Oil-free judgment method, oil-free judgment device, electronic atomization equipment and storage medium

By detecting the temperature fluctuations, mean and frequency of the electronic cigarette heating body and performing weighted calculations, the problem that it is difficult for electronic cigarettes to accurately judge the oil-free state after the e-liquid is exhausted, and the accurate judgment of the oil-free state is achieved, and dry burning is avoided.

CN120188935APending Publication Date: 2025-06-24SHENZHEN YOUME NETWORK TECH CO LTD
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Patent Information

Application Number
CN202311778968.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-21
Publication Date
2025-06-24

AI Technical Summary

Technical Problem

In the prior art, it is difficult to accurately determine the oil-free state after the e-cigarette is exhausted, which can easily lead to misjudgment and thus cause dry fever.

Method used

By detecting the temperature fluctuation, temperature mean value and frequency of the heating element whose temperature is greater than the third preset value, weighting factors are assigned respectively, and the weighting calculation is used to determine whether the oil quantity is insufficient.

Benefits of technology

Accurate judgment of the oil-free state of electronic atomization equipment is achieved, and dry burning is avoided due to misjudgment.

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Abstract

The invention discloses an oil-free judgment method, an oil-free judgment device, electronic atomization equipment and a storage medium. The oil-free judgment method comprises the following steps: detecting whether the temperature fluctuation of a heating body in a preset time period is greater than a first preset value or not, if so, recording a first weighting factor of the detection as a, and if not, recording the first weighting factor as 0; detecting whether the average temperature value of the heating body in the preset time period is greater than a second preset value, if so, recording a second weighting factor of the detection as b, and if not, recording the second weighting factor as 0; detecting whether the frequency at which the temperature of the heating body is greater than a third preset value in the preset time period is greater than a frequency threshold value, if so, recording a third weighting factor of the detection as c, and if not, recording the third weighting factor as 0; summing the first weighting factor, the second weighting factor and the third weighting factor by S, and if the number of times that the sum S is greater than a threshold value is greater than N, judging that the oil quantity is insufficient. According to the oil-free judgment method, the oil-free state can be accurately judged.
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Description

Technical Field

[0001] The present application relates to the technical field of electronic atomization, and particularly relates to an oil-free judgment method, an oil-free judgment device, an electronic atomization device, and a storage medium. Background Art

[0002] When the e-liquid of an e-cigarette is exhausted during use, dry burning will occur. Therefore, it is necessary to accurately identify the oil-free state when the e-liquid is exhausted and stop heating in time to prevent dry burning. In the prior art, preventing dry burning is mostly achieved by monitoring the temperature of the heating element. When it is found that the temperature of the heating element exceeds the upper limit value, it is determined as dry burning. This judgment method is prone to misjudgment in the case of insufficient or abnormal e-liquid supply of the e-cigarette. Summary of the Invention

[0003] The present application provides an oil-free judgment method, an oil-free judgment device, an electronic atomization device, and a storage medium that can accurately judge the oil-free state.

[0004] To achieve the above object, the following technical solutions are provided:

[0005] An oil-free judgment method applied to an electronic atomization device includes the following steps:

[0006] Detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0.

[0007] Detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0.

[0008] Detect whether the frequency of the temperature of the heating element being greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0.

[0009] Sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the oil volume is insufficient.

[0010] In some embodiments, in the step of detecting whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value, if so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0, the temperature fluctuation includes the range or the standard deviation.

[0011] In some embodiments, detecting whether the temperature fluctuation of the heating element within a predetermined period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0, including:

[0012] Within a predetermined time, the temperature of the heating element is detected at regular intervals, and it is statistically determined whether the difference between the maximum value and the minimum value among the detected temperatures is greater than the first preset value;

[0013] If the difference between the maximum value and the minimum value is greater than the first preset value, the first weighting factor for this detection is denoted as a; if the difference between the maximum value and the minimum value is less than the first preset value, the first weighting factor for this detection is denoted as 0.

[0014] In some embodiments, there are multiple third preset values, and the multiple third preset values are not equal.

[0015] In some embodiments, detecting whether the frequency of the temperature of the heating element being greater than a third preset value within the predetermined period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0, including:

[0016] Within a predetermined time, the temperature of the heating element is detected at regular intervals, and the frequencies FM of the detected temperatures being greater than the third preset value M, FN of being greater than the third preset value N, and FZ of being greater than the third preset value Z are statistically determined;

[0017] If FM reaches its threshold, FN reaches its threshold, and FZ reaches its threshold, the third weighting factor for this detection is denoted as c; otherwise, the third weighting factor for this detection is denoted as 0.

[0018] In some embodiments, the temperature of the heating element is obtained by detecting the resistance value of a thermistor in the electronic atomization device.

[0019] In some embodiments, the first weighting factor is 20%; and / or

[0020] the second weighting factor is 40%; and / or

[0021] the third weighting factor is 40%; and / or

[0022] The threshold of the sum S of the first weighting factor, the second weighting factor, and the third weighting factor is 100% or 80%.

[0023] An oil-free judgment device, applied to an electronic atomization device, includes:

[0024] The first detection module is used to detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0.

[0025] The second detection module is used to detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0.

[0026] The third detection module is used to detect whether the frequency at which the temperature of the heating element is greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0.

[0027] The calculation and judgment module is used to sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the oil level is insufficient.

[0028] An electronic atomization device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the above-mentioned oil-free judgment method is implemented.

[0029] A computer-readable storage medium stores a computer program thereon, and when the program is executed by a processor, the above-mentioned oil-free judgment method is implemented.

[0030] The oil-free judgment method of the embodiment of the present application comprehensively considers the temperature fluctuation, the average temperature, and the frequency at which the temperature is greater than the third preset value of the heating element, and then performs weighted calculation to determine whether the electronic atomization device is out of oil. The present application can accurately determine whether the electronic atomization device is in an oil-free state. Description of the Drawings

[0031] Figure 1 It is a schematic flowchart of the oil-free judgment method in an embodiment of the present application;

[0032] Figure 2 It is a schematic flowchart of the specific steps of step S100 in an embodiment of the present application;

[0033] Figure 3 It is a schematic flowchart of the specific steps of step S300 in an embodiment of the present application. Detailed Embodiment

[0034] The following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but merely represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts fall within the scope of protection of the present application.

[0035] This embodiment discloses an oil-free judgment method. Figure 1 It is a flowchart of the oil-free judgment method in an embodiment of the present application. The oil-free judgment method in this embodiment is applied to an electronic cigarette, and of course, it can also be applied to other electronic atomization devices. As Figure 1 shown, the oil-free judgment method of the embodiment of the present application includes the following steps:

[0036] S100. Detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0.

[0037] Specifically, that is to say, in step S100, the temperature fluctuation of the heating element is used as a judgment condition for whether the electronic cigarette has oil. If the temperature fluctuation is too large, a certain weighting value (the first weighting factor) is given to the temperature fluctuation and included in the judgment of being oil-free. If the temperature fluctuation is not large, the weighting value is 0. The first weighting factor is finally used in the calculation of judging whether there is oil. In step S100, 0 < a < 100%. The value of a can be specifically selected according to the weight of the temperature fluctuation in judging whether there is no oil.

[0038] The heating element is the heating component in the electronic cigarette, such as a heating wire.

[0039] In one embodiment, the temperature fluctuation in step S100 includes the range or standard deviation. That is to say, it can be determined whether the temperature fluctuation is large by judging whether the range of the temperature of the heating element within a predetermined time period is greater than the first preset value, or it can also be determined whether the temperature fluctuation is large by judging whether the standard deviation of the temperature of the heating element within a predetermined time period is greater than the first preset value.

[0040] In one embodiment, the temperature fluctuation includes the range. As Figure 2 shown, step S100 specifically includes:

[0041] S110. Within a predetermined time, detect the temperature of the heating element at regular intervals, and count whether the difference between the maximum value and the minimum value of the detected temperatures is greater than the first preset value;

[0042] S120. If the difference between the maximum value and the minimum value is greater than the first preset value, the first weighting factor for this detection is denoted as a; if the difference between the maximum value and the minimum value is less than the first preset value, the first weighting factor for this detection is denoted as 0.

[0043] Specifically, the difference between the maximum value and the minimum value of the temperature of the heating element in step S110 is the extreme difference mentioned above. In step S110, the temperature fluctuation of the heating element is judged by the extreme difference.

[0044] In one embodiment, step S100 specifically includes:

[0045] The software samples the instantaneous temperature of the heating element every 3 - 7 ms within a time period of 350 ms to 650 ms. X can be the extreme difference. Let the threshold of the extreme difference X be X 阈 = 10°C. Suppose the maximum value of the instantaneous temperature of the heating element collected by the software within this time period is 230°C and the minimum value is 210°C. Then the extreme difference X is: 230 - 210 = 20°C, which is obviously greater than X 阈 (10°C). Therefore, it can be considered that this condition takes effect. Let the weighted factor for taking effect be a, and 0 if it does not take effect. Similarly, the standard deviation is also similar.

[0046] The instantaneous temperature of the heating element can be detected by a thermistor, specifically by detecting the resistance value of the thermistor to determine it. After sampling the resistance value of the thermistor, the temperature value is obtained through the mapping relationship between the thermistor and the temperature.

[0047] As Figure 1 shown, the oil - free judgment method of the embodiment of the present application further includes the step:

[0048] S200, detecting whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighted factor of this detection is denoted as b, and if not, the second weighted factor of this detection is denoted as 0.

[0049] Specifically, within a time period of 350 ms to 650 ms, the instantaneous temperature of the heating element is sampled every 3 - 7 ms. After calculating the average value of the sampled temperature data, the average value Y is obtained. Set a threshold Y of the average temperature Y 阈 (i.e., the second preset value). Suppose the threshold Y of the average temperature 阈 is 220°C. If the calculated average value Y is 230°C, and the average value Y 230°C > the threshold Y 阈 (220°C), it can be considered that the temperature is collectively on the high side. Therefore, this condition takes effect, and the weighted factor (the second weighted factor) is b, and 0 if it does not take effect. 0 < b < 100%.

[0050] As Figure 1 shown, the oil - free judgment method of the embodiment of the present application further includes the step:

[0051] S300. Detect whether the frequency that the temperature of the heating element is greater than the third preset value within the predetermined time period is greater than the frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0.

[0052] Specifically, detecting the frequency that the temperature of the heating element is greater than the third preset value within the predetermined time period can reflect whether the temperature of the heating element is frequently too high, thereby serving as a criterion for judging the oil-free situation. In step S300, 0 < c < 100%.

[0053] In one embodiment, in step S300, there are multiple third preset values, and the multiple third preset values are not equal.

[0054] Specifically, by setting three different third preset values and respectively counting the frequencies that the temperature of the heating element is greater than these three preset values within the predetermined time period, the oil-free state can be judged more accurately.

[0055] In one embodiment, as Figure 3 shown, step S300 includes:

[0056] S310. Within the predetermined time, detect the temperature of the heating element at intervals of a certain period of time, and count the frequency FM that the detected temperature is greater than the third preset value M, the frequency FN that is greater than the third preset value N, and the frequency FZ that is greater than the third preset value Z;

[0057] S320. If FM reaches its threshold, FN reaches its threshold, and FZ reaches its threshold, then the third weighting factor for this detection is denoted as c; otherwise, the third weighting factor for this detection is denoted as 0.

[0058] Specifically, within a time period of 350 ms to 650 ms, sample the instantaneous temperature of the heating element every 3 ms to 7 ms, analyze the sampled data. The number of times the temperature is greater than M divided by the total number of temperature data is the frequency FM that the temperature is greater than M, the number of times the temperature is greater than N divided by the total number of temperature data is the frequency FN that the temperature is greater than N, and the number of times the temperature is greater than Z divided by the total number of temperature data is the frequency FZ that the temperature is greater than Z. If the frequencies FZ, FN, and VZ are all greater than the thresholds of the respective frequencies pre-stored in the MCU storage unit, it can be determined that this condition takes effect, and the weighting factor (the third weighting factor) is c; if it does not take effect, the weighting factor is 0.

[0059] As Figure 1 shown, the oil-free judgment method of the embodiment of the present application further includes the step:

[0060] S400. Sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times that the sum S is greater than its threshold is greater than N, it is determined that the oil quantity is insufficient.

[0061] Specifically, by summing the first weighting factor, the second weighting factor, and the third weighting factor to obtain S for determining whether there is insufficient fuel, the three factors of temperature fluctuation in step S100, the average temperature in step S200, and the frequency of overheating in step S300 can be comprehensively considered, and the judgment result is more accurate. At the same time, it only takes effect when the number of times that the sum S is greater than its threshold value is greater than N times, and the judgment is more precise. In one embodiment, N = 5. Further, if the sum S is continuously greater than its threshold value for N = 5 times, it can be determined that there is no fuel. If it is not continuous and any one of the 5 times does not meet the condition that the sum S in step D is greater than its threshold value, it cannot be determined that there is no fuel, and the re - clear count is 0 and the re - counting starts again.

[0062] In one embodiment, the first weighting factor is 15% - 25%. The second weighting factor is 35% - 45%. The third weighting factor is 35% - 45%. The threshold value of the sum S of the first weighting factor, the second weighting factor, and the third weighting factor is 80% - 100%.

[0063] In a specific embodiment, the first weighting factor is 20%. The second weighting factor is 40%. The third weighting factor is 40%. The threshold value of the sum S of the first weighting factor, the second weighting factor, and the third weighting factor is 100% or 80%.

[0064] In a specific embodiment of the present application, the method for judging no fuel includes the following process:

[0065] A. The software collects the maximum temperature of the heating wire within a certain 500 - ms time period as 230°C and the minimum temperature as 210°C. The extreme - value difference X is: 230 - 210 = 20°C. Set the threshold value X of the extreme - value difference X 阈为 to 10°C. Obviously, the extreme - value difference X (20°C) is greater than the extreme - value difference threshold X 阈 (10°C). Therefore, it can be considered that this condition takes effect, and the weighting factor (the first weighting factor) for taking effect is 20%, and the weighting factor is 0% if it does not take effect; similarly, the standard deviation is also similar;

[0066] B. The software samples the instantaneous temperature of the heating wire every 5 ms within a certain 500 - ms time period (the temperature of the heating wire is measured through the mapping relationship between the thermistor and the heating wire temperature. After sampling the resistance value of the thermistor, the temperature value of the heating wire is obtained through the mapping mathematical relationship). The average value Y of the 100 (500 ms / 5 ms) sampled temperature data is calculated to be 230°C. Set a threshold value Y of the temperature average value Y 阈 (i.e., the second preset value), Y 阈 is 220°C; the temperature average value Y (230°C) > the threshold value Y 阈 (220°C). The temperature of the group is relatively high. Therefore, this condition takes effect, and the weighting factor (the second weighting factor) is 40%, and the weighting factor is 0% if it does not take effect;

[0067] C. The software samples the instantaneous temperature of the heating wire every 5 ms within a certain 500 - ms time period (the temperature of the heating wire is measured through the mapping relationship between the thermistor and the heating - wire temperature. After sampling the resistance value of the thermistor, the temperature value of the heating wire is obtained through the mapped mathematical relationship); analyze the 100 (500 ms / 5 ms) temperature data sampled. The frequency FM at which the temperature is greater than M = 210 °C is obtained by dividing the number of times the temperature is greater than M = 210 °C by the total number of temperature data (100); the frequency FN at which the temperature is greater than N = 220 °C is obtained by dividing the number of times the temperature is greater than N = 220 °C by the total number of temperature data (100). The frequencies are greater than the pre - stored thresholds VM = 15%, VN = 10%, and VZ = 5% in the MCU storage unit. It can be determined that this condition takes effect, and the weighting factor (the third weighting factor) is 40%, and if it does not take effect, it is 0%;

[0068] D. When the cumulative weighting factors in steps A, B, and C are equal to a certain value, such as 100% or 80%, it is considered that this time takes effect; in step A, the first weighting factor is 20%, the second weighting factor is 40%, and in step C, the third weighting factor is 40%, and the sum is 100%, so this time takes effect; if it takes effect continuously for N = 5 times, it can be determined that there is no oil. If it is not continuous, and any one of the 5 times does not meet the conditions in step D, it cannot be determined that there is no oil, and the re - set count is 0 and re - counted.

[0069] In one embodiment, an oil - free judgment device is provided, including:

[0070] A first detection module, configured to detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor of this detection is denoted as a; if not, the first weighting factor of this detection is denoted as 0; specifically as described in the above oil - free judgment method;

[0071] A second detection module, configured to detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor of this detection is denoted as b; if not, the second weighting factor of this detection is denoted as 0; specifically as described in the above oil - free judgment method;

[0072] A third detection module, configured to detect whether the frequency at which the temperature of the heating element is greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor of this detection is denoted as c; if not, the third weighting factor of this detection is denoted as 0; specifically as described in the above oil - free judgment method;

[0073] A calculation and judgment module is used to sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the oil level is insufficient; specifically, as described in the above method for judging no oil.

[0074] In one embodiment, an electronic atomization device is provided. The electronic atomization device includes a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, a method for judging no oil is implemented. The method for judging no oil includes the following steps:

[0075] S100. Detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0.

[0076] S200. Detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0.

[0077] S300. Detect whether the frequency at which the temperature of the heating element is greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0.

[0078] S400. Sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the oil level is insufficient.

[0079] Of course, when the processor of the electronic atomization device provided in the embodiment of the present application executes the computer program, it is not limited to implementing the above method operations, and can also execute relevant operations in the method for judging no oil provided in any embodiment of the present application.

[0080] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, a method for judging no oil is implemented. The method for judging no oil includes the following steps:

[0081] S100. Detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0.

[0082] S200. Detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0.

[0083] S300. Detect whether the frequency that the temperature of the heating element is greater than the third preset value within the predetermined time period is greater than the frequency threshold. If so, record the third weighting factor of this detection as c. If not, record the third weighting factor of this detection as 0;

[0084] S400. Sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, determine that the fuel is insufficient.

[0085] Certainly, for a computer-readable storage medium provided by an embodiment of the present application, when the computer program is executed by a processor, it is not limited to implementing the method operations described above, and can also execute relevant operations in the oil-free judgment method provided by any embodiment of the present application.

[0086] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0087] Note that the above is only a preferred embodiment of the present application and the applied technical principle. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, more other equivalent embodiments can be included, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. An oil-free judgment method, which is applied to an electronic atomization device, and is characterized in that, It includes the following steps: Detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0; Detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0; Detect whether the frequency at which the temperature of the heating element is greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0; Sum up the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the fuel quantity is insufficient.

2. The oil-free judgment method according to claim 1, wherein In the step of detecting whether the temperature fluctuation of the heating element within the predetermined time period is greater than the first preset value, if so, the first weighting factor for this detection is denoted as a, if not, the first weighting factor for this detection is denoted as 0, the temperature fluctuation includes the range or the standard deviation.

3. The oil-free judgment method according to claim 2, wherein The step of detecting whether the temperature fluctuation of the heating element within the predetermined time period is greater than the first preset value, if so, the first weighting factor for this detection is denoted as a, if not, the first weighting factor for this detection is denoted as 0, includes: Within a predetermined time, detect the temperature of the heating element at regular intervals, and count whether the difference between the maximum value and the minimum value among the detected temperatures is greater than the first preset value; If the difference between the maximum value and the minimum value is greater than the first preset value, the first weighting factor for this detection is denoted as a; if the difference between the maximum value and the minimum value is less than the first preset value, the first weighting factor for this detection is denoted as 0.

4. The oil-free judgment method according to claim 1, characterized in that, There are multiple third preset values, and the multiple third preset values are not equal.

5. The oil-free judgment method according to claim 4, characterized in that, The step of detecting whether the frequency at which the temperature of the heating element is greater than the third preset value within the predetermined time period is greater than the frequency threshold, if so, the third weighting factor for this detection is denoted as c, if not, the third weighting factor for this detection is denoted as 0, includes: Within a predetermined time, detect the temperature of the heating element at regular intervals, and count the frequency FM at which the detected temperature is greater than the third preset value M, the frequency FN at which it is greater than the third preset value N, and the frequency FZ at which it is greater than the third preset value Z; If FM reaches its threshold, FN reaches its threshold, and FZ reaches its threshold, the third weighting factor for this detection is denoted as c; otherwise, the third weighting factor for this detection is denoted as 0.

6. The oil-free judgment method according to claim 1, wherein The temperature of the heating element is obtained by detecting the resistance value of the thermistor in the electronic atomization device.

7. The oil-free judgment method according to claim 1, characterized in that, The first weighting factor is 15% - 25%; and / or The second weighting factor is 35% - 45%; and / or The third weighting factor is 35% - 45%; and / or The threshold of the sum S of the first weighting factor, the second weighting factor, and the third weighting factor is 80% - 100%.

8. An oil-free judgment device is applied to an electronic atomization device, and is characterized in that, It includes: A first detection module, configured to detect whether the temperature fluctuation of the heating element within a predetermined time period is greater than a first preset value. If so, the first weighting factor for this detection is denoted as a; if not, the first weighting factor for this detection is denoted as 0; The second detection module is used to detect whether the average temperature of the heating element within the predetermined time period is greater than a second preset value. If so, the second weighting factor for this detection is denoted as b; if not, the second weighting factor for this detection is denoted as 0. The third detection module is used to detect whether the frequency at which the temperature of the heating element is greater than a third preset value within the predetermined time period is greater than a frequency threshold. If so, the third weighting factor for this detection is denoted as c; if not, the third weighting factor for this detection is denoted as 0. The calculation and judgment module is used to sum the first weighting factor, the second weighting factor, and the third weighting factor to obtain S. If the number of times the sum S is greater than its threshold is greater than N, it is determined that the oil quantity is insufficient.

9. An electronic atomization device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the oil-free judgment method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the oil-free judgment method described in any one of claims 1 - 7.