Temperature adjusting method and system for real-time analysis sensor of electronic atomizer

Abstract

The invention relates to the technical field of electric heating control, in particular to an electronic atomizer real-time analysis sensor temperature adjusting method and system, and the method comprises the steps: obtaining the head and tail temperature points of a heating wire in a period, calculating the slope deviation rate, recognizing the inversion of a temperature rise trend, judging whether to delay the turn-off, and judging the path interruption through combining with the heat capacity change. And outputting a current regulation control result. According to the method, the head and tail temperature points of the heating wire in the specified period are obtained, and the periodic temperature rise slope model is established, so that the judgment of the temperature rise trend deviation degree is more accurate, and the real-time identification capability in the temperature rise process is improved through an envelope judgment mode of periodic trend ratio change; and a trend inversion probability reasoning means is combined to construct an inversion judgment sequence of a temperature change direction, so that the system can timely sense a temperature rise abnormal signal. The judgment basis of the delay turn-off is not only derived from the temperature rise trend change, but also considered with the continuous error analysis of the temperature amplification, so that the judgment sensitivity of the heating abnormity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric heating control, and particularly to a method and system for real-time analysis and sensor temperature regulation of an electronic atomizer. Background Art

[0002] The technical field of electric heating control includes technical means for dynamically regulating and managing the process of converting electrical energy into heat energy, and is widely applied in multiple scenarios such as household appliances, industrial equipment, medical devices, and new electronic devices. Its core content mainly involves the material selection of heating elements, power control methods, heat conduction mechanisms, and heat interaction regulation with the external environment.

[0003] Among them, the method for real-time analysis and sensor temperature regulation of an electronic atomizer refers to a control method for detecting and dynamically regulating the temperature change of the heating element in the atomization chamber during the use of the electronic atomizer. By setting temperature detection time nodes to collect sensor temperature data, and determining the temperature change state based on the data change trend at different time nodes, and then combining the deviation between the heating power set value and the actual temperature, the current input intensity is adjusted through a comparison control logic to change the temperature of the heating element.

[0004] The existing technology uses fixed-time-node temperature detection as the control basis, which easily leads to the failure to capture the temperature rise trend fluctuations within the period in time. When the temperature deviation changes significantly in a short period, the existing technology cannot provide an effective trend judgment mechanism, resulting in frequent occurrences of overshoot or insufficient heating. During the temperature change process, only the difference between the actual temperature and the power set value is used for feedback regulation, lacking the discrimination of the change direction of the temperature rise and the delayed response trend, and easily resulting in the problem that the non-linear reaction of the heating wire cannot be corrected in time. In addition, the state of the heat conduction path in the heating chamber is not effectively monitored, and the risk of path interruption caused by heat capacity change lag cannot be identified. For example, after continuous use, the heat conduction is blocked at a certain heat flow node due to carbon deposition or structural aging, which will lead to the distortion of the temperature control feedback information, ultimately affecting the accuracy of the heating wire current regulation and the heating consistency. Summary of the Invention

[0005] The purpose of the present invention is to solve the disadvantages existing in the prior art, and to propose a method and system for real-time analysis and sensor temperature regulation of an electronic atomizer.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A method for real-time analysis and sensor temperature regulation of an electronic atomizer includes the following steps:

[0007] S1: Obtain the temperature points at the beginning and end of a specified period of the heating wire of the electronic atomizer after heating starts, calculate the ratio of the linear fitting slope within the period to the slope at the boundary of the temperature rise interval between the beginning and end temperature points to judge the deviation degree of the temperature rise trend, and obtain the envelope slope deviation rate data;

[0008] S2: Identify the trend reversal by comparing the envelope slope deviation rate data with the temperature rise direction recorded in the slope change of all heating wires, and obtain the trend reversal determination result;

[0009] S3: Monitor the temperature increase difference of the heating wire with reference to the trend reversal determination result, judge the delayed turn-off trigger condition, and generate a delayed turn-off execution instruction;

[0010] S4: Obtain the heat capacity change data of the heat transfer sensing point on the heat diffusion path of the heating chamber of the electronic atomizer, and perform a path interruption determination based on the heat capacity change to obtain the heat capacity path interruption determination result;

[0011] S5: Based on the delayed turn-off execution instruction and the heat capacity path interruption determination result, and combined with the current input parameter of the heating wire of the electronic atomizer, perform adjustment control output to obtain the temperature adjustment result.

[0012] As a further solution of the present invention, the envelope slope deviation rate data includes the slope ratio change amplitude, the deviation direction state, and the periodic trend fitting value. The trend reversal determination result is specifically the reversal state label, the direction change probability, and the trend continuity identifier. The delayed turn-off execution instruction includes the turn-off delay trigger signal, the power-on maintenance flag, and the current cycle control state. The heat capacity path interruption determination result is specifically the path interruption state, the conduction lag identifier, and the node failure position. The temperature adjustment result includes the target current output value, the power adjustment ratio, and the heating state feedback signal.

[0013] As a further solution of the present invention, the steps for obtaining the envelope slope deviation rate data are specifically as follows:

[0014] S111: Obtain the initial temperature point and the end temperature point of the heating wire of the electronic atomizer within a specified period after power-on startup, extract the starting value and the ending value recorded by the temperature sensor, and construct a heating wire temperature rise basic data pair in combination with the corresponding time stamps;

[0015] S112: Calculate the temperature rise change rate within the corresponding period of the heating wire temperature rise basic data pair, perform a linear fitting process on the temperature change trend of each period using the multiple-segment regression algorithm, extract the change rate of each regression curve segment, and establish the relative change state within the temperature rise boundary change interval to obtain the heating wire temperature rise regression slope;

[0016] S113: According to the relative position of the heating wire temperature rise slope and the trend of each state in the temperature rise boundary change interval in adjacent periods, identify the deviation characteristics between the change direction, the fluctuation amplitude, and the boundary within the current period, and generate the envelope slope deviation rate data through the persistence judgment of the trend interval.

[0017] As a further solution of the present invention, the step of obtaining the trend reversal determination result is specifically as follows:

[0018] S211: Call the envelope slope deviation rate data and obtain the change record of the heating slope direction of the heating wire of the electronic atomizer in the previous consecutive cycles. Arrange the slope direction states in the current cycle and the historical cycle in sequence to generate a change sequence of the heating wire heating direction;

[0019] S212: Based on the direction jump state in the change sequence of the heating wire heating direction and the slope deviation direction in the current cycle, extract the direction state of each cycle as a sample variable, and calculate the conditional probability of the occurrence of trend reversal in the current cycle by means of Bayesian discrimination to obtain the heating direction reversal probability feature;

[0020] S213: According to the belonging state of the heating direction reversal probability feature within the set classification boundary, determine whether the current cycle belongs to the trend reversal category, and generate a trend reversal determination result.

[0021] As a further solution of the present invention, the step of obtaining the delayed turn-off execution instruction is specifically as follows:

[0022] S311: Call the trend reversal determination result and obtain the temperature points of the heating wire of the electronic atomizer at the end of the current cycle and the previous cycle to construct a temperature increase sequence of the heating wire in consecutive cycles;

[0023] S312: Based on the temperature increase of each cycle in the temperature increase sequence of the heating wire in consecutive cycles, extract the change amount of the difference between the temperature increase in the current cycle and the lower limit of the heating target range, and combine the error state in the previous cycle to judge the error continuity to obtain the temperature increase error analysis result;

[0024] S313: According to the error state that the lower limit of the heating target is not reached in both cycles in the temperature increase error analysis result, and combine the classification label of the trend reversal category in the trend reversal determination result, judge that the delayed turn-off trigger condition is established, and generate a delayed turn-off execution instruction.

[0025] As a further solution of the present invention, the step of obtaining the heat capacity path interruption determination result is specifically as follows:

[0026] S411: Obtain the heat capacities of multiple heat transfer sensing points arranged along the heat conduction path of the heating chamber of the electronic atomizer in the current cycle and the previous cycle, extract the numerical combinations of adjacent sensing points in the two cycles in sequence to construct a heat capacity change sequence of the heat transfer sensing points;

[0027] S412: Based on the heat capacity change between any adjacent sensing points in the heat transfer sensing point heat capacity change sequence, extract the conduction direction between each pair of sensing points and determine whether a reverse change occurs, screen the combination of sensing point positions with directional reversal, and obtain the heat capacity conduction reverse change record;

[0028] S413: According to the position where reverse conduction occurs in the heat capacity conduction reverse change record, compare the temperature increase state of the sensing points behind the target position in the current cycle. If the temperature rise of the sensing point shows a lag change compared to the previous cycle, confirm that there is a continuity interruption in the heat conduction path, and generate a heat capacity path interruption determination result.

[0029] As a further solution of the present invention, the steps for obtaining the temperature adjustment result are specifically as follows:

[0030] S511: Invoke the delayed turn-off execution instruction and the heat capacity path interruption determination result, and obtain the target current and real-time input current of the heating wire of the electronic atomizer in the current cycle, and generate the heating wire cycle current control input data;

[0031] S512: Based on the current in the heating wire cycle current control input data and the status of the delayed turn-off execution instruction, determine whether the delayed turn-off is in an active state. If it is active, keep the current input unchanged, record the power-on delay information corresponding to the target state, and obtain the delayed power-on state;

[0032] S513: According to the delayed power-on state and the path interruption state in the heat capacity path interruption determination result, if the interruption state is established, adjust the real-time input current to the target ratio range, and update the input power state of the heating wire in the current cycle, and generate the temperature adjustment result.

[0033] An electronic atomizer real-time analysis sensor temperature adjustment system, the electronic atomizer real-time analysis sensor temperature adjustment system is used to execute the above-mentioned electronic atomizer real-time analysis sensor temperature adjustment method, and the system includes:

[0034] The temperature rise trend deviation analysis module obtains the temperature points at the beginning and end of a specified cycle of the heating wire of the electronic atomizer after heating starts, calculates the ratio of the linear fitting slope between the temperature points at the beginning and end in the cycle to the slope of the temperature rise interval boundary to judge the deviation degree of the temperature rise trend, and obtains the envelope slope deviation rate data;

[0035] The trend reversal recognition module performs trend reversal recognition on the envelope slope deviation rate data and the temperature rise direction of all the heating wire slope change records, and obtains the trend reversal determination result;

[0036] The delayed turn-off determination module monitors the temperature increase difference of the heating wire with reference to the trend reversal determination result, judges the delayed turn-off trigger condition, and generates the delayed turn-off execution instruction;

[0037] The heat capacity path integrity monitoring module obtains the heat capacity change data of the heat transfer sensing points on the heat diffusion path of the heating chamber of the electronic atomizer, determines the interruption of the path based on the change in heat capacity, and obtains the determination result of the heat capacity path interruption;

[0038] The current regulation and temperature adjustment execution module performs adjustment control output based on the delayed turn-off execution instruction and the heat capacity path interruption determination result, in combination with the current input parameter of the heating wire of the electronic atomizer, and obtains the temperature adjustment result.

[0039] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0040] In the present invention, by obtaining the head and tail temperature points of the heating wire within a specified period and establishing a periodic temperature rise slope model, the judgment of the temperature rise trend deviation degree is made more accurate. Through the envelope discrimination method of the periodic trend ratio change, the real-time recognition ability during the temperature rise process is improved. Combining the trend reversal probability reasoning means to construct a reversal determination sequence of the temperature change direction enables the system to timely sense the abnormal temperature rise signal. The discrimination basis for delayed turn-off not only comes from the change in the temperature rise trend but also superimposes the continuous error analysis of the temperature increase amplitude, improving the discrimination sensitivity to heating abnormalities. The multi-point heat capacity change monitoring of the heat diffusion path strengthens the recognition of the integrity of the heat conduction path and ensures the closed-loop judgment of the energy conduction chain in the heating structure. Under multi-factor dynamic conditions, the target current and the real-time current are simultaneously collected and compared, and the current input ratio is accurately controlled to adjust the temperature rise, making the heating process have stronger response adaptability, overall improving the dynamic stability of the temperature control system, the fault recognition ability, and the balance efficiency during the temperature rise process, and ensuring that the electronic atomizer can maintain a continuous and stable heating state under various usage conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a schematic diagram of the working process of the present invention;

[0042] Figure 2 is a flowchart of step S1 of the present invention;

[0043] Figure 3 is a flowchart of step S2 of the present invention;

[0044] Figure 4 is a flowchart of step S3 of the present invention;

[0045] Figure 5 is a flowchart of step S4 of the present invention;

[0046] Figure 6 is a flowchart of step S5 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more unless otherwise specifically defined.

[0049] Please refer to Figure 1 , the present invention provides a technical solution: a method for regulating the temperature of a real-time analysis sensor of an electronic atomizer, including the following steps:

[0050] S1: Obtain the temperature points at the beginning and end of a specified period of the heating wire of the electronic atomizer after the heating is started, calculate the ratio of the linear fitting slope of the temperature points at the beginning and end within the period to the slope of the heating-up interval boundary to judge the deviation degree of the temperature rise trend, and obtain the envelope slope deviation rate data;

[0051] S2: Identify the trend reversal of the envelope slope deviation rate data and the temperature rise direction of all the recorded slope changes of the heating wire to obtain the trend reversal determination result;

[0052] S3: Monitor the temperature increase difference of the heating wire with reference to the trend reversal determination result, judge the trigger condition for delayed shutdown, and generate a delayed shutdown execution instruction;

[0053] S4: Obtain the heat capacity change data of the heat transfer sensing point on the heat diffusion path of the heating chamber of the electronic atomizer, and judge the interruption of the path based on the heat capacity change to obtain the heat capacity path interruption determination result;

[0054] S5: Based on the delayed shutdown execution instruction and the heat capacity path interruption determination result, and in combination with the current input parameter of the heating wire of the electronic atomizer, execute the adjustment control output to obtain the temperature adjustment result;

[0055] The envelope slope deviation rate data includes the change range of the slope ratio, the deviation direction state, and the periodic trend fitting value. The trend reversal determination result is specifically the reversal state label, the direction change probability, and the trend continuity identifier. The delayed turn-off execution instruction includes the turn-off delay trigger signal, the power-on maintenance flag, and the current cycle control state. The heat capacity path interruption determination result is specifically the path interruption state, the conduction lag identifier, and the node failure position. The temperature regulation result includes the target current output value, the power regulation ratio, and the heating state feedback signal.

[0056] Please refer to Figure 2 , and the steps for obtaining the envelope slope deviation rate data are specifically as follows:

[0057] S111: Obtain the initial temperature point and the end temperature point of the heating wire of the electronic atomizer within a specified period after power-on startup, extract the starting value and the ending value recorded by the temperature sensor, and construct a heating wire temperature rise basic data pair in combination with the corresponding timestamps;

[0058] When obtaining the initial temperature point and the end temperature point of the heating wire of the electronic atomizer within a specified period after power-on startup, first, starting from the startup time of the heating control module, divide and collect the temperature data at preset sampling period intervals. Record the starting temperature value sampled by the temperature sensor and the corresponding timestamp at the start point of each period. At the same time, record the corresponding end temperature value and the end timestamp at the end of the period to form a start-end temperature data structure within the period. The period can be set to 100 milliseconds. According to the starting temperature of 23.5 degrees and the ending temperature of 47.8 degrees collected in the first period after power-on, the temperature rise in this period can be obtained as 24.3 degrees. If it is found during continuous sampling that a certain set of temperature difference data is higher than the set mutation threshold, for example, the temperature difference exceeds 80 degrees, then the data of this period will be excluded to avoid the spread of data errors caused by measurement interference. The setting of the threshold is based on the actual device operation data in multiple rounds of tests, and the minimum value among three fluctuations is rounded down to set as a fixed filtering standard. In actual operation, the response of the sensor to temperature is based on the conversion of analog voltage to digital signal. Therefore, it is necessary to determine the temperature resolution in combination with the conversion accuracy of the analog sampling module and ensure the consistency of the time interval through the sampling timestamp. The formed temperature rise basic data pairs are stored in sequential form as the basic data set for subsequent change trend judgment, and time index information is added between each pair of data.

[0059] S112: Calculate the temperature rise change rate within the corresponding period of the heating wire temperature rise basic data pair, perform linear fitting processing on the temperature change trend of each period using the multiple-segment regression algorithm, extract the change rate of each regression curve segment, and establish the relative change state within the temperature rise boundary change interval to obtain the heating wire temperature rise regression slope;

[0060] During the heating process of the heating wire of the electronic atomizer, it is necessary to analyze the temperature change trend period by period based on the starting temperature and ending temperature data points collected within the period, combined with the sampling timestamp information. To obtain the specific change rate of the temperature rising trend, a multiple-segment regression algorithm is used to perform linear fitting on the temperature change sequence within each period. In a specific implementation, first, a fixed number of consecutive period data is selected to form a time window for regression analysis. For example, it is set that each analysis window contains 3 periods, forming a time series within the window and the corresponding temperature series. The temperature sample value is set as in degrees Celsius (°C), and the time sampling point is in seconds (s), with a total of n groups of sample points. For the samples within this window, the slope calculation method used when fitting the linear trend is as follows:

[0061]

[0062] where, The temperature value at the i-th sampling point, in degrees Celsius (°C), is obtained through a thermistor temperature sensor integrated near the heating wire. The sensor model is NTC thermistor type, and the sampling accuracy is controlled within the range of ±0.2 °C; The timestamp at the i-th sampling point, in seconds (s), is synchronously collected through the high-precision timer module of the system main control chip, and the time resolution is 0.001 second; A time_avg : The average value of all timestamps in the analysis window, in seconds, is calculated as the sum of all sampling point time values divided by the number of sampling points n; A temp_avg : The average value of all temperature sampling values in the analysis window, in degrees Celsius; A slope : The heating rate obtained by linear fitting within the window, in degrees Celsius per second (°C / s), is used to represent the magnitude of the temperature rise trend in the current period segment.

[0063] In actual sampling, the set period sampling interval is 0.1 second. The time points collected continuously for 3 periods are 0.0 second, 0.1 second, and 0.2 second, and the temperatures are 25.0 °C, 46.3 °C, and 69.2 °C respectively. The calculation steps are as follows:

[0064] Time average: A time_avg =(0.0 + 0.1 + 0.2) / 3 = 0.1 second;

[0065] Temperature average: A temp_avg =(25.0 + 46.3 + 69.2) / 3 = 46.83 °C.

[0066] Calculation of the numerator part of the slope: (0.0 - 0.1)(25.0 - 46.83)+(0.1 - 0.1)(46.3 - 46.83)+(0.2 - 0.1)(69.2 - 46.83)=4.42;

[0067] Calculation of the denominator part of the slope: (0.0 - 0.1) 2 +(0.1 - 0.1) 2 +(0.2 - 0.1) 2 = 0.02;

[0068] Fitted slope: A slope = 4.42 / 0.02 = 221.0 °C / s.

[0069] The obtained results show that the average heating rate within this 3 - cycle window is 221.0 °C / s, which is within the normal operating heating range of the e - cigarette atomizer (usually 180 - 260 °C / s). To improve the algorithm's robustness to noise interference and its ability to identify continuous trends, an improved parameter A smooth is introduced and used to introduce a first - order moving average process into the fitted result sequence. The expression is as follows:

[0070]

[0071] where, the slope obtained from fitting the current cycle window; the slope of the previous cycle window; α: smoothing factor, with a value range of 0.6 - 0.9, which is a dimensionless parameter. Its value is set through the back - test response of the actual temperature control system to ensure a balance between response speed and stability. The smoothing factor is set through 30 groups of continuous heating cycles for simulation and testing of different α values. During the test, the response ability and fluctuation range of the system to slope jitter are recorded when α =

[0072] 0.6, 0.7, 0.8, 0.9. Finally, it is found that when α = 0.8, both response sensitivity can be maintained and misjudgments caused by single - cycle noise can be effectively suppressed. Therefore, the default α = 0.8 is set. If the fitted slope of the current cycle is 221.0 °C / s and the previous cycle is 214.5 °C / s, then applying the smoothing formula gives: The final output value will be used as an evaluation index representing the heating trend of the current cycle and input into the subsequent boundary judgment and trend fluctuation analysis modules to realize trend monitoring and deviation identification during the power - on heating process of the entire e - cigarette atomizer, ensuring data continuity, judgment accuracy, and interference suppression ability during the temperature control process. The benefit of this formula is that through double processing of sliding fitting and result smoothing, small disturbances during the heating process are effectively suppressed, while ensuring the consistency and continuity of the identification of the main trend line.

[0073] S113: Identify the deviation characteristics between the change direction, fluctuation range and the boundary within the current period based on the relative position of the heating wire heating-up slope and the trend of each state in the heating-up boundary change interval within adjacent periods, and generate the envelope slope deviation rate data through the persistence judgment of the trend interval;

[0074] After completing the regression fitting and moving smoothing processing of the heating-up slope, it is necessary to comprehensively identify the change trend of the current period slope and the boundary deviation state. First, obtain the smoothed slope values of the current period and the previous period, calculate the numerical difference between the two, and judge the change direction of the heating-up trend. If the slope value of the current period is higher than that of the previous period and the difference is greater than the preset amplitude threshold A Δslope , it is marked as an "upward" trend; if the absolute value of the difference is lower than this threshold, it is marked as "stable"; if the slope of the current period is lower than that of the previous period and the difference exceeds the threshold, it is "downward". The threshold A Δslope is set based on the acceptable fluctuation range of the temperature control system for continuous heating-up changes under thermal inertia response. By analyzing the standard deviation of the continuous change mean value through 50 sets of heating-up process sampling data, 10℃ / s is finally selected as the demarcation point between the steady state and the changing state.

[0075] Then, judge whether the smoothed slope value of the current period is within the heating-up rate boundary interval set by the system. This boundary interval is limited by the system preset parameters. Generally, the working heating-up rate range of the electronic atomizer heating wire is set to be from 180℃ / s to 260℃ / s. Therefore, the lower boundary is set as A slope_min = 180℃ / s, and the upper boundary is set as A slope_max = 260℃ / s. If the slope value of the current period exceeds this range, it is determined as "out-of-boundary deviation", otherwise it is "within-boundary".

[0076] To further quantify the deviation degree of the current slope from the boundary, a slope deviation rate index is introduced, which is obtained by calculating the proportion of the difference between the smoothed slope value of the current period and the boundary center value. The boundary center value is defined as the arithmetic mean of the upper and lower limits, and the specific calculation is as follows:

[0077]

[0078] Define the slope deviation rate as:

[0079] Among them, is the smoothed heating-up slope value of the current k-th period window, in degrees Celsius per second (℃ / s); A slope_center : The median of the system boundary interval, in degrees Celsius per second (℃ / s), used as the reference point for deviation judgment; A dev_rate: The deviation rate of the current cycle slope from the central value, with the unit of dimensionless number, is used to describe the abnormal heating degree of this cycle; all calculation processes use the current cycle as the reference cycle, and the previous cycle index is k - 1.

[0080] If the smoothed slope value of the current cycle is 247.5 °C / s, calculate the deviation rate of this value from the central value of 220 °C / s as follows: That is, the slope deviation rate of the current cycle is 12.5%, which is an offset within the boundary but close to the upper limit. If this value is greater than the set deviation threshold, for example, the set deviation rate threshold is 0.2, it is determined that the current cycle is still within the safe range. Combining the trend direction, fluctuation amplitude, and boundary state, construct the envelope state label of the cycle: Trend direction: obtained by comparing the current slope with the slope of the previous cycle, which can be "rising", "falling", or "stable"; Fluctuation amplitude: by comparing the slope difference between two cycles with A Δslope Judge whether it belongs to violent fluctuation; Boundary state: judge whether the current slope exceeds the system-set boundary range. If, for example, the smoothed slope of the current cycle is 247.5 °C / s, the previous cycle is 214.5 °C / s, and the difference is 33.0 °C / s, the judgment is in the rising direction; the difference is greater than 10 °C / s, and the fluctuation type is "violent"; the current value is below 260 °C / s, which is "within the boundary". The combination of the three results in the label "violent rise and deviation within the boundary". This label, combined with the deviation rate value, will be used for trend recognition and thermal control adjustment feedback to the system. If the system shows the label "violent rise and deviation outside the boundary" for two consecutive cycles, call the power reduction strategy to adjust the duty cycle of the PWM signal and reduce the heating intensity to ensure the stability and use safety of the system.

[0081] Please refer to Figure 3 , and the specific steps for obtaining the trend reversal determination result are as follows:

[0082] S211: Call the envelope slope deviation rate data and obtain the change record of the heating slope direction of the e-cigarette heating wire in the previous consecutive cycles. Arrange the slope direction states in the current cycle and the historical cycles in sequence to generate the heating wire heating direction change sequence;

[0083] After completing the identification and label construction of the envelope slope deviation rate, the system further calls the deviation rate data and retrieves and sorts the heating trend direction status of the heating wire of the electronic atomizer in the previous consecutive cycles. The direction status of each cycle includes three types of information: rising, falling, or stable, which is derived from the trend determination result of the aforementioned slope change. The system sets a historical tracking window length, for example, set to 5 cycles, arranges the direction labels before the current cycle in chronological order, and appends the direction status information of the current cycle to construct a heating direction change sequence. For example, if the direction of the current cycle is "rising", and the directions of the previous five cycles are "rising", "rising", "falling", "stable", "rising" respectively, then the finally generated direction change sequence is "rising-rising-falling-stable-rising-rising". This sequence completely records the trend evolution process of the current cycle based on the previous history. This sequence will be used for subsequent analysis of the possibility of statistical trend reversal, especially for the existence of direction mutations, that is, the state where the direction of a certain cycle is opposite to the direction of the previous cycle. For example, a jump from "rising" to "falling" or from "falling" to "rising" is a typical jump state. In addition, the system will also extract the slope deviation direction paired with the direction status, that is, whether the envelope deviation of the current cycle is upward deviation or downward deviation, as an auxiliary determination variable to identify the significance of the jump, forming a multi-dimensional data set for trend recognition and enhancing the response ability to trend mutations. This heating direction change sequence serves as a dynamic feature carrier in trend recognition.

[0084] S212: Based on the direction jump state in the heating wire heating direction change sequence and the current cycle slope deviation direction, extract the direction status of each cycle as a sample variable, and calculate the conditional probability of trend reversal in the current cycle by means of Bayesian discrimination to obtain the heating direction reversal probability feature;

[0085] After the system obtains the heating direction change sequence, it needs to further identify whether there is a possibility of trend reversal in the current cycle. For this purpose, extract the direction status of each cycle as an independent sample variable, and combine the current cycle slope deviation direction to form a classification condition, and use Bayesian discrimination to calculate the conditional probability of trend reversal. This discrimination process is mainly based on the prior probability of the sample belonging to the category and the likelihood of the sample appearing in this category for joint estimation. The formula is as follows:

[0086]

[0087] Among them, P(C k |A sample ) represents the posterior probability that the sample belongs to the trend reversal category C k The prior probability of P(A sample |C k) is the likelihood probability of the sample variable under the trend reversal category. This value is calculated by retrieving the ratio between the frequency of the current sample variable appearing in the historical data of the system under the "trend reversal" category and the total number of samples in this category. The acquisition method is as follows: during the system training stage, extract all the periodic samples marked as trend reversals, and count the number of samples with the same combination of direction state and slope deviation direction as the current one. For example, if the sample variable is "rising + downward deviation", and it appears 60 times in 200 reversal samples, then the calculated value is 60 divided by 200, which is 0.3. P(C k ) is the prior probability of the trend reversal category. This value is globally statistically obtained from the historical sample data during the model training process. That is, the ratio between the number of samples belonging to the "trend reversal" category in the overall samples counted by the system and the total number of samples. For example, if the total number of samples is 1000 and the number of samples in the reversal category is 200, then the prior probability is 0.2. This value is a fixed parameter and remains unchanged during the model operation period after initialization, unless the training set is updated. P(A sample ) is the overall probability of the sample variable. This value is the occurrence frequency of the current sample variable under all categories. The system counts the number of times this sample variable (such as "rising + downward deviation") appears in all categories in the training set and divides it by the total number of samples. For example, if this combination appears 400 times and the total number of samples is 1000, then this value is 0.4. This item is used for normalization calculation to ensure that the sum of posterior probabilities is 1.

[0088] Suppose the sample variable of the current cycle is "rising + downward deviation", that is, the previous cycle is in the rising direction, but the current slope deviation direction is downward deviation. According to the statistical data of the training, the number of samples with this combination and belonging to trend reversal is 60, and the total number of trend reversal samples is 200, so the likelihood probability is 60 divided by 200, which is 0.3. Assuming the prior probability is 0.2 and the occurrence frequency of this sample variable in the overall population is 0.4, then:

[0089]

[0090] That is, there is a 15% conditional probability that the current cycle belongs to the trend reversal state. The system can set a judgment threshold, for example, set it to 0.2. If the posterior probability is lower than this value, it is not judged as the reversal state, otherwise, it is determined that a trend reversal has occurred.

[0091] S213: According to the belonging state of the heating direction reversal probability feature within the set classification boundary, determine whether the current cycle belongs to the trend reversal category and generate a trend reversal determination result;

[0092] After obtaining the trend reversal probability feature of the current cycle, the system compares it with the set classification boundary value to determine whether this cycle belongs to the trend reversal category. The classification boundary value is set according to the reversal recognition accuracy rate on the training sample set, and is generally an empirically determined threshold. For example, it is set to 0.2. That is, when the trend reversal probability feature value of a certain cycle is equal to or higher than 0.2, the system considers that this cycle belongs to the trend reversal state and outputs the "yes" category. If it is lower than this threshold, it is determined as the "no" category. Combining the heating direction changes, slope deviation directions, trend mutation frequencies, etc. of the previous cycle and the current cycle as auxiliary inputs, judgment labels are marked on the cycles that meet the reversal conditions, and the "trend reversal judgment result" is generated by the system trend classification module. This result will be used as one of the inputs for the heating control logic. If two consecutive cycles are both marked as trend reversals, the system will abort the heating output or enable the cooling power feedback strategy to suppress the spread of reverse heating errors.

[0093] Please refer to Figure 4 , and the specific steps for obtaining the delayed turn-off execution instruction are as follows:

[0094] S311: Invoke the trend reversal judgment result and obtain the temperature points of the heating wire of the electronic atomizer at the end of the current cycle and the previous cycle, and construct a continuous cycle temperature increase sequence of the heating wire;

[0095] After completing the trend reversal probability calculation and obtaining the trend reversal judgment result, the system uses this result as one of the key inputs for the decision-making of this cycle, and simultaneously obtains the temperature data at the end of the current cycle and the previous cycle. This temperature data comes from the instantaneous temperature value recorded by the temperature sensor at the end of each cycle sampling, with the unit of degree Celsius, and has high-precision response characteristics to ensure that the sampling error is less than ±0.2°C. The system extracts a set of temperature difference sequences through the end temperature points of consecutive cycles to reflect the heating amplitude change of the heating wire between adjacent cycles. To enhance the data validity, the system sets the temperature difference calculation to be limited to valid cycles, that is, cycles where trend reversals do not occur and cycles where temperature sampling does not fluctuate abnormally. Each temperature increase is obtained by subtracting the end temperature point of the previous cycle from the end temperature point of the current cycle. For example, if the current temperature is 66.3°C and the previous cycle is 54.1°C, the increase is 12.2°C.

[0096] S312: Based on the temperature increase of each cycle in the continuous cycle temperature increase sequence of the heating wire, extract the change amount of the difference between the temperature increase of the current cycle and the lower limit of the heating target range, and combine the error state of the previous cycle to judge the error continuity, and obtain the temperature increase error analysis result;

[0097] After obtaining the continuous periodic temperature increase sequence of the heating wire, the system analyzes the temperature increase value of the current period, focuses on extracting the change amount of the difference between the temperature increase of the current period and the lower limit of the heating-up target range, and determines whether the heating-up rate requirement is met. The heating-up target range is a preset parameter when the system leaves the factory. According to the product design standard of the electronic atomizer, it is usually set that the increase per period shall not be less than 10.0 °C. The system calculates the difference between the current increase value and the target lower limit. For example, if the increase in the current period is 8.7 °C, which is 1.3 °C different from the target lower limit of 10.0 °C, then this value is recorded as the temperature increase error. Immediately afterwards, the system combines the error status of the previous period to judge whether there is error continuity in the current period, that is, if the temperature increase in the previous period is 9.2 °C and also does not reach the target range, the system judges that there is a low heating-up behavior in two consecutive periods, generates the analysis result of the temperature increase error in the current period, and marks it as "continuously deviated". In addition, if the current period does not reach the target lower limit, but the previous period has met the requirements, it is recorded as "sporadic deviation" and does not participate in the trigger logic of subsequent delayed shutdown. This error analysis result will be used in combination with the trend reversal determination result.

[0098] S313: According to the error status that the lower limit of the heating-up target is not reached in both of the two periods in the temperature increase error analysis result, and in combination with the classification label of the trend reversal category in the trend reversal determination result, judge that the delayed shutdown trigger condition is established, and generate a delayed shutdown execution instruction;

[0099] The system jointly constructs a delayed shutdown judgment model based on the temperature increase error analysis result and the trend reversal determination result. In this model, if the temperature increases of two consecutive periods are both lower than the set target lower limit, that is, the error status is continuously marked as "continuously deviated", and at the same time the trend reversal determination result shows that the current period belongs to the trend reversal category, the system determines that there is abnormal heating-up behavior in the current period and is in the reverse trend, and active intervention of the heating power is required. While meeting the above two conditions, the system judges that the delayed shutdown trigger condition is established and generates a delayed shutdown execution instruction. This instruction will be sent by the main control module to the heating control unit to implement a delayed shutdown operation for a limited time, preventing continuous energy input of the heating wire under the abnormal heating-up trend, resulting in unnecessary temperature accumulation or structural damage. The duration of the delayed shutdown is preset according to the system power adjustment strategy, generally set between 50 and 150 milliseconds, ensuring that the shutdown action can be connected with the judgment logic of the next period without affecting the heating-up control judgment of the next period. At the same time, the trigger status of the delayed shutdown and the cycle number are recorded in the system log for subsequent operation record backtracking and performance analysis.

[0100] Please refer to Figure 5 , and the specific steps for obtaining the determination result of the heat capacity path interruption are as follows:

[0101] S411: Obtain the heat capacities of multiple heat transfer sensing points arranged along the heat conduction path in the heating chamber of the electronic atomizer in the current cycle and the previous cycle. Extract the numerical combinations of adjacent sensing points in the two cycles in sequence to construct a heat capacity change sequence of the heat transfer sensing points.

[0102] While performing the delayed turn-off determination, the system further obtains the heat capacity data of multiple heat transfer sensing points arranged along the heat conduction path inside the heating chamber of the electronic atomizer for analyzing the conduction consistency and continuity of heat in physical space. Each heat transfer sensing point is attached to the surface of the heat conduction material or the key node position of the structure. The sensor can collect the heat change absorbed or released per unit time in real time, and the measured value is calculated from the temperature change amount, unit heat capacity, and mass parameters, with the unit of joule. The system collects the heat capacity values corresponding to each sensing point in the current cycle and the previous cycle respectively, and numbers and arranges these sensing points according to the physical arrangement order of the heat conduction path. Subsequently, extract the heat capacity value combinations of adjacent two sensing points in the current and previous cycles, such as the four heat capacity values of sensing points 1 and 2 in the two cycles, to form a set of change pairs. And so on, sequentially construct the heat capacity change sequences of all adjacent sensing point pairs in the entire heat conduction path to identify the consistency of the heat conduction direction and the change trend.

[0103] S412: Based on the heat capacity change between any adjacent sensing points in the heat capacity change sequence of the heat transfer sensing points, extract the conduction direction between each pair of sensing points and determine whether there is a reverse change, screen out the position combinations of the sensing points with directional reversal, and obtain the record of the reverse change of heat capacity conduction.

[0104] After obtaining the heat capacity change sequence, the system analyzes the change direction of the heat capacity between adjacent sensing points group by group, that is, determines whether the heat is conducted from the upstream sensing point to the downstream sensing point. If the heat capacity of the upstream sensing point is larger in the previous cycle for a certain pair of sensing points, it means that the heat is conducted downstream; if it changes reversely in the current cycle, that is, the heat capacity of the downstream sensing point is higher than that of the upstream point, then this pair of sensing points is determined to have a conduction direction reversal. The system marks this change as "reverse conduction". By traversing all adjacent sensing point combinations, the system screens out all the position combinations of the sensing points with such reverse changes, and records the spatial positions and cycle numbers corresponding to these abnormal changes. This record of the reverse change of heat capacity conduction is an important prerequisite for judging the heat conduction continuity. Because in an ideal heat conduction path, the heat should stably diffuse along the established direction. If there is a reverse change, it may reflect physical problems such as local thermal resistance abnormality or poor structural contact. The system records the number of each group of sensing points that have reversed, and counts the number of reversals and the duration of the reversal cycle.

[0105] S413: According to the position where reverse conduction occurs in the reverse change record of heat capacity conduction, compare the temperature increase state of the sensing points behind the target position in the current cycle. If there is a lag change in the temperature rise of the sensing point compared with the previous cycle, confirm that there is a continuity interruption in the heat conduction path, and generate a heat capacity path interruption determination result;

[0106] After the system obtains the reverse change record of heat capacity conduction, it is necessary to further analyze whether these reverse conduction points actually affect the overall continuity of the heat conduction path. For this purpose, the position of the sensing point where the reverse change occurs is used as a reference target, and the temperature increase state of the downstream sensing points behind it in the heat conduction path is compared one by one in the current cycle. If the temperature of a certain sensing point was 57.3 °C in the previous cycle and 58.0 °C in the current cycle, with an increase of only 0.7 °C, while the increase of other sensing points in the same period is generally above 2.5 °C, it indicates that the temperature response of this point is significantly lagging. If the temperature increase behind multiple reverse conduction points is less than the preset minimum increase threshold, for example, below 1.0 °C, the system determines that there is a continuity interruption in the heat conduction path. Such interruptions may be caused by physical reasons such as aging of the heat conduction material, cracking of the bonding layer, or formation of air gaps. The system generates a heat capacity path interruption determination result based on this comparison result and feeds the determination signal back to the main control device of the thermal control system. Based on this interruption result, the main control device can initiate self-check of the heat conduction structure, shutdown protection, or issue a maintenance warning to ensure that the heating system does not continue to operate under the condition of limited heat diffusion, thereby avoiding damage to the device caused by local overheating or heat stress accumulation. This path interruption recognition logic establishes a real-time monitoring path for the thermal health state of the structure through a dual judgment mechanism of temperature response hysteresis and conduction direction consistency.

[0107] Please refer to Figure 6 , the specific steps for obtaining the temperature adjustment result are as follows:

[0108] S511: Invoke the delayed turn-off execution instruction and the heat capacity path interruption determination result, and obtain the target current and real-time input current of the heating wire of the electronic atomizer in the current cycle to generate the heating wire cycle current control input data;

[0109] After the heat capacity path interruption is identified and the relevant determination is completed, the system further retrieves the delayed turn-off execution instruction and the interruption determination result, and enters the dynamic control stage of the heating wire input current. For this purpose, the system first obtains the target current value and the actual input current value of the heating wire within the current cycle, which are respectively derived from the preset temperature rise control strategy and the real-time detection of the current sensor. The target current value is set according to the required temperature rise rate in the current cycle, usually floating between 0.8 A and 1.2 A, and is calculated by the system according to the load resistance and the desired temperature rise speed; the real-time input current is obtained through the current acquisition module, and the sampling accuracy is not less than 0.01 A. The system compares the target value with the real-time value to generate the heating wire current control input data for the current cycle, which includes four items: target current, current current, delayed turn-off state, and path interruption state, and is used as the calculation basis for subsequent current regulation and power adjustment. At the same time, the system packages and records the current control data, and stores it in the control log with the cycle number as the index.

[0110] S512: Based on the current and the state of the delayed turn-off execution instruction in the heating wire cycle current control input data, determine whether the delayed turn-off is in the active state. If it is active, keep the current input unchanged, record the power-on delay information corresponding to the target state, and obtain the delayed power-on state;

[0111] After constructing the cycle current control input data, the system determines whether the current cycle is in the delayed turn-off active state based on the state of the delayed turn-off execution instruction. If the delayed turn-off is not active, the system keeps the current cycle current control strategy unchanged and normally inputs according to the target current; if the delayed turn-off is active, the system freezes the current input and does not adjust it to maintain the stability of the power output and avoid over-response in the trend reversal or insufficient temperature rise stage. At the same time, the system records the power-on delay duration in this state. This delay information starts timing from the moment when the turn-off is activated, with the unit of milliseconds, and continues to be recorded until the delayed turn-off state is released or the cycle ends. If the set delay duration is 80 milliseconds, the system will remain frozen within this time, and the actual input current will remain constant regardless of whether there is a fine-tuning update request for the target current. For example, if the current target current is 1.0 A, the current remains unchanged after the delayed turn-off is activated, and the input current remains at 1.0 A without adjustment. The system synchronously marks the current cycle as the "delayed power-on state".

[0112] S513: According to the delayed power-on state and the path interruption state in the heat capacity path interruption determination result, if the interruption state is established, adjust the real-time input current to the target ratio range, update the input power state of the heating wire in the current cycle, and generate the temperature adjustment result;

[0113] After confirming the delayed power-on state, the system uses it together with the determination result of the heat capacity path interruption to decide whether to adjust the input current of the heating wire. If the path interruption state is "not established", that is, the thermal conduction path continuity is normal, the current input strategy is maintained without intervention; if the path interruption state is "established", that is, there is a phenomenon of blocked heat diffusion, the system immediately reduces the power of the real-time input current in the current cycle. The reduction ratio is determined by the target ratio range set by the system, usually floating between 60% and 80% of the original target current. For example, if the original target current is 1.2 A, the system will adjust the real-time input current to between 0.72 A and 0.96 A after the interruption state is established. The system adjusts the output pulse width through the PWM control module to achieve fine adjustment of the current amplitude, ensuring a smooth and non-abrupt power reduction process.

[0114] After the adjustment is completed, the system recalculates the input power state of this cycle and records it as the effective power input of the heating wire in the current cycle. If the new power state is lower than the lower limit of the heat demand, the system will issue an instruction to maintain the power reduction time length, extending the number of power reduction cycles to prevent hysteresis conduction of heat accumulation in the physical structure. At the same time, the system records the power reduction time point and power value as the data basis for subsequent temperature adjustment feedback control, and finally generates the temperature adjustment result. This result not only reflects the output energy of this cycle, but also serves as an emergency adjustment response in the case of abnormal heat conduction paths, and is used to support the implementation of the strategy for the system to restore heat flow balance in the unbalanced state. By introducing the linkage mechanism of delayed turn-off and path interruption, dual-dimensional control of current and power under abnormal temperature conditions is achieved, enabling the heating system to have the ability of active response and dynamic adjustment when the thermal structure is unbalanced.

[0115] A real-time analysis sensor temperature adjustment system for an electronic atomizer, which is used to execute the above-mentioned real-time analysis sensor temperature adjustment method for an electronic atomizer. The system includes:

[0116] The temperature rise trend deviation analysis module obtains the temperature points at the beginning and end of a specified cycle of the heating wire of the electronic atomizer after heating starts, calculates the ratio of the linear fitting slope between the beginning and end temperature points in the cycle to the slope of the temperature rise interval boundary to judge the deviation degree of the temperature rise trend, and obtains the envelope slope deviation rate data;

[0117] The trend reversal identification module performs trend reversal identification on the envelope slope deviation rate data and the temperature rise direction recorded by all the slope changes of the heating wire to obtain the trend reversal determination result;

[0118] The delayed turn-off determination module monitors the temperature increase difference of the heating wire with reference to the trend reversal determination result, judges the delayed turn-off trigger condition, and generates a delayed turn-off execution instruction;

[0119] The heat capacity path integrity monitoring module obtains the heat capacity change data of the heat transfer sensing points on the heat diffusion path of the heating chamber of the electronic atomizer, determines the path interruption based on the heat capacity change, and obtains the heat capacity path interruption determination result;

[0120] The current regulation and temperature adjustment execution module performs adjustment control output based on the delayed turn-off execution instruction and the heat capacity path interruption determination result, in combination with the current input parameter of the heating wire of the electronic atomizer, and obtains the temperature adjustment result.

[0121] The above is only the preferred embodiment of the present invention, and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as the technical solution content of the present invention is not departed from, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims

1. A real-time analysis sensor temperature regulation method for an electronic atomizer, characterized in that, It includes the following steps: S1: Obtain the temperature points at the beginning and end of a specified period of the heating wire of the electronic atomizer after heating is started, calculate the ratio of the linear fitting slope between the beginning and end temperature points within the period to the slope at the boundary of the temperature rise interval to judge the deviation degree of the temperature rise trend, and obtain the envelope slope deviation rate data; S2: Identify the trend reversal of the envelope slope deviation rate data and the temperature rise direction recorded in all the slope changes of the heating wire to obtain the trend reversal determination result; S3: Monitor the temperature increase difference of the heating wire with reference to the trend reversal determination result, judge the delayed turn-off trigger condition, and generate a delayed turn-off execution instruction; S4: Obtain the heat capacity change data of the heat transfer sensing point on the heat diffusion path of the heating chamber of the electronic atomizer, and judge the path interruption based on the heat capacity change to obtain the heat capacity path interruption determination result; S5: Based on the delayed turn-off execution instruction and the heat capacity path interruption determination result, combine the current input parameters of the heating wire of the electronic atomizer to execute the adjustment control output to obtain the temperature adjustment result.

2. The real-time analysis sensor temperature regulation method for an electronic atomizer according to claim 1, wherein The envelope slope deviation rate data includes the change amplitude of the slope ratio, the deviation direction state, and the periodic trend fitting value. The trend reversal determination result is specifically the reversal state label, the direction change probability, and the trend continuity identifier. The delayed turn-off execution instruction includes the turn-off delay trigger signal, the power-on maintenance flag, and the current cycle control state. The heat capacity path interruption determination result is specifically the path interruption state, the conduction lag identifier, and the node failure position. The temperature adjustment result includes the target current output value, the power adjustment ratio, and the heating state feedback signal.

3. The real-time analysis sensor temperature adjustment method for an electronic atomizer according to claim 1, wherein The specific steps for obtaining the envelope slope deviation rate data are as follows: S111: Obtain the initial temperature point and the end temperature point of the heating wire of the electronic atomizer within a specified period after power-on startup, extract the starting value and the ending value recorded by the temperature sensor, and construct a heating wire temperature rise basic data pair in combination with the corresponding timestamps; S112: Calculate the temperature rise change rate within the corresponding period of the heating wire temperature rise basic data pair, perform linear fitting processing on the temperature change trend of each period using the multivariate piecewise regression algorithm, extract the change rate of each regression curve segment, and establish the relative change state within the temperature rise boundary change interval to obtain the heating wire temperature rise regression slope; S113: According to the relative position of the heating wire temperature rise slope and the trend of each state in the temperature rise boundary change interval in adjacent periods, identify the deviation characteristics of the change direction, fluctuation amplitude and the boundary within the current period, and generate the envelope slope deviation rate data through the persistence judgment of the trend interval.

4. The real-time analysis sensor temperature regulation method of the electronic atomizer according to claim 3, wherein, The specific steps for obtaining the trend reversal determination result are as follows: S211: Call the envelope slope deviation rate data and obtain the record of the change in the temperature rise slope direction of the heating wire of the electronic atomizer in the previous consecutive periods, arrange the slope direction states in the current period and the historical periods in sequence, and generate a heating wire temperature rise direction change sequence; S212: Based on the direction jump state in the heating wire temperature increase direction change sequence and the deviation direction of the slope in the current period, extract the direction state of each period as a sample variable, calculate the conditional probability of the occurrence of a trend reversal in the current period through Bayesian discrimination, and obtain the temperature increase direction reversal probability feature; S213: According to the belonging state of the temperature increase direction reversal probability feature within the set classification boundary, determine whether the current period belongs to the trend reversal category, and generate a trend reversal determination result.

5. The real-time analysis sensor temperature regulation method of the electronic atomizer according to claim 4, characterized in that The specific steps for obtaining the delayed turn-off execution instruction are as follows: S311: Invoke the trend reversal determination result and obtain the temperature points of the e-cigarette heating wire at the end of the current period and the previous period, and construct a continuous period temperature increase amplitude sequence of the heating wire; S312: Based on the temperature increase amplitude of each period in the continuous period temperature increase amplitude sequence of the heating wire, extract the change amount of the difference between the temperature increase amplitude in the current period and the lower limit of the temperature increase target range, and combine the error state in the previous period to judge the error continuity, and obtain the temperature increase amplitude error analysis result; S313: According to the error state that the lower limit of the temperature increase target is not reached in both periods in the temperature increase amplitude error analysis result, and combine the classification label of the trend reversal category in the trend reversal determination result, judge that the delayed turn-off trigger condition is established, and generate a delayed turn-off execution instruction.

6. The real-time analysis sensor temperature regulation method for an electronic atomizer according to claim 5, characterized in that The specific steps for obtaining the heat capacity path interruption determination result are as follows: S411: Obtain the heat capacities of multiple heat transfer sensing points arranged along the heat conduction path in the e-cigarette heating chamber in the current period and the previous period, sequentially extract the numerical combinations of adjacent sensing points in the two periods, and construct a heat transfer sensing point heat capacity change sequence; S412: Based on the heat capacity change between any adjacent sensing points in the heat transfer sensing point heat capacity change sequence, extract the conduction direction between each pair of sensing points and judge whether there is a reverse change, screen the position combinations of sensing points with directional reversal, and obtain the heat capacity conduction reverse change record; S413: According to the positions where reverse conduction occurs in the heat capacity conduction reverse change record, compare the temperature increase amplitude state of the sensing point behind the target position in the current period. If the temperature rise of the sensing point lags behind that in the previous period, confirm that there is a continuous interruption in the heat conduction path, and generate a heat capacity path interruption determination result.

7. The method for adjusting the temperature of the real-time analysis sensor of the electronic atomizer according to claim 6, wherein The specific steps for obtaining the temperature adjustment result are as follows: S511: Invoke the delayed turn-off execution instruction and the heat capacity path interruption determination result, and obtain the target current and the real-time input current of the e-cigarette heating wire in the current period, and generate the heating wire periodic current control input data; S512: Based on the current in the heating wire periodic current control input data and the state of the delayed turn-off execution instruction, judge whether the delayed turn-off is in an active state. If it is active, keep the current input unchanged, and record the power-on delay information corresponding to the target state, and obtain the power-on delay state; S513: According to the path interruption status in the delayed power-on state and the heat capacity path interruption determination result, if the interruption status holds, adjust the real-time input current to the target ratio range, update the input power status of the heating wire in the current cycle, and generate a temperature adjustment result.

8. A real-time analysis sensor temperature regulation system for an electronic atomizer, characterized in that, The real-time analysis sensor temperature adjustment method for an electronic atomizer according to any one of claims 1-7, the system comprising: The temperature rise trend deviation analysis module obtains the temperature points at the beginning and end of a specified cycle of the heating wire of the electronic atomizer after heating starts, calculates the ratio of the linear fitting slope of the temperature points at the beginning and end within the cycle to the slope of the temperature rise interval boundary to determine the deviation degree of the temperature rise trend, and obtains the envelope slope deviation rate data; The trend reversal identification module performs trend reversal identification on the envelope slope deviation rate data and the temperature rise direction of all the heating wire slope change records to obtain a trend reversal determination result; The delayed turn-off determination module monitors the difference in the temperature increase of the heating wire with reference to the trend reversal determination result, determines the delayed turn-off trigger condition, and generates a delayed turn-off execution instruction; The heat capacity path integrity monitoring module obtains the heat capacity change data of the heat transfer sensing points on the heat diffusion path of the heating chamber of the electronic atomizer, and performs a path interruption determination based on the heat capacity change to obtain a heat capacity path interruption determination result; The current regulation and temperature adjustment execution module performs adjustment control output based on the delayed turn-off execution instruction and the heat capacity path interruption determination result, in combination with the current input parameters of the heating wire of the electronic atomizer, to obtain a temperature adjustment result.

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