CN113876044A - Segmented heating temperature control method and device for electronic smoking set and electronic equipment - Google Patents
Segmented heating temperature control method and device for electronic smoking set and electronic equipment Download PDFInfo
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 230
- 230000000391 smoking effect Effects 0.000 title claims abstract description 154
- 238000000034 method Methods 0.000 title claims abstract description 75
- 235000019504 cigarettes Nutrition 0.000 claims abstract description 95
- 230000008859 change Effects 0.000 claims abstract description 53
- 230000001537 neural effect Effects 0.000 claims abstract description 25
- 230000015654 memory Effects 0.000 claims description 25
- 238000003780 insertion Methods 0.000 claims description 23
- 230000037431 insertion Effects 0.000 claims description 23
- 238000005086 pumping Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 abstract description 12
- 239000000779 smoke Substances 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 9
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- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 6
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- 230000011218 segmentation Effects 0.000 description 4
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- 238000002485 combustion reaction Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 206010053615 Thermal burn Diseases 0.000 description 1
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Images
Classifications
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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
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- 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
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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
- A24F40/50—Control or monitoring
- A24F40/57—Temperature control
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- 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
Abstract
The invention discloses a segmented heating temperature control method, a segmented heating temperature control device and electronic equipment of an electronic smoking set, wherein the method comprises the steps of obtaining smoking set parameter information, and dividing at least two cigarette heating segments based on the smoking set parameter information; determining the initial heating temperature of the smoking set, and constructing a neural convolution network model according to the initial heating temperature of the smoking set so as to calculate a first temperature change curve of each cigarette heating section under a preset smoking condition; and respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature range of the second temperature change curve corresponding to each adjusted heating temperature is within a preset range. The invention realizes that the interior of the smoking set is divided into a plurality of cigarette heating sections, and the temperature change of each cigarette heating section in the smoking process of the smoking set under a certain smoking condition is simulated and adjusted, so that the corresponding temperature of the finally smoked smoke is ensured to be relatively balanced, and the situation that the mouth is scalded when a user smokes the smoking set is avoided.
Description
Technical Field
The application relates to the technical field of smoking set heating control, in particular to a segmented heating temperature control method and device for an electronic smoking set and electronic equipment.
Background
The appearance of low-temperature cigarette products changes the mode that visible smoke is adopted in the traditional cigarette combustion through a heating non-combustion mode, the overall release amount of tar and harmful ingredients is greatly reduced, and the harm to the environment and other people around is small. At present, the mode that the heating does not burn cigarette smoking set heats cigarette through circumference heating, or utilize central heating element to insert cigarette in order to reach the purpose of heating, compare with the ignition heating mode of traditional cigarette, above-mentioned no matter what kind of heating process all carries out the even heating in the inside of smoking set, the air circulation nature is relatively poor, the inside flue gas of smoking set can be constantly accumulated the heat in the heating process, and the flue gas can be taken to the position that leans on the outside by the temperature of inside when being smoked, further promoted the temperature that leans on the outside position, the mouth can be scalded when the user smokes finally, influence user's normal smoking experience.
Disclosure of Invention
In order to solve the above problems, embodiments of the present application provide a method and an apparatus for controlling temperature of an electronic smoking set by sectional heating, and an electronic device.
In a first aspect, an embodiment of the present application provides a method for controlling temperature of an electronic smoking set by segmented heating, where the method includes:
acquiring smoking set parameter information, and dividing at least two cigarette heating sections based on the smoking set parameter information;
determining the initial heating temperature of the smoking set, and constructing a neural convolution network model according to the initial heating temperature of the smoking set so as to calculate a first temperature change curve of each cigarette heating section under a preset smoking condition;
and respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature range of a second temperature change curve corresponding to each adjusted heating temperature is within a preset range.
Preferably, acquire smoking set parameter information, based on smoking set parameter information divides two at least cigarette heating sections, include:
acquiring smoking set parameter information, wherein the smoking set parameter information comprises the depth of a cigarette insertion groove and the radius of the cigarette insertion groove;
determining an ideal heating distance based on the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
and dividing at least two cigarette heating sections according to the ideal heating interval.
Preferably, the adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature variation curve respectively to obtain each adjusted heating temperature, so that the temperature range of the second temperature variation curve corresponding to each adjusted heating temperature is within a preset range, including:
respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature;
introducing each adjusted heating temperature into the neural convolution network model, and calculating a second temperature change curve of each cigarette heating section under a preset suction condition;
and when the temperature range of the second temperature change curve is not completely within the preset range, respectively adjusting the adjusted heating temperature corresponding to each cigarette heating section based on the second temperature change curve, and repeating the step of leading each adjusted heating temperature into the neural convolution network model until the temperature range of the second temperature change curve is within the preset range.
Preferably, the method further comprises:
when the smoking set is detected to be closed, recording each adjusted heating temperature;
when the smoking set is restarted, the internal heating temperature of the smoking set is regulated and controlled based on each of the adjusted heating temperatures.
Preferably, the method further comprises:
collecting user puff habit data comprising a puff interval, a single puff volume of gas;
and optimizing the neural convolution network model based on the user pumping habit data, and recalculating to obtain each adjusted heating temperature.
Preferably, the method further comprises:
continuously collecting the user suction habit data to generate a user whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each of the suction nodes in the user's full draw habit curve when starting the smoking article the next time.
Preferably, the method further comprises:
after at least three user whole-process suction habit curves are generated, integrating all the user whole-process suction habit curves to generate a standard whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each suction node in the standard full-stroke suction habit curve when the smoking article is next activated.
In a second aspect, an embodiment of the present application provides a temperature control device for heating an electronic smoking set in sections, where the device includes:
the acquisition module is used for acquiring smoking set parameter information and dividing at least two cigarette heating sections based on the smoking set parameter information;
the determining module is used for determining the initial heating temperature of the smoking set, constructing a neural convolution network model according to the initial heating temperature of the smoking set and calculating a first temperature change curve of each cigarette heating section under a preset smoking condition;
and the adjusting module is used for respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature so as to enable the temperature range of the second temperature change curve corresponding to each adjusted heating temperature to be within a preset range.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method as provided in the first aspect or any one of the possible implementation manners of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as provided in the first aspect or any one of the possible implementations of the first aspect.
The invention has the beneficial effects that: divide into a plurality of cigarette heating sections with the smoking set is inside, the temperature variation through each cigarette heating section to smoking set suction in-process under certain suction condition simulates and adjusts, and then make different cigarette heating sections have different heating temperature, the temperature that the flue gas that has guaranteed to finally be sucked out corresponds is balanced relatively, the condition of scalding the mouth when having avoided the user to suck takes place, and can be according to the heating process of the continuous each cigarette heating section of user's suction custom, improve user's smoking set suction and experience.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a temperature control method for sectional heating of an electronic smoking set according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a segmented heating temperature control device of an electronic smoking set according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the present application, where different embodiments may be substituted or combined, and thus the present application is intended to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be considered to include an embodiment that includes one or more of all other possible combinations of A, B, C, D, even though this embodiment may not be explicitly recited in text below.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
Referring to fig. 1, fig. 1 is a schematic flow chart of a segmented heating temperature control method for an electronic smoking set according to an embodiment of the present application. In an embodiment of the present application, the method includes:
s101, smoking set parameter information is obtained, and at least two cigarette heating sections are divided based on the smoking set parameter information.
The subject of the present application may be a controller within a heated non-burning smoking article.
In this application embodiment, the specific use mode of heating not burning smoking set is to insert the cigarette that does not burn with heating in the corresponding heating not burning smoking set, heating the cigarette through heating not burning smoking set, and then produce the flue gas and be smoked by the user. Different smoking sets are different in model, corresponding smoking set parameter information is different, namely, the cigarette insertion depth of the smoking sets of different models and the size of the corresponding insertable cigarette are different, and the lengths of the cigarette sections actually heated by the smoking sets are different. Because the mouth can not be scalded in order to guarantee that the final flue gas of going out from each part in the smoking set of this application, the event will be to the cigarette interior insertion part segmentation, come the segmentation heating. Therefore, the smoking set parameter information is obtained firstly, and the number of the cigarette heating sections needing to be divided is determined according to the smoking set parameter information.
In one embodiment, the obtaining smoking set parameter information and dividing at least two cigarette heating sections based on the smoking set parameter information includes:
acquiring smoking set parameter information, wherein the smoking set parameter information comprises the depth of a cigarette insertion groove and the radius of the cigarette insertion groove;
determining an ideal heating distance based on the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
and dividing at least two cigarette heating sections according to the ideal heating interval.
In this application embodiment, the controller will be able to obtain cigarette insertion groove depth and cigarette insertion groove radius through smoking set parameter information, in order to guarantee the effect of segmentation heating, the segmentation distance should not be overlength, and cigarette insertion groove radius is bigger, wants to heat to the temperature that cigarette inside needs just higher, and this temperature that also can influence the junction of adjacent heating section. Therefore, a more appropriate ideal heating interval is determined according to the depth of the cigarette insertion groove and the radius of the cigarette insertion groove, and the cigarette heating section is divided according to the ideal heating interval.
S102, determining the initial heating temperature of the smoking set, and constructing a neural convolution network model according to the initial heating temperature of the smoking set so as to calculate a first temperature change curve of each cigarette heating section under a preset smoking condition.
The smoking conditions may be understood in the embodiments of the present application as simulated environmental conditions of the smoking article when smoked, such as smoking intensity, smoking interval, etc.
In the embodiment of the present application, the heating temperatures of the internal parts of the conventional smoking set are the same, the controller determines the initial heating temperature of the smoking set, i.e. the default heating temperature, and obtains the training model to perform the simulated heating training on the smoking set according to the initial heating temperature of the smoking set, so as to construct the neural convolutional network model suitable for the smoking set. Through the constructed neural convolution network model, a first temperature change curve of each divided cigarette heating section in the heating process can be determined when the cigarette is uniformly heated at the initial heating temperature of the smoking set under the preset smoking condition (namely under the determined smoking time interval and the determined smoking intensity).
S103, respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature range of a second temperature change curve corresponding to each adjusted heating temperature is within a preset range.
In this application embodiment, through first temperature variation curve, can learn under initial heating temperature's equalizer heating, the temperature threshold value scope of each cigarette heating section, in order not to scald the mouth and guarantee the suction taste, the temperature that should guarantee the flue gas that finally the suction came out should not be too high, should not hang down too much yet, in whole suction process promptly, the temperature variation of each cigarette heating section should predetermine the within range. Therefore, the heating temperature of each cigarette heating section is respectively adjusted according to the first temperature change curve corresponding to each cigarette heating section, and finally the adjusted heating temperature corresponding to the second temperature change curve with the temperature range within the preset range is obtained. Through the adjustment heating temperature who keeps each cigarette heating section, just can guarantee the suction of the whole suction in-process of user and experience, the condition of scalding the mouth can not appear, and such adjustment process is simple relatively, and homoenergetic enough uses in the smoking set of difference.
In an implementation manner, the adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature variation curve to obtain each adjusted heating temperature, so that the temperature range of the second temperature variation curve corresponding to each adjusted heating temperature is within a preset range includes:
respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature;
introducing each adjusted heating temperature into the neural convolution network model, and calculating a second temperature change curve of each cigarette heating section under a preset suction condition;
and when the temperature range of the second temperature change curve is not completely within the preset range, respectively adjusting the adjusted heating temperature corresponding to each cigarette heating section based on the second temperature change curve, and repeating the step of leading each adjusted heating temperature into the neural convolution network model until the temperature range of the second temperature change curve is within the preset range.
In the embodiment of the application, the initial heating temperature is adjusted according to the first temperature change curve, and after the adjusted heating temperature is obtained, simulation calculation is performed in the neural convolution network model based on the adjusted heating temperature, so that whether the generated second temperature change curve is completely in the preset range is determined. When the generated second temperature change curve is not completely in the preset range, the adjusting heating temperature is adjusted again based on the result of the second temperature change curve, and the process of simulation in the model is repeated until the adjusting heating temperature meeting the condition is obtained.
In one embodiment, the method further comprises:
when the smoking set is detected to be closed, recording each adjusted heating temperature;
when the smoking set is restarted, the internal heating temperature of the smoking set is regulated and controlled based on each of the adjusted heating temperatures.
In this application embodiment, calculate after the adjustment heating temperature of adaptation in this smoking set, can record this adjustment heating temperature when the smoking set is closed to can directly carry out heating temperature's regulation and control to the smoking set based on each adjustment heating temperature when the smoking set restarts, need not all calculate according to the neural convolution network model at every turn, guaranteed the suction efficiency of smoking set.
In one embodiment, the method further comprises:
collecting user puff habit data comprising a puff interval, a single puff volume of gas;
and optimizing the neural convolution network model based on the user pumping habit data, and recalculating to obtain each adjusted heating temperature.
In the embodiment of the present application, the foregoing procedure is the heating temperature adjusted under the preset suction condition, that is, the average suction interval and the average suction amount set according to the large amount of user data. However, the smoking habit of each individual user is different, and the different smoking habits affect the airflow amount and the heat accumulation time inside the smoking set, so that the calculated heating temperature may not be accurate, and the situation of mouth burning may still occur. Therefore, when the user actually sucks, the suction habit data of the user are collected, the simulation process of the neural convolution network model is optimized based on the actual suction habit data of the user, the adjustment heating temperature is calculated again, and the finally obtained adjustment heating temperature is guaranteed to be most suitable for the user.
In one embodiment, the method further comprises:
continuously collecting the user suction habit data to generate a user whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each of the suction nodes in the user's full draw habit curve when starting the smoking article the next time.
In the embodiment of the application, during the actual smoking process of the user, the smoking may not be performed completely at constant intervals and strength, and the user may have personal habits, for example, after smoking two times, the user continues smoking after tasting, so that the optimal heating temperature may not be adjusted according to the data of the smoking habit of the user. Therefore, the data of the pumping habit of the user can be continuously collected, and the habit curve of the whole pumping process of the user can be generated. The habit curve can accurately represent the dynamic change of the smoking habit of the user in the whole smoking process, and then when the smoking set is started next time, the data such as time intervals and smoking force changes among all smoking nodes are determined based on the smoking nodes in the habit curve, so that the dynamic adjustment of the heating temperature can be adjusted, and the smoking condition of the user can be further adapted.
In one embodiment, the method further comprises:
after at least three user whole-process suction habit curves are generated, integrating all the user whole-process suction habit curves to generate a standard whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each suction node in the standard full-stroke suction habit curve when the smoking article is next activated.
In the embodiment of the application, each time a user performs a complete smoking process, a user whole-process smoking habit curve is generated, the controller integrates and adjusts the curve according to at least three user whole-process smoking habit curves, eliminates errors, obtains a standard whole-process smoking habit curve, and adjusts the heating temperature based on the standard whole-process smoking habit curve in a subsequent process.
The sectional heating temperature control device for an electronic smoking set provided by the embodiment of the present application will be described in detail below with reference to fig. 2. It should be noted that, the segmented heating temperature control device of the electronic smoking set shown in fig. 2 is used for executing the method of the embodiment shown in fig. 1 of the present application, and for convenience of description, only the portion related to the embodiment of the present application is shown, and details of the technology are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a segmented heating temperature control device of an electronic smoking set according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
an obtaining module 201, configured to obtain smoking set parameter information, and divide at least two cigarette heating sections based on the smoking set parameter information;
the determining module 202 is configured to determine an initial heating temperature of the smoking set, construct a neural convolution network model according to the initial heating temperature of the smoking set, and calculate a first temperature change curve of each cigarette heating section under a preset smoking condition;
and the adjusting module 203 is configured to adjust the initial heating temperatures corresponding to the cigarette heating sections respectively based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature ranges of the second temperature change curves corresponding to the adjusted heating temperatures are within a preset range.
In one implementation, the obtaining module 201 includes:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring smoking set parameter information, and the smoking set parameter information comprises the depth of a cigarette insertion groove and the radius of the cigarette insertion groove;
an ideal heating interval determining unit for determining an ideal heating interval based on the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
and the heating section dividing unit is used for dividing at least two cigarette heating sections according to the ideal heating interval.
In one possible implementation, the adjusting module 203 includes:
the first adjusting unit is used for respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature;
the leading-in unit is used for leading each adjusted heating temperature into the neural convolution network model and calculating a second temperature change curve of each cigarette heating section under a preset suction condition;
and the second adjusting unit is used for respectively adjusting the adjusting heating temperature corresponding to each cigarette heating section based on the second temperature change curve when the temperature range of the second temperature change curve is not completely within the preset range, and repeating the step of leading each adjusting heating temperature into the neural convolution network model until the temperature range of the second temperature change curve is within the preset range.
In one embodiment, the apparatus further comprises:
the recording module is used for recording each adjusted heating temperature when the smoking set is detected to be closed;
and the starting module is used for regulating and controlling the heating temperature inside the smoking set based on each adjusted heating temperature when the smoking set is started again.
In one embodiment, the apparatus further comprises:
a collection module for collecting user pumping habit data, wherein the user pumping habit data comprises pumping intervals and single gas pumping amount;
and the optimization module is used for optimizing the neural convolution network model based on the user suction habit data and recalculating to obtain each adjusted heating temperature.
In one embodiment, the apparatus further comprises:
the continuous collection module is used for continuously collecting the user suction habit data and generating a user whole-process suction habit curve;
a first dynamic adjustment module for dynamically adjusting each of the adjusted heating temperatures based on each of the suction nodes in the user's full-stroke suction habit curve when the smoking set is next started.
In one embodiment, the apparatus further comprises:
the integration module is used for integrating all the user whole-process suction habit curves to generate a standard whole-process suction habit curve after at least three user whole-process suction habit curves are generated;
and the second dynamic adjusting module is used for dynamically adjusting each heating temperature adjustment based on each suction node in the standard whole-course suction habit curve when the smoking set is started next time.
It is clear to a person skilled in the art that the solution according to the embodiments of the present application can be implemented by means of software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where the hardware may be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), or the like.
Each processing unit and/or module in the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device 300 may include: at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein a communication bus 302 is used to enable the connection 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 further include a standard wired interface and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The central processor 301 may include one or more processing cores. The central processor 301 connects various parts within the entire electronic device 300 using various interfaces and lines, and performs various functions of the terminal 300 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305 and calling data stored in the memory 305. Alternatively, the central Processing unit 301 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The CPU 301 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the cpu 301, but may be implemented by a single chip.
The Memory 305 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable medium. The memory 305 may be used to store instructions, programs, code sets, or instruction sets. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 305 may alternatively be at least one storage device located remotely from the central processor 301. As shown in fig. 3, memory 305, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user to obtain data input by the user; the central processor 301 may be configured to invoke a segmented heating and temperature control application of the electronic smoking article stored in the memory 305, and specifically perform the following operations:
acquiring smoking set parameter information, and dividing at least two cigarette heating sections based on the smoking set parameter information;
determining the initial heating temperature of the smoking set, and constructing a neural convolution network model according to the initial heating temperature of the smoking set so as to calculate a first temperature change curve of each cigarette heating section under a preset smoking condition;
and respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature range of a second temperature change curve corresponding to each adjusted heating temperature is within a preset range.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some service interfaces, devices or units, and may be an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program, which is stored in a computer-readable memory, and the memory may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A segmented heating temperature control method of an electronic smoking set is characterized by comprising the following steps:
acquiring smoking set parameter information, and dividing at least two cigarette heating sections based on the smoking set parameter information;
determining the initial heating temperature of the smoking set, and constructing a neural convolution network model according to the initial heating temperature of the smoking set so as to calculate a first temperature change curve of each cigarette heating section under a preset smoking condition;
and respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature, so that the temperature range of a second temperature change curve corresponding to each adjusted heating temperature is within a preset range.
2. The method of claim 1, wherein the obtaining smoking set parameter information, and dividing at least two cigarette heating segments based on the smoking set parameter information comprises:
acquiring smoking set parameter information, wherein the smoking set parameter information comprises the depth of a cigarette insertion groove and the radius of the cigarette insertion groove;
determining an ideal heating distance based on the depth of the cigarette insertion groove and the radius of the cigarette insertion groove;
and dividing at least two cigarette heating sections according to the ideal heating interval.
3. The method according to claim 1, wherein the step of respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature variation curve to obtain each adjusted heating temperature, so that the temperature range of the second temperature variation curve corresponding to each adjusted heating temperature is within a preset range includes:
respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature;
introducing each adjusted heating temperature into the neural convolution network model, and calculating a second temperature change curve of each cigarette heating section under a preset suction condition;
and when the temperature range of the second temperature change curve is not completely within the preset range, respectively adjusting the adjusted heating temperature corresponding to each cigarette heating section based on the second temperature change curve, and repeating the step of leading each adjusted heating temperature into the neural convolution network model until the temperature range of the second temperature change curve is within the preset range.
4. The method of claim 1, further comprising:
when the smoking set is detected to be closed, recording each adjusted heating temperature;
when the smoking set is restarted, the internal heating temperature of the smoking set is regulated and controlled based on each of the adjusted heating temperatures.
5. The method of claim 1, further comprising:
collecting user puff habit data comprising a puff interval, a single puff volume of gas;
and optimizing the neural convolution network model based on the user pumping habit data, and recalculating to obtain each adjusted heating temperature.
6. The method of claim 5, further comprising:
continuously collecting the user suction habit data to generate a user whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each of the suction nodes in the user's full draw habit curve when starting the smoking article the next time.
7. The method of claim 6, further comprising:
after at least three user whole-process suction habit curves are generated, integrating all the user whole-process suction habit curves to generate a standard whole-process suction habit curve;
dynamically adjusting each of the adjusted heating temperatures based on each suction node in the standard full-stroke suction habit curve when the smoking article is next activated.
8. A segmented heating and temperature control device for an electronic smoking set, the device comprising:
the acquisition module is used for acquiring smoking set parameter information and dividing at least two cigarette heating sections based on the smoking set parameter information;
the determining module is used for determining the initial heating temperature of the smoking set, constructing a neural convolution network model according to the initial heating temperature of the smoking set and calculating a first temperature change curve of each cigarette heating section under a preset smoking condition;
and the adjusting module is used for respectively adjusting the initial heating temperature corresponding to each cigarette heating section based on the first temperature change curve to obtain each adjusted heating temperature so as to enable the temperature range of the second temperature change curve corresponding to each adjusted heating temperature to be within a preset range.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1-7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111244660.0A CN113876044A (en) | 2021-10-26 | 2021-10-26 | Segmented heating temperature control method and device for electronic smoking set and electronic equipment |
| PCT/CN2022/127257 WO2023072034A1 (en) | 2021-10-26 | 2022-10-25 | Segmented heating temperature control method and apparatus for electronic vaping set, and electronic device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111244660.0A CN113876044A (en) | 2021-10-26 | 2021-10-26 | Segmented heating temperature control method and device for electronic smoking set and electronic equipment |
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| CN202111244660.0A Pending CN113876044A (en) | 2021-10-26 | 2021-10-26 | Segmented heating temperature control method and device for electronic smoking set and electronic equipment |
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| WO (1) | WO2023072034A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023072034A1 (en) * | 2021-10-26 | 2023-05-04 | 湖北中烟工业有限责任公司 | Segmented heating temperature control method and apparatus for electronic vaping set, and electronic device |
| WO2023229184A1 (en) * | 2022-05-27 | 2023-11-30 | 주식회사 케이티앤지 | Method and apparatus for creating virtual smoke |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107454697A (en) * | 2017-09-09 | 2017-12-08 | 深圳市余看智能科技有限公司 | A kind of heat stepwise ceramic heating tube for being used to heat not burning tobacco |
| CN109259330A (en) * | 2018-11-07 | 2019-01-25 | 上海小魅科技有限公司 | Electronic cigarette system, control method, electronic cigarette and storage medium |
| CN111493361A (en) * | 2019-01-29 | 2020-08-07 | 常州市派腾电子技术服务有限公司 | Voltage output circuit, electronic device and electronic cigarette |
| WO2020234166A1 (en) * | 2019-05-17 | 2020-11-26 | Xeotech Gmbh | Method for controlling an electronic vapor generation device |
| CN113197362A (en) * | 2021-05-28 | 2021-08-03 | 深圳市辰昱科技有限公司 | Method for controlling heating non-combustion electronic smoking set and smoking set |
| CN113519915A (en) * | 2021-07-31 | 2021-10-22 | 河南中烟工业有限责任公司 | Dynamic regulation and control method for heating temperature of heating cigarette smoking set |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207040894U (en) * | 2017-06-28 | 2018-02-27 | 深圳市合元科技有限公司 | Section heating type electronic smoking set |
| CN207589209U (en) * | 2017-09-09 | 2018-07-06 | 深圳市余看智能科技有限公司 | A kind of heat stepwise ceramic heating tube for being used to heat not burning tobacco |
| CN207678852U (en) * | 2017-12-05 | 2018-08-03 | 深圳市余看智能科技有限公司 | A kind of subsection heating device heating the cigarette that do not burn |
| CN108323824A (en) * | 2018-04-27 | 2018-07-27 | 常州市派腾电子技术服务有限公司 | Control method, device and the electronic cigarette of electronic cigarette |
| CN110859331B (en) * | 2018-08-20 | 2022-04-08 | 常州市派腾电子技术服务有限公司 | Temperature control method of electronic cigarette, electronic cigarette and computer storage medium |
| US11051558B2 (en) * | 2019-01-29 | 2021-07-06 | Xiangzheng Tu | Unburned tobacco controller in true response to smoker's puff process |
| WO2020181518A1 (en) * | 2019-03-13 | 2020-09-17 | 深圳市丽福科技有限责任公司 | Segmented heating temperature control system and electronic cigarette |
| CN111358060A (en) * | 2020-03-30 | 2020-07-03 | 深圳福斯码智控有限公司 | Control method and device for segmented heating of electronic cigarette and terminal equipment |
| CN112043009B (en) * | 2020-08-20 | 2021-08-06 | 深圳市云熙智能有限公司 | Low-temperature smoking set, temperature control method and device thereof and computer storage medium |
| CN113100496A (en) * | 2021-04-09 | 2021-07-13 | 福建中烟工业有限责任公司 | Electronic cigarette, control method thereof, controller and computer-readable storage medium |
| CN113876044A (en) * | 2021-10-26 | 2022-01-04 | 湖北中烟工业有限责任公司 | Segmented heating temperature control method and device for electronic smoking set and electronic equipment |
-
2021
- 2021-10-26 CN CN202111244660.0A patent/CN113876044A/en active Pending
-
2022
- 2022-10-25 WO PCT/CN2022/127257 patent/WO2023072034A1/en unknown
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107454697A (en) * | 2017-09-09 | 2017-12-08 | 深圳市余看智能科技有限公司 | A kind of heat stepwise ceramic heating tube for being used to heat not burning tobacco |
| CN109259330A (en) * | 2018-11-07 | 2019-01-25 | 上海小魅科技有限公司 | Electronic cigarette system, control method, electronic cigarette and storage medium |
| CN111493361A (en) * | 2019-01-29 | 2020-08-07 | 常州市派腾电子技术服务有限公司 | Voltage output circuit, electronic device and electronic cigarette |
| WO2020234166A1 (en) * | 2019-05-17 | 2020-11-26 | Xeotech Gmbh | Method for controlling an electronic vapor generation device |
| CN113197362A (en) * | 2021-05-28 | 2021-08-03 | 深圳市辰昱科技有限公司 | Method for controlling heating non-combustion electronic smoking set and smoking set |
| CN113519915A (en) * | 2021-07-31 | 2021-10-22 | 河南中烟工业有限责任公司 | Dynamic regulation and control method for heating temperature of heating cigarette smoking set |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023072034A1 (en) * | 2021-10-26 | 2023-05-04 | 湖北中烟工业有限责任公司 | Segmented heating temperature control method and apparatus for electronic vaping set, and electronic device |
| WO2023229184A1 (en) * | 2022-05-27 | 2023-11-30 | 주식회사 케이티앤지 | Method and apparatus for creating virtual smoke |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023072034A1 (en) | 2023-05-04 |
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