Model construction, prediction and recommendation method and device for cigarette design, electronic equipment and medium

Abstract

The invention provides a cigarette design model construction, prediction and recommendation method and device, electronic equipment and a medium, and the model construction method comprises the steps: obtaining the smoke release amount of a reference cigarette and cigarette auxiliary material parameters, and constructing a smoke apparent function of the reference cigarette; the smoke release amount and cigarette auxiliary material parameters of a target cigarette are obtained, and a smoke apparent function of the target cigarette is constructed; and obtaining a cigarette design model based on the ratio of the smoke apparent function of the reference cigarette to the smoke apparent function of the target cigarette, the smoke release amount of the reference cigarette and the smoke release amount of the target cigarette. According to the method, all parameters of the cigarette auxiliary materials are considered, the established cigarette design model not only can accurately predict the smoke release amount of the target cigarette, but also can recommend the auxiliary material parameter combination according to the smoke expected value of the target cigarette, meanwhile, auxiliary material design in two cigarette design processes is achieved, the research and development efficiency is effectively improved, the test cost is reduced, and the method is suitable for popularization and application. The method has guiding significance in research, development and production of cigarettes.

Description

Technical Field

[0001] This disclosure relates to the field of computer technology, and in particular to a method, apparatus, electronic device, and medium for model building, prediction, and recommendation in cigarette design. Background Technology

[0002] As a widely consumed tobacco product globally, cigarette design and development are crucial processes in the tobacco industry. In cigarette manufacturing, besides the tobacco blend itself having a decisive impact on product quality, various auxiliary materials also play a vital role. These auxiliary materials include, but are not limited to, cigarette paper, tipping paper, forming paper, and filter rods. Each auxiliary material has specific functions and properties, such as filtration, structural support, and smoke conditioning. Their physical and chemical parameters directly affect the dilution and diffusion capabilities of the smoke, the content of mainstream smoke components, and the sensory quality of the final product.

[0003] Currently, there are two main cigarette design processes in the industry: the first starts with auxiliary material parameters, predicts smoke emission, and then designs the leaf blend; the second designs the leaf blend formula first, and then uses the target smoke emission to deduce the auxiliary material parameters. While both methods can guide product design to some extent, they both have limitations. Existing technologies typically only consider the impact of some auxiliary material parameters on smoke emission, lacking comprehensiveness and accuracy. For example, some predictive models may only focus on changes in tar content, ignoring the release of other important smoke components. Furthermore, existing methods often require complex adjustments and trial-and-error processes in practice, making it impossible to quickly derive recommended auxiliary material parameters directly from the target smoke emission, resulting in low design efficiency.

[0004] Therefore, how to provide a bidirectional reversible cigarette accessory design method to simultaneously realize accessory design in two cigarette design processes, and assist product designers in completing cigarette design better and faster, has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the purpose of this disclosure is to provide a method, apparatus, electronic device and medium for model building, prediction and recommendation of cigarette design, so as to solve the problems in the related art.

[0006] The first aspect of this disclosure provides a method for constructing a cigarette design model, comprising: obtaining the smoke emission amount and cigarette auxiliary material parameters of a reference cigarette, and constructing the smoke apparent function of the reference cigarette; obtaining the smoke emission amount and cigarette auxiliary material parameters of a target cigarette, and constructing the smoke apparent function of the target cigarette; and deriving a cigarette design model based on the ratio of the smoke apparent functions of the reference cigarette and the target cigarette, the smoke emission amount of the reference cigarette, and the smoke emission amount of the target cigarette.

[0007] In the first aspect of the embodiment, the cigarette design model is specifically represented as follows: Where, f(x) 11 ,…,x n1 f(x) is the apparent function of the smoke from the reference cigarette; 12 ,…,x n2 y1 is the apparent smoke emission of the target cigarette; y2 is the smoke emission of the reference cigarette; x is the smoke emission of the target cigarette; y1 is the smoke emission of the reference cigarette; y2 is the smoke emission of the target cigarette; x is the smoke emission of the reference ... target cigarette; y2 is the smoke emission of the reference cigarette; 11 , ..., x n1 Cigarette auxiliary material parameters for reference cigarettes; x 12 , ..., x n2 The parameters of cigarette auxiliary materials for the target cigarette.

[0008] In the embodiments of the first aspect, the cigarette auxiliary material parameters are one or more combinations of cigarette paper air permeability, cigarette paper basis weight, cigarette paper combustion aid content, cigarette paper filler, tipping paper width, tipping paper air permeability, forming paper air permeability, filter rod pressure drop, tobacco weight, tobacco rod pressure drop, and cigarette specifications.

[0009] In an embodiment of the first aspect, the flue gas includes one or more of tar, nicotine, and carbon monoxide.

[0010] In an embodiment of the first aspect, the reference cigarette is produced using a fixed tobacco leaf formula, production process, and cigarette auxiliary materials, and the auxiliary material parameters of the target cigarette are adjusted based on the auxiliary material parameters of the reference cigarette.

[0011] The second aspect of this disclosure discloses a method for predicting the amount of smoke emitted, comprising: obtaining cigarette auxiliary material parameters of a reference cigarette and a target cigarette respectively; constructing a smoke apparent function for the reference cigarette and a smoke apparent function for the target cigarette based on the cigarette auxiliary material parameters; obtaining the measured smoke value of the reference cigarette; inputting the smoke apparent function of the target cigarette, the smoke apparent function of the reference cigarette, and the measured smoke value of the reference cigarette into the cigarette design model as described in claim 1 for processing; and obtaining a predicted value of the smoke emitted by the target cigarette.

[0012] In a second aspect embodiment, constructing the apparent smoke function of the target cigarette includes: comparing the cigarette specifications of the reference cigarette and the target cigarette; wherein the cigarette specifications include the cigarette length and the cigarette circumference; if the specifications of the reference cigarette and the target cigarette are different, then adjusting the initial apparent smoke function of the target cigarette using a preset correction coefficient to obtain the apparent smoke function of the target cigarette.

[0013] This disclosure, in a third aspect, discloses a method for recommending cigarette auxiliary materials, comprising: obtaining cigarette auxiliary material parameters of a reference cigarette; constructing a smoke apparent function of the reference cigarette based on the auxiliary material parameters of the reference cigarette; obtaining measured smoke values ​​of the reference cigarette and expected smoke values ​​of a target cigarette; inputting the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette into the cigarette design model as described in claim 1 for processing; obtaining the smoke apparent function of the target cigarette; and calculating the optimal combination of cigarette auxiliary material parameters based on the smoke apparent function of the target cigarette, so that the smoke release of the target cigarette is close to the expected smoke value.

[0014] In a third embodiment, the optimal combination of cigarette auxiliary material parameters is calculated by a genetic algorithm.

[0015] This disclosure discloses a fourth aspect of a cigarette design model construction apparatus, comprising: a first function module for acquiring the smoke release amount and cigarette auxiliary material parameters of a reference cigarette, and constructing the smoke apparent function of the reference cigarette; a second function module for acquiring the smoke release amount and cigarette auxiliary material parameters of a target cigarette, and constructing the smoke apparent function of the target cigarette; and a model generation module for deriving a cigarette design model based on the ratio of the smoke apparent functions of the reference cigarette and the target cigarette, the smoke release amount of the reference cigarette, and the smoke release amount of the target cigarette.

[0016] This disclosure discloses a smoke emission prediction device in a fifth aspect, comprising: a first acquisition module for acquiring cigarette auxiliary material parameters of a reference cigarette and a target cigarette respectively; a third function module for constructing a smoke apparent function of the reference cigarette and a smoke apparent function of the target cigarette based on the cigarette auxiliary material parameters respectively; a second acquisition module for acquiring the measured smoke value of the reference cigarette; a first processing module for inputting the smoke apparent function of the target cigarette, the smoke apparent function of the reference cigarette, and the measured smoke value of the reference cigarette into a cigarette design model as described in the first aspect for processing; and a prediction module for obtaining a predicted value of the smoke emission of the target cigarette.

[0017] This sixth aspect of the disclosure discloses a cigarette accessory recommendation device, comprising: a third acquisition module for acquiring cigarette accessory parameters of a reference cigarette; a fourth function module for constructing a smoke appearance function of the reference cigarette based on the accessory parameters of the reference cigarette; a fourth acquisition module for acquiring measured smoke values ​​of the reference cigarette and expected smoke values ​​of a target cigarette; a second processing module for inputting the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette into a cigarette design model as described in the first aspect for processing; a function generation module for deriving the smoke appearance function of the target cigarette; and an accessory recommendation module for calculating an optimal combination of cigarette accessory parameters based on the smoke appearance function of the target cigarette, so that the smoke release of the target cigarette is close to the expected smoke value.

[0018] The seventh aspect of this disclosure discloses an electronic device, the electronic device comprising: a processor and a memory; wherein the memory is used to store a computer program; the processor is used to execute the computer program stored in the memory, so that the processor executes the computer program stored in the memory, so that the electronic device performs the cigarette design model construction method according to any embodiment of the first aspect, or the smoke emission prediction method according to any embodiment of the second aspect, or the cigarette auxiliary material recommendation method according to any embodiment of the third aspect.

[0019] The eighth aspect of this disclosure discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the method for constructing a cigarette design model as described in any embodiment of the first aspect, or the method for predicting smoke emission as described in any embodiment of the second aspect, or the method for recommending cigarette auxiliary materials as described in any embodiment of the third aspect.

[0020] As described above, this disclosure considers all parameters of cigarette auxiliary materials and establishes a cigarette design model. This cigarette design model can accurately predict the smoke release of the target cigarette in a forward direction and recommend the optimal combination of auxiliary material parameters in a reverse direction based on the set expected value of the target smoke. This cigarette design model satisfies the matching problem of all cigarette auxiliary materials in different cigarette design processes, effectively improves R&D efficiency, reduces experimental costs, and has guiding significance in cigarette R&D and production. Attached Figure Description

[0021] Figure 1 A flowchart illustrating a method for constructing a cigarette design model according to an embodiment of this disclosure is shown.

[0022] Figure 2 A flowchart illustrating a flue gas emission prediction method in one embodiment of this disclosure is shown.

[0023] Figure 3 A flowchart illustrating a method for recommending cigarette auxiliary materials according to an embodiment of this disclosure is shown.

[0024] Figure 4 A schematic diagram of the module of a cigarette design model construction device is shown in one embodiment of the present disclosure.

[0025] Figure 5 A schematic diagram of a flue gas emission prediction device is shown in one embodiment of this disclosure.

[0026] Figure 6 A schematic diagram of a cigarette auxiliary material recommendation device is shown in one embodiment of this disclosure.

[0027] Figure 7 A schematic diagram of the circuit structure of an electronic device according to an embodiment of the present disclosure is shown. Detailed Implementation

[0028] The following specific examples illustrate the implementation of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the information disclosed herein. This disclosure can also be implemented or applied through other different specific embodiments, and various details in this disclosure can be modified or changed according to different viewpoints and application modules without departing from the spirit of this disclosure. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this disclosure can be combined with each other.

[0029] Although not explicitly defined, all terms, including technical and scientific terms used herein, shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Terms defined in commonly used dictionaries shall be further interpreted as having a meaning consistent with the relevant technical literature and the message of the present disclosure, and shall not be over-interpreted as having an ideal or overly formulaic meaning unless otherwise defined.

[0030] The technical solutions of the present invention will now be described in detail with reference to the accompanying drawings.

[0031] like Figure 1 The diagram shows a flowchart of a method for constructing a cigarette design model according to an embodiment of the present disclosure, which includes steps S11-S13.

[0032] Step S11: Obtain the smoke release amount and cigarette auxiliary material parameters of the reference cigarette, and construct the smoke apparent function of the reference cigarette.

[0033] Step S12: Obtain the smoke release amount and cigarette auxiliary material parameters of the target cigarette, and construct the smoke apparent function of the target cigarette.

[0034] Specifically, reference cigarettes typically serve as research benchmarks, while target cigarettes are products developed to achieve a specific characteristic or standard. The relationship between reference and target cigarettes is mainly reflected in research references, quality standard setting, product design, and quality control during the production process. Through a deep understanding of the various indicators of reference cigarettes, the R&D team can better design target cigarettes that meet market demands and regulatory requirements.

[0035] In some embodiments, the reference cigarette is produced using a fixed tobacco leaf formula, production process, and cigarette auxiliary materials, and the auxiliary material parameters of the target cigarette are adjusted based on the auxiliary material parameters of the reference cigarette.

[0036] It is worth noting that, since the reference cigarette and the target cigarette in this disclosure are constructed using the same method to construct the apparent function of the smoke, in order to avoid redundancy in the description, the cigarettes in the following embodiments include the reference cigarette and the target cigarette.

[0037] In some embodiments, the cigarette auxiliary material parameters are one or more combinations of cigarette paper air permeability, cigarette paper basis weight, cigarette paper combustion aid content, cigarette paper filler, tipping paper width, tipping paper air permeability, forming paper air permeability, filter rod pressure drop, tobacco weight, tobacco rod pressure drop, and cigarette specifications.

[0038] Specifically, the permeability of cigarette paper affects the dilution of smoke and the strength of the inhalation; the basis weight of cigarette paper determines its thickness and strength, affecting the burning speed; the content of combustion aids in cigarette paper regulates the combustion performance of cigarettes; cigarette paper fillers, such as calcium carbonate, increase the whiteness and opacity of the paper; tipping paper width refers to the size of the tipping paper, affecting the appearance and structure of the cigarette; tipping paper permeability affects the release of smoke and the taste; the permeability of the forming paper also relates to the dilution of smoke and the taste; filter rod pressure drop, i.e., the resistance of the filter to the flow of smoke, affects the draw resistance; tobacco weight directly relates to the weight of the cigarette and the amount of smoke produced; tobacco rod pressure drop reflects the resistance of the tobacco rod to the flow of smoke; and cigarette specifications, including length and diameter, affect the overall design and appearance of the cigarette.

[0039] In some embodiments, the apparent function of cigarette smoke is constructed by using a central composite combined with orthogonal design to conduct multi-factor experiments to prepare cigarette samples and empirical data of cigarettes, and by establishing a relationship model between smoke release and cigarette auxiliary material parameters through a multivariate nonlinear stepwise regression method.

[0040] Specifically, constructing the apparent function of cigarette smoke is a process combining experimental design and mathematical modeling, including the following steps: First, determine the research factors, i.e., identify the key cigarette accessory parameters affecting smoke emission. After determining the research factors, select appropriate levels for each factor, i.e., different parameter values ​​or conditions, to conduct experiments. Based on the selected factors and their levels, create an experimental table using orthogonal design principles. This helps ensure that the influence of each factor can be examined uniformly and independently when experiments are conducted under different combinations of different factors. Conduct experiments according to the orthogonal experimental table, systematically changing the cigarette accessory parameters, and recording the smoke emission data for each experiment. After collecting all experimental data, analyze the data using multivariate nonlinear stepwise regression. This method helps to screen out factors that have a significant impact on smoke emission from numerous variables and establish a mathematical model describing the relationship between these factors and smoke emission, i.e., the apparent function of smoke based on cigarette accessory parameters.

[0041] In some embodiments, the flue gas includes one or more of tar, nicotine, and carbon monoxide. Correspondingly, the apparent functions of the flue gas include tar apparent function, nicotine apparent function, and carbon monoxide apparent function.

[0042] As a specific example, the apparent function f(x)_tar of the tar release and cigarette auxiliary material parameters is: f(x)_tar =

[0043] 6.0018 - 0.198 * (x2) 2 *x3+0.000016*x1*x8-0.0031*x2*x9-5.293*10 -5 *x4*x6+0.908*(x2) 2 +0.0071*(x2) 2 *(x3) 2 -0.0005*x2*x 10 +0.055*x9+0.322*x2*x3-0.0017*x3*x9+0.0031*x2*x4-1.674*10 -5 *x4*x9+0.504*(x7) 2 -1.527*x7+0.00069*x1*x6-1.339*10 -6 *x8*x9-0.0057*(x1) 2 +0.035*x1*x2+0.0188*x1*x3+

[0044] 0.00009*x2*x8-0.0025*x8+0.000076*x3*x8-0.00014*x1*x9+6.254*10 -8*(x8) 2 +4.192*10 -7 *x8*x1+

[0045] 0.00154*x3*x4-0.044323*x4+1.206*10 -6 *x4*x8+4.456*10 -5 *(x4) 2 -0.311*x6+0.0154*x2*x6+0.0076*x3*x6-1.572*x2+0.0015*(x6) 2 The apparent function f(x)_nic of the relationship between nicotine release and cigarette auxiliary material parameters is: -0.0985*x1+0.0013*x4*x7+0.00026*x5*x6.

[0046] f(x)_nic=-0.3641+0.00034*(x2) 2 *(x3) 2 +1.054*10 -6 *x1*x8-0.000114*x3*x9-1.941*10 -5 *x4*x7-0.0728*x2-0.0117*(x2) 2 *x3+0.051*(x2) 2 -3.054*10 -6 *x6*x 10 -3.079*10 -5 *(x5) 2 +0.0334*x2*x3+0.0034*x9-0.00016*x2*x9-0.00038*(x1) 2 -9.093*10 -8 *x8*x9+0.00179*x1*x2+0.001*x1*x3-9.687*10 -6 *x1*x9-0.00011*x8+2.907*10 -6 *x3*x8+3.172*10 -6 *x2*x8+3.818*10 -9 *(x8) 2 -6.61*10 -6 *x4*x6-3.045*10 -6 *x7*x 10 +0.00011*x2*x4-7.621*10 -7 *x4*x9+3.067*10 -6 *(x4)2 -3.256*10 -5 *x7*x9+0.0316*(x7) 2 -0.1308*x7+0.0057*x2*x7-0.0004*x2*x 10 +2.326*10 -7 *(x 10 ) 2 -0.0015*x4+6.447*10 -5 The apparent function f(x)_co of the carbon monoxide release and cigarette auxiliary material parameters of function (2) is:

[0047] f(x)_co=9.715249-0.0852*(x2) 2 *x3+0.000248*x1*x4-0.004018*x2*x9+0.0000217*x7*x8+0.0000198*x1*x 10 +0.182217*(x3) 2 -3.184*x3+0.549*(x2) 2 +0.059652*x9+6.124*10 -7 *x6*x8+0.024*x2*(x3) 2 +0.0000155*x5*x 10 -0.001787*x3*x9-0.000346*x4*x5+0.0042*x2*x4-3.129*10 -5 *x4*x9-0.005095*(x1) 2 +0.038743*x1*x2+0.020863*x1*x3-0.0006233*x2*x 10 +0.002582*x3*x4-0.048*x4-0.00014*x1*x9+6.96*10 -5 *(x4) 2 -0.408*(x7) 2 -0.0000955*x2*x8-0.000463*x4*x6+0.177*x2*x7+3.705*10 -8 *(x8) 2 -0.156*x1+0.005263*(x5) 2 -0.023*x2*x5+0.096*x3*x7-1.52*x7-5.891*10 -7 *x8*x9+6.253*10 -6*x1*x8+0.001803*x4*x7+2.924*10 -7 *x8*x 10 +0.006661*x2*x6-0.004537*x5*x6+0.001922*(x6) 2 Function (3)

[0048] Where f(x)_tar, f(x)_nic, and f(x)_co are the apparent functions of tar, nicotine, or carbon monoxide based on cigarette auxiliary material parameters, respectively; x1 is the tipping paper width; x2 is the natural logarithm of tipping paper air permeability; x3 is the natural logarithm of forming paper air permeability; x4 is cigarette paper air permeability; x5 is cigarette paper basis weight; x6 is cigarette paper filler content; x7 is cigarette paper combustion aid content; x8 is filter rod pressure drop; x9 is tobacco weight; x 10 This refers to the pressure drop of the tobacco stick.

[0049] Step S13: Based on the ratio of the apparent smoke function of the reference cigarette and the target cigarette, the smoke release of the reference cigarette, and the smoke release of the target cigarette, a cigarette design model is derived.

[0050] In some embodiments, the cigarette design model is specifically represented as follows:

[0051]

[0052] Where, f(x) 11 ,…,x n1 f(x) is the apparent function of the smoke from the reference cigarette; 12 ,…,x n2 y1 is the apparent smoke emission of the target cigarette; y2 is the smoke emission of the reference cigarette; x is the smoke emission of the target cigarette; y1 is the smoke emission of the reference cigarette; y2 is the smoke emission of the target cigarette; x is the smoke emission of the reference ... target cigarette; y2 is the smoke emission of the reference cigarette; 11 , ..., x n1 Cigarette auxiliary material parameters for reference cigarettes; x 12 , ..., x n2 The parameters of cigarette auxiliary materials for the target cigarette.

[0053] Through the above embodiments, a smoke apparent function based on cigarette auxiliary material parameters was constructed. This smoke apparent function considers all parameters of cigarette auxiliary materials, making the smoke apparent function more accurate. This model can help researchers predict how these components in the smoke will change when one or more auxiliary material parameters are altered, thereby designing products that meet specific release standards.

[0054] After constructing a cigarette design model, this model can be used to predict the amount of smoke emitted, such as... Figure 2 As shown, an embodiment of the present disclosure illustrates a method for predicting flue gas emission, including steps S21 to S25:

[0055] Step S21: Obtain the cigarette auxiliary material parameters of the reference cigarette and the target cigarette respectively.

[0056] Step S22: Based on the cigarette auxiliary material parameters, construct the apparent smoke function of the reference cigarette and the apparent smoke function of the target cigarette respectively.

[0057] In some embodiments, the construction of the apparent function of the target cigarette smoker further includes:

[0058] Step A: Compare the cigarette specifications of the reference cigarette and the target cigarette; wherein the cigarette specifications include the cigarette length and the cigarette circumference.

[0059] Specifically, the length of the cigarette ranges from 70mm to 97mm and the circumference of the cigarette ranges from 16mm to 25mm.

[0060] Step B: If the specifications of the reference cigarette and the target cigarette are different, the initial apparent function of the target cigarette is adjusted by applying a preset correction coefficient to obtain the apparent function of the target cigarette.

[0061] Specifically, when the target cigarette and the reference cigarette have the same specifications, the cigarette auxiliary material parameters of the target cigarette can be directly substituted into the apparent smoke function constructed in the first aspect embodiment to obtain the apparent smoke function of the specific target cigarette. If the target cigarette and the reference cigarette have different specifications, since cigarettes of different diameters and lengths will affect the burning rate, tobacco filling amount, and airflow dynamics, correction coefficients are needed to adjust for these differences to ensure that the calculation of smoke release is more accurate. These correction coefficients are usually derived from a large amount of experimental data and research, and are available as known data for researchers to consult.

[0062] Step S23: Obtain the measured value of the smoke from the reference cigarette.

[0063] Step S24: Input the apparent smoke function of the target cigarette, the apparent smoke function of the reference cigarette, and the measured smoke value of the reference cigarette into the cigarette design model as described in the first aspect embodiment for processing.

[0064] Step S25: Obtain the predicted value of the smoke release of the target cigarette.

[0065] The above embodiments use cigarette models to predict the amount of smoke released by a cigarette under specific cigarette auxiliary material parameters. Because the cigarette auxiliary material parameters are fully considered, the accuracy is high, which improves R&D efficiency, reduces costs, and helps to produce products that meet market and regulatory requirements.

[0066] To better illustrate the above implementation method, a specific example is given below.

[0067] The goal is to predict the amount of smoke released corresponding to different cigarette auxiliary material parameters. All tobacco leaf formulas and production processes are consistent with those of the reference cigarette. The auxiliary material parameters of the reference and target cigarettes are shown in Table 1.

[0068] Table 1. Reference and Target Cigarette Material Parameters

[0069]

[0070]

[0071] Samples 1 and 2 are identical in specifications to the reference cigarette, while sample 3 is a medium-sized cigarette. The smoke prediction steps for samples 1 and 2, which are identical in specifications to the reference cigarette, are as follows:

[0072] The apparent functions of tar, nicotine, and carbon monoxide corresponding to the reference cigarette auxiliary materials and the apparent functions of tar, nicotine, and carbon monoxide corresponding to the target cigarette auxiliary materials are calculated based on the functions (1) to (3) of the apparent functions of tar, nicotine, and carbon monoxide corresponding to the reference cigarette auxiliary materials. The measured values ​​of the smoke from the reference cigarette are known and input into the cigarette design model. The predicted values ​​of tar, nicotine and carbon monoxide release from cigarettes in samples 1 and 2 were obtained respectively.

[0073] The steps for predicting the smoke from sample 3, which has a different cigarette specification than the reference cigarette, are as follows:

[0074] Based on the apparent functions of tar, nicotine, and carbon monoxide and the functions (1) to (3) of cigarette auxiliary material parameters, the apparent functions of tar, nicotine, and carbon monoxide corresponding to the reference cigarette auxiliary material and the apparent functions of tar f1, nicotine f2, and carbon monoxide f3 corresponding to the target cigarette auxiliary material are calculated. Combined with the length of the actual burning tobacco and other physical models, the correction coefficients for the length and diameter of sample 3 cigarettes are obtained. First, length correction is performed: apparent function of tar f11 = (f1 - 6.8) * 1.03228 -5 +6.8, nicotine apparent function f21=(f2-0.5)*1.0342 -5 +0.5, carbon monoxide apparent function f31 = f3 + 0.2258. Then, diameter adjustment is performed: where tar apparent function f12 = f11 + 3.35, nicotine apparent function f22 = f21 + 0.21, and carbon monoxide apparent function f32 = f31 + 0.41. f12, f22, and f32 are the tar, nicotine, and carbon monoxide apparent functions corresponding to the auxiliary material parameters of the target cigarette, respectively. Given the measured smoke values ​​of the reference cigarette, input them into the cigarette design model, i.e. The predicted values ​​of tar, nicotine and carbon monoxide release from sample 3 cigarettes were obtained.

[0075] Furthermore, in order to verify the accuracy of the cigarette design model, the auxiliary material parameters of the sample cigarettes were used in actual cigarette production, and the values ​​were tested and compared with the predicted values ​​according to standard methods, as shown in Table 2.

[0076] Table 2 Comparison of Measured and Predicted Values ​​of Target Cigarette Smoke

[0077]

[0078]

[0079] It can be seen that the relative deviations between the model predictions and actual values ​​of tar, nicotine and carbon monoxide in the three auxiliary material design samples are all less than 5%. Therefore, the cigarette design model has a good prediction effect and high accuracy.

[0080] The cigarette design model disclosed herein can not only predict smoke emission in a forward manner, but also recommend the optimal combination of auxiliary material parameters in a reverse manner based on the expected smoke emission of the target cigarette. For example... Figure 3 As shown, an embodiment of the present disclosure illustrates a method for predicting flue gas emission, including steps S31 to S36:

[0081] Step 31: Obtain the cigarette auxiliary material parameters of the reference cigarette.

[0082] Step 32: Based on the auxiliary material parameters of the reference cigarette, construct the apparent function of the smoke of the reference cigarette.

[0083] Step 33: Obtain the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette.

[0084] Step 34: Input the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette into the cigarette design model as described in the first aspect embodiment for processing.

[0085] Step 35: Obtain the apparent function of the smoke of the target cigarette.

[0086] Step 36: Based on the apparent function of the target cigarette smoke, calculate the optimal combination of cigarette auxiliary material parameters so that the smoke release of the target cigarette smoke is close to the expected smoke value.

[0087] In the above embodiments, the cigarette design model can recommend the optimal combination of auxiliary material parameters in reverse based on the target smoke release of the target cigarette. This can meet the matching problem of auxiliary materials in different cigarette design processes, effectively improve R&D efficiency, reduce experimental costs, and has guiding significance in cigarette R&D and production.

[0088] In some embodiments, the optimal combination of cigarette auxiliary material parameters is calculated by a genetic algorithm.

[0089] In principle, the cigarette design model employs a genetic algorithm to recommend the optimal combination of auxiliary material parameters. This process begins with a randomly generated population, where each individual represents a possible solution, i.e., a specific combination of auxiliary material parameters. These solutions are then evaluated based on their fitness functions, typically defined according to the desired optimization targets such as tar, nicotine, and CO emissions. The genetic algorithm generates a new population through operations such as selection (choosing individuals with high fitness), crossover (mixing some features of two solutions), and mutation (randomly changing certain features to introduce new possibilities). This process is repeated cyclically, with each generation selecting the optimal individual based on the fitness function to reproduce the next generation, until the optimal solution is found or a certain stopping condition is met.

[0090] The beneficial effects of using genetic algorithms in cigarette auxiliary material design mainly include: due to the characteristics of global search capability, high efficiency, robustness, and parallelism, the application of genetic algorithms in the optimization of cigarette auxiliary material parameters can not only improve the quality and performance of product design, but also significantly reduce the time and economic costs of research and development.

[0091] To better illustrate the implementation of the method for recommending cigarette auxiliary materials, a specific example is given below.

[0092] The goal is to produce a batch of cigarettes with target tar content of 11 mg / cigarette, nicotine content of 0.8 mg / cigarette, and CO content of 12 mg / cigarette, using different auxiliary materials. All tobacco leaf formulations and production processes are consistent with those of the reference cigarettes, which have tar content of 9.1 mg / cigarette, nicotine content of 0.81 mg / cigarette, and CO content of 10.1 mg / cigarette. The auxiliary material parameters for the reference cigarettes are shown in Table 3. The measured smoke values ​​of the reference cigarettes and the expected smoke values ​​of the target cigarettes are input into the cigarette design model. Processing; obtaining the apparent smoke function of the target cigarette; based on the apparent smoke function of the target cigarette, calculating the optimal combination of cigarette auxiliary material parameters so that the smoke release of the target cigarette is close to the expected smoke value.

[0093] Table 3. Reference and Target Cigarette Material Parameters and Smoke Prediction

[0094]

[0095] As shown in Table 3, the genetic algorithm recommended three optimal combinations of auxiliary material parameters. Furthermore, the relative deviations between the predicted smoke values ​​obtained from these three sets of auxiliary material parameters and the expected smoke values ​​of the target cigarette were all less than 5%, indicating a good model pushing effect.

[0096] It should be specifically noted that the flowchart representations of the embodiments described above in this disclosure can be understood as representing modules, segments, or portions of code comprising one or more sets of executable instructions configured to implement specific logical functions or processes. Furthermore, the scope of the preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved.

[0097] like Figure 4 As shown, a cigarette design model construction apparatus 40 according to an embodiment of this disclosure is illustrated. It should be noted that the principle and technical implementation of the cigarette design model construction apparatus can be referenced from the cigarette design model construction method embodiments in previous embodiments (e.g., Figure 1 Therefore, this embodiment will not repeat the details.

[0098] Specifically, the cigarette design model construction device 40 includes: a first function module 41, a second function module 42, and a model generation module 43, wherein,

[0099] The first function module 41 is used to obtain the smoke release amount and cigarette auxiliary material parameters of the reference cigarette and construct the smoke appearance function of the reference cigarette.

[0100] The second function module 42 is used to obtain the smoke release amount and cigarette auxiliary material parameters of the target cigarette and construct the smoke appearance function of the target cigarette.

[0101] The model generation module 43 is used to derive a cigarette design model based on the ratio of the apparent function of the smoke of the reference cigarette and the target cigarette, the amount of smoke released by the reference cigarette, and the amount of smoke released by the target cigarette.

[0102] like Figure 5 As shown, a flue gas emission prediction device 50 is illustrated in one embodiment of this disclosure. It should be noted that the principle and technical implementation of the flue gas emission prediction device can refer to the flue gas emission prediction method embodiments in previous embodiments (e.g., Figure 2 Therefore, this embodiment will not repeat the details.

[0103] Specifically, the flue gas emission prediction device 50 includes: a first acquisition module 51, a third function module 52, a second acquisition module 53, a first processing module 54, and a prediction module 55, wherein,

[0104] The first acquisition module 51 is used to acquire the cigarette auxiliary material parameters of the reference cigarette and the target cigarette respectively;

[0105] The third function module 52 is used to construct the apparent smoke function of the reference cigarette and the apparent smoke function of the target cigarette based on the cigarette auxiliary material parameters.

[0106] The second acquisition module 53 is used to acquire the measured value of the smoke from the reference cigarette.

[0107] The first processing module 54 is used to input the apparent function of the target cigarette, the apparent function of the reference cigarette, and the measured value of the smoke of the reference cigarette into the cigarette design model as described in the first aspect embodiment for processing.

[0108] The prediction module 55 is used to obtain the predicted value of the smoke release of the target cigarette.

[0109] like Figure 6 As shown, a cigarette auxiliary material recommendation device 60 is illustrated in one embodiment of this disclosure. It should be noted that the principle and technical implementation of the cigarette auxiliary material recommendation device can refer to the cigarette auxiliary material recommendation method embodiments in previous embodiments (e.g., Figure 3 Therefore, this embodiment will not repeat the details.

[0110] Specifically, the cigarette auxiliary material recommendation device 60 includes: a third acquisition module 61, a fourth function module 62, a fourth acquisition module 63, a second processing module 64, a function generation module 65, and an auxiliary material recommendation module 66, wherein,

[0111] The third acquisition module 61 is used to acquire the cigarette auxiliary material parameters of the reference cigarette;

[0112] The fourth function module 62 is used to construct the apparent function of the smoke of the reference cigarette based on the auxiliary material parameters of the reference cigarette.

[0113] The fourth acquisition module 63 is used to acquire the measured value of the smoke from the reference cigarette and the expected value of the smoke from the target cigarette.

[0114] The second processing module 64 is used to input the measured smoke value of the reference cigarette and the expected smoke value of the target cigarette into the cigarette design model as described in the first aspect embodiment for processing.

[0115] The function generation module 65 is used to derive the apparent function of the smoke of the target cigarette.

[0116] The auxiliary material recommendation module 66 is used to calculate the optimal combination of cigarette auxiliary material parameters based on the apparent function of the smoke of the target cigarette, so that the smoke release of the target cigarette is close to the expected smoke value.

[0117] It should be noted that, in Figures 4 to 6The various functional modules in the embodiments can be implemented, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, they can be implemented, in whole or in part, in the form of a program instruction product. A program instruction product includes one or a set of program instructions. When the program instructions are loaded and executed on a computer, all or part of the flow or function according to this disclosure is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The program instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another.

[0118] and, Figures 4 to 6 The apparatus disclosed in the embodiments can be implemented through other modular division methods. The apparatus embodiments shown above are merely illustrative. For example, the module division is only a logical functional division, and in actual implementation, there may be other division methods. For example, a group of modules or modules may be combined or dynamically integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces, and the indirect coupling or communication connection between devices or modules may be electrical or other forms.

[0119] in addition, Figures 4 to 6 The functional modules and sub-modules in the embodiments can be dynamically integrated within a single processing unit, or each module can exist physically independently, or two or more modules can be dynamically integrated within a single unit. These dynamic units can be implemented in hardware or as software functional modules. If these dynamic units are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. This storage medium can be a read-only memory, a hard disk, or an optical disk, etc.

[0120] like Figure 7 The diagram shown illustrates the structure of an electronic device according to an embodiment of this disclosure.

[0121] The electronic device can execute computer program instructions to perform tasks such as Figures 1 to 3 The method in any of the above. Exemplarily, the electronic device may be a server group / server, desktop computer, laptop computer, etc., for running such... Figure 1 The model building method described in the text derives a cigarette design model from the results. Alternatively, the electronic device can be a cloud-based server / server group, distributed computing node system, etc., that communicates remotely with a local terminal, and executes... Figure 2 The method for predicting smoke emission in cigarettes aims to positively predict the smoke emission of a target cigarette based on cigarette auxiliary material parameters. Alternatively, the electronic device can be a distributed computing node system that executes... Figure 3 The method for recommending cigarette auxiliary materials in this paper recommends the optimal combination of auxiliary material parameters in reverse order based on the expected value of the smoke release of the target cigarette.

[0122] The electronic device 70 includes a bus 71, a processor 72, and a memory 73. The processor 72 and the memory 73 can communicate via the bus 71. The memory 73 can store program instructions. The processor 72 implements the method steps in the previous embodiments by executing the program instructions in the memory 73, such as... Figures 1 to 3 Any one of the methods.

[0123] Bus 61 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, although only one thick line is used in the diagram, this does not indicate that there is only one bus or one type of bus.

[0124] In some embodiments, processor 72 may be implemented as a central processing unit (CPU), microprocessor unit (MCU), system-on-chip (System-on-Chip), or field-programmable array (FPGA). Memory 73 may include volatile memory for temporary data storage during program execution, such as random access memory (RAM).

[0125] The memory 73 may also include non-volatile memory for data storage, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state disk (SSD).

[0126] In some embodiments, the electronic device 70 may further include a communicator 74. The communicator 74 is used for communication with an external source. In specific examples, the communicator 74 may include one or more wired and / or wireless communication circuit modules. For example, the communicator 74 may include one or more of, such as a wired network card, a USB module, a serial interface module, etc. The wireless communication protocols followed by the wireless communication module include one or more of the following: Nearfield Communication (NFC) technology, Infrared (IR) technology, Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Time Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), Bluetooth (BT), and Global Navigation Satellite System (GNSS).

[0127] This disclosure also provides a computer-readable storage medium, characterized in that it stores program instructions, which are executed, for example... Figure 1 The method for constructing the cigarette design model in the embodiments, or performing, for example Figure 2 The flue gas emission prediction method in the embodiments, or the execution of, for example Figure 3 Recommended method for cigarette auxiliary materials in the embodiments.

[0128] That is, the method steps in the above embodiments are implemented as software or computer code that can be stored in a recording medium (such as CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as computer code that is originally stored in a remote recording medium or a non-transitory machine-readable medium and will be stored in a local recording medium after being downloaded via a network, so that the method represented herein can be stored in such software processing on a recording medium using a general-purpose computer, a special processor or programmable or special hardware (such as ASIC or FPGA).

[0129] In summary, the embodiments of this disclosure provide a method, apparatus, electronic device, and medium for cigarette design model construction, smoke emission prediction, and cigarette auxiliary material recommendation. They consider all parameters of cigarette auxiliary materials and, through the establishment of a mathematical model, accurately predict the smoke emission of a target cigarette or recommend auxiliary material parameters for a target cigarette based on a set target smoke emission. This bidirectional reversible cigarette design model can address the matching issues of auxiliary materials in different cigarette design processes, effectively improving R&D efficiency and reducing experimental costs, thus providing guidance in cigarette R&D and production.

[0130] The above embodiments are merely illustrative of the principles and effects of this disclosure and are not intended to limit this disclosure. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this disclosure. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this disclosure should still be covered by the claims of this disclosure.

Claims

1. A method for constructing a cigarette design model, characterized in that, include: Obtain the smoke emission and cigarette auxiliary material parameters of the reference cigarette, and construct the smoke apparent function of the reference cigarette. Obtain the smoke release amount and cigarette auxiliary material parameters of the target cigarette, and construct the smoke apparent function of the target cigarette; Based on the ratio of the apparent smoke function of the reference cigarette and the target cigarette, the smoke release of the reference cigarette, and the smoke release of the target cigarette, a cigarette design model is derived.

2. The method for constructing a cigarette design model according to claim 1, characterized in that: The cigarette design model is specifically represented as follows: Where, f(x) 11 ,…,x n1 f(x) is the apparent function of the smoke from the reference cigarette; 12 ,…,x n2 y1 is the apparent smoke emission of the target cigarette; y2 is the smoke emission of the reference cigarette; x is the smoke emission of the target cigarette; y1 is the smoke emission of the reference cigarette; y2 is the smoke emission of the target cigarette; x is the smoke emission of the reference ... target cigarette; y2 is the smoke emission of the reference cigarette; 11 , ..., x n1 Cigarette auxiliary material parameters for reference cigarettes; x 12 , ..., x n2 The parameters of cigarette auxiliary materials for the target cigarette.

3. The method for constructing a cigarette design model according to claim 1, characterized in that: The parameters of the cigarette auxiliary materials are one or more combinations of the following: cigarette paper air permeability, cigarette paper basis weight, cigarette paper combustion aid content, cigarette paper filler, tipping paper width, tipping paper air permeability, forming paper air permeability, filter rod pressure drop, tobacco weight, tobacco rod pressure drop, and cigarette specifications.

4. The method for constructing a cigarette design model according to claim 1, characterized in that: The flue gas includes one or more of tar, nicotine, and carbon monoxide.

5. The method for constructing a cigarette design model according to claim 1, characterized in that: The reference cigarette is produced using a fixed tobacco leaf formula, production process, and cigarette auxiliary materials, and the auxiliary material parameters of the target cigarette are adjusted based on the auxiliary material parameters of the reference cigarette.

6. A method for predicting flue gas emissions, characterized in that, Obtain the cigarette auxiliary material parameters for the reference cigarette and the target cigarette respectively; Based on the parameters of cigarette auxiliary materials, the apparent smoke function of the reference cigarette and the apparent smoke function of the target cigarette are constructed respectively. Obtain the measured values ​​of the smoke from the reference cigarette; The apparent function of the target cigarette, the apparent function of the reference cigarette, and the measured value of the reference cigarette's smoke are input into the cigarette design model as described in claim 1 for processing. The predicted value of the smoke release of the target cigarette is obtained.

7. The method for predicting flue gas emission according to claim 6, characterized in that: The construction of the smoke appearance function of the target cigarette includes: The cigarette specifications of the reference cigarette and the target cigarette are compared; wherein the cigarette specifications include the cigarette length and the cigarette circumference. If the specifications of the reference cigarette and the target cigarette are different, a preset correction coefficient is used to adjust the initial apparent function of the target cigarette to obtain the apparent function of the target cigarette.

8. A method for recommending cigarette auxiliary materials, characterized in that, include: Obtain the cigarette auxiliary material parameters of the reference cigarette; Based on the auxiliary material parameters of the reference cigarette, the apparent function of the smoke of the reference cigarette is constructed. Obtain the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette; The measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette are input into the cigarette design model as described in claim 1 for processing. The apparent function of the smoke from the target cigarette is obtained; Based on the apparent function of the target cigarette smoke, the optimal combination of cigarette auxiliary material parameters is calculated so that the smoke release of the target cigarette smoke is close to the expected smoke value.

9. The method for recommending cigarette auxiliary materials according to claim 8, characterized in that: The optimal combination of cigarette auxiliary material parameters is calculated by a genetic algorithm.

10. A device for constructing a cigarette design model, characterized in that, include: The first function module is used to obtain the smoke release amount and cigarette auxiliary material parameters of the reference cigarette and construct the smoke appearance function of the reference cigarette. The second function module is used to obtain the smoke release amount and cigarette auxiliary material parameters of the target cigarette and construct the smoke appearance function of the target cigarette. The model generation module is used to derive a cigarette design model based on the ratio of the apparent smoke function of the reference cigarette and the target cigarette, the smoke release of the reference cigarette, and the smoke release of the target cigarette.

11. A flue gas emission prediction device, characterized in that, include: The first acquisition module is used to acquire the cigarette auxiliary material parameters of the reference cigarette and the target cigarette respectively; The third function module is used to construct the apparent smoke function of the reference cigarette and the apparent smoke function of the target cigarette based on the parameters of cigarette auxiliary materials. The second acquisition module is used to acquire the measured value of the smoke from the reference cigarette. The first processing module is used to input the apparent function of the target cigarette, the apparent function of the reference cigarette, and the measured value of the smoke of the reference cigarette into the cigarette design model as described in claim 1 for processing. The prediction module is used to obtain a predicted value of the smoke release of the target cigarette.

12. A cigarette auxiliary material recommendation device, characterized in that, include: The third acquisition module is used to acquire the cigarette auxiliary material parameters of the reference cigarette; The fourth function module is used to construct the apparent function of the smoke of the reference cigarette based on the auxiliary material parameters of the reference cigarette. The fourth acquisition module is used to acquire the measured smoke values ​​of the reference cigarette and the expected smoke values ​​of the target cigarette. The second processing module is used to input the measured smoke value of the reference cigarette and the expected smoke value of the target cigarette into the cigarette design model as described in claim 1 for processing. The function generation module is used to derive the apparent function of the smoke of the target cigarette. The auxiliary material recommendation module is used to calculate the optimal combination of cigarette auxiliary material parameters based on the apparent function of the target cigarette smoke, so that the smoke release of the target cigarette smoke is close to the expected smoke value.

13. An electronic device, characterized in that, The electronic device includes: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory, so that the electronic device performs the method for constructing a cigarette design model according to any one of claims 1 to 5, or the method for predicting smoke emission according to claim 6 or 7, or the method for recommending cigarette auxiliary materials according to claim 8 or 9.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by an electronic device, the program implements the method for constructing a cigarette design model as described in any one of claims 1 to 5, the method for predicting smoke emission as described in claim 6 or 7, or the method for recommending cigarette auxiliary materials as described in claim 8 or 9.

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