Oil storage cotton design method, device and equipment, storage medium and program product

Abstract

The invention is suitable for the technical field of aerosol generation equipment, and provides an oil storage cotton design method, device and equipment, a storage medium and a program product, and the method comprises the steps: obtaining a residual oil rate parameter corresponding to sample aerosol equipment, and obtaining a structure parameter corresponding to oil storage cotton in the sample aerosol equipment; and obtaining a first parameter calculation model based on a linear relationship between the structure parameter and the residual oil rate parameter.

Description

Technical Field

[0001] The present application belongs to the technical field of aerosol generating equipment, and in particular relates to oil storage cotton design methods, devices, equipment, storage media and program products. Background Art

[0002] With the development of technology, aerosol generating devices (also known as heat-not-burn devices) are increasingly widely used. Aerosol generating devices are often equipped with oil storage cotton (also known as oil guide cotton) to guide the aerosol generating matrix to the heating wire in the aerosol generating device for heating and atomization.

[0003] In related technologies, the residual oil rate of the oil storage cotton is determined by testing the usage time of the corresponding aerosol generating device, thereby determining the adaptability of the current structure of the oil storage cotton to the aerosol generating device.

[0004] However, due to the long testing cycle of the equipment's usage and high R&D costs, the design efficiency of the oil storage cotton structure is low. Summary of the Invention

[0005] The embodiments of the present application provide an oil storage cotton design method, device, equipment, storage medium and program product. A parameter calculation model is determined based on the residual oil rate of the sample equipment and the structural parameters of the oil storage cotton. The parameter calculation model is used to determine the structure of the oil storage cotton in the aerosol generating device, thereby improving the design efficiency of the oil storage cotton.

[0006] In a first aspect, an embodiment of the present application provides a method for designing an oil storage cotton, comprising:

[0007] Obtaining a residual oil rate parameter corresponding to a sample aerosol device and structural parameters corresponding to oil storage cotton in the sample aerosol device, wherein the sample aerosol device stores an aerosol generating matrix, and the residual oil rate parameter represents a remaining amount of the aerosol generating matrix after heating the sample aerosol device;

[0008] A first parameter calculation model is obtained based on the linear relationship between the structural parameters and the residual oil rate parameters. The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

[0009] Optionally, obtaining a first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter includes:

[0010] Taking the residual oil rate parameter as a dependent variable parameter and the structural parameter as an independent variable parameter, substituting the structural parameter and the residual oil rate parameter into a linear estimation model to obtain a regression parameter;

[0011] The first parameter calculation model is determined based on the regression parameters.

[0012] Optionally, the structural parameters include n+1 first sub-parameters, and the first parameter calculation model includes n+1 first sub-models, where n is a positive integer;

[0013] The residual oil rate parameter is used as the dependent variable parameter, and the structural parameter is used as the independent variable parameter. The structural parameter and the residual oil rate parameter are substituted into the linear estimation model to obtain the regression parameters, including:

[0014] When the other first sub-parameters except the n+1th first sub-parameter remain unchanged, the residual oil rate parameter is used as the dependent variable parameter and the n+1th structural parameter is used as the independent variable parameter, and the n+1th first sub-parameters and the residual oil rate parameter are substituted into the linear estimation model to obtain the n+1th regression parameter;

[0015] The determining the first parameter calculation model based on the regression parameter includes:

[0016] An n+1th first sub-model is determined based on the n+1th regression parameter.

[0017] Optionally, the structural parameters include at least one of a density parameter, a length-width difference parameter, an edge-to-center distance parameter, or a height-to-base ratio parameter of the oil storage cotton.

[0018] Optionally, after obtaining the first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter, the method further includes:

[0019] Obtaining a first reference residual oil rate corresponding to the aerosol generating device;

[0020] The first reference residual oil rate is input into the first parameter calculation model, and the structural parameter results corresponding to the oil storage cotton in the aerosol generating device are obtained as output.

[0021] Optionally, after obtaining the first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter, the method further includes:

[0022] Obtaining a second reference residual oil rate corresponding to the aerosol generating device, and obtaining a first structural parameter corresponding to the oil storage cotton in the aerosol generating device;

[0023] Inputting the first structural parameter into the first parameter calculation model, and outputting a residual oil rate result corresponding to the aerosol generating device;

[0024] Based on the difference between the second reference residual oil rate and the residual oil rate result, the first structural parameter is adjusted to obtain a second structural parameter.

[0025] Optionally, the first structural parameter includes a plurality of second sub-parameters, and the first parameter calculation model includes a plurality of first sub-models;

[0026] The step of inputting the first structural parameter into the first parameter calculation model and outputting a residual oil rate result corresponding to the aerosol generating device includes:

[0027] Inputting the plurality of second sub-parameters into the plurality of first sub-models respectively, and outputting a plurality of residual oil rate sub-results;

[0028] The average residual oil rate result corresponding to the plurality of residual oil rate sub-results is used as the residual oil rate result.

[0029] Optionally, the residual oil rate sub-result that meets the first condition among the multiple residual oil rate sub-results is used as the residual oil rate result.

[0030] In a second aspect, an embodiment of the present application provides an oil storage cotton design device, comprising:

[0031] an acquisition module, configured to acquire a residual oil rate parameter corresponding to a sample aerosol device, and structural parameters corresponding to an oil storage cotton in the sample aerosol device, wherein the sample aerosol device stores an aerosol generating matrix, and wherein the residual oil rate parameter represents a remaining amount of the aerosol generating matrix after heating the sample aerosol device;

[0032] A model calculation module is used to obtain a first parameter calculation model based on the linear relationship between the structural parameters and the residual oil rate parameters. The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

[0033] In a third aspect, an embodiment of the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the oil storage cotton design method described in any one of the first aspects above is implemented.

[0034] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the oil storage cotton design method described in any one of the first aspects.

[0035] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a computer device, enables the computer device to execute the oil storage cotton design method described in any one of the first aspects above.

[0036] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0037] The beneficial effects of the technical solutions provided in the embodiments of the present application include at least:

[0038] When the residual oil rate parameters corresponding to the sample aerosol device and the structural parameters of the oil storage cotton are obtained, a first parameter calculation model is obtained according to the linear relationship between the two parameters, which is used to determine the structural parameters of the oil storage cotton during the generation process of the aerosol generating device. That is, a calculation model is pre-calculated by the sample device, and the calculation model is put into use during the generation process to determine the structural parameters of the oil storage cotton, thereby avoiding the need to adjust the structural parameters of the oil storage cotton anyway and improving the production efficiency of the aerosol generating device. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0040] Figure 1 This is a flow chart of the oil storage cotton design method provided in one embodiment of the present application;

[0041] Figure 2 This is a flow chart of the oil storage cotton design method provided in one embodiment of the present application;

[0042] Figure 3 This is a schematic structural diagram of the oil storage cotton design device provided in an embodiment of the present application;

[0043] Figure 4 It is a structural diagram of the computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0045] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0046] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0047] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0048] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0049] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0050] It should be noted that the information (including but not limited to the target device information, target personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the target or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards of the relevant regions.

[0051] First, the oil storage cotton design method provided in the embodiment of the present application is described in detail. For schematic illustration, please refer to Figure 1, which shows a flow chart of an oil storage cotton design method provided by an exemplary embodiment of the present application, the method includes the following steps 110 to 120.

[0052] Step 110 , obtaining the residual oil rate parameters corresponding to the sample aerosol device, and obtaining the structural parameters corresponding to the oil storage cotton in the sample aerosol device.

[0053] The sample aerosol device stores an aerosol generating matrix, and the residual oil rate parameter represents the remaining amount of the aerosol generating matrix after the sample aerosol device is heated.

[0054] Schematically, a sample aerosol device is used to test a sample device.

[0055] Optionally, the sample aerosol device is an aerosol generating device that has been produced but not put into use; or, the sample aerosol device is an aerosol generating device that is in the production process; or, the sample aerosol device is an aerosol generating device that has been put into use. This embodiment of the present application is not limited to this.

[0056] Schematically, the sample aerosol device is equipped with an oil-storage cotton pad to store the aerosol-generating matrix, prevent leakage of the aerosol-generating matrix, and promptly replenish the aerosol-generating matrix to the atomizing core in the center hole of the sample aerosol device. In addition, the sample aerosol-generating device is also equipped with an oil-conducting cotton pad and a heating wire. During the heating process of the sample aerosol-generating device, the aerosol-generating matrix is introduced through the oil-storage cotton pad and infiltrates the oil-conducting cotton pad. After being heated, it is atomized into an aerosol. Here, an aerosol refers to solid or liquid particles suspended in a gas medium.

[0057] For illustration, based on the above structural description of the sample aerosol device, the residual oil rate refers to the amount of aerosol-forming substrate remaining in the oil-storage cotton after the heating process of the entire sample aerosol device has ceased or completed. In other words, a higher residual oil rate indicates a higher amount of aerosol-forming substrate remaining in the oil-storage cotton. Consequently, a lower atomization efficiency of the sample aerosol device indicates poorer quality. Conversely, a lower residual oil rate indicates better quality.

[0058] Schematically, the sample aerosol device is provided with oil storage cotton. The structural parameters corresponding to the oil storage cotton represent the structural characteristics of the oil storage cotton in the sample aerosol device. Different structural characteristics determine different residual oil rates of the oil storage cotton. Among them, the factors affecting the oil conduction of the oil storage cotton probably include the following: density, lateral oil conduction distance, matrix transfer path and arrangement direction of fibers in the oil storage cotton.

[0059] In an optional embodiment, the structural parameters include at least one of a density parameter, a length-width difference parameter, an edge-center distance parameter, or a height-to-base ratio parameter of the oil storage cotton.

[0060] Among them, the density parameter of the oil storage cotton refers to the mass of the oil storage cotton per unit volume. The density parameter corresponds to the density that affects the oil conduction ability of the oil storage cotton. The higher the density, the higher the oil conduction ability of the oil storage cotton. Therefore, the lower the residual oil rate of the aerosol generating equipment.

[0061] Among them, the length-width difference parameter of the oil storage cotton refers to the difference between the length and width of the oil storage cotton. The length-width difference parameter is used to determine the matrix transfer path of the oil storage cotton. The larger the length-width difference, the higher the oil conduction capacity of the oil storage cotton. Therefore, the lower the residual oil rate of the aerosol generating equipment.

[0062] Among them, a central hole is provided in the sample aerosol device as an air guide hole, which can guide the aerosol generated by the sample aerosol device for the user to inhale. The edge-to-center distance parameter of the oil storage cotton refers to the distance between the central hole in the sample aerosol device and the farthest edge of the sample aerosol device. The edge-to-center distance parameter is used to determine the lateral oil guide distance of the oil storage cotton. The larger the edge-to-center distance, the higher the oil guide capacity of the oil storage cotton. Therefore, the lower the residual oil rate of the aerosol generating device.

[0063] Among them, the height-to-bottom ratio parameter of the oil storage cotton refers to the ratio between the height and the bottom area of the oil storage cotton in the sample aerosol device. For example: when the inner compartment of the aerosol device A is a rectangular parallelepiped, the oil storage cotton can be stored in the inner compartment in the form of a rectangular parallelepiped. At this time, the height-to-bottom ratio parameter is the ratio between the length of the oil storage cotton in the form of a rectangular parallelepiped and the bottom area connected to the length; for another example: when the inner compartment of the aerosol device B is a cylinder, the oil storage cotton can be stored in the inner compartment in the form of a cylinder. At this time, the height-to-bottom ratio parameter is the ratio between the height of the oil storage cotton in the form of a cylinder and the circular area of the bottom surface. The height-to-bottom ratio parameter is used to determine the fiber arrangement direction of the oil storage cotton. The larger the height-to-bottom ratio, the higher the oil conduction capacity of the oil storage cotton. Therefore, the lower the residual oil rate of the aerosol generating device.

[0064] Optionally, the residual oil rate parameters corresponding to a single sample aerosol device and the structural parameters of the oil storage cotton are obtained; or, the residual oil rate parameters corresponding to multiple sample aerosol devices and the structural parameters corresponding to the oil storage cotton in multiple sample aerosol devices are obtained. This embodiment of the present application is not limited to this.

[0065] Among them, when obtaining the residual oil rate parameters corresponding to multiple sample aerosol devices and the structural parameters corresponding to the oil storage cotton in multiple special sample aerosol devices, different sample aerosol devices correspond to different device models. Therefore, the structural parameters of the oil storage cotton are different, and the residual oil rate parameters are also different.

[0066] Step 120 : obtaining a first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter.

[0067] The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

[0068] Schematically, a parameter calculation model is designed using the linear relationship between the structural parameters and the residual oil rate parameters. During the generation process of the aerosol generating device, the structural parameters of the storage cotton in the aerosol generating device are calculated by the parameter calculation model.

[0069] Optionally, the first parameter calculation model includes at least one of the following model types:

[0070] The first one is the Linear Estimation (LINSET) function, which performs linear regression analysis on a given set of data points to find the linear equation y = ax + b that best describes the relationship between these data points, where a represents the slope parameter, b represents the y-intercept parameter, x represents the independent variable parameter, and y represents the dependent variable parameter.

[0071] The second one, SLOPE function, is used to return the slope parameter of the linear regression line fitted according to the data points;

[0072] The third one, INTERCEPT function, is used to return the intersection of the linear regression line and the Y axis, that is, the intercept parameter;

[0073] The fourth method is to use the relevant functions in the programming language to calculate the first parameter calculation model. Taking Python language as an example, the numpy.polyfit() function is used for linear regression to return the coefficients of the linear equation (i.e., the slope parameter and the intercept parameter).

[0074] It is worth noting that the above-mentioned model type of the first parameter calculation model is only an illustrative example and is not limited to this in the embodiments of the present application.

[0075] Optionally, the method for determining the structural parameters of the oil storage cotton in the aerosol generating device includes at least one of the following two methods:

[0076] The first method is to set a reference residual oil rate corresponding to the aerosol generating device, input the reference residual oil rate into the first parameter calculation model, determine the calculation results of the structural parameters of the oil storage cotton, and design the structural characteristics of the oil storage cotton according to the calculation results;

[0077] The second method is to set the reference residual oil rate corresponding to the aerosol generating device and the initial structural parameters of the oil storage cotton in the initial state, input the initial structural parameters into the first parameter calculation model, and obtain the calculation result of the residual oil rate of the aerosol generating device under the initial parameter structure, compare it with the reference residual oil rate, and adjust the initial structural parameters.

[0078] It is worth noting that the above-mentioned structural parameters of the oil storage cotton in the aerosol generating device are only illustrative examples, and the embodiments of the present application are not limited to this.

[0079] The oil storage cotton design method provided in the embodiment of the present application obtains the residual oil rate parameters corresponding to the sample aerosol device and the structural parameters of the oil storage cotton, and obtains a first parameter calculation model based on the linear relationship between the two parameters, which is used to determine the structural parameters of the oil storage cotton during the generation process of the aerosol generating device. That is, a calculation model is pre-calculated by the sample device, and the calculation model is put into use during the generation process to determine the structural parameters of the oil storage cotton, thereby avoiding the need to adjust the structural parameters of the oil storage cotton anyway, and improving the production efficiency of the aerosol generating device.

[0080] In some embodiments, a method for obtaining the first parameter calculation model is described in detail. For example, please refer to Figure 2 , which shows a flow chart of an oil storage cotton design method provided by an exemplary embodiment of the present application, that is, step 120 also includes steps 121 and 122, such as Figure 2 As shown, the method also includes the following steps.

[0081] In step 121 , the residual oil rate parameter is used as the dependent variable parameter and the structural parameter is used as the independent variable parameter. The structural parameter and the residual oil rate parameter are substituted into the linear estimation model to obtain the regression parameter.

[0082] Schematically, the LINSET function is used as the linear estimation model, with the expression y=ax+b. The residual oil rate parameter of the sample aerosol device is used as the dependent variable parameter (expressed as y), the structural parameter is used as the independent variable parameter (expressed as x), a is used as the slope parameter, and b represents the intercept parameter. The residual oil rate parameter and the structural parameter are substituted into the LINSET function, and the values of a and b are calculated as regression parameters.

[0083] In some embodiments, the structural parameters include at least one of a density parameter, a length-width difference parameter, an edge-center distance parameter, or a height-to-base ratio parameter of the oil storage cotton.

[0084] In this embodiment, the structural design of the oil cotton includes parameters such as length, width, height and the position of the center hole (ie, located in the center or eccentric).

[0085] In this embodiment, the role of the oil storage cotton is to store the aerosol generating matrix, prevent the aerosol generating matrix from leaking, and be able to replenish the aerosol generating matrix into the atomizing core in the center hole in time. This requires that the oil storage cotton has a good oil-locking function and a good oil-conducting function. The oil-locking function is mainly related to density. Low density is prone to oil leakage, and high density is not easy to leak oil. Compared with the oil-locking function, the oil-conducting function is more complicated. The factors affecting the oil conduction of the oil storage cotton probably include the following: density, lateral oil-conducting distance, matrix transfer path and fiber arrangement direction. Combined with the structural design parameters of the oil storage cotton, the specific corresponding parameters are: density, maximum edge-center distance (the distance from the hole to the farthest edge), length-width difference and height / bottom ratio. Schematically, please refer to the following Table 1, which shows the influence of different structural parameters on the residual oil rate of the aerosol generating device.

[0086] Table 1

[0087]

[0088] In some embodiments, the structural parameters include n+1 first sub-parameters, and the first parameter calculation model includes n+1 first sub-models, where n is a positive integer; when other first sub-parameters except the n+1th first sub-parameter do not change, the residual oil rate parameter is used as the dependent variable parameter, and the n+1th structural parameter is used as the independent variable parameter, the n+1 first sub-parameters and the residual oil rate parameter are substituted into the linear estimation model to obtain the n+1th regression parameter.

[0089] In this embodiment, a case where the structural parameter includes a plurality of first sub-parameters is taken as an example, thereby obtaining different regression parameters when different first sub-parameters are used as independent variable parameters.

[0090] The first one is to obtain the first sub-model with the density parameter as the independent variable parameter.

[0091] In this embodiment, under the conditions that the length-width difference parameter, the edge-center distance parameter (taking the maximum edge-center distance as an example), the height-to-base ratio parameter of the oil storage cotton and the internal and external components and structure of the sample aerosol device remain unchanged, the LINEST function is used to simulate a polynomial through the density parameter and the residual oil rate curve. This polynomial is the first sub-model of the density parameter and the residual oil rate. Please refer to Formula 1.

[0092] Formula 1:

[0093] Y=3x10 8 X 6 –2x10 8 X 5 +4x10 7 X 4 –5x10 6 X 3 +275247X 2 -7861.1X+98.531

[0094] Among them, Y is the residual oil rate, X is the density, and 98.531 is the intercept.

[0095] The second method is to obtain the first sub-model using the length and width difference parameters as independent variable parameters.

[0096] In this embodiment, under the conditions that the density parameters, edge-to-center distance parameters (taking the maximum edge-to-center distance as an example), height-to-base ratio parameters of the oil storage cotton and the internal and external components and structures of the sample aerosol device remain unchanged, the LINEST function is used to simulate a polynomial through the length-width difference parameters and the residual oil rate curve. This polynomial is the first sub-model of the length-width difference parameters and the residual oil rate. Please refer to Formula 2.

[0097] Formula 2: Y=-2x10 -6 X 5 +0.0003X 4 -0.01X 3 +0.1572X 2 -0.8459X+18.109

[0098] Where Y is the residual oil rate, X is the length-width difference, and 18.109 is the intercept.

[0099] The third method is to obtain the first sub-model using the apicocenter distance parameter as the independent variable parameter.

[0100] In this embodiment, under the conditions that the density parameters, length-width difference parameters, height-to-base ratio parameters of the oil storage cotton and the internal and external components and structures of the sample aerosol device remain unchanged, the LINEST function is used to simulate a polynomial through the edge-to-center distance parameter and the residual oil rate curve. This polynomial is the first sub-model of the edge-to-center distance parameter and the residual oil rate. Please refer to Formula 3.

[0101] Formula 3:

[0102] Y = 7 × 10 -7 X 6 -8E-05X 5 +0.0031X 4 -0.0494X 3 +0.2466X 2 +1.0673X+8.2494

[0103] Among them, Y is the residual oil rate, X is the apothem, and 8.2494 is the intercept.

[0104] The fourth type is to obtain the first sub-model with the high-to-base ratio parameter as the independent variable parameter.

[0105] In this embodiment, under the conditions that the density parameters, length-width difference parameters, edge-to-center distance parameters (taking the maximum edge-to-center distance as an example) of the oil storage cotton and the internal and external components and structures of the sample aerosol device remain unchanged, the LINEST function is used to simulate a polynomial through the high-to-base ratio parameter and the residual oil rate curve. This polynomial is the first sub-model of the high-to-base ratio parameter and the residual oil rate. Please refer to Formula 4.

[0106] Formula 4: Y = 9214X 4 -7757.5X 3 +2269.3X 2 -284.51X+28.92

[0107] Among them, Y is the residual oil rate, X is the apothem, and 8.2494 is the intercept.

[0108] It can be seen from the above embodiment that different first sub-models are used to represent the linear relationship between different structural parameters and residual oil rate.

[0109] Step 122: Determine a first parameter calculation model based on the regression parameters.

[0110] Optionally, the regression parameter corresponding to the first parameter calculation model includes a slope parameter, or includes a slope parameter and an intercept parameter, which is not limited in the embodiment of the present application.

[0111] In some embodiments, the (n+1)th first sub-model is determined based on the (n+1)th regression parameter.

[0112] In this embodiment, different linear relationships exist between different structural parameters and residual oil rates, and thus different structural parameters correspond to different regression parameters. Therefore, the first sub-models corresponding to different structural parameters are determined by different regression parameters.

[0113] In some embodiments, a first reference residual oil rate corresponding to the aerosol generating device is obtained; the first reference residual oil rate is input into a first parameter calculation model, and a structural parameter result corresponding to the oil storage cotton in the aerosol generating device is output.

[0114] Schematically, during the production process, the first reference residual oil rate is the benchmark residual oil rate pre-set by the designer for the equipment model of the aerosol generating equipment, which can also be called the upper limit of the residual oil rate. The first reference residual oil rate is input into different first sub-models to obtain the calculation results of the structural parameters under different first sub-models. For example: sub-model 1 is obtained by the linear relationship between the density parameter and the residual oil rate, and sub-model 2 is obtained by the linear relationship between the edge-center distance parameter and the residual oil rate. The first reference residual oil rate is set for the aerosol generating equipment a, and the first reference residual oil rate is input into sub-model 1 and sub-model 2 respectively. The density value result is obtained through the output of sub-model 1, and the edge-center distance result is obtained through the output of sub-model 2. Therefore, the density value result and the edge-center distance result are used as the structural parameter results.

[0115] In some embodiments, a second reference residual oil rate corresponding to the aerosol generating device is obtained, and a first structural parameter corresponding to the oil storage cotton in the aerosol generating device is obtained; the first structural parameter is input into a first parameter calculation model, and the residual oil rate result corresponding to the aerosol generating device is output; based on the difference between the second reference residual oil rate and the residual oil rate result, the first structural parameter is adjusted to obtain the second structural parameter.

[0116] Illustratively, during production, the second reference residual oil rate is a baseline residual oil rate pre-set by the designer for the device model of the aerosol generating device, which can also be called the upper limit of the residual oil rate. The first structural parameter of the oil storage cotton of the aerosol generating device is the initial setting value for the oil storage cotton pre-set by the designer. The first structural parameter is input into the corresponding first parameter calculation model, and the residual oil rate result of the aerosol generating device under the oil storage cotton of the first structural parameter is output. Based on the difference between the residual oil rate result and the second reference residual oil rate, the first structural parameter is adjusted to obtain the second structural parameter, and the oil storage cotton is produced with the second structural parameter. For example, the second reference residual oil rate is set for aerosol generating device b, and the density parameter c is set. When the first sub-model A corresponding to the density parameter c is obtained, the density parameter c is substituted into the first sub-model A to calculate the residual oil rate result of the aerosol generating device under the oil storage cotton of the density parameter c. If the residual oil rate result is greater than the second reference residual oil rate, the density parameter c is increased to obtain the density parameter d, and the aerosol generating device is produced based on the density parameter d.

[0117] In some embodiments, the first structural parameter includes multiple second sub-parameters, and the first parameter calculation model includes multiple first sub-models; the multiple second sub-parameters are respectively input into the multiple first sub-models, and multiple residual oil rate sub-results are output; the average residual oil rate result corresponding to the multiple residual oil rate sub-results is used as the residual oil rate result.

[0118] In this embodiment, in a feasible case, when a first structural parameter is set for the aerosol generating device, by respectively bringing different first structural parameters into their corresponding first sub-models, the residual oil rate sub-results of the aerosol generating device under different first structural parameters are output, the average value results corresponding to multiple residual oil rate sub-results are calculated, and the average value result is compared with the second reference residual oil rate. If the average value result is greater than the second reference residual oil rate, the second sub-parameter corresponding to the oil storage cotton in the aerosol generating device is adjusted to obtain multiple third sub-parameters, and the aerosol generating device is produced based on the multiple third sub-parameters.

[0119] In some embodiments, the residual oil rate sub-result that meets the first condition among the plurality of residual oil rate sub-results is used as the residual oil rate result.

[0120] In this embodiment, in another feasible case, at least one of the largest residual oil rate sub-results among the multiple residual oil rate sub-results is compared with the second reference residual oil rate. If the at least one largest residual oil rate sub-result is greater than the second reference residual oil rate, the second sub-parameter corresponding to the at least one largest residual oil rate sub-result is adjusted to obtain at least one third sub-parameter, and the aerosol generating device is produced based on the at least one third sub-parameter and the multiple second sub-parameters.

[0121] The oil storage cotton design method provided in the embodiment of the present application obtains the residual oil rate parameters corresponding to the sample aerosol device and the structural parameters of the oil storage cotton, and obtains a first parameter calculation model based on the linear relationship between the two parameters, which is used to determine the structural parameters of the oil storage cotton during the generation process of the aerosol generating device. That is, a calculation model is pre-calculated by the sample device, and the calculation model is put into use during the generation process to determine the structural parameters of the oil storage cotton, thereby avoiding the need to adjust the structural parameters of the oil storage cotton anyway, and improving the production efficiency of the aerosol generating device.

[0122] For illustration, please refer to Figure 3 , which shows a schematic structural diagram of an oil storage cotton design device provided by an exemplary embodiment of the present application, wherein the oil storage cotton design device may specifically include the following modules:

[0123] An acquisition module 310 is configured to acquire a residual oil rate parameter corresponding to a sample aerosol device, and structural parameters corresponding to an oil storage cotton in the sample aerosol device, wherein the sample aerosol device stores an aerosol generating matrix. The residual oil rate parameter represents the remaining amount of the aerosol generating matrix after heating the sample aerosol device.

[0124] The model calculation module 320 is used to obtain a first parameter calculation model based on the linear relationship between the structural parameters and the residual oil rate parameters. The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

[0125] Optionally, the model calculation module 320 is further used to use the residual oil rate parameter as a dependent variable parameter and the structural parameter as an independent variable parameter, substitute the structural parameter and the residual oil rate parameter into a linear estimation model to obtain regression parameters; and determine the first parameter calculation model based on the regression parameters.

[0126] Optionally, the structural parameters include n+1 first sub-parameters, and the first parameter calculation model includes n+1 first sub-models, where n is a positive integer;

[0127] The model calculation module 320 is further configured to, when other first sub-parameters except the n+1th first sub-parameter remain unchanged, use the residual oil rate parameter as a dependent variable parameter and the n+1th structural parameter as an independent variable parameter, substitute the n+1th first sub-parameters and the residual oil rate parameter into a linear estimation model to obtain an n+1th regression parameter; and determine the n+1th first sub-model based on the n+1th regression parameter.

[0128] Optionally, the structural parameters include at least one of a density parameter, a length-width difference parameter, an edge-to-center distance parameter, or a height-to-base ratio parameter of the oil storage cotton.

[0129] Optionally, the model calculation module 320 is further used to obtain a first reference residual oil rate corresponding to the aerosol generating device; input the first reference residual oil rate into the first parameter calculation model, and output the structural parameter results corresponding to the oil storage cotton in the aerosol generating device.

[0130] Optionally, the model calculation module 320 is also used to obtain a second reference residual oil rate corresponding to the aerosol generating device, and to obtain a first structural parameter corresponding to the oil storage cotton in the aerosol generating device; the first structural parameter is input into the first parameter calculation model, and the residual oil rate result corresponding to the aerosol generating device is output; based on the difference between the second reference residual oil rate and the residual oil rate result, the first structural parameter is adjusted to obtain a second structural parameter.

[0131] Optionally, the first structural parameter includes a plurality of second sub-parameters, and the first parameter calculation model includes a plurality of first sub-models;

[0132] The model calculation module 320 is further configured to input the plurality of second sub-parameters into the plurality of first sub-models respectively, and output a plurality of residual oil rate sub-results; and use an average residual oil rate result corresponding to the plurality of residual oil rate sub-results as the residual oil rate result.

[0133] Optionally, the model calculation module 320 is further configured to use the residual oil rate sub-result that meets the first condition among the multiple residual oil rate sub-results as the residual oil rate result.

[0134] The oil storage cotton design device provided in the embodiment of the present application obtains the residual oil rate parameters corresponding to the sample aerosol device and the structural parameters of the oil storage cotton, and obtains a first parameter calculation model based on the linear relationship between the two parameters, which is used to determine the structural parameters of the oil storage cotton during the generation process of the aerosol generating device. That is, a calculation model is pre-calculated by the sample device, and the calculation model is put into use during the generation process to determine the structural parameters of the oil storage cotton, thereby avoiding the need to adjust the structural parameters of the oil storage cotton anyway, and improving the production efficiency of the aerosol generating device.

[0135] See also Figure 4 , shows a schematic diagram of the structure of the computer device provided in the embodiment of the present application. Figure 4 As shown, the computer device 1000 of this embodiment includes: at least one processor 1010 ( Figure 4 Only one is shown in the figure) a processor, a memory 1020, and a computer program 1021 stored in the memory 1020 and executable on at least one processor 1010. When the processor 1010 executes the computer program 1021, the steps in the above-mentioned oil storage cotton design method embodiment are implemented.

[0136] The computer device 1000 may be a desktop computer, a notebook computer, a PDA, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 1010 and a memory 1020. Those skilled in the art will appreciate that Figure 4 This is merely an example of the computer device 1000 and does not constitute a limitation on the computer device 1000 . The computer device 1000 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device 1000 may also include input and output devices, network access devices, etc.

[0137] The processor 1010 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0138] In some embodiments, the memory 1020 may be an internal storage unit of the computer device 1000, such as a hard disk or memory of the computer device 1000. In other embodiments, the memory 1020 may also be an external storage device of the computer device 1000, such as a plug-in hard disk equipped on the computer device 1000, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Furthermore, the memory 1020 may include both an internal storage unit of the computer device 1000 and an external storage device. The memory 1020 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of a computer program. The memory 1020 may also be used to temporarily store data that has been output or is about to be output.

[0139] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0140] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0141] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0142] In the embodiments provided in this application, it should be understood that the disclosed apparatus / computer equipment and methods can be implemented in other ways. For example, the apparatus / computer equipment embodiments described above are merely schematic. For example, the division of modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of the apparatus or unit, which can be electrical, mechanical or other forms.

[0143] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0144] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0145] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0146] The present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed through a computer program product. When the computer program product runs on a computer device, the computer device can implement the steps in the above-mentioned method embodiments when executing.

[0147] The above embodiments are intended only to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they may still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the spirit and scope of the technical solutions of the various embodiments of the present application and should be included within the scope of protection of the present application.

Claims

1. A method for designing oil storage cotton, characterized in that: The method comprises: Obtaining a residual oil rate parameter corresponding to a sample aerosol device and structural parameters corresponding to oil storage cotton in the sample aerosol device, wherein the sample aerosol device stores an aerosol generating matrix, and the residual oil rate parameter represents a remaining amount of the aerosol generating matrix after heating the sample aerosol device; A first parameter calculation model is obtained based on the linear relationship between the structural parameters and the residual oil rate parameters. The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

2. The method according to claim 1, characterized in that The first parameter calculation model is obtained based on the linear relationship between the structural parameter and the residual oil rate parameter, including: Taking the residual oil rate parameter as a dependent variable parameter and the structural parameter as an independent variable parameter, substituting the structural parameter and the residual oil rate parameter into a linear estimation model to obtain a regression parameter; The first parameter calculation model is determined based on the regression parameters.

3. The method according to claim 2, characterized in that The structural parameters include n+1 first sub-parameters, and the first parameter calculation model includes n+1 first sub-models, where n is a positive integer; The residual oil rate parameter is used as the dependent variable parameter, and the structural parameter is used as the independent variable parameter. The structural parameter and the residual oil rate parameter are substituted into the linear estimation model to obtain the regression parameters, including: When the other first sub-parameters except the n+1th first sub-parameter remain unchanged, the residual oil rate parameter is used as the dependent variable parameter and the n+1th structural parameter is used as the independent variable parameter, and the n+1th first sub-parameters and the residual oil rate parameter are substituted into the linear estimation model to obtain the n+1th regression parameter; The determining the first parameter calculation model based on the regression parameter includes: An n+1th first sub-model is determined based on the n+1th regression parameter.

4. The method according to any one of claims 1 to 3, characterized in that: The structural parameters include at least one of a density parameter, a length-width difference parameter, an edge-to-center distance parameter, or a height-to-base ratio parameter of the oil storage cotton.

5. The method according to any one of claims 1 to 4, characterized in that: After obtaining the first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter, the method further includes: Obtaining a first reference residual oil rate corresponding to the aerosol generating device; The first reference residual oil rate is input into the first parameter calculation model, and the structural parameter results corresponding to the oil storage cotton in the aerosol generating device are obtained as output.

6. The method according to any one of claims 1 to 4, characterized in that: After obtaining the first parameter calculation model based on the linear relationship between the structural parameter and the residual oil rate parameter, the method further includes: Obtaining a second reference residual oil rate corresponding to the aerosol generating device, and obtaining a first structural parameter corresponding to the oil storage cotton in the aerosol generating device; Inputting the first structural parameter into the first parameter calculation model, and outputting a residual oil rate result corresponding to the aerosol generating device; Based on the difference between the second reference residual oil rate and the residual oil rate result, the first structural parameter is adjusted to obtain a second structural parameter.

7. The method according to claim 6, characterized in that The first structural parameter includes a plurality of second sub-parameters, and the first parameter calculation model includes a plurality of first sub-models; The step of inputting the first structural parameter into the first parameter calculation model and outputting a residual oil rate result corresponding to the aerosol generating device includes: Inputting the plurality of second sub-parameters into the plurality of first sub-models respectively, and outputting a plurality of residual oil rate sub-results; The average residual oil rate result corresponding to the plurality of residual oil rate sub-results is used as the residual oil rate result.

8. The method according to claim 7, characterized in that The method further comprises: The residual oil rate sub-result that meets the first condition among the multiple residual oil rate sub-results is used as the residual oil rate result.

9. An oil storage cotton design device, characterized in that: The device comprises: an acquisition module, configured to acquire a residual oil rate parameter corresponding to a sample aerosol device, and structural parameters corresponding to an oil storage cotton in the sample aerosol device, wherein the sample aerosol device stores an aerosol generating matrix, and wherein the residual oil rate parameter represents a remaining amount of the aerosol generating matrix after heating the sample aerosol device; A model calculation module is used to obtain a first parameter calculation model based on the linear relationship between the structural parameters and the residual oil rate parameters. The first parameter calculation model is used to determine the structural parameters of the oil storage cotton in the aerosol generating device during the production process of the aerosol generating device.

10. A computer device, characterized in that: The computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the oil storage cotton design method according to any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the oil storage cotton design method according to any one of claims 1 to 8 is implemented.

12. A computer program product, characterized in that The invention comprises a computer program, which enables the oil storage cotton design method according to any one of claims 1 to 8 to be executed when the computer program is run.

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