Sensor-based commercial induction cooker heating power detection method and system

Abstract

The invention discloses a sensor-based commercial induction cooker heating power detection method and system, relates to the field of sensor-based commercial induction cooker heating power detection, and aims to reduce the risks of power overload and sudden failure under a high-load working condition and improve the overall operation reliability and cooking quality of a commercial induction cooker. Comprising the following steps: acquiring the working temperature of the current transformer and an output original current measurement value; the working temperature is obtained by a temperature sensor adjacent to the current transformer; according to the working temperature, the current current measurement deviation of the current transformer is calculated by referring to the pre-established corresponding relation between the working temperature and the current measurement deviation; correcting the original current measurement value based on the calculated current measurement deviation to obtain a corrected current measurement value; and calculating the consumed power of the heating coil panel of the induction cooker based on the corrected current measurement value.

Description

Technical Field

[0001] This invention relates to the field of sensor-based detection of heating power in commercial induction cookers, and more particularly to a sensor-based method and system for detecting heating power in commercial induction cookers. Background Technology

[0002] In modern commercial kitchens, commercial induction cookers need to operate continuously at high power for extended periods during peak lunch or dinner hours. This sustained high-load operation puts severe strain on the electronic components inside the cooker. The current transformer, responsible for current sampling and a key component for power detection, not only generates heat itself due to internal resistance and hysteresis losses when converting large currents, but also bears heat conducted and radiated from other high-heat components such as IGBT power transistors and rectifier bridges. This combined effect of multiple heat sources means the current transformer operates in a temperature far exceeding normal operating conditions for extended periods and continuously endures significant electrical stress.

[0003] If a current transformer operates under the aforementioned high-temperature environment for an extended period, the ferrite core material inside will experience a slow performance degradation due to continuous thermal effects. This is a material-level aging phenomenon, essentially caused by microscopic changes in the lattice structure or domain wall motion characteristics within the core, leading to a slight but irreversible decrease in the material's permeability. Over time and with the accumulation of thermal stress, the decrease in permeability becomes significant. Due to the decrease in the permeability of the current transformer core, its linearity when converting large currents deteriorates. When permeability decreases, the core tends to reach saturation earlier during magnetization, or the relationship between magnetic flux and magnetic field strength is no longer strictly linear throughout the entire operating range. This means that when an induction cooker operates at high power and a large current flows through the primary side, the performance degradation of the core causes the current signal induced on the secondary side to no longer maintain a strictly precise proportional relationship. Specifically, it produces a stable underestimation bias, meaning that the measured current value will consistently be slightly lower than the actual current flowing through it. Furthermore, this deviation is not a fixed value, but becomes more pronounced when the actual current is larger, exhibiting a non-linear error amplification effect.

[0004] This current signal, with its systematic underestimation bias, is then transmitted to the main control board of the induction cooker. The signal processing program on the main control board typically includes digital filtering, sampling, and quantization, designed to eliminate random noise, smooth signal fluctuations, and convert the signal into a digital quantity that can be processed by the microcontroller. However, this program cannot distinguish between this systematic error caused by component aging and normal signal fluctuations. This is because this underestimation bias is not random noise, nor is it a momentary spike or drop, but a stable, proportional, systematic offset to the actual current. Therefore, the program processes the input data according to preset logic, treating it as an accurate measurement result and transmitting it to the subsequent power calculation unit. It lacks the ability to identify and compensate for this specific type of systematic bias caused by sensor aging.

[0005] Because the power calculation unit uses underestimated current data, the real-time heating power calculated using the induction cooker's power calculation method will consistently be lower than the actual power consumed by the heating coil. This negative difference between the calculated and actual power becomes even larger at higher power settings, as the underestimation of current is more pronounced at higher currents. This means that the system "believes" it is outputting less power than it actually is. Because the calculated power is consistently low, when a chef sets a high power setting based on cooking needs, the control system, based on its "incorrect" low power reading, judges that the current output has not reached the set target. To compensate for this "perceived" power shortfall, the system instructs the IGBT power transistors to drive the heating coil at a higher actual output, attempting to reach its "perceived" target. This causes the induction cooker to operate at an actual power exceeding its rated safe range for extended periods without the control system's knowledge. This prolonged overload operation not only directly wastes energy but also accelerates the wear and tear on core components such as the IGBT power transistors and heating coil. These factors significantly shorten the lifespan of equipment and substantially increase the risk of power overload and sudden malfunctions under high-load conditions. Ultimately, this inaccurate power control not only affects the quality of food preparation but also poses a potentially huge risk to the normal operation of the kitchen. Summary of the Invention

[0006] This application discloses a sensor-based method and system for detecting the heating power of a commercial induction cooker. It aims to solve the technical problem that under long-term high-load operation, the current transformer core performance deteriorates due to high temperature, which leads to current measurement deviation, resulting in inaccurate power calculation, energy waste, shortened equipment life and increased operational risks.

[0007] In a first aspect, this application discloses a sensor-based method for detecting the heating power of a commercial induction cooker, comprising: The operating temperature of the current transformer and the raw current measurement value of the output are obtained; the operating temperature is obtained by a temperature sensor located adjacent to the current transformer. Based on the operating temperature and referring to the pre-established correspondence between the operating temperature and the current measurement deviation, the current measurement deviation of the current transformer is calculated. Based on the calculated current measurement deviation, the original current measurement value is corrected to obtain the corrected current measurement value. Based on the corrected current measurement, the power consumption of the heating coil of the induction cooker is calculated.

[0008] This technical solution effectively solves the measurement deviation problem caused by long-term high-temperature operation of current transformers, thereby enabling accurate detection of the heating power of commercial induction cookers, avoiding energy waste and equipment damage caused by inaccurate power calculation, and improving the operational reliability and service life of induction cookers.

[0009] Furthermore, in some preferred embodiments, based on the operating temperature and referring to a pre-established correspondence between the operating temperature and the current measurement deviation, the current measurement deviation of the current transformer is calculated, including: The raw temperature data provided by the temperature sensor is acquired, and the raw temperature data is preliminarily processed to obtain the preliminarily processed temperature data. When the rate of change of the pre-processed temperature data over time exceeds the upper limit of the temperature change rate of the current transformer core, an estimated temperature value is adjusted based on the upper limit of the temperature change rate of the current transformer core as the actual operating temperature of the current transformer core. When the rate of change of the pre-processed temperature data over time does not exceed the upper limit of the temperature change rate of the current transformer core, the pre-processed temperature data shall be taken as the true operating temperature of the current transformer core. Based on the actual operating temperature of the current transformer core and referring to the pre-established correspondence between the operating temperature and the current measurement deviation, the current measurement deviation of the current transformer is calculated.

[0010] This technical solution enables more accurate acquisition of the true operating temperature of the current transformer core through intelligent processing of temperature data, avoiding errors caused by the asynchronous response speed of the temperature sensor and the actual temperature change of the core, thereby improving the accuracy of current measurement deviation estimation.

[0011] Based on this, this application further proposes to calculate the current measurement deviation of the current transformer based on the actual operating temperature of the current transformer core and referring to a pre-established correspondence between the operating temperature and the current measurement deviation, including: Obtain the raw current measurement values ​​of the current transformer at multiple preset temperature points; Obtain the actual current value corresponding to the original current measurement value; Calculate the actual current measurement deviation between the original current measurement value and the true current value; Compare the difference between the actual current measurement deviation and the pre-stored correspondence between the operating temperature and the current measurement deviation; When the difference exceeds the preset limit, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted. Based on the adjusted relationship between the operating temperature and the current measurement deviation, and combined with the actual operating temperature of the current transformer core, the current measurement deviation of the current transformer can be calculated.

[0012] This technical solution enables real-time monitoring and calibration to dynamically update the correlation between operating temperature and current measurement deviation, effectively addressing the issue of current transformer core performance degradation over time, ensuring long-term accuracy of deviation calculation, and thus further improving the precision of power detection.

[0013] More specifically, in some implementations, the raw current measurements of the current transformer at multiple preset temperature points are obtained, including: Frequency domain analysis of the current transformer output signal is performed to separate the first information carrying the main power information and the second information representing external high-frequency magnetic field interference. When the intensity of the second information exceeds a preset limit, the sampling process is adjusted or adaptive filtering is applied to reduce the impact of high-frequency interference on the accuracy of the first information measurement, and the corrected first information is obtained. Based on the corrected first information, the original current measurement values ​​of the current transformer at multiple preset temperature points are obtained.

[0014] This technical solution effectively separates and suppresses external high-frequency magnetic field interference through frequency domain analysis, ensuring the purity and accuracy of the original current measurement values. This provides reliable basic data for subsequent deviation calculation and power correction, thereby improving the anti-interference capability and accuracy of the entire detection method.

[0015] As a technological improvement, frequency domain analysis is performed on the signal output by the current transformer to separate the first information carrying the main power information and the second information representing external high-frequency magnetic field interference, including: Based on the extraction formula, determine the first piece of information; The second information is determined based on the difference between the signal output by the current transformer and the first information; The extraction formula is: y[n]=b0*x[n]+b1*x[n-1]+b2*x[n-2]-a1*y[n-1]-a2*y[n-2] Where x[n] is the original sampling current of the nth sampling point, y[n] is the first information of the nth sampling point, and b0, b1, b2, a1, a2 are filter coefficients calculated in advance based on the power grid frequency and the required bandwidth; x[n-1] is the original sampling current of the (n-1)th sampling point, x[n-2] is the original sampling current of the (n-2)th sampling point, y[n-1] is the first information of the (n-1)th sampling point, and y[n-2] is the first information of the (n-2)th sampling point.

[0016] This technical solution enables the precise extraction of key power information from the original signal using specific digital filter formulas, and effectively separates high-frequency interference. It provides a precise mathematical model and implementation method for subsequent interference suppression and data correction, further improving the accuracy and efficiency of signal processing.

[0017] As a further improvement, when the difference exceeds a preset limit, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted, including: Based on the actual current measurement deviation, identify the stage of current transformer core performance degradation. Select the corresponding adjustment method based on the identified stage of decline; Based on the corresponding adjustment method, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted.

[0018] This technical solution enables targeted adjustment strategies to be adopted according to different stages of magnetic core performance degradation, making the correction of deviation correspondence more precise and intelligent, thereby more effectively compensating for errors caused by magnetic core aging and extending the effective service life of the current transformer.

[0019] To enhance functionality, based on the actual current measurement deviation, the stage of current transformer core performance degradation is identified, including: Acquire information on ambient humidity, oil fume concentration, and vibration of the induction cooker itself; Correlation analysis was performed on the deviations between the environmental humidity information, the oil fume concentration information, the induction cooker body vibration information, and the actual current measurement. Based on the results of this correlation analysis, the stage at which the performance of the current transformer core has deteriorated is corrected.

[0020] This technical solution comprehensively considers the impact of environmental factors and equipment operating status on core degradation. Through multi-dimensional data correlation analysis, it can more accurately determine the stage of core performance degradation, thereby making the adjustment strategy more targeted and effective, and further improving the robustness and accuracy of power detection.

[0021] To optimize the structure, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted, including: Calculate the magnitude of change of the current adjustment parameter within a specific time range; The magnitude of this change is compared with a preset stability limit; When the change exceeds the stability limit, an attenuation factor is applied to the adjustment parameter to limit the rate of change of the adjustment parameter, and the correspondence between the adjusted operating temperature and the current measurement deviation is smoothed. When the change does not exceed the stability limit, the adjustment parameter is applied, and the correspondence between the adjusted operating temperature and the current measurement deviation is smoothed.

[0022] This technical solution can ensure the stability and gradualness of the deviation correspondence adjustment by dynamically adjusting the parameter change rate and performing smoothing processing, avoiding the introduction of new errors or system instability due to excessive or abrupt adjustments, thereby improving the long-term reliability and accuracy of power detection.

[0023] In one implementation, the pre-established correspondence between the operating temperature and the current measurement deviation is as follows: I P =a*T 2 +b*T+c+d*I S +e*I S 2 ; Among them, I P For current measurement deviation, a, b, c, d, and e are preset fitting coefficients, T is the operating temperature, and I is the current measurement deviation. S This represents the actual current.

[0024] This technical solution enables a precise description of the nonlinear relationship between operating temperature, actual current, and current measurement deviation using a specific mathematical model. This provides a quantitative basis for the calculation of deviation, thereby significantly improving the accuracy and precision of current measurement deviation calculation.

[0025] Secondly, this application also discloses a sensor-based commercial induction cooker heating power detection system, the system comprising: The acquisition module is used to acquire the operating temperature of the current transformer and the raw current measurement value of the output; the operating temperature is acquired by a temperature sensor located adjacent to the current transformer. The deviation calculation module is used to calculate the current measurement deviation of the current transformer based on the operating temperature and with reference to the pre-established correspondence between the operating temperature and the current measurement deviation. The current correction module is used to correct the original current measurement value based on the calculated current measurement deviation, so as to obtain the corrected current measurement value. The power calculation module is used to calculate the power consumption of the heating coil of the induction cooker based on the corrected current measurement value.

[0026] This technical solution provides an integrated hardware and software solution to accurately detect the heating power of commercial induction cookers, effectively solving the measurement deviation problem caused by the high-temperature operation of current transformers, thereby improving the operating efficiency of induction cookers, extending equipment life and reducing the risk of failure. Beneficial effects

[0027] This application discloses a sensor-based method for detecting the heating power of a commercial induction cooker. By acquiring the operating temperature and original current measurement value of a current transformer, and utilizing a pre-established correlation between operating temperature and current measurement deviation, the current measurement deviation of the current transformer is calculated. Based on this, the original current measurement value is corrected to obtain a corrected current measurement value, and finally, the power consumption of the induction cooker's heating coil is calculated based on the corrected current measurement value. This method effectively solves the problem in existing technologies where the performance of the current transformer core deteriorates due to long-term high-temperature operation, leading to a systematic underestimation of the current measurement value. By introducing temperature compensation and deviation correction mechanisms, this application can accurately correct the measurement error of the current transformer, ensuring the accuracy of power calculation. This not only avoids long-term overload operation of the induction cooker due to inaccurate power calculation, thus significantly reducing energy waste and extending the service life of core components such as IGBT power transistors and heating coils, but also greatly reduces the risk of power overload and sudden failure under high-load conditions, improving the overall operational reliability and cooking quality of the commercial induction cooker. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of a sensor-based method for detecting the heating power of a commercial induction cooker, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of another sensor-based method for detecting the heating power of a commercial induction cooker provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a sensor-based commercial induction cooker heating power detection system provided in an embodiment of the present invention. Detailed Implementation

[0029] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0030] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] Traditional commercial induction cookers, under prolonged high-load operation, experience core performance degradation in their current transformers due to high temperatures and electrical stress, leading to a systematic underestimation of current measurement. This deviation cannot be identified and compensated for in the main control board's signal processing stage, causing the power calculation unit to calculate a lower heating power based on inaccurate current data. To compensate for this perceived power shortfall, the control system instructs the induction cooker to operate at a power exceeding its rated safe range, resulting in energy waste, accelerated wear and tear on core components, and increased risk of malfunction.

[0032] In response, this application proposes a sensor-based method for detecting the heating power of a commercial induction cooker, comprising: acquiring the operating temperature of a current transformer and the original current measurement value output; the operating temperature is acquired by a temperature sensor adjacent to the current transformer; based on the operating temperature and referring to a pre-established correspondence between the operating temperature and the current measurement deviation, calculating the current measurement deviation of the current transformer; correcting the original current measurement value based on the calculated current measurement deviation to obtain a corrected current measurement value; and calculating the power consumption of the heating coil of the induction cooker based on the corrected current measurement value.

[0033] This application introduces a temperature sensor to monitor the operating temperature of the current transformer in real time, and combines it with a pre-established correspondence between temperature and current measurement deviations to correct the original current measurement value, thereby obtaining a more accurate heating power. This effectively solves the problem of inaccurate power detection caused by the aging of the current transformer in the prior art, and improves the reliability and energy efficiency of the induction cooker.

[0034] To better understand the technical solution proposed in this application, some key terms involved will be explained first.

[0035] A current transformer is an electrical device used to proportionally convert large currents into smaller currents for measurement and protection. In commercial induction cookers, it is responsible for collecting the current signal from the heating coil.

[0036] Operating temperature refers to the real-time temperature of a current transformer under actual operating conditions, and this temperature has a significant impact on the measurement accuracy of the current transformer.

[0037] A temperature sensor is a device that can sense temperature and convert it into an electrical signal. In this application, it is placed adjacent to a current transformer to obtain its precise operating temperature.

[0038] The raw current measurement value is the current signal directly output by the current transformer without any correction processing.

[0039] Current measurement deviation refers to the difference between the current value measured by the current transformer and the actual current flowing through it.

[0040] The pre-established correspondence refers to the mathematical model or lookup table established through experimental or historical data analysis between the operating temperature of a current transformer and its current measurement deviation.

[0041] The corrected current measurement value is the current value after current measurement deviation compensation, which is closer to the actual current value.

[0042] The power consumption of the heating coil of an induction cooker refers to the actual electrical power consumed by the heating coil when the induction cooker is working. It is a key indicator for measuring the heating capacity and energy efficiency of an induction cooker.

[0043] The following specific embodiments will provide a detailed description and explanation of a sensor-based method for detecting the heating power of a commercial induction cooker provided in this application.

[0044] Reference Figure 1 This invention provides a sensor-based method for detecting the heating power of a commercial induction cooker, comprising the following steps: S1 obtains the operating temperature of the current transformer and the original current measurement value of the output.

[0045] The operating temperature is obtained by a temperature sensor located next to the current transformer.

[0046] As one possible approach, the operating temperature can be obtained in various ways. For example, various types of temperature sensors, such as thermistors, thermocouples, or semiconductor temperature sensors, can be used. These sensors are installed close to the current transformer to ensure that the measured temperature accurately reflects the real-time thermal state of the current transformer itself. For instance, a PT100 platinum resistance temperature sensor can be directly fixed to the outer shell of the current transformer core. Its resistance value changes with temperature, and this change is converted into a readable electrical signal by a signal conditioning circuit.

[0047] The raw current measurement value is obtained directly from the secondary output of the current transformer. For example, the current transformer can proportionally convert hundreds of amperes of current on the primary side into a few milliamperes or tens of milliamperes of current on the secondary side. This small current signal is converted into a voltage signal by a sampling resistor, and then converted into a digital signal by an analog-to-digital converter (ADC), which serves as the raw current measurement value.

[0048] S2. Based on the operating temperature and referring to the pre-established correspondence between operating temperature and current measurement deviation, calculate the current measurement deviation of the current transformer.

[0049] The pre-established correspondence can be obtained through laboratory calibration or on-site data acquisition. For example, precise current input and output measurements of current transformers can be performed under different temperature environments, recording the deviation between the original current measurement value and the actual current value at each temperature point. These data points can be used to fit a curve or construct a multidimensional lookup table, thereby establishing a functional relationship between the operating temperature and the current measurement deviation.

[0050] Once the real-time operating temperature of the current transformer is obtained, this correspondence can be used to calculate the possible measurement deviation of the current transformer at the current temperature.

[0051] For example, if the correlation shows that the current transformer will produce a measurement deviation of -5% at 80℃, then when the real-time operating temperature is 80℃, the current measurement deviation can be calculated to be -5%.

[0052] In some embodiments, the pre-established correspondence between operating temperature and current measurement deviation is as follows: I P =a*T 2 +b*T+c+d*I S +e*I S 2 ; Among them, I P The current measurement deviation is represented by a, b, c, d, and e, which are preset fitting coefficients. T represents the operating temperature, and I represents the current measurement deviation. S This represents the actual current.

[0053] S3. Based on the calculated current measurement deviation, the original current measurement value is corrected to obtain the corrected current measurement value.

[0054] As one possible approach, if the calculated current measurement deviation is a percentage value, the original current measurement value can be divided by (1 plus the percentage deviation) to obtain the corrected value. As another possible approach, if the deviation is an absolute value, it can be directly subtracted from the original current measurement. For example, if the original current measurement is 10A and the calculated deviation is -0.5A (i.e., the actual value is 0.5A higher than the measured value), then the corrected current measurement is 10A - (-0.5A) = 10.5A. In this way, the systematic error caused by temperature in the original measurement is effectively eliminated, making the corrected current measurement closer to the actual current flowing through the heating coil.

[0055] S4. Based on the corrected current measurement value, calculate the power consumption of the heating coil of the induction cooker.

[0056] As one possible implementation, for AC circuits, given the corrected current measurement value and the voltage value across the heating coil, and being able to obtain the phase angle between the current and voltage, the power consumption of the induction cooker heating coil can be calculated using the power consumption formula.

[0057] The formula for power consumption is: P = U * I * cos(φ); Where P is the power consumed by the heating coil of the induction cooker, U is the voltage across the coil, I is the corrected current, cos(φ) is the power factor, and φ is the phase difference angle between the voltage and the current.

[0058] In many commercial induction cookers, the voltage is typically considered relatively stable, or can be measured using a separate voltage sensor. Therefore, once an accurate corrected current value is obtained, combined with the voltage information, the actual power consumption of the heating coil can be precisely calculated.

[0059] The sensor-based method for detecting the heating power of commercial induction cookers proposed in this application works by monitoring the operating temperature of a current transformer in real time and using a pre-established temperature-deviation correspondence to intelligently correct the original current measurement value output by the current transformer. This overcomes the measurement inaccuracies caused by the aging of the current transformer due to heat in traditional methods. Specifically, when the commercial induction cooker starts and begins heating, the temperature sensor adjacent to the current transformer continuously acquires its operating temperature and transmits the temperature data to the main control unit. Simultaneously, the current transformer outputs the original current measurement value of the heating coil. After receiving these two key data points, the main control unit searches or calculates within the pre-stored temperature-current measurement deviation correspondence based on the current real-time operating temperature to deduce the potential measurement deviation of the current transformer at the current temperature. For example, if the current transformer tends to underestimate the actual current at high temperatures, the calculated deviation will be negative. Subsequently, the main control unit uses this calculated deviation to compensate and correct the original current measurement value, thereby obtaining a corrected current measurement value that is closer to the actual current. Ultimately, based on this corrected current measurement and combined with the voltage information of the induction cooker, the main control unit can accurately calculate the true power consumption of the induction cooker's heating coil. The entire process forms a closed loop, ensuring that accurate power detection data can still be provided even when the induction cooker operates under high load for extended periods and the current transformer's performance may degrade. This avoids problems such as overload operation, energy waste, and shortened equipment lifespan caused by underestimating power.

[0060] The core innovation of this application lies in its breakthrough of the assumption of constant measurement accuracy of the current transformer in traditional induction cooker power detection methods. It introduces real-time monitoring of the current transformer's operating temperature and establishes a dynamic compensation mechanism between temperature and current measurement deviations. Compared to the closest existing technology, which typically relies solely on the current transformer's raw output for power calculation, failing to consider the systematic measurement deviations caused by the degradation of the current transformer's core performance under different operating temperatures, especially after long-term high-temperature operation. This traditional method, under high-load conditions, leads to consistently lower calculated power than actual power consumption, resulting in misjudgments by the control system, causing the induction cooker to operate under overload for extended periods, accelerating component wear, and increasing the risk of failure.

[0061] This application deploys a temperature sensor next to the current transformer to acquire its operating temperature in real time. Combined with a pre-established temperature-deviation correlation, it can dynamically and accurately calculate the current transformer's current measurement deviation. Based on this calculation, the original current measurement value is corrected to obtain current data closer to the true value, thereby calculating the accurate heating power. This method effectively solves the problem of inaccurate power detection caused by current transformer aging and temperature drift in existing technologies. By providing accurate power data, the induction cooker's control system can more precisely adjust the output power, avoiding overload operation, significantly extending the service life of core components such as IGBT power transistors and heating coils, reducing energy consumption, and improving the overall reliability and safety of the equipment. Therefore, this application has significant technological advancements and practical value in energy efficiency management and equipment maintenance of commercial induction cookers.

[0062] In some embodiments described above, a method for directly estimating current measurement deviation based on the operating temperature of a current transformer is proposed. However, in practical applications, the temperature data acquired by a temperature sensor located adjacent to the current transformer may fluctuate rapidly due to rapid changes in ambient temperature or a fast sensor response. Current transformers, especially their magnetic cores, possess a certain thermal inertia, and their internal temperature changes typically lag behind the external ambient temperature or the instantaneous temperature measured by the sensor. If the instantaneous operating temperature acquired by the sensor is directly used to estimate the current measurement deviation, the calculated deviation value may not match the actual operating state of the current transformer core, thereby affecting the correction accuracy of the current measurement value and the accuracy of the final power calculation.

[0063] In response, one possible design is as follows: Figure 2 As shown, in order to calculate the current measurement deviation of the current transformer, this application may further include the following steps: S101. Obtain the raw temperature data provided by the temperature sensor, and perform preliminary processing on the raw temperature data to obtain the pre-processed temperature data.

[0064] Specifically, acquiring raw temperature data from a temperature sensor refers to receiving unprocessed electrical or digital signals from a temperature sensor located adjacent to a current transformer.

[0065] Preliminary processing of the raw temperature data yields pre-processed temperature data. This can be understood as filtering, smoothing, or averaging the raw data to eliminate transient noise or glitches and improve data stability. For example, moving average filtering and Kalman filtering can be used to process the raw temperature data. The upper limit of the temperature change rate of the current transformer core refers to the maximum rate of temperature change that the current transformer core can withstand or actually experience based on its physical characteristics.

[0066] S102. When the rate of change of the pre-processed temperature data over time exceeds the upper limit of the temperature change rate of the current transformer core, an estimated temperature value is adjusted based on the upper limit of the temperature change rate of the current transformer core as the actual operating temperature of the current transformer core.

[0067] When the rate of change of the initially processed temperature data exceeds the upper limit over time, it indicates that the temperature change measured by the sensor may be too rapid and cannot accurately reflect the actual temperature change of the magnetic core. In this case, an estimated temperature value is adjusted to represent the true operating temperature of the current transformer core, based on the upper limit of the current transformer core's temperature change rate. This aims to simulate the actual thermal inertia of the core and prevent errors introduced by an overly rapid sensor response. This estimated temperature value can be calculated based on the previous operating temperature and the upper limit of the core's temperature change rate. For example, the current estimated temperature value equals the previous operating temperature plus or minus the upper limit of the core's temperature change rate multiplied by the sampling time interval.

[0068] S103. When the rate of change of the pre-processed temperature data over time does not exceed the upper limit of the temperature change rate of the current transformer core, the pre-processed temperature data shall be taken as the true operating temperature of the current transformer core.

[0069] In practical applications, if the rate of change of the pre-processed temperature data over time does not exceed the upper limit of the temperature change rate of the current transformer core, then the temperature change measured by the sensor is considered reasonable, and the pre-processed temperature data can be directly used as the true operating temperature of the current transformer core.

[0070] This application's solution effectively solves the problem of inaccurate temperature measurement caused by the mismatch between the response speed of the temperature sensor and the thermal inertia of the current transformer core in traditional methods by introducing a judgment and adjustment mechanism for the rate of temperature data change. Specifically, when the temperature sensor detects a rapid temperature change, the system does not blindly adopt this rapid change. Instead, it limits the update speed of the temperature value based on the inherent upper limit of the temperature change rate of the current transformer core. This ensures that the actual operating temperature used to calculate the current measurement deviation is closer to the actual temperature of the core. This approach ensures the stability and accuracy of the temperature data and avoids calculation errors caused by instantaneous temperature fluctuations. Through the above technical solution, this application can more accurately obtain the true operating temperature of the current transformer core, especially in scenarios with rapid changes in ambient temperature or frequent switching of the induction cooker's operating state. Therefore, the current measurement deviation calculated based on a more accurate true operating temperature will be more precise, thereby improving the correction accuracy of the original current measurement value. Ultimately, this helps improve the overall accuracy and reliability of heating power detection in commercial induction cookers, avoiding power calculation deviations caused by temperature measurement errors, and thus optimizing the performance management and energy efficiency assessment of the induction cooker.

[0071] In some preferred embodiments, a specific example is given below. Assume the upper limit of the temperature change rate of the current transformer core is set to 2 degrees Celsius per second. At a certain moment, the raw temperature data acquired by the temperature sensor, after preliminary processing, displays a current temperature of 50 degrees Celsius, while the actual operating temperature at the previous sampling time was 45 degrees Celsius, with a sampling interval of 1 second. At this point, the rate of change of the pre-processed temperature data over time is (50-45) / 1 = 5 degrees Celsius / second. Since 5 degrees Celsius / second exceeds the preset upper limit of 2 degrees Celsius / second, the system will not directly use 50 degrees Celsius as the actual operating temperature. Instead, it will adjust based on the upper limit of the core's temperature change rate. For example, the new estimated temperature value will be adjusted to the actual operating temperature at the previous moment plus the upper limit of the temperature change rate, i.e., 45 + 2 = 47 degrees Celsius. This 47 degrees Celsius will be used as the actual operating temperature of the current transformer core for subsequent current measurement deviation calculations. If, in subsequent moments, the rate of change of the pre-processed temperature data is 1 degree Celsius per second, which does not exceed the upper limit, then this pre-processed temperature data is directly taken as the actual operating temperature. In this way, even if the sensor data fluctuates significantly, the system can output a more stable temperature value that better reflects the actual thermal characteristics of the magnetic core, thereby ensuring the accuracy of the current measurement deviation calculation.

[0072] In some embodiments described above, the operating temperature of the current transformer is obtained and processed to determine the true operating temperature of the transformer core. The current measurement deviation is then calculated by referring to a pre-established correspondence between the operating temperature and the current measurement deviation. However, in practical applications, the performance of the current transformer core may degrade due to aging, environmental factors (such as humidity and oil fumes), or mechanical vibration during long-term operation. This causes the pre-established static correspondence to become inaccurate, thus affecting the accuracy of the current measurement deviation calculation. If this problem is not addressed, even if the true operating temperature is accurately obtained, the deviation calculated based on an outdated correspondence may still lead to accumulated errors in the final power calculation, affecting the precise control and energy efficiency assessment of commercial induction cookers.

[0073] In response, this application further proposes a method for calculating the current measurement deviation of a current transformer, which includes: S201. Obtain the original current measurement values ​​of the current transformer at multiple preset temperature points.

[0074] The original current measurement value refers to the uncorrected current data collected through the output interface of the current transformer when it is under different stable temperature conditions.

[0075] These preset temperature points can cover the typical temperature range that current transformers may encounter in actual working environments, such as 25℃, 50℃, 75℃, etc.

[0076] S202. Obtain the actual current value corresponding to the original current measurement value.

[0077] The actual current value corresponding to the original current measurement is usually obtained by synchronously measuring the current value under the same circuit conditions as the current transformer using a high-precision standard current source or a calibrated reference measuring device. The purpose is to provide a benchmark for evaluating the measurement accuracy of the current transformer.

[0078] S203. Calculate the actual current measurement deviation between the original current measurement value and the true current value.

[0079] Calculating the actual current measurement deviation between the original current measurement value and the true current value refers to comparing the original current value measured by the current transformer at the same temperature point with the corresponding true current value, for example, by subtracting or calculating the percentage error to quantify the difference.

[0080] S204. Compare the difference between the actual current measurement deviation and the pre-stored correspondence between the operating temperature and current measurement deviation.

[0081] Among them, comparing the difference between the actual current measurement deviation and the pre-stored correspondence between the operating temperature and current measurement deviation can be understood as comparing the currently measured actual deviation with the deviation predicted by the model.

[0082] S205. When the difference exceeds the preset limit, adjust the pre-stored correspondence between the operating temperature and the current measurement deviation.

[0083] The difference can be an absolute value difference or a relative percentage difference.

[0084] When the difference exceeds a preset limit (e.g., 0.5%), the current correspondence is considered no longer accurate and needs to be adjusted.

[0085] Adjusting the pre-stored correspondence between operating temperature and current measurement deviation can be achieved through various methods. For example, the original model parameters can be updated using newly acquired actual current measurement deviation data through least squares method, regression analysis, or machine learning algorithms, or the corresponding values ​​in the lookup table can be directly modified to make them closer to the current transformer's current actual performance.

[0086] S206. Based on the correspondence between the adjusted operating temperature and the current measurement deviation, and combined with the actual operating temperature of the current transformer core, calculate the current measurement deviation of the current transformer.

[0087] This application's solution addresses the issue of inaccurate measurement deviation correlations that may arise from long-term operation of current transformers by introducing a dynamic calibration mechanism. Specifically, by periodically or under specific conditions acquiring the original current measurements and their corresponding actual current values ​​at multiple preset temperature points, the actual current measurement deviation of the current transformer can be calculated in real time. These actual deviations are then compared with pre-stored correlations that may have become inaccurate over time. If the difference exceeds a preset tolerance limit, it indicates that the current transformer's performance has changed, and the original correlation is no longer applicable. At this point, the system triggers an adjustment mechanism to update the pre-stored correlation between operating temperature and current measurement deviation using the latest actual measurement data. It is precisely this dynamic adjustment process, based on actual performance feedback, that ensures that the calculation of current measurement deviations for the current transformer remains based on an accurate and real-time correlation under different operating stages and environmental conditions, thereby guaranteeing the accuracy of subsequent current corrections and power calculations.

[0088] Through the above technical solution, this application effectively overcomes the problem of inaccurate preset deviation correspondence over time in traditional methods. By introducing real-time monitoring of actual current measurement deviation and dynamic comparison with preset correspondence, and adaptively adjusting the correspondence based on the comparison results, it ensures that the current measurement deviation calculation of the current transformer maintains high accuracy throughout its entire life cycle. This not only significantly improves the long-term accuracy and reliability of heating power detection in commercial induction cookers and reduces maintenance costs and error risks caused by sensor aging, but also enables the system to better adapt to the slow degradation of current transformer performance or environmental changes, thus providing a more solid data foundation for precise control and energy efficiency management of induction cookers.

[0089] In some preferred embodiments, a specific example is given below. Suppose that after a commercial induction cooker has been in use for a period of time, the current transformer inside may experience a slight degradation in the performance of its magnetic core due to prolonged high-temperature operation. To ensure the accuracy of power detection, the system can initiate a calibration process periodically (e.g., every six months) or when an anomaly is detected.

[0090] Specifically, firstly, in a laboratory or controlled environment, the current transformer is placed at multiple preset temperature points, such as 25°C, 55°C, and 85°C. At each temperature point, a known real current value is applied to the current transformer using a high-precision standard current source, and the raw current measurement value output by the current transformer is acquired simultaneously. For example, at 25°C, applying a real current of 10A may result in a raw current measurement value of 9.9A for the current transformer; at 55°C, applying a real current of 10A may result in an output of 9.85A; and at 85°C, applying a real current of 10A may result in an output of 9.8A.

[0091] Next, the actual current measurement deviation is calculated based on this data. For example, the actual deviation is -0.1A at 25°C, -0.15A at 55°C, and -0.2A at 85°C. These actual deviations are then compared to a pre-stored correspondence between operating temperature and current measurement deviation established based on factory calibration. It is assumed that the pre-stored correspondence predicts a deviation of -0.05A at 25°C, -0.1A at 55°C, and -0.12A at 85°C.

[0092] At this point, the system will detect a significant difference between the actual and predicted deviations (e.g., a difference of -0.05A at 25℃, exceeding the preset limit of 0.03A). In response, the system will activate an adjustment mechanism, using the newly acquired actual deviation data and methods such as regression analysis to update the pre-stored correspondence. For example, the fitting coefficients in the correspondence can be updated so that the new correspondence better reflects the current performance characteristics of the current transformer. Ultimately, during daily operation, once the actual operating temperature of the current transformer core is determined, the system will refer to this adjusted and more accurate correspondence to calculate the current current measurement deviation, thereby ensuring more precise correction of the original current measurement value and improving the overall accuracy of the induction cooker heating power detection.

[0093] In some embodiments of this application, when acquiring the original current measurement values ​​of a current transformer at multiple preset temperature points, conventional methods may directly acquire the signal output by the current transformer. However, in the actual operating environment of commercial induction cookers, complex electromagnetic interference often exists, especially external high-frequency magnetic field interference. This interference can mix into the signal output by the current transformer, causing distortion of the original current measurement value, thereby affecting the accurate estimation of subsequent current measurement deviations and the precision of power calculation. If the above problems are not solved, the power detection results of the induction cooker may have large errors, thus affecting the stable operation and energy efficiency management of the induction cooker. To address this, this application proposes an optimized method for acquiring the original current measurement values ​​of a current transformer at multiple preset temperature points. By performing frequency domain analysis on the current transformer output signal and processing high-frequency interference, the measurement accuracy is improved.

[0094] To this end, the raw current measurements of the current transformer at multiple preset temperature points are obtained, specifically including: S301. Perform frequency domain analysis on the signal output by the current transformer to separate the first information carrying the main power information and the second information representing external high-frequency magnetic field interference.

[0095] The first piece of information, carrying the main power information, usually refers to the fundamental and harmonic components related to the grid frequency (e.g., 50Hz or 60Hz). These components directly reflect the actual operating current of the induction cooker's heating coil. The second piece of information, representing external high-frequency magnetic field interference, usually refers to noise components with frequencies much higher than the grid's fundamental frequency. This noise may originate from switching power supplies, high-frequency resonant circuits, or other external electromagnetic devices.

[0096] Specifically, the primary information can be determined based on the extraction formula; The second information is determined based on the difference between the signal output by the current transformer and the first information; The extraction formula is: y[n]=b0*x[n]+b1*x[n-1]+b2*x[n-2]-a1*y[n-1]-a2*y[n-2] Where x[n] is the original sampling current of the nth sampling point, y[n] is the first information of the nth sampling point, and b0, b1, b2, a1, a2 are filter coefficients calculated in advance based on the power grid frequency and the required bandwidth; x[n-1] is the original sampling current of the (n-1)th sampling point, x[n-2] is the original sampling current of the (n-2)th sampling point, y[n-1] is the first information of the (n-1)th sampling point, and y[n-2] is the first information of the (n-2)th sampling point.

[0097] S302. When the intensity of the second information exceeds the preset limit, adjust the sampling process or apply adaptive filtering to reduce the impact of high-frequency interference on the accuracy of the first information measurement and obtain the corrected first information.

[0098] When the intensity of the second information exceeds a preset limit, it indicates the presence of significant high-frequency interference. At this point, two main strategies can be adopted to reduce its impact on the accuracy of the first information measurement. One is to adjust the sampling process, for example, by increasing the sampling frequency to capture the signal more precisely, or by using synchronous sampling techniques to avoid specific interference periods. The other is to apply adaptive filtering, such as using Kalman filters, Wiener filters, or the LMS (Least Mean Square) algorithm. These filters can dynamically adjust their filtering parameters according to the real-time characteristics of the signal and noise, thereby effectively suppressing high-frequency noise while preserving the main power information to the maximum extent. Through these processes, a purer and more accurate corrected first information can be obtained.

[0099] S303. Based on the corrected first information, obtain the original current measurement values ​​of the current transformer at multiple preset temperature points.

[0100] Based on the revised first information, the original current measurement values ​​of the current transformer at multiple preset temperature points can be accurately obtained. These measurement values ​​will more realistically reflect the actual operating current of the induction cooker.

[0101] This application's solution effectively solves the problem of susceptibility to high-frequency interference when acquiring raw current measurements by introducing frequency domain analysis and an adaptive interference processing mechanism. Specifically, firstly, frequency domain analysis of the current transformer output signal decomposes the complex mixed signal into different frequency components, thus clearly distinguishing the fundamental and low-order harmonics (i.e., first information) related to the induction cooker's power, as well as external high-frequency magnetic field interference (i.e., second information). This separation is difficult to achieve directly using traditional time-domain measurement methods. Secondly, when the intensity of high-frequency interference (second information) exceeds a preset limit, the system can intelligently take countermeasures, such as adjusting the sampling strategy or applying adaptive filtering. Adjusting the sampling process can optimize data acquisition quality from the source, while adaptive filtering can suppress interference in real time based on its dynamic characteristics, ensuring accurate extraction of the main power information even in complex electromagnetic environments. Thus, by effectively separating and suppressing interference in the raw signal, the acquired first information is ensured to have higher purity and accuracy, providing reliable basic data for subsequent current measurement deviation estimation and power calculation.

[0102] In some preferred embodiments, this application is implemented as follows: Assuming that when a commercial induction cooker is working, the signal output by the current transformer contains not only the 50Hz fundamental current information, but also high-frequency noise (e.g., 20kHz) generated by the internal switching power supply of the induction cooker and other high-frequency electromagnetic interference from the external environment.

[0103] First, the analog signal output from the current transformer is converted from analog to digital (ADC) to obtain a series of digital sampling points. Then, these digital sampling points are subjected to frequency domain analysis processing, including Fast Fourier Transform (FFT). In the frequency domain plot, the energy peak near 50Hz (first information) and the energy peak at frequencies of 20kHz and higher (second information) can be clearly observed.

[0104] Next, the system continuously monitors the strength of the second piece of information (high-frequency interference). For example, a preset threshold is set; if the total energy of frequencies at 20kHz and above exceeds this threshold, significant high-frequency interference is identified. At this point, the system can automatically trigger an adaptive filtering module. This module can be a digital bandpass filter with a center frequency set to 50Hz, its bandwidth adjusted according to actual needs, and its coefficients fine-tuned based on the real-time detected noise characteristics to filter out high-frequency noise to the maximum extent possible while retaining the 50Hz fundamental signal.

[0105] Alternatively, as another way to adjust the sampling process, the system can dynamically adjust the sampling frequency or sampling phase of the ADC based on the detected high-frequency interference characteristics to avoid interference peaks or improve the sampling accuracy of the useful signal.

[0106] Through the above processing, clean, corrected first information is extracted from the original mixed signal. Finally, based on this corrected first information, the original current measurement value of the current transformer at the current temperature point is calculated. For example, the effective value of the corrected first information can be calculated as the original current measurement value. These original current measurements, after high-frequency interference suppression, will be used for subsequent current measurement deviation estimation and power calculation, thereby ensuring that the final power detection result is more accurate and reliable.

[0107] In some embodiments described above, an adjustment to the correspondence is triggered when there is a significant difference between the actual current measurement deviation and the pre-stored correspondence between operating temperature and current measurement deviation. However, in practical applications, the performance of the current transformer core degrades over time due to factors such as usage and environmental conditions. This degradation is not a linear process but may go through different stages. If adjustments are made solely based on the difference without fully considering the specific stage of core performance degradation, the adjustment strategy may be inaccurate and unable to effectively address the complex characteristics exhibited by the core at different degradation stages, thereby affecting the long-term stability and accuracy of current measurement deviation correction.

[0108] In response, this application further proposes adjusting the pre-stored correspondence between operating temperature and current measurement deviation when the difference exceeds a preset limit, including: S401. Identify the stage of current transformer core performance degradation based on actual current measurement deviation.

[0109] The stages of current transformer core performance degradation can include: initial degradation, intermediate degradation, or severe degradation.

[0110] For example, a persistent, gradual increase in deviation may indicate that the core is entering a mid-term decline, while a sudden, large fluctuation in deviation may indicate a severe decline.

[0111] S402. Select the corresponding adjustment method based on the identified stage of decline.

[0112] In the initial decay phase, the actual current measurement deviation may exhibit a slight, linear increasing trend. At this point, the system identifies the magnetic core as being in the initial decay phase by analyzing the deviation data. Based on this phase, the system selects a fine-tuning method based on linear regression to update the coefficients of the pre-stored correspondences by a small amount to compensate for the slight deviation.

[0113] Once the mid-term decay phase begins, the actual current measurement deviation may exhibit a more pronounced nonlinear increase and become more sensitive to temperature changes. After identifying the mid-term decay phase, the system selects a more complex nonlinear fitting model (e.g., a fitting formula incorporating quadratic or higher-order terms) as an adjustment method and recalculates the model parameters based on the new deviation data, thereby more accurately capturing the complex characteristics of the magnetic core during mid-term decay.

[0114] When the magnetic core enters a severe degradation phase, the actual current measurement deviation may fluctuate significantly or exhibit abnormal jumps. Upon identifying this severe degradation phase, the system may trigger an early warning mechanism in addition to model adjustments, prompting the user to inspect or replace the current transformer. Adjustments at this stage may include applying larger weighting factors to the model parameters or employing more frequent adaptive learning algorithms to maintain measurement accuracy as much as possible while simultaneously alerting the user to potential equipment failures. Through this phased, adaptive adjustment strategy, this application ensures that the correction of the current measurement deviation always matches the actual physical state of the current transformer core, thereby providing high-precision power detection at different degradation stages.

[0115] S403. Adjust the pre-stored correspondence between the operating temperature and the current measurement deviation according to the corresponding adjustment method.

[0116] Specifically, the change range of the current adjustment parameter within a specific time range can be calculated; the change range can be compared with a preset stability limit; when the change range exceeds the stability limit, an attenuation factor can be applied to the adjustment parameter to limit the rate of change of the adjustment parameter, and the correspondence between the adjusted operating temperature and the current measurement deviation can be smoothed. When the change range does not exceed the stability limit, the adjustment parameters are applied, and the correspondence between the adjusted operating temperature and the current measurement deviation is smoothed.

[0117] Specifically, the "adjustment parameter" can be understood as a coefficient or weight used to modify the correspondence between operating temperature and current measurement deviation; changes in its value directly affect the updating of the correspondence. For example, this adjustment parameter could be a correction amount calculated based on the performance degradation stage of the current transformer core. The "specific time range" refers to a time window used to observe the trend of the adjustment parameter's changes; for example, it could be the most recent N adjustment cycles or a fixed time length. The "variation amplitude" can be obtained by calculating the difference between the maximum and minimum values, standard deviation, or average rate of change of the adjustment parameter within this time range to quantify its fluctuation degree.

[0118] The "preset stability limit" is a threshold used to determine whether the changes in the adjustment parameter are within an acceptable stability range. This stability limit can be set based on empirical data, system requirements, or through experiments. When the calculated change exceeds this stability limit, it indicates that the adjustment parameter has significant fluctuations or abrupt changes, requiring intervention.

[0119] The attenuation factor is a positive number less than 1. Its function is to reduce the actual intensity of the adjustment parameter, thereby "limiting the rate of change of the adjustment parameter" and making its modification of the correspondence more gradual. Simultaneously, to further improve the stability of the correspondence, the relationship between the adjusted operating temperature and the current measurement deviation is "smoothed." Smoothing can be achieved through algorithms such as moving average, exponential smoothing, or low-pass filtering, aiming to eliminate high-frequency noise and short-term fluctuations in the data, making the correspondence curve more continuous and stable.

[0120] In some preferred embodiments, it is assumed that within a certain adjustment period, the current transformer core is identified as being in a "slight degradation" stage based on the actual current measurement deviation, and an adjustment parameter is calculated. For example, a fitting coefficient in the corresponding relationship needs to be increased by 0.05. To evaluate the stability of this adjustment parameter, the system calculates the magnitude of its change over the past 5 minutes. If, within these 5 minutes, the adjusted value of the fitting coefficient fluctuates from 0.01 to 0.06, the magnitude of the change is 0.05.

[0121] Specifically, if the preset stability limit is 0.03, and the currently calculated change of 0.05 exceeds this limit, the system will determine that the current adjustment parameter change is too large. In this case, the system will apply a decay factor, for example, 0.6, to this 0.05 adjustment parameter. The actual applied adjustment will then become 0.05 * 0.6 = 0.03. Subsequently, the system will use this decayed adjustment to update the correlation between operating temperature and current measurement deviation, and perform a moving average smoothing process on the updated correlation curve to ensure a smooth transition.

[0122] Conversely, if the calculated change is 0.02, which does not exceed the preset stability limit of 0.03, the system will directly apply an adjustment parameter of 0.05 to update the correspondence. Similarly, the updated correspondence will be smoothed to maintain its overall continuity and stability. In this way, this application ensures that the response to the performance degradation of the current transformer is both timely and stable, avoiding detection errors caused by oversensitivity or insensitivity.

[0123] This application's solution addresses the issue of potentially inaccurate adjustment strategies in the aforementioned basic scheme by introducing the identification of current transformer core performance degradation stages and selecting corresponding adjustment methods based on these stages. Because core performance degradation is dynamic and non-linear, the degradation characteristics and mechanisms affecting measurement deviations differ across stages. Therefore, by precisely identifying degradation stages, the system can apply the most suitable adjustment strategy for the current core state. This adaptive adjustment based on degradation stages makes the correction of the correlation between operating temperature and current measurement deviation more realistic, avoiding over-correction or under-correction that might occur with a single adjustment strategy, thus ensuring the accuracy and stability of current measurement correction throughout the entire lifespan of the current transformer.

[0124] The above-mentioned identification of the stage of current transformer core performance degradation based on actual current measurement deviation includes: S501: Obtain ambient humidity information, oil fume concentration information, and induction cooker body vibration information.

[0125] Specifically, acquiring information on ambient humidity, cooking fume concentration, and induction cooker vibration refers to collecting these environmental and operational parameters in real time or periodically using corresponding sensors deployed on or around the induction cooker. For example, humidity sensors can be used to acquire ambient humidity information, gas or optical sensors can be used to acquire cooking fume concentration information, and vibration sensors can be used to acquire induction cooker vibration information. This information is considered an important external factor affecting the performance degradation of the current transformer core.

[0126] S502. Correlation analysis of environmental humidity information, oil fume concentration information, induction cooker body vibration information and actual current measurement deviation.

[0127] The correlation analysis of environmental humidity, oil fume concentration, induction cooker vibration, and actual current measurement deviation can be understood as establishing the intrinsic relationship between these environmental and operational parameters and the actual current measurement deviation through data analysis methods. For example, multiple regression analysis, machine learning algorithms (such as support vector machines and neural networks), or expert system rules can be used to quantify the impact of different factors on core performance degradation and current measurement deviation. The aim is to reveal how these factors work together to affect the core degradation process, thereby providing a basis for more accurate judgment of the degradation stage.

[0128] 503. Based on the correlation analysis results, revise the judgment of the stage of current transformer core performance degradation.

[0129] In practical applications, based on the correlation analysis results, the stage at which the current transformer core performance has deteriorated is corrected. Specifically, this involves adjusting and optimizing the initial assessment of the deterioration stage based solely on actual current measurement deviations, using the model or rules established by the aforementioned correlation analysis. For example, if the actual current measurement deviation indicates that the core is in a certain deterioration stage, but the correlation analysis results show excessively high ambient humidity or persistently high oil fume concentration, it may be necessary to correct the deterioration stage to a more severe or earlier stage to allow for earlier intervention. The aim is to improve the accuracy and robustness of the deterioration stage assessment and avoid misjudgments due to the limitations of a single indicator.

[0130] In some preferred embodiments, a specific example is given below. Assume that during the operation of a commercial induction cooker, the operating temperature of the current transformer, ambient humidity, fume concentration, and vibration of the induction cooker are acquired in real time using temperature sensors, humidity sensors, fume concentration sensors, and vibration sensors. Simultaneously, the actual current measurement deviation is calculated according to the aforementioned method. Specifically, the system first acquires the actual current measurement deviation and, based on a preset threshold, initially determines that the magnetic core may be in a "slight degradation" stage. However, during correlation analysis, the system finds that the current ambient humidity is consistently higher than normal (e.g., exceeding 80%), and the fume concentration is also at a high level (e.g., exceeding 500 ppm), while the induction cooker's vibration indicates slight but persistent abnormal vibration. At this point, the system invokes a pre-trained correlation analysis model (e.g., a machine learning-based classifier or a multi-factor weighted model). This model uses the actual current measurement deviation, high humidity, high fume concentration, and abnormal vibration as input features. According to the model's output, although the actual current measurement deviation, viewed in isolation, might only indicate "mild degradation," considering these unfavorable environmental and operating conditions, the model might revise the judgment to a "moderate degradation" stage. Therefore, the system no longer relies solely on the single indicator of actual current measurement deviation, but comprehensively considers the impact of multiple factors on core performance, thus making a more accurate correction judgment on the core's degradation stage. This corrected judgment will guide the selection of subsequent adjustment methods; for example, a more aggressive adjustment strategy might be chosen to update the correspondence between operating temperature and current measurement deviation, to more effectively compensate for measurement errors caused by core performance degradation and ensure the accuracy of power detection.

[0131] This application's solution overcomes the limitations of relying solely on actual current measurement deviations to identify the performance degradation stage of current transformer cores by incorporating environmental humidity, oil fume concentration, and induction cooker vibration information, and then correlating these multi-source data with actual current measurement deviations. Since core performance degradation is not caused by a single factor but is the result of the combined effects of environmental erosion, mechanical stress, and temperature changes, this additional information provides a more comprehensive view of the core's health status. For example, high humidity and oil fumes can accelerate the aging of core materials and reduce insulation performance, while abnormal vibrations can cause structural damage to the core. By considering these external influencing factors and comprehensively analyzing them with actual current measurement deviations, the true trajectory and current stage of core performance degradation can be captured more accurately. This multi-dimensional data fusion and analysis makes the judgment of degradation stages no longer a simple threshold comparison, but a comprehensive assessment based on deeper physical mechanisms and operating environment, thus significantly improving the accuracy and reliability of identification.

[0132] like Figure 3 As shown, this embodiment of the invention also provides a sensor-based commercial induction cooker heating power detection system. The system includes: The acquisition module is used to acquire the operating temperature of the current transformer and the raw current measurement value of the output; the operating temperature is acquired by a temperature sensor located next to the current transformer. The deviation calculation module is used to calculate the current measurement deviation of the current transformer based on the operating temperature and with reference to the pre-established correspondence between the operating temperature and the current measurement deviation. The current correction module is used to correct the original current measurement value based on the calculated current measurement deviation, so as to obtain the corrected current measurement value. The power calculation module is used to calculate the power consumption of the heating coil of the induction cooker based on the corrected current measurement value.

[0133] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be executed by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be an internal storage unit of the task execution device (including a data sending end and / or a data receiving end) of any of the foregoing embodiments, such as the hard disk or memory of the task execution device. The computer-readable storage medium can also be an external storage device of the terminal device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device. Further, the computer-readable storage medium can include both the internal storage unit of the task execution device and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by the task execution device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0134] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0135] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0136] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.

Claims

1. A sensor-based method for detecting the heating power of a commercial induction cooker, characterized in that, include: Obtain the operating temperature of the current transformer and the original current measurement value of the output; The operating temperature is obtained by a temperature sensor located immediately adjacent to the current transformer; Based on the operating temperature and referring to the pre-established correspondence between the operating temperature and the current measurement deviation, the current measurement deviation of the current transformer is calculated. Based on the calculated current measurement deviation, the original current measurement value is corrected to obtain the corrected current measurement value. Based on the corrected current measurement value, the power consumption of the heating coil of the induction cooker is calculated.

2. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 1, characterized in that, The step of calculating the current measurement deviation of the current transformer based on the operating temperature and referring to a pre-established correspondence between the operating temperature and the current measurement deviation includes: The raw temperature data provided by the temperature sensor is acquired, and the raw temperature data is preliminarily processed to obtain preliminarily processed temperature data. When the rate of change of the pre-processed temperature data over time exceeds the upper limit of the temperature change rate of the current transformer core, an estimated temperature value is adjusted based on the upper limit of the temperature change rate of the current transformer core as the actual operating temperature of the current transformer core. When the rate of change of the pre-processed temperature data over time does not exceed the upper limit of the temperature change rate of the current transformer core, the pre-processed temperature data is taken as the true operating temperature of the current transformer core. Based on the actual operating temperature of the current transformer core and referring to the pre-established correspondence between the operating temperature and the current measurement deviation, the current measurement deviation of the current transformer is calculated.

3. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 2, characterized in that, The step of calculating the current measurement deviation of the current transformer based on the actual operating temperature of the current transformer core and referring to the pre-established correspondence between the operating temperature and the current measurement deviation includes: Obtain the raw current measurement values ​​of the current transformer at multiple preset temperature points; Obtain the actual current value corresponding to the original current measurement value; Calculate the actual current measurement deviation between the original current measurement value and the true current value; Compare the difference between the actual current measurement deviation and the pre-stored correspondence between the operating temperature and current measurement deviation; When the difference exceeds a preset limit, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted. Based on the adjusted correspondence between the operating temperature and the current measurement deviation, and combined with the actual operating temperature of the current transformer core, the current measurement deviation of the current transformer is calculated.

4. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 3, characterized in that, The acquisition of the original current measurement values ​​of the current transformer at multiple preset temperature points includes: Frequency domain analysis of the current transformer output signal is performed to separate the first information carrying the main power information and the second information representing external high-frequency magnetic field interference. When the intensity of the second information exceeds a preset limit, the sampling process is adjusted or adaptive filtering is applied to reduce the impact of high-frequency interference on the accuracy of the first information measurement, and the corrected first information is obtained. Based on the corrected first information, the original current measurement values ​​of the current transformer at multiple preset temperature points are obtained.

5. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 4, characterized in that, The frequency domain analysis of the signal output from the current transformer separates the first information carrying the main power information and the second information representing external high-frequency magnetic field interference, including: The first information is determined according to the extraction formula; The second information is determined based on the difference between the signal output by the current transformer and the first information; The extraction formula is: y[n]=b0*x[n]+b1*x[n-1]+b2*x[n-2]-a1*y[n-1]-a2*y[n-2] Where x[n] is the original sampling current of the nth sampling point, y[n] is the first information of the nth sampling point, and b0, b1, b2, a1, a2 are filter coefficients calculated in advance based on the power grid frequency and the required bandwidth; x[n-1] is the original sampling current of the (n-1)th sampling point, x[n-2] is the original sampling current of the (n-2)th sampling point, y[n-1] is the first information of the (n-1)th sampling point, and y[n-2] is the first information of the (n-2)th sampling point.

6. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 3, characterized in that, When the difference exceeds a preset limit, adjusting the pre-stored correspondence between the operating temperature and the current measurement deviation includes: Based on the actual current measurement deviation, identify the stage of current transformer core performance degradation. Select the corresponding adjustment method based on the identified stage of decline; According to the corresponding adjustment method, the pre-stored correspondence between the operating temperature and the current measurement deviation is adjusted.

7. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 6, characterized in that, The step of identifying the stage of current transformer core performance degradation based on the actual current measurement deviation includes: Acquire information on ambient humidity, oil fume concentration, and vibration of the induction cooker itself; The correlation analysis is performed between the environmental humidity information, the oil fume concentration information, the vibration information of the induction cooker body, and the deviation of the actual current measurement. Based on the correlation analysis results, the stage at which the current transformer core performance has deteriorated is corrected.

8. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 6, characterized in that, The adjustment of the pre-stored correspondence between the operating temperature and the current measurement deviation includes: Calculate the magnitude of change of the current adjustment parameter within a specific time range; The magnitude of the change is compared with a preset stability limit; When the change exceeds the stability limit, an attenuation factor is applied to the adjustment parameter to limit the rate of change of the adjustment parameter, and the correspondence between the adjusted operating temperature and the current measurement deviation is smoothed. When the change amplitude does not exceed the stability limit, the adjustment parameters are applied, and the correspondence between the adjusted operating temperature and the current measurement deviation is smoothed.

9. The sensor-based method for detecting the heating power of a commercial induction cooker according to claim 1, characterized in that, The pre-established correspondence between the operating temperature and the current measurement deviation is as follows: I P =a*T 2 +b*T+c+d*I S +e*I S 2 ; Among them, I P The current measurement deviation is represented by a, b, c, d, and e, which are preset fitting coefficients, and T is the operating temperature. S This represents the actual current.

10. A sensor-based commercial induction cooker heating power detection system, characterized in that, The system includes: The acquisition module is used to acquire the operating temperature of the current transformer and the raw current measurement value output; the operating temperature is acquired by a temperature sensor located adjacent to the current transformer. The deviation calculation module is used to calculate the current measurement deviation of the current transformer based on the operating temperature and with reference to a pre-established correspondence between the operating temperature and the current measurement deviation. The current correction module is used to correct the original current measurement value based on the calculated current measurement deviation, so as to obtain the corrected current measurement value. The power calculation module is used to calculate the power consumption of the heating coil of the induction cooker based on the corrected current measurement value.

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