WO2023072034A1 - 一种电子烟具的分段加热控温方法、装置及电子设备 - Google Patents

一种电子烟具的分段加热控温方法、装置及电子设备 Download PDF

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WO2023072034A1
WO2023072034A1 PCT/CN2022/127257 CN2022127257W WO2023072034A1 WO 2023072034 A1 WO2023072034 A1 WO 2023072034A1 CN 2022127257 W CN2022127257 W CN 2022127257W WO 2023072034 A1 WO2023072034 A1 WO 2023072034A1
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Prior art keywords
smoking
heating
temperature
cigarette
adjusted
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PCT/CN2022/127257
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English (en)
French (fr)
Inventor
吴聪
刘华臣
黄婷
谭健
唐良颖
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湖北中烟工业有限责任公司
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Publication of WO2023072034A1 publication Critical patent/WO2023072034A1/zh

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    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
    • A24F40/40—Constructional details, e.g. connection of cartridges and battery parts
    • A24F40/46—Shape or structure of electric heating means
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24D—CIGARS; CIGARETTES; TOBACCO SMOKE FILTERS; MOUTHPIECES FOR CIGARS OR CIGARETTES; MANUFACTURE OF TOBACCO SMOKE FILTERS OR MOUTHPIECES
    • A24D1/00—Cigars; Cigarettes
    • A24D1/20—Cigarettes specially adapted for simulated smoking devices
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
    • A24F40/20—Devices using solid inhalable precursors
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
    • A24F40/40—Constructional details, e.g. connection of cartridges and battery parts
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
    • A24F40/50—Control or monitoring
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F40/00—Electrically operated smoking devices; Component parts thereof; Manufacture thereof; Maintenance or testing thereof; Charging means specially adapted therefor
    • A24F40/50—Control or monitoring
    • A24F40/57—Temperature control
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24F—SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES
    • A24F47/00—Smokers' requisites not otherwise provided for

Definitions

  • the present application relates to the technical field of smoking appliance heating control, in particular, to a segmented heating temperature control method, device and electronic equipment for electronic smoking appliances.
  • the embodiments of the present application provide a method, device and electronic equipment for segmental heating and temperature control of an electronic cigarette appliance.
  • the embodiment of the present application provides a segmented heating and temperature control method for an electronic cigarette appliance, the method comprising:
  • Determining the initial heating temperature of the smoking article constructing a neural convolutional network model according to the initial heating temperature of the smoking article, to calculate the first temperature change curve of each of the cigarette heating sections under preset smoking conditions;
  • the initial heating temperature corresponding to each of the cigarette heating sections is respectively adjusted to obtain each adjusted heating temperature, so as to make the temperature of the second temperature change curve corresponding to each of the adjusted heating temperature
  • the ranges are all within the preset range.
  • said acquiring parameter information of smoking utensils, dividing at least two cigarette heating sections based on said smoking utensil parameter information includes:
  • the parameter information of the smoking appliance includes the depth of the cigarette stick insertion groove and the radius of the cigarette stick insertion groove;
  • the initial heating temperature corresponding to each of the cigarette heating sections is respectively adjusted based on the first temperature change curve to obtain each adjusted heating temperature, so as to make the second heating temperature corresponding to each adjusted heating temperature
  • the temperature range of the temperature change curve is within the preset range, including:
  • the method also includes:
  • the internal heating temperature of the smoking appliance is regulated based on each of the adjusted heating temperatures.
  • the method also includes:
  • the user smoking habit data includes pumping interval, single gas puff volume;
  • the method also includes:
  • each of the adjusted heating temperatures is dynamically adjusted based on each of the smoking nodes in the user's whole smoking habit curve.
  • the method also includes:
  • each of the adjusted heating temperatures is dynamically adjusted based on each of the smoking nodes in the standard full-range smoking habit curve.
  • the embodiment of the present application provides a segmented heating and temperature control device for an electronic cigarette appliance, the device comprising:
  • An acquisition module configured to acquire parameter information of the smoking set, and divide at least two cigarette heating sections based on the parameter information of the smoking set;
  • a determining module configured to determine the initial heating temperature of the smoking appliance, construct a neural convolutional network model according to the initial heating temperature of the smoking appliance, and calculate the first temperature change curve of each heating segment of the cigarette under preset smoking conditions;
  • An adjustment module configured to adjust the initial heating temperature corresponding to each of the cigarette heating sections based on the first temperature change curve to obtain each adjusted heating temperature, so as to make the second heating temperature corresponding to each adjusted heating temperature
  • the temperature ranges of the temperature change curves are all within a preset range.
  • an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the first method when executing the computer program. Aspect or the steps of the method provided by any possible implementation of the first aspect.
  • the embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it can realize any possible implementation of the first aspect or the first aspect method provided.
  • the beneficial effects of the present invention are as follows: the inside of the smoking set is divided into several cigarette heating sections, and by simulating and adjusting the temperature change of each cigarette heating section during the smoking process of the smoking set under certain smoking conditions, different cigarettes
  • the branch heating section has different heating temperatures, which ensures that the temperature corresponding to the smoke that is finally drawn out is relatively balanced, avoiding the burning of the user's mouth when smoking, and can continuously replace each cigarette according to the user's smoking habits
  • the heating process of the heating section improves the smoking experience of the user.
  • Fig. 1 is a schematic flowchart of a segmented heating and temperature control method for an electronic cigarette provided by an embodiment of the present application;
  • Fig. 2 is a schematic structural diagram of a segmented heating and temperature control device for an electronic cigarette provided by an embodiment of the present application;
  • FIG. 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Fig. 1 is a schematic flowchart of a segmented heating and temperature control method for an electronic cigarette provided by an embodiment of the present application.
  • the method includes:
  • the subject of execution of the present application may be a controller in a heat-not-burn smoking appliance.
  • the specific use method of the heat-not-burn smoking appliance is to insert the heat-not-burn cigarette into the corresponding heat-not-burn smoking appliance, heat the cigarette through the heat-not-burn smoking appliance, and then generate smoke and be released by the user suction. Due to the different models of different smoking sets, the corresponding parameters of smoking sets will be different. Branch lengths vary. In this application, in order to ensure that the smoke that is finally sucked out from each part of the smoking appliance will not burn the mouth, the inserted part of the cigarette will be segmented for segmental heating. Therefore, firstly, the parameter information of the smoking appliance will be obtained, and the number of cigarette heating segments to be divided is determined according to the parameter information of the smoking appliance.
  • the acquiring parameter information of the smoking appliance, and dividing at least two cigarette heating sections based on the parameter information of the smoking appliance include:
  • the parameter information of the smoking appliance includes the depth of the cigarette stick insertion groove and the radius of the cigarette stick insertion groove;
  • the controller will be able to obtain the depth of the cigarette insertion groove and the radius of the cigarette insertion groove through the parameter information of the smoking appliance.
  • the segment distance should not be too long, and the radius of the cigarette insertion groove The larger the , the higher the temperature required to heat to the inside of the cigarette, which will also affect the temperature at the intersection of adjacent heating segments. Therefore, it will be necessary to determine a more suitable ideal heating interval according to the depth of the cigarette insertion groove and the radius of the cigarette insertion groove, and divide the cigarette heating section accordingly.
  • S102 Determine the initial heating temperature of the smoking article, and construct a neural convolutional network model according to the initial heating temperature of the smoking article, to calculate the first temperature change curve of each heating section of the cigarette under preset smoking conditions.
  • the puffing conditions can be understood as the simulated environmental conditions when the smoking appliance is puffed, such as puffing intensity, puffing interval, and the like.
  • the heating temperature of each part of the traditional smoking device is the same, the controller will determine the initial heating temperature of the smoking device, that is, the default heating temperature, and obtain a training model to use the initial heating temperature of the smoking device to Smoking appliances undergo simulated heating training, and then construct a neural convolutional network model suitable for the smoking appliance.
  • the specific construction and generation process is common knowledge that can be easily imagined by those skilled in the art, and the model construction process is not the focus of this application, so Not detailed here.
  • the constructed neural convolutional network model it is possible to determine the number of divided cigarettes when uniformly heated internally at the initial heating temperature of the smoking appliance under the preset smoking conditions (that is, under the determined puffing time interval and puffing intensity). The first temperature change curve of the heating section during this heating process.
  • the temperature threshold range of each cigarette heating section in order not to burn the mouth and ensure the puff taste, the final puff should be ensured.
  • the temperature of the inhaled smoke should not be too high or too low, that is, during the whole smoking process, the temperature change of each cigarette heating section should be within a preset range. Therefore, the heating temperature of each cigarette heating section will be adjusted respectively according to the first temperature variation curve corresponding to each cigarette heating section, and finally the temperature corresponding to the second temperature variation curve whose temperature range is within the preset range is obtained. Adjust the heating temperature.
  • the initial heating temperature corresponding to each of the cigarette heating sections is respectively adjusted based on the first temperature change curve to obtain each adjusted heating temperature, so as to make each of the adjusted heating
  • the temperature range of the second temperature change curve corresponding to the temperature is within a preset range, including:
  • the initial heating temperature is adjusted according to the first temperature change curve, and then after the adjusted heating temperature is obtained, the simulated calculation will be performed in the neural convolutional network model based on the adjusted heating temperature, so as to determine the generated first Second, whether the temperature change curve is completely within the preset range.
  • the adjusted heating temperature will be adjusted again based on the results of the second temperature change curve, and the process of simulating in the model will be repeated until the condition is met Adjust the heating temperature.
  • the method also includes:
  • the internal heating temperature of the smoking appliance is regulated based on each of the adjusted heating temperatures.
  • the adjusted heating temperature after calculating the adjusted heating temperature suitable for the smoking appliance, the adjusted heating temperature will be recorded when the smoking appliance is turned off, so that the smoking appliance can be directly heated based on each adjusted heating temperature when the smoking appliance is started again
  • the temperature regulation does not need to be calculated according to the neural convolutional network model every time, which ensures the smoking efficiency of the smoking appliance.
  • the method also includes:
  • the user smoking habit data includes pumping interval, single gas puff volume;
  • the aforementioned process is the heating temperature adjusted under the preset pumping conditions, that is, the average pumping interval and the average pumping volume set according to a large number of user data.
  • the preset pumping conditions that is, the average pumping interval and the average pumping volume set according to a large number of user data.
  • their smoking habits are different, and different smoking habits will affect the air flow inside the smoking appliance and the heat accumulation time, which may lead to inaccurate calculation of the adjusted heating temperature , there may still be scalding of the mouth. Therefore, when the user is actually pumping, the user's smoking habit data will be collected, and the simulation process of the neural convolutional network model will be optimized based on the user's actual smoking habit data, so as to recalculate the adjustment of the heating temperature. It is ensured that the final adjusted heating temperature can best suit the user.
  • the method also includes:
  • each of the adjusted heating temperatures is dynamically adjusted based on each of the smoking nodes in the user's whole smoking habit curve.
  • the user's smoking habit data will be continuously collected to generate a habit curve of the user's entire smoking process.
  • the habit curve can accurately characterize the dynamic change of the user's smoking habit during the whole smoking process, and then when the smoking appliance is started next time, based on the smoking nodes in the habit curve, the relationship between each smoking node can be determined. Data such as time interval and changes in suction force can be used to dynamically adjust the heating temperature to further adapt to the user's suction situation.
  • the method also includes:
  • each of the adjusted heating temperatures is dynamically adjusted based on each of the smoking nodes in the standard full-range smoking habit curve.
  • a user's whole smoking habit curve will be generated, and the controller will integrate and adjust the curve according to at least three user's whole smoking habit curves, excluding According to the error, the standard full-range smoking habit curve is obtained, and the heating temperature is adjusted based on the standard full-time smoking habit curve in the follow-up process.
  • segmental heating and temperature control device for the electronic cigarette provided by the embodiment of the present application will be described in detail below with reference to FIG. 2 .
  • the segmented heating and temperature control device of the electronic cigarette set shown in Figure 2 is used to implement the method of the embodiment shown in Figure 1 of the present application, and for the sake of illustration, only the relevant parts of the embodiment of the present application are shown. For the part, the specific technical details are not disclosed, please refer to the embodiment shown in FIG. 1 of the present application.
  • FIG. 2 is a schematic structural diagram of a segmented heating and temperature control device for an electronic cigarette provided by an embodiment of the present application. As shown in Figure 2, the device includes:
  • An acquisition module 201 configured to acquire parameter information of the smoking appliance, and divide at least two cigarette heating sections based on the parameter information of the smoking appliance;
  • the determining module 202 is used to determine the initial heating temperature of the smoking appliance, construct a neural convolution network model according to the initial heating temperature of the smoking appliance, and calculate the first temperature change curve of each heating section of the cigarette under preset smoking conditions;
  • the adjustment module 203 is configured to adjust the initial heating temperature corresponding to each of the cigarette heating sections respectively based on the first temperature change curve to obtain each adjusted heating temperature, so as to make the first heating temperature corresponding to each adjusted heating temperature
  • the temperature ranges of the two temperature change curves are all within a preset range.
  • the obtaining module 201 includes:
  • An acquisition unit configured to acquire parameter information of the smoking appliance, the parameter information of the smoking appliance includes the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
  • An ideal heating spacing determination unit configured to determine the ideal heating spacing based on the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
  • the heating section dividing unit is used to divide at least two cigarette heating sections according to the ideal heating interval.
  • the adjustment module 203 includes:
  • a first adjustment unit configured to adjust the initial heating temperature corresponding to each of the cigarette heating sections respectively based on the first temperature change curve, to obtain each adjusted heating temperature
  • An import unit configured to import each of the adjusted heating temperatures into the neural convolutional network model, and calculate the second temperature change curve of each of the cigarette heating sections under preset smoking conditions;
  • the second adjustment unit is configured to separately adjust the adjustment corresponding to each of the cigarette heating sections based on the second temperature change curve when the temperature range of the second temperature change curve is not completely within a preset range heating temperature, and repeating the step of importing each of the adjusted heating temperatures into the neural convolutional network model until the temperature range of the second temperature change curve is within a preset range.
  • the device also includes:
  • a recording module configured to record each of the adjusted heating temperatures when it is detected that the smoking appliance is closed
  • the starting module is configured to adjust the internal heating temperature of the smoking appliance based on each of the adjusted heating temperatures when the smoking appliance is started again.
  • the device also includes:
  • a collection module configured to collect data on the user's smoking habit, the data on the user's smoking habit includes puffing intervals and a single gas puff volume;
  • An optimization module configured to optimize the neural convolutional network model based on the user's smoking habit data, and recalculate to obtain each of the adjusted heating temperatures.
  • the device also includes:
  • a continuous collection module configured to continuously collect the user's smoking habit data, and generate a user's full-time smoking habit curve
  • the first dynamic adjustment module is configured to dynamically adjust each of the adjusted heating temperatures based on each of the smoking nodes in the user's whole smoking habit curve when the smoking appliance is started next time.
  • the device also includes:
  • An integration module configured to integrate the whole-course smoking habit curves of each user after generating at least three of the user's full-course smoking habit curves, to generate a standard full-course smoking habit curve;
  • the second dynamic adjustment module is configured to dynamically adjust each of the adjusted heating temperatures based on each of the smoking nodes in the standard full-range smoking habit curve when the smoking appliance is started next time.
  • Each processing unit and/or module in the embodiment of the present application may be implemented by an analog circuit for realizing the functions described in the embodiments of the present application, or may be realized by software for performing the functions described in the embodiments of the present application.
  • the electronic device 300 may include: at least one central processing unit 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .
  • the communication bus 302 is used to realize connection and communication between these components.
  • the user interface 303 may include a display screen (Display) and a camera (Camera), and the optional user interface 303 may also include a standard wired interface and a wireless interface.
  • Display display screen
  • Camera Camera
  • the optional user interface 303 may also include a standard wired interface and a wireless interface.
  • the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the central processing unit 301 may include one or more processing cores.
  • the central processing unit 301 uses various interfaces and lines to connect various parts of the entire electronic device 300, by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305, Various functions of the terminal 300 are executed and data is processed.
  • the central processing unit 301 can adopt at least one of digital signal processing (Digital Signal Processing, DSP), field-programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA) implemented in the form of hardware.
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PLA programmable logic array
  • the central processing unit 301 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), an image central processing unit (Graphics Processing Unit, GPU) and a modem.
  • a central processing unit Central Processing Unit, CPU
  • an image central processing unit Graphics Processing Unit, GPU
  • a modem used to handle wireless communication.
  • the above-mentioned modem may not be integrated into the central processing unit 301, but may be realized by a single chip.
  • the memory 305 may include a random access memory (Random Access Memory, RAM), and may also include a read-only memory (Read-Only Memory).
  • the memory 305 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, codes, sets of codes, or sets of instructions.
  • the memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), Instructions and the like for implementing the above method embodiments; the storage data area can store the data and the like involved in the above method embodiments.
  • the memory 305 may also be at least one storage device located away from the aforementioned central processing unit 301 .
  • the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.
  • the user interface 303 is mainly used to provide the user with an input interface to obtain the data input by the user; and the central processing unit 301 can be used to call the segmented heating of the electronic cigarette stored in the memory 305 temperature control application, and specifically perform the following operations:
  • Determining the initial heating temperature of the smoking article constructing a neural convolutional network model according to the initial heating temperature of the smoking article, to calculate the first temperature change curve of each of the cigarette heating sections under preset smoking conditions;
  • the initial heating temperature corresponding to each of the cigarette heating sections is respectively adjusted to obtain each adjusted heating temperature, so as to make the temperature of the second temperature change curve corresponding to each of the adjusted heating temperature
  • the ranges are all within the preset range.
  • the present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are realized.
  • the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disk, optical disk, DVD, CD-ROM, microdrive, and magneto-optical disk, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory device , magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and/or data.
  • the disclosed device can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some service interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.
  • the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable memory.
  • the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory.
  • a computer device which may be a personal computer, server or network device, etc.
  • the aforementioned memory includes: U disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
  • the program can be stored in a computer-readable memory, and the memory can include: flash memory disk, read-only memory (Read-Only Memory, ROM), random access device (Random Access Memory, RAM), magnetic disk or optical disk, etc.

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Abstract

一种电子烟具的分段加热控温方法、装置及电子设备，包括获取烟具参数信息，基于烟具参数信息划分至少两个烟支加热段（S101）；确定烟具初始加热温度，根据烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各烟支加热段的第一温度变化曲线(S102)；基于第一温度变化曲线分别调整各烟支加热段所对应的初始加热温度，得到各调整加热温度，用以使各调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内(S103)。将烟具内部划分成若干烟支加热段，通过对一定抽吸条件下的烟具抽吸过程中的各个烟支加热段的温度变化进行模拟和调整，保证了最终被抽吸出来的烟气对应的温度相对均衡，避免了用户抽吸时烫嘴的情况发生。

Description

一种电子烟具的分段加热控温方法、装置及电子设备
本申请要求于2021年10月26日提交中国专利局、申请号为202111244660.0、发明名称为“一种电子烟具的分段加热控温方法、装置及电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及烟具加热控制技术领域，具体而言，涉及一种电子烟具的分段加热控温方法、装置及电子设备。
背景技术
低温卷烟产品的出现，通过加热不燃烧的方式改变了传统卷烟燃烧采取可见烟雾的形式，整体大幅降低焦油和有害成分的释放量，且对环境和周边他人的危害小。目前，加热不燃烧卷烟烟具通过周向加热的方式对烟支进行加热，或利用中心加热元件将烟支插入以达到加热的目的，与传统卷烟的点燃加热方式相比，上述无论哪种加热过程均是在烟具的内部进行均匀加热，空气流通性较差，烟具内部的烟气会在加热过程中不断积累热量，且烟气在被抽吸时会将靠内部的温度带到靠外部的位置，进一步提升了靠外部位置的温度，最终可能会在用户抽吸时烫嘴，影响用户的正常吸烟体验。
发明内容
为了解决上述问题，本申请实施例提供了一种电子烟具的分段加热控温方法、装置及电子设备。
第一方面，本申请实施例提供了一种电子烟具的分段加热控温方法，所述方法包括：
获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的 第二温度变化曲线的温度范围均处于预设范围内。
优选的，所述获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段，包括：
获取烟具参数信息，所述烟具参数信息包括烟支插入槽深度、烟支插入槽半径；
基于所述烟支插入槽深度、烟支插入槽半径确定理想加热间距；
根据所述理想加热间距划分至少两个烟支加热段。
优选的，所述基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内，包括：
基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度；
将各所述调整加热温度导入至所述神经卷积网络模型，计算预设抽吸条件下各所述烟支加热段的第二温度变化曲线；
当所述第二温度变化曲线的温度范围不完全处于预设范围内时，基于所述第二温度变化曲线分别调整各所述烟支加热段所对应的所述调整加热温度，并重复所述将各所述调整加热温度导入至所述神经卷积网络模型的步骤，直至所述第二温度变化曲线的温度范围均处于预设范围内。
优选的，所述方法还包括：
检测到烟具关闭时，记录各所述调整加热温度；
当所述烟具再次启动时，基于各所述调整加热温度调控所述烟具内部加热温度。
优选的，所述方法还包括：
收集用户抽吸习惯数据，所述用户抽吸习惯数据包括抽吸间隔、单次气体抽吸量；
基于所述用户抽吸习惯数据优化所述神经卷积网络模型，并重新计算得到各所述调整加热温度。
优选的，所述方法还包括：
持续收集所述用户抽吸习惯数据，生成用户全程抽吸习惯曲线；
在下一次启动烟具时，基于所述用户全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
优选的，所述方法还包括：
在至少生成有三个所述用户全程抽吸习惯曲线后，整合各所述用户全程抽吸习惯曲线，生成标准全程抽吸习惯曲线；
在下一次启动烟具时，基于所述标准全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
第二方面，本申请实施例提供了一种电子烟具的分段加热控温装置，所述装置包括：
获取模块，用于获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
确定模块，用于确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
调整模块，用于基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
第三方面，本申请实施例提供了一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如第一方面或第一方面的任意一种可能的实现方式提供的方法的步骤。
第四方面，本申请实施例提供了一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现如第一方面或第一方面的任意一种可能的实现方式提供的方法。
本发明的有益效果为：将烟具内部划分成若干烟支加热段，通过对一定抽吸条件下的烟具抽吸过程中的各个烟支加热段的温度变化进行模拟和调整，进而使得不同的烟支加热段具有不同的加热温度，保证了最终被抽吸出来的烟气对应的温度相对均衡，避免了用户抽吸时烫嘴的情况发生，且能够根据用户的抽吸习惯不断的各烟支加热段的加热过程，提高用户的 烟具抽吸体验。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例中所需使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请实施例提供的一种电子烟具的分段加热控温方法的流程示意图；
图2为本申请实施例提供的一种电子烟具的分段加热控温装置的结构示意图；
图3为本申请实施例提供的一种电子设备的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。
在下述介绍中，术语“第一”、“第二”仅为用于描述的目的，而不能理解为指示或暗示相对重要性。下述介绍提供了本申请的多个实施例，不同实施例之间可以替换或者合并组合，因此本申请也可认为包含所记载的相同和/或不同实施例的所有可能组合。因而，如果一个实施例包含特征A、B、C，另一个实施例包含特征B、D，那么本申请也应视为包括含有A、B、C、D的一个或多个所有其他可能的组合的实施例，尽管该实施例可能并未在以下内容中有明确的文字记载。
下面的描述提供了示例，并且不对权利要求书中阐述的范围、适用性或示例进行限制。可以在不脱离本申请内容的范围的情况下，对描述的元素的功能和布置做出改变。各个示例可以适当省略、替代或添加各种过程或组件。例如所描述的方法可以以所描述的顺序不同的顺序来执行，并且可以添加、省略或组合各种步骤。此外，可以将关于一些示例描述的特征组合到其他示例中。
参见图1，图1是本申请实施例提供的一种电子烟具的分段加热控温 方法的流程示意图。在本申请实施例中，所述方法包括：
S101、获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段。
本申请的执行主体可以是加热不燃烧烟具内的控制器。
在本申请实施例中，加热不燃烧烟具的具体使用方式是将加热不燃烧烟支插入对应的加热不燃烧烟具内，在通过加热不燃烧烟具对烟支进行加热，进而产生烟气并被用户抽吸。不同的烟具由于其型号的不同，对应的烟具参数信息将不同，也就是说，不同型号的烟具其烟支插入深度、对应的能够插入的烟支大小均不同，进而使得烟具实际进行加热的烟支段长度不同。由于本申请为了保证最终从烟具内各个部分被抽吸出去的烟气均不会烫嘴，故将对烟支内插入部分进行分段，来分段加热。因此，首先将获取烟具参数信息，并根据烟具参数信息来确定需要划分的烟支加热段个数。
在一种可实施方式中，所述获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段，包括：
获取烟具参数信息，所述烟具参数信息包括烟支插入槽深度、烟支插入槽半径；
基于所述烟支插入槽深度、烟支插入槽半径确定理想加热间距；
根据所述理想加热间距划分至少两个烟支加热段。
在本申请实施例中，控制器通过烟具参数信息，将能够得到烟支插入槽深度和烟支插入槽半径，为了保证分段加热的效果，分段距离不宜过长，且烟支插入槽半径越大，想要加热至烟支内部所需要的温度就越高，这也会影响相邻加热段的交汇处的温度。因此，将需要根据烟支插入槽深度、烟支插入槽半径来确定较为合适的理想加热间距，并以此来划分烟支加热段。
S102、确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线。
所述抽吸条件在本申请实施例中可以理解为模拟的烟具抽吸时的环境条件，例如抽吸强度、抽吸间隔等。
在本申请实施例中，传统的烟具其内部各个部分的加热温度是相同的，控制器将会确定烟具的初始加热温度，即默认的加热温度，并获取训练模型来通过该烟具初始加热温度对烟具进行模拟加热训练，进而构建得到适用于该烟具的神经卷积网络模型，具体的构建生成过程为本领域技术人员可以很容易想到的公知常识，且该模型构建过程并非本申请的重点，故在此不详述。通过构建出来的神经卷积网络模型，便能够确定以预设抽吸条件(即确定的抽吸时间间隔和抽吸强度下)在内部以烟具初始加热温度进行均匀加热时，划分的各个烟支加热段在这一加热过程中的第一温度变化曲线。
S103、基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
在本申请实施例中，通过第一温度变化曲线，能够得知在初始加热温度的均衡加热下，各个烟支加热段的温度阈值范围，为了不烫嘴并且保证抽吸口感，应保证最终抽吸出来的烟气的温度不应该过高，也不应该过低，即整个抽吸过程中，各个烟支加热段的温度变化应该预设范围内。因此，将根据每个烟支加热段所对应的第一温度变化曲线来分别调整每个烟支加热段的加热温度，并最终得到温度范围均处于预设范围内的第二温度变化曲线所对应的调整加热温度。通过保持各个烟支加热段的调整加热温度，便能够保证用户整个抽吸过程中的抽吸体验，不会出现烫嘴的情况，且这样的调整过程相对简单，在不同的烟具中均能够使用。
在一种可实施方式中，所述基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内，包括：
基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度；
将各所述调整加热温度导入至所述神经卷积网络模型，计算预设抽吸条件下各所述烟支加热段的第二温度变化曲线；
当所述第二温度变化曲线的温度范围不完全处于预设范围内时，基于所述第二温度变化曲线分别调整各所述烟支加热段所对应的所述调整加热温度，并重复所述将各所述调整加热温度导入至所述神经卷积网络模型的步骤，直至所述第二温度变化曲线的温度范围均处于预设范围内。
在本申请实施例中，根据第一温度变化曲线对初始加热温度进行调整，进而得到调整加热温度后，会基于调整加热温度来在神经卷积网络模型中进行模拟计算，以此确定生成的第二温度变化曲线是否完全处于预设范围内。当生成的第二温度变化曲线不完全处于预设范围内时，将会基于第二温度变化曲线的结果来再次对调整加热温度进行调整，并重复在模型中模拟仿真的过程，直到得到符合条件的调整加热温度。
在一种可实施方式中，所述方法还包括：
检测到烟具关闭时，记录各所述调整加热温度；
当所述烟具再次启动时，基于各所述调整加热温度调控所述烟具内部加热温度。
在本申请实施例中，计算出适配于该烟具的调整加热温度后，会在烟具关闭时对该调整加热温度进行记录，以便在烟具再次启动时能够基于各个调整加热温度直接对烟具进行加热温度的调控，不需要每次都根据神经卷积网络模型进行计算，保证了烟具的抽吸效率。
在一种可实施方式中，所述方法还包括：
收集用户抽吸习惯数据，所述用户抽吸习惯数据包括抽吸间隔、单次气体抽吸量；
基于所述用户抽吸习惯数据优化所述神经卷积网络模型，并重新计算得到各所述调整加热温度。
在本申请实施例中，前述过程是在预设的抽吸条件下，即根据大量用户数据所设置的平均抽吸间隔、平均抽吸量所调整出来的加热温度。然而，对个每个用户个体而言，其抽吸习惯是不同的，而不同的抽吸习惯，将影响烟具内部的空气流动量、热量积累时间，进而导致计算得到调整加热温度可能并不准确，仍然可能会出现烫嘴的情况。故还将在用户进行实际抽吸时，收集用户的抽吸习惯数据，基于用户实际的抽吸习惯数据来对神经 卷积网络模型的仿真过程进行优化，以此重新对调整加热温度进行计算，保证最终得到的调整加热温度能够最适配该用户。
在一种可实施方式中，所述方法还包括：
持续收集所述用户抽吸习惯数据，生成用户全程抽吸习惯曲线；
在下一次启动烟具时，基于所述用户全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
在本申请实施例中，用户的实际抽烟过程中，不可能完全的按照恒定的间隔和力度进行抽吸，且可能会具有个人习惯，例如抽吸两口后，品味一下再继续抽吸，因此仅根据用户抽吸习惯数据仍然可能无法调整出最适合的加热温度。故将持续对用户抽吸习惯数据进行采集，并以此生成用户整个抽吸过程的习惯曲线。通过该习惯曲线便能够准确的表征出用户在整个抽吸过程中，抽吸习惯的动态变化，进而在下一次烟具启动时，基于该习惯曲线中的抽吸节点来确定各个抽吸节点之间的时间间隔、抽吸力度变化等数据，进而以此来对调整加热温度动态调整，进一步适配用户的抽吸情况。
在一种可实施方式中，所述方法还包括：
在至少生成有三个所述用户全程抽吸习惯曲线后，整合各所述用户全程抽吸习惯曲线，生成标准全程抽吸习惯曲线；
在下一次启动烟具时，基于所述标准全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
在本申请实施例中，用户每进行一次完整的抽烟过程，便将会生成有一个用户全程抽吸习惯曲线，控制器将根据至少三个用户全程抽吸习惯曲线来对曲线进行整合调整，排除误差，得到标准全程抽吸习惯曲线，并在后续过程中基于该标准全程抽吸习惯曲线来进行调整加热温度的调整。
下面将结合附图2，对本申请实施例提供的电子烟具的分段加热控温装置进行详细介绍。需要说明的是，附图2所示的电子烟具的分段加热控温装置，用于执行本申请图1所示实施例的方法，为了便于说明，仅示出了与本申请实施例相关的部分，具体技术细节未揭示的，请参照本申请图1所示的实施例。
请参见图2，图2是本申请实施例提供的一种电子烟具的分段加热控温装置的结构示意图。如图2所示，所述装置包括：
获取模块201，用于获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
确定模块202，用于确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
调整模块203，用于基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
在一种可实施方式中，获取模块201包括：
获取单元，用于获取烟具参数信息，所述烟具参数信息包括烟支插入槽深度、烟支插入槽半径；
理想加热间距确定单元，用于基于所述烟支插入槽深度、烟支插入槽半径确定理想加热间距；
加热段划分单元，用于根据所述理想加热间距划分至少两个烟支加热段。
在一种可实施方式中，调整模块203包括：
第一调整单元，用于基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度；
导入单元，用于将各所述调整加热温度导入至所述神经卷积网络模型，计算预设抽吸条件下各所述烟支加热段的第二温度变化曲线；
第二调整单元，用于当所述第二温度变化曲线的温度范围不完全处于预设范围内时，基于所述第二温度变化曲线分别调整各所述烟支加热段所对应的所述调整加热温度，并重复所述将各所述调整加热温度导入至所述神经卷积网络模型的步骤，直至所述第二温度变化曲线的温度范围均处于预设范围内。
在一种可实施方式中，所述装置还包括：
记录模块，用于检测到烟具关闭时，记录各所述调整加热温度；
启动模块，用于当所述烟具再次启动时，基于各所述调整加热温度调控所述烟具内部加热温度。
在一种可实施方式中，所述装置还包括：
收集模块，用于收集用户抽吸习惯数据，所述用户抽吸习惯数据包括抽吸间隔、单次气体抽吸量；
优化模块，用于基于所述用户抽吸习惯数据优化所述神经卷积网络模型，并重新计算得到各所述调整加热温度。
在一种可实施方式中，所述装置还包括：
持续收集模块，用于持续收集所述用户抽吸习惯数据，生成用户全程抽吸习惯曲线；
第一动态调整模块，用于在下一次启动烟具时，基于所述用户全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
在一种可实施方式中，所述装置还包括：
整合模块，用于在至少生成有三个所述用户全程抽吸习惯曲线后，整合各所述用户全程抽吸习惯曲线，生成标准全程抽吸习惯曲线；
第二动态调整模块，用于在下一次启动烟具时，基于所述标准全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
本领域的技术人员可以清楚地了解到本申请实施例的技术方案可借助软件和/或硬件来实现。本说明书中的“单元”和“模块”是指能够独立完成或与其他部件配合完成特定功能的软件和/或硬件，其中硬件例如可以是现场可编程门阵列(Field－ProgrammableGate Array，FPGA)、集成电路(Integrated Circuit，IC)等。
本申请实施例的各处理单元和/或模块，可通过实现本申请实施例所述的功能的模拟电路而实现，也可以通过执行本申请实施例所述的功能的软件而实现。
参见图3，其示出了本申请实施例所涉及的一种电子设备的结构示意图，该电子设备可以用于实施图1所示实施例中的方法。如图3所示，电子设备300可以包括：至少一个中央处理器301，至少一个网络接口304，用户接口303，存储器305，至少一个通信总线302。
其中，通信总线302用于实现这些组件之间的连接通信。
其中，用户接口303可以包括显示屏(Display)、摄像头(Camera)，可选用户接口303还可以包括标准的有线接口、无线接口。
其中，网络接口304可选的可以包括标准的有线接口、无线接口(如WI-FI接口)。
其中，中央处理器301可以包括一个或者多个处理核心。中央处理器301利用各种接口和线路连接整个电子设备300内的各个部分，通过运行或执行存储在存储器305内的指令、程序、代码集或指令集，以及调用存储在存储器305内的数据，执行终端300的各种功能和处理数据。可选的，中央处理器301可以采用数字信号处理(Digital SignalProcessing，DSP)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、可编程逻辑阵列(Programmable Logic Array，PLA)中的至少一种硬件形式来实现。中央处理器301可集成中央中央处理器(Central Processing Unit，CPU)、图像中央处理器(GraphicsProcessing Unit，GPU)和调制解调器等中的一种或几种的组合。其中，CPU主要处理操作系统、用户界面和应用程序等；GPU用于负责显示屏所需要显示的内容的渲染和绘制；调制解调器用于处理无线通信。可以理解的是，上述调制解调器也可以不集成到中央处理器301中，单独通过一块芯片进行实现。
其中，存储器305可以包括随机存储器(Random Access Memory，RAM)，也可以包括只读存储器(Read-Only Memory)。可选的，该存储器305包括非瞬时性计算机可读介质(non-transitory computer-readable storage medium)。存储器305可用于存储指令、程序、代码、代码集或指令集。存储器305可包括存储程序区和存储数据区，其中，存储程序区可存储用于实现操作系统的指令、用于至少一个功能的指令(比如触控功能、声音播放功能、图像播放功能等)、用于实现上述各个方法实施例的指令等；存储数据区可存储上面各个方法实施例中涉及到的数据等。存储器305可选的还可以是至少一个位于远离前述中央处理器301的存储装置。如图3所示，作为一种计算机存储介质的存储器305中可以包括操作系统、网络通信模块、用户接口模块以及程序指令。
在图3所示的电子设备300中，用户接口303主要用于为用户提供输入的接口，获取用户输入的数据；而中央处理器301可以用于调用存储器305中存储的电子烟具的分段加热控温应用程序，并具体执行以下操作：
获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
本申请还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述方法的步骤。其中，计算机可读存储介质可以包括但不限于任何类型的盘，包括软盘、光盘、DVD、CD-ROM、微型驱动器以及磁光盘、ROM、RAM、EPROM、EEPROM、DRAM、VRAM、闪速存储器设备、磁卡或光卡、纳米系统(包括分子存储器IC)，或适合于存储指令和/或数据的任何类型的媒介或设备。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些服务接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通进程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器(Read-Only Memory，ROM)、随机存取器(Random AccessMemory，RAM)、磁盘或光盘等。
以上所述者，仅为本公开的示例性实施例，不能以此限定本公开的范围。即但凡依本公开教导所作的等效变化与修饰，皆仍属本公开涵盖的范围内。本领域技术人员在考虑说明书及实践这里的公开后，将容易想到本公开的其实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未记载的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的范围和精神由权利要求限定。

Claims (10)

  1. 一种电子烟具的分段加热控温方法，其特征在于，所述方法包括：
    获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
    确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
    基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
  2. 根据权利要求1所述的方法，其特征在于，所述获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段，包括：
    获取烟具参数信息，所述烟具参数信息包括烟支插入槽深度、烟支插入槽半径；
    基于所述烟支插入槽深度、烟支插入槽半径确定理想加热间距；
    根据所述理想加热间距划分至少两个烟支加热段。
  3. 根据权利要求1所述的方法，其特征在于，所述基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内，包括：
    基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度；
    将各所述调整加热温度导入至所述神经卷积网络模型，计算预设抽吸条件下各所述烟支加热段的第二温度变化曲线；
    当所述第二温度变化曲线的温度范围不完全处于预设范围内时，基于所述第二温度变化曲线分别调整各所述烟支加热段所对应的所述调整加热温度，并重复所述将各所述调整加热温度导入至所述神经卷积网络模型的步骤，直至所述第二温度变化曲线的温度范围均处于预设范围内。
  4. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    检测到烟具关闭时，记录各所述调整加热温度；
    当所述烟具再次启动时，基于各所述调整加热温度调控所述烟具内部 加热温度。
  5. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    收集用户抽吸习惯数据，所述用户抽吸习惯数据包括抽吸间隔、单次气体抽吸量；
    基于所述用户抽吸习惯数据优化所述神经卷积网络模型，并重新计算得到各所述调整加热温度。
  6. 根据权利要求5所述的方法，其特征在于，所述方法还包括：
    持续收集所述用户抽吸习惯数据，生成用户全程抽吸习惯曲线；
    在下一次启动烟具时，基于所述用户全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
  7. 根据权利要求6所述的方法，其特征在于，所述方法还包括：
    在至少生成有三个所述用户全程抽吸习惯曲线后，整合各所述用户全程抽吸习惯曲线，生成标准全程抽吸习惯曲线；
    在下一次启动烟具时，基于所述标准全程抽吸习惯曲线中的各抽吸节点动态调整各所述调整加热温度。
  8. 一种电子烟具的分段加热控温装置，其特征在于，所述装置包括：
    获取模块，用于获取烟具参数信息，基于所述烟具参数信息划分至少两个烟支加热段；
    确定模块，用于确定烟具初始加热温度，根据所述烟具初始加热温度构建神经卷积网络模型，用以计算预设抽吸条件下各所述烟支加热段的第一温度变化曲线；
    调整模块，用于基于所述第一温度变化曲线分别调整各所述烟支加热段所对应的所述初始加热温度，得到各调整加热温度，用以使各所述调整加热温度对应的第二温度变化曲线的温度范围均处于预设范围内。
  9. 一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1-7任一项所述方法的步骤。
  10. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1-7任一项所述方法的步 骤。
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