CN114494996A - Food baking method and device, electronic equipment and storage medium - Google Patents
Food baking method and device, electronic equipment and storage medium Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J37/00—Baking; Roasting; Grilling; Frying
- A47J37/06—Roasters; Grills; Sandwich grills
- A47J37/0623—Small-size cooking ovens, i.e. defining an at least partially closed cooking cavity
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J37/00—Baking; Roasting; Grilling; Frying
- A47J37/06—Roasters; Grills; Sandwich grills
- A47J37/0623—Small-size cooking ovens, i.e. defining an at least partially closed cooking cavity
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Abstract
The application relates to a food baking method, a device, electronic equipment and a storage medium, which relate to the technical field of intelligent control, wherein the method comprises the following steps: under the condition of receiving a baking instruction, acquiring picture information in the oven and parameter information of air in the oven; determining the state of food in the oven according to the picture information and the parameter information; and controlling the oven to finish baking according to the state of the food in the oven. By the mode, the state of food in the oven can be automatically determined according to the acquired picture information in the oven and the parameter information of the air in the oven, the state of the food in the oven does not need to be observed manually in real time, so that the automatic baking of the food can be realized, and the intelligent degree of food baking is improved.
Description
Technical Field
The present application relates to the field of intelligent control technologies, and in particular, to a food baking method and apparatus, an electronic device, and a storage medium.
Background
With the ever-increasing standard of living, it is becoming more and more common in people's daily life to use ovens to bake food. At present, when people bake food, people usually need to manually observe the state of the food in the oven in real time, and manually determine whether to continue baking or whether to adjust baking parameter values such as temperature, humidity and the like according to the state of the food. Therefore, the intelligent degree of the existing food baking mode is low, and the automatic baking of the food cannot be realized.
Disclosure of Invention
The application provides a food baking method, a food baking device, electronic equipment and a storage medium, which are used for solving the problems that the existing food baking mode is low in intelligent degree and cannot realize automatic baking of food.
In a first aspect, the present application provides a method of toasting a food item, the method comprising:
under the condition of receiving a baking instruction, acquiring picture information in the oven and parameter information of air in the oven;
determining the state of food in the oven according to the picture information and the parameter information;
and controlling the oven to finish baking according to the state of the food in the oven.
Optionally, the oven includes a gas sensor, a temperature sensor, a humidity sensor, and at least one camera, and the gas sensor, the temperature sensor, the humidity sensor, and the at least one camera are all disposed in the oven;
under the condition of receiving the baking instruction, acquiring picture information in the oven and parameter information of air in the oven, including:
under the condition of receiving a baking instruction, controlling the gas sensor, the temperature sensor, the humidity sensor and the at least one camera to be adjusted to be in an opening state;
acquiring parameter information of air in the oven through the gas sensor, the temperature sensor and/or the humidity sensor, and acquiring picture information in the oven through the at least one camera, wherein the parameter information comprises at least one of particle composition, particle concentration, temperature and humidity of the air in the oven.
Optionally, the determining the state of the food in the oven according to the picture information and the parameter information includes:
inputting the picture information and the parameter information into a pre-trained deep learning model, and determining the state of food in the oven, wherein the pre-trained deep learning model is obtained by training based on training data, and the training data is the picture information marked with the state of the food and/or the parameter information marked with the state of the food.
Optionally, the controlling the oven to finish baking according to the state of the food in the oven includes:
under the condition that a setting instruction of a user is received, analyzing a target state of food expected by the user in the setting instruction, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food to the target state;
under the condition that a setting instruction of a user is not received, obtaining a target state of the food according to the pre-trained deep learning model, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food in the oven to the target state.
Optionally, the oven further comprises a steam generator, wherein the steam generator contains liquid for adjusting the taste of food, and the steam generator is used for evaporating the liquid;
the determining the operating parameters of the oven according to the target state and the state of the food in the oven comprises:
determining the time to be baked and the baking temperature of the food in the oven according to the target state and the state of the food in the oven; and/or the presence of a gas in the gas,
determining an on-time and an off-time of the steam generator according to the target state and a state of food in the oven.
Optionally, after the controlling the oven to finish baking according to the state of the food in the oven, the method further comprises:
marking the picture information and the parameter information according to the state of food in the oven;
and training and updating the pre-trained deep learning model according to the marked picture information and parameter information.
Optionally, the method further comprises:
and sending the state of the food in the oven and the baking stage state to a user terminal so that the user terminal can display the state of the food in the oven and the baking stage state.
In a second aspect, the present application also provides a food cooking device, the device comprising:
the acquisition module is used for acquiring picture information in the oven and parameter information of air in the oven under the condition of receiving the baking instruction;
the determining module is used for determining the state of food in the oven according to the picture information and the parameter information;
and the control module is used for controlling the oven to finish baking according to the state of the food in the oven.
In a third aspect, the present application further provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the food baking method according to any one of the embodiments of the first aspect when executing the program stored in the memory.
In a fourth aspect, the present application further provides a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the food baking method according to any of the embodiments of the first aspect.
In the embodiment of the application, under the condition that the baking instruction is received, the picture information in the oven and the parameter information of the air in the oven are obtained; determining the state of food in the oven according to the picture information and the parameter information; and controlling the oven to finish baking according to the state of the food in the oven. By the mode, the state of food in the oven can be automatically determined according to the acquired picture information in the oven and the parameter information of the air in the oven, the state of the food in the oven does not need to be observed manually in real time, so that the automatic baking of the food can be realized, and the intelligent degree of food baking is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a food baking method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of another food baking method according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a food baking apparatus according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of a food baking method according to an embodiment of the present application. As shown in fig. 1, the food baking method comprises the following steps:
It should be noted that the food baking method provided in the embodiment of the present application may be executed by a controller built in the oven alone, may also be executed by a cloud server connected to the oven alone, may also be executed by a user terminal connected to the oven alone, and may also be executed by the above-mentioned devices in cooperation, which is not limited in this application. For convenience of description, the following embodiments are described by taking the cloud server as an example.
The baking command can be sent by the oven or the user terminal. Specifically, when a user operates a switch button on the oven to start baking food, the oven can generate a baking instruction and send the baking instruction to the cloud server; when a user clicks a virtual key on a user interface of the user terminal to control the oven to start baking food, the user terminal can generate a baking instruction and send the baking instruction to the cloud server. And after receiving the baking instruction, the cloud server starts to monitor the food and the air in the oven. Specifically, the picture in the oven and the parameter of the air in the oven can be acquired in real time or at preset intervals through an acquisition device in the oven, such as a camera, various sensors and the like, so that the picture information in the oven and the parameter information of the air in the oven can be acquired. The picture information here may include picture information of food and picture information of air; the parametric information may include, but is not limited to, air temperature, air humidity, air particle composition, air particle concentration, and the like.
And step 102, determining the state of the food in the oven according to the picture information and the parameter information.
The state of the food in the oven may include one or more of a taste of the food, a flavor of the food, a color of the food, and a mouth feel of the food, and the present application is not particularly limited. In an embodiment, when the cloud server needs to acquire the taste of food, the aroma of food, the color of food and the taste of food, the cloud server can perform preprocessing on picture information, such as filtering processing, fourier series transformation processing, image enhancement processing and the like, and then according to comparative analysis of the picture information acquired at different moments, the change of the color of food can be determined, so that the color state of food can be determined; the concentration of particles in the air can be analyzed according to the blurring degree of the image in the picture, so that the flavor state of the food can be determined. For example, the more blurred the image, the greater the concentration of particles in the air; the sharper the image, the lower the concentration of particles in the air. In an alternative embodiment, the air sensor can be further combined to measure the composition and concentration of particles in the air, so that the analysis result is more accurate. The cloud server can also store and count the parameter information, and determine the change conditions of the temperature and the humidity in the oven in the baking process, so that the taste and the flavor of food are determined, and the state of the food in the oven is obtained.
Certainly, the cloud server can analyze the image information and the parameter information through the image processing capability and the computing capability of the cloud server, input the image information and the parameter information into a pre-trained deep learning model, and predict the current state of food in the oven through the deep learning model.
And 103, controlling the oven to finish baking according to the state of the food in the oven.
After the state of the food in the oven is obtained, the cloud server can judge the state of the food which is liked by the user and is baked according to the learned historical baking data of the user, and the intelligent control oven is used for baking the food to the state. Of course, before or during the baking process, a setting instruction of the user on the state of the baked food can be received, the state of the food which is expected by the user and baked can be determined according to the setting instruction, and the food is baked to the state by intelligently controlling the oven.
In this embodiment, the state of the food in the oven can be automatically determined according to the acquired picture information in the oven and the parameter information of the air in the oven, and the state of the food in the oven does not need to be observed manually in real time, so that the automatic baking of the food can be realized, and the intelligent degree of food baking is improved.
Further, the oven comprises a gas sensor, a temperature sensor, a humidity sensor and at least one camera, wherein the gas sensor, the temperature sensor, the humidity sensor and the at least one camera are all arranged in the oven;
above-mentioned 101, under the condition that receives the instruction of toasting, obtain the parameter information of the picture information in the oven and the air in the oven, include:
under the condition of receiving a baking instruction, controlling a gas sensor, a temperature sensor, a humidity sensor and at least one camera to be adjusted to be in an opening state;
parameter information of air in the oven is obtained through the gas sensor, the temperature sensor and/or the humidity sensor, and picture information in the oven is obtained through the at least one camera, wherein the parameter information comprises at least one of particle components, particle concentration, temperature and humidity of the air in the oven.
Specifically, the gas sensor may be one or more, and may be used to measure the cost and content of a certain type or types of gases in the air. For example, when the gas sensor is used to detect a greater concentration of sulfur-containing compounds (e.g., dimethyl disulfide, dimethyl trisulfide, thiol, thiophene, etc.) and oxygen-and nitrogen-containing heterocyclic compounds (e.g., furan, pyrrole, etc.), it indicates that the meat food is well baked in the oven; when the concentration of acetyl chloride and hydrogen sulfide is detected to be higher by using the gas sensor, the food in the oven is burnt. The temperature sensor can be one or a plurality of temperature sensors and can be used for measuring the temperature value of the air. The humidity sensor can be one or more and can be used for measuring the humidity value of the air. The at least one camera may be one camera or a plurality of cameras, and may be used to obtain picture information of food in the oven and picture information of air in the oven.
In an embodiment, the cloud server can control a gas sensor, a temperature sensor, a humidity sensor and at least one camera on the oven to be adjusted to an on state when receiving the baking instruction; parameter information of air in the oven is obtained through the gas sensor, the temperature sensor and/or the humidity sensor, and picture information in the oven is obtained through the at least one camera. Therefore, the state of the food in the oven can be accurately judged based on the acquired picture information and parameter information so as to obtain the food state preferred by the user through baking, and the situation that the food is excessively cooked or scorched is avoided.
Further, the step 102 of determining the state of the food in the oven according to the picture information and the parameter information includes:
inputting the picture information and the parameter information into a pre-trained deep learning model, and determining the state of food in the oven, wherein the pre-trained deep learning model is obtained by training based on training data, and the training data is the picture information marked with the state of the food and/or the parameter information marked with the state of the food.
In an embodiment, the determination of the state of food within the oven may be accomplished through a deep learning model. Specifically, a Deep learning model to be trained, such as a Convolutional Neural Network (CNN) model, a Deep Belief Network (DBN) model, a Recurrent Neural Network (RNN), a Recurrent Neural Tensor Network (RNTN), an automatic encoder, a Generative countermeasure Network (GAN), etc., may be constructed first, and then the Deep learning model to be trained is trained by combining with massive training data, so as to obtain the above-mentioned pre-trained Deep learning model. It should be noted that in the process of training the model, a large amount of labeled data, such as picture information labeled with food states and/or parameter information labeled with food states, needs to be trained, and the deep learning model directly extracts data features without manually extracting features manually, for example, a convolutional neural network may be used to process multidimensional data, the acquired data is collected to form a data set, and the data set is improved through continuous training. In the use process of the oven, the cloud server can continue to train the deep learning model perfectly according to the new data acquired in real time, so that the baked food obtained by the deep learning model is closer to the requirements of the user, and when the user bakes the food with the same type and taste again, the oven can immediately give feedback, so that the obtained color, aroma and taste information of the food is more accurate.
Further, the step 103 of controlling the oven to finish baking according to the state of the food in the oven includes:
under the condition that a setting instruction of a user is received, analyzing a target state of food expected by the user in the setting instruction, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food to the target state;
under the condition that a setting instruction of a user is not received, the target state of food is obtained according to a pre-trained deep learning model, and the working parameters of the oven are determined according to the target state and the state of the food in the oven and are used for controlling the oven to bake the food in the oven to the target state.
Specifically, the setting instruction may be sent by the oven or sent by the user terminal. Specifically, after a user operates a function setting button on the oven, the oven can generate a setting instruction and send the setting instruction to the cloud server; after the user operates the baking setting menu and the options on the user interface of the user terminal, the user terminal can generate a setting instruction and send the setting instruction to the cloud server. In an embodiment, the baking mode can be determined according to whether the cloud server receives a setting instruction of the user. For example, in the case of receiving a setting instruction of a user, the cloud server may analyze a target state of food expected by the user in the setting instruction, and determine operating parameters of the oven according to the target state and a state of the food in the oven; under the condition that a setting instruction of a user is not received, the cloud server can obtain the target state of food according to a pre-trained deep learning model, and determine the working parameters of the oven according to the target state and the state of the food in the oven. Therefore, the oven can be intelligently controlled according to the deep learning model to enable food to achieve a state of good color, aroma and taste, and the color, aroma and taste of the food can be adjusted in a manually set mode to meet the taste requirements of different users.
Further, the oven also comprises a steam generator, wherein the steam generator is filled with liquid for adjusting the taste of food and is used for evaporating the liquid;
the step of determining the operating parameters of the oven according to the target state and the state of the food in the oven comprises the following steps:
determining the time to be baked and the baking temperature of the food in the oven according to the target state and the state of the food in the oven; and/or the presence of a gas in the atmosphere,
the on-time and off-time of the steam generator are determined according to the target state and the state of the food in the oven.
In one embodiment, the cooking of the food may be accomplished by determining a target state and a state of the food in the oven, determining a time to cook and a cooking temperature of the food in the oven, and/or determining an on time and an off time of the steam generator. Specifically, the differences between the color, the taste and the mouth feel of the food in the oven and the color, the taste and the mouth feel required by an actual user can be determined according to the target state and the state of the food in the oven, so that the time to be baked and the baking temperature are determined; and determining the difference between the taste and the mouthfeel of the food in the oven and the taste and the mouthfeel required by the actual user according to the target state and the state of the food in the oven, thereby determining the on-time and the off-time of the steam generator. For example, when the cloud server acquires the color, the aroma and the taste of food, the real-time data of the food needs to be processed to acquire useful data, the taste of the food is analyzed according to the acquired useful data to determine whether the taste of the food needs to be adjusted, and if the taste of the food needs to be adjusted, the seasoning can be attached to the surface of the food in a manner that a mixture of the seasoning and water is sprayed through a steam generator, so that the purpose of adjusting the taste of the food is achieved. Therefore, if a user wants to change the taste of the food midway, the user terminal can customize the mouth feel and taste of the user in the baking process, the oven can automatically adjust each parameter to bake the food, and the state of the food calculated through deep learning can be stored to provide queryable information for the user.
Further, after controlling the oven to finish baking according to the state of the food in the oven in step 103, the method further includes:
marking the picture information and the parameter information according to the state of food in the oven;
and training and updating the pre-trained deep learning model according to the marked picture information and parameter information.
In an embodiment, the cloud server can mark the acquired picture information and parameter information in the baking process to form new training data, and then continue training the deep learning model based on the new training data, so that the deep learning model can predict the taste of the user more and more accurately and bake the user with needed food.
Further, the method further comprises:
and sending the state of the food in the oven and the baking stage state to the user terminal so that the user terminal can display the state of the food in the oven and the baking stage state.
In an embodiment, the cloud server may send information such as a state of food in the oven and a baking stage state (baking is being performed and baking is completed) to the user terminal, and the user terminal displays the state of the food in the oven and the baking stage state; or the information such as the state of the food in the oven, the baking stage state and the like can be sent to the oven, and the state of the food in the oven and the baking stage state are displayed by a display screen of the oven. Optionally, the cloud server may further display detailed information of the food on the user terminal, such as food pictures, taste and aroma, and the like. When the baking is finished, the cloud server can also send prompt information to the user terminal and the baking oven so as to remind the user of the completion of the baking.
In one embodiment, the flow chart of the food baking method is shown in fig. 2. The food baking method comprises the following steps:
it should be noted that, the steps 201 to 203 may be executed simultaneously with the steps 204 to 206, or may be executed sequentially, and the application is not particularly limited.
The particle concentration can be obtained by a picture and a gas sensor, the particle concentration information can be obtained by identifying the distribution of pixel points in the picture and comparing the distribution with the picture at the beginning of baking, and the concentration and the composition of the particles can be measured by the sensor. Both temperature and humidity may be obtained by a temperature sensor and a humidity sensor. Like this, can acquire the color and luster of food and the temperature and humidity in the oven through camera and microsensor, carry out analysis and calculation with the information of acquireing and obtain the state of current food, feed back these information to the user, the user can set up the look flavor and taste of food according to own hobby, this intelligent level that has just better promoted user experience and oven.
Besides, the embodiment of the application also provides a food baking device. Referring to fig. 3, fig. 3 is a schematic structural diagram of a food baking apparatus according to an embodiment of the present application. As shown in fig. 3, the food roasting apparatus 300 includes:
the obtaining module 301 is configured to obtain picture information in the oven and parameter information of air in the oven under the condition that the baking instruction is received;
a determining module 302, configured to determine a state of food in the oven according to the picture information and the parameter information;
and the control module 303 is used for controlling the oven to finish baking according to the state of the food in the oven.
Optionally, the oven includes a gas sensor, a temperature sensor, a humidity sensor, and at least one camera, and the gas sensor, the temperature sensor, the humidity sensor, and the at least one camera are all disposed in the oven;
the acquisition module 301 includes:
the control submodule is used for controlling the gas sensor, the temperature sensor, the humidity sensor and the at least one camera to be adjusted to be in an opening state under the condition that the baking instruction is received;
the acquisition submodule is used for acquiring parameter information of air in the oven through the gas sensor, the temperature sensor and/or the humidity sensor and acquiring picture information in the oven through the at least one camera, wherein the parameter information comprises at least one of particle components, particle concentration, temperature and humidity of the air in the oven.
Optionally, the determining module 302 includes:
the first determining submodule is used for inputting the picture information and the parameter information into a pre-trained deep learning model and determining the state of food in the oven, wherein the pre-trained deep learning model is obtained by training based on training data, and the training data are picture information marked with the state of the food and/or parameter information marked with the state of the food.
Optionally, the control module 303 is specifically configured to:
under the condition that a setting instruction of a user is received, analyzing a target state of food expected by the user in the setting instruction, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food to the target state;
under the condition that a setting instruction of a user is not received, the target state of food is obtained according to the pre-trained deep learning model, and the working parameters of the oven are determined according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food in the oven to the target state.
Optionally, the oven further comprises a steam generator, wherein the steam generator contains liquid for adjusting the taste of the food, and the steam generator is used for evaporating the liquid;
the control module 303 is further specifically configured to:
determining the time to be baked and the baking temperature of the food in the oven according to the target state and the state of the food in the oven; and/or the presence of a gas in the gas,
the on-time and off-time of the steam generator are determined according to the target state and the state of the food in the oven.
Optionally, the food roasting apparatus 300 further comprises:
the marking module is used for marking the picture information and the parameter information according to the state of food in the oven;
and the updating module is used for training and updating the pre-trained deep learning model according to the marked picture information and the marked parameter information.
Optionally, the food roasting apparatus 300 further comprises:
and the sending module is used for sending the state of the food in the oven and the baking stage state to the user terminal so that the user terminal can display the state of the food in the oven and the baking stage state.
It should be noted that the food baking apparatus 300 can be executed to implement the steps of the food baking method provided by any one of the foregoing method embodiments, and can achieve the same technical effects, which are not described in detail herein.
As shown in fig. 4, an electronic device according to an embodiment of the present application further includes a processor 411, a communication interface 412, a memory 413, and a communication bus 414, where the processor 411, the communication interface 412, and the memory 413 complete mutual communication through the communication bus 414,
a memory 413 for storing a computer program;
in an embodiment of the present application, the processor 411, when configured to execute the program stored in the memory 413, implements the food baking method provided in any of the foregoing method embodiments, including:
under the condition of receiving a baking instruction, acquiring picture information in the oven and parameter information of air in the oven;
determining the state of food in the oven according to the picture information and the parameter information;
and controlling the oven to finish baking according to the state of the food in the oven.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the food baking method provided in any of the foregoing method embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of toasting a food item, the method comprising:
under the condition of receiving a baking instruction, acquiring picture information in the oven and parameter information of air in the oven;
determining the state of food in the oven according to the picture information and the parameter information;
and controlling the oven to finish baking according to the state of the food in the oven.
2. The method of claim 1, wherein the oven comprises a gas sensor, a temperature sensor, a humidity sensor, and at least one camera, the gas sensor, the temperature sensor, the humidity sensor, and the at least one camera all disposed within the oven;
under the condition that the baking instruction is received, acquiring picture information in the oven and parameter information of air in the oven, and the method comprises the following steps:
under the condition of receiving a baking instruction, controlling the gas sensor, the temperature sensor, the humidity sensor and the at least one camera to be adjusted to be in an opening state;
acquiring parameter information of air in the oven through the gas sensor, the temperature sensor and/or the humidity sensor, and acquiring picture information in the oven through the at least one camera, wherein the parameter information comprises at least one of particle composition, particle concentration, temperature and humidity of the air in the oven.
3. The method of claim 1, wherein said determining the status of food within the oven based on the graphical information and the parameter information comprises:
inputting the picture information and the parameter information into a pre-trained deep learning model, and determining the state of food in the oven, wherein the pre-trained deep learning model is obtained by training based on training data, and the training data is the picture information marked with the state of the food and/or the parameter information marked with the state of the food.
4. The method of claim 3, wherein said controlling the oven to complete cooking based on the status of food in the oven comprises:
under the condition that a setting instruction of a user is received, analyzing a target state of food expected by the user in the setting instruction, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food to the target state;
under the condition that a setting instruction of a user is not received, obtaining a target state of the food according to the pre-trained deep learning model, and determining working parameters of the oven according to the target state and the state of the food in the oven, wherein the working parameters are used for controlling the oven to bake the food in the oven to the target state.
5. The method of claim 4, wherein the oven further comprises a steam generator containing a liquid for adjusting the taste of the food, the steam generator for evaporating the liquid;
the determining the operating parameters of the oven according to the target state and the state of the food in the oven comprises:
determining the time to be baked and the baking temperature of the food in the oven according to the target state and the state of the food in the oven; and/or the presence of a gas in the gas,
determining an on-time and an off-time of the steam generator according to the target state and a state of food in the oven.
6. The method of claim 3, wherein after the controlling the oven to finish cooking according to the state of the food in the oven, the method further comprises:
marking the picture information and the parameter information according to the state of food in the oven;
and training and updating the pre-trained deep learning model according to the marked picture information and parameter information.
7. The method of claim 1, further comprising:
and sending the state of the food in the oven and the baking stage state to a user terminal so that the user terminal can display the state of the food in the oven and the baking stage state.
8. A food cooking device, characterized in that said device comprises:
the acquisition module is used for acquiring picture information in the oven and parameter information of air in the oven under the condition of receiving the baking instruction;
the determining module is used for determining the state of food in the oven according to the picture information and the parameter information;
and the control module is used for controlling the oven to finish baking according to the state of the food in the oven.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the food baking method according to any one of claims 1 to 7 when executing the program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of a food baking method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210016011.3A CN114494996A (en) | 2022-01-07 | 2022-01-07 | Food baking method and device, electronic equipment and storage medium |
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| CN202210016011.3A CN114494996A (en) | 2022-01-07 | 2022-01-07 | Food baking method and device, electronic equipment and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615153A (en) * | 2022-08-09 | 2023-01-17 | 珠海格力电器股份有限公司 | Drying system control method and device and drying system |
| CN116941644A (en) * | 2023-08-02 | 2023-10-27 | 广州市赛思达机械设备有限公司 | Rotary hot blast stove and baking control method for rotary hot blast stove |
| CN117590769A (en) * | 2023-12-11 | 2024-02-23 | 广州市赛思达机械设备有限公司 | Intelligent control method, system, equipment and storage medium for oven |
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2022
- 2022-01-07 CN CN202210016011.3A patent/CN114494996A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615153A (en) * | 2022-08-09 | 2023-01-17 | 珠海格力电器股份有限公司 | Drying system control method and device and drying system |
| CN116941644A (en) * | 2023-08-02 | 2023-10-27 | 广州市赛思达机械设备有限公司 | Rotary hot blast stove and baking control method for rotary hot blast stove |
| CN117590769A (en) * | 2023-12-11 | 2024-02-23 | 广州市赛思达机械设备有限公司 | Intelligent control method, system, equipment and storage medium for oven |
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