Method, device and electronic device for controlling segmented heating temperature in electronic cigarette device

Abstract

A method, device and electronic device for controlling segmented heating temperature of an electronic cigarette device, comprising the steps of: acquiring parameter information of the electronic cigarette device, and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device (S101); determining an initial heating temperature of the electronic cigarette device, constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device, and calculating a first temperature change curve of each tobacco heating segment under a predetermined smoking condition (S102); and adjusting the initial heating temperature corresponding to each tobacco heating segment based on the first temperature change curve, respectively, to obtain each adjusted heating temperature such that the temperature range of the second temperature change curve corresponding to each adjusted heating temperature is all within a predetermined range (S103). By dividing the inside of the electronic cigarette device into several tobacco heating segments and simulating and adjusting the temperature change of each tobacco heating segment during the inhalation process of the electronic cigarette device under a certain smoking condition, it is ensured that the temperature corresponding to the finally exhaled smoke is relatively balanced, and the user's lips are avoided from being burned when inhaling.

Description

cross reference

[0001] This application claims priority to a Chinese patent application filed with the China Patent Office on October 26, 2021, bearing application number 202111244660.0 and entitled "Segmented heating temperature control method, device and electronic device for electronic cigarette device", the entire contents of which are incorporated herein by reference. [Technical field]

[0002] The present application relates to the technical field of tobacco device heating control, and in particular to a segmented heating temperature control method, device and electronic device for electronic cigarette device. [Background technology]

[0003] The emergence of low-temperature cigarette products, which use a non-heating and non-burning method, has changed the visible smoke form adopted by the combustion of traditional cigarettes, and has significantly reduced the overall emission of tar and harmful substances, and has little harm to the environment and people around. Currently, non-heating cigarette devices heat tobacco in a circumferential manner, or use a central heating element to insert tobacco to achieve the purpose of heating. Compared with the traditional cigarette heating method of lighting and heating, both of the above heating processes heat the tobacco device uniformly, and the air circulation is poor, so that the smoke inside the tobacco device continues to accumulate heat during the heating process, and when the smoke is inhaled, the temperature of the position close to the inside is brought to the position close to the outside, and the temperature of the position close to the outside is further increased, which may result in the user's lips being burned when inhaling, which may affect the user's normal smoking experience. Summary of the Invention [Problem to be solved by the invention]

[0004] To solve the above problems, the embodiments of the present application provide a segmented heating temperature control method, device and electronic device for an electronic cigarette device. [Means for solving the problem]

[0005] According to a first aspect, an embodiment of the present application provides a segmented heating temperature control method for an electronic cigarette device, the method comprising: obtaining parameter information of an electronic cigarette device, and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device; determining an initial heating temperature of the electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; and adjusting the initial heating temperatures corresponding to each of the tobacco heating segments based on the first temperature change curve, respectively, to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range.

[0006] Preferably, the step of obtaining parameter information of the electronic cigarette device and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device comprises: Obtaining parameter information of the electronic cigarette device, the parameter information of the electronic cigarette device including a cigarette insertion groove depth and a cigarette insertion groove radius; determining an ideal heating pitch based on the tobacco insertion groove depth and the tobacco insertion groove radius; and dividing the tobacco into at least two tobacco heating segments based on the ideal heating pitch.

[0007] Preferably, the step of respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range, comprises: respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve to obtain each adjusted heating temperature; introducing each of the adjusted heating temperatures into the convolutional neural network model to calculate a second temperature change curve for each of the tobacco heating segments under a predetermined smoking condition; if the temperature ranges of the second temperature change curves are not entirely within the predetermined range, adjusting the adjusted heating temperatures corresponding to each of the tobacco heating segments based on the second temperature change curve, and repeating the step of introducing each of the adjusted heating temperatures into the convolutional neural network model until the temperature ranges of the second temperature change curves are entirely within the predetermined range.

[0008] Preferably, the method comprises the steps of: if it is detected that the electronic cigarette device is off, recording each of the adjusted heating temperatures; The method further includes adjusting and controlling an internal heating temperature of the electronic cigarette device based on each of the adjusted heating temperatures when the electronic cigarette device is activated again.

[0009] Preferably, the method comprises the steps of: collecting user's inhalation habit data, the user's inhalation habit data including an inhalation interval and an amount of gas taken per inhalation; and optimizing the convolutional neural network model based on the user's inhalation habit data to obtain each of the adjusted heating temperatures by recalculation.

[0010] Preferably, the method comprises the steps of: continuously collecting the user's inhalation habit data to generate a user's whole-life inhalation habit curve; and dynamically adjusting each of the adjusted heating temperatures based on each of the inhalation nodes in the user's whole-life inhalation habit curve when the electronic cigarette device is next activated.

[0011] Preferably, the method comprises the steps of: After generating at least three of the user's full-course inhalation habit curves, integrating each of the user's full-course inhalation habit curves to generate a standard full-course inhalation habit curve; and dynamically adjusting each of the adjusted heating temperatures based on each of the draw nodes in the standard full-course draw habit curve when the electronic cigarette device is next activated.

[0012] According to a second aspect, an embodiment of the present application provides a segmented heating temperature control device for an electronic cigarette device, the device comprising: an acquisition module for acquiring parameter information of an electronic cigarette device, and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device; a determination module for determining an initial heating temperature of the electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; and an adjusting module for adjusting the initial heating temperatures corresponding to each of the tobacco heating segments based on the first temperature change curve, respectively, to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range.

[0013] According to a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executed on the processor, which, when executed by the processor, implements the steps of the method provided by the first aspect or any one of the possible implementations of the first aspect.

[0014] According to a fourth aspect, an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, realises the method provided by the first aspect or any one of the possible realisations of the first aspect. Effect of the Invention

[0015] The beneficial effects of the present invention are as follows: the interior of the tobacco device is divided into several tobacco heating segments, and the temperature changes of each tobacco heating segment during the inhalation process of the tobacco device under certain smoking conditions are simulated and adjusted, so that different tobacco heating segments have different heating temperatures, and ensure that the temperatures corresponding to the final exhaled smoke are relatively balanced, thereby avoiding the occurrence of a situation where the user's lips are burned when inhaling, and the heating process of each tobacco heating segment is continuously adjusted according to the user's inhalation habits, thereby improving the user's smoking experience with the tobacco device. [Brief description of the drawings]

[0016] In order to more clearly explain the technical solutions in the embodiments of the present application, the following briefly introduces the drawings used in the embodiments. The drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings on the premise that they do not make efforts worthy of inventive step. [Figure 1] 1 is a flowchart of a segmented heating temperature control method for an electronic cigarette device provided by an embodiment of the present application. [Diagram 2] FIG. 2 is a structural schematic diagram of a segmented heating temperature control device of an electronic cigarette device provided by an embodiment of the present application; [Diagram 3] FIG. 2 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, in combination with the drawings of the embodiments of the present application, the technical solutions of the embodiments of the present application will be clearly and completely described.

[0018] In the following introduction, the terms "first", "second", etc. do not indicate or imply any relative importance, but are merely for descriptive purposes. The following introduction provides multiple embodiments of the present application, and different embodiments may be combined or substituted, and thus the present application may include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, the present application is also considered to include embodiments including all other possible combinations of one or more of A, B, C, and D, even though the following content may not explicitly state the embodiment.

[0019] The following description does not limit the scope, applicability or examples described in the claims, but merely provides examples. The functions and arrangements of the described elements may be changed without departing from the scope of the subject matter of this application. Various steps or units may be omitted, substituted, or added to each example as appropriate. For example, the methods described may be performed in a different order than described, and various steps may be added, omitted, or combined. Also, features described with respect to some examples may be combined with other examples.

[0020] Please refer to FIG. 1, which is a flowchart of a segmented heating temperature control method for an electronic cigarette device provided by an embodiment of the present application. In an embodiment of the present application, the method includes the following steps: S101: Obtain parameter information of an electronic cigarette device, and divide the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device.

[0021] The subject of the present application may be a controller in a heated non-combustion tobacco device.

[0022] In the embodiment of the present application, the specific usage of the heated non-combustion tobacco device is to insert a heated non-combustion tobacco into the corresponding heated non-combustion tobacco device, heat the tobacco by the heated non-combustion tobacco device to generate smoke, and the user inhales. Different tobacco devices have different models, so the parameter information of the tobacco device corresponding to different tobacco devices is different, that is, different models of tobacco devices have different tobacco insertion depths, different insertable tobacco sizes, and different tobacco segment lengths that the tobacco devices actually heat. In order to ensure that the smoke drawn out from each part of the tobacco device does not burn the lips, the present application segments the inserted part of the tobacco to perform segmented heating. Therefore, first obtain the parameter information of the electronic cigarette device, and determine the number of tobacco heating segments to be divided according to the parameter information of the electronic cigarette device.

[0023] In a possible embodiment, the step of obtaining parameter information of the electronic cigarette device and dividing the tobacco into at least two tobacco heating segments based on the parameter information of the electronic cigarette device includes: Obtaining parameter information of the electronic cigarette device, the parameter information of the electronic cigarette device including a cigarette insertion groove depth and a cigarette insertion groove radius; determining an ideal heating pitch based on the tobacco insertion groove depth and the tobacco insertion groove radius; and dividing the tobacco into at least two heating segments based on the ideal heating pitch.

[0024] In the embodiment of the present application, the controller can obtain the tobacco insertion groove depth and the tobacco insertion groove radius according to the parameter information of the electronic cigarette device, in order to ensure the effect of segmented heating, the segmentation distance should not be too long, and the larger the tobacco insertion groove radius, the higher the temperature for heating to the inside of the tobacco will be, which will affect the temperature at the intersection of adjacent heating segments. Therefore, it is necessary to determine an appropriate ideal heating pitch according to the tobacco insertion groove depth and the tobacco insertion groove radius, and divide the tobacco heating segments according to this.

[0025] S102: Determine an initial heating temperature of the electronic cigarette device, and construct a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition.

[0026] In the embodiments of the present application, said smoking conditions may be understood as the environmental conditions during puffing of the simulated tobacco device, such as puff intensity, puff interval, etc.

[0027] In the embodiment of the present application, in a traditional tobacco device, the heating temperature of each part inside is the same, the controller determines the initial heating temperature of the tobacco device, i.e., the default heating temperature, to obtain a training model, and performs a simulation heating training on the tobacco device according to the initial heating temperature of the tobacco device, to construct and obtain a convolutional neural network model for the tobacco device, the specific construction and generation process is common knowledge that can be easily conceived by those skilled in the art, and the construction process of the model is not the focus of the present application, so it is not described in detail here. Through the constructed convolutional neural network model, when the tobacco device is heated uniformly at the initial heating temperature inside under a predetermined smoking condition (i.e., the determined puff time interval and puff intensity), the first temperature change curve of each divided tobacco heating segment during the heating process can be determined.

[0028] S103: Adjust the initial heating temperatures corresponding to each of the tobacco heating segments respectively based on the first temperature change curve to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range.

[0029] In the embodiment of the present application, the first temperature change curve can be used to know the temperature threshold range of each tobacco heating segment under the balanced heating of the initial heating temperature, and ensure that the temperature of the smoke finally drawn out should not be too high or too low in order to avoid burning the lips and ensure the smoothness of the inhalation, that is, the temperature change of each tobacco heating segment should be within a predetermined range during the entire inhalation process. Therefore, the heating temperature of each tobacco heating segment is adjusted according to the first temperature change curve corresponding to each tobacco heating segment, and finally, an adjusted heating temperature corresponding to the second temperature change curve whose temperature ranges are all within the predetermined range is obtained. By maintaining the adjusted heating temperature of each tobacco heating segment, the user's smoking experience during the entire inhalation process can be guaranteed without burning the lips, and such an adjustment process is relatively simple and can be applied to different tobacco devices.

[0030] In a possible embodiment, the step of respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments based on the first temperature change curve to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range, comprises: respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve to obtain each adjusted heating temperature; introducing each of the adjusted heating temperatures into the convolutional neural network model to calculate a second temperature change curve for each of the tobacco heating segments under a predetermined smoking condition; if the temperature ranges of the second temperature change curves are not entirely within the predetermined range, adjusting the adjusted heating temperatures corresponding to each of the tobacco heating segments based on the second temperature change curve, and repeating the step of introducing each of the adjusted heating temperatures into the convolutional neural network model until the temperature ranges of the second temperature change curves are entirely within the predetermined range.

[0031] In the embodiment of the present application, the initial heating temperature is adjusted according to the first temperature change curve, and the adjusted heating temperature is obtained. Then, a simulation calculation is carried out in a convolutional neural network model according to the adjusted heating temperature, thereby determining whether the generated second temperature change curve is completely within a predetermined range. If the generated second temperature change curve is not completely within the predetermined range, the adjusted heating temperature is readjusted according to the result of the second temperature change curve, and the process of simulating in the model is repeated until an adjusted heating temperature that meets the conditions is obtained.

[0032] In a possible embodiment, the method further comprises the steps of: if it is detected that the electronic cigarette device is off, recording each of the adjusted heating temperatures; The method further includes adjusting and controlling an internal heating temperature of the electronic cigarette device based on each of the adjusted heating temperatures when the electronic cigarette device is activated again.

[0033] In an embodiment of the present application, after calculating an adjusted heating temperature suitable for the tobacco device, the adjusted heating temperature is recorded when the tobacco device is turned off, so that when the tobacco device is turned on again, the heating temperature adjustment control can be directly performed on the tobacco device based on each adjusted heating temperature, without the need to calculate based on the convolutional neural network model every time, and the inhalation efficiency of the tobacco device can be ensured.

[0034] In a possible embodiment, the method further comprises the steps of: collecting user's inhalation habit data, the user's inhalation habit data including an inhalation interval and a single gas inhalation amount; and optimizing the convolutional neural network model based on the user's smoking habit data to recalculate each of the adjusted heating temperatures.

[0035] In the embodiment of the present application, the above process adjusts the heating temperature according to a given smoking condition, i.e., the average puff interval and the average puff amount set based on a large amount of user data. However, different users have different puffing habits, and different puffing habits will affect the air flow amount and heat accumulation time inside the tobacco device, and the calculated adjusted heating temperature will not be accurate and may still burn the lips. Therefore, when the user is actually smoking, the puffing habit data of the user is collected, and the simulation process of the convolutional neural network model is optimized based on the user's actual puffing habit data to recalculate the adjusted heating temperature, ensuring that the finally obtained adjusted heating temperature is the most suitable for the user.

[0036] In a possible embodiment, the method further comprises the steps of: continuously collecting the user's inhalation habit data to generate a user's whole-life inhalation habit curve; dynamically adjusting each of the adjusted heating temperatures according to each of the draw nodes in the user's whole-life puffing habit curve when the tobacco device is next activated; Further includes:

[0037] In the embodiment of the present application, in the actual smoking process of a user, it is impossible to puff according to a completely constant interval and intensity, and there are personal habits, such as, for example, after two puffs, enjoying the taste, and continuing to puff, so that only referring to the user's puffing habit data may still not be able to adjust the optimal heating temperature. Therefore, the user's puffing habit data is continuously collected, and a habit curve of the entire puffing process of the user is generated based on the collected data. The habit curve can accurately represent the dynamic changes of the puffing habit of the user during the entire puffing process, and further, when the tobacco device is started next time, the time interval between each puff node, the change in puffing intensity, and other data are determined based on the puffing nodes in the habit curve, and the adjusted heating temperature is dynamically adjusted based on the collected data to better respond to the user's puffing situation.

[0038] In a possible embodiment, the method further comprises the steps of: After generating at least three of the user's full-course inhalation habit curves, integrating each of the user's full-course inhalation habit curves to generate a standard full-course inhalation habit curve; and dynamically adjusting each of the adjusted heating temperatures based on each of the draw nodes in the standard full-course draw habit curve the next time the tobacco device is activated.

[0039] In an embodiment of the present application, a user full-process puffing habit curve is generated every time a user performs a complete smoking process, and the controller integrates and adjusts the curve based on at least three user full-process puffing habit curves to eliminate errors and obtain a standard full-process puffing habit curve, and adjusts the adjusted heating temperature in the subsequent process based on the standard full-process puffing habit curve.

[0040] The segmented heating temperature control device of an electronic cigarette device provided in the embodiment of the present application will be described in detail below in conjunction with FIG 2. It should be noted that the segmented heating temperature control device of an electronic cigarette device shown in FIG 2 implements the method of the embodiment of the present application shown in FIG 1, and for ease of explanation, only the parts related to the embodiment of the present application are shown, and the specific technical details not disclosed may be referred to the embodiment of FIG 1 of the present application.

[0041] Please refer to Fig. 2, which is a structural schematic diagram of a segmented heating temperature control device of an electronic cigarette device provided by an embodiment of the present application. As shown in Fig. 2, the device includes: An acquisition module 201 for acquiring parameter information of an electronic cigarette device and dividing the electronic cigarette device into at least two tobacco heating segments according to the parameter information of the electronic cigarette device; a determination module 202 for determining an initial heating temperature of an electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; and an adjustment module 203 for respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments based on the first temperature change curve to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range.

[0042] In a possible embodiment, the acquisition module 201: An acquisition unit for acquiring parameter information of an electronic cigarette device, the parameter information of the electronic cigarette device including a cigarette insertion groove depth and a cigarette insertion groove radius; an ideal heating pitch determination unit for determining an ideal heating pitch based on the tobacco insertion groove depth and the tobacco insertion groove radius; and a heating segment division unit for dividing the tobacco into at least two tobacco heating segments based on the ideal heating pitch.

[0043] In a possible embodiment, the adjustment module 203 is a first adjusting unit for respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve to obtain each adjusted heating temperature; an input unit for inputting each of the adjusted heating temperatures into the convolutional neural network model to calculate a second temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; and a second adjusting unit, for adjusting the adjusted heating temperatures corresponding to each of the tobacco heating segments based on the second temperature change curve if the temperature ranges of the second temperature change curve are not completely within the predetermined range, and repeating the steps of introducing each of the adjusted heating temperatures into the convolutional neural network model until the temperature ranges of the second temperature change curves are all within the predetermined range.

[0044] In a possible embodiment, the device comprises: a recording module for recording each of the adjusted heating temperatures when the electronic cigarette device is detected to be off; and a start-up module for adjusting and controlling an internal heating temperature of the electronic cigarette device based on each of the adjusted heating temperatures when the electronic cigarette device is started up again.

[0045] In a possible embodiment, the device comprises: A collection module for collecting user's inhalation habit data, the user's inhalation habit data including an inhalation interval and a single gas inhalation amount; and an optimization module that optimizes the convolutional neural network model based on the user's smoking habit data to recalculate each of the adjusted heating temperatures.

[0046] In a possible embodiment, the device comprises: a continuous collection module for continuously collecting the user's inhalation habit data and generating a user's whole-life inhalation habit curve; and a first dynamic adjustment module for dynamically adjusting each of the adjusted heating temperatures according to each of the draw nodes in the user's whole-life draw habit curve when the tobacco device is activated next time.

[0047] In a possible embodiment, the device comprises: a synthesis module for synthesizing each of the user's whole-process inhalation habit curves to generate a standard whole-process inhalation habit curve after generating at least three of the user's whole-process inhalation habit curves; and a second dynamic adjustment module for dynamically adjusting each of the adjusted heating temperatures based on each of the draw nodes in the standard full-course draw habit curve when the tobacco device is next activated.

[0048] As known to those skilled in the art, the technical solutions of the embodiments of the present application may be realized by software and / or hardware. In this specification, a "unit" and a "module" refer to software and / or hardware that independently or cooperates with other components to complete a specific function, and the hardware may be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), etc.

[0049] Each processing unit and / or module in the embodiments of the present application may be realized by a simulated circuit that realizes the functions described in the embodiments of the present application, or may be realized by software that executes the functions described in the embodiments of the present application.

[0050] Please refer to Fig. 3, which is a structural schematic diagram of an electronic device according to an embodiment of the present application, which can implement the method in the embodiment shown in Fig. 1. As shown in Fig. 3, the electronic device 300 includes at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication path 302.

[0051] A communication path 302 provides the connection communication between these components.

[0052] The user interface 303 may include a display and a camera, and optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0053] Optionally, the network interface 304 may include a standard wired interface, a wireless interface (eg, a WI-FI interface).

[0054] The central processor 301 may include one or more processing cores. The central processor 301 connects each part in the overall electronic device 300 using various interfaces and lines, and executes or runs instructions, programs, code sets or instruction sets stored in the memory 305 to execute various functions and process data of the terminal 300 by calling data stored in the memory 305. Optionally, the central processor 301 may be realized in at least one hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), a programmable logic array (PLA). The central processor 301 is integrated with one or several combinations of a central processor (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), a modem, etc. The CPU mainly processes the operating system, user interface, application programs, etc., the GPU is responsible for rendering and drawing the contents that need to be displayed on the display, and the modem handles wireless communication. Here, the modem may not be integrated into the central processor 301, but may be realized separately by a single chip.

[0055] The memory 305 may include a Random Access Memory (RAM) or a Read-Only Memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 stores instructions, programs, codes, code sets, or instruction sets. The memory 305 includes instructions for implementing an operating system, instructions for at least one function (e.g., touch control function, audio playback function, image playback function, etc.), a program storage area for storing instructions for implementing each of the above method embodiments, and a data storage area for storing data related to each of the above method embodiments. Optionally, the memory 305 may be at least one storage device separate from the central processor 301. As shown in FIG. 3, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0056] In the electronic device 300 shown in FIG. 3, the user interface 303 mainly provides an input interface for the user and receives data input by the user. The central processor 301 calls the segmented heating temperature control application program of the electronic cigarette device stored in the memory 305, specifically: obtaining parameter information of an electronic cigarette device, and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device; determining an initial heating temperature of the electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; and adjusting the initial heating temperatures corresponding to each of the tobacco heating segments based on the first temperature change curve to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range.

[0057] The present application further provides a computer readable storage medium having a computer program stored thereon, which, when executed by a processor, realizes the steps of the above method. The computer readable storage medium may include, but is not limited to, any type of disk, such as a floppy disk, an optical disk, a DVD, a CD-ROM, a microdrive, a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic or optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0058] Although the above method embodiments are described as a series of operations for ease of explanation, those skilled in the art will appreciate that the present application is not limited to the order of operations described, since some steps may be performed in other orders or simultaneously according to the present application. Furthermore, those skilled in the art will appreciate that the embodiments described in the specification are preferred embodiments, and the associated operations and modules are not necessarily required for the present application.

[0059] In the above embodiments, the description of each embodiment is focused on the main points, and for the parts not described in detail in one embodiment, reference may be made to the relevant descriptions of other embodiments.

[0060] In some embodiments provided by the present application, the disclosed devices may be realized in other forms. For example, the above-mentioned device embodiments are merely exemplary, for example, the division of the units is merely a division of logical functions, and in actual implementation, there may be other division methods, for example, multiple units or components may be combined or integrated into other systems, or some features may be omitted or not implemented. In addition, the couplings or direct couplings or communication connections between the shown or discussed mutually may be indirect couplings or communication connections through some service interfaces, devices or units, and may be in electrical or other forms.

[0061] The units described as individual components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed among multiple network units. According to actual needs, some or all of the units can be selected to realize the purpose of the solution of the embodiment.

[0062] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist physically as an individual unit, or two or more units may be integrated into one unit. The integrated unit may be realized in the form of hardware or software functional means.

[0063] The integrated unit may be realized in the form of a software functional unit and stored in one computer-readable memory when sold or used as an independent product. Based on this understanding, the essence of the technical solution of the present application, or a part of the contribution to the prior art, or all or a part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in one memory and includes some instructions for causing a computer device (such as a personal computer, a server or a network device) to execute all or a part of the steps of the method described in each embodiment of the present application. The memory includes various media that can store program code, such as a USB memory, a read-only memory (ROM), a random access memory (RAM), a portable hard disk, a magnetic disk or an optical disk.

[0064] As can be understood by those skilled in the art, all or some of the steps in each method of the above embodiments can be completed by instructing relevant hardware by a program, and the program can be stored in a computer-readable memory, which can include a flash memory, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0065] The above is not limiting the scope of the present disclosure, but merely an exemplary embodiment of the present disclosure. That is, any equivalent changes and modifications completed based on the teachings of the present disclosure are within the scope of the present disclosure. After considering the specification and practicing the disclosure, a person skilled in the art can easily come up with other implementation solutions of the present disclosure. The present application is intended to cover any variations, uses or adaptive modifications of the present disclosure, which variations, uses or adaptive modifications follow the general principles of the present disclosure and include common common knowledge or ordinary technical means in the art that are not described in the present disclosure. The specification and examples are merely illustrative, and the scope and spirit of the present disclosure are limited by the claims.

Claims

1. 1. A segmented heating temperature control method for an electronic cigarette device, comprising: obtaining parameter information of an electronic cigarette device, and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device; determining an initial heating temperature of the electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve, respectively, to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range; The method according to claim 1, further comprising:

2. The step of obtaining parameter information of the electronic cigarette device and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device includes: Obtaining parameter information of the electronic cigarette device, the parameter information of the electronic cigarette device including a cigarette insertion groove depth and a cigarette insertion groove radius; determining an ideal heating pitch based on the tobacco insertion groove depth and the tobacco insertion groove radius; dividing the tobacco into at least two tobacco heating segments based on the ideal heating pitch; 2. The method of claim 1, comprising:

3. adjusting the initial heating temperatures corresponding to the tobacco heating segments according to the first temperature change curves to obtain the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to the adjusted heating temperatures are all within a predetermined range; respectively adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve to obtain each adjusted heating temperature; introducing each of the adjusted heating temperatures into the convolutional neural network model to calculate a second temperature change curve for each of the tobacco heating segments under a given smoking condition; if the temperature ranges of the second temperature change curves are not entirely within a predetermined range, adjusting the adjusted heating temperatures corresponding to each of the tobacco heating segments according to the second temperature change curve, and repeating the steps of introducing each of the adjusted heating temperatures into the convolutional neural network model until the temperature ranges of the second temperature change curves are entirely within a predetermined range; 2. The method of claim 1, comprising:

4. if it is detected that the electronic cigarette device is off, recording each of the adjusted heating temperatures; When the electronic cigarette device is activated again, adjusting and controlling a heating temperature inside the electronic cigarette device based on each of the adjusted heating temperatures; The method of claim 1 further comprising:

5. collecting user inhalation habit data, the user inhalation habit data including an inhalation interval and a single gas inhalation amount; optimizing the convolutional neural network model to recalculate each of the adjusted heating temperatures based on the user smoking habit data; The method of claim 1 further comprising:

6. continuously collecting the user's inhalation habit data to generate a user's whole-life inhalation habit curve; dynamically adjusting each of the adjusted heating temperatures according to each of the puff nodes in the user's full-life puff habit curve when the electronic cigarette device is next activated; 6. The method of claim 5, further comprising:

7. After generating at least three of the user's full-course inhalation habit curves, integrating each of the user's full-course inhalation habit curves to generate a standard full-course inhalation habit curve; dynamically adjusting each of the adjusted heating temperatures based on each of the draw nodes in the standard full-course draw habit curve when the electronic cigarette device is next activated; The method of claim 6 further comprising:

8. 1. A segmented heating temperature control device for an electronic cigarette device, comprising: an acquisition module for acquiring parameter information of an electronic cigarette device and dividing the electronic cigarette device into at least two tobacco heating segments based on the parameter information of the electronic cigarette device; a determination module for determining an initial heating temperature of the electronic cigarette device, and constructing a convolutional neural network model based on the initial heating temperature of the electronic cigarette device to calculate a first temperature change curve of each of the tobacco heating segments under a predetermined smoking condition; an adjusting module for adjusting the initial heating temperatures corresponding to each of the tobacco heating segments according to the first temperature change curve, respectively, to obtain each of the adjusted heating temperatures, such that the temperature ranges of the second temperature change curves corresponding to each adjusted heating temperature are all within a predetermined range; An apparatus comprising:

9. An electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, When said processor executes said computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

1. An electronic device comprising:

10. A computer-readable storage medium having a computer program stored thereon, The computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 7. A computer-readable storage medium comprising:

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