Cooker energy efficiency test method and system based on artificial intelligence

Abstract

The invention discloses a cooker energy efficiency testing method and system based on artificial intelligence, and relates to the field of energy efficiency testing, and the method comprises the steps: S1, obtaining a rated difference result of a power interface; s2, obtaining a time sequence electrical stability coefficient of each circuit of the electromagnetic cooker to be tested; s3, obtaining a transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested; s4, obtaining an electrical stability correction factor of each circuit of the electromagnetic cooker to be tested; and S5, performing energy efficiency measurement and calculation on the to-be-measured electromagnetic cooker to obtain an energy efficiency measurement and calculation result of the to-be-measured electromagnetic cooker. The invention provides a cooker energy efficiency test method based on artificial intelligence, and the method comprises the steps: correcting the rated difference of a power supply, monitoring the electrical fluctuation condition of each circuit of a to-be-tested electromagnetic cooker, monitoring the transient anti-interference condition of each circuit of the to-be-tested electromagnetic cooker, and carrying out the comprehensive analysis and processing of the transient anti-interference condition and the electrical fluctuation condition. Actual electrical fluctuation interference on each circuit is obtained, the accuracy of a test result is improved, and the difference between the test result and a real energy efficiency level is further reduced.

Description

Technical Field

[0001] The present invention relates to the field of energy efficiency testing, and in particular to an artificial intelligence-based stove energy efficiency testing method and system. Background Art

[0002] Traditional methods of testing the energy efficiency of stoves often rely on manual operation, which is not only time-consuming but also prone to errors. Artificial intelligence systems can monitor the operating status of stoves in real time and quickly analyze large amounts of data. With the continuous advancement of stove technology, new energy efficiency testing standards and methods are also constantly being refined, and the division of energy efficiency levels is more stringent. In the energy efficiency test, it is necessary to exclude the influence of irrelevant factors as much as possible to ensure the accuracy of the energy efficiency test.

[0003] The prior art, such as announcement number: CN111695227B, is a method for evaluating the heating uniformity of a stove. An infrared camera is arranged above the stove, and the position of the infrared camera is adjusted so that the center position of the infrared image collected by the infrared camera coincides with the center of the stove gas burner. A frying pan is placed on the stove, and the stove burner is turned on. The infrared camera takes an infrared image, and the infrared temperature images at three consecutive moments are processed to obtain a stove heating uniformity parameter TDF based on temperature and a stove heating uniformity parameter QDF based on heating intensity.

[0004] The prior art, such as the announcement number: CN106547998B, is a gas stove optimization design evaluation method and its test system, including the following steps: ① typical sample selection; ② establishment of sample three-dimensional geometric model; ③ sample experimental test research: including a. establishment of experimental system for testing, b. simulation of the sample based on experimental test data as boundary conditions; ④ judgment and correction of simulation results based on measured data; ⑤ application of verified gas flow and combustion model to all experimental samples for verification test and simulation; ⑥ use of simulation to guide design. The test experimental system used in this method consists of a gas supply part, a gas appliance performance test part and a control host with a signal conversion module.

[0005] Based on the above scheme, it can be seen that the existing technology often focuses on analyzing the process of stove testing through simulation or image analysis when testing stoves. In actual testing, only relying on images to test stoves usually leads to inaccurate test results due to too thin data. The accuracy of simulation testing depends on the complexity of the simulation conditions. If the simulation conditions are simplified too much or the parameters are not set accurately, it usually leads to a large deviation between the simulation results and the actual situation. Therefore, it is necessary to fully consider the factors that will affect the accuracy of stove test results in actual testing. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a stove energy efficiency testing method and system based on artificial intelligence. To achieve the above purpose, the present invention is implemented through the following technical solutions: a stove energy efficiency testing method and system based on artificial intelligence, including: a stove energy efficiency testing method based on artificial intelligence, including: S1. Before testing, retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested, compare them with the rated power parameters, and obtain the rated difference result of the power interface.

[0007] S2. During the test period, the timing electrical parameters of each circuit of the electromagnetic cooker to be tested are monitored during the test period, the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested are obtained by analysis, and the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested is obtained by analysis and processing.

[0008] S3. During the test period, synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested.

[0009] S4. Based on the sequential electrical stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested, a comprehensive analysis and processing is performed to obtain an electrical stability correction factor of each circuit of the electromagnetic cooker to be tested.

[0010] S5. After the test period ends, the energy efficiency of the electromagnetic cooker to be tested is calculated to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0011] As a preferred technical solution, the original power parameters at the power interface of the electromagnetic cooker to be tested are retrieved and compared with the rated power parameters. The specific process is as follows: Before the test period, a test load adjustment device is connected to the power interface of the electromagnetic cooker to be tested, and the load of the device is adjusted to the total circuit component load of the electromagnetic cooker to be tested to perform a power supply test.

[0012] The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested include sequential input voltage, sequential input current, sequential power supply frequency and sequential power factor.

[0013] The rated power supply parameters include rated input voltage, rated input current, rated power supply frequency and rated power factor.

[0014] The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested are compared with the rated power supply parameters to obtain the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power supply interface of the electromagnetic cooker to be tested.

[0015] As a preferred technical solution, obtaining the rated difference result of the power interface specifically includes: The voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are comprehensively processed and analyzed to obtain the rated difference result at the power interface of the electromagnetic cooker to be tested.

[0016] The rated difference result at the power interface of the electromagnetic cooker to be tested includes an eliminateable difference and an irremovable difference.

[0017] If the rated difference result at the power interface of the electromagnetic cooker to be tested is that the difference can be eliminated, the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are mapped and matched with the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor corresponding to the voltage deviation rate interval, current deviation rate interval, frequency offset interval and power factor deviation value interval pre-stored in the built-in database of the artificial intelligence data processing terminal, respectively, to obtain the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor at the power interface of the electromagnetic cooker to be tested, and import them into the artificial intelligence data processing terminal, and comprehensively process them into the rated difference correction factor at the power interface of the electromagnetic cooker to be tested.

[0018] If the rated difference result at the power interface of the electromagnetic cooker to be tested is an irreconcilable difference, the rated difference result at the power interface of the electromagnetic cooker to be tested is sent to the display area of ​​the artificial intelligence data processing terminal to remind the user to replace the power supply.

[0019] As a preferred technical solution, the monitoring of the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period and the analysis of the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested specifically include: The sequential electrical parameters of each circuit during the test period include the sequential voltage, sequential current harmonic content and instantaneous power fluctuation value of each circuit.

[0020] The periodic fluctuation parameters of the electrical parameters of the circuits include voltage fluctuation coefficient, current harmonic distortion rate and power fluctuation frequency.

[0021] The specific analysis process includes: Based on the timing voltage of each circuit, average value processing is performed to obtain the average voltage of each circuit in the test period, and standard deviation processing is performed to obtain the voltage standard deviation of each circuit in the test period. The average voltage and voltage standard deviation of each circuit in the test period are ratio analyzed to obtain the voltage fluctuation coefficient of each circuit.

[0022] Based on the sequential current harmonic content of each circuit, the time domain current signal is converted into the frequency domain through fast Fourier transform, the sequential current harmonic fundamental wave and the amplitude of each harmonic of each circuit are extracted, and the current harmonic distortion rate of each circuit is calculated based on the distortion rate calculation formula. The current harmonic distortion rate is used to characterize the degree to which the current waveform deviates from the ideal sine wave, reflecting the impact of harmonic pollution on the circuit.

[0023] Based on the instantaneous power fluctuation value of each circuit, Fourier transform is performed to extract the frequency component with the largest energy as the power fluctuation frequency of each circuit, and the power fluctuation frequency is used to evaluate the dynamic characteristics of circuit load changes.

[0024] As a preferred technical solution, the analysis and processing to obtain the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested specifically includes: Based on the timing electrical parameters of each circuit during the test period, the periodic fluctuation parameters of each electrical parameter of each circuit are introduced at the same time, and the voltage stability index, current harmonic stability index and power fluctuation attenuation rate of each circuit are analyzed and processed. Then, the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested is obtained by joint analysis.

[0025] The voltage stability index is used to reflect the proportion of the voltage fluctuation amplitude relative to the rated value. The specific processing process includes: extracting the maximum voltage and the minimum voltage during the test period from the timing voltage of each circuit, and obtaining the voltage stability index of each circuit based on a comprehensive analysis of the voltage fluctuation coefficient of each circuit.

[0026] The current harmonic stability index is used to characterize the fluctuation degree of harmonic content. The specific processing process includes: calculating the average value and standard deviation of the sequential current harmonic content of each circuit in the test period, and recording the ratio of the average value to the standard deviation as the initial current harmonic stability index of each circuit, and introducing the current harmonic distortion rate for correction to obtain the current harmonic stability index of each circuit.

[0027] The power fluctuation attenuation rate is used to reflect the attenuation characteristics of power fluctuation energy with frequency. The specific processing process includes: extracting the instantaneous power fluctuation peak value from the instantaneous power fluctuation value of each circuit and calculating the instantaneous power fluctuation average value, obtaining the power fluctuation attenuation rate of each circuit based on a comprehensive analysis and processing based on the rated power of each circuit, and then introducing the power fluctuation frequency of each circuit to calculate and obtain the power fluctuation attenuation rate of each circuit.

[0028] As a preferred technical solution, the synchronous monitoring of the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and the analysis and processing to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested specifically include: The transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period include power transient response time, transient overshoot amplitude and common mode noise suppression ratio of each circuit.

[0029] Based on the power transient response time of each circuit, the instantaneous phase difference between the voltage and current waveforms is calculated, and the maximum phase shift is extracted as the phase angle offset of each circuit. The phase angle offset is used to reflect the synchronization of voltage and current of the circuit under dynamic working state and to evaluate the system stability.

[0030] Based on the transient overshoot amplitude and common mode noise suppression ratio of each circuit, the transient recovery primary index of each circuit is obtained through comprehensive analysis after standardization.

[0031] The transient anti-interference coefficient of each circuit is obtained by analyzing the phase angle offset and transient recovery primary index of each circuit. The transient anti-interference coefficient is used to quantify the speed of system recovery from transient disturbance and phase synchronization capability. The specific processing process includes: obtaining the power frequency period based on the rated frequency of the power supply, and introducing the phase angle offset and the degree of deviation of the critical phase angle of each circuit in combination with the transient recovery basic index of each circuit, quantifying the influence of the coupling of each parameter, and obtaining the transient anti-interference coefficient.

[0032] As a preferred technical solution, the electric stability correction factor of each circuit of the electromagnetic cooker to be tested is obtained by comprehensive analysis and processing based on the sequential electric stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested, which specifically includes: The timing electric stability coefficient and the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested are subtracted, and the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested is analyzed and obtained. Based on the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested, the electric stability correction factor corresponding to each comprehensive electric interference reference index interval is obtained by mapping and matching with each comprehensive electric interference reference index interval extracted from the database built into the artificial intelligence data processing terminal, and the electric stability correction factor of each circuit of the electromagnetic cooker to be tested is obtained.

[0033] As a preferred technical solution, the energy efficiency measurement of the electromagnetic cooker to be measured specifically includes: The preliminary energy efficiency calculation parameters of the electromagnetic cooker to be tested are obtained, and the input power of the electromagnetic cooker to be tested is corrected based on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested and the power stability correction factor of each circuit.

[0034] As a preferred technical solution, the energy efficiency calculation result of the electromagnetic cooker to be tested is obtained under the following specific processing conditions: Based on the corrected total input electric energy of the electromagnetic cooker to be tested, the heat absorption of the test liquid during the test period is obtained to obtain the total output thermal energy of the electromagnetic cooker to be tested, and the energy efficiency of the electromagnetic cooker to be tested is calculated using the thermal effect formula to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0035] In addition, a stove energy efficiency testing system based on artificial intelligence is also provided, including: The power interface test module is used to retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested before the test, compare them with the rated power parameters, and obtain the rated difference results of the power interface.

[0036] The electrical stability monitoring module is used to monitor the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period, analyze and obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested, and analyze and process to obtain the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested.

[0037] The anti-interference monitoring module is used to synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested.

[0038] The data processing module is used to obtain the electric stability correction factor of each circuit of the electromagnetic cooker to be tested by comprehensive analysis and processing based on the time-series electric stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested.

[0039] The energy efficiency calculation module is used to calculate the energy efficiency of the electromagnetic cooker to be tested after the test period ends, and obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0040] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects: (1) The present invention provides a method for testing the energy efficiency of a cooker based on artificial intelligence, which obtains a more accurate test result of the energy efficiency of the cooker by testing at the power interface of the electromagnetic cooker to be tested and correcting the rated difference. The artificial intelligence data processing terminal can quickly calculate the correction factor, reducing the time for manual calculation and adjustment.

[0041] (2) By monitoring the electrical fluctuations of each circuit of the electromagnetic cooker to be tested during the test period, the accuracy of the test results can be improved, ensuring that the test results are closer to the actual energy efficiency level of the cooker, while ensuring the fairness of the test conditions, so that the test processes of different cookers meet the energy efficiency test standards. At the same time, the error of the test results can be reduced, avoiding repeated testing and unnecessary cost waste caused by inaccurate test results.

[0042] (3) By monitoring the transient anti-interference conditions of each circuit of the electromagnetic cooker under test during the test period and conducting a comprehensive analysis and processing with the electrical fluctuation conditions, the actual electrical fluctuation interference to each circuit of the electromagnetic cooker under test during the test period can be obtained, thereby improving the accuracy of the test results and further narrowing the gap between the test results and the actual energy efficiency level.

[0043] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the method flow of the present invention; Figure 2 It is a schematic diagram of the system module of the present invention; Figure 3 Schematic diagram of the basic structure of the internal circuit of the electromagnetic cooker to be tested in the embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0047] See also Figure 1 As shown, an embodiment of the present invention provides a method for testing energy efficiency of a cooker based on artificial intelligence, comprising: S1. Before testing, retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested, compare them with the rated power parameters, and obtain the rated difference result of the power interface.

[0048] The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested are retrieved and compared with the rated power supply parameters. The specific process is as follows: Before the test period, a test load adjustment device is connected to the power interface of the electromagnetic cooker to be tested, and the load of the device is adjusted to the total circuit component load of the electromagnetic cooker to be tested to perform a power supply test.

[0049] The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested include sequential input voltage, sequential input current, sequential power supply frequency and sequential power factor.

[0050] The rated power supply parameters include rated input voltage, rated input current, rated power supply frequency and rated power factor.

[0051] The original power supply parameters refer to the power supply input characteristic parameters dynamically collected over time during the test process, reflecting the real-time electrical status of the induction cooker when it is actually working.

[0052] The timing input voltage refers to the instantaneous value sequence of voltage collected in real time at the power interface (unit: V). It reflects the dynamic fluctuation characteristics of the power supply voltage. A high-precision voltage sensor (in the embodiment of the present invention, a Hall effect sensor) is used to record the waveform through a high-speed data acquisition card.

[0053] Sequential input current refers to the instantaneous current value sequence (unit: A) collected in real time at the power interface. It is used to characterize the dynamic changes and harmonic characteristics of the load. Harmonic analysis is performed using a current transformer in conjunction with a power analyzer.

[0054] Sequential power frequency refers to the instantaneous value sequence of power supply frequency measured in real time (unit: Hz). It is used to evaluate the stability of power grid frequency. It is recorded in real time by frequency counter using FFT spectrum analysis method.

[0055] The time series power factor refers to the power factor value sequence calculated in real time, which is used to reflect the effective utilization rate of electric energy.

[0056] The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested are compared with the rated power supply parameters to obtain the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power supply interface of the electromagnetic cooker to be tested.

[0057] The voltage deviation rate indicates the ratio of the absolute value of the difference between the timing input voltage and the rated voltage to the rated voltage as a percentage. The current deviation rate indicates the ratio of the absolute value of the difference between the timing input current and the rated current to the rated current as a percentage. The frequency offset indicates the absolute difference between the timing power supply frequency and the rated frequency. The power factor deviation value indicates the absolute difference between the timing power factor and the rated power factor.

[0058] The obtaining of the rated difference result of the power interface specifically includes: The voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are comprehensively processed and analyzed to obtain the rated difference result at the power interface of the electromagnetic cooker to be tested. The specific processing method is as follows: ; Where A is the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested, is the voltage deviation rate at the power interface of the electromagnetic cooker to be tested, is the current deviation rate at the power interface of the electromagnetic cooker to be tested, is the frequency offset at the power interface of the electromagnetic cooker to be tested, is the power factor deviation value at the power interface of the electromagnetic cooker to be tested, is the voltage deviation rate weight factor, is the current deviation rate weight factor, is the frequency offset weight factor, is the weight factor of the power factor deviation value at the power interface of the electromagnetic cooker to be tested.

[0059] It should be noted that the voltage deviation rate weight factor, current deviation rate weight factor, frequency offset weight factor and power factor deviation value weight factor all have a value range between 0 and 1 and satisfy The voltage deviation rate weight factor is an influencing factor of the voltage deviation rate pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the voltage deviation rate on the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested; the current deviation rate weight factor is an influencing factor of the current deviation rate pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the current deviation rate on the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested; the frequency offset weight factor is an influencing factor of the frequency offset pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the frequency offset on the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested; the power factor deviation value The weight factor is an influencing factor of the power factor deviation value pre-stored in the built-in database of the artificial intelligence data processing terminal, which indicates the degree of influence of the power factor deviation value on the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested. When used, it is directly extracted from the built-in database of the artificial intelligence data processing terminal. For example, after the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are input into the preset mapping set in the built-in database of the artificial intelligence data processing terminal, the voltage deviation rate weight factor, current deviation rate weight factor, frequency offset weight factor and power factor deviation value weight factor at the power interface of the electromagnetic cooker to be tested are obtained, and the corresponding mapping relationship is one-to-one.

[0060] It should also be noted that there is a certain correlation between the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested. The voltage deviation rate affects the current deviation rate. If the voltage increases, the current usually decreases for a constant power load, and vice versa. For nonlinear loads, voltage fluctuations usually cause distortion of the current waveform, thereby increasing the current deviation rate. Frequency offset refers to the difference between the actual power frequency and the nominal grid frequency. Frequency offset usually affects the operating efficiency of the motor, thereby indirectly affecting the stability of current and voltage. The power factor deviation value is related to the phase difference between voltage and current. If there is a phase difference between voltage and current, the power factor will decrease. Waveform distortion of voltage and current (caused by nonlinear loads) will cause a decrease in power factor. Voltage deviation and frequency offset usually affect the operating state of the motor, thereby affecting its power factor.

[0061] The rated difference result at the power interface of the electromagnetic cooker to be tested includes an eliminateable difference and an irremovable difference.

[0062] The rated difference evaluation value at the power interface of the electromagnetic cooker to be tested is compared and analyzed with the rated difference evaluation threshold value pre-stored in the built-in database of the artificial intelligence data processing terminal. If the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested is greater than or equal to the rated difference evaluation threshold value, the rated difference result at the power interface of the electromagnetic cooker to be tested is determined to be an irremovable difference; if the rated difference evaluation value at the power interface of the electromagnetic cooker to be tested is less than the rated difference evaluation threshold value, the rated difference result at the power interface of the electromagnetic cooker to be tested is determined to be an removable difference.

[0063] The removable differences are differences that can be analyzed, processed and corrected by the artificial intelligence data processing terminal involved in the embodiment of the present invention.

[0064] The irreconcilable differences are differences that cannot be analyzed, processed, or corrected by the artificial intelligence data processing terminal involved in the embodiment of the present invention.

[0065] If the rated difference result at the power interface of the electromagnetic cooker to be tested is that the difference can be eliminated, the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are mapped and matched with the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor corresponding to the voltage deviation rate interval, current deviation rate interval, frequency offset interval and power factor deviation value interval pre-stored in the built-in database of the artificial intelligence data processing terminal, respectively, to obtain the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor at the power interface of the electromagnetic cooker to be tested, and import them into the artificial intelligence data processing terminal, and comprehensively process them into the rated difference correction factor at the power interface of the electromagnetic cooker to be tested. The specific processing process includes: ; in, is the rated difference correction factor at the power interface of the electromagnetic cooker to be tested, is the voltage deviation correction factor at the power interface of the electromagnetic cooker to be tested, is the current deviation rate correction factor at the power interface of the electromagnetic cooker to be tested, is the frequency offset correction factor at the power interface of the electromagnetic cooker to be tested, is the power factor deviation correction factor at the power interface of the electromagnetic cooker to be tested, is the voltage deviation correction weight, is the current deviation correction weight, is the frequency offset correction weight, is the power factor deviation correction weight.

[0066] It should be noted that the voltage deviation correction weight, current deviation correction weight, frequency offset correction weight and power factor deviation correction weight all have a value range between 0 and 1 and satisfy The voltage deviation correction weight is the influence factor of the voltage deviation correction factor stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the voltage deviation correction factor on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested; the current deviation correction weight is the influence factor of the current deviation rate correction factor stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the current deviation rate correction factor on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested; the frequency offset correction weight is the influence factor of the frequency offset correction factor stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the frequency offset correction factor on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested; the power factor deviation correction weight is the influence factor of the frequency offset correction factor stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the frequency offset correction factor on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested; The deviation correction weight is an influencing factor of the power factor deviation correction factor pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the power factor deviation correction factor on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested. When used, it is directly extracted from the built-in database of the artificial intelligence data processing terminal. For example, the voltage deviation rate weight factor, current deviation rate weight factor, frequency offset weight factor and power factor deviation value weight factor at the power interface of the electromagnetic cooker to be tested are input into the preset mapping set in the built-in database of the artificial intelligence data processing terminal to obtain the voltage deviation correction weight, current deviation correction weight, frequency offset correction weight and power factor deviation correction weight at the power interface of the electromagnetic cooker to be tested, and the corresponding mapping relationship is one-to-one.

[0067] If the rated difference result at the power interface of the electromagnetic cooker to be tested is an irreconcilable difference, the rated difference result at the power interface of the electromagnetic cooker to be tested is sent to the display area of ​​the artificial intelligence data processing terminal to remind the user to replace the power supply.

[0068] S2. During the test period, the timing electrical parameters of each circuit of the electromagnetic cooker to be tested are monitored during the test period, the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested are obtained by analysis, and the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested is obtained by analysis and processing.

[0069] In the embodiment of the present invention, the electromagnetic cooker to be tested is equipped with a power supply circuit, a control circuit and an operation display circuit. Figure 3 shown.

[0070] The power circuit is the energy input and conversion module of the induction cooker, which is responsible for converting the external AC power into electrical energy suitable for the operation of the various circuits inside the induction cooker.

[0071] The control circuit is responsible for coordinating the work of each module to achieve heating control, fault detection and user interaction.

[0072] The operation display circuit is responsible for receiving user input and displaying the working status.

[0073] The monitoring of the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period and the analysis to obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested specifically include: The sequential electrical parameters of each circuit during the test period include the sequential voltage, sequential current harmonic content and instantaneous power fluctuation value of each circuit.

[0074] Timing electrical parameters refer to electrical quantities that change with time during the test period and reflect the dynamic characteristics of the circuit.

[0075] Sequential voltage refers to the sequence value (unit: V) of the voltage at a certain point in the circuit changing with time, reflecting the dynamic fluctuation characteristics of the voltage.

[0076] The time series current harmonic content refers to the sequence value of each harmonic component in the current that changes with time (unit: A). It represents the degree of distortion of the current waveform.

[0077] The instantaneous power fluctuation value refers to the fluctuation amount of the instantaneous power from the average power (unit: W), which reflects the dynamic change characteristics of the load.

[0078] The periodic fluctuation parameters of the electrical parameters of the circuits include voltage fluctuation coefficient, current harmonic distortion rate and power fluctuation frequency.

[0079] The periodic fluctuation parameter refers to a quantitative index extracted from the timing electrical parameters that reflects the periodic fluctuation characteristics.

[0080] The voltage fluctuation coefficient is the ratio of the voltage standard deviation to the average voltage. It is used to reflect the degree of discreteness of voltage fluctuation.

[0081] The current harmonic distortion rate refers to the ratio of the harmonic current effective value to the fundamental current effective value. It is used to characterize the degree to which the current waveform deviates from the ideal sine wave.

[0082] Power fluctuation frequency refers to the main frequency component of power fluctuation (unit: Hz).

[0083] The specific analysis process includes: Based on the timing voltage of each circuit, average value processing is performed to obtain the average voltage of each circuit in the test period, and standard deviation processing is performed to obtain the voltage standard deviation of each circuit in the test period. The average voltage and voltage standard deviation of each circuit in the test period are ratio analyzed to obtain the voltage fluctuation coefficient of each circuit.

[0084] Based on the sequential current harmonic content of each circuit, the time domain current signal is converted into the frequency domain through fast Fourier transform, the sequential current harmonic fundamental wave and the amplitude of each harmonic of each circuit are extracted, and the current harmonic distortion rate of each circuit is calculated based on the distortion rate calculation formula. The current harmonic distortion rate is used to characterize the degree to which the current waveform deviates from the ideal sine wave, reflecting the impact of harmonic pollution on the circuit.

[0085] Based on the instantaneous power fluctuation value of each circuit, Fourier transform is performed to extract the frequency component with the largest energy as the power fluctuation frequency of each circuit, and the power fluctuation frequency is used to evaluate the dynamic characteristics of circuit load changes.

[0086] Fourier transform is a mathematical transformation that converts a signal in the time domain to the frequency domain. Fourier transform can decompose a complex signal into a superposition of a series of simple sine waves and cosine waves. These sine waves and cosine waves are called the frequency components of the signal.

[0087] The analysis and processing to obtain the sequential electrical stability coefficient of each circuit of the electromagnetic cooker to be tested specifically includes: Based on the timing electrical parameters of each circuit during the test period, the periodic fluctuation parameters of each electrical parameter of each circuit are introduced at the same time, and the voltage stability index, current harmonic stability index and power fluctuation attenuation rate of each circuit are analyzed and processed. Then, the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested is obtained by joint analysis.

[0088] The timing electrical stability coefficient refers to a quantitative indicator that comprehensively reflects the stability of the circuit under dynamic conditions.

[0089] The voltage stability index is used to reflect the proportion of the voltage fluctuation amplitude relative to the rated value. The specific processing process includes: extracting the maximum voltage and the minimum voltage in the test period from the timing voltage of each circuit, and obtaining the voltage stability index of each circuit based on the voltage fluctuation coefficient of each circuit. It is used to reflect the absolute amplitude of the voltage fluctuation.

[0090] ; in, For the The voltage stability index of a circuit, For the The maximum voltage of the circuit, For the The minimum voltage of the circuit, For the The rated voltage of the circuit, For the The voltage fluctuation coefficient of a circuit, is the circuit number, .

[0091] The current harmonic stability index is used to characterize the fluctuation degree of harmonic content. The specific processing process includes: calculating the average value and standard deviation of the sequential current harmonic content of each circuit in the test period, and recording the ratio of the average value and the standard deviation as the initial current harmonic stability index of each circuit, and introducing the current harmonic distortion rate for correction to obtain the current harmonic stability index of each circuit. It is used to characterize the fluctuation degree of harmonic content.

[0092] ; in, For the The current harmonic stability index of a circuit, For the The average value of the harmonic content of the sequential current of a circuit, For the The standard deviation of the harmonic content of the timing current of the circuit, For the The current harmonic distortion rate of a circuit, is the circuit number, .

[0093] The power fluctuation attenuation rate is used to reflect the attenuation characteristics of power fluctuation energy with frequency. The specific processing process includes: extracting the instantaneous power fluctuation peak value from the instantaneous power fluctuation value of each circuit and calculating the instantaneous power fluctuation average value, obtaining the power fluctuation attenuation rate of each circuit based on the rated power of each circuit, and then introducing the power fluctuation frequency of each circuit to calculate and obtain the power fluctuation attenuation rate of each circuit. It is used to reflect the attenuation characteristics of power fluctuation.

[0094] ; in, For the The power fluctuation attenuation rate of a circuit, For the The instantaneous power fluctuation peak value of a circuit, For the The average value of the instantaneous power fluctuation of the circuit is For the The rated power of the circuit, is the rated frequency, For the The power fluctuation frequency of a circuit, is the circuit number, .

[0095] ; in, For the The timing stability coefficient of the circuit, For the The voltage stability index of a circuit, For the The current harmonic stability index of a circuit, For the The power fluctuation attenuation rate of a circuit, is the voltage stability index weight, is the current harmonic stability index weight, is the power fluctuation attenuation rate weight.

[0096] It should be noted that the voltage stability index weight, current harmonic stability index weight and power fluctuation attenuation rate weight all range from 0 to 1 and satisfy The voltage stability index weight is an influencing factor of the voltage stability index pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the voltage stability index on the timing electric stability coefficient of each circuit of the electromagnetic cooker to be tested; the current harmonic stability index weight is an influencing factor of the current harmonic stability index pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the current harmonic stability index on the timing electric stability coefficient of each circuit of the electromagnetic cooker to be tested; the power fluctuation attenuation rate weight is an influencing factor of the power fluctuation attenuation rate pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the power fluctuation attenuation rate on the timing electric stability coefficient of each circuit of the electromagnetic cooker to be tested, and is directly extracted from the built-in database of the artificial intelligence data processing terminal when used. For example, the voltage stability index, current harmonic stability index and power fluctuation attenuation rate of each circuit of the electromagnetic cooker to be tested are input into the preset mapping set in the built-in database of the artificial intelligence data processing terminal to obtain the voltage stability index weight, current harmonic stability index weight and power fluctuation attenuation rate weight of each circuit of the electromagnetic cooker to be tested, and the corresponding mapping relationship is one-to-one correspondence.

[0097] S3. During the test period, synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested.

[0098] The synchronous monitoring of the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and the analysis and processing to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested specifically include: The transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period include power transient response time, transient overshoot amplitude and common mode noise suppression ratio of each circuit.

[0099] The transient overshoot amplitude is used to quantify the impact intensity of the transient disturbance on the circuit.

[0100] The common mode noise suppression ratio is used to reflect the stability of the circuit in an electromagnetic interference environment.

[0101] Based on the power transient response time of each circuit, the instantaneous phase difference between the voltage and current waveforms is calculated, and the maximum phase shift is extracted as the phase angle offset of each circuit. The phase angle offset is used to reflect the synchronization of voltage and current of the circuit under dynamic working state and to evaluate the system stability.

[0102] The dynamic working state, in the embodiment of the present invention, is the load switching moment, that is, the working gear position switching of the electromagnetic cooker to be tested.

[0103] Based on the transient overshoot amplitude and common mode noise suppression ratio of each circuit, the transient recovery primary index of each circuit is obtained through comprehensive analysis after standardization, including: ; in, For the The transient recovery primary index of the circuit, For the The transient overshoot amplitude of the circuit is For the The differential signal voltage of the circuit, For the The common-mode noise voltage of the circuit, is the transient overshoot amplitude weight factor, is the common mode noise rejection ratio weight factor, is the circuit number, .

[0104] It should be noted that the transient overshoot amplitude weight factor and the common mode noise suppression ratio weight factor are both in the range of 0 to 1 and meet the The transient overshoot amplitude weight factor is an influencing factor of the transient overshoot amplitude pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the transient overshoot amplitude on the transient recovery primary index of each circuit of the electromagnetic cooker to be tested; the common mode noise suppression ratio weight factor is an influencing factor of the common mode noise suppression ratio pre-stored in the built-in database of the artificial intelligence data processing terminal, indicating the degree of influence of the common mode noise suppression ratio on the transient recovery primary index of each circuit of the electromagnetic cooker to be tested. When used, it is directly extracted from the built-in database of the artificial intelligence data processing terminal. For example, the transient overshoot amplitude and the common mode noise suppression ratio of each circuit of the electromagnetic cooker to be tested are input into the preset mapping set in the built-in database of the artificial intelligence data processing terminal to obtain the transient overshoot amplitude weight factor and the common mode noise suppression ratio weight factor of each circuit of the electromagnetic cooker to be tested, and the corresponding mapping relationship is one-to-one.

[0105] The transient anti-interference coefficient of each circuit is obtained by analyzing the phase angle offset and transient recovery primary index of each circuit. The transient anti-interference coefficient is used to quantify the speed of system recovery from transient disturbance and phase synchronization capability. The specific processing process includes: obtaining the power frequency cycle based on the rated frequency of the power supply, and combining the transient recovery basic index of each circuit, introducing the ratio of the phase angle offset and the critical phase angle of each circuit, quantifying the influence of the coupling of each parameter in the form of product, and obtaining the transient anti-interference coefficient, which specifically includes: ; in, For the The transient anti-interference coefficient of the circuit is For the The power transient response time of a circuit, For the The power frequency cycle of a circuit, For the The transient recovery primary index of the circuit, For the The phase angle offset of the circuit, is the critical phase angle, is the circuit number, .

[0106] In an embodiment of the present invention, the power frequency period is obtained based on the rated power frequency. The rated power frequency involved in the embodiment of the present invention is 50 Hz, and the corresponding power frequency period is 20 ms. In another embodiment of the invention, the rated power frequency involved is 60 Hz, and the corresponding power frequency period is 16.67 ms.

[0107] S4. Based on the sequential electrical stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested, a comprehensive analysis and processing is performed to obtain an electrical stability correction factor of each circuit of the electromagnetic cooker to be tested.

[0108] The step of obtaining the electric stability correction factor of each circuit of the electromagnetic cooker to be tested by comprehensive analysis and processing based on the sequential electric stability coefficient and the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested specifically includes: The timing electric stability coefficient and the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested are subtracted, and the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested is analyzed and obtained. Based on the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested, the electric stability correction factor corresponding to each comprehensive electric interference reference index interval is obtained by mapping and matching with each comprehensive electric interference reference index interval extracted from the database built into the artificial intelligence data processing terminal, and the electric stability correction factor of each circuit of the electromagnetic cooker to be tested is obtained.

[0109] S5. After the test period ends, the energy efficiency of the electromagnetic cooker to be tested is calculated to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0110] The energy efficiency of the electromagnetic cooker to be tested is calculated to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested. The specific processing conditions are: The preliminary total input power of the electromagnetic cooker to be tested is obtained, and based on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested and the power stability correction factor of each circuit, the input power correction of the electromagnetic cooker to be tested is performed, specifically including: ; in, is the corrected total input power of the induction cooker to be tested, is the initial total input power of the induction cooker to be tested, is the rated difference correction factor at the power interface of the electromagnetic cooker to be tested, For the The electrical stability correction factor of the circuit is is the circuit number, .

[0111] Based on the corrected total input electric energy of the electromagnetic cooker to be tested, the heat absorption of the test liquid during the test period is obtained to obtain the total output thermal energy of the electromagnetic cooker to be tested, and the energy efficiency of the electromagnetic cooker to be tested is calculated using the thermal effect formula to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0112] The test liquid in the embodiment of the present invention is an aqueous solution. The total heat output of the electromagnetic cooker to be tested is calculated based on the temperature change of the test liquid using a specific heat capacity calculation formula.

[0113] The thermal effect formula is expressed as follows: ,in, , is the thermal effect of the electromagnetic cooker to be tested, is the total heat output of the electromagnetic cooker to be tested, The corrected total input energy for the cooktop under test.

[0114] In this embodiment, the present invention provides a stove energy efficiency testing system based on artificial intelligence, comprising: The power interface test module is used to retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested before the test, compare them with the rated power parameters, and obtain the rated difference results of the power interface.

[0115] The electrical stability monitoring module is used to monitor the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period, analyze and obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested, and analyze and process to obtain the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested.

[0116] The anti-interference monitoring module is used to synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested.

[0117] The data processing module is used to obtain the electrical stability correction factors of each circuit of the electromagnetic cooker under test by comprehensive analysis and processing based on the timing electrical stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker under test, and to obtain the electrical stability correction factors of each circuit of the electromagnetic cooker under test by mapping and matching.

[0118] The energy efficiency calculation module is used to calculate the energy efficiency of the electromagnetic cooker to be tested after the test period ends, and obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

[0119] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0120] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A method for testing the energy efficiency of a stove based on artificial intelligence, characterized in that: include: S1. Before the test, retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested, compare them with the rated power parameters, and obtain the rated difference result of the power interface; S2. During the test period, monitor the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period, analyze and obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested, and analyze and process to obtain the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested; S3. During the test period, synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested; S4, based on the sequential electric stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested, comprehensively analyzing and processing to obtain the electric stability correction factor of each circuit of the electromagnetic cooker to be tested; S5. After the test period ends, the energy efficiency of the electromagnetic cooker to be tested is calculated to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

2. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested are retrieved and compared with the rated power supply parameters. The specific process is as follows: Before the test period, connect a test load adjustment device to the power interface of the electromagnetic cooker to be tested, adjust the load of the device to the total circuit component load of the electromagnetic cooker to be tested, and perform a power supply test; The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested include sequential input voltage, sequential input current, sequential power supply frequency and sequential power factor; The rated power supply parameters include rated input voltage, rated input current, rated power supply frequency and rated power factor; The original power supply parameters at the power supply interface of the electromagnetic cooker to be tested are compared with the rated power supply parameters to obtain the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power supply interface of the electromagnetic cooker to be tested.

3. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The obtaining of the rated difference result of the power interface specifically includes: The voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are comprehensively processed and analyzed to obtain the rated difference result at the power interface of the electromagnetic cooker to be tested; The rated difference result at the power interface of the electromagnetic cooker to be tested includes an eliminateable difference and an irremovable difference; If the rated difference result at the power interface of the electromagnetic cooker to be tested is that the difference can be eliminated, the voltage deviation rate, current deviation rate, frequency offset and power factor deviation value at the power interface of the electromagnetic cooker to be tested are respectively mapped and matched with the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor corresponding to the voltage deviation rate interval, current deviation rate interval, frequency offset interval and power factor deviation value interval pre-stored in the built-in database of the artificial intelligence data processing terminal, so as to obtain the voltage deviation correction factor, current deviation rate correction factor, frequency offset correction factor and power factor deviation correction factor at the power interface of the electromagnetic cooker to be tested, and import them into the artificial intelligence data processing terminal, and comprehensively process them into the rated difference correction factor at the power interface of the electromagnetic cooker to be tested; If the rated difference result at the power interface of the electromagnetic cooker to be tested is an irreconcilable difference, the rated difference result at the power interface of the electromagnetic cooker to be tested is sent to the display area of ​​the artificial intelligence data processing terminal to remind the user to replace the power supply.

4. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The monitoring of the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period and the analysis to obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested specifically include: The sequential electrical parameters of each circuit during the test period include the sequential voltage, sequential current harmonic content and instantaneous power fluctuation value of each circuit; The periodic fluctuation parameters of the electrical parameters of the circuits include voltage fluctuation coefficient, current harmonic distortion rate and power fluctuation frequency; The specific analysis process includes: Based on the timing voltage of each circuit, average value processing is performed to obtain the average voltage of each circuit in the test period, and standard deviation processing is performed to obtain the voltage standard deviation of each circuit in the test period. The average voltage and voltage standard deviation of each circuit in the test period are analyzed by ratio, and the voltage fluctuation coefficient of each circuit is obtained by processing; Based on the sequential current harmonic content of each circuit, the time domain current signal is converted into the frequency domain through fast Fourier transform, the sequential current harmonic fundamental wave and each harmonic amplitude of each circuit are extracted, and the current harmonic distortion rate of each circuit is calculated based on the distortion rate calculation formula. The current harmonic distortion rate is used to characterize the degree of deviation of the current waveform from the ideal sine wave and reflect the impact of harmonic pollution on the circuit; Based on the instantaneous power fluctuation value of each circuit, Fourier transform is performed to extract the frequency component with the largest energy as the power fluctuation frequency of each circuit, and the power fluctuation frequency is used to evaluate the dynamic characteristics of circuit load changes.

5. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The analysis and processing to obtain the sequential electrical stability coefficient of each circuit of the electromagnetic cooker to be tested specifically includes: Based on the timing electrical parameters of each circuit during the test period, the periodic fluctuation parameters of each electrical parameter of each circuit are introduced at the same time, and the voltage stability index, current harmonic stability index and power fluctuation attenuation rate of each circuit are obtained by analysis and processing, and then the timing electrical stability coefficient of each circuit of the electromagnetic cooker to be tested is obtained by joint analysis; The voltage stability index is used to reflect the proportion of the voltage fluctuation amplitude relative to the rated value. The specific processing process includes: extracting the maximum voltage and the minimum voltage in the test period from the timing voltage of each circuit, and obtaining the voltage stability index of each circuit based on the voltage fluctuation coefficient of each circuit; The current harmonic stability index is used to characterize the fluctuation degree of harmonic content. The specific processing process includes: calculating the average value and standard deviation of the sequential current harmonic content of each circuit during the test period, and recording the ratio of the average value to the standard deviation as the initial current harmonic stability index of each circuit, introducing the current harmonic distortion rate for correction to obtain the current harmonic stability index of each circuit; The power fluctuation attenuation rate is used to reflect the attenuation characteristics of power fluctuation energy with frequency. The specific processing process includes: extracting the instantaneous power fluctuation peak value from the instantaneous power fluctuation value of each circuit and calculating the instantaneous power fluctuation average value, obtaining the power fluctuation attenuation rate of each circuit based on a comprehensive analysis and processing based on the rated power of each circuit, and then introducing the power fluctuation frequency of each circuit to calculate and obtain the power fluctuation attenuation rate of each circuit.

6. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The synchronous monitoring of the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and the analysis and processing to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested specifically include: The transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period include power transient response time, transient overshoot amplitude and common mode noise suppression ratio of each circuit; Based on the power transient response time of each circuit, the instantaneous phase difference between the voltage and current waveforms is calculated, and the maximum phase offset is extracted as the phase angle offset of each circuit. The phase angle offset is used to reflect the synchronization of the voltage and current of the circuit under the dynamic working state, and is used to evaluate the system stability; Based on the transient overshoot amplitude and common mode noise suppression ratio of each circuit, the transient recovery primary index of each circuit is obtained through comprehensive analysis after standardization. The transient anti-interference coefficient of each circuit is obtained by analyzing the phase angle offset and transient recovery primary index of each circuit. The transient anti-interference coefficient is used to quantify the speed of system recovery from transient disturbance and phase synchronization capability. The specific processing process includes: obtaining the power frequency period based on the rated frequency of the power supply, and introducing the phase angle offset and the degree of deviation of the critical phase angle of each circuit in combination with the transient recovery basic index of each circuit, quantifying the influence of the coupling of each parameter, and obtaining the transient anti-interference coefficient.

7. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The step of obtaining the electric stability correction factor of each circuit of the electromagnetic cooker to be tested by comprehensive analysis and processing based on the sequential electric stability coefficient and the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested specifically includes: The timing electric stability coefficient and the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested are subtracted, and the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested is analyzed and obtained. Based on the comprehensive electric interference index of each circuit of the electromagnetic cooker to be tested, the electric stability correction factor corresponding to each comprehensive electric interference reference index interval is obtained by mapping and matching with each comprehensive electric interference reference index interval extracted from the database built into the artificial intelligence data processing terminal, and the electric stability correction factor of each circuit of the electromagnetic cooker to be tested is obtained.

8. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The energy efficiency calculation of the electromagnetic cooker to be tested specifically includes: The preliminary energy efficiency calculation parameters of the electromagnetic cooker to be tested are obtained, and the input power of the electromagnetic cooker to be tested is corrected based on the rated difference correction factor at the power interface of the electromagnetic cooker to be tested and the power stability correction factor of each circuit.

9. The method for testing the energy efficiency of a stove based on artificial intelligence according to claim 1, characterized in that: The energy efficiency calculation result of the electromagnetic cooker to be tested is obtained under the following specific processing conditions: Based on the corrected total input electric energy of the electromagnetic cooker to be tested, the heat absorption of the test liquid during the test period is obtained to obtain the total output thermal energy of the electromagnetic cooker to be tested, and the energy efficiency of the electromagnetic cooker to be tested is calculated using the thermal effect formula to obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

10. A stove energy efficiency testing system based on artificial intelligence, characterized by: The power interface test module is used to retrieve the original power parameters at the power interface of the electromagnetic cooker to be tested before the test, compare them with the rated power parameters, and obtain the rated difference result of the power interface; The electric stability monitoring module is used to monitor the timing electrical parameters of each circuit of the electromagnetic cooker to be tested during the test period, analyze and obtain the periodic fluctuation parameters of each electrical parameter of each circuit of the electromagnetic cooker to be tested, and analyze and process to obtain the timing electric stability coefficient of each circuit of the electromagnetic cooker to be tested; The anti-interference monitoring module is used to synchronously monitor the transient anti-interference parameters of each circuit of the electromagnetic cooker to be tested during the test period, and analyze and process to obtain the transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested; A data processing module, for obtaining an electric stability correction factor of each circuit of the electromagnetic cooker to be tested by comprehensive analysis and processing based on the sequential electric stability coefficient and transient anti-interference coefficient of each circuit of the electromagnetic cooker to be tested; The energy efficiency calculation module is used to calculate the energy efficiency of the electromagnetic cooker to be tested after the test period ends, and obtain the energy efficiency calculation result of the electromagnetic cooker to be tested.

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