Intelligent microwave oven power control method and system for unfreezing

Abstract

The invention discloses an intelligent microwave oven power control method and system for unfreezing, and the method comprises the steps: controlling a rotating disc to rotate a circle at a first constant speed when a microwave oven starts an unfreezing program at a first power, and monitoring the standing-wave ratio in a cavity of the microwave oven in real time at a preset sampling frequency; generating a standing-wave ratio sequence according to the standing-wave ratio value corresponding to each sampling point, and calculating a power adjustment coefficient corresponding to each turntable angle; generating a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power; and in the thawing stage, the turntable is controlled to rotate, and the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle to perform microwave emission, so that the problems of low energy utilization rate and unstable thawing effect caused by fixed power output and constant-speed rotation of the turntable are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving kitchen appliances, and particularly to an intelligent microwave oven power control method and system for thawing. Background Art

[0002] Traditional microwave oven thawing technology disperses microwave energy through the uniform rotation of a turntable and a fixed power output. However, due to the uneven shape and density distribution of food and local differences in the standing wave ratio within the microwave cavity, it results in ineffective heating areas (where the energy loss is low and the thawing efficiency is poor in areas with a high standing wave ratio) and uneven thawing (where areas with a low standing wave ratio are prone to overheating). Although existing improvement schemes introduce preset programs to adapt to food types, they cannot dynamically respond to real-time changes in microwave energy distribution and differences in storage conditions (such as freezing temperature curves), resulting in low energy utilization and unstable thawing effects. Summary of the Invention

[0003] In order to solve at least one of the above-mentioned technical problems, the present invention provides an intelligent microwave oven power control method and system for thawing.

[0004] In a first aspect, the present invention provides an intelligent microwave oven power control method for thawing, the method comprising:

[0005] When the microwave oven starts the thawing program at a first power, controlling the turntable to rotate uniformly at a first speed for one week, and simultaneously monitoring the standing wave ratio in the microwave oven cavity in real time at a preset sampling frequency;

[0006] Generating a standing wave ratio sequence according to the standing wave ratio values corresponding to each sampling point, and calculating a power adjustment coefficient corresponding to each turntable angle;

[0007] Based on the power adjustment coefficient and the preset first power, generating a dynamic power control sequence corresponding to each turntable angle;

[0008] During the thawing stage, controlling the turntable to rotate, and calling the corresponding power value in the dynamic power control sequence according to the real-time turntable angle for microwave emission.

[0009] Preferably, the method further comprises:

[0010] Dividing the standing wave ratio sequence into several segmented intervals, taking the average value of the standing wave ratio within each segmented interval to obtain a segmented power adjustment coefficient;

[0011] The segmented power adjustment coefficient satisfies the following formula:

[0012]

[0013] In the formula, W n represents the power adjustment coefficient of the segmented interval n, SWR nThe average value of the standing wave ratio for the segmented interval n is represented.

[0014] Preferably, the method further includes:

[0015] In the segmented interval where the average value of the standing wave ratio is less than the preset standing wave ratio threshold, control the turntable to rotate at a second speed lower than the first speed;

[0016] In the segmented interval where the average value of the standing wave ratio is greater than or equal to the preset standing wave ratio threshold, control the turntable to rotate at a third speed higher than the first speed.

[0017] Preferably, the second speed and the third speed are expressed as:

[0018]

[0019] In the formula, v j represents the real-time speed of the jth segmented interval, v 0 represents the first speed, β is the speed adjustment coefficient, SWR avg,j represents the average value of the standing wave ratio of the jth segmented interval, SWR th represents the preset standing wave ratio threshold.

[0020] Preferably, before controlling the turntable to rotate uniformly one week at the first speed when the microwave oven starts the thawing program at the first power, it further includes:

[0021] Obtain the storage information of the food to be thawed, and the storage information includes the freezing temperature curve and the storage duration;

[0022] Generate an initial temperature control curve corresponding to the thawing mode according to the storage information, and determine the first power and the first speed.

[0023] Preferably, after emitting microwaves according to the corresponding power value in the dynamic power control sequence by calling the real-time turntable angle, it further includes:

[0024] Dynamically update the power adjustment coefficient according to the change trend of the real-time standing wave ratio during the thawing process, and generate a new dynamic power adjustment sequence.

[0025] In a second aspect, the present invention also provides an intelligent microwave oven power control system for thawing, and the system includes:

[0026] A standing wave ratio monitoring module, used to control the turntable to rotate uniformly one week at the first speed when the microwave oven starts the thawing program at the first power, and simultaneously monitor the standing wave ratio in the microwave oven cavity in real time at a preset sampling frequency;

[0027] A power adjustment coefficient calculation module, used to generate a standing wave ratio sequence according to the standing wave ratio values corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle;

[0028] A dynamic power control sequence generation module, configured to generate a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power.

[0029] A power control module for the thawing stage, configured to control the rotation of the turntable during the thawing stage and call the corresponding power value in the dynamic power control sequence for microwave emission according to the real-time turntable angle.

[0030] Preferably, the system further includes:

[0031] A power adjustment sequence update module, configured to dynamically update the power adjustment coefficient according to the change trend of the real-time standing wave ratio during the thawing process and generate a new dynamic power adjustment sequence.

[0032] In a third aspect, the present invention further provides an electronic device, including a processor and a memory. The memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method according to the first aspect and any one of its possible implementation manners as described above.

[0033] In a fourth aspect, the present invention further provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor is caused to execute the method according to the first aspect and any one of its possible implementation manners as described above.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0035] 1) By monitoring the standing wave ratio in the microwave oven cavity in real time at the start of the thawing program and performing data preprocessing to eliminate outliers, generating a sequence based on the standing wave ratio values corresponding to each sampling point and calculating the power adjustment coefficient, and then generating a dynamic power control sequence corresponding to the turntable angle, and finally calling the corresponding power value for microwave emission according to the real-time turntable angle, the present invention solves the problems of low energy utilization efficiency and unstable thawing effect caused by fixed power output and uniform rotation of the turntable, realizes the dynamic optimization adjustment of the microwave energy distribution, significantly improves the energy utilization efficiency, improves the thawing uniformity, and can adapt to the thawing requirements under different food types and storage conditions, thereby greatly improving the overall efficiency of the microwave oven thawing process.

[0036] 2) The present invention monitors the standing wave ratio data during the rotation of the turntable in real time. Taking the starting angle of the current window as a reference, the window range is gradually expanded until the difference between the maximum standing wave ratio and the minimum standing wave ratio within the window exceeds the preset standing wave ratio difference threshold, and the current window range is determined as an independent partition. Subsequently, taking the termination angle of this partition as the starting angle of the next window, the above expansion and determination process is repeated until the partition of the entire turntable is completed. Through the dynamic window sliding mechanism, the partition boundary is adaptively adjusted according to the standing wave ratio fluctuation to ensure that the standing wave ratio difference within each partition is controllable, thereby accurately matching the local characteristics of the food shape, avoiding the mechanical limitation of fixed-angle partitioning, and improving the flexibility of power adjustment and the thawing uniformity.

[0037] 3) Based on the comparison between the average standing wave ratio and the preset threshold, the present invention reduces the rotation speed in the low standing wave ratio region to extend the microwave action time, and increases the rotation speed in the high standing wave ratio region to avoid local overheating, thereby significantly improving the utilization efficiency of microwave energy, ensuring the thawing uniformity. At the same time, through the flexible configuration of the rotation speed adjustment coefficient β, it adapts to the thawing requirements of different foods, effectively maintaining the taste and nutritional value of the food, and solving the problem of uneven energy distribution caused by the traditional fixed rotation speed mode.

[0038] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background art, the drawings required to be used in the embodiments of the present invention or the background art will be described below.

[0040] The drawings here are incorporated into the specification and form a part of this specification. These drawings show the embodiments that conform to the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure.

[0041] Figure 1 It is a schematic flow chart of an intelligent microwave oven power control method for thawing provided by an embodiment of the present invention;

[0042] Figure 2 It is a schematic flow chart of rotation speed adjustment control provided by an embodiment of the present invention;

[0043] Figure 3 It is a schematic structural diagram of an intelligent microwave oven power control system for thawing provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0045] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0046] Due to the uneven shape and density distribution of food and the local difference in the standing wave ratio in the microwave cavity, the traditional microwave oven thawing technology results in ineffective heating areas and uneven thawing.

[0047] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of an intelligent microwave oven power control method for thawing provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0048] S100, when the microwave oven starts the thawing program at a first power, control the turntable to rotate uniformly at a first speed for one week, and simultaneously monitor the standing wave ratio in the microwave oven cavity in real time at a preset sampling frequency;

[0049] When the microwave oven starts the thawing program at the first power, control the turntable to rotate uniformly at the first speed for one week, and at the same time monitor the standing wave ratio in the microwave oven cavity in real time at the preset sampling frequency (perform data preprocessing on the collected standing wave ratio to eliminate outliers). Specifically, the turntable drive module of the microwave oven adopts a closed-loop control system composed of a stepper motor and a gear transmission mechanism. The first speed is stably controlled at 3 revolutions per minute through the PID algorithm. A directional coupler is used to collect microwave transmission signals in real time, and a detector converts the microwave energy into a voltage signal of 0 - 5V, which is digitized by a 16-bit analog-to-digital converter at a sampling frequency of 100Hz. The standing wave ratio is calculated by the formula VSWR = (1 + Γ) / (1 - Γ), where Γ is the reflection coefficient and is obtained by monitoring the forward and reverse power ratio in real time. In the data preprocessing stage, perform a sliding window smoothing process on the collected standing wave ratio sequence. The window size is 3 sampling points. Identify and eliminate outliers outside 3σ based on the Z-score method to ensure the validity of the subsequent analysis data. For example, when it is detected that the standing wave ratio at a certain sampling point suddenly jumps more than 2 times the average standing wave ratio of the cavity, this data point will be marked as invalid.

[0050] S200, generate a standing wave ratio sequence according to the standing wave ratio values corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle;

[0051] Generate a standing wave ratio sequence according to the standing wave ratio values corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle. Among them, the power adjustment coefficient is defined as the reciprocal of the standing wave ratio, that is, the larger the standing wave ratio, the smaller the corresponding power adjustment coefficient. This is because the area with a high standing wave ratio often corresponds to the area where the food absorbs microwave energy with low efficiency. At this time, if a high power output is maintained, it may lead to energy waste and even local overheating, while the area where the standing wave ratio is close to 1 indicates a high energy absorption efficiency. Therefore, it is necessary to maintain or appropriately increase the power output. For example, in a certain sampling, it is found that the power adjustment coefficient in the area where the standing wave ratio is 3 is 0.33, that is, when the turntable rotates to this area, the microwave power should be reduced to about one-third of the reference power to avoid energy waste and improve the thawing effect.

[0052] In this embodiment, the preprocessed standing wave ratio data is spatially mapped according to the turntable rotation angle (for example, every 1° is an angle unit) to generate a standing wave ratio sequence with the angle as the abscissa and the standing wave ratio value as the ordinate. For each turntable angle, calculate the power adjustment coefficient according to the corresponding standing wave ratio value. The specific formula is power adjustment coefficient = 1 / standing wave ratio. For example, when the standing wave ratio at a certain angle is 2, the adjustment coefficient is 0.5; when the standing wave ratio is 1.2, the power adjustment coefficient is 0.83. Further, to eliminate the influence of extreme values, perform normalization processing on the power adjustment coefficient to map it to the interval of 0.2 to 1 to ensure that the power adjustment range is within a controllable range.

[0053] S300, generate a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power;

[0054] Generate a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and the first power, where the dynamic power is the reference power value multiplied by the corresponding power adjustment coefficient. Specifically, assume the first power is set to 800W, and at a certain turntable angle, the corresponding power adjustment coefficient is 0.5, then the dynamic power at this angle is 400W. This dynamic power distribution method can flexibly adjust the microwave output power according to the energy distribution characteristics in different regions of the cavity, thus effectively solving the problem of uneven thawing caused by fixed power in traditional microwave ovens. At the same time, in order to achieve more precise power adjustment, pulse width modulation technology (PWM) also needs to be introduced to finely control the output signal of the microwave generator. For example, when the target power is 400W, the actual output power can be stabilized near this value by adjusting the PWM duty cycle, so as to ensure the accurate delivery of microwave energy. In addition, considering that the thawing requirements of different food types may vary, a set of multi-mode power curve templates can be pre-stored for users to choose, so as to better meet the personalized thawing needs.

[0055] In this embodiment, based on the power adjustment coefficients of each angle obtained in step S200, a dynamic power control sequence is generated in combination with the reference power value. Specifically, the dynamic power value corresponding to each turntable angle is the reference power × power adjustment coefficient × normalization factor, where the normalization factor is used to compensate for the overall energy loss caused by power adjustment. For example, when the reference power is 800W and the adjustment coefficient at a certain angle is 0.5, the actual output power is 800×0.5×1.2 = 480W (assuming the normalization factor is 1.2). In addition, according to the storage conditions of the food (such as the freezing temperature curve), the reference power is dynamically adjusted: for deeply frozen ingredients with an initial temperature lower than -15°C, the reference power is increased to 1000W to accelerate thawing; for mildly frozen ingredients at -5°C to 0°C, the reference power is reduced to 600W to prevent overheating of the surface.

[0056] S400, control the turntable to rotate during the thawing stage, and call the corresponding power value in the dynamic power control sequence according to the real-time turntable angle for microwave emission.

[0057] While controlling the rotation of the turntable during the thawing stage, the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle to perform microwave emission. A high-precision angle encoder is used to obtain the rotation position of the turntable in real time, and a closed-loop feedback control system quickly responds to angle changes to ensure that the microwave power can be accurately output according to the predetermined dynamic power control sequence. For example, when the turntable rotates to a certain area with a relatively high standing wave, the microwave power is reduced to reduce energy loss, and when the turntable rotates to an area with a relatively low standing wave ratio, the power output is restored or increased, thereby achieving dynamic optimization of the microwave energy distribution in the cavity. In a possible embodiment, a temperature sensor can also be combined to monitor the temperature change of the food surface in real time, and the temperature information can be input into the power adjustment model as an auxiliary parameter to form a more intelligent thawing strategy. For example, when it is detected that the temperature of a certain area rises too fast, the power output can be appropriately reduced even if the standing wave ratio is relatively low to prevent the occurrence of local overheating.

[0058] In this embodiment, by monitoring the standing wave ratio in the microwave oven cavity in real time when the thawing program is started and performing data preprocessing to eliminate abnormal values, a sequence is generated according to the standing wave ratio value corresponding to each sampling point and the power adjustment coefficient is calculated, thereby generating a dynamic power control sequence corresponding to the turntable angle, and finally calling the corresponding power value according to the real-time turntable angle to perform microwave emission, effectively solving the problems of low energy utilization and unstable thawing effect caused by fixed power output and uniform rotation of the turntable, realizing dynamic optimization and adjustment of microwave energy distribution, significantly improving energy utilization efficiency, improving thawing uniformity, and being able to adapt to the thawing requirements under different food types and storage conditions, thereby greatly improving the overall efficiency of the microwave oven thawing process.

[0059] Preferably, the method further comprises:

[0060] The standing wave ratio sequence is divided into several segmented intervals, and the standing wave ratio in each segmented interval is averaged to obtain the segmented power adjustment coefficient;

[0061] The power adjustment coefficient of the segment satisfies the following formula:

[0062]

[0063] Where W n Indicates the power adjustment factor of segment interval n, SWR n It represents the average value of the standing wave ratio of segment interval n.

[0064] In this embodiment, the standing wave ratio sequence generated according to step S200 is divided into several segmented intervals. For example, it can be divided based on the rotation angle of the turntable (such as every 30° as a segmented interval). The average value of the standing wave ratio within each segmented interval is taken. For example, within a 30° angular interval, if the collected standing wave ratio sequence is [2.5, 2.7, 2.6], then the average value of the standing wave ratio in this interval is (2.5 + 2.7 + 2.6) / 3 = 2.6. Based on the obtained average value of the standing wave ratio, the power adjustment coefficient for each segmented interval is calculated. Specifically, the formula where W n represents the power adjustment coefficient of the nth segmented interval, and SWR n represents the average value of the standing wave ratio in this segmented interval. For example, if the average value of the standing wave ratio in a certain segmented interval is 2.6, then the corresponding power adjustment coefficient is W n = 1 / 2.6 ≈ 0.385.

[0065] In a possible embodiment, the standing wave ratio data during the rotation of the turntable is monitored in real time. Based on the starting angle of the current window, the window range is gradually expanded until the difference between the maximum standing wave ratio and the minimum standing wave ratio within the window exceeds the preset standing wave ratio difference threshold, and the current window range is determined as an independent partition; subsequently, the termination angle of this partition is used as the starting angle of the next window, and the above expansion and determination process is repeated until the partition of the entire turntable is completed. In this embodiment, through the dynamic window sliding mechanism, the partition boundary is adaptively adjusted according to the standing wave ratio fluctuation, ensuring that the standing wave ratio difference within each partition is controllable, thereby accurately matching the local characteristics of the food shape, avoiding the mechanical limitation of the fixed-angle partition, and improving the flexibility of power adjustment and the thawing uniformity.

[0066] Referring to Figure 2 , preferably, the method further includes:

[0067] S410, in the segmented interval where the average value of the standing wave ratio is less than the preset standing wave ratio threshold, controlling the turntable to rotate at a second speed lower than the first speed;

[0068] S420, in the segmented interval where the average value of the standing wave ratio is greater than or equal to the preset standing wave ratio threshold, controlling the turntable to rotate at a third speed higher than the first speed.

[0069] When the average value of the standing wave ratio within a certain segmented interval is detected to be lower than the set threshold, it indicates that the food in this area has a high absorption efficiency of microwave energy. At this time, the turntable speed is slowed down to the second speed (for example, from 3 revolutions per minute to 2 revolutions per minute) to ensure that the food can fully absorb energy. If the average value of the standing wave ratio in a certain area is higher than the set threshold, the turntable speed is increased to the third speed (for example, from 3 revolutions per minute to 4 revolutions per minute). This can reduce the risk of local overheating because the food in these areas may have a low absorption efficiency of microwave energy.

[0070] Preferably, the second speed and the third speed are expressed as:

[0071]

[0072] In the formula, v j represents the real-time speed of the jth segmented interval, v 0 represents the first speed, β is the speed adjustment coefficient, SWR avg,j represents the average value of the standing wave ratio of the jth segmented interval, SWR th represents the preset standing wave ratio threshold.

[0073] In this embodiment, the preset standing wave ratio threshold SWR t = 1.5, the initial speed v 0 = 5 rpm, the adjustment coefficient β = 0.2. After the turntable rotates one week, the standing wave ratio data is divided into multiple segmented intervals according to a sliding window, and the average value of the standing wave ratio within each interval is calculated. If the SWR avg,j of a certain segment = 1.2 (less than the threshold), then the speed of this segment is calculated according to the formula to be 4.8 rpm, and the turntable rotates at a low speed of 4.8 rpm in this segment, extending the microwave action time to avoid energy waste in the low-loss area. If the SWR avg,j of a certain segment = 2.0 (greater than the threshold), then substituting it into the calculation formula, the speed is 5.33 rpm, and the turntable rotates at a high speed of 5.33 rpm in this segment, shortening the residence time in the high-loss area to prevent local overheating. For high-moisture foods (such as meat), set β = 0.3 to enhance the response sensitivity of the speed to the standing wave ratio. For low-moisture foods (such as bread), set β = 0.1 to reduce the speed fluctuation and ensure the thawing stability.

[0074] In this embodiment, based on the comparison between the average value of the standing wave ratio and the preset threshold, the speed is reduced in the low standing wave ratio area to extend the microwave action time, and the speed is increased in the high standing wave ratio area to avoid local overheating, thereby significantly improving the utilization efficiency of microwave energy, ensuring the thawing uniformity. At the same time, by flexibly configuring the speed adjustment coefficient β to adapt to the thawing requirements of different foods, the taste and nutritional value of the food are effectively maintained, and the problem of uneven energy distribution caused by the traditional fixed speed mode is solved.

[0075] Preferably, before the turntable is controlled to rotate uniformly for one week at the first speed when the microwave oven starts the thawing program at the first power, it further includes:

[0076] Obtain the storage information of the food to be thawed, where the storage information includes the freezing temperature curve and the storage duration;

[0077] Generate an initial temperature control curve corresponding to the thawing mode according to the storage information, and determine the first power and the first speed.

[0078] By scanning the QR code or RFID tag on the food packaging, the microwave oven can automatically obtain relevant information of the food to be thawed, including but not limited to the freezing temperature curve, storage duration, food type (such as meat, seafood, vegetables, etc.), weight, and recommended thawing parameters. Calculate the most suitable thawing plan based on the above information. For example, for meat that has been stored at extremely low temperatures for a long time, a more gentle and longer thawing process may be required; while for vegetables refrigerated for a short time, a faster thawing method may be applicable. Based on the analysis results, a personalized temperature control curve is generated. The temperature control curve not only considers the optimal thawing temperature range of the food but also combines the heating characteristics of the microwave oven itself to ensure that all parts of the food can be evenly heated during the entire thawing process. According to the generated temperature control curve, the microwave oven will automatically set the first power level when starting the thawing program and the first speed of the turntable. For example, if the temperature control curve shows that a slow and stable temperature increase is required, a lower first power will be selected to avoid local overheating, and a moderate first speed will be set to ensure that all sides of the food can receive uniform microwave radiation.

[0079] Preferably, after the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle for microwave emission, it further includes:

[0080] Dynamically update the power adjustment coefficient according to the change trend of the real-time standing wave ratio during the thawing process, and generate a new dynamic power adjustment sequence.

[0081] The initial dynamic power adjustment sequence is generated based on the standing wave ratio data collected during the first rotation of the turntable. The preset standing wave ratio change threshold is 0.3, and the update period is to perform data sampling once every rotation. During the thawing process, the standing wave ratio value of the current angle interval is collected in real time and compared with the average value of the standing wave ratio in the initial corresponding interval to calculate the change amplitude. If the change amplitude is greater than or equal to the preset standing wave ratio change threshold, it is determined that the standing wave ratio in this interval has changed significantly (such as due to local thawing of the food resulting in a decrease in the wave absorption ability). Recalculate the power adjustment coefficient for this interval and replace the corresponding value in the original sequence to generate a new dynamic power adjustment sequence, and control the microwave emission according to the updated power value.

[0082] In summary, the method provided in this embodiment can at least achieve the following effects:

[0083] 1) When the thawing program is started, the present invention monitors the standing wave ratio in the microwave oven cavity in real time and performs data preprocessing to eliminate outliers, generates a sequence based on the standing wave ratio values corresponding to each sampling point, calculates the power adjustment coefficient, and then generates a dynamic power control sequence corresponding to the turntable angle. Finally, the corresponding power value is called according to the real-time turntable angle for microwave emission, effectively solving the problems of low energy utilization efficiency and unstable thawing effect caused by fixed power output and uniform rotation of the turntable, realizing the dynamic optimization and adjustment of the microwave energy distribution, significantly improving the energy utilization efficiency, improving the thawing uniformity, and being able to adapt to the thawing requirements under different food types and storage conditions, thereby greatly improving the overall efficiency of the microwave oven thawing process.

[0084] 2) By monitoring the standing wave ratio data during the rotation of the turntable in real time, with the starting angle of the current window as the reference, the window range is gradually expanded until the difference between the maximum standing wave ratio and the minimum standing wave ratio in the window exceeds the preset standing wave ratio difference threshold, and the current window range is determined as an independent partition; then, taking the termination angle of this partition as the starting angle of the next window, repeating the above expansion and determination process until the partition of the entire turntable is completed. Through the dynamic window sliding mechanism, the partition boundary is adaptively adjusted according to the standing wave ratio fluctuation to ensure that the standing wave ratio difference within each partition is controllable, thus accurately matching the local characteristics of the food shape, avoiding the mechanical limitation of fixed-angle partitioning, and improving the flexibility of power adjustment and the thawing uniformity.

[0085] 3) Based on the comparison between the average standing wave ratio and the preset threshold, the present invention reduces the rotation speed in the low standing wave ratio area to extend the microwave action time, and increases the rotation speed in the high standing wave ratio area to avoid local overheating, thereby significantly improving the utilization efficiency of microwave energy, ensuring the thawing uniformity, and at the same time adapting to the thawing requirements of different foods through the flexible configuration of the rotation speed adjustment coefficient β, effectively maintaining the taste and nutritional value of the food, and solving the problem of uneven energy distribution caused by the traditional fixed rotation speed mode.

[0086] See Figure 3 , in one embodiment, an intelligent microwave oven power control system for thawing is further provided. The system includes:

[0087] A standing wave ratio monitoring module 100, configured to control the turntable to rotate uniformly for one week at a first speed when the microwave oven starts the thawing program with a first power, and at the same time, monitor the standing wave ratio in the microwave oven cavity in real time at a preset sampling frequency;

[0088] A power adjustment coefficient calculation module 200, configured to generate a standing wave ratio sequence based on the standing wave ratio values corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle;

[0089] A dynamic power control sequence generation module 300 is configured to generate a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power.

[0090] A thawing stage power control module 400 is configured to control the rotation of the turntable during the thawing stage and call the corresponding power value in the dynamic power control sequence for microwave emission according to the real-time turntable angle.

[0091] Preferably, the system further includes:

[0092] A power adjustment sequence update module is configured to dynamically update the power adjustment coefficient according to the change trend of the real-time standing wave ratio during the thawing process and generate a new dynamic power adjustment sequence.

[0093] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the methods described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0094] The present invention also provides an electronic device, including a processor and a memory. The memory is configured to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method in any of the above possible implementation manners.

[0095] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor is caused to execute the method in any of the above possible implementation manners.

[0096] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0097] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein. Those skilled in the art can also clearly understand that each embodiment of the present invention has different focuses in description. For the convenience and conciseness of description, the same or similar parts may not be elaborated in different embodiments. Therefore, the parts not described or not described in detail in a certain embodiment can be referred to the descriptions of other embodiments.

Claims

1. An intelligent microwave oven power control method for thawing, characterized in that: The following steps are involved: When the microwave oven starts the defrosting program at the first power, the turntable is controlled to rotate uniformly at the first speed for one circle, and the standing wave ratio in the microwave oven cavity is monitored in real time at a preset sampling frequency; Generate a standing wave ratio sequence according to the standing wave ratio value corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle; Based on the power adjustment coefficient and the preset first power, a dynamic power control sequence corresponding to each turntable angle is generated; During the thawing stage, the turntable is controlled to rotate, and the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle to perform microwave emission.

2. The intelligent microwave oven power control method for thawing according to claim 1, characterized in that: The method further comprises: The standing wave ratio sequence is divided into several segmented intervals, and the standing wave ratio in each segmented interval is averaged to obtain the segmented power adjustment coefficient; The power adjustment coefficient of the segment satisfies the following formula: Where W n Indicates the power adjustment factor of segment interval n, SWR n It represents the average value of the standing wave ratio of segment interval n.

3. The intelligent microwave oven power control method for thawing according to claim 2, characterized in that: The method further comprises: In a segmented interval where the average value of the standing wave ratio is less than a preset standing wave ratio threshold, controlling the turntable to rotate at a second speed lower than the first speed; In a segmented interval where the average value of the standing wave ratio is greater than or equal to a preset standing wave ratio threshold, the turntable is controlled to rotate at a third speed higher than the first speed.

4. The intelligent microwave oven power control method for thawing according to claim 3, characterized in that: The second speed and the third speed are expressed as: In the formula, v j represents the real-time speed of the jth segment interval, v0 represents the first speed, β is the speed adjustment coefficient, SWR avg,j represents the average value of the standing wave ratio of the jth segment interval, SWR th Indicates the preset VSWR threshold.

5. The intelligent microwave oven power control method for thawing according to claim 1, characterized in that: When the microwave oven starts the thawing program at the first power, before the turntable is controlled to rotate uniformly at the first speed for one circle, the method further includes: Acquiring storage information of food to be thawed, wherein the storage information includes a freezing temperature curve and a storage time; An initial temperature control curve corresponding to the thawing mode is generated according to the stored information, and the first power and the first speed are determined.

6. The intelligent microwave oven power control method for thawing according to claim 1, characterized in that: After the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle to perform microwave emission, the method further includes: According to the change trend of the real-time standing wave ratio during the thawing process, the power adjustment coefficient is dynamically updated, and a new dynamic power adjustment sequence is generated.

7. An intelligent microwave oven power control system for thawing, characterized in that: The system comprises: A standing wave ratio monitoring module, used for controlling the turntable to rotate uniformly at a first speed for one circle when the microwave oven starts a defrosting program at a first power, and simultaneously monitoring the standing wave ratio in the microwave oven cavity in real time at a preset sampling frequency; The power adjustment coefficient calculation module is used to generate a standing wave ratio sequence according to the standing wave ratio values ​​corresponding to each sampling point, and calculate the power adjustment coefficient corresponding to each turntable angle; A dynamic power control sequence generation module, used to generate a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power; The thawing stage power control module is used to control the rotation of the turntable during the thawing stage, and call the corresponding power value in the dynamic power control sequence according to the real-time turntable angle to transmit microwaves.

8. The intelligent microwave oven power control system for thawing according to claim 7, characterized in that: The system further comprises: The power adjustment sequence updating module is used to dynamically update the power adjustment coefficient according to the change trend of the real-time standing wave ratio during the thawing process, and generate a new dynamic power adjustment sequence.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store computer program codes, wherein the computer program codes include computer instructions, and when the processor executes the computer instructions, the electronic device executes the intelligent microwave oven power control method for thawing as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the intelligent microwave oven power control method for thawing as described in any one of claims 1 to 6.

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