Method, device and equipment for determining thermal weight loss information of tobacco and medium

Abstract

The embodiment of the invention provides a method, device and equipment for determining thermal weight loss information of tobacco and a medium, and the method comprises the steps that a first sample is obtained, and the first sample is composed of at least one type of tobacco shreds and / or tobacco leaves; when it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold value, the first sample is placed in a second environment, and when it is detected that the first sample meets a first condition corresponding to the second environment, a second sample is obtained; acquiring a second sample in a powder state, and in a third environment, determining data of sample mass of the second sample along with temperature change to obtain thermal weight loss information of the first sample; according to the technical scheme, in the process that the second sample in the powder state is heated in the third environment, the thermal weight loss information of the tobacco shreds and / or the tobacco leaves is determined, and the effects of optimizing the design of the tobacco and improving the stability and reliability of the tobacco are achieved.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the technical field of heated cigarettes, and in particular, to a method, device, equipment, and medium for determining the thermal weight loss information of tobacco. Background Art

[0002] With the rapid development of new tobacco, heated cigarette products have gradually emerged. In heated cigarette products, controlling the heating temperature and monitoring the change of tobacco quality with heating temperature and heating time are very useful for studying heated cigarette technology and optimizing the design of heated cigarettes.

[0003] Currently, the main method for determining the change of tobacco quality with heating temperature and heating time is to record the quality change at different temperatures or times, plot the mass loss curve, and determine the change information of tobacco quality with heating temperature or heating time according to the mass loss curve. However, the mass loss curve can only reflect the single-dimensional data of quality change with heating temperature or heating time, can only provide limited trend analysis, has limited prediction ability, and cannot effectively handle the influence of complex non-linear relationships and multi-factor interactions on tobacco quality. Summary of the Invention

[0004] Embodiments of the present disclosure provide a method, device, equipment, and medium for determining the thermal weight loss information of tobacco, so as to determine the thermal weight loss information of cut tobacco and / or tobacco leaves in heated cigarette tobacco, achieving the effects of optimizing the design of tobacco and improving the stability and reliability of tobacco.

[0005] In a first aspect, embodiments of the present disclosure provide a method for determining the thermal weight loss information of tobacco, the method comprising:

[0006] Obtaining a first sample, wherein the first sample is composed of at least one type of cut tobacco and / or tobacco leaves;

[0007] When it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, placing the first sample into a second environment to obtain a second sample when it is detected that the first sample meets the first condition corresponding to the second environment;

[0008] Obtaining the second sample in a powder state, and determining the data of the sample mass change with temperature of the second sample in a third environment to obtain the thermal weight loss information of the first sample;

[0009] Wherein, the third environment, the second environment, and the first environment are different from each other, and the thermal weight loss information includes heating temperature, heating duration, and the sample mass value at the heating temperature and heating duration.

[0010] Second aspect, an embodiment of the present invention further provides a device for determining the thermal weight loss information of tobacco, and the device includes:

[0011] A first sample acquisition module, configured to acquire a first sample, where the first sample is composed of at least one type of cut tobacco and / or tobacco leaves;

[0012] A second sample obtaining module, configured to place the first sample into a second environment when it is detected that a first actual duration of the first sample in a first environment reaches a first duration threshold, so as to obtain a second sample when it is detected that the first sample meets a first condition corresponding to the second environment;

[0013] A thermal weight loss information obtaining module, configured to acquire the second sample in a powder state, and determine data of the sample mass of the second sample changing with temperature in a third environment, so as to obtain the thermal weight loss information of the first sample;

[0014] Wherein, the third environment, the second environment, and the first environment are different from each other, and the thermal weight loss information includes a heating temperature, a heating duration, and a sample mass value at the heating temperature and the heating duration.

[0015] Third aspect, an embodiment of the present invention further provides an electronic device, and the electronic device includes:

[0016] One or more processors;

[0017] A storage device, configured to store one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for determining the thermal weight loss information of tobacco according to any one of the embodiments of the present invention.

[0019] Fourth aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute the method for determining the thermal weight loss information of tobacco according to any one of the embodiments of the present invention when executed by a computer processor.

[0020] Fifth aspect, an embodiment of the present invention further provides a computer program product, including a computer program, characterized in that the computer program implements the method for determining the thermal weight loss information of tobacco according to any one of the embodiments of the present invention when executed by a processor.

[0021] In the technical solution of the embodiment of the present disclosure, a first sample composed of at least one type of cut tobacco and / or tobacco leaves is obtained. The first sample is placed in a first environment. When it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, the first sample is placed in a second environment. When it is detected that the first sample meets the first condition corresponding to the second environment, a second sample is obtained. Finally, the obtained second sample in a powder state is placed in a third environment, and data on the change of the sample mass with temperature is determined to obtain the thermogravimetric information of the first sample. Among them, the first environment, the second environment, and the third environment are different from each other. The thermogravimetric information includes the heating temperature, the heating duration, and the sample mass value at the heating temperature and the heating duration, which solves the problem in the prior art that when determining the change information of the mass with the heating temperature or the heating time based on the mass loss curve, there is only single-dimensional data that can only reflect the change of the mass with the heating temperature or the heating time, can only provide limited trend analysis, has limited prediction ability, and cannot effectively handle the influence of complex non-linear relationships and multi-factor interactions on the quality of tobacco. In the embodiment of the present invention, during the heating process of the second sample in a powder state in the third environment, the thermogravimetric information of the cut tobacco and / or tobacco leaves of the heated cigarette tobacco is determined, which has higher prediction accuracy, can better describe and predict complex dynamic reaction processes, can simultaneously consider the interaction between multiple factors (temperature, time, mass), has strong flexibility, and achieves the effects of optimizing the design of the heated cigarette tobacco and improving the stability and reliability of the heated cigarette tobacco. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the introduced drawings are only the drawings of a part of the embodiments to be described by the present invention, rather than all the drawings. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0023] Figure 1 is a flowchart of a method for determining the thermogravimetric information of tobacco provided by an embodiment of the present disclosure;

[0024] Figure 2 is a flowchart of another method for determining the thermogravimetric information of tobacco provided by an embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0026] Figure 4 is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0027] Figure 5It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0028] Figure 6 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0029] Figure 7 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0030] Figure 8 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0031] Figure 9 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0032] Figure 10 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0033] Figure 11 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0034] Figure 12 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0035] Figure 13 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0036] Figure 14 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0037] Figure 15 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0038] Figure 16 It is a schematic diagram of a target surface provided by an embodiment of the present invention;

[0039] Figure 17 It is a schematic diagram of a structure of a device for determining the thermal weight loss information of tobacco provided by an embodiment of the present invention;

[0040] Figure 18 It is a schematic diagram of a structure of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0041] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only for explaining the present invention, rather than limiting the present invention. Additionally, it should be noted that for the sake of description, only parts related to the present invention rather than all structures are shown in the accompanying drawings.

[0042] Before introducing the technical solutions provided by the embodiments of the present disclosure, an exemplary description of the application scenario can be given first. The technical solutions provided by the embodiments of the present disclosure can be applied in the field of heated tobacco for cigarettes to determine the thermal weight loss information of tobacco shreds and / or tobacco leaves. For example, for a certain tobacco leaf raw material used to make heated tobacco for cigarettes, after a series of treatments, the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of this tobacco leaf raw material during heating can be obtained. The thermal weight loss information of this tobacco leaf raw material can be determined based on the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration.

[0043] It should be noted that heated tobacco for cigarettes is a special type of tobacco used for heating non-combustible tobacco products. It is different from traditional cigarette tobacco because its design purpose is to be heated at a low temperature rather than burned, thereby reducing the generation of harmful chemicals. The raw materials for making heated tobacco for cigarettes are usually a mixture of various types of tobacco leaves. The finished product of heated tobacco for cigarettes is usually not traditional tobacco shreds, but tobacco shreds after compression or special treatment.

[0044] Based on the technical solutions of the embodiments of the present disclosure, during the heating process of the second sample in the powder state in the third environment, the thermal weight loss information of tobacco shreds and / or tobacco leaves is determined, the design of heated tobacco for cigarettes is optimized, and the stability and reliability of heated tobacco for cigarettes are improved.

[0045] Embodiment 1

[0046] Figure 1 FIG. is a schematic flowchart of a method for determining the thermal weight loss information of tobacco provided by the embodiments of the present disclosure. The embodiments of the present disclosure are applicable to the situation of determining the thermal weight loss information of tobacco based on the heating temperature, heating duration, and sample mass value of at least one type of tobacco shreds and / or tobacco leaves during heating. This method can be executed by a device for determining the thermal weight loss information of tobacco. This device can be implemented in the form of software and / or hardware. The hardware can be a mobile electronic device, and this electronic device can execute the method for determining the thermal weight loss information of tobacco provided by this technical solution.

[0047] As Figure 1 shown, the method includes:

[0048] S110. Obtain a first sample.

[0049] Wherein, the first sample is composed of at least one type of tobacco shreds and / or tobacco leaves.

[0050] It should be noted that the raw materials for making heated tobacco usually include various types of tobacco leaves, and different types of tobacco leaves vary in flavor, structure, origin, and chemical composition. The presence of multiple types of tobacco leaves is mainly to ensure that the finished cut tobacco has an appropriate taste. Different combinations of tobacco leaves can be processed to obtain different types of finished cut tobacco. The structures and water contents of different types of tobacco leaves are different, which may affect their performance during heating. The purpose of obtaining the first product is to determine the thermal weight loss information of different types of cut tobacco and / or tobacco leaves, and then adjust the material selection and processing process based on the thermal weight loss information of the cut tobacco and / or tobacco leaves to ensure that the heated tobacco can effectively release smoke and provide a stable experience during the non-combustion heating process.

[0051] Specifically, at least one type of cut tobacco and / or tobacco leaves can be obtained, that is, the first sample is obtained.

[0052] S120. When it is detected that the first actual duration of the first sample in the first environment reaches the first duration threshold, the first sample is placed in the second environment to obtain a second sample when it is detected that the first sample meets the first condition corresponding to the second environment.

[0053] In this embodiment, the first environment includes an environmental temperature in the first temperature range, an environmental humidity in the first humidity range, and a standing duration in the first duration range.

[0054] Among them, the first temperature range can be 22°C, the first humidity range can be 60% relative humidity. The first duration range can be more than 48h. The first actual duration refers to the standing duration of the first sample in the first environment. The first duration threshold can be the shortest standing duration of the first sample in the first environment. When the first duration threshold is exceeded, the first sample can be placed in the second environment.

[0055] In this embodiment, the second environment corresponds to the environment where the first sample is in an oven. The second environment is that the first sample is heated at the second temperature for the second duration, and then left standing in the third temperature range and the second humidity range for the third duration range after adding a preset organic raw material.

[0056] Optionally, the second temperature can be 150°C. The second duration can be 5 min. In this embodiment, the organic raw material can be glycerol. The third temperature range can be 30°C. The second humidity range can be 40% relative humidity. The third duration range can be more than 72h. The first condition refers to the condition that the first sample is heated at the second temperature for the second duration and then left standing in the third temperature range and the second humidity range for the third duration range after adding a preset organic raw material. The second sample refers to the sample obtained when the first condition corresponding to the second environment is met.

[0057] It should be noted that the mass fraction range of the preset organic raw material added to the first sample can be 0% to 15% of the mass of the first sample.

[0058] Specifically, after obtaining the first sample, first place the first sample in a first environment with an ambient temperature in a first temperature range, an ambient humidity in a first humidity range, and a standing time in a first time range. When the first actual time of the first sample in the first environment reaches the first time threshold, place the first sample in a second environment. For the first sample placed in the second environment, first, heat the first sample in an oven at a second temperature for a second time. Then, add a preset organic raw material with a certain mass fraction range to the first sample that has been heated in the oven. Further, let the first sample after adding the preset organic raw material stand in a third temperature range and a second humidity range for a third time range, and thus obtain the second sample.

[0059] Exemplarily, after obtaining the first sample, the first sample can be placed in an environment with a temperature of 22°C and a humidity of 60% for 48 h. When the standing time is greater than or equal to 48 h, the first sample is placed in a second environment. Place the first sample in an oven at a temperature of 150°C and heat for 5 min. After the heating time is reached, glycerol with a mass fraction range of 0% to 15% of the mass of the first sample can be added to the first sample. After adding glycerol to the first sample, the first sample can be placed in an environment with a temperature of 30°C and a humidity of 40% for 72 h. When the standing time is greater than or equal to 72 h, the second sample is obtained.

[0060] S130. Obtain the second sample in a powder state, and in a third environment, determine the data of the sample mass of the second sample changing with temperature to obtain the thermogravimetric information of the first sample.

[0061] It should be noted that the second sample in a powder state can be obtained by means such as manual grinding, a pulverizer, or a ball mill. Optionally, the second sample can be ground into powder with a size of 0.30 - 0.45 mm, and 20 mg is weighed as the second sample heated in the third environment. The third environment, the second environment, and the first environment are different from each other. The thermogravimetric information includes the heating temperature, the heating time, and the sample mass value at the heating temperature and the heating time. The sample mass value at the heating time refers to the remaining sample mass of the second sample in a powder state during the heating process.

[0062] In this embodiment, the third environment is an environment where the second sample on a thermogravimetric analyzer is under a first inert gas, the carrier gas flow rate is in a first flow rate numerical range, the heating rate is in a first rate range, and the temperature change range is in a fourth temperature range.

[0063] Among them, a thermogravimetric analyzer is an instrument used to measure the mass change of a substance during heating. In the embodiments of the present invention, the thermogravimetric analyzer can monitor the remaining sample mass of the second sample in powder state during heating in an environment where the temperature change range is the fourth temperature range. It should be noted that a thermogravimetric analyzer generally consists of a heating furnace, a high-precision balance, an atmosphere control system, and a data acquisition and analysis system. The heating furnace can be used to control the temperature of the second sample. The high-precision balance can be used to measure the remaining sample mass of the second sample in powder state during heating. The atmosphere control system can be used to set the atmosphere when the second sample is heated, such as air, nitrogen, helium, etc. The data acquisition and analysis system can be used to record and analyze the heating temperature and the sample mass value at the heating temperature to obtain the thermogravimetric information of the first sample.

[0064] It should be noted that the first inert gas can be nitrogen. The carrier gas flow rate refers to the gas flow rate of nitrogen flowing into the second sample area during the experiment. By setting the value of the carrier gas flow rate, a stable environment can be provided to help control the reaction atmosphere of the second sample and avoid unwanted reactions of the sample due to the participation of oxygen or other gases. The carrier gas flow rate needs to be reasonably selected and controlled according to the sample properties and experimental purposes. In the embodiments of the present invention, the first flow rate value range can be 30 mL / min. The heating rate refers to the speed at which the temperature rises during the heating process of the second sample in the thermogravimetric analyzer, that is, the change in temperature per unit time. By adjusting the heating rate, the pyrolysis process of the second sample can be controlled, the thermal stability of the second sample under different conditions can be studied, and the accuracy and repeatability of the experiment can be affected. Selecting an appropriate heating rate is crucial for obtaining accurate experimental data. In the embodiments of the present invention, the first rate range can be 20 °C / min. The temperature change range of the thermogravimetric analyzer refers to the temperature interval that the thermogravimetric analyzer can effectively control and monitor during thermogravimetric analysis. The temperature change range represents the boundaries of the lowest temperature and the highest temperature at which the second sample can be heated during the analysis. Selecting an appropriate temperature change range is crucial for obtaining accurate experimental data and studying the thermal properties of the sample. In the embodiments of the present invention, the fourth temperature range can be from 25 °C to 450 °C, and the thermogravimetric analyzer can be kept at a constant temperature for more than 20 min at the highest temperature.

[0065] Specifically, after processing the second sample into a powder state by means of manual grinding or the like, the second sample in the powder state is placed in a crucible and then placed in a thermogravimetric analyzer. The parameters of the thermogravimetric analyzer are adjusted, and the atmosphere during the heating of the second sample is set to a first inert gas through the atmosphere control system, the carrier gas flow rate is set to a first flow rate range, the heating rate is set to a first rate range, and the temperature change range is set to a fourth temperature range. The data of the sample mass of the second sample changing with temperature is determined, and based on the heating duration data recorded by a clock or the like, the thermogravimetric information of the first sample is obtained.

[0066] Exemplarily, after processing the second sample into a powder state of 0.30 - 0.45 mm by means of manual grinding, 20 mg of the second sample can be weighed. The 20 mg of the second sample is placed in a crucible and then placed in a thermogravimetric analyzer for heating. The parameters of the thermogravimetric analyzer can be adjusted, the atmosphere during the heating of the second sample is set to nitrogen, the carrier gas flow rate is set to 30 mL / min, the heating rate is set to 20 °C / min, and the temperature change range is set to 25 °C to 450 °C. Moreover, the thermogravimetric analyzer can be kept at a constant temperature for more than 20 min at the highest temperature. After adjusting the parameters of the thermogravimetric analyzer, the second sample is heated. During the heating of the second sample, the data of the sample mass of the second sample changing with temperature is determined through the data acquisition and analysis system of the thermogravimetric analyzer. Then, based on the heating time data recorded by a clock during the heating process, the thermogravimetric information of the first sample can be obtained.

[0067] In the technical solution of the embodiment of the present disclosure, a first sample composed of at least one type of cut tobacco and / or tobacco leaves is obtained. The first sample is placed in a first environment. When it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, the first sample is placed in a second environment. When it is detected that the first sample meets the first condition corresponding to the second environment, a second sample is obtained. Finally, the obtained second sample in a powder state is placed in a third environment, and data on the change of the sample mass of the second sample with temperature is determined to obtain the thermogravimetric information of the first sample. Among them, the first environment, the second environment, and the third environment are different from each other. The thermogravimetric information includes the heating temperature, the heating duration, and the sample mass value at the heating temperature and the heating duration, which solves the problem in the prior art that when determining the change information of the mass with the heating temperature or the heating time based on the mass loss curve, there is only single-dimensional data that can only reflect the change of the mass with the heating temperature or the heating time, can only provide limited trend analysis, has limited prediction ability, and cannot effectively handle the influence of complex non-linear relationships and multi-factor interactions on the quality of heated cigarette tobacco. In the embodiment of the present invention, during the heating process of the second sample in a powder state in the third environment, the thermogravimetric information of the cut tobacco and / or tobacco leaves is determined, which has higher prediction accuracy, can better describe and predict complex dynamic reaction processes, can simultaneously consider the interaction between multiple factors (temperature, time, mass), has strong flexibility, and achieves the effect of optimizing the design of heated cigarette tobacco and improving the stability and reliability of heated cigarette tobacco.

[0068] Embodiment 2

[0069] Figure 2 It is a schematic flowchart of a method for determining the thermogravimetric information of tobacco provided by the embodiment of the present invention. On the basis of the foregoing embodiment, a detailed description is made after obtaining the thermogravimetric information, and the specific implementation manner can refer to the technical solution of this embodiment. Among them, the same or corresponding technical terms as those in the above embodiment will not be elaborated here.

[0070] As Figure 2 shown, the method specifically includes the following steps:

[0071] S210. Obtain a first sample.

[0072] S220. When it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, place the first sample in a second environment so as to obtain a second sample when it is detected that the first sample meets the first condition corresponding to the second environment.

[0073] S230. Obtain the second sample in a powder state, and in the third environment, determine the data of the change of the sample mass of the second sample with temperature to obtain the thermogravimetric information of the first sample.

[0074] S240. Divide the thermogravimetric information into at least two groups of sub-thermogravimetric information according to the heating temperature, the fourth temperature range, and the temperature adjustment step size in the thermogravimetric information.

[0075] Among them, the temperature adjustment step size refers to the step size of temperature adjustment in the fourth temperature range. For example, according to the temperature adjustment step size, the fourth temperature range can be divided into different temperature intervals. The first temperature interval can be from 25°C to 100°C, the second temperature interval can be from 100°C to 200°C, the third temperature interval can be from 200°C to 300°C, the fourth temperature interval can be from 300°C to 400°C, and the fifth temperature interval can be from 400°C to 450°C. The thermogravimetric information can be divided according to the above five temperature intervals or their combined temperature intervals. For example, the fourth temperature range can be divided from the first temperature interval to the fifth temperature interval, and at the same time, the heating duration corresponding to different temperature intervals and the sample mass values corresponding to the heating temperature and heating duration are divided. Each group of thermogravimetric information obtained by the division is used as sub-thermogravimetric information, and the sub-thermogravimetric information includes the heating temperature, the corresponding heating duration, and the sample mass values corresponding to the heating temperature and heating duration in five temperature intervals or their combined temperature intervals.

[0076] Specifically, after obtaining the thermogravimetric information of the first sample based on devices such as a thermogravimetric analyzer and a clock, the fourth temperature range can be divided into different temperature intervals according to the heating temperature, the fourth temperature range, and the temperature adjustment step size in the thermogravimetric information. Then, according to different temperature intervals or combined temperature intervals, the thermogravimetric information is divided. The heating temperature, heating duration, and the sample mass value at the heating temperature and heating duration divided into one group are used as the sub-thermogravimetric information of this group.

[0077] Exemplarily, after obtaining the thermogravimetric information of the first sample based on devices such as a thermogravimeter and a clock, the fourth temperature range can be divided into five temperature intervals: 25°C to 100°C, 100°C to 200°C, 200°C to 300°C, 300°C to 400°C, and 400°C to 450°C according to the heating temperature, the fourth temperature range, and the temperature adjustment step length in the thermogravimetric information. Further, the heating durations and sample mass values corresponding to these five temperature intervals are respectively divided. The heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of the group divided into the temperature range of 25°C to 100°C are used as the first set of sub-thermogravimetric information; the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of the group divided into the temperature range of 100°C to 200°C are used as the second set of sub-thermogravimetric information; the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of the group divided into the temperature range of 200°C to 300°C are used as the third set of sub-thermogravimetric information; the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of the group divided into the temperature range of 300°C to 400°C are used as the fourth set of sub-thermogravimetric information; the heating temperature, heating duration, and sample mass value at the heating temperature and heating duration of the group divided into the temperature range of 400°C to 450°C are used as the fifth set of sub-thermogravimetric information.

[0078] S250. For at least two sets of sub-thermogravimetric information, according to the heating temperature, heating duration, sample mass, and target model in the sub-thermogravimetric information, determine the non-linear prediction equation corresponding to the sub-thermogravimetric information.

[0079] Among them, the target model refers to the differential equation for determining the non-linear prediction equation corresponding to the sub-thermogravimetric information.

[0080] Optionally, the target model can be:

[0081]

[0082] Among them, G is the sample mass, k1 - k 15 are the fitting parameters of the target model, x is the heating temperature, y is the heating duration, m is 0 or 4, and n is 0 or 3.

[0083] It should be noted that for each set of sub-thermogravimetric information, after substituting the obtained heating temperature, heating duration, and sample mass into the target model, the fitting parameters of the target model can be determined. The target model with the fitting parameters, m, and n of the target model determined is called the non-linear prediction equation corresponding to a certain set of sub-thermogravimetric information. And the non-linear prediction equations determined according to each set of sub-thermogravimetric information are different.

[0084] Optionally, based on the sub-thermogravimetric information, obtain the first thermogravimetric information of the first preset number of groups, where the number of the first preset number of groups is not less than the number of parameters to be determined in the target model; for any sub-thermogravimetric information, substitute the heating temperature, heating duration, and sample mass in the first thermogravimetric information into the target model to obtain the first equation; according to the first equation corresponding to the first thermogravimetric information and the array of the second preset number of groups, determine the model determination coefficient corresponding to each array, where the model determination coefficient is used to characterize the goodness of fit of the target model; according to the model determination coefficient, determine the non-linear prediction equation corresponding to the sub-thermogravimetric information.

[0085] Among them, the first thermogravimetric information refers to the heating temperature, heating duration, and sample mass value corresponding to each group in the sub-thermogravimetric information. The first preset number of groups refers to the number of the first thermogravimetric information in the sub-thermogravimetric information. To ensure that the fitting parameters of the target model are calculated, the number of the first preset number of groups should not be less than the number of parameters to be determined in the target model. The first equation refers to the equation obtained after substituting the first thermogravimetric information of the first preset number of groups into the target model. The array refers to the array composed of the values of m and n. Optionally, the array can be [0,0], [0,3], [4,0], and [4,3]. The second preset number of groups refers to the number of arrays, that is, 4. After substituting different arrays into the first equation, the model determination coefficient corresponding to each array can be calculated. According to the array corresponding to the highest model determination coefficient, determine the non-linear prediction equation corresponding to the sub-thermogravimetric information. The model determination coefficient is an index used in regression analysis to evaluate the goodness of fit of the target model, indicating the proportion of the variation of the dependent variable that can be explained by the independent variable. The maximum value of the model determination coefficient is 1, and the closer it is to 1, the higher the fitting accuracy of the target model is proved.

[0086] In this embodiment, based on the non-linear prediction equations corresponding to all sub-thermogravimetric information, determine the target surface corresponding to the first sample, so as to determine the thermogravimetric change of the first sample based on the target surface.

[0087] Among them, the target surface refers to the surface formed in the input-output space after mapping multiple input variables (heating time and heating temperature) to an output quantity (sample mass) according to the non-linear prediction equation. The target surface is a set of output values fitted / predicted by the non-linear prediction equation within a certain range of input variables, forming a geometric representation at the visualization level. Through the target surface, it can help to more intuitively understand the sample mass performance index of the first sample under different heating time and heating temperature conditions.

[0088] Specifically, after obtaining each set of sub-thermogravimetric information, the subsequent calculations are the same. Therefore, one set of sub-thermogravimetric information is taken as an example for illustration. After obtaining one set of sub-thermogravimetric information, this set of sub-thermogravimetric information includes the first thermogravimetric information of the first preset number of groups. After substituting the heating temperature, heating duration, and sample mass of the first preset number of groups into the target model, the arrays of the second preset number are brought into the target model, and the model determination coefficient and the fitting parameters of the target model corresponding to each array are calculated. According to the array with the largest model determination coefficient and the fitting parameters of the target model, the nonlinear prediction equation corresponding to this set of sub-thermogravimetric information is determined. According to the nonlinear prediction equation, a target surface composed of the set of output values predicted by the nonlinear prediction equation within a certain input variable range can be obtained.

[0089] In the technical solution of the embodiment of the present disclosure, after obtaining the thermogravimetric information of the first sample, according to the heating temperature, the fourth temperature range, and the temperature adjustment step size in the thermogravimetric information, the thermogravimetric information is divided into at least two sets of sub-thermogravimetric information. For each set of sub-thermogravimetric information, according to the heating temperature, heating duration, sample mass, and target model in the sub-thermogravimetric information, the nonlinear prediction equation corresponding to the sub-thermogravimetric information is determined, which can describe the relationship between the sample mass and the heating temperature and heating time in the sub-thermogravimetric information of at least one type of cut tobacco and / or tobacco leaf, providing an important reference for studying the characteristics of heated cut tobacco and / or tobacco leaf. Calculating the nonlinear prediction equation based on multiple temperature intervals can obtain a more accurate nonlinear prediction equation, improving the accuracy and reliability of the prediction. According to the nonlinear prediction equation, a target surface composed of the set of output values predicted by the nonlinear prediction equation within a certain input variable range can be obtained. Through the target surface, the thermogravimetric change of the first sample under different conditions can be simulated, which can help optimize the design of the heated cigarette, improve its thermal stability and combustion performance. Reduce the number of experiments, shorten the R & D cycle, and reduce the R & D cost.

[0090] As an optional embodiment of the above embodiment, Figure 3 is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 3 , when the mass of the preset organic raw material glycerol added to the first sample is 0%, the heating temperature in the sub-thermogravimetric information is in the range of 25°C to 100°C, and the surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0091] As an optional embodiment of the above embodiment, Figure 4 is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 4, when the mass of the preset organic raw material glycerol added to the first sample is 0%, the heating temperature in the sub-thermogravimetric information is in the range of 100°C to 450°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaves varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0092] As an alternative embodiment of the above embodiment, Figure 5 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 5 , when the mass of the preset organic raw material glycerol added to the first sample is 5%, the heating temperature in the sub-thermogravimetric information is in the range of 25°C to 100°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaves varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0093] As an alternative embodiment of the above embodiment, Figure 6 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 6 , when the mass of the preset organic raw material glycerol added to the first sample is 5%, the heating temperature in the sub-thermogravimetric information is in the range of 100°C to 200°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaves varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0094] As an alternative embodiment of the above embodiment, Figure 7 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 7 , when the mass of the preset organic raw material glycerol added to the first sample is 5%, the heating temperature in the sub-thermogravimetric information is in the range of 200°C to 400°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaves varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0095] As an alternative embodiment of the above embodiment, Figure 8 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 8 , when the mass of the preset organic raw material glycerol added to the first sample is 5%, the heating temperature in the sub-thermogravimetric information is in the range of 400°C to 450°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaves varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0096] As an alternative embodiment of the above embodiment, Figure 9 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer toFigure 9 When the mass of the preset organic raw material glycerol added to the first sample is 10%, the heating temperature in the sub-thermogravimetric information is in the range of 25°C to 100°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0097] As an alternative embodiment of the above embodiment, Figure 10 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 10 When the mass of the preset organic raw material glycerol added to the first sample is 10%, the heating temperature in the sub-thermogravimetric information is in the range of 100°C to 200°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0098] As an alternative embodiment of the above embodiment, Figure 11 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 11 When the mass of the preset organic raw material glycerol added to the first sample is 10%, the heating temperature in the sub-thermogravimetric information is in the range of 200°C to 400°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0099] As an alternative embodiment of the above embodiment, Figure 12 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 12 When the mass of the preset organic raw material glycerol added to the first sample is 10%, the heating temperature in the sub-thermogravimetric information is in the range of 400°C to 450°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0100] As an alternative embodiment of the above embodiment, Figure 13 This is a schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 13 When the mass of the preset organic raw material glycerol added to the first sample is 15%, the heating temperature in the sub-thermogravimetric information is in the range of 25°C to 100°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf changing with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0101] As an alternative embodiment of the above embodiment, Figure 14A schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 14 , when the mass of the preset organic raw material glycerol added to the first sample is 15%, the heating temperature in the sub-thermogravimetric information is in the range of 100°C to 200°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0102] As an optional embodiment of the above embodiment, Figure 15 A schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 15 , when the mass of the preset organic raw material glycerol added to the first sample is 15%, the heating temperature in the sub-thermogravimetric information is in the range of 200°C to 400°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample;

[0103] As an optional embodiment of the above embodiment, Figure 16 A schematic diagram of a target surface provided by an embodiment of the present invention. Refer to Figure 16 , when the mass of the preset organic raw material glycerol added to the first sample is 15%, the heating temperature in the sub-thermogravimetric information is in the range of 400°C to 450°C. The surface in the figure is the target surface of the sample mass of a certain type of cut tobacco and / or tobacco leaf varying with the heating temperature and heating time. Among them, the blue dots are the thermogravimetric information of the first sample.

[0104] Embodiment III

[0105] Figure 17 A schematic structural diagram of a device for determining the thermogravimetric information of tobacco provided by an embodiment of the present disclosure, as Figure 17 shown, the device includes: a first sample acquisition module 310, a second sample obtaining module 320, and a thermogravimetric information obtaining module 330.

[0106] The first sample acquisition module is used to acquire a first sample, where the first sample is composed of at least one type of cut tobacco and / or tobacco leaves; the second sample obtaining module is used to place the first sample in a second environment when it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, so as to obtain a second sample when it is detected that the first sample meets the first condition corresponding to the second environment; the thermal weight loss information obtaining module is used to acquire the second sample in a powder state and determine the data of the sample mass of the second sample changing with temperature in a third environment, so as to obtain the thermal weight loss information of the first sample; wherein, the third environment, the second environment and the first environment are different from each other, and the thermal weight loss information includes the heating temperature, the heating duration, and the sample mass value at the heating temperature and the heating duration.

[0107] The technical solution of the embodiment of the present disclosure acquires a first sample composed of at least one type of cut tobacco and / or tobacco leaves, places the first sample in a first environment, and when it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, places the first sample in a second environment, and when it is detected that the first sample meets the first condition corresponding to the second environment, obtains a second sample. Finally, the obtained second sample in a powder state is placed in a third environment, and the data of the sample mass of the second sample changing with temperature is determined to obtain the thermal weight loss information of the first sample. Wherein, the first environment, the second environment and the third environment are different from each other, and the thermal weight loss information includes the heating temperature, the heating duration, and the sample mass value at the heating temperature and the heating duration, which solves the problem in the prior art that when determining the change information of the mass with the heating temperature or heating time based on the mass loss curve, there is only a single-dimensional data reflecting the change of the mass with the heating temperature or heating time, which can only provide limited trend analysis, has limited prediction ability, and cannot effectively handle the influence of complex non-linear relationships and multi-factor interactions on the quality of heated cigarette tobacco. In the embodiment of the present invention, the thermal weight loss information of the cut tobacco and / or tobacco leaves is determined during the heating process of the second sample in a powder state in the third environment, which has higher prediction accuracy, can better describe and predict complex dynamic reaction processes, can simultaneously consider the interaction between multiple factors (temperature, time, mass), has strong flexibility, and achieves the effects of optimizing the design of heated cigarette tobacco and improving the stability and reliability of heated cigarette tobacco.

[0108] On the basis of the above technical solutions, the first environment includes an environmental temperature in a first temperature range, an environmental humidity in a first humidity range, and a static duration in a first duration range.

[0109] Based on the above technical solutions, the second environment corresponds to the environment where the first sample is in an oven. The second environment is that the first sample is heated at a second temperature for a second duration, and after adding a preset organic raw material to the first sample, it is left standing within a third temperature range and a second humidity range for a third duration range.

[0110] Based on the above technical solutions, the third environment is an environment where a second sample located on a thermogravimetric analyzer is under a first inert gas, with a carrier gas flow rate within a first flow rate numerical range, a heating rate within a first rate range, and a temperature change range within a fourth temperature range.

[0111] Based on the above technical solutions, the device further includes: a sub-thermogravimetric information determination module and a non-linear prediction equation determination module.

[0112] The sub-thermogravimetric information determination module is used to divide the thermogravimetric information into at least two groups of sub-thermogravimetric information according to the heating temperature, the fourth temperature range, and the temperature adjustment step size in the thermogravimetric information; the non-linear prediction equation determination module is used to determine, for the at least two groups of sub-thermogravimetric information, a non-linear prediction equation corresponding to the sub-thermogravimetric information according to the heating temperature, heating duration, sample mass, and target model in the sub-thermogravimetric information.

[0113] Based on the above technical solutions, the non-linear prediction equation determination module includes: a first thermogravimetric information determination sub-module, a first equation determination sub-module, a model determination coefficient determination sub-module, and a non-linear prediction equation determination sub-module.

[0114] The first thermogravimetric information determination sub-module is used to obtain a first preset number of groups of first thermogravimetric information based on the sub-thermogravimetric information, where the number of the first preset number of groups is not less than the number of parameters to be determined in the target model; the first equation determination sub-module is used to substitute the heating temperature, heating duration, and sample mass in the first thermogravimetric information into the target model for any sub-thermogravimetric information to obtain a first equation; the model determination coefficient determination sub-module is used to determine the model determination coefficient corresponding to each array according to the first equation corresponding to the first thermogravimetric information and an array of a second preset number of groups, where the model determination coefficient is used to characterize the goodness of fit of the target model; the non-linear prediction equation determination sub-module is used to determine the non-linear prediction equation corresponding to the sub-thermogravimetric information according to the model determination coefficient.

[0115] Based on the above technical solutions, the device further includes: a target surface determination module. The target surface determination module is used to determine a target surface corresponding to the first sample based on the non-linear prediction equations corresponding to all sub-thermogravimetric information, so as to determine the thermogravimetric change of the first sample based on the target surface.

[0116] The device for determining the thermal weight loss information of tobacco provided by the embodiments of the present disclosure can execute the method for determining the thermal weight loss information of tobacco provided by any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects for executing the method.

[0117] It should be noted that the various units and modules included in the above device are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the embodiments of the present disclosure.

[0118] Embodiment Four

[0119] Figure 18 is a schematic structural diagram of an electronic device provided by the embodiments of the present disclosure. The following refers to Figure 18 , which shows a schematic structural diagram of an electronic device 500 suitable for implementing the embodiments of the present disclosure (such as Figure 18 the terminal device or server in Figure 18 The electronic device shown is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present disclosure.

[0120] As Figure 18 shown, the electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage device 508 into the random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. The editing / output (I / O) interface 505 is also connected to the bus 504.

[0121] Generally, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 can allow the electronic device 500 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 18An electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0122] In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 509, or installed from a storage device 508, or installed from a ROM 502. When the computer program is executed by a processing device 501, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are performed.

[0123] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0124] The electronic device provided in the embodiment of the present disclosure and the method for determining the thermal weight loss information of tobacco provided in the above embodiment belong to the same inventive concept. Technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0125] Embodiment Five

[0126] The embodiment of the present disclosure provides a computer storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the method for determining the thermal weight loss information of tobacco provided in the above embodiment.

[0127] It should be noted that the computer-readable medium described above in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0128] In some embodiments, the server can communicate using any currently known or future-developed network protocol, such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0129] The above computer-readable medium can be included in the above electronic device; or it can exist separately without being assembled into the electronic device.

[0130] The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is caused to:

[0131] Obtain a first sample, where the first sample is composed of at least one type of cut tobacco and / or tobacco leaves;

[0132] When it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, place the first sample into a second environment to obtain a second sample when it is detected that the first sample meets a first condition corresponding to the second environment;

[0133] Obtain the second sample in a powder state, and in a third environment, determine the data of the sample mass of the second sample changing with temperature to obtain the thermogravimetric information of the first sample;

[0134] Wherein, the third environment, the second environment, and the first environment are different from each other, and the thermogravimetric information includes a heating temperature, a heating duration, and a sample mass value at the heating temperature and the heating duration.

[0135] Computer program code for performing the operations of the present disclosure can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include, but are not limited to, object-oriented programming languages - such as Java, Smalltalk, C++; and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0136] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0137] The units involved in the embodiments described in the present disclosure can be implemented in software or in hardware. Among them, the name of the unit does not constitute a limitation on the unit itself in some cases.

[0138] The functions described above herein can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: Field Programmable Gate Arrays (FPGA), Application Specific Integrated Circuits (ASIC), Application Specific Standard Products (ASSP), System on a Chip (SOC), Complex Programmable Logic Devices (CPLD), and so on.

[0139] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM or Flash memory), an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0140] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

[0141] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0142] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A method for determining the thermal weight loss information of tobacco, characterized in that, Including: Obtain a first sample, where the first sample is composed of at least one type of cut tobacco and / or tobacco leaves; When it is detected that the first actual duration of the first sample in the first environment reaches the first duration threshold, place the first sample into the second environment to obtain a second sample when it is detected that the first sample meets the first condition corresponding to the second environment; Obtain the second sample in a powder state, and in the third environment, determine the data of the sample mass of the second sample changing with temperature to obtain the thermal weight loss information of the first sample; Wherein, the third environment, the second environment, and the first environment are different from each other, and the thermal weight loss information includes the heating temperature, the heating duration, and the sample mass value at the heating temperature and the heating duration.

2. The method according to claim 1, characterized in that, The first environment includes an environmental temperature in a first temperature range, an environmental humidity in a first humidity range, and a standing duration in a first duration range.

3. The method according to claim 1, wherein The second environment corresponds to the environment where the first sample is in an oven. The second environment is that the first sample is heated at a second temperature for a second duration, and after adding a preset organic raw material to the first sample, it is left standing in a third temperature range and a second humidity range for a third duration range.

4. The method according to claim 1, wherein The third environment is an environment where the second sample on the thermogravimetric analyzer is under a first inert gas, the carrier gas flow rate is in a first flow rate numerical range, the heating rate is in a first rate range, and the temperature change range is in a fourth temperature range.

5. The method according to claim 1, wherein After obtaining the thermal weight loss information, the method further includes: According to the heating temperature, the fourth temperature range, and the temperature adjustment step length in the thermal weight loss information, divide the thermal weight loss information into at least two groups of sub-thermal weight loss information; For the at least two groups of sub-thermal weight loss information, according to the heating temperature, the heating duration, the sample mass, and the target model in the sub-thermal weight loss information, determine the non-linear prediction equation corresponding to the sub-thermal weight loss information.

6. The method according to claim 5, characterized in that The determining the non-linear prediction equation corresponding to the sub-thermal weight loss information according to the heating temperature, the heating duration, the sample mass, and the target model in the sub-thermal weight loss information includes: According to the sub-thermal weight loss information, obtain a first preset number of groups of first thermal weight loss information, where the number of the first preset number of groups is not less than the number of parameters to be solved in the target model; For any sub-thermal weight loss information, substitute the heating temperature, the heating duration, and the sample mass in the first thermal weight loss information into the target model to obtain a first equation; According to the first equation corresponding to the first thermal weight loss information and an array of a second preset number of groups, determine the model determination coefficient corresponding to each array, where the model determination coefficient is used to characterize the goodness of fit of the target model; According to the model determination coefficient, determine the non-linear prediction equation corresponding to the sub-thermal weight loss information.

7. The method according to claim 5, characterized in that, The method further includes: Based on the non-linear prediction equations corresponding to all sub-thermal weight loss information, determine the target surface corresponding to the first sample, so as to determine the thermal weight change of the first sample based on the target surface.

8. An apparatus for determining the thermogravimetric information of tobacco, characterized in that, Including: The first sample acquisition module is configured to acquire a first sample, where the first sample is composed of at least one type of cut tobacco and / or tobacco leaves; The second sample obtaining module is configured to, when it is detected that the first actual duration of the first sample in the first environment reaches a first duration threshold, place the first sample into a second environment, so as to obtain a second sample when it is detected that the first sample meets a first condition corresponding to the second environment; The thermogravimetric information obtaining module is configured to acquire the second sample in a powder state, and determine data of the sample mass of the second sample changing with temperature in a third environment, so as to obtain the thermogravimetric information of the first sample; Wherein, the third environment, the second environment, and the first environment are different from each other, and the thermogravimetric information includes a heating temperature, a heating duration, and a sample mass value at the heating temperature and the heating duration.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the thermogravimetric information of tobacco according to any one of claims 1-7.

10. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to execute the method for determining the thermogravimetric information of tobacco according to any one of claims 1-7.

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