Aerosol generating device and detection method thereof

Abstract

The invention discloses an aerosol generating device and a detection method thereof. The detection method of the aerosol generating device comprises the following steps: acquiring an energy consumption curve of a heating device within a preset time; calculating an energy difference value corresponding to each sampling moment according to the energy consumption curve and a preset energy consumption curve; performing dry burning detection according to the energy difference value corresponding to each sampling moment; wherein the sampling time is determined on the basis of the preset time and the preset sampling frequency, and the preset energy consumption curve is an energy consumption curve of the heating device when the aerosol generating device is in the state that the solid aerosol generating product is contained in the aerosol generating device. According to the embodiment, dry burning detection can be carried out on the aerosol generating device.

Description

Technical Field

[0001] This application relates to the field of heated non-combustible smokers, and in particular to an aerosol generating device and its detection method. Background Technology

[0002] Tobacco products (such as cigarettes, cigars, etc.) produce tobacco smoke by burning tobacco during use. Efforts have been made to replace these tobacco-burning products by creating products that release compounds without combustion. Examples of such products are heating devices that release compounds by heating rather than burning the material; typical heating devices are heated non-combustible tobacco devices.

[0003] As an example of existing technology, if a user misoperates or the device is accidentally triggered when no cigarette is inserted into the heated non-combustible smoker, causing the heating device to start heating, the heating device will be in a dry-burning state. This not only wastes the energy of the smoker, but may also damage the heating components, reduce the lifespan of the smoker, and even pose a safety hazard. Summary of the Invention

[0004] This application provides an aerosol generating device and a detection method thereof, aiming to solve the problem of how to perform dry burning detection on the aerosol generating device.

[0005] A first aspect of this application provides a method for detecting an aerosol generating device, the aerosol generating device including a heating device for heating an atomized solid aerosol generating product, the method comprising:

[0006] Obtain the energy consumption curve of the heating device within a preset time period;

[0007] Calculate the energy difference at each sampling time based on the energy consumption curve and the preset energy consumption curve;

[0008] Dry burning detection is performed based on the energy difference at each sampling time.

[0009] The sampling time is determined based on the preset time and preset sampling frequency, and the preset energy consumption curve is the energy consumption curve of the heating device when the aerosol generating device contains the solid aerosol generating product.

[0010] In some embodiments, the preset time is less than or equal to the preheating time of the heating device.

[0011] In some embodiments, the preset time range is within the preheating stage of the heating device, and the preheating stage of the heating device is the preheating time. In some embodiments, the dry-burning detection based on the energy difference corresponding to each sampling time includes:

[0012] If the absolute value of the energy difference is positively correlated with the sampling time within the target time, then the heating device is determined to be in a dry-burning state.

[0013] If the absolute value of the energy difference is not positively correlated with the sampling time within the target time, then the heating device is determined to be in normal heating state.

[0014] Specifically, the sampling time corresponding to the absolute value of the energy difference being greater than or equal to a preset threshold is taken as the start time of the target time, and the end time of the target time is equal to the end time of the preset time.

[0015] In some embodiments, the dry-burn detection based on the energy difference corresponding to each sampling time includes:

[0016] The absolute values ​​of the energy differences at each sampling time are fitted into an energy difference curve;

[0017] Dry burning detection is performed based on the energy difference curve.

[0018] In some embodiments, the dry-burning detection based on the energy difference curve includes:

[0019] Determine whether the slope of the energy difference curve is greater than zero within the target time period;

[0020] If so, then the heating device is determined to be in a dry-burning state;

[0021] If not, then the heating device is determined to be in normal heating condition;

[0022] Specifically, the sampling time corresponding to the absolute value of the energy difference being greater than or equal to a preset threshold is taken as the start time of the target time, and the end time of the target time is equal to the end time of the preset time.

[0023] In some embodiments, before fitting the absolute value of the energy difference corresponding to each sampling time into an energy difference curve, the method further includes: filtering the absolute value of the energy difference corresponding to each sampling time.

[0024] In some embodiments, obtaining the energy consumption curve of the heating device over a preset time period includes:

[0025] The voltage and current of the heating device are acquired at unit time intervals within a preset time period;

[0026] Based on the voltage, the current, and the heating duration of the heating device, calculate the measured energy consumed by the heating device at the current moment, where the heating duration is the time from when the heating device starts heating to the current moment;

[0027] Based on the measured energy, the energy consumption curve of the heating device within a preset time period is obtained by fitting.

[0028] In some embodiments, the method further includes: controlling the heating device to stop heating when the heating device is in a dry-burning state.

[0029] A second aspect of this application provides an aerosol generating apparatus, comprising:

[0030] Heating device for heating products generated from atomized solid aerosols;

[0031] At least one processor is connected to the heating device; and

[0032] A memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method described in any embodiment of this application.

[0033] A third aspect of this application provides a computer-readable storage medium storing instructions that, when executed by a processor, implement the methods described in any embodiment of this application.

[0034] A fourth aspect of this application provides a computer program product including a computer program that, when executed by a processor, implements the methods described in any embodiment of this application.

[0035] The technical solution of this application embodiment obtains the energy consumption curve of the heating device within a preset time, calculates the energy difference corresponding to each sampling time based on the energy consumption curve and the preset energy consumption curve, and performs dry burning detection based on the energy difference corresponding to each sampling time, thereby realizing dry burning detection of the aerosol generating device.

[0036] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1This is a flowchart of a method for detecting an aerosol generating device provided in an embodiment of this application;

[0039] Figure 2 yes Figure 1 The step S10 shown is a flowchart illustrating a method.

[0040] Figure 3 This application provides an embodiment of an aerosol generating device with energy consumption curves for the heating device in two states: containing and not containing solid aerosol generating products.

[0041] Figure 4 yes Figure 1 The step S30 shown is a flowchart illustrating a method.

[0042] Figure 5 yes Figure 1 The step S30 shown is a flowchart illustrating a method.

[0043] Figure 6 yes Figure 5 The step S322 shown is a flowchart of a method.

[0044] Figure 7 This is a schematic diagram of the structure of an aerosol generating device that implements an embodiment of this application. Detailed Implementation

[0045] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0046] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0047] Figure 1This is a flowchart of a detection method for an aerosol generating device provided in an embodiment of this application. This embodiment is applicable to the case of dry burning detection of an aerosol generating device in the start-up heating state. The method can be executed by a detection device of the aerosol generating device, which can be implemented in hardware and / or software and can be configured in the aerosol generating device.

[0048] The aerosol generating device includes a heating device, which is used to heat the atomized solid aerosol generating product.

[0049] For example, solid aerosol-generating products include cigarettes.

[0050] A cigarette consists of a filter section and a tobacco section, the latter including an aerosol-forming matrix. The aerosol-forming matrix is ​​a matrix capable of releasing volatile compounds that can form aerosols; these volatile compounds can be released by heating the aerosol-forming matrix.

[0051] like Figure 1 As shown, the method includes:

[0052] S10. Obtain the energy consumption curve of the heating device within a preset time.

[0053] The aerosol generating device starts or stops heating by detecting a trigger signal. The heating device can be a central heating method or a peripheral heating method. The heating device can also heat the aerosol forming matrix to generate inhalable aerosols through one or more of the following methods: heat conduction, electromagnetic induction, chemical change, infrared heating, resonance, photoelectric conversion, and photothermal conversion.

[0054] When the cigarette is inserted into the aerosol generating device, the heating device, powered by the battery, heats the aerosol-forming matrix in the cigarette, raising its temperature to generate aerosol. The generated aerosol is then passed to the user for inhalation through the filter section of the cigarette.

[0055] Even when the cigarette is not inserted into the aerosol generating device, the heating device can still heat the device using power supplied by the battery, thus raising the temperature of the aerosol generating device.

[0056] In both of the above scenarios, the electrical energy provided by the battery is converted into energy consumption for heating by the heating device.

[0057] In the embodiments of this application, the preset time is less than or equal to the preheating time of the heating device.

[0058] The preset time is the time for dry burning testing. The aerosol generating device includes a preheating stage and a suction stage, with the preheating stage time being the preheating time of the heating device.

[0059] Based on the above, the preset time range is within the preheating stage of the heating device.

[0060] like Figure 3 As shown in the dry-burning energy consumption curve, the energy consumption of the heating device gradually increases with time when no solid aerosol generating product is contained. Therefore, by setting the preset time to be less than or equal to the preheating time of the heating device, the dry-burning test can be completed in a shorter time. Furthermore, setting the preset time within the preheating stage of the heating device allows the dry-burning test to be completed within this stage, avoiding energy waste during the suction stage, which could potentially damage the heating components, reduce the lifespan of the smoke set, or even pose safety hazards.

[0061] In one example, such as Figure 2 As shown, the energy consumption curve of the heating device within a preset time period is obtained, including:

[0062] S11. Obtain the voltage and current of the heating device at preset time intervals.

[0063] The preset time can be set to a floating range. The floating range of the preset time still satisfies that it is less than or equal to the preheating time of the heating device. This allows the embodiments of this application to obtain the voltage and current of the heating device at unit time intervals within a time range slightly less than the preset time, or at unit time intervals within a time range slightly greater than the preset time.

[0064] By setting an appropriate floating range, the accuracy of dry burning detection can be increased, and problems such as energy waste caused by dry burning can be avoided.

[0065] It is understandable that setting an appropriate floating range may result in the preset time being slightly longer than the preheating time of the heating device.

[0066] In one example, the unit time can be determined based on the sampling frequency of the sensor of the aerosol generating device, which detects the voltage and current of the heating device based on its sampling frequency.

[0067] In one example, the unit time can be determined based on the operating frequency of the detection chip of the aerosol generating device, which detects the voltage and current of the heating device based on its operating frequency.

[0068] In one example, the unit time can be preset according to actual needs. For example, if the unit time is set to 1 second in the controller of the aerosol generating device, the controller will acquire the voltage and current of the heating device every 1 second.

[0069] S12. Based on the voltage, current and heating duration of the heating device, calculate the measured energy consumed by the heating device at the current moment. The heating duration is the time from when the heating device starts heating to the current moment.

[0070] Assuming the heating device starts heating at the initial time T0, and the current time T1 is 5 seconds, then the heating duration T = T1 - T0 = 5 seconds. Therefore, the measured energy Q consumed by the heating device at the current time is Q = U * I * T, where U is the voltage of the heating device at the current time, and I is the current of the heating device at the current time.

[0071] That is, within a preset time period, the energy consumed by the heating device at the current moment is calculated at each unit time interval.

[0072] S13. Based on the measured energy, the energy consumption curve of the heating device within a preset time is obtained by fitting.

[0073] As mentioned above, the measured energy consumed by the heating device at several current moments within a preset time period is obtained. Based on the measured energy consumed by the heating device at several current moments within a preset time period, the energy consumption curve of the heating device within the preset time period is fitted.

[0074] S20. Calculate the energy difference at each sampling time based on the energy consumption curve and the preset energy consumption curve.

[0075] The sampling time is determined based on a preset time and a preset sampling frequency. The preset energy consumption curve is the energy consumption curve of the heating device when the aerosol generating device contains solid aerosol products.

[0076] Several sampling points are obtained based on a preset time and a preset sampling frequency. The time corresponding to each sampling point is the sampling time. It can be seen that the higher the preset sampling frequency and the more sampling times, the higher the accuracy of dry burning detection.

[0077] At each sampling time, the energy consumption curve corresponds to a measured energy Q1, and the preset energy consumption curve corresponds to a preset energy Q2. The energy difference between the energy consumption curve and the preset energy consumption curve is ΔQ = Q2 - Q1.

[0078] In summary, by setting an appropriate unit time, the accuracy of the energy consumption curve can be improved. Then, by calculating the energy difference at each sampling time through the energy consumption curve and the preset energy consumption curve, the preset sampling frequency can be set so that the energy consumption curve can complete multiple dry-burning tests. This means that multiple dry-burning tests can be completed for a single heating process within a preset time, improving the flexibility and accuracy of dry-burning detection.

[0079] In one example, step S10 includes: acquiring the measured energy of the heating device at each sampling moment within a preset time. Adaptively, step S20 includes: calculating the energy difference at each sampling moment based on the measured energy of the heating device at each sampling moment within the preset time and a preset energy consumption curve.

[0080] Specifically, the sampling times of the heating device within a preset time are obtained according to the preset sampling frequency. When a certain sampling time is reached, the measured energy of the heating device at the current time and the preset energy of the preset energy consumption curve at the current time are obtained, and the energy difference at the current time is calculated. The sampling times are traversed, and the energy difference at each sampling time is calculated.

[0081] S30. Perform dry burning detection based on the energy difference corresponding to each sampling time.

[0082] Conduct several experiments, such as Figure 3 As shown, the preset energy consumption curve of the heating device of the aerosol generating device when it contains solid aerosol generating products and the dry-burning energy consumption curve of the heating device when it does not contain solid aerosol generating products are obtained. The horizontal axis of the preset energy consumption curve and the vertical axis of the dry-burning energy consumption curve represent time, and the vertical axis represents the energy consumption value.

[0083] It should be noted that during the experiment to obtain the preset energy consumption curve and the dry-burning energy consumption curve, other variables remained consistent, such as the model of the aerosol generating device, the heating power of the heating device, the suction intensity, and the suction time.

[0084] By comparing the preset energy consumption curve and the dry-burning energy consumption curve, it was found that from a certain moment, the difference between the two energy consumption curves gradually increased with the increase of time. That is, from a certain moment, with the increase of time, the energy consumption difference of the heating device gradually increased in the two states of the aerosol generating device: the state in which solid aerosol generating products were contained and the state in which no solid aerosol generating products were contained.

[0085] In one example, dry-burn detection is performed based on the energy difference corresponding to each sampling time. This includes: if the absolute value of the energy difference is positively correlated with the sampling time within the target time, the heating device is determined to be in a dry-burning state; if the absolute value of the energy difference is not positively correlated with the sampling time within the target time, the heating device is determined to be in a normal heating state. Specifically, the sampling time corresponding to an absolute value of the energy difference greater than or equal to a preset threshold is used as the start time of the target time, and the end time of the target time is equal to the end time of the preset time.

[0086] To avoid the influence of environmental or accidental factors, this application embodiment uses the absolute value of the energy difference for judgment.

[0087] During a short period of time after the aerosol generating device starts heating, the energy consumption of the aerosol generating device is close to or equal to that of the two states: when it contains solid aerosol generating products and when it does not contain solid aerosol generating products. That is, the energy difference between the two states is less than a preset threshold or equal to 0.

[0088] according to Figure 3 It can be seen that when the energy difference between the state in which the aerosol generating device contains solid aerosol generating products and the state in which it does not contain solid aerosol generating products is greater than or equal to a preset threshold, the difference between the two states in which the aerosol generating device contains solid aerosol generating products and the state in which it does not contain solid aerosol generating products gradually becomes obvious and has a positive correlation.

[0089] In one example, if the number of sampling times in which the absolute value of the energy difference does not have a positive correlation with the sampling time within the target time is greater than 1% of the total number of sampling times, then it is determined that the energy difference and the sampling time do not have a positive correlation within the target time.

[0090] Taking a target time with 20 sampling moments as an example, 1% of the total number of sampling moments is considered one. If the number of sampling moments where the absolute value of the energy difference does not have a positive correlation with the sampling moment within the target time is 2, then the number of sampling moments where the absolute value of the energy difference does not have a positive correlation with the sampling moment within the target time is greater than 1% of the total number of sampling moments. Therefore, it is determined that the energy difference and the sampling moment do not have a positive correlation within the target time. It can be understood that the percentage of the total number of sampling moments can be selected according to actual needs.

[0091] For example, such as Figure 4 As shown, the controller of the aerosol generating device performs dry-burn detection based on the energy difference corresponding to each sampling time, including:

[0092] S311. Determine whether the absolute value of the energy difference is positively correlated with the sampling time within the target time.

[0093] S312. If so, confirm that the heating device is in a dry-burning state.

[0094] S313. If not, confirm that the heating device is in normal heating state.

[0095] As mentioned earlier, the positive correlation between the absolute value of the energy difference and the sampling time within the target time corresponds to the heating device being in a dry-burning state. Therefore, if the absolute value of the energy difference and the sampling time within the target time are positively correlated, it can be determined that the heating device is in a dry-burning state. Conversely, if the absolute value of the energy difference and the sampling time within the target time are not positively correlated, it can be determined that the heating device is in a normal heating state.

[0096] In one example, before determining whether the absolute value of the energy difference is positively correlated with the sampling time within the target time, step S30 further includes: determining the target time.

[0097] One example of determining the target time is as follows: Based on the operating parameters of the aerosol generating device, a preset threshold is adjusted, and the sampling time corresponding to the absolute value of the energy difference being greater than or equal to the preset threshold is taken as the start time of the target time, and the end time of the target time is equal to the end time of the preset time, thereby determining the target time. For example, the operating parameters may include ambient temperature, smoke intensity, or parameters of the solid aerosol generating product, etc.

[0098] In one example, such as Figure 5 As shown, dry burning detection is performed based on the energy difference at each sampling time, including:

[0099] S321. Fit the absolute value of the energy difference at each sampling time to an energy difference curve.

[0100] By using a pre-defined fitting algorithm, the absolute value of the energy difference at each sampling time can be fitted into an energy difference curve.

[0101] S322. Dry burning detection based on energy difference curve.

[0102] Step S322 can be adopted as follows: Figure 6 The method shown is implemented as follows:

[0103] S3221. Determine whether the slope of the energy difference curve is greater than zero within the target time.

[0104] S3222. If so, confirm that the heating device is in a dry-burning state.

[0105] S3223. If not, confirm that the heating device is in normal heating state.

[0106] Whether the slope of the energy difference curve within the target time is greater than zero indicates that the absolute value of the energy difference is positively correlated with the sampling time within the target time. Since the positive correlation between the absolute value of the energy difference and the sampling time within the target time corresponds to the heating device being in a dry-burning state, the slope of the energy difference curve within the target time can be used to determine whether the heating device is in a dry-burning state or a normal heating state.

[0107] In one example, before fitting the absolute values ​​of the energy differences at each sampling time to an energy difference curve, dry-burning detection is performed based on the energy differences at each sampling time. This also includes filtering the absolute values ​​of the energy differences at each sampling time. Before fitting the absolute values ​​of the energy differences at each sampling time to an energy difference curve, the absolute values ​​of energy differences that deviate significantly from the energy difference curve are filtered to eliminate interference and make the energy difference curve more realistic.

[0108] In one example, the method further includes controlling the heating device to stop heating when the heating device is in a dry-burning state.

[0109] For example, when it is determined that the heating device is in a dry-burning state, the controller of the aerosol generating device controls the heating device to stop heating by turning off the power circuit and the connection between the heating device and the power supply.

[0110] In one example, the method further includes controlling an activation prompt circuit when the heating device is in a dry-burning state to alert the user to the status of the aerosol generating device.

[0111] For example, the prompting circuit includes an LED display circuit and an alarm circuit. When the heating device is in a dry-burning state, the LED display circuit and the alarm circuit are activated, so that the LED display circuit flashes according to a preset pattern, and the alarm circuit broadcasts a preset voice prompt to remind the user that the aerosol generating device is in a dry-burning state and requires manual inspection and intervention.

[0112] The technical solution of this application embodiment obtains the energy consumption curve of the heating device within a preset time, calculates the energy difference corresponding to each sampling time based on the energy consumption curve and the preset energy consumption curve, and performs dry burning detection based on the energy difference corresponding to each sampling time, thereby realizing dry burning detection of the aerosol generating device.

[0113] It should be understood that the various processes shown in the embodiments of this application can be reordered, and steps can be added or deleted. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0114] Please see Figure 7 , Figure 7 This is a schematic diagram of an aerosol generating apparatus according to an embodiment of this application. The aerosol generating apparatus includes a heating device 71, at least one processor 72, and a memory 73 communicatively connected to the at least one processor 72. The heating device 71 is used to heat the atomized solid aerosol generating article, and the at least one processor 72 is connected to the heating device 71.

[0115] At least one processor 72 and memory 73 can be connected in communication via a bus. Figure 7 The following description uses a processor 72 and a memory 73 as examples.

[0116] Processor 72 is configured to support the aerosol generating apparatus in performing the corresponding functions in the methods described in the above method embodiments. The processor may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The aforementioned hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0117] Memory 73 is used to store program code, etc. Memory may include volatile memory (VM), such as random access memory (RAM); memory may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); memory may also include combinations of the above types of memory.

[0118] The memory 73 can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the detection method of the aerosol generating device in the embodiments of this application. The processor 72 executes various functional applications and data processing of the detection method of the aerosol generating device by running the non-volatile software programs, instructions, and modules stored in the memory 73, that is, it realizes the functions of each module or unit of the detection method of the aerosol generating device provided in the above method embodiments.

[0119] The memory 73 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function. The data storage area may store data created based on the use of the aerosol generating apparatus. In some embodiments, the memory 73 may optionally include remotely located memories 73 relative to the processor 72, which can be connected to the aerosol generating apparatus via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0120] The one or more modules are stored in the memory 73. When executed by the one or more processors 72, they perform the detection method of the aerosol generation device in any of the above method embodiments. For example, they perform the method steps described in the above method embodiments to realize the functions of the modules described in the above device embodiments.

[0121] This application also provides a computer-readable storage medium storing computer instructions for causing a processor 72 to execute the detection method of the aerosol generating apparatus provided in the above method embodiments.

[0122] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0123] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the detection method of the aerosol generating apparatus according to any embodiment of this application.

[0124] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for detecting an aerosol generating device, wherein the aerosol generating device includes a heating device for heating an atomized solid aerosol generating product, characterized in that, The method includes: Obtain the energy consumption curve of the heating device within a preset time period; Calculate the energy difference at each sampling time based on the energy consumption curve and the preset energy consumption curve; Dry burning detection is performed based on the energy difference at each sampling time. The sampling time is determined based on the preset time and preset sampling frequency, and the preset energy consumption curve is the energy consumption curve of the heating device when the aerosol generating device contains the solid aerosol generating product.

2. The detection method according to claim 1, characterized in that, The preset time is less than or equal to the preheating time of the heating device.

3. The detection method according to claim 2, characterized in that, The preset time range is within the preheating stage of the heating device, and the preheating stage of the heating device is the preheating time.

4. The detection method according to claim 1, characterized in that, The dry-burn detection based on the energy difference at each sampling time includes: If the absolute value of the energy difference is positively correlated with the sampling time within the target time, then the heating device is determined to be in a dry-burning state. If the absolute value of the energy difference is not positively correlated with the sampling time within the target time, then the heating device is determined to be in normal heating state. Specifically, the sampling time corresponding to the absolute value of the energy difference being greater than or equal to a preset threshold is taken as the start time of the target time, and the end time of the target time is equal to the end time of the preset time.

5. The detection method according to claim 1, characterized in that, The dry-burn detection based on the energy difference at each sampling time includes: The absolute values ​​of the energy differences at each sampling time are fitted into an energy difference curve; Dry burning detection was performed based on the energy difference curve.

6. The detection method according to claim 5, characterized in that, The dry-burning detection based on the energy difference curve includes: Determine whether the slope of the energy difference curve is greater than zero within the target time period; If so, then the heating device is determined to be in a dry-burning state; If not, then the heating device is determined to be in normal heating state; Specifically, the sampling time corresponding to the absolute value of the energy difference being greater than or equal to a preset threshold is taken as the start time of the target time, and the end time of the target time is equal to the end time of the preset time.

7. The detection method according to claim 5, characterized in that, Before fitting the absolute value of the energy difference corresponding to each sampling time into an energy difference curve, the method further includes: filtering the absolute value of the energy difference corresponding to each sampling time.

8. The detection method according to claim 1, characterized in that, The step of obtaining the energy consumption curve of the heating device within a preset time period includes: The voltage and current of the heating device are acquired at preset time intervals; Based on the voltage, the current, and the heating duration of the heating device, calculate the measured energy consumed by the heating device at the current moment, where the heating duration is the time from when the heating device starts heating to the current moment; Based on the measured energy, the energy consumption curve of the heating device within a preset time period is obtained by fitting.

9. The detection method according to any one of claims 1-8, characterized in that, The method further includes: when the heating device is in a dry-burning state, controlling the heating device to stop heating.

10. An aerosol generating device, characterized in that, include: Heating device for heating products generated from atomized solid aerosols; At least one processor is connected to the heating device; as well as A memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 1-8.

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