Heating method, microwave cooking apparatus, and computer-readable storage medium

Abstract

The present invention relates to a heating method, a microwave cooking apparatus (10), and a computer-readable storage medium. The heating method includes the steps of: transmitting a detection signal to interact with food and generate a reflected signal on the food; generating heating method information based on characteristic parameters that are at least partially identified by the detection signal and the reflected signal; and determining a heating method for food corresponding to a type of food based on the heating method information.

Description

Technical Field

[0001] This invention claims the priority and rights of the Chinese patent application with the patent application number 202310350518.7 filed with the China National Intellectual Property Administration on April 3, 2023, and incorporates the full text thereof herein by reference.

[0002] This invention relates to the technical field of heating by microwave, and specifically relates to a heating method, a microwave cooking device, and a computer-readable storage medium.

Background Art

[0003] In recent years, with the continuous improvement of people's living standards, modern kitchen appliances have become essential household appliances in people's daily lives. Although the number of people heating food in microwave ovens is increasing, for conventional microwave ovens, it is necessary to set parameters such as heating time and heating power through empirical operations to cook food, so the operation becomes cumbersome, and moreover, due to the influence of external factors such as the difference in the types of ingredients, it is often impossible to achieve an ideal cooking effect for food.

Summary of the Invention

[0004] This invention proposes a heating method, a microwave cooking device, and a computer-readable storage medium.

Means for Solving the Problems

[0005] An embodiment of this invention is a heating method used in a microwave cooking device, including the steps of transmitting a detection signal for generating a reflection signal in the food material by acting on the food material, generating heating method information based on characteristic parameters at least partially identified by the detection signal and the reflection signal, and determining the heating method of the food material corresponding to the type of the food material based on the heating method information.

[0006] The above heating method involves transmitting a detection signal to the food, which then interacts with the food to generate a reflected signal. However, the generated reflected signal differs depending on the type of food. Therefore, it is advantageous to obtain corresponding characteristic parameters from the specific conditions of the detection signal and reflected signal to determine the heating method for the food, thereby ensuring the heating effect of the food.

[0007] In some embodiments, the heating method includes the steps of generating a phase distribution parameter included in the feature parameter based on the detection signal and the reflection signal, and generating an amplitude parameter included in the feature parameter based on the detection signal and the reflection signal, wherein the step of generating heating method information based on the feature parameter includes a step of performing data matching on the phase distribution parameter and a step of performing data matching on the amplitude parameter to identify the heating method information. In this way, one specific method for determining the heating method of food can be proposed.

[0008] In some embodiments, the steps of generating phase distribution parameters based on the detection signal and the reflection signal include: generating a reference detection signal based on a predetermined number of acquired detection signals; comparing the predetermined number of detection signals and the reference detection signal to obtain detection phase distribution parameters included in the phase distribution parameters; generating a reference reflection signal based on a predetermined number of acquired reflection signals; and comparing the predetermined number of reflection signals and the reference reflection signal to obtain reflection phase distribution parameters included in the phase distribution parameters, and the steps of performing data matching on the phase distribution parameters include: matching the detection phase distribution parameters to predetermined detection phase distribution data to obtain a first phase matching result for identifying the heating method information; and matching the reflection phase distribution parameters to predetermined reflection phase distribution data to obtain a second phase matching result for identifying the heating method information. In this way, the type of food can be easily identified.

[0009] In some embodiments, the step of generating a reference detection signal based on a predetermined number of acquired detection signals includes the steps of: identifying the frequency of the reference detection signal based on the predetermined number of acquired detection signals; and identifying the phase and amplitude of the reference detection signal based on one of the detection signals. The step of generating a reference reflected signal based on a predetermined number of acquired reflected signals includes the steps of: identifying the frequency of the reference reflected signal based on the predetermined number of acquired reflected signals; and identifying the phase and amplitude of the reference reflected signal based on one of the reflected signals. In this way, the flexibility in identifying the phase distribution parameters can be improved.

[0010] In some embodiments, the steps include generating amplitude parameters based on the detection signal and the reflection signal, performing an averaging process on a predetermined number of acquired detection signal amplitudes to obtain detection amplitude parameters included in the amplitude parameters, performing an averaging process on a predetermined number of acquired reflection signal amplitudes to obtain reflection amplitude parameters included in the amplitude parameters, and performing a data matching process on the amplitude parameters, the steps include matching the detection amplitude parameters to predetermined detection amplitude data to obtain a first amplitude matching result for identifying the heating method information, and matching the reflection amplitude parameters to predetermined reflection amplitude data to obtain a second amplitude matching result for identifying the heating method information. In this way, the type of food can be easily identified.

[0011] In some embodiments, the heating method includes a step of acquiring operating state parameters included in the feature parameters of a microwave generating member for generating the detection signal, which is included in the microwave cooking apparatus, and a step of generating heating method information based on the feature parameters, which includes a step of performing data matching processing on the operating state parameters to identify the heating method information. In this way, one specific method for determining the heating method of food can be proposed.

[0012] In some embodiments, the heating method includes a step of performing an averaging process on a predetermined number of acquired operating state data to obtain the operating state parameters, and a step of performing a data matching process on the operating state parameters, which includes matching the operating state parameters to predetermined operating state data to obtain an operating state matching result for identifying the heating method information. In this way, the type of food can be easily identified.

[0013] In some embodiments, the heating method includes a step of generating reflection parameters included in the feature parameters based on the detection signal and the reflection signal, and a step of generating heating method information based on the feature parameters, which includes a step of performing data matching processing on the reflection parameters to identify the heating method information. In this way, one specific method for determining the heating method of food can be proposed.

[0014] In some embodiments, the steps of generating reflection parameters based on the detection signal and the reflection signal include: averaging a predetermined number of peak-to-peak values ​​of the acquired detection signal to obtain a first reflection parameter; averaging a predetermined number of peak-to-peak values ​​of the acquired reflection signal to obtain a second reflection parameter; and dividing the first reflection parameter and the second reflection parameter to obtain the reflection parameter. The steps of performing data matching on the reflection parameter include matching the reflection parameter to predetermined peak-to-peak value data to obtain a peak-to-peak value matching result for identifying the heating method information. In this way, the type of food ingredient can be easily identified.

[0015] Embodiments of the present invention are microwave cooking devices comprising: a microwave generation module for transmitting a detection signal that interacts with food and generates a reflected signal on the food; a data acquisition processing module for generating heating method information based on characteristic parameters identified by the detection signal and the reflected signal; and a power control module for determining a heating method for the food corresponding to the type of food based on the heating method information.

[0016] The above-mentioned microwave cooking device transmits a detection signal to the food, causing the detection signal to interact with the food and generate a reflected signal. However, the generated reflected signal differs depending on the type of food. Therefore, it is advantageous to obtain corresponding characteristic parameters from the specific conditions of the detection signal and reflected signal to determine the heating method for the food and to ensure the heating effect of the food.

[0017] An embodiment of the present invention is a microwave cooking apparatus comprising a memory storing a computer program and a processor, wherein when the processor executes the computer program, the steps of the heating method described in any of the above embodiments are realized.

[0018] The above-mentioned microwave cooking device transmits a detection signal to the food, causing the detection signal to interact with the food and generate a reflected signal. However, the generated reflected signal differs depending on the type of food. Therefore, it is advantageous to obtain corresponding characteristic parameters from the specific conditions of the detection signal and reflected signal to determine the heating method for the food and to ensure the heating effect of the food.

[0019] Embodiments of the present invention provide a computer-readable storage medium on which a computer program is stored, wherein when a processor executes the computer program, the steps of the heating method described in any of the above embodiments are realized.

[0020] The computer-readable storage medium transmits a detection signal to the food material, and the detection signal acts on the food material to generate a reflection signal. Since the generated reflection signal varies depending on the type of food material, corresponding characteristic parameters are obtained from the specific situations of the detection signal and the reflection signal so as to determine the heating method of the food material, which is advantageous for ensuring the heating effect of the food material.

[0021] Additional aspects and advantages of the present invention will be partially shown in the following description, will be partially apparent from the following description, or will be understood through the practice of the present invention.

Brief Description of the Drawings

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and easier to understand from the description of the embodiments related to the following accompanying drawings.

[0023] [Figure 1] It is a flowchart of a heating method according to an embodiment of the present invention. [Figure 2] It is a schematic module diagram of a microwave cooking device according to an embodiment of the present invention. [Figure 3] It is a schematic partial configuration diagram of a microwave cooking device according to an embodiment of the present invention. [Figure 4] It is a schematic diagram of the correspondence relationship between the type of food material and the reflection parameter according to an embodiment of the present invention. [Figure 5] It is a schematic module diagram of a microwave cooking device according to an embodiment of the present invention.

Modes for Carrying Out the Invention

[0024] Hereinafter, embodiments of the present invention will be described in detail. The embodiments are shown in the drawings, where the same or similar reference numerals from the beginning to the end indicate the same or similar elements, or elements having the same or similar functions. The embodiments described below with reference to the drawings are exemplary ones intended to explain the present invention and are not to be understood as limiting the present invention.

[0025] Referring to FIG. 1, the heating method of the embodiment of the present invention is used in the microwave cooking device 10. The heating method includes the following steps.

[0026] 01: Transmit a detection signal for generating a reflection signal in the food by acting on the food.

[0027] 02: Generate heating method information based on characteristic parameters at least partially identified by the detection signal and the reflection signal.

[0028] 03: Determine the heating method of the food corresponding to the type of the food based on the heating method information.

[0029] The heating method of the embodiment of the present invention may be realized by the microwave cooking device 10 of the embodiment of the present invention. Specifically, in relation to FIG. 2, the microwave cooking device 10 includes a microwave generation module 11, a data collection and processing module 12, and a power control module 13. The microwave generation module 11 is configured to transmit a detection signal that can act on the food to generate a reflection signal in the food. The data collection and processing module 12 is configured to generate heating method information based on characteristic parameters at least partially identified by the detection signal and the reflection signal. The power control module 13 is configured to determine the heating method of the food corresponding to the type of the food based on the heating method information.

[0030] The above heating method and the microwave cooking device 10 transmit a detection signal to the food, so that the detection signal acts on the food to generate a reflection signal in the food. However, the generated reflection signal varies depending on the type of the food. Therefore, in order to determine the heating method of the food, corresponding characteristic parameters are obtained from the specific situations of the detection signal and the reflection signal, which is beneficial to ensuring the heating effect of the food.

[0031] Specifically, depending on the type of food ingredient, when a detection signal is transmitted to the food ingredient, the detection signal acts differently from the food ingredient, generating a reflected signal with different characteristic parameters accordingly, so that the reflected signal can reflect the type of food ingredient. In one embodiment, when a detection signal and a reflected signal are acquired, one or more characteristic parameters may be acquired based on the detection signal and the reflected signal, and heating method information may be generated from the acquired characteristic parameters. In another embodiment, when a detection signal and a reflected signal are acquired, some characteristic parameters may be acquired based on the detection signal and the reflected signal, and other characteristic parameters may be acquired in relation to the specific implementation situation, thereby generating heating method information from the acquired characteristic parameters. In some embodiments, the reflected signal is received by the microwave generation module 11.

[0032] To make it understandable, the heating method information obtained based on the detection signal and the reflected signal can be used to represent the detection signal and the type of food being worked on, thereby allowing the type of food to be identified based on the generated heating method information, and further allowing a suitable heating method to be determined for the food. In some other embodiments, the heating method may heat the food with different heating times. In some yet other embodiments, the heating method may heat the food with different duty cycles. Also, based on the above embodiments, those skilled in the art may obtain a corresponding heating method by combining at least two of the heating time, heating power, or duty cycle.

[0033] Furthermore, in relation to Figure 3, the microwave cooking device 10 may include a cooking cavity 15. In one embodiment, when food is contained in the cooking cavity 15, the microwave cooking device 10 can transmit a detection signal into the cooking cavity 15 to interact with the food, and once the heating method for the food is determined, microwaves can be emitted to heat the food located in the cooking cavity 15 according to the determined heating method.

[0034] The detection signal interacting with the food may occur by irradiating the food with the detection signal, which is then reflected off the food's surface to generate a reflected signal, or by at least a portion of the detection signal being absorbed by the food, with the unabsorbed portion generating a reflected signal.

[0035] In some embodiments, the heating method includes the steps of generating phase distribution parameters included in feature parameters based on a detection signal and a reflected signal, and generating amplitude parameters included in feature parameters based on the detection signal and the reflected signal, wherein the step of generating heating method information based on the feature parameters includes the step of performing data matching on the phase distribution parameters and performing data matching on the amplitude parameters to identify the heating method information.

[0036] The heating method of the embodiment of the present invention may be implemented by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, relating to Figure 2, the microwave cooking apparatus 10 includes a parameter acquisition module 14. The parameter acquisition module 14 is used to generate phase distribution parameters included in the feature parameters based on the detection signal and the reflected signal, and to generate amplitude parameters included in the feature parameters based on the detection signal and the reflected signal. The data acquisition processing module 12 is used to perform data matching processing on the phase distribution parameters and on the amplitude parameters to identify the heating method information.

[0037] In this way, we can propose one concrete method for determining the heating method for ingredients.

[0038] To make it easier to understand, when a detection signal interacts with food and generates a reflected signal on the food, the phases and amplitudes of the detection signal and the reflected signal should be different. The phase distribution parameter can reflect the phase distribution of the detection signal and the reflected signal, so the phase distribution of the detection signal and the reflected signal can be used as one of the conditions for determining the type of food. The amplitude distribution parameter can reflect the amplitude distribution of the detection signal and the reflected signal, so the amplitudes of the detection signal and the reflected signal can be used as one of the conditions for determining the type of food.

[0039] In one embodiment, once the phase distribution parameter and amplitude parameter are identified, data matching processing can be performed on the phase distribution parameter and amplitude parameter, respectively, to identify the type of food ingredient that can generate a reflected signal.

[0040] In some embodiments, the steps of generating phase distribution parameters based on detection signals and reflection signals include: generating a reference detection signal based on a predetermined number of acquired detection signals; comparing a predetermined number of detection signals with the reference detection signal to obtain detection phase distribution parameters included in the phase distribution parameters; generating a reference reflection signal based on a predetermined number of acquired reflection signals; and comparing a predetermined number of reflection signals with the reference reflection signal to obtain reflection phase distribution parameters included in the phase distribution parameters, and the steps of performing data matching on the phase distribution parameters include: matching detection phase distribution parameters with data for a predetermined detection phase distribution to obtain a first phase matching result for identifying heating method information; and matching reflection phase distribution parameters with data for a predetermined reflection phase distribution to obtain a second phase matching result for identifying heating method information.

[0041] The heating method of the embodiment of the present invention may be realized by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, relating to Figure 2, the parameter acquisition module 14 is used to generate a reference detection signal based on a predetermined number of acquired detection signals, to compare the predetermined number of detection signals with the reference detection signal to acquire detection phase distribution parameters included in the phase distribution parameters, to generate a reference reflection signal based on a predetermined number of acquired reflection signals, and to compare the predetermined number of reflection signals with the reference reflection signal to acquire reflection phase distribution parameters included in the phase distribution parameters. The data acquisition processing module 12 is used to match the detection phase distribution parameters with predetermined detection phase distribution data to obtain a first phase matching result for identifying heating method information, and to match the reflection phase distribution parameters with predetermined reflection phase distribution data to obtain a second phase matching result for identifying heating method information.

[0042] In this way, the type of ingredient can be easily identified.

[0043] Specifically, in some embodiments, when at least one detection signal is transmitted to a food ingredient, each detection signal can interact with the food ingredient to generate a corresponding reflected signal, so each detection signal has a corresponding reflected signal. When a predetermined number of detection signals are acquired, a reference detection signal is generated based on the acquired detection signals, then a phase comparison is performed between the detection signal and the reference detection signal to obtain detection phase difference data representing the phase difference between the detection signal and the reference detection signal, and further detection phase distribution parameters are obtained. When a predetermined number of reflected signals corresponding to each of the predetermined number of detection signals are acquired, a reference reflected signal is generated from the acquired reflected signals, then a phase comparison is performed between the reflected signal and the reference reflected signal to obtain reflected phase difference data representing the phase difference between the reflected signal and the reference reflected signal, and further reflection phase distribution parameters are obtained. When the predetermined number is 1, the number of detection signals and the number of reflected signals are each 1, so the amplitude of the acquired single detection signal is used as the detection amplitude parameter, and the amplitude of the acquired single reflected signal is used as the reflected amplitude parameter.

[0044] If detection phase distribution parameters and reflection phase distribution parameters are obtained, the detection phase distribution parameters are matched to predetermined detection phase distribution data, and the reflection phase distribution parameters are matched to predetermined reflection phase distribution data. To make it easier to understand, assuming that the type of food ingredient can be determined in advance, test calibration is performed according to the differences in food ingredient types to obtain predetermined detection phase distribution data and predetermined reflection phase distribution data. Then, the detection phase distribution data closest to the detection phase distribution parameter is identified by the first phase matching result, and the reflection phase distribution data closest to the reflection phase distribution parameter is identified by the second phase matching result, thereby identifying the corresponding type of food ingredient.

[0045] In some embodiments, the step of generating a reference detection signal based on a predetermined number of acquired detection signals includes the steps of identifying the frequency of the reference detection signal based on the predetermined number of acquired detection signals and identifying the phase and amplitude of the reference detection signal based on one of the detection signals, and the step of generating a reference reflected signal based on a predetermined number of acquired reflected signals includes the steps of identifying the frequency of the reference reflected signal based on the predetermined number of acquired reflected signals and identifying the phase and amplitude of the reference reflected signal based on one of the reflected signals.

[0046] The heating method of the embodiment of the present invention may be realized by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, in relation to Figure 2, the parameter acquisition module 14 is used to identify the frequency of a reference detection signal based on a predetermined number of acquired detection signals, to identify the phase and amplitude of the reference detection signal based on one of the detection signals, to identify the frequency of a reference reflected signal based on a predetermined number of acquired reflected signals, and to identify the phase and amplitude of the reference reflected signal based on one of the reflected signals.

[0047] In this way, the flexibility in identifying phase distribution parameters can be improved.

[0048] Specifically, in some embodiments, if the predetermined number is 2 or more, a first center frequency may be calculated from the frequencies of all detection signals, and the first center frequency may be used as the frequency of the reference detection signal. The phase and amplitude of one of the detection signals may then be used as the phase and amplitude of the reference detection signal, respectively. The first center frequency may also be the average value of the frequencies of all detection signals. In some other embodiments, if the predetermined number is 1, one detection signal may be acquired and used as the reference detection signal. The frequency, phase, and amplitude of the detection signal may then be calculated in relation to the corresponding supplementary function and used as the frequency, phase, and amplitude of the reference detection signal.

[0049] To make it easier to understand, in actual applications, the signal frequency is susceptible to changes, but by calculating the center frequency and identifying the frequency of the reference detection signal, the degree to which it is affected by the detection signal can be reduced. Furthermore, rather than pre-setting the reference detection signal, the reference detection signal that serves as the basis for the judgment can be matched to the actual changes in the detection signal, ensuring sufficient reference for the reference detection signal while achieving more flexible operation.

[0050] In addition to the above, for clarity, examples of reflected signals and reference reflected signals can be found in the previously mentioned examples of detection signals and reference detection signals; therefore, to avoid redundant explanations, they will not be elaborated here.

[0051] In some embodiments, the steps include generating amplitude parameters based on detection signals and reflected signals, which include averaging the amplitudes of a predetermined number of acquired detection signals to obtain detection amplitude parameters included in the amplitude parameters, and averaging the amplitudes of a predetermined number of acquired reflected signals to obtain reflected amplitude parameters included in the amplitude parameters, and performing data matching on the amplitude parameters, which include matching the detection amplitude parameters to data of a predetermined detection amplitude to obtain a first amplitude matching result for identifying heating method information, and matching the reflected amplitude parameters to data of a predetermined reflected amplitude to obtain a second amplitude matching result for identifying heating method information.

[0052] The heating method of the embodiment of the present invention may be realized by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, in relation to Figure 2, the parameter acquisition module 14 is used to perform an averaging process on the amplitudes of a predetermined number of acquired detection signals to acquire detection amplitude parameters included in the amplitude parameters, and to perform an averaging process on the amplitudes of a predetermined number of acquired reflection signals to acquire reflection amplitude parameters included in the amplitude parameters. The data acquisition processing module 12 is used to match the detection amplitude parameters to predetermined detection amplitude data to obtain a first amplitude matching result for identifying heating method information, and to match the reflection amplitude parameters to predetermined reflection amplitude data to obtain a second amplitude matching result for identifying heating method information.

[0053] In this way, the type of ingredient can be easily identified.

[0054] Specifically, in some embodiments, when at least one detection signal is transmitted to the food, each detection signal can interact with the food to generate a corresponding reflected signal, so each detection signal has one corresponding reflected signal. If a predetermined number of detection signals are acquired, the average value may be calculated from the amplitudes of all detection signals to obtain the detection amplitude parameter. If a predetermined number of reflected signals are acquired, the average value may be calculated from the amplitudes of all reflected signals to obtain the reflected amplitude parameter. If the predetermined number is 1, it indicates that the number of detection signals and the number of reflected signals are each one, and the amplitude of the acquired single detection signal may be used as the detection amplitude parameter, and the amplitude of the acquired single reflected signal may be used as the reflected amplitude parameter.

[0055] If detection amplitude parameters and reflection amplitude parameters are obtained, the detection amplitude parameter may be matched to predetermined detection amplitude data, and the reflection amplitude parameter may be matched to predetermined reflection amplitude data. To make it easier to understand, assuming that the type of food ingredient can be determined in advance, test calibration can be performed according to the differences in food ingredient types to obtain predetermined detection amplitude data and predetermined reflection amplitude data. Then, by identifying detection amplitude data close to the detection amplitude parameter using the first amplitude matching result, and identifying reflection amplitude data close to the reflection amplitude parameter using the second amplitude matching result, the corresponding type of food ingredient can be identified.

[0056] In some embodiments, the heating method includes the step of acquiring operating state parameters included in the characteristic parameters of a microwave generating member (not shown) for generating a detection signal, which is included in the microwave cooking apparatus 10, and the step of generating heating method information based on the characteristic parameters includes the step of performing data matching processing on the operating state parameters to identify the heating method information.

[0057] The heating method of the embodiment of the present invention may be implemented by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, relating to Figure 2, the microwave cooking apparatus 10 includes a parameter acquisition module 14. The parameter acquisition module 14 is used to acquire operating state parameters included in the characteristic parameters of the microwave generating member for generating a detection signal, which is included in the microwave cooking apparatus 10. The data acquisition processing module 12 is used to perform data matching processing on the operating state parameters to identify heating method information.

[0058] In this way, we can propose one concrete method for determining the heating method for ingredients.

[0059] In some embodiments, the microwave generation module 11 may include a microwave generating member. As can be understood, when the microwave cooking device 10 needs to transmit a detection signal having specific characteristics (frequency, phase, amplitude, etc.), it is necessary to set parameters corresponding to the microwave generating member so that the microwave generator is in the corresponding operating state, thereby allowing the operating state of the microwave generating member to be associated with the detection signal. In this case, determining the parameters of the microwave generating member, i.e., the operating state parameters of the microwave generating member, and further performing data matching on the operating state parameters, is also advantageous in finally determining the type of food. In some embodiments, the operating parameters may include at least one of the operating voltage, operating current, and operating temperature of the microwave generating member. The microwave generating member may be a magnetron or a solid-state microwave generator.

[0060] In some embodiments, the heating method includes the step of performing an averaging process on a predetermined number of acquired operating state data to obtain operating state parameters, and in the step of performing a data matching process on the operating state parameters, the operating state parameters are matched to predetermined operating state data to obtain operating state matching results for identifying heating method information.

[0061] The heating method of the embodiment of the present invention may be realized by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, relating to Figure 2, the parameter acquisition module 14 is used to perform averaging processing on a predetermined number of acquired operating state data and to acquire operating state parameters. The data acquisition processing module 12 is used to match the operating state parameters with predetermined operating state data and to obtain operating state matching results for identifying heating method information.

[0062] In this way, the type of ingredient can be easily identified.

[0063] Specifically, in some embodiments, an average value may be calculated from the acquired operating state parameters after a predetermined number of operating state parameters have been acquired. In one embodiment, the operating parameters include the operating voltage of the microwave generating member, and if the operating voltages of a predetermined number of microwave generating members have been acquired, the average value may be calculated for the operating voltages of all microwave generating members to obtain the operating state parameters. In another embodiment, the operating parameters include the operating current of the microwave generating member, and if the operating currents of a predetermined number of microwave generating members have been acquired, the average value may be calculated for the operating currents of all microwave generating members to obtain the operating state parameters. In yet another embodiment, the operating parameters include the operating temperature of the microwave generating member, and if the operating temperatures of a predetermined number of microwave generating members have been acquired, the average value may be calculated for the operating temperatures of all microwave generating members to obtain the operating state parameters.

[0064] If operating state parameters are obtained, these parameters may be matched to data for a predetermined operating state. To make it easier to understand, assuming that the type of food ingredient can be determined in advance, test calibration can be performed according to the differences in food ingredient types to obtain data for a predetermined operating state, and then the data for an operating state close to the current operating state can be identified based on the operating state matching results, thereby identifying the corresponding food ingredient type.

[0065] In some embodiments, the heating method includes the step of generating reflection parameters included in feature parameters based on a detection signal and a reflection signal, and the step of generating heating method information based on the feature parameters includes the step of performing data matching on the reflection parameters to identify the heating method information.

[0066] The heating method of the embodiment of the present invention may be implemented by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, relating to Figure 2, the microwave cooking apparatus 10 includes a parameter acquisition module 14. The parameter acquisition module 14 is used to generate reflection parameters included in the feature parameters based on the detection signal and the reflection signal. The data acquisition processing module 12 is used to perform data matching processing on the reflection parameters to identify the heating method information.

[0067] In this way, we can propose one concrete method for determining the heating method for ingredients.

[0068] To make it easier to understand, when a detection signal interacts with food and generates a reflected signal on the food, the peak values ​​of the detection signal and the reflected signal should be different. The peak value distribution parameter can reflect the distribution of the peak values ​​of the detection signal and the reflected signal, so the state of the peak values ​​of the detection signal and the reflected signal can be used as one of the conditions for determining the type of food.

[0069] In one embodiment, once reflection parameters are identified, data matching processing can be performed on each reflection parameter to identify the types of food ingredients that can generate a reflection signal.

[0070] In some embodiments, the steps of generating reflection parameters based on detection signals and reflection signals include: averaging a predetermined number of acquired peak-to-peak values ​​of detection signals to obtain a first reflection parameter; averaging a predetermined number of acquired peak-to-peak values ​​of reflection signals to obtain a second reflection parameter; and dividing the first reflection parameter and the second reflection parameter to obtain a reflection parameter. The steps of performing data matching on the reflection parameters include matching the reflection parameters to predetermined peak-to-peak value data to obtain peak-to-peak value matching results for identifying heating method information.

[0071] The heating method of the embodiment of the present invention may be realized by the microwave cooking apparatus 10 of the embodiment of the present invention. Specifically, in relation to Figure 2, the parameter acquisition module 14 is used to obtain a first reflection parameter by performing an averaging process on the peak-to-peak values ​​of a predetermined number of acquired detection signals, and to obtain a second reflection parameter by performing an averaging process on the peak-to-peak values ​​of a predetermined number of acquired reflection signals. The data acquisition processing module 12 is used to match the reflection parameter to predetermined peak-to-peak value data and obtain a peak-to-peak value matching result for identifying heating method information.

[0072] In this way, the type of ingredient can be easily identified.

[0073] Specifically, in some embodiments, when at least one detection signal is transmitted to the food, each detection signal can interact with the food to generate a corresponding reflected signal, so each detection signal has one corresponding reflected signal. If a predetermined number of detection signals are acquired, the average value may be calculated from the acquired predetermined number of detection signals to obtain a first reflection parameter. If a predetermined number of reflected signals are acquired, the average value may be calculated from the acquired predetermined number of reflected signals to obtain a second reflection parameter. When the predetermined number is 1, it indicates that the number of detection signals and the number of reflected signals are each one, and the amplitude of the acquired one detection signal may be used as the detection amplitude parameter, and the amplitude of the acquired one reflected signal may be used as the reflection amplitude parameter.

[0074] If the first reflection parameter and the second reflection parameter have been obtained, a division operation may be performed on the first reflection parameter and the second reflection parameter to obtain the reflection parameter. In some embodiments, the peak-to-peak value of the signal may be the difference between the peaks and troughs of the wave, or it may be the amplitude of the signal. In one embodiment, the division operation on the first reflection parameter and the second reflection parameter may be performed by dividing the second reflection parameter by the first reflection parameter to obtain the reflection parameter.

[0075] To make it easier to understand, the type of food ingredient can be predetermined. Then, by performing test calibration according to the differences in food ingredient types to obtain data with predetermined peak-to-peak values, and then identifying data with peak-to-peak values ​​close to the reflection parameter using peak-to-peak value matching results, the corresponding food ingredient type can be identified.

[0076] In relation to Figure 4, in this embodiment, the types of ingredients may include meat, potatoes, carrots, Chinese cabbage, and water. When identifying the type of ingredient by the reflection parameter, it can be obtained that the reflection parameter corresponding to meat is 0.66, the reflection parameter corresponding to potatoes is 0.63, the reflection parameter corresponding to carrots is 0.72, the reflection parameter corresponding to Chinese cabbage is 0.59, and the reflection parameter corresponding to water is 0.55. In other words, different types of ingredients can correspond to different reflection parameters, so the type of ingredient can be identified based on the identified reflection parameter, and furthermore, a heating method suitable for the ingredient can be determined.

[0077] Referring to Figure 5, the microwave cooking apparatus 10 of the embodiment of the present invention comprises a memory 17 and a processor 16. The memory 17 stores a computer program. When the processor 16 executes the computer program, it realizes one of the steps of the heating method described above.

[0078] For example, when a computer program is executed, the following steps can be achieved:

[0079] 01: A detection signal is transmitted to interact with the food ingredient and generate a reflected signal on the ingredient.

[0080] 02: Heating method information is generated based on characteristic parameters identified by at least part of the detection signal and reflected signal.

[0081] 03: Based on the heating method information, determine the heating method for the food item corresponding to the type of food item.

[0082] The microwave cooking device 10 transmits a detection signal to the food, causing the detection signal to interact with the food and generate a reflected signal. However, the generated reflected signal differs depending on the type of food. Therefore, it is advantageous to obtain corresponding characteristic parameters from the specific conditions of the detection signal and reflected signal to determine the heating method for the food and to ensure the heating effect of the food.

[0083] In some embodiments, the microwave cooking device 10 includes at least one of a magnetron and a solid-state microwave generator, and the magnetron and solid-state microwave generator transmit a detection signal, and if the food generates a reflected signal, the reflected signal is received, and the processor 16 further processes the detection signal and the reflected signal to identify the type of food.

[0084] The computer-readable storage medium in the embodiment of the present invention stores a computer program. When the processor 16 executes the computer program, it realizes one of the steps of the heating method described above.

[0085] For example, when a computer program is executed, the following steps can be achieved:

[0086] 01: A detection signal is transmitted to interact with the food ingredient and generate a reflected signal on the ingredient.

[0087] 02: Heating method information is generated based on characteristic parameters identified by at least part of the detection signal and reflected signal.

[0088] 03: Based on the heating method information, determine the heating method for the food item corresponding to the type of food item.

[0089] The above-mentioned computer-readable storage medium transmits a detection signal to the food, which then interacts with the food to generate a reflected signal. However, the generated reflected signal differs depending on the type of food. Therefore, it is advantageous to obtain corresponding characteristic parameters from the specific conditions of the detection signal and reflected signal to determine the heating method for the food, thereby ensuring the heating effect of the food.

[0090] The computer-readable storage medium may be provided in the microwave cooking device 10, or it may be provided in another terminal from which the microwave cooking device 10 can communicate with other terminals to obtain the corresponding program.

[0091] To make it understandable, computer-readable storage media may include any entity or device, recording medium, USB disk, external hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), software distribution media, etc., that can hold computer programs. Computer programs contain the code of the computer program. The code of a computer program may be in source code format, object code format, executable file format, or some intermediate format, etc. Computer-readable storage media may include any entity or device, recording medium, USB disk, external hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), software distribution media, etc., that can hold computer program code.

[0092] In some embodiments of the present invention, the data acquisition processing module 12 may be a single-chip microcomputer chip integrating a processor, memory, communication module, etc. The processor may be a central processing unit (CPU), or it may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a commercially available field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic circuit element, a discrete hardware component, etc.

[0093] As those skilled in the art will understand, a description of a process or method described herein in a flowchart or otherwise may represent a module, fragment, or portion of code containing one or more executable instructions for accomplishing a particular logical function or step in a process, and the scope of preferred embodiments of the present invention includes other embodiments that involve performing functions substantially simultaneously or in reverse order by the relevant functions, without regard to the order illustrated or described.

[0094] The logic and / or steps shown in the flowchart or otherwise described herein can be considered, for example, a predetermined sequence list of executable instructions for realizing a logical function, and can be concretely implemented on any computer-readable medium for use in, or in combination with, instruction execution systems, devices, or equipment (e.g., computer-based systems, systems including processing modules, or other systems that can obtain and execute instructions from instruction execution systems, devices, or equipment).

[0095] Furthermore, “First” and “Second” are used solely for descriptive purposes and should not be understood as indicating or implying relative importance or implicitly specifying the number of technical features. Therefore, features limited by “First” and “Second” may explicitly or implicitly include one or more such features. In the description of this invention, “multiple” means two or more unless otherwise clearly and specifically limited.

[0096] While examples of the present invention have been illustrated and described, as will be understood by those skilled in the art, various changes, modifications, substitutions, and variations can be made to these examples without departing from the principles and spirit of the present invention, and the scope of the present invention is limited by the claims and equivalents. [Explanation of symbols]

[0097] 10: Microwave cooking device, 11: Microwave generation module, 12: Data acquisition and processing module, 13: Power control module, 14: Parameter acquisition module, 15: Cooking cavity, 16: Processor, 17: Memory.

Claims

1. A heating method used in a microwave cooking device, The steps include transmitting a detection signal to interact with the food ingredient and generate a reflected signal on the food ingredient, The steps include generating heating method information based on characteristic parameters identified by at least part of the detection signal and the reflection signal, The step of determining the heating method for the food ingredient corresponding to the type of food ingredient based on the heating method information is included. A heating method characterized by the following features.

2. A step of generating a phase distribution parameter included in the feature parameter based on the detection signal and the reflection signal, The step of generating amplitude parameters included in the feature parameters based on the detection signal and the reflection signal, In the step of generating heating method information based on characteristic parameters, The step includes performing data matching on the phase distribution parameter and performing data matching on the amplitude parameter to identify the heating method information. The heating method according to feature 1.

3. In the step of generating phase distribution parameters based on the detection signal and the reflection signal, A step of generating a reference detection signal based on a predetermined number of detection signals acquired, A step of comparing a predetermined number of the detection signals with the reference detection signal to obtain the detection phase distribution parameters included in the phase distribution parameters, A step of generating a reference reflection signal based on a predetermined number of reflection signals acquired, The step includes comparing a predetermined number of the reflected signals with the reference reflected signal to obtain the reflected phase distribution parameters included in the phase distribution parameters, In the step of performing data matching processing on the phase distribution parameters, The process includes: matching the detection phase distribution parameter with predetermined detection phase distribution data to obtain a first phase matching result for identifying the heating method information; and matching the reflection phase distribution parameter with predetermined reflection phase distribution data to obtain a second phase matching result for identifying the heating method information. The heating method according to feature 2.

4. In the step of generating a reference detection signal based on a predetermined number of acquired detection signals, A step of determining the frequency of the reference detection signal based on a predetermined number of detection signals obtained, The step of determining the phase and amplitude of the reference detection signal based on one of the aforementioned detection signals, In the step of generating a reference reflected signal based on a predetermined number of reflected signals obtained, A step of determining the frequency of the reference reflected signal based on a predetermined number of reflected signals obtained, The step of determining the phase and amplitude of the reference reflected signal based on one of the reflected signals includes: The heating method according to feature 3.

5. In the step of generating amplitude parameters based on the detection signal and the reflected signal, The steps include: performing an averaging process on a predetermined number of acquired detection signals to obtain detection amplitude parameters included in the amplitude parameters; The steps include: performing an averaging process on a predetermined number of the amplitudes of the reflected signals obtained to obtain the reflected amplitude parameters included in the amplitude parameters; In the step of performing data matching processing on the amplitude parameter, The process includes: a step of matching the detection amplitude parameter with predetermined detection amplitude data to obtain a first amplitude matching result for identifying the heating method information; and a step of matching the reflection amplitude parameter with predetermined reflection amplitude data to obtain a second amplitude matching result for identifying the heating method information. The heating method according to feature 2.

6. The step includes obtaining the operating state parameters included in the characteristic parameters of the microwave generating member for generating the detection signal, which is included in the microwave cooking apparatus, In the step of generating heating method information based on characteristic parameters, The step includes performing data matching processing on the aforementioned operating state parameters to identify the heating method information. The heating method according to feature 1.

7. The process includes averaging a predetermined number of acquired operating state data to obtain the operating state parameters, In the step of performing data matching processing on the aforementioned operating state parameters, The step includes matching the aforementioned operating state parameters with data for predetermined operating states and obtaining an operating state matching result for identifying the heating method information. The heating method according to feature 6.

8. The step includes generating reflection parameters included in the feature parameters based on the detection signal and the reflection signal, In the step of generating heating method information based on characteristic parameters, The step includes performing data matching processing on the reflection parameters to identify the heating method information. The heating method according to feature 1.

9. In the step of generating reflection parameters based on the detection signal and the reflection signal, The steps include: performing an averaging process on a predetermined number of peak-to-peak values ​​of the acquired detection signals to obtain a first reflection parameter; The steps include: performing an averaging process on a predetermined number of peak-to-peak values ​​of the acquired reflected signals to obtain a second reflection parameter; The process includes the step of performing a division operation on the first reflection parameter and the second reflection parameter to obtain the reflection parameter, In the step of performing data matching processing on the reflection parameters, The step includes matching the reflection parameter to predetermined peak-to-peak value data and obtaining a peak-to-peak value matching result for identifying the heating method information. The heating method according to feature 8.

10. A microwave generation module for transmitting a detection signal that can interact with food ingredients to generate a reflected signal on the food ingredients, A data acquisition processing module for generating heating method information based on characteristic parameters identified by at least part of the detection signal and the reflection signal, The system includes a power control module for determining the heating method for the food ingredient corresponding to the type of food ingredient, based on the heating method information. A microwave cooking apparatus characterized by the following features.

11. A microwave cooking apparatus comprising a memory storing a computer program and a processor, wherein when the processor executes the computer program, the steps of the heating method described in any one of claims 1 to 9 are realized. A microwave cooking apparatus characterized by the following features.

12. A computer-readable storage medium in which a computer program is stored, wherein when a processor executes the computer program, the steps of the heating method described in any one of claims 1 to 9 are realized. A computer-readable storage medium characterized by the following features.

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