenario of cigarette production based on a dual-channel cigarette making machine.

[0107] Figure 4 1 is an overall flow chart of a method for controlling cigarette weight according to an embodiment of the present invention. Figure 4 The overall process of the method for controlling the weight of cigarettes is further described below.

[0108] For a dual-channel cigarette making machine of a certain target model, the specific steps of the present invention and the corresponding specific data may be as follows:

[0109] 1. Determine the corresponding evaluation index for the uniformity of cigarette weight distribution, which may include:

[0110] 1) Short-term standard deviation (the average of the standard deviation values ​​between multiple weight values) is used to characterize the abnormal weight distribution of cigarettes caused by the wire feeder part of the dual-channel cigarette making machine, indicating the degree of discreteness of cigarette weight.

[0111] 2) Long-term standard deviation (standard deviation of the mean between multiple weight values) is used to characterize the abnormal uniformity of cigarette weight distribution caused by incomplete adaptation of some control parameters of the rolling and molding machine of the dual-channel cigarette making machine, and indicates the degree of discreteness of the mean weight deviation of cigarettes.

[0112] 2. According to historical data, determine the reasonable conditions of the above indicators. For example, the reasonable conditions of the short-term standard deviation (Sstd) are set as: Sstd ≤ 9.0 mg, and the reasonable conditions of Lstd are set as: Lstd ≤ 2.5 mg. In order to avoid the risk of generalizing due to random sampling, the present invention sets a comprehensive evaluation index to intuitively and comprehensively characterize the weight dispersion of the sample. The comprehensive index can be the weight dispersion value η. The calculation formula can be: η = α*Sstd + (1-α) * Lstd.

[0113] Wherein, α is a variable parameter, and the value of α can be determined according to the models of different dual-channel cigarette making machines.

[0114] For example, the reasonable condition of the comprehensive index is: η≤6.0 mg, α is selected as 0.5, and the values ​​of the short-term standard deviation Sstd and the long-term standard deviation Lstd are 9.9 mg and 2.6 mg respectively, then η=6.25 mg is calculated. Based on η, it is determined whether the overall mixed sample of the weight of the cigarettes in the two channels within an observation period is at a normal level. Based on the above data, η exceeds 6.0 mg, and it is considered that the weight uniformity of the batch of cigarettes is abnormal.

[0115] 3. Further investigate the reasons that lead to the abnormal indicator, for example, the abnormality is caused by a specific indicator of a specific production channel, and then take different adjustment measures.

[0116] 4. Calculate the evaluation index of cigarette weight of each production channel, which is short-term standard deviation and long-term standard deviation. The batch production of cigarettes in a certain period can be taken as the calculation sample.

[0117] 5. According to data calculation, the short-term standard deviation of the front channel (i.e. the first channel) is 10.2 mg, and the long-term standard deviation is 2.4 mg. Based on the reasonable judgment conditions of the above indicators, it is considered that the short-term standard deviation of this channel is abnormal. Then, a specific control strategy is adopted to adjust the mechanical part of the tobacco feeding machine to optimize the control of cigarette weight. Among them, the adjusted mechanical parts and adjustment sequence can be basically consistent with the current consensus in the industry, and no specific limitation is made here.

[0118] 6. According to data calculation, the short-term standard deviation of the back channel (i.e. the second channel) is 8.5 mg, and the long-term standard deviation is 2.9 mg. Based on the reasonable judgment conditions of the above indicators, it is considered that the long-term standard deviation of this channel is abnormal. Therefore, the control parameters of the cigarette forming machine weight control system are adjusted to optimize the cigarette weight.

[0119] In this embodiment, a particle swarm optimization (PSO) algorithm can be used to adjust the control parameters of the system. Specifically:

[0120] Determine the control parameters to be optimized. The control parameters may be system parameters associated with the weight control system of the cigarette making machine. For example, the control parameters may be proportional parameters, integral parameters, and differential parameters associated with a PID (Proportion Integration Differentiation) controller; further, determine the objective function to be optimized. The objective function may be a function for accumulating output errors of the weight control system; determine input data; determine the accumulated control error of 100 steps under the preliminary PID parameters; determine output data: optimized PID control parameters; wherein the internal parameters of the PSO algorithm mainly include the number of particles N, learning factors c1, c2, inertia factor ω, maximum number of iterations M, and number of independent variables D.

[0121] Relatedly, the iteration formula related to the PSO algorithm can be shown as follows:

[0122] v i =ω×v i +c1×rand()×(pbest-x i )+c2×rand()×(gbest i -x i );

[0123] x i =x i +v i ;

[0124] The above formula uses the individual historical optimal position pbest and the global historical optimal position gbest to update the speed and position of the i-th particle. rand() can represent a random number between 0 and 1; the learning factors c1 and c2 can be set to 2, and limit v i The maximum value is the preset value v max To ensure the convergence of the algorithm. In the first formula above, the iterative update depends on the addition of three parts. The first part is the memory term, which represents the influence of the last speed and direction; the second part is the self-cognition term, which is a vector pointing from the current point to the best point of the particle itself, indicating that the particle's action comes from its own experience; the third part is called the group cognition term, which is a vector pointing from the current point to the best point of the population, reflecting the coordination and knowledge sharing between particles. The particle decides the next movement based on its own experience and the best experience of its companions.

[0125] Furthermore, the ω used in the memory term is an inertia factor, which can be set to a non-negative value. When ω is large, the global optimization capability is strong and the local optimization capability is weak; when ω is small, the global optimization capability is weak and the local optimization capability is strong. Before optimization, the method of dynamically changing ω during the PSO search process can be used to adjust the global and local search capabilities and improve the algorithm performance.

[0126]

[0127] The above formula adopts the linear reduction strategy of inertia weight. max Represent the current number of iterations and the maximum number of iterations, ω i and ω f They represent the initial and final values ​​of the inertia weight, which can be set to 0.9 and 0.4 respectively.

[0128] The above steps are executed on a cyclic basis to monitor the short-term standard deviation and the long-term standard deviation of each production channel until the judgment condition is met.

[0129] Based on the above-mentioned embodiment scheme, the present invention presets stability evaluation indicators of the dual-channel cigarette making machine in the overall dimension of cigarette weight and the component dimension of each channel, and determines whether the tobacco supply machine part is abnormal or the tobacco rolling and forming machine control part is abnormal by calculating the indicators, so as to adjust the control parameters of the mechanical structure or the system as a whole, thereby achieving the effect of improving the stability of cigarette weight control, improving the stability of suction resistance and reducing tobacco consumption.

[0130] Embodiment 3

[0131] Figure 5 This is a schematic diagram of the structure of a cigarette weight control device provided in Embodiment 3 of the present invention. Figure 5 As shown, the device includes: a weight data acquisition module 310, a total discrete value determination module 320, a discrete data determination module 330 and a component parameter control module 340.

[0132] Among them, the weight data acquisition module 310 is used to obtain the cigarette weight data corresponding to the total amount of produced cigarettes of the reference batch, wherein the total amount of produced cigarettes is obtained by producing cigarettes on the reference batch of tobacco by a dual-channel cigarette-making machine, and the dual-channel cigarette-making machine includes two production channels; the total discrete value determination module 320 is used to determine the weight discrete value corresponding to the total amount of produced cigarettes according to the tobacco weight data; the discrete data determination module 330 is used to obtain the component weight data of the component produced cigarettes corresponding to the production channel for each production channel when the weight discrete value exceeds a preset weight discrete threshold, and determine the weight discrete data corresponding to the component produced cigarettes according to the component weight data; the component parameter control module 340 is used to control the weight-related components and / or target control parameters of the dual-channel cigarette-making machine according to the weight discrete data.

[0133] The technical solution of the embodiment of the present invention is to obtain the cigarette weight data corresponding to the total amount of cigarettes produced of a reference batch, wherein the total amount of cigarettes produced is obtained by producing cigarettes on a reference batch of tobacco by a dual-channel cigarette-making machine, and the dual-channel cigarette-making machine includes two production channels; determine the weight discrete value corresponding to the total amount of cigarettes produced according to the tobacco weight data; when the weight discrete value exceeds a preset weight discrete threshold, obtain the component weight data of the component cigarettes produced corresponding to each of the production channels, and determine the weight discrete data corresponding to the component cigarettes produced according to the component weight data; and regulate the weight-related components and / or target control parameters of the dual-channel cigarette-making machine according to the weight discrete data. The present invention realizes the effect of judging whether the weight uniformity of cigarettes produced by a dual-channel cigarette-making machine is abnormal by calculating the weight discrete value of the total weight of cigarettes produced in a reference batch, and in abnormal circumstances, realizing the weight discrete data representing the weight discreteness of the cigarettes produced in each production channel by calculating the weight discrete data of the cigarette weight, so as to adjust the components or control parameters corresponding to the production channel in a targeted manner, effectively regulate the weight discreteness of the cigarette weight, and improve the effect of improving the weight distribution uniformity of batch-produced cigarettes.

[0134] Optionally, the total amount of produced cigarettes includes a plurality of target cigarettes, and the cigarette weight data includes a cigarette weight value corresponding to each of the target cigarettes;

[0135] The total discrete value determination module 320 includes: a set partitioning unit, a first calculation unit, a second calculation unit, and a total discrete value determination unit;

[0136] The set division unit is used to divide the total amount of produced cigarettes to obtain a plurality of produced cigarette sets, wherein the produced cigarette sets include at least two of the target cigarettes;

[0137] The first calculation unit is used to determine, for each of the production cigarette sets, a first standard deviation value between the cigarette weight values ​​of the plurality of target cigarettes in the production cigarette set, and to determine a first weight mean value between the cigarette weight values ​​of the plurality of target cigarettes in the production cigarette set;

[0138] The second calculation unit is used to determine a first deviation mean value between a plurality of first standard deviation values, and determine a second standard deviation value between a plurality of first weight mean values;

[0139] The total discrete value determination unit is used to determine the weight discrete value corresponding to the total amount of produced cigarettes according to the first deviation mean value and the second standard deviation value.

[0140] Optionally, the total discrete value determination unit is specifically configured to:

[0141] The weight discrete value corresponding to the total amount of cigarettes produced is determined according to the first deviation mean, the second standard deviation and a preset target coefficient, wherein the target coefficient is determined based on the properties of the dual-channel cigarette making machine.

[0142] Optionally, the production channel includes a first channel or a second channel, the portion of cigarettes produced includes a first portion of cigarettes corresponding to the first channel or a second portion of cigarettes corresponding to the second channel, the total amount of cigarettes produced is the sum of the first portion of cigarettes and the second portion of cigarettes, the portion weight data includes first weight data corresponding to the first portion of cigarettes or second weight data corresponding to the second portion of cigarettes, the weight-related components include a first component corresponding to the first channel or a second component corresponding to the second channel, and the target control parameters include a first control parameter corresponding to the first channel or a second control parameter corresponding to the second channel.

[0143] Optionally, the first quantity of cigarettes includes a plurality of first cigarettes, and the first weight data includes a first weight value corresponding to each of the first cigarettes;

[0144] The separated scattered data determination module 330 is specifically used for:

[0145] Dividing the first component cigarettes to obtain a plurality of first cigarette sets, wherein the first cigarette sets include at least two of the first cigarettes;

[0146] For each of the first cigarette sets, determining a second standard deviation value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set, and determining a second weight mean value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set;

[0147] determining a second deviation mean value between a plurality of second standard deviation values, and determining a third standard deviation value between a plurality of second weight mean values;

[0148] The second deviation mean and the third standard deviation value are used as weight discrete data corresponding to the first component of cigarettes.

[0149] Optionally, the component parameter control module 340 is specifically used to:

[0150] When the second deviation mean exceeds a preset mean threshold, the first component of the dual-channel cigarette making machine is regulated according to the second deviation mean, wherein the first component at least includes a pressing wheel and a tobacco shred leveler;

[0151] When the third standard deviation exceeds a preset deviation threshold, the first control parameter of the dual-channel cigarette making machine is regulated according to the third standard deviation, wherein the first control parameter is a system control parameter related to cigarette weight.

[0152] Optionally, the cigarette weight control device further comprises: a cigarette making machine determination module and a cigarette production module;

[0153] The cigarette making machine control determination module is used to determine the regulated dual-channel cigarette making machine according to the regulated weight-related components and / or the regulated target control parameters after the weight-related components and / or the regulated target control parameters of the dual-channel cigarette making machine are regulated according to the weight discrete data;

[0154] The cigarette production module is used to determine a target batch of cigarettes, wherein the target batch of cigarettes is obtained by producing cigarettes from a target batch of shredded tobacco by the regulated dual-channel cigarette-making machine.

[0155] The cigarette weight control device provided in the embodiment of the present invention can execute the cigarette weight control method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0156] Embodiment 4

[0157] Figure 6A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital 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.

[0158] like Figure 6 As 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.

[0159] 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.

[0160] 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 regulating cigarette weight.

[0161] In some embodiments, the method for regulating cigarette weight 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 regulating cigarette weight described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for regulating cigarette weight in any other appropriate manner (e.g., by means of firmware).

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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).

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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 regulating cigarette weight, characterized in that: include: Obtaining cigarette weight data corresponding to a total amount of produced cigarettes of a reference batch, wherein the total amount of produced cigarettes is obtained by producing cigarettes from the reference batch of shredded tobacco using a dual-channel cigarette-making machine, the dual-channel cigarette-making machine including two production channels; Determine the weight discrete value corresponding to the total amount of produced cigarettes according to the shredded tobacco weight data; In the case where the weight discrete value exceeds a preset weight discrete threshold, for each of the production channels, obtaining the weight data of the cigarettes produced by the production channel, and determining the weight discrete data corresponding to the cigarettes produced by the production channel according to the weight data; The weight-related components and / or target control parameters of the dual-channel cigarette making machine are regulated according to the weight discrete data.

2. The method according to claim 1, characterized in that The total amount of produced cigarettes includes a plurality of target cigarettes, and the cigarette weight data includes a cigarette weight value corresponding to each of the target cigarettes; and determining the weight discrete value corresponding to the total amount of produced cigarettes according to the shredded tobacco weight data includes: Dividing the total amount of produced cigarettes to obtain a plurality of produced cigarette sets, wherein the produced cigarette sets include at least two of the target cigarettes; For each of the production cigarette sets, determine a first standard deviation value between the cigarette weight values ​​of the multiple target cigarettes in the production cigarette set, and determine a first weight mean value between the cigarette weight values ​​of the multiple target cigarettes in the production cigarette set; determining a first deviation mean value between a plurality of the first standard deviation values, and determining a second standard deviation value between a plurality of the first weight mean values; The weight discrete values ​​corresponding to the total amount of cigarettes produced are determined according to the first deviation mean and the second standard deviation.

3. The method according to claim 2, characterized in that The determining of the weight discrete value corresponding to the total amount of produced cigarettes according to the first deviation mean and the second standard deviation value includes: The weight discrete value corresponding to the total amount of cigarettes produced is determined according to the first deviation mean, the second standard deviation and a preset target coefficient, wherein the target coefficient is determined based on the properties of the dual-channel cigarette making machine.

4. The method according to claim 1, characterized in that: The production channel includes a first channel or a second channel, the portion of cigarettes produced includes a first portion of cigarettes corresponding to the first channel or a second portion of cigarettes corresponding to the second channel, the total amount of cigarettes produced is the sum of the first portion of cigarettes and the second portion of cigarettes, the portion weight data includes the first weight data corresponding to the first portion of cigarettes or the second weight data corresponding to the second portion of cigarettes, the weight-related components include the first component corresponding to the first channel or the second component corresponding to the second channel, and the target control parameters include the first control parameters corresponding to the first channel or the second control parameters corresponding to the second channel.

5. The method according to claim 4, characterized in that The first batch of cigarettes includes a plurality of first cigarettes, and the first weight data includes a first weight value corresponding to each of the first cigarettes; and determining the weight discrete data corresponding to the batch of cigarettes produced according to the batch weight data includes: Dividing the first component cigarettes to obtain a plurality of first cigarette sets, wherein the first cigarette sets include at least two of the first cigarettes; For each of the first cigarette sets, determining a second standard deviation value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set, and determining a second weight mean value between the first weight values ​​of the plurality of first cigarettes in the first cigarette set; determining a second deviation mean value between a plurality of second standard deviation values, and determining a third standard deviation value between a plurality of second weight mean values; The second deviation mean and the third standard deviation value are used as weight discrete data corresponding to the first component of cigarettes.

6. The method according to claim 5, characterized in that The regulating and controlling the weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data includes: When the second deviation mean exceeds a preset mean threshold, the first component of the dual-channel cigarette making machine is regulated according to the second deviation mean, wherein the first component at least includes a pressing wheel and a tobacco shred leveler; When the third standard deviation exceeds a preset deviation threshold, the first control parameter of the dual-channel cigarette making machine is regulated according to the third standard deviation, wherein the first control parameter is a system control parameter related to cigarette weight.

7. The method according to claim 1, characterized in that After the weight-related components and / or target control parameters of the dual-channel cigarette making machine are regulated according to the weight discrete data, the method further includes: Determining the adjusted dual-channel cigarette making machine according to the adjusted weight-related components and / or the adjusted target control parameters; A target batch of cigarettes is determined, wherein the target batch of cigarettes is produced by producing cigarettes from a target batch of shredded tobacco by the regulated dual-channel cigarette-making machine.

8. A device for regulating cigarette weight, characterized in that: include: A weight data acquisition module, used to acquire cigarette weight data corresponding to a total amount of produced cigarettes of a reference batch, wherein the total amount of produced cigarettes is obtained by producing cigarettes from the reference batch of shredded tobacco using a dual-channel cigarette-making machine, wherein the dual-channel cigarette-making machine includes two production channels; A total discrete value determination module, used to determine the weight discrete value corresponding to the total amount of produced cigarettes according to the shredded tobacco weight data; A discrete data determination module is used to obtain, for each of the production channels, the weight data of the cigarettes produced by the production channel when the weight discrete value exceeds a preset weight discrete threshold, and determine the weight discrete data corresponding to the cigarettes produced by the production channel according to the weight discrete data; A component parameter control module is used to control weight-related components and / or target control parameters of the dual-channel cigarette making machine according to the weight discrete data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the material separation control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for controlling cigarette weight according to any one of claims 1 to 7 when executed.

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