Product material analysis method, tobacco product design method, device, medium and product

Abstract

The present disclosure provides a product material analysis method, a tobacco product design method and its device, a computer-readable storage medium and a computer program product. The product material analysis method includes obtaining thermogravimetric analysis data corresponding to each sample in a plurality of samples. The plurality of samples are different samples of the same product material. The thermogravimetric analysis data indicates the relationship between the mass change rate and the temperature of the sample during the pyrolysis and combustion process. The product material analysis method also includes obtaining a first temperature and a first mass change rate corresponding to a mass change rate peak value of each sample based on the thermogravimetric analysis data. The product material analysis method also includes drawing a scatter plot of the plurality of samples based on the first temperature and the first mass change rate of each sample. The horizontal and vertical coordinates of the scatter plot are respectively associated with the temperature and the mass change rate. The product material analysis method also includes analyzing the pyrolysis and combustion performance of the product material based on the scatter plot.

Description

Technical Field

[0001] The present disclosure relates to the field of material analysis and tobacco design technology, and in particular to a product material analysis method, a tobacco product design method, a device, a medium and a computer program product. Background Art

[0002] In some application scenarios, it is necessary to analyze the pyrolysis and combustion performance of product materials. For example, for tobacco products, the pyrolysis and combustion performance of its constituent materials has a significant impact on the quality and taste of tobacco products.

[0003] By performing thermal analysis on product materials, we can understand the pyrolysis and combustion performance of product materials. Thermal analysis is an analytical technique widely used in the fields of materials science, chemical engineering, pharmaceutical analysis, environmental analysis, etc. It mainly studies the physical and chemical properties of materials or substances under controlled temperature. Thermogravimetric analysis (TGA) is a common thermal analysis method. By measuring the mass of a material sample under program-controlled temperature conditions, thermogravimetric analysis can obtain a series of temperature and mass data of the material sample. Plotting these data into a curve can obtain a thermogravimetry (TG, also known as "thermal weight loss") curve. Furthermore, by performing a first-order differential operation on the TG curve, a differential thermogravimetry (DTG, also known as "differential thermal weight loss") curve reflecting the relationship between temperature and mass change rate can be obtained. The pyrolysis and combustion performance of product materials can be analyzed based on the TG curve or the DTG curve. Summary of the invention

[0004] According to one aspect of an embodiment of the present disclosure, a method for analyzing a product material is provided, comprising: obtaining thermogravimetric analysis data corresponding to each of a plurality of samples, wherein the plurality of samples are different samples of the same product material, and the thermogravimetric analysis data indicate a relationship between a mass change rate and a temperature of the sample during a pyrolysis and combustion process; obtaining a first temperature and a first mass change rate corresponding to a peak value of a mass change rate of each sample based on the thermogravimetric analysis data; drawing a scatter plot of the plurality of samples based on the first temperature and the first mass change rate of each sample, wherein the horizontal and vertical coordinates of the scatter plot are respectively associated with the temperature and the mass change rate; and analyzing the pyrolysis and combustion performance of the product material based on the scatter plot.

[0005] According to another aspect of an embodiment of the present disclosure, a tobacco product design method is provided, including: obtaining thermogravimetric analysis data corresponding to each of a plurality of samples, wherein the plurality of samples are different samples of the same component material of the tobacco product, and the thermogravimetric analysis data indicate the relationship between the mass change rate and the temperature of the sample during the pyrolysis and combustion process; obtaining a first temperature and a first mass change rate corresponding to a peak value of the mass change rate of each sample based on the thermogravimetric analysis data; drawing a scatter plot of the plurality of samples based on the first temperature and the first mass change rate of each sample, the horizontal and vertical coordinates of the scatter plot being associated with the temperature and the mass change rate, respectively; and designing the tobacco product based on the scatter plot to obtain a target tobacco product.

[0006] According to another aspect of an embodiment of the present disclosure, there is provided an apparatus for tobacco product design, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the method described in any one of the above embodiments based on instructions stored in the memory.

[0007] According to another aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, comprising computer program instructions, wherein when the computer program instructions are executed by a processor, the method described in any one of the above embodiments is implemented.

[0008] According to another aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the method described in any one of the above embodiments is implemented.

[0009] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 A flow chart showing a method for analyzing product materials according to an embodiment of the present disclosure;

[0012] Figure 2 shows thermal analysis graphs of multiple samples according to an example of the present disclosure;

[0013] Figure 3A and Figure 3B They are shown respectively with Figure 2 The scatter plot corresponding to the thermal analysis spectrum;

[0014] Figure 4 Shown based on Figure 3A Schematic diagram of calculating Euclidean distance from a scatter plot;

[0015] Figure 5 Shows Figure 3A Scatter plot of the middle part of the samples;

[0016] Figure 6 shows a scatter plot distribution of a first sample set and a second sample set according to an example of the present disclosure;

[0017] Figure 7 A flowchart showing a tobacco product design method according to some embodiments of the present disclosure is shown;

[0018] Figure 8 , a scatter plot of an original sample and a sample to be selected for replacement according to an example of the present disclosure is shown;

[0019] Fig. 9A shows a thermal analysis diagram according to an example of the present disclosure;

[0020] Fig. 9B Shows the Fig. 9A The thermal analysis spectrum is plotted into a scatter plot at different temperature intervals;

[0021] Fig.10 A scatter plot of samples selected according to the method of some embodiments of the present disclosure is shown;

[0022] Fig.11 It is a schematic diagram of the structure of an apparatus for executing a tobacco product design method according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present disclosure.

[0024] Unless specifically stated otherwise, the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure.

[0025] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0026] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0027] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0028] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0029] In the present disclosure, limitations such as “first” and “second” are merely for the convenience of distinction and do not indicate the order between the described elements unless otherwise specified.

[0030] By analyzing the peak points of the DTG curve, we can obtain information such as the thermal stability of the material, processing conditions, and reaction kinetics. By comparing the DTG curves of different samples, we can characterize and compare the composition, structural stability, or additive effects of the material. However, in related technologies, we can only roughly compare the differences between the overall DTG curves of different samples, or only calculate the differences between the peak points of different DTG curves. The lack of a more sophisticated and intuitive evaluation method limits the application of this thermal analysis method in more occasions.

[0031] According to the first aspect of the present disclosure, an embodiment of the present disclosure provides a product material analysis method based on thermogravimetric analysis data, which is more sophisticated and intuitive than the current technology. Through this method, the pyrolysis and combustion performance of the product material can be analyzed more deeply and comprehensively, especially the differences in pyrolysis and combustion performance between different samples of the product material can be analyzed, so as to make better decisions when applying the product material to the design of related products.

[0032] Figure 1 The flowchart of the method for analyzing product materials according to an embodiment of the present disclosure is shown. The method can be executed by one or more processors of a computer system, which processor can be, for example, Fig.11 A processor of the device shown.

[0033] like Figure 1 As described above, method 100 at least includes steps 102 to 108 .

[0034] In step 102, thermogravimetric analysis data corresponding to each of a plurality of samples is obtained. The plurality of samples are different samples of the same product material. The thermogravimetric analysis data indicates the relationship between the mass change rate and temperature of the sample during the pyrolysis and combustion process.

[0035] Thermogravimetric analysis data can be obtained by performing a pyrolysis and combustion experiment on the sample and recording the relationship between the mass change rate of the sample and the temperature during the pyrolysis and combustion process. The "pyrolysis and combustion experiment" mentioned here refers to allowing the sample to undergo physical and chemical changes under the condition of increasing the temperature. Some sample substances undergo pyrolysis and combustion successively as the temperature increases. Other sample substances may only undergo pyrolysis within a certain temperature range due to their high ignition point, and still fall within the scope of the "pyrolysis and combustion experiment" disclosed in the present invention.

[0036] In some embodiments, the thermogravimetric analysis data includes different temperature values ​​and corresponding mass change rate values. Generally, the temperature increase process is to increase the temperature linearly and uniformly over time under program control. Therefore, in other embodiments, the thermogravimetric analysis data may also include different heating moments and corresponding mass change rate values, thereby indirectly reflecting the relationship between the mass change rate and temperature.

[0037] The mass change rate is the rate at which the mass changes. The mass change rate can be obtained by differentiating the sample mass at different temperatures or heating times.

[0038] The following is an example of the process of obtaining thermogravimetric analysis data using tobacco as the product material. First, weigh an appropriate amount of the powder of the tobacco leaf as a sample, heat the sample to a certain temperature at a certain rate under a nitrogen atmosphere, and keep the constant temperature for a period of time to remove the effects of different moisture contents of the tobacco leaf. Then, continue to heat the sample to a higher temperature at the same rate. Record the relationship between the sample mass and temperature during the heating process, and thus obtain the TG curve. In order to make the pyrolysis and combustion behavior of the tobacco leaf more obvious, the TG curve is derived to obtain the relationship between the mass change rate and the temperature, that is, the "thermal gravimetric analysis data" described herein. If the thermogravimetric analysis data is displayed in the form of a curve graph (i.e., a DTG curve), the abscissa represents the temperature change, and its unit is Kelvin (K), and the ordinate represents the mass change rate of the tobacco leaf during the pyrolysis and combustion process, and the unit is percentage / Kelvin (% / K). In the present disclosure, the DTG curve is also referred to as a thermal analysis spectrum.

[0039] In some embodiments, the product material includes the constituent materials of tobacco products. Thus, the constituent materials of tobacco products can be subjected to pyrolysis and combustion performance analysis, thereby evaluating the quality and stability of tobacco products or assisting in the design of tobacco products. In further embodiments, the constituent materials of tobacco products can include but are not limited to any one of tobacco leaves, cigarette paper or flavors.

[0040] In step 104, a first temperature and a first mass change rate corresponding to a mass change rate peak value of each sample are obtained based on the thermogravimetric analysis data.

[0041] Since the sample loses mass during the pyrolysis and combustion process, the mass change rate is negative. At this time, the mass change rate peak is the mass change rate with the largest absolute value. If the thermogravimetric analysis data is presented in the form of a thermal analysis spectrum, the mass change rate peak actually corresponds to the "valley" in the thermal analysis spectrum.

[0042] In some embodiments, the thermogravimetric analysis data can be plotted into a thermal analysis spectrum, and the first temperature and the first mass change rate can be obtained by determining the temperature and mass change rate corresponding to the "valley" in the thermal analysis spectrum. In the thermal analysis spectrum, the slope between two points in the curve can be calculated, and when the slope is 0, it is the peak point ("valley") of the mass change rate.

[0043] In other embodiments, a mass change rate in the thermogravimetric analysis data that is smaller than both a previous mass change rate and a subsequent mass change rate may be searched as the first mass change rate, and the corresponding temperature may be used as the first temperature.

[0044] The material composition of the samples is different, and the number of mass change rate peaks that appear in the pyrolysis and combustion experiments may also be different. For example, some samples may have only one mass change rate peak in the thermal analysis spectrum. For another example, some other samples may have two mass change rate peaks in the thermal analysis spectrum, one of which is a pyrolysis peak and the other is a combustion peak; or both are pyrolysis peaks. For another example, some other samples may have three or even more mass change rate peaks in the thermal analysis spectrum. In some embodiments, at least one sample among the multiple samples has multiple mass change rate peaks. In the case where a sample has multiple mass change rate peaks, the temperatures corresponding to each peak are different.

[0045] Since corresponding thermogravimetric analysis data are obtained for each sample in step 102, corresponding one or more combinations of first temperature and first mass change rate can be obtained for each sample based on its thermogravimetric analysis data, thereby obtaining the first temperature and first mass change rate corresponding to the peak value of the mass change rate of all samples.

[0046] Figure 2 The thermal analysis spectrum of multiple samples according to an example of the present disclosure is shown. The multiple samples include sample 1 to sample 12. The mass change rate peaks P1, P2 and P3 of the three samples are marked in the dotted frame 201. In this example, each sample has two mass change rate peaks. In addition to the dotted frame 201, another mass change rate peak is in the dotted frame 202. As a non-limiting example, the mass change rate peak in the dotted frame 201 is a pyrolysis peak, and the mass change rate peak in the dotted frame 202 is a combustion peak.

[0047] In step 106 , a scatter plot of the plurality of samples is plotted based on the first temperature and the first mass change rate of each sample, wherein the horizontal and vertical axes of the scatter plot are respectively associated with the temperature and the mass change rate.

[0048] In some embodiments, step 106 includes: first, dividing the mass change rate peak values ​​of the plurality of samples into a plurality of peak sets, wherein the difference between the first temperatures corresponding to the mass change rate peak values ​​in each peak set is less than a corresponding threshold value; and then, for each peak set, drawing a corresponding scatter plot based on the first temperature corresponding to the mass change rate peak values ​​in the peak set and the first mass change rate. That is, a plurality of peak sets will correspond to a plurality of scatter plots.

[0049] For example, Figure 2 As shown, the mass change rate peaks of multiple samples are concentrated in the temperature ranges corresponding to the dotted box 201 and the dotted box 202, respectively, so they can be divided into two peak sets, and two scatter plots are drawn accordingly. Among them, the first scatter plot corresponds to the mass change rate peak in the dotted box 201. The second scatter plot corresponds to the mass change rate peak in the dotted box 202.

[0050] In some embodiments, at least one of the multiple samples has multiple mass change rate peak values, and accordingly, the scatter plot drawn in step 106 includes multiple scatter plots corresponding to the multiple mass change rate peak values. The number of scatter plots may be equal to the maximum number of the mass change rate peak values ​​of the at least one sample. That is, if one of the multiple samples has 2 mass change rate peak values ​​and another sample has 3 mass change rate peak values, then the number of scatter plots may be 3.

[0051] In some embodiments, at least some of the multiple samples have only one mass change rate peak value, but these peak values ​​are concentrated in different temperature ranges. In this case, the mass change rate peak values ​​of the multiple samples can still be divided into multiple peak sets, and multiple scatter plots can be drawn accordingly.

[0052] In some embodiments, the horizontal coordinate of the scatter plot is temperature, and the vertical coordinate is mass change rate, or vice versa. In this case, the scatter plot can be drawn directly based on the first temperature and the first mass change rate of each sample obtained in step 104. Each scattered point in the scatter plot corresponds to a sample, and the horizontal and vertical coordinates of the scatter point are the first temperature and the first mass change rate corresponding to the sample (or vice versa).

[0053] In other embodiments, the horizontal and vertical coordinates of the scatter plot are values ​​associated with the temperature and the mass change rate rather than the temperature and the mass change rate themselves. Specifically, the temperature can be converted into a temperature-related value, and the mass change rate can be converted into a mass change rate-related value. In a further embodiment, drawing a scatter plot of multiple samples based on the first temperature and the first mass change rate of each sample includes normalizing the first temperatures of the multiple samples and / or includes normalizing the first mass change rates of the multiple samples.

[0054] In some embodiments, normalizing the first temperatures of the plurality of samples includes linearly mapping the first temperatures of the plurality of samples to a score interval. Specifically, first, the minimum first temperature and the maximum first temperature among the first temperatures of the plurality of samples can be determined, that is, the minimum value and the maximum value among the first temperatures of the plurality of samples can be determined. Then, the minimum first temperature and the maximum first temperature are mapped to the lower limit of the temperature score and the upper limit of the temperature score, respectively. Furthermore, the other first temperatures except the minimum first temperature and the maximum first temperature among the first temperatures of the plurality of samples are linearly mapped to the temperature scores between the lower limit of the temperature score and the upper limit of the temperature score.

[0055] As a non-limiting example, the lower limit of the temperature score is 0 points, and the upper limit of the temperature score is 100 points. Then the minimum first temperature T of all samples is min is mapped to 0 points, the maximum first temperature T max is mapped to 100 points, the other first temperature T i The temperature score X is mapped to i =(T i -T min ) / T*100, where T=T max -T min , i is the number of min and T max The serial number of other samples other than the corresponding sample.

[0056] After the first temperatures of the plurality of samples are normalized to be converted into temperature scores, a scatter plot may be drawn with the temperature scores as the abscissa or the ordinate.

[0057] In some embodiments, normalizing the first mass change rates of multiple samples includes linearly mapping the first mass change rates of multiple samples to a score interval. Specifically, first, the minimum first mass change rate and the maximum first mass change rate among the first mass change rates of multiple samples can be determined, that is, the minimum value and the maximum value among the first mass change rates of multiple samples are determined. Then, the maximum first mass change rate and the minimum first mass change rate are mapped to the lower limit of the mass change rate score and the upper limit of the mass change rate score, respectively. This is because the mass change rate is a negative value, and the minimum first mass change rate actually corresponds to the maximum absolute value. In addition, the other first mass change rates of the first mass change rates of multiple samples, except the minimum first mass change rate and the maximum first mass change rate, are linearly mapped to the mass change rate scores between the lower limit of the mass change rate score and the upper limit of the mass change rate score.

[0058] As a non-limiting example, the lower limit of the mass change rate score is 0 points, and the upper limit of the mass change rate score is 100 points. Then the maximum first mass change rate W of all samples is max is mapped to 0 points, the minimum first quality change rate W min is mapped to 100 points, and the other first quality change rate W i The quality change rate score Y mapped to i =(W i -W max ) / W*100, where W=W min -W max , i is divided by W max and W min The serial number of other samples other than the corresponding sample.

[0059] After the first mass change rates of the plurality of samples are normalized to be converted into mass change rate scores, a scatter plot may be drawn with the mass change rate scores as the ordinate or abscissa.

[0060] In some embodiments, the first temperatures of the multiple samples may be normalized to be converted into temperature scores, and the first mass change rates of the multiple samples may be normalized to be converted into mass change rate scores, and a scatter plot may be drawn with the temperature scores and the mass change rate scores as the abscissa and ordinate. Normalization may make the differences between the mass change rate peaks of the samples more significant, thereby making the drawn scatter plot clearer and more intuitive.

[0061] Figure 3A and Figure 3B They are shown respectively Figure 2 The scatter plot is a plot of the temperature and mass change rate corresponding to the mass change rate peak of multiple samples, where Figure 3A The scatter plot corresponds to Figure 2 The middle dotted frame 201 (e.g., pyrolysis peak), Figure 3BThe scatter plot corresponds to Figure 2 The dashed box 202 in the figure (eg, the combustion peak) is shown in FIG. 2. In the two scatter plots, the temperature score interval is [0, 100], and the mass change rate score interval is [0, 100].

[0062] In step 108, the pyrolysis combustion performance of the product material is analyzed based on the scatter plot.

[0063] Based on the scatter plot, the differences in pyrolysis and combustion performance between different samples of product materials can be intuitively and conveniently understood.

[0064] In the scatter plot, the Euclidean distance between the scatter points can macroscopically represent the difference between the pyrolysis and combustion performance of the two samples. Step 108 may include: calculating the Euclidean distance between the corresponding scatter points of the first sample and the second sample in the plurality of samples; and determining the difference in pyrolysis and combustion performance between the first sample and the second sample based on the calculated Euclidean distance. The Euclidean distance between two scatter points can be calculated as follows: ,in and are the horizontal and vertical coordinate values ​​of the first scatter point, and are the horizontal and vertical coordinate values ​​of the second scatter point.

[0065] Figure 4 Shown based on Figure 3A A schematic diagram of a scatter plot of the sample 1 and the calculation of the Euclidean distance between sample 1 and sample 12 using sample 1 as a benchmark. Figure 4 The numbers on each bar graph in the table represent the value of the Euclidean distance of the sample relative to sample 1. The larger the Euclidean distance value, the greater the difference in pyrolysis and combustion performance of the sample relative to sample 1.

[0066] In the scatter plot, the main cause of the difference (e.g., whether it is mainly due to the temperature difference or the mass change rate difference) can be indicated by the difference in the horizontal coordinate (e.g., related to the temperature) and the vertical coordinate (e.g., related to the mass change rate) between the scatter points. If the temperature difference is the main difference, it indicates that the two samples being compared reach basically similar minimum mass change rates at different temperatures, that is, the two samples have different pyrolysis and combustion speeds. If the mass change rate difference is the main difference, it indicates that the two samples being compared reach different minimum mass change rates at basically similar temperatures, that is, the two samples have different degrees of pyrolysis and combustion.

[0067] Figure 5 Selectively showing only Figure 3A Scatter plot of sample 1, sample 5 and sample 10 in . Figure 4It can be seen that the Euclidean distances of samples 5 and 10 relative to sample 1 are similar, that is, the differences in pyrolysis and combustion performance are basically the same. However, by comparing the distribution of the three scatter points, it can be seen that the sources of the differences in pyrolysis and combustion performance of samples 5 and 10 relative to sample 1 are not the same. Sample 5 is mainly due to the difference in mass change rate, while sample 10 is mainly due to the temperature difference. The method according to the embodiment of the present disclosure can not only reflect the differences in pyrolysis and combustion performance between samples through the Euclidean distance, but also intuitively reflect the specific sources of the differences from the scatter plot.

[0068] By analyzing the concentration of the scattered points in the scatter plot, the consistency of the pyrolysis and combustion performance of the corresponding samples can be evaluated. In some embodiments, the plurality of samples include a first sample set and a second sample set, wherein each sample set includes a plurality of samples. In this case, step 108 may include: comparing the concentration of a first distribution of the first sample set in the scatter plot with the concentration of a second distribution of the second sample set in the scatter plot; and determining the difference in pyrolysis and combustion performance of the first sample set and the second sample set based on the result of the comparison.

[0069] Figure 6 The scatter plot distribution of the first sample set and the second sample set is shown. It can be seen that the distribution of the scatter points corresponding to the second sample set is more concentrated than that of the scatter points corresponding to the first sample set, thereby determining that the pyrolysis and combustion performance of the samples in the second sample set is more consistent.

[0070] It can be seen that the analysis method of the product material in the embodiment of the present disclosure converts the thermogravimetric analysis data of the sample into a scatter plot for presentation, which can facilitate people to evaluate the pyrolysis and combustion performance of the product material more precisely and intuitively.

[0071] The analysis method of this product material can be applied to various fields such as material science, chemical engineering, pharmaceutical analysis, and environmental analysis.

[0072] According to the second aspect of the present disclosure, the aforementioned product material analysis method is applied to the quality assessment of tobacco products, and a tobacco product quality assessment method can be obtained. The method includes the aforementioned steps 102, 104, and 106, which are not described in detail here. At this time, the product material can be a component material of the tobacco product, such as tobacco leaves, cigarette paper, or flavors. The method can also include quality assessment of the tobacco product based on a scatter plot.

[0073] The quality assessment of tobacco products based on the scatter plot may include calculating the Euclidean distance of the scatter points of the multiple samples relative to the scatter points of the first sample, and determining whether the samples corresponding to the corresponding scatter points meet the quality consistency requirements according to whether the Euclidean distance is less than a preset threshold. Figure 4For example, assuming that sample 1 is a reference batch of tobacco leaves, samples 2-12 are tobacco leaves from other batches, and the preset threshold is 40, then the batches corresponding to samples 2-6 and sample 10 meet the quality consistency requirements, while the batches corresponding to samples 7-9 and samples 11-12 do not meet the quality consistency requirements. It can be seen that based on the scatter plot and the Euclidean distance calculated therefrom, the quality of tobacco products (or their constituent materials) can be easily, quickly and intuitively evaluated.

[0074] The quality assessment of tobacco products based on the scatter plot may include comparing the concentration of the corresponding scatter points of different sample sets in the scatter plot as described above, and determining the consistency of the pyrolysis and combustion performance of the corresponding sample sets based on the comparison results. Figure 6 For example, assuming that the first sample set is the first batch of tobacco leaves, and the second sample set is the second batch of tobacco leaves, by comparing the concentration of the scattered point distribution, it can be determined that the pyrolysis and combustion performance of the second batch of tobacco leaves is more consistent.

[0075] According to a third aspect of the present disclosure, the aforementioned product material analysis method is applied to the design of tobacco products, thereby obtaining a tobacco product design method.

[0076] Figure 7 A flowchart of a tobacco product design method according to some embodiments of the present disclosure is shown. The method can be executed by one or more processors of a computer system, which processor can be, for example, Fig.11 A processor of the device shown.

[0077] like Figure 7 The method 700 at least includes steps 702 to 708. Steps 702 to 706 are Figure 1 The difference between the steps 102 to 106 of the method 100 is that in step 702, the multiple samples are different samples of the same component material of the tobacco product. Here, the differences between the method 700 and the method 100 are mainly described. For other aspects or contents not introduced, including the related contents of normalizing the first temperature and / or the first mass change rate of the sample, etc., reference can be made to the description of the method 100 above, and no further description is given here.

[0078] In some embodiments, the tobacco product includes a cigarette or an electronic cigarette. The same component material of the tobacco product may include at least one of tobacco leaves, cigarette paper or flavors.

[0079] In step 708, tobacco product design is performed based on the scatter plot to obtain a target tobacco product. The tobacco product design may be performed based on any one or more combinations of the Euclidean distance between scatter points, the mass change rate difference, and the temperature difference.

[0080] In some embodiments, step 708 includes: calculating the Euclidean distance between a first scatter point and a second scatter point in the scatter plot, wherein the first scatter point corresponds to a first sample in a plurality of samples, and the second scatter point corresponds to a second sample in a plurality of samples; and designing a tobacco product based on the Euclidean distance to obtain a target tobacco product. The method for calculating the Euclidean distance between the scatter points is described in the above description of method 100. Designing a tobacco product based on the Euclidean distance to obtain a target tobacco product may include replacing a component material of the tobacco product according to the Euclidean distance to obtain a target tobacco product that meets the requirements.

[0081] Specifically, in some embodiments, the first sample is an original sample corresponding to the original tobacco product, and the second sample is a replacement sample for replacing the original sample. In this case, designing the tobacco product based on the Euclidean distance includes: in response to determining that the Euclidean distance is less than a preset first threshold, using the second sample to replace the first sample in the target tobacco product. When the Euclidean distance between the scatter points of the second sample and the scatter points of the first sample is less than a predetermined value, it can be considered that the pyrolysis and combustion performances of the two samples are basically close, so the second sample can be used to replace the first sample to obtain a target tobacco product, and the quality of the target tobacco product can be similar to that of the original tobacco product using the original first sample.

[0082] Furthermore, on the basis of using the Euclidean distance, the temperature difference or mass change rate difference between the two scattered points can be further considered to further screen samples that meet the requirements to be added to the target tobacco product. Specifically, designing tobacco products based on the Euclidean distance at this time includes: in response to determining that the Euclidean distance is less than a preset first threshold, and in response to determining that the difference between the first mass change rate of the second sample and the first mass change rate of the first sample is less than a preset second threshold or in response to determining that the difference between the first temperature of the second sample and the first temperature of the first sample is less than a preset third threshold, using the second sample to replace the first sample in the target tobacco product.

[0083] In some embodiments, step 708 includes: first, calculating the difference between the first temperatures of a first scatter point and a second scatter point in the scatter plot, and / or calculating the difference between the first mass change rates of the first scatter point and the second scatter point in the scatter plot, wherein the first scatter point corresponds to a first sample among multiple samples, and the second scatter point corresponds to a second sample among multiple samples; then, designing a tobacco product based on the difference between the first temperatures and / or the difference between the first mass change rates to obtain a target tobacco product.

[0084] by Figure 8 Take this as an example to illustrate. Figure 8The scatter plot of the original sample and the candidate samples 1-3 for replacement is shown in FIG. Wherein the scatter point P1 corresponds to the original sample, and the scatter points P2-P4 correspond to the candidate samples 1-3. In some embodiments, whether to add the corresponding scatter point to the target tobacco product can be determined according to the size of the Euclidean distance. As an example, the Euclidean distance of P4 relative to P1 is greater than the preset threshold, so the target tobacco product cannot be added; the Euclidean distance of P2 and P3 relative to P1 is less than the preset threshold, so the target tobacco product can be added. As a further example, when the Euclidean distances of P2 and P3 both meet the conditions, the temperature score difference and the mass change rate score difference of P2 and P3 relative to P1 can also be considered in combination. If the target tobacco product requires the mass change rate to be kept as stable as possible, the sample corresponding to P2 can be used to replace the sample corresponding to P1 in response to determining that the mass change rate difference of P2 relative to P1 is less than the threshold, so as to obtain the target tobacco product. If the target tobacco product requires the temperature corresponding to the peak to be kept as stable as possible, the sample corresponding to P3 can be used to replace the sample corresponding to P1 in response to determining that the temperature difference of P3 relative to P1 is less than the threshold, so as to obtain the target tobacco product. In some embodiments, the determination of the replacement sample may also only consider the temperature difference and / or mass change rate difference between the scattered points, without considering the Euclidean distance. As another example, the sample corresponding to P2 may be selected as the replacement sample considering that the mass change rate difference of P2 relative to P1 is less than a threshold, and / or the sample corresponding to P3 may be selected as the replacement sample considering that the temperature difference of P3 relative to P1 is less than a threshold.

[0085] Tobacco product design based on the scatter plot can also select corresponding samples to be added to the target tobacco product according to the specific temperature interval or mass change rate interval in which the scatter points fall. In some embodiments, step 708 includes: dividing the scatter plot into multiple temperature intervals according to coordinates associated with temperature, selecting scatter points that fall into a specific mass change rate interval in each of the multiple temperature intervals, and adding the samples corresponding to the selected scatter points to the target tobacco product.

[0086] The temperature-related coordinates refer to the coordinates in the horizontal or vertical coordinates of the scatter plot that are related to the temperature. The temperature-related coordinates can represent the normalized temperature scores mentioned above, or can be the temperature. The scatter plot can be divided into multiple temperature intervals according to the temperature-related coordinates, which can be evenly divided or unevenly divided.

[0087] When selecting scattered points falling within a specific mass change rate interval in each temperature interval, the specific mass change rate interval may be the same or different for different temperature intervals.

[0088] In some embodiments, the scatter plot is evenly divided into a plurality of temperature intervals according to the temperature scores, and scatter points falling into a specific mass change rate interval are selected in each temperature interval. Fig. 9A The thermal analysis patterns of 18 flavors are shown. Fig. 9B Shows the Fig. 9A The thermal analysis spectrum is plotted as a scatter plot and evenly divided into five temperature score intervals: [0, 20), [20,40), [40, 60), [60, 80) and [80, 100]. Fig. 9B The first digit of each scattered point number in is the sample number, and the second digit is the peak number. For example, 17-1 represents the first mass change rate peak of sample 17, and 17-2 represents the second mass change rate peak of sample 17. In each temperature score interval, a scattered point with a mass change rate score that is at an intermediate level among the mass change rate scores of all scattered points in the interval is selected, thereby obtaining Fig.10 The scatter plots of the five samples are shown. The five samples are finally added to the target tobacco product. It can be seen that the samples selected according to the method disclosed in the present invention have a wide temperature range during the pyrolysis and combustion process, are evenly distributed, and have a similar mass change rate, thereby ensuring that the tobacco product has a stable puff sensation.

[0089] Fig.11 is a schematic structural diagram of a device according to an embodiment of the present disclosure. Fig.11 The apparatus 1100 shown can be used to perform the following Figure 1 The method 100 shown or as Figure 7 The method 700 is shown. When performing the method 100, the apparatus 1100 may be an apparatus for performing a method for analyzing product materials. When performing the method 700, the apparatus 1100 may be an apparatus for tobacco product design.

[0090] The apparatus 1100 includes a memory 1101 and a processor 1102 coupled to the memory 1101 . The processor 1102 is configured to execute the method of any one of the aforementioned embodiments based on instructions stored in the memory 1101 .

[0091] The memory 1101 may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, and other programs.

[0092] The device 1100 may also include an input / output interface 1103, a network interface 1104, a storage interface 1105, etc. The input / output interface 1103, the network interface 1104, the storage interface 1105, and the memory 1101 and the processor 1102 may be connected, for example, via a bus 1106. The input / output interface 1103 provides a connection interface for input / output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 1104 provides a connection interface for various networked devices. The storage interface 1105 provides a connection interface for external storage devices such as an SD card and a USB flash drive.

[0093] The embodiments of the present disclosure further provide a computer-readable storage medium, comprising computer program instructions, which implement the method of any one of the above embodiments when executed by a processor.

[0094] The embodiments of the present disclosure further provide a computer program product, including a computer program, which implements the method of any one of the above embodiments when executed by a processor.

[0095] So far, various embodiments of the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0096] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable non-transient storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that the functions specified in one or more processes in the flowchart and / or one or more blocks in the block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the functions specified in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0100] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A method for analyzing product materials, comprising: Obtaining thermogravimetric analysis data corresponding to each of a plurality of samples, wherein the plurality of samples are different samples of the same product material, the thermogravimetric analysis data indicating a relationship between a mass change rate and a temperature of the sample during a pyrolysis and combustion process; Obtaining a first temperature and a first mass change rate corresponding to a mass change rate peak value of each sample based on the thermogravimetric analysis data; Drawing a scatter plot of the plurality of samples based on a first temperature and a first mass change rate of each sample, wherein the horizontal and vertical coordinates of the scatter plot are respectively associated with the temperature and the mass change rate; as well as The pyrolysis and combustion performance of the product material is analyzed based on the scatter plot.

2. The tobacco product design method according to claim 1, wherein the step of drawing a scatter plot of the plurality of samples based on the first temperature and the first mass change rate of each sample comprises: Normalizing the first temperatures of the plurality of samples, and drawing the scatter plot based on the normalized first temperatures; and / or The first mass change rates of the plurality of samples are normalized, and the scatter plot is drawn based on the normalized first mass change rates.

3. The method according to claim 2, wherein normalizing the first temperatures of the plurality of samples comprises: determining a minimum first temperature and a maximum first temperature among the first temperatures of the plurality of samples; as well as The minimum first temperature is mapped to a lower limit of the temperature score, the maximum first temperature is mapped to an upper limit of the temperature score, and the other first temperatures of the multiple samples except the minimum first temperature and the maximum first temperature are linearly mapped to temperature scores between the lower limit of the temperature score and the upper limit of the temperature score.

4. The method according to claim 2, wherein normalizing the first mass change rates of the plurality of samples comprises: determining a minimum first mass change rate and a maximum first mass change rate among the first mass change rates of the plurality of samples; as well as The maximum first mass change rate is mapped to a lower limit of the mass change rate score, the minimum first mass change rate is mapped to an upper limit of the mass change rate score, and the other first mass change rates among the first mass change rates of the multiple samples except the minimum first mass change rate and the maximum first mass change rate are linearly mapped to mass change rate scores between the lower limit of the mass change rate score and the upper limit of the mass change rate score. 5 . The method according to claim 1 , wherein at least one sample among the plurality of samples has a plurality of mass change rate peak values, and the scatter plot comprises a plurality of scatter plots corresponding to the plurality of mass change rate peak values.

6. The method according to claim 1, wherein the plurality of samples comprises a first sample set and a second sample set, the first sample set and the second sample set respectively comprising a plurality of samples, The analyzing the pyrolysis and combustion performance of the product material based on the scatter plot includes: comparing a concentration of a first distribution of the first sample set in the scatter plot with a concentration of a second distribution of the second sample set in the scatter plot; as well as A difference in pyrolysis combustion performance between the first set of samples and the second set of samples is determined based on a result of the comparison.

7. A tobacco product design method comprising: Obtaining thermogravimetric analysis data corresponding to each of a plurality of samples, wherein the plurality of samples are different samples of the same component material of tobacco products, the thermogravimetric analysis data indicating a relationship between a mass change rate and a temperature of the sample during a pyrolysis and combustion process; Obtaining a first temperature and a first mass change rate corresponding to a mass change rate peak value of each sample based on the thermogravimetric analysis data; Drawing a scatter plot of the plurality of samples based on a first temperature and a first mass change rate of each sample, wherein the horizontal and vertical coordinates of the scatter plot are respectively associated with the temperature and the mass change rate; as well as Tobacco product design is performed based on the scatter plot to obtain a target tobacco product.

8. The method according to claim 7, wherein the constituent material comprises at least any one of the following: tobacco leaf; cigarette papers; or essence.

9. The method according to claim 7, wherein the step of designing a tobacco product based on the scatter plot to obtain a target tobacco product comprises: Calculating a Euclidean distance between a first scatter point and a second scatter point in the scatter plot, wherein the first scatter point corresponds to a first sample among the multiple samples, and the second scatter point corresponds to a second sample among the multiple samples; as well as Tobacco product design is performed based on the Euclidean distance to obtain a target tobacco product.

10. The method according to claim 9, wherein the first sample is an original sample corresponding to an original tobacco product, and the second sample is a replacement sample for replacing the original sample, The designing of tobacco products based on the Euclidean distance to obtain a target tobacco product comprises: In response to determining that the Euclidean distance is less than a preset first threshold, the first sample is replaced with the second sample in the target tobacco product.

11. The method according to claim 10, wherein the step of designing a tobacco product based on the Euclidean distance to obtain a target tobacco product further comprises: In response to determining that the Euclidean distance is less than a preset first threshold, and in response to determining that the difference between the first mass change rate of the second sample and the first mass change rate of the first sample is less than a preset second threshold or in response to determining that the difference between the first temperature of the second sample and the first temperature of the first sample is less than a preset third threshold, the first sample is replaced with the second sample in the target tobacco product.

12. The method according to claim 7, wherein the step of designing a tobacco product based on the scatter plot to obtain a target tobacco product comprises: Calculating a difference between first temperatures of a first scatter point and a second scatter point in the scatter plot and / or calculating a difference between first mass change rates of a first scatter point and a second scatter point in the scatter plot, wherein the first scatter point corresponds to a first sample among the plurality of samples, and the second scatter point corresponds to a second sample among the plurality of samples; as well as Tobacco product design is performed based on the difference between the first temperatures and / or the difference between the first mass change rates to obtain a target tobacco product.

13. The method according to claim 7, wherein the step of designing a tobacco product based on the scatter plot to obtain a target tobacco product comprises: Dividing the scatter plot into a plurality of temperature intervals according to coordinates associated with temperature; selecting scattered points falling within a specific mass change rate interval in each of the plurality of temperature intervals; and The samples corresponding to the selected scattered points are added into the target tobacco product.

14. The tobacco product design method according to claim 7, wherein the step of drawing a scatter plot of the plurality of samples based on the first temperature and the first mass change rate of each sample comprises: Normalizing the first temperatures of the plurality of samples, and drawing the scatter plot based on the normalized first temperatures; and / or The first mass change rates of the plurality of samples are normalized, and the scatter plot is drawn based on the normalized first mass change rates.

15. The method according to claim 14, wherein normalizing the first temperatures of the plurality of samples comprises: determining a minimum first temperature and a maximum first temperature among the first temperatures of the plurality of samples; as well as The minimum first temperature is mapped to a lower limit of the temperature score, the maximum first temperature is mapped to an upper limit of the temperature score, and the other first temperatures of the multiple samples except the minimum first temperature and the maximum first temperature are linearly mapped to temperature scores between the lower limit of the temperature score and the upper limit of the temperature score.

16. The method according to claim 14, wherein normalizing the first mass change rates of the plurality of samples comprises: determining a minimum first mass change rate and a maximum first mass change rate among the first mass change rates of the plurality of samples; as well as The minimum first mass change rate is mapped to a lower limit of the mass change rate score, the maximum first mass change rate is mapped to an upper limit of the mass change rate score, and the other first mass change rates among the first mass change rates of the multiple samples except the minimum first mass change rate and the maximum first mass change rate are linearly mapped to mass change rate scores between the lower limit of the mass change rate score and the upper limit of the mass change rate score. 17 . The method according to claim 7 , wherein at least one sample among the plurality of samples has a plurality of mass change rate peak values, and the scatter plot comprises a plurality of scatter plots corresponding to the plurality of mass change rate peak values.

18. A device for tobacco product design, comprising: Memory; as well as A processor coupled to the memory is configured to execute the method according to any one of claims 7 to 17 based on instructions stored in the memory.

19. A computer-readable storage medium comprising computer program instructions, wherein: When the computer program instructions are executed by a processor, the method according to any one of claims 7 to 17 is implemented.

20. A computer program product comprising a computer program, wherein: When the computer program is executed by a processor, the method according to any one of claims 7 to 17 is implemented.

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