Method, device and microwave oven for controlling a microwave oven

Abstract

The application relates to the technical field of household appliances, and discloses a method for controlling a microwave oven, which comprises the following steps: triggering a semiconductor refrigeration module to perform refrigeration and triggering a microwave heating module to be in a state of stopping working in the case that food is placed in the microwave oven; acquiring an image of the food in the microwave oven according to a preset time interval; determining a change degree of the food according to the image of the food; and triggering a tray to rotate according to the change degree of the food. In the case that food is placed in the microwave oven, the semiconductor refrigeration module is triggered to perform refrigeration and the microwave heating module is triggered to be in a state of stopping working, and the tray is triggered to rotate according to the change degree of the food when the semiconductor refrigeration module performs refrigeration, so that the tray can drive the food on the tray to rotate and cause air in the microwave oven to flow, so as to automatically adjust the refrigeration balance degree of the microwave oven according to the change of the refrigerated food in the microwave oven. The application further discloses a device for controlling the microwave oven and the microwave oven.

Description

Technical Field

[0001] This application relates to the field of home appliance technology, such as a method, apparatus, and microwave oven for controlling a microwave oven. Background Technology

[0002] With the ever-accelerating pace of life, the automatic heating or cooking of food is a crucial issue to address in order to achieve smart living. To directly heat food inside a microwave oven, existing technology has developed the use of semiconductor cooling modules. These modules cool the food inside the microwave oven, thus extending its shelf life and allowing users to pre-heat it after a preset time.

[0003] In the process of implementing the embodiments of this disclosure, it has been found that the related technology has at least the following problems: Existing microwave ovens usually have a microwave heating module set in a more central position in order to heat evenly. Therefore, the semiconductor cooling module is usually set in the side wall or side. This makes it easy for the cold air in the microwave oven to concentrate around the semiconductor cooling module. As a result, the food refrigerated in the microwave oven is prone to change due to uneven cooling. Even after the food in the microwave oven has changed, it continues to be in an uneven cooling environment, which can easily cause the food to spoil. Summary of the Invention

[0004] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0005] This disclosure provides a method, apparatus, and microwave oven for controlling a microwave oven, which can automatically adjust the cooling balance of the microwave oven according to changes in the food being refrigerated inside.

[0006] In some embodiments, the microwave oven includes a semiconductor cooling module, a microwave heating module, and a tray, and the method for controlling the microwave oven includes:

[0007] When food is placed in the microwave oven, the semiconductor cooling module is triggered to cool down and the microwave heating module is triggered to stop working.

[0008] Images of the food inside the microwave oven are acquired at preset time intervals;

[0009] Determine the degree of change in the food based on the image of the food;

[0010] The tray is triggered to rotate based on the degree of change in the food.

[0011] In some embodiments, the apparatus for controlling a microwave oven includes a processor and a memory storing program instructions, the processor being configured to execute the method for controlling a microwave oven as described above when executing the program instructions.

[0012] In some embodiments, the microwave oven includes the aforementioned means for controlling the microwave oven.

[0013] The method, apparatus, and microwave oven for controlling a microwave oven provided in this disclosure can achieve the following technical effects: when food is placed inside the microwave oven, the semiconductor cooling module is triggered to cool and the microwave heating module is triggered to stop working. When the semiconductor cooling module is cooling, the tray is triggered to rotate according to the degree of change of the food. In this way, the tray can drive the food on the tray to rotate, causing air flow inside the microwave oven, so as to automatically adjust the cooling uniformity of the microwave oven according to the changes of the refrigerated food inside the microwave oven, making the microwave oven cool more evenly and the food cools more evenly.

[0014] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0015] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0016] Figure 1 This is a schematic diagram of a method for controlling a microwave oven provided in an embodiment of this disclosure;

[0017] Figure 2 This is a schematic diagram of a device for controlling a microwave oven provided in an embodiment of this disclosure. Detailed Implementation

[0018] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0019] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0020] Unless otherwise stated, the term "multiple" means two or more.

[0021] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0022] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0023] Combination Figure 1 As shown, this disclosure provides a method for controlling a microwave oven, the microwave oven including a semiconductor cooling module, a microwave heating module, and a tray, the method for controlling the microwave oven including:

[0024] Step S101: When food is placed in the microwave oven, the semiconductor cooling module is triggered to cool and the microwave heating module is triggered to stop working.

[0025] Step S102: Acquire images of the food inside the microwave oven at preset time intervals;

[0026] Step S103: Determine the degree of change in the food based on the image of the food;

[0027] Step S104: The tray is rotated based on the degree of change in the food.

[0028] The method for controlling a microwave oven provided in this disclosure, when food is placed inside the microwave oven, triggers the semiconductor cooling module to cool and triggers the microwave heating module to stop working. When the semiconductor cooling module is cooling, the tray is triggered to rotate according to the degree of change of the food. In this way, the tray can drive the food on the tray to rotate, causing air flow inside the microwave oven, so as to automatically adjust the cooling uniformity of the microwave oven according to the changes of the refrigerated food inside the microwave oven, making the microwave oven cool more evenly and the food cools more evenly.

[0029] Optionally, by acquiring an image of the microwave oven's interior cavity and identifying food in the image, it can be determined that food is placed inside the microwave oven.

[0030] Optionally, the presence of food inside the microwave oven can be determined by the difference in reflection between food and the microwave oven cavity detected by sensors such as infrared and ultrasonic sensors. The presence of food inside the microwave oven can be detected by a combination of one or more of the following sensors: infrared sensor, radar, laser sensor, and ultrasonic sensor. Optionally, the presence of food inside the microwave oven can be detected by the signal reflection detected by the sensors. Optionally, if the signal reflection information detected by the sensors inside the microwave oven differs from preset signal reflection information, it is determined that food is inside the microwave oven.

[0031] Optionally, the microwave oven includes a camera device. Optionally, the camera device acquires an image of the microwave oven's interior cavity; the image of the microwave oven's interior cavity is used to determine whether food is placed inside the microwave oven. Optionally, the image of the microwave oven's interior cavity is acquired and image recognition is performed on the image; if the type of food is determined, it is determined that food is placed inside the microwave oven. Optionally, the microwave oven includes an image recognition device; the image recognition device identifies the image of the microwave oven's interior cavity, and the identification result determines whether food is present in the image of the microwave oven's interior cavity. Optionally, the pixel values ​​of the corresponding pixels in the microwave oven's interior cavity image to be identified are compared with those in a preset initial background image; if the difference in pixel values ​​between a set number of pixels is greater than or equal to a set threshold, it is determined that food is present in the microwave oven's interior cavity image to be identified; if the difference in pixel values ​​between a set number of pixels is less than a set number, it is determined that food is not present in the microwave oven's interior cavity image to be identified. Optionally, the initial background image is an image of the microwave oven's interior cavity when there is no food inside the microwave oven.

[0032] Optionally, the microwave oven includes a camera device. Optionally, the camera device acquires an image of the microwave oven's interior; based on the image, it is determined whether food is placed inside the microwave oven. Optionally, the image of the microwave oven's interior is acquired and image recognition is performed on the image; if the type of food is determined, it is determined that food is placed inside the microwave oven.

[0033] Optionally, the microwave oven includes an image recognition device. The image recognition device identifies the image inside the microwave oven cavity and determines whether there is food in the image based on the recognition result. Optionally, the pixel values ​​of corresponding pixels in the microwave oven cavity image to be identified are compared with those in a preset initial background image. If the difference in pixel values ​​of a set number of pixels is greater than or equal to a set threshold, then it is determined that there is food in the microwave oven cavity image to be identified; if the difference in pixel values ​​of fewer than a set number of pixels is greater than the set threshold, then it is determined that there is no food in the microwave oven cavity image to be identified. Optionally, the initial background image is the image inside the microwave oven cavity when there is no food inside.

[0034] Optionally, the presence of food inside the microwave oven can be determined by the difference in reflection between food and the microwave oven cavity detected by sensors such as infrared and ultrasonic sensors. The presence of food inside the microwave oven can be detected by a combination of one or more of the following sensors: infrared sensor, radar, laser sensor, and ultrasonic sensor. Optionally, the presence of food inside the microwave oven can be detected by the signal reflection detected by the sensors. Optionally, if the signal reflection information detected by the sensors inside the microwave oven differs from preset signal reflection information, it is determined that food is inside the microwave oven.

[0035] Optionally, triggering the semiconductor cooling module to perform cooling includes: triggering the semiconductor cooling module to perform cooling at the cooling temperature corresponding to the first preset time period at different first preset time periods.

[0036] Optionally, triggering the semiconductor cooling module to cool at the cooling temperature corresponding to the first preset time period at different first preset time periods includes: acquiring food images inside the microwave oven; performing image recognition on the food images to obtain the food type in the food images; matching the cooling temperature corresponding to the food type and the cooling time period corresponding to the cooling temperature in a preset cooling temperature database; the cooling temperature database stores the correspondence between food type, cooling temperature, and cooling time period; determining the matched cooling time period as the first preset time period, and cooling at the cooling temperature corresponding to the first preset time period according to the first preset time period. In some embodiments, an example table of the cooling temperature database is shown in Table 1.

[0037] Table 1

[0038] pork <![CDATA[-4 0 ]]> 3 minutes Fish meat <![CDATA[-2 0 ]]> 2 minutes Hamburger <![CDATA[4 0 ]]> 0.5 minutes

[0039] In some embodiments, as shown in Table 1, when the food type is pork, the corresponding cooling temperature is -4. 0 The corresponding cooling time period is 3 minutes, meaning the first preset time period is 3 minutes. For example, when cooling pork, the microwave oven receives a cooling command, the microwave oven's semiconductor cooling module begins cooling, and within 3 minutes, it cools at -4... 0 The cooling temperature is set to -2 degrees Celsius. For fish, the appropriate cooling temperature is -2 degrees Celsius. 0 The corresponding cooling time is 2 minutes. When the food type is a hamburger, the corresponding cooling temperature is 4. 0 The corresponding cooling time period is 0.5 minutes.

[0040] Optionally, determining the degree of change in food based on the food image includes: comparing pixels at the same location in two food images acquired at adjacent times, and determining the degree of change in food by the number of different pixels at the same location in the two food images. For example, if the number of pixels at the same corresponding location but different from each other in two food images is 50, then the degree of change in food is 50. Optionally, pixels with different RGB values ​​are defined as different pixels. Optionally, pixels at the same location in two food images are defined as two pixels with the same coordinates in the two food images. For example, a pixel with coordinates (1,2) in one food image is compared with a corresponding pixel with coordinates (1,2) in another food image to determine whether these two pixels are the same. Optionally, the number of rows of pixels in the food image is the horizontal axis, and the number of columns of pixels in the food image is the vertical axis.

[0041] Optionally, the tray rotation is triggered based on the degree of change in the food, including: triggering the tray rotation when the degree of change in the food reaches a preset threshold. In some embodiments, the degree of change in the food reaching the preset threshold means that the cooling temperature is not low enough, resulting in poor freezing or refrigeration and causing the food to soften. By rotating the tray, the food on the tray rotates, causing airflow inside the microwave oven, making the microwave oven's cooling more even and the food easier to cool evenly.

[0042] Optionally, triggering the tray to rotate includes: determining the rotation time of the tray, and triggering the tray to rotate according to the rotation time. For example, if the rotation time is 5 minutes, then the tray is triggered to rotate for 5 minutes.

[0043] Optionally, the image inside the microwave oven cavity when there is food inside is identified as the food image. Optionally, determining the tray rotation time includes: acquiring a food image; performing image recognition on the food image to obtain the food type in the food image; and obtaining the tray rotation time based on the food type. Optionally, obtaining the tray rotation time based on the food type includes: matching the tray rotation time corresponding to the food type in a preset tray rotation time database, wherein the tray rotation time database stores the correspondence between food types and tray rotation times.

[0044] Optionally, an image of food inside the microwave oven is acquired using a camera device. Optionally, the food image is identified to determine the food type, including: extracting features from the food image to be identified; extracting features from reference images corresponding to each food type in a preset food type database; comparing the features of the food image to be identified with the features of the reference images in the food type database to obtain a reference image that matches the food image to be identified; and determining the food type corresponding to the matched reference image as the food type of the food image to be identified; wherein the food type database stores reference images corresponding to each food type.

[0045] Optionally, triggering the tray to rotate includes: determining the tray's rotation time interval and rotation angle; triggering the tray to rotate by the rotation angle according to the rotation time interval.

[0046] Optionally, the food image is divided into regions according to preset rules to determine the image region with the greatest degree of food variation, and the tray rotation angle is determined based on this image region. Optionally, determining the tray rotation angle based on the image region with the greatest degree of food variation includes: matching the tray rotation angle corresponding to the image region with the greatest degree of food variation in a preset rotation angle database; wherein the preset rotation angle database stores the correspondence between each image region and the tray rotation angle. Food corresponding to the image region with the greatest degree of food variation does not perform well in freezing or refrigeration; by quickly moving the food corresponding to this image region towards the semiconductor refrigeration device, it is easier to achieve even refrigeration or freezing of the food.

[0047] Optionally, determining the rotation time interval of the tray includes: performing image recognition on the food image to determine the food type; and determining the rotation time interval of the tray based on the food type. Since different foods are cooled to different degrees at different rotation time intervals, obtaining the rotation time interval corresponding to the food type and triggering the tray to rotate according to the rotation time interval corresponding to the food type enables targeted cooling for different foods.

[0048] Optionally, determining the rotation angle of the tray includes: performing image recognition on an image of the food to determine the type of food; and determining the rotation angle of the tray based on the type of food.

[0049] Optionally, image recognition is performed on the food image to determine the type of food, including: inputting the food image into a preset classifier for recognition to obtain the type of food in the food image.

[0050] Optionally, food images are input into a pre-defined neural network model for recognition. This pre-defined neural network model is obtained through the following methods: acquiring food image samples; constructing a convolutional neural network, which includes a region network and a classification network. The region network includes at least one convolutional layer, at least one pooling layer, and two fully connected layers; generating multiple input files, each of which includes food image samples, model parameters of the pooling layers in the region network, model parameters of the fully connected layers, and at least one convolutional kernel in the convolutional layers; starting Map tasks on the Mapper side of each node on the Hadoop platform, with each Mapper acquiring the input files and outputting at least one target candidate region on the food image samples; starting Reduce tasks on the Reducer side of each node on the Hadoop platform, with each Reducer acquiring at least one target candidate region and training the classification network once using at least one target candidate region and the backpropagation algorithm; initializing the region network using the trained classification network to allow the region network and classification network to share convolutional layers, and adjusting the parameters of the pooling layers and fully connected layers in the region network; stopping the iteration when the function value of the pre-defined loss function of the region network reaches a preset value.

[0051] Optionally, the tray rotation time interval is determined according to the type of food, including: matching the tray rotation time interval corresponding to the type of food in a preset rotation time interval database; the rotation time interval database stores the correspondence between the type of food and the tray rotation time interval.

[0052] Optionally, the tray rotation angle is determined according to the type of food, including: matching the tray rotation angle corresponding to the type of food in a preset rotation angle database; the rotation angle database stores the correspondence between the type of food and the tray rotation angle.

[0053] Optionally, determining the rotation angle of the tray includes: acquiring a food image; performing image recognition on the food image to obtain the food volume; and obtaining the rotation angle of the tray based on the food volume.

[0054] Optionally, the tray rotation angle is obtained based on the food volume, including: matching the tray rotation angle corresponding to the food volume in a preset tray rotation angle database, wherein the tray rotation angle database stores the correspondence between food volume and tray rotation angle.

[0055] Optionally, image recognition is performed on the food images to obtain the food volume, including: acquiring food images from multiple angles; determining the region where the food is located from the multi-angle food images and obtaining the shape and outline of the food from that region; extracting feature points of the food from the multi-angle food images based on the region where the food is located, the shape and outline of the food; performing multi-angle stitching processing on the feature points at the same center point to obtain a three-dimensional model data file; and processing the three-dimensional model data file to obtain a three-dimensional model with a 1:1 scale to the actual size of the food. A first plane is selected from the three-dimensional model as a reference plane; the region where the food is located is selected from the three-dimensional model above the reference plane; the volume of the region where the food is located is calculated; and the volume of the region where the food is located is determined as the food volume.

[0056] Optionally, multiple cameras are installed inside the microwave oven to acquire food images at different angles. Optionally, food images at multiple angles are acquired by rotating the tray; that is, the tray is rotated by a preset angle to acquire the food image corresponding to that angle. Optionally, after determining the area where the food is located, the method further includes performing at least one of the following processes on the area where the food is located: contour recognition, flatness detection, and perspective calculation to correct the area where the food is located.

[0057] Optionally, after the tray has rotated for a set period of time, an image of the rotated food is acquired. The rotated food image is then compared with the most recently acquired food image at the same pixel position. If the degree of change in the food is below a preset threshold, the semiconductor cooling device is triggered to stop cooling.

[0058] Optionally, when the semiconductor cooling module is in cooling mode, the user's location and the corresponding duration are obtained; the user's location and the corresponding duration are input into a preset microwave oven heating prediction model to obtain the probability that the user will heat food in the microwave oven; and the microwave oven heating is controlled based on the probability that the user will heat food in the microwave oven. Alternatively, the user's location and the corresponding duration are obtained; the user's location and the corresponding duration are input into a preset microwave oven heating prediction model to obtain the probability that the user will heat food in the microwave oven within a preset time period; and the semiconductor cooling module of the microwave oven is triggered to stop cooling and the microwave oven heating is controlled based on the probability that the user will heat food in the microwave oven.

[0059] Optionally, if the probability of a user heating food in the microwave oven within a preset time period reaches a set threshold, the microwave oven is controlled to heat. Optionally, if the probability of a user heating food in the microwave oven within a preset time period reaches a set threshold, the microwave oven's semiconductor cooling module is triggered to stop cooling and the microwave oven is controlled to heat. Optionally, if the probability of a user heating food in the microwave oven within a preset time period does not reach the set threshold, the microwave oven's semiconductor cooling module is controlled to remain in cooling mode. Optionally, if the probability of a user heating food in the microwave oven within a preset time period does not reach the set threshold, the microwave oven's semiconductor cooling module is controlled to continue cooling and the current of the semiconductor cooling module is increased.

[0060] Optionally, the microwave oven heating prediction model is trained in the following way:

[0061] Training samples are acquired, each including the user's location and the corresponding duration. Each user location carries a label representing the microwave oven's on / off status within a preset time period after the user's location is acquired. Based on these training samples, an initial neural network model is trained to obtain a microwave oven heating prediction model. Optionally, the microwave oven's on / off status is obtained through a microwave oven door opening detection circuit. In some embodiments, the microwave oven's on / off status is either on or off. Obtaining the microwave oven's on / off status through a microwave oven door opening detection circuit is a mature existing technology and will not be elaborated upon here.

[0062] Optionally, the user's location can be obtained through a user positioning device. Optionally, the user positioning device is an infrared human body sensor.

[0063] Optionally, obtaining the user's location through a user positioning device includes: matching the location information corresponding to the user positioning device that detected the user in a preset database, that is, matching the location information corresponding to the user positioning device, which detected the user; and using the location information as the user's location. The database stores the correspondence between user positioning devices and location information. Optionally, the location information is the location of the user positioning device. In some embodiments, the user positioning device detects a human body, which is considered as the user positioning device detecting the user. Optionally, when multiple user positioning devices detect the user, the location information of any one of the user positioning devices is used as the user's location.

[0064] Optionally, after a human body is detected by the infrared human body sensor, the time when the human body is detected by the infrared human body sensor is determined as the first time point, the time after the first time point when the human body is not detected by the infrared human body sensor is determined as the second time point, and the time period between the first time point and the second time point is determined as the duration corresponding to the user's location.

[0065] The advent of microwave ovens has changed people's lifestyles. Users are increasingly accustomed to placing food in microwave ovens that can refrigerate in advance. However, if the microwave oven stops refrigerating and starts heating food after its set time, and the user doesn't remove the heated food promptly, it can easily spoil. The solution described above uses a user positioning device to detect the user's location. A microwave oven heating prediction model, obtained through training samples including the user's location and the corresponding duration, can correlate the user's historical trajectory data with the microwave oven's on / off status. This allows the model to predict the likelihood of the user heating food in the microwave oven within a preset time period based on the user's location and the duration of that location. If the prediction indicates the user will heat food in the microwave oven within the preset time period, the model controls the microwave oven to heat or triggers the semiconductor refrigeration module to stop refrigeration and control the microwave oven to heat, ensuring timely heating of the food and improving the user's microwave oven experience.

[0066] Combination Figure 2 As shown, this disclosure provides an apparatus for controlling a microwave oven, including a processor 100 and a memory 101 storing program instructions. Optionally, the apparatus may further include a communication interface 102 and a bus 103. The processor 100, communication interface 102, and memory 101 can communicate with each other via the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can call the program instructions in the memory 101 to execute the method for controlling a microwave oven described in the above embodiment.

[0067] When food is placed inside the microwave oven, the semiconductor cooling module is triggered to cool and the microwave heating module is stopped. While the semiconductor cooling module is cooling, the tray is triggered to rotate according to the degree of change in the food. This causes the tray to rotate, which in turn causes airflow inside the microwave oven, making the cooling more even and the food cools more evenly.

[0068] Furthermore, the program instructions in the aforementioned memory 101 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0069] The memory 101, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 100 executes functional applications and data processing by running the program instructions / modules stored in the memory 101, that is, it implements the method for controlling the microwave oven in the above embodiments.

[0070] The memory 101 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 101 may include high-speed random access memory and may also include non-volatile memory.

[0071] Using the device for controlling a microwave oven provided in this embodiment, when food is placed inside the microwave oven, the semiconductor cooling module is triggered to cool and the microwave heating module is triggered to stop working. When the semiconductor cooling module is cooling, the tray is triggered to rotate according to the degree of change of the food. In this way, the tray can drive the food on the tray to rotate, causing air flow inside the microwave oven, making the microwave oven cool more evenly and the food cools more evenly.

[0072] This disclosure provides a microwave oven that includes the aforementioned device for controlling the microwave oven. When food is placed inside the microwave oven, the semiconductor cooling module is triggered to cool, and the microwave heating module is triggered to stop working. While the semiconductor cooling module is cooling, the tray is triggered to rotate according to the degree of change in the food. This causes the tray to rotate, resulting in airflow inside the microwave oven, making the cooling more even and the food cools more uniformly.

[0073] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for controlling a microwave oven.

[0074] This disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, cause the computer to perform the above-described method for controlling a microwave oven.

[0075] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0076] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code; it can also be a transient storage medium.

[0077] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0078] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0079] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0080] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling a microwave oven, the microwave oven comprising a semiconductor cooling module, a microwave heating module, and a tray, characterized in that, The method includes: When food is placed in the microwave oven, the semiconductor cooling module is triggered to cool down and the microwave heating module is triggered to stop working. Images of the food inside the microwave oven are acquired at preset time intervals; By comparing the pixels at the same location in two food images acquired at adjacent time points, the number of different pixels at the same location in the two food images is determined as the degree of change in the food. The tray is triggered to rotate based on the degree of change in the food. Triggering the tray to rotate includes: determining the rotation time interval and rotation angle of the tray; triggering the tray to rotate at the rotation angle according to the rotation time interval.

2. The method according to claim 1, characterized in that, The tray is rotated based on the degree of change in the food, including: When the degree of change in the food reaches a preset threshold, the tray is triggered to rotate.

3. The method according to claim 1, characterized in that, Determining the rotation time interval of the tray includes: Image recognition is performed on the image of the food to determine the type of the food; The time interval for rotating the tray is determined based on the type of food.

4. The method according to claim 1, characterized in that, Determining the rotation angle of the tray includes: Image recognition is performed on the image of the food to determine the type of the food; The rotation angle of the tray is determined according to the type of food.

5. The method according to claim 3, characterized in that, Determining the tray rotation time interval based on the type of food includes: The rotation time interval corresponding to the type of food is matched with a preset rotation time interval database; the rotation time interval database stores the correspondence between the types of food and the rotation time intervals.

6. The method according to claim 3, characterized in that, Determining the rotation angle of the tray based on the type of food includes: The rotation angle corresponding to the type of food is matched with a preset rotation angle database; the rotation angle database stores the correspondence between the types of food and the rotation angles.

7. A device for controlling a microwave oven, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to perform, when executing the program instructions, the method for controlling a microwave oven as described in any one of claims 1 to 6.

8. A microwave oven, characterized in that, Includes the device for controlling a microwave oven as described in claim 7.

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