Food material temperature control method and device in cooking equipment and cooking equipment

Abstract

The invention discloses a food material temperature control method in cooking equipment, and the method comprises the steps: obtaining the heating power and the heating time in response to the operation of a user on the cooking equipment, and controlling the cooking equipment to cook at the heating power and the heating time; food materials in the cooking equipment within the heating time are shot respectively, RGB images and infrared images of the food materials are obtained, and the current food material temperature of the food materials is obtained according to the RGB images and the infrared images; and comparing the current food material temperature with a food material set temperature set in the recipe, and adjusting the heating power according to a comparison result. The invention further discloses a food material temperature control device in the cooking equipment and the cooking equipment. According to the embodiment of the invention, the food materials in the cooking equipment within the heating time can be shot to obtain the RGB image and the infrared image of the food materials, the current food material temperature of the food materials is obtained according to the RGB image and the infrared image, then the current food material temperature is compared with the food material set temperature set in the recipe, and the heating power is adjusted according to the comparison result. Therefore, the temperature of the food materials can be controlled more accurately.

Description

Technical Field

[0001] The present application relates to the field of cooking technology, and in particular to a method and device for controlling the temperature of food in a cooking device and a cooking device. Background Art

[0002] Based on the preset smart menu, the power of the cooking equipment can be intelligently adjusted by detecting the user's ingredients and cooking mode, and the cooking temperature can be controlled to achieve the purpose of smart cooking. For the cooked dishes, in order to achieve higher nutritional value or better taste, there are high requirements for the temperature of the ingredients themselves after heating. However, it is generally difficult for existing cooking equipment to control the temperature of the ingredients during cooking. Summary of the invention

[0003] The present application provides a method and device for controlling the temperature of food in a cooking device and a cooking device.

[0004] According to a first aspect of the present application, the present application provides a method for controlling the temperature of food in a cooking device, comprising:

[0005] In response to a user's operation on the cooking device, a heating power and a heating time are acquired, and the cooking device is controlled to cook with the heating power and the heating time;

[0006] photographing the food in the cooking device during the heating time respectively to obtain an RGB image and an infrared image of the food, and obtaining a current food temperature of the food according to the RGB image and the infrared image;

[0007] The current food temperature is compared with the food setting temperature set in the recipe, and the heating power is adjusted according to the comparison result.

[0008] In the method involved in the present application, the comparing the current food temperature with the food set temperature set in the recipe, and adjusting the heating power according to the comparison result, includes:

[0009] When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is greater than a preset difference, the heating power is increased for heating within a preset time;

[0010] When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is equal to the preset difference, heating is continued at the heating power during the heating time;

[0011] When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is less than the preset difference, the heating power is reduced for heating within a preset time.

[0012] In the method involved in this application, the step of obtaining the heating power includes:

[0013] Obtaining a ratio of a set temperature to a maximum set temperature of the cooking device;

[0014] The heating power is determined according to the ratio, the power factor and the rated power of the cooking device.

[0015] In the method involved in the present application, the cooking device includes a heating component and a fan, and the step of controlling the cooking device to operate at the heating power includes:

[0016] The power of the heating element and / or the fan is adjusted so that the cooking device operates at the heating power.

[0017] In the method involved in the present application, the step of adjusting the power of the heating component and / or the fan includes:

[0018] Obtaining the heating power of the heating component and the rotation speed of the fan;

[0019] The component to be adjusted is determined according to the heating power and the rotation speed, and the power of the component to be adjusted. The component to be adjusted is the heating component and / or the fan.

[0020] In the method involved in the present application, the steps of photographing the food in the cooking device during the heating time to obtain an RGB image and an infrared image of the food, and obtaining the current food temperature of the food according to the RGB image and the infrared image include:

[0021] Collecting the RGB image of the food in the cooking device through an RGB camera;

[0022] Using a deep convolutional neural network model to obtain the type, shape, size and location information of the food from the RGB image;

[0023] Collecting temperature information of multiple points on the food in the cooking device by the infrared sensor;

[0024] Obtaining multiple point temperatures corresponding to the food by calculation;

[0025] The accurate temperature of the food is obtained through corresponding multi-point temperature fitting.

[0026] In the method involved in the present application, the method of using a deep convolutional neural network model to obtain the type, shape, size and location information of the food from the RGB image includes:

[0027] Acquire or collect a large number of RGB images of the food, and calibrate the type, shape, size and position of the food;

[0028] Use the calibrated data to train a deep convolutional neural network model;

[0029] The newly collected RGB image of the food is input into a deep convolutional neural network model to obtain the type, shape, size and location information of the food.

[0030] According to a second aspect of the present application, the present application provides a food temperature control device in a cooking device, comprising:

[0031] A control module, configured to obtain a heating power and a heating time in response to a user's operation on the cooking device, and control the cooking device to cook with the heating power and the heating time;

[0032] a shooting module, used to shoot the food in the cooking device during the heating time, obtain an RGB image and an infrared image of the food, and obtain the current food temperature of the food according to the RGB image and the infrared image;

[0033] The processing module is used to compare the current food temperature with the food set temperature set in the recipe, and adjust the heating power according to the comparison result.

[0034] According to a third aspect of the present application, the present application provides a cooking device, comprising: a memory, a processor, and a temperature control program stored in the memory and executable on the processor, wherein the temperature control program, when executed by the processor, implements the steps of the food temperature control method in the cooking device as described above.

[0035] According to a fourth aspect of the present application, the present application provides a storage medium having a temperature control program stored thereon, and when the temperature control program is executed by a processor, the steps of the food temperature control method in a cooking device as described above are implemented.

[0036] Due to the adoption of the above technical solution, the beneficial effects of this application are:

[0037] The method for controlling the temperature of food in a cooking device provided in an embodiment of the present application includes: in response to the user's operation of the cooking device, obtaining the heating power and heating time, and controlling the cooking device to cook with the heating power and heating time; photographing the food in the cooking device during the heating time, respectively, obtaining the RGB image and infrared image of the food, and obtaining the current food temperature of the food according to the RGB image and the infrared image; comparing the current food temperature with the food setting temperature set in the recipe, and adjusting the heating power according to the comparison result. Due to the embodiment of the present application, the food in the cooking device during the heating time can be photographed to obtain the RGB image and infrared image of the food, and the current food temperature of the food can be obtained according to the RGB image and the infrared image, and then the current food temperature can be compared with the food setting temperature set in the recipe, and the heating power can be adjusted according to the comparison result, so as to more accurately control the temperature of the food. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flowchart of a method provided in an embodiment of the present application in one implementation manner;

[0039] Figure 2 A flowchart of another implementation of the method provided in an embodiment of the present application;

[0040] Figure 3 A schematic diagram of a program module of an apparatus provided in an embodiment of the present application in one implementation manner; DETAILED DESCRIPTION

[0041] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present application are not shown or described in the specification, this is to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0042] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0043] The serial numbers assigned to the components in this article, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning.

[0044] In addition, the technical features and technical solutions described herein may be combined in any suitable manner in one or more embodiments. It is easy for a person skilled in the art to understand that the steps or operation sequence of the methods related to the embodiments provided herein may also be changed. Therefore, any sequence in the drawings and embodiments is only for illustrative purposes and does not imply a requirement to follow a certain sequence unless it is explicitly stated that a certain sequence is required.

[0045] The cooking device involved in this application may be a cooking robot

[0046] like Figure 1 As shown, the method for controlling the temperature of food in a cooking device provided in an embodiment of the present application, one implementation manner thereof, comprises the following steps:

[0047] Step 101: In response to a user's operation on a cooking device, a heating power and a heating time are acquired, and the cooking device is controlled to cook with the heating power and the heating time.

[0048] Step 102: photograph the food in the cooking device during the heating time to obtain an RGB image and an infrared image of the food, and obtain the current temperature of the food according to the RGB image and the infrared image.

[0049] Step 103: Compare the current food temperature with the food set temperature set in the recipe, and adjust the heating power according to the comparison result.

[0050] In one implementation, step 103 may specifically include the following steps:

[0051] When the comparison result shows that the difference between the set temperature of the food and the current temperature of the food is greater than the preset difference, the heating power is increased for heating within the first preset time;

[0052] When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is equal to the preset difference, heating is continued at the heating power within the heating time;

[0053] When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is less than the preset difference, the heating power is reduced for heating within the second preset time.

[0054] Among them, the first preset time for heating with increasing heating power is an empirical value, usually set to 1-5 seconds, and the second preset time for heating with decreasing heating power is also an empirical value, usually set to 1-5 seconds.

[0055] In step 101, the step of obtaining the heating power may include:

[0056] Obtaining a ratio of a set temperature to a maximum set temperature of a cooking device;

[0057] The heating power is determined based on the ratio, power factor and rated power of the cooking equipment.

[0058] In one embodiment, the cooking device may include a heating component and a fan, and the step of controlling the cooking device to operate at a heating power includes:

[0059] The power of the heating element and / or the fan is adjusted so that the cooking device operates at heating power.

[0060] The step of adjusting the power of the heating component and / or the fan includes:

[0061] Obtain the heating power of the heating component and the speed of the fan;

[0062] The components to be adjusted are determined according to the heating power and the rotation speed, and the power of the components to be adjusted. The components to be adjusted are the heating components and / or the fan.

[0063] like Figure 2 As shown, step 102 may specifically include the following steps:

[0064] Step 1021: Collect RGB images of ingredients in the cooking device through an RGB camera.

[0065] Step 1022: Use a deep convolutional neural network model to obtain the type, shape, size and location information of the food from the RGB image.

[0066] Step 1023: collecting temperature information of multiple points on the food in the cooking device through an infrared sensor;

[0067] Step 1024: obtaining the multi-point temperatures corresponding to the food through calculation;

[0068] Step 1025: Obtain the accurate temperature of the food through corresponding multi-point temperature fitting.

[0069] In one implementation, step 1022 may specifically include the following steps:

[0070] Collect or collect a large number of RGB images of food ingredients and calibrate the type, shape, size and position of the food ingredients;

[0071] Use the calibrated data to train a deep convolutional neural network model;

[0072] The RGB images of the newly collected ingredients are input into the deep convolutional neural network model to obtain the type, shape, size and location information of the ingredients.

[0073] like Figure 3 As shown, an implementation manner of a food temperature control device in a cooking device provided in an embodiment of the present application includes a control module 310, a shooting module 320 and a processing module 330.

[0074] The control module 310 is used to obtain the heating power and heating time in response to the user's operation on the cooking device, and control the cooking device to cook with the heating power and heating time;

[0075] The shooting module 320 is used to shoot the food in the cooking device during the heating time, obtain the RGB image and the infrared image of the food, and obtain the current food temperature of the food according to the RGB image and the infrared image;

[0076] The processing module 330 is used to compare the current food temperature with the food setting temperature set in the recipe, and adjust the heating power according to the comparison result.

[0077] An embodiment of the present application also provides a cooking device, which may include a memory, a processor, and a temperature control program stored in the memory and executable on the processor. When the temperature control program is executed by the processor, the steps of the food temperature control method in the cooking device as described above are implemented.

[0078] An embodiment of the present application further provides a storage medium having a temperature control program stored thereon. When the temperature control program is executed by a processor, the steps of the food temperature control method in a cooking device as described above are implemented.

[0079] Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which may include: a read-only memory, a random access memory, a disk or an optical disk, etc.

[0080] The above contents are further detailed descriptions of the present application in combination with specific implementation methods, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, several simple deductions or substitutions can be made without departing from the concept of the present application.

Claims

1. A method for controlling the temperature of food in a cooking device, characterized in that: include: In response to a user's operation on the cooking device, a heating power and a heating time are acquired, and the cooking device is controlled to cook with the heating power and the heating time; photographing the food in the cooking device during the heating time respectively to obtain an RGB image and an infrared image of the food, and obtaining a current food temperature of the food according to the RGB image and the infrared image; The current food temperature is compared with the food setting temperature set in the recipe, and the heating power is adjusted according to the comparison result.

2. The method according to claim 1, characterized in that The comparing the current food temperature with the food setting temperature set in the recipe, and adjusting the heating power according to the comparison result, comprises: When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is greater than a preset difference, the heating power is increased for heating within a preset time; When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is equal to the preset difference, heating is continued at the heating power during the heating time; When the comparison result is that the difference between the set temperature of the food and the current temperature of the food is less than the preset difference, the heating power is reduced for heating within a preset time.

3. The method according to claim 1, characterized in that The step of obtaining the heating power comprises: Obtaining a ratio of a set temperature to a maximum set temperature of the cooking device; The heating power is determined according to the ratio, the power factor and the rated power of the cooking device.

4. The method according to claim 1, characterized in that The cooking device comprises a heating component and a fan, and the step of controlling the cooking device to operate at the heating power comprises: The power of the heating element and / or the fan is adjusted so that the cooking device operates at the heating power.

5. The method according to claim 4, characterized in that The step of adjusting the power of the heating component and / or the fan comprises: Obtaining the heating power of the heating component and the rotation speed of the fan; The component to be adjusted is determined according to the heating power and the rotation speed, and the power of the component to be adjusted. The component to be adjusted is the heating component and / or the fan.

6. The method according to any one of claims 1 to 5, characterized in that The steps of photographing the food in the cooking device during the heating time to obtain an RGB image and an infrared image of the food, and acquiring the current temperature of the food according to the RGB image and the infrared image include: Collecting the RGB image of the food in the cooking device through an RGB camera; Using a deep convolutional neural network model to obtain the type, shape, size and location information of the food from the RGB image; Collecting temperature information of multiple points on the food in the cooking device by the infrared sensor; Obtaining multiple point temperatures corresponding to the food by calculation; The accurate temperature of the food is obtained through corresponding multi-point temperature fitting.

7. The method according to claim 6, characterized in that The method of using a deep convolutional neural network model to obtain the type, shape, size and location information of the food from the RGB image includes: Acquire or collect a large number of RGB images of the food, and calibrate the type, shape, size and position of the food; Use the calibrated data to train a deep convolutional neural network model; The newly collected RGB image of the food is input into a deep convolutional neural network model to obtain the type, shape, size and location information of the food.

8. A food temperature control device in a cooking device, characterized in that: include: A control module, configured to obtain a heating power and a heating time in response to a user's operation on the cooking device, and control the cooking device to cook with the heating power and the heating time; a shooting module, used to shoot the food in the cooking device during the heating time, obtain an RGB image and an infrared image of the food, and obtain the current food temperature of the food according to the RGB image and the infrared image; The processing module is used to compare the current food temperature with the food set temperature set in the recipe, and adjust the heating power according to the comparison result.

9. A cooking device, characterized in that: The cooking device comprises: a memory, a processor, and a temperature control program stored in the memory and executable on the processor. When the temperature control program is executed by the processor, the steps of the food temperature control method in the cooking device as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a temperature control program, and when the temperature control program is executed by the processor, the steps of the method for controlling the temperature of food in a cooking device according to any one of claims 1 to 7 are implemented.

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