WO2020125475A1 - Auxiliary cooking method, household appliance, and computer storage medium - Google Patents

Abstract

An auxiliary cooking method, a household appliance (100), and a computer storage medium (200). The auxiliary cooking method comprises: monitoring a cooking scene to obtain cooking information of a user (S101); performing matching between the cooking information of the user and preset menu data to generate a cooking suggestion (S102); and presenting the cooking suggestion (S103). According to the auxiliary cooking method, intelligent auxiliary cooking is carried out on the information of the cooking scene.

Description

Auxiliary cooking method, home appliance and computer storage medium

This application requires the priority of the Chinese patent application filed on December 19, 2018 with the application number 2018115577804 and the invention titled "Assisted Cooking Methods, Home Appliances, and Computer Storage Media", which is fully incorporated by reference into this application.

【Technical field】

The present application relates to the field of smart home appliances, in particular to an auxiliary cooking method, home appliance equipment and computer storage media.

【Background technique】

Today, home appliances are becoming more and more intelligent. Smart home appliances are widely used in people's lives. For example, smart home appliances can be equipped with functions to assist users in cooking. However, the current cooking assistance methods are only Smart home appliances can provide users with a fixed-format viewable recipe text, play a fixed-format cooking video, or broadcast a fixed-format cooking step. It is impossible to provide intelligent cooking guidance for information on the cooking site.

[Invention content]

The present application provides an auxiliary cooking method, a home appliance, and a computer storage medium to solve the problem that the existing auxiliary cooking method cannot implement intelligent cooking guidance for information on the cooking site.

In order to solve the above technical problems, the present application provides an auxiliary cooking method, which includes: monitoring a cooking site to obtain user cooking information; matching user cooking information and preset recipe data to generate cooking suggestions; and presenting cooking suggestions.

In order to solve the above technical problems, the present application provides a household electrical appliance, which includes a processor and a memory, and a computer program is stored in the memory, and the processor is used to execute the computer program to implement the steps of the above-mentioned auxiliary cooking method.

To solve the above technical problems, the present application provides a computer storage medium in which a computer program is stored, and when the computer program is executed, the steps of the above-mentioned auxiliary cooking method are realized.

In the assisted cooking method of the present application, the cooking site is monitored to obtain the user's cooking information, and the user's cooking information is matched with the recipe data to generate cooking suggestions, and then the cooking suggestions are presented. Through the method of the present application, cooking suggestions can be given based on the cooking information of the user on the cooking site to achieve more intelligent cooking assistance and truly guide the user in the cooking process.

[Description of the drawings]

FIG. 1 is a schematic flowchart of a first embodiment of an assisted cooking method of the present application;

2 is a schematic flowchart of a second embodiment of an assisted cooking method of the present application;

3 is a schematic flowchart of a third embodiment of an assisted cooking method of the present application;

4 is a schematic flowchart of a fourth embodiment of an assisted cooking method of the present application;

5 is a schematic structural diagram of an embodiment of a home appliance device of the present application;

6 is a schematic structural diagram of an embodiment of a computer storage medium of the present application.

【detailed description】

In order to enable those skilled in the art to better understand the technical solutions of the present invention, an auxiliary cooking method, home appliance, and computer storage medium provided by the present application will be described in further detail with reference to the accompanying drawings and specific implementations.

What the assisted cooking method of the present application realizes is to promptly guide the user's cooking process in the cooking process, and the effect achieved is similar to the situation in which a cooking expert guides cooking on the spot, that is, real intelligence is realized Cooking assistance. This application emphasizes timeliness and pertinence, and is different from the current auxiliary method of pre-demonstrating the cooking process, which can give cooking suggestions according to the user's cooking situation at any time to assist the user in the entire cooking process. It is particularly suitable for the cooking process of Chinese dishes, such as the quick-fry cooking process, which requires high timeliness of cooking assistance. This application can provide real-time cooking suggestions.

Please refer to FIG. 1 for the process of implementing the auxiliary cooking. FIG. 1 is a schematic flowchart of the first embodiment of the auxiliary cooking method of the present application. The auxiliary cooking method of this embodiment includes the following steps.

S101: Monitor the cooking scene to obtain user cooking information.

What this embodiment implements is targeted cooking assistance in the cooking process, so the cooking site is first monitored, that is, when the user is cooking, the user, dishes, cookware, etc. in the cooking site are monitored to know the cooking situation, Therefore, different cooking suggestions should be given for different cooking situations.

In this step S101, the cooking site is monitored by the opened monitoring device. The monitoring device may be an input device microphone, camera, sensor, etc. Correspondingly, the microphone can monitor the voice of the cooking site, the camera can monitor the image of the cooking site, the sensor can The temperature sensor and the odor sensor can detect the temperature or smell of the dishes on the cooking site.

In this step S101, a monitoring device is used to monitor the cooking site, and the user's cooking information can be further obtained. The user's cooking information indicates the user's voice at the cooking site and relates to the user's cooking related inquiry; the cooking image relates to the current cooking state; Information related to the current dish status. According to these user cooking information, auxiliary cooking can be carried out in a targeted manner.

S102: Match user cooking information and preset recipe data to generate cooking suggestions.

After obtaining the user's cooking information, the user's cooking information is matched with the preset recipe data, thereby generating cooking suggestions for the user's cooking information. The process of this step S102 is specifically: determining a data tag related to the user's cooking information in the recipe data, and generating a cooking suggestion according to the data identified by the determined data tag.

The recipe data in this embodiment is preset, and multiple data tags are included in the recipe data to match user cooking information. Further, in order to be able to match various types of user cooking information, multi-dimensional data labels are also set in the recipe data to support the matching of various types of user cooking information and the generation of related cooking suggestions.

Specifically, first, the data labels in the recipe data may include step labels, raw material labels, action labels, control labels, and the like. Among them, the data identified by the step label can be the specific content of the cooking step, the data identified by the raw material label can be the amount of specific ingredients, the data identified by the action label can be the specific requirements of the cooking action, and the data identified by the control label can be The controlled fire is waiting.

Taking the recipe of fish-flavored pork shreds as an example, the recipe is as follows.

Raw materials: 300g pork, 100g water magnolia slices, 100g water fungus, pickled pepper, ginger, green onion, garlic, soy sauce, balsamic vinegar, wine, starch, salt, sugar, broth;

step:

The first step: pork, magnolia slices, shredded fungus;

Step 2: Shred the pork, magnolia slices and fungus in a bowl, add salt, wine and wet starch and mix well;

The third step: finely chopped pickled pepper, mix with sugar, balsamic vinegar, soy sauce, starch, broth into sweet and sour sauce;

The fourth step: Place the wok on the fire, heat it for 1 minute, the oil is burned to 60% heat;

Step 5: Add the well-mixed pork, magnolia slices and wood ears, stir fry for 1 minute;

Step 6: Add ginger, spring onion, garlic and stir fry, stir fry;

Step 7: Add sweet and sour sauce, stir-fry for 2 minutes, and turn it over a few times.

Corresponding to the above recipes, the step label in the preset recipe data can be "first step", etc., the corresponding "first step" identifies the data as "pork, magnolia slices, shredded fungus"; the raw material label can be " "Pork", the marked data is "300g"; the action label can be "fried", the marked data is "1 minute"; the control label can be "Fire", and the marked data is "Wang Huo" ".

In this embodiment, the recipe data is refined and identified by data tags; therefore, the data tags and the user's cooking information can be compared to determine the relevant data tags, that is, the relevant data; and then cooking suggestions can be generated based on the relevant data. Take the above fish-flavored shredded meat recipe data as an example to illustrate the generation of cooking suggestions.

For example, if the user's cooking information is the user's voice and the user's voice is "how to cut pork?", then the corresponding action label "cut pork" and the data "cutting" identified by the action label can be found, and then the user voice can be targeted. Generate cooking suggestions "shredded". For other types of user cooking information, cooking suggestions are generated based on the same process.

The preset recipe data in this embodiment may be not only the above text recipe data but also video recipe data. For text recipe data and video recipe data belonging to the same recipe, the same data label may be used, and the data label is in the video recipe data The one identified in can be a video segment.

In this step, the generated cooking suggestion may be based on textual recipe data or video recipe data. For example, for the case where the above user cooking information is "how to cut pork?", the generated cooking suggestion may be cutting pork Silk video segment.

S103: Present cooking suggestions.

After the cooking suggestion is generated, the cooking suggestion needs to be presented to the user to assist the user in cooking. The presentation method may be voice broadcast cooking suggestions or video display cooking suggestions, wherein the voice broadcast cooking suggestions are mainly based on text recipe data, and the video display cooking suggestions are mainly based on video recipe data.

In this embodiment, the cooking site is monitored, and then the user's cooking information is obtained, real-time auxiliary cooking can be realized, the user's cooking information is matched with the preset recipe data, thereby generating cooking suggestions, and presenting the cooking suggestions for the monitored The user's cooking information assists the user in cooking.

In the actual cooking process, intelligent voice interaction with the user can be implemented to assist the user in cooking. For example, during the user's cooking process, voice-related inquiries can be issued at any time. For this application, the user's voice is monitored After that, you can respond to the user's voice and give cooking suggestions.

Please refer to FIG. 2 for details. FIG. 2 is a schematic flowchart of a second embodiment of the auxiliary cooking method of the present application. The auxiliary cooking method of this embodiment includes the following steps.

S201: Monitor the cooking scene to obtain user voice.

This embodiment is based on the embodiment shown in FIG. 1, that is, the content of the embodiment shown in FIG. 1 can be applied to this embodiment. In addition, this embodiment responds to cooking suggestions for the user voice of the cooking site, and monitors in this step S201 The sound of the cooking scene, and then obtain the user's voice.

Since the noise problem cannot be avoided during the cooking process, in this step S201, the acquired user voice can be enhanced, which can be implemented in hardware or software. To obtain user voice with enhanced quality, for example, after obtaining the user voice through a general microphone, a software enhancement method is used to process the user voice, thereby enhancing the quality of the user voice.

S202: Analyze user voice to obtain cooking intentions.

In the above step S201, the user voice acquired by monitoring the cooking site is audio data, and the audio data needs to be processed to semantically understand the user voice to obtain the intention expressed by the user voice. In this embodiment, the cooking intention is obtained. .

Specifically, in this embodiment, the user's voice is understood based on natural language understanding technology to obtain cooking intentions. First, perform speech recognition (Automatic Speech Recognition, ASR) on the user's speech to obtain speech text information, and then semantically understand the speech text information (Natural Language Understanding, NLU) to learn the cooking intention.

Taking the example in the embodiment shown in FIG. 1, if the user's voice is "how to cut pork?", it is first converted into the text "how to cut pork" through ASR, and then the cooking intention is learned through NLU to want to know how to cut pork.

S203: Match cooking intention and recipe data to generate cooking suggestions.

After the user's voice is analyzed and the cooking intention is known, the cooking intention can be matched with the recipe data to generate cooking suggestions. The matching process is similar to that in the embodiment shown in FIG. 1, and details are not repeated here.

S204: Present cooking suggestions.

After the cooking suggestion is generated, the cooking suggestion can be presented. The manner of voice broadcast of the cooking suggestion also involves the process of language generation (Natural Language Generation, NLG) and voice broadcast (Text to Speech, TTS). That is, after understanding the cooking intentions and generating cooking suggestions, it is also necessary to generate language texts imitating human expressions based on the cooking suggestions, and convert the language texts into speech for broadcasting to answer the user's voice.

This embodiment can promptly answer the user's voice query during cooking, thereby assisting the user in cooking. For the embodiment shown in FIG. 2, it is applicable to a case where the user voice can determine corresponding specific data in the recipe data to generate cooking suggestions. For cases where specific data cannot be determined, the embodiment shown in FIG. 3 is used to implement assisted cooking, for example, when the user asks “what to do next”, although the user’s cooking intention can be recognized as wanting to know the next cooking step , But the user has not provided the current cooking status, that is, it is not sure which cooking step is currently in, and therefore cannot give advice on the next cooking step.

FIG. 3 is a schematic flowchart of a third embodiment of the assisted cooking method of the present application. The assisted cooking method of this embodiment includes the following steps.

S301: Monitor the cooking scene to obtain user voice.

S302: Analyze the user's voice to obtain cooking intentions.

This embodiment is based on the embodiments shown in FIG. 1 and FIG. 2, and the specific content of steps S301-S302 is similar to steps S201-S202, and the details are not repeated here.

S303: Acquire cooking images at the cooking scene.

After the cooking intention is acquired, the cooking intention can be matched with the recipe data first. If the matching is not possible, the cooking image of the cooking scene is actively acquired to determine the current cooking situation, so that the cooking recommendation can be given in time according to the current cooking situation. The method adopted in this embodiment is to actively obtain the cooking situation of the cooking site, rather than confirming the cooking situation with the user through querying when the match cannot be obtained. Compared with querying the user, the method adopted in this embodiment is more Humanization and intelligence.

S304: Analyze the cooking image to obtain the cooking state.

In this embodiment, the way to obtain the cooking situation of the cooking scene is to obtain the cooking image. The current cooking situation is obtained by recognizing the image of the cooking scene, that is, the cooking image is analyzed to obtain the cooking status.

In step S303, a plurality of multi-directional cooking images can be obtained. In step S304, the multiple cooking images are identified, so that the cooking state can be obtained as accurately as possible.

S305: Match cooking intention, cooking state and recipe data to generate cooking suggestions.

After obtaining the current cooking state, the cooking intention, the cooking state and the recipe data are matched to generate a cooking suggestion, that is, the data label in the recipe data is determined according to the cooking intention and the cooking state, that is, the relevant data is determined, and the determined relevant data is determined You can generate cooking suggestions.

Taking the recipe data in FIG. 1 as an example, the user voice acquired in step S301 of this embodiment is "What next?" According to the user voice, the step label cannot be determined, so the cooking image in step S303 needs to be acquired.

In step S304, the obtained cooking image is identified to determine the current cooking state. For example, if the cooking image shows that the user is mixing shredded pork, magnolia slices, and auricularia, the current cooking state can be determined according to the cooking image The second step.

In step S305, the step label can be determined based on the current cooking state and cooking intention. Based on the above case, the determined step label is "third step", and then the data "bubble" can be identified according to the step label "third step". Chop the finely chopped pepper, and mix it with sugar, balsamic vinegar, soy sauce, starch, and broth to make sweet and sour sauce."

S306: Present cooking suggestions.

After giving the cooking suggestions, present the cooking suggestions. Based on the above case, you can broadcast the voice "Chop the pickled peppers finely and mix them with sugar, balsamic vinegar, soy sauce, starch, and broth to make sweet and sour sauce", or you can directly Play the cooking video of this third step.

In this embodiment, when the user's voice cannot clearly give cooking suggestions, the cooking image of the cooking scene is actively obtained to further confirm the user's cooking intentions according to the current cooking state, and then to give clear cooking suggestions. This embodiment can respond to more user voice queries, make cooking assistance more intelligent, and improve user experience.

In addition to assisting cooking by user's voice inquiry, this application can also actively perform cooking assistance according to the situation on the cooking site. Please refer to FIG. 4 for details. FIG. 4 is a schematic flowchart of a fourth embodiment of the auxiliary cooking method of the present application. The auxiliary cooking method of this embodiment includes the following steps.

S401: Monitor the cooking scene to obtain cooking images.

This embodiment is based on the embodiment shown in FIG. 1, that is, the content of the embodiment shown in FIG. 1 can be applied to this embodiment. In this embodiment, the cooking situation at the cooking site is monitored, and cooking suggestions are actively given. In this step S401, the cooking image of the cooking scene is acquired to know the cooking situation.

In this step S401, a cooking image is obtained, and generally a camera is used for shooting, and multiple images can be periodically taken, or continuous images and video shooting can also be taken. For the cooking scene, there may be a lot of oil smoke, so the camera may include a normal camera and an infrared camera to assist recognition, so that the recognition is more accurate; algorithms can also be used to enhance the cooking image.

S402: Analyze the cooking image to obtain the cooking state.

After acquiring the cooking image, analyze the cooking image to obtain the cooking state. The cooking state may include the current cooking state and the cooking process state. The current cooking state may include the dish state, the current cooking step, etc.; the cooking process state may include the previous one. How long is the interval between steps, how many actions did you wait.

After analyzing and determining the cooking state, the cooking suggestion can be given immediately, that is, directly go to step S404. For example, after determining the cooking status and learning the current cooking step, suggestions for the next cooking step can be given.

Further, the cooking state may be judged first, and the cooking suggestion is only given when the user is abnormal in cooking, that is, step S403 is performed first.

S403: Determine whether the cooking state meets the cooking standard preset based on the recipe data.

In this step, the cooking standard is used to determine whether the cooking is abnormal, and the cooking standard is preset based on the recipe data. For example, in the example of the recipe data given in the embodiment shown in FIG. 1, based on the recipe data, the preset cooking standard may be exuberant , Heat for 1 minute, stir fry for 1 minute, etc.

When it is determined that the cooking state does not meet the cooking standard, step S404 is executed, that is, in response to the judgment result that the cooking state does not meet the cooking standard, step S404 is executed. That is, step S404 is executed after it is determined that the cooking state is abnormal. For example, when it is acquired according to the cooking image that the cooking state is medium fire, the cooking state does not meet the cooking standard, and then step S404 needs to be performed. When it is judged that the cooking state meets the cooking standard, the cooking advice is given wirelessly, and the process returns to step S401 to continue monitoring the cooking process.

S404: Match cooking status and recipe data to generate cooking suggestions.

After step S402 is completed, the situation of step S404 is directly performed, specifically to match the cooking status and recipe data, determine the current cooking step, and then directly give cooking suggestions for the next cooking step.

After step S402 is completed, the situation of step S403 is performed. In the case where the cooking state is abnormal, the cooking state and recipe data are matched to give cooking suggestions in the normal cooking state.

S405: Present cooking suggestions

In this embodiment, by monitoring the cooking site, when the user does not inquire, the user's cooking process can also be monitored to assist the user in completing the cooking process according to the recipe data. Furthermore, abnormal conditions during the cooking process can be monitored, and cooking suggestions can be given in time to ensure that the user can complete the correct cooking process.

The above auxiliary cooking method is implemented by a smart home appliance. Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an embodiment of a home appliance in the present application. The home appliance 100 in this embodiment includes an input device 11, a processor 12, a memory 13, and an output device 14. In this embodiment, the home appliance 100 can implement the above-mentioned embodiment of the auxiliary cooking method. Among them, the memory 13 stores a computer program, and the processor 12 is used to execute the computer program to implement the above-mentioned auxiliary cooking method.

Specifically, the input device 11 is used to monitor the cooking scene and obtain user cooking information; the processor 12 is used to match the user cooking information and the recipe data preset in the memory 13 to generate cooking suggestions; the output device 14 is used to present cooking Suggest.

Among them, the processor 12 may be an integrated circuit chip with signal processing capability. The processor 92 may also be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components . The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

In this embodiment, the home appliance 100 may be a cooking-related home appliance. For example, for Chinese users, due to dietary habits, the range hood is more commonly used. Therefore, when the user cooks, the home appliance hood performs intelligent assisted cooking. Similarly, for European and American users, the auxiliary cooking function can be set in commonly used household appliances, such as integrated kitchen workbenches.

Taking the range hood of household appliances as an example, the input device 11 may be a microphone or a camera, the microphone is used to obtain user voice, and the camera is used to obtain cooking images; the output device 14 may be a display screen or a speaker, and the display screen is used to realize video Displaying cooking suggestions, the speaker is used to realize voice broadcast of cooking suggestions.

Because there are noises when the range hood is working, an array microphone can also be used as the input device 11 to implement sound pickup noise reduction and improve the signal-to-noise ratio to enhance the user's voice. In addition, due to the problem of oil smoke when the range hood is working, it may affect the camera and then the accuracy of the obtained cooking image. For this purpose, a greaseproof protective cover may be provided on the camera.

The processor 12 and the memory 13 in the home appliance 100 may also exist in the form of a server. The home appliance 100 may include a communication device. The home appliance 100 is connected to the server through the communication device, and the server 12 and the memory 13 are implemented through the server. Features. In this case, when sold in the market, not only the home appliance 100 but also the intelligent service of the server to which the home appliance 100 is connected, so the home appliance 100 that does not physically include the processor 12 and the memory 13 should also be Within the scope of protection of this application.

For the method of the embodiment shown in FIGS. 1-4, it may exist in the form of a computer program, so this application proposes a computer storage medium, please refer to FIG. 6, FIG. 6 is a schematic structural diagram of an embodiment of the computer storage medium of this application . In this embodiment, the computer storage medium 200 stores a computer program 21, which can be executed to implement the method in the above embodiment.

In this embodiment, the computer storage medium 200 may be a medium that can store program instructions, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disk. Or, it may be a server that stores the program instructions, and the server may send the stored program instructions to other devices to run, or it may run the stored program instructions by itself.

In the several embodiments provided in this application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the device implementation described above is only schematic. For example, the division of modules or units is only a division of logical functions. In actual implementation, there may be other divisions, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical, or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software function unit.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application may be essentially or part of the contribution to the existing technology or all or part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of the embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code .

The above are only the embodiments of the present application, and do not limit the patent scope of the present application. Any changes to the equivalent structure or equivalent process made by the description and drawings of this application, or used directly or indirectly in other related technologies In the field, the same reason is included in the scope of patent protection of this application.

Claims (11)

1. An auxiliary cooking method, characterized in that the method includes:

   Monitor the cooking site to obtain user cooking information;

   Matching the user's cooking information and preset recipe data to generate cooking suggestions;

   Present the cooking recommendations.
2. The method according to claim 1, wherein the monitoring the cooking site to obtain user cooking information includes:

   Monitor the cooking scene to obtain user voice;

   The matching of the user's cooking information and preset recipe data to generate cooking suggestions includes:

   Analyzing the user voice to obtain cooking intentions;

   The cooking intention and the recipe data are matched to generate the cooking suggestion.
3. The method according to claim 2, wherein the monitoring the cooking site to obtain the user's voice, then includes:

   Enhance the user voice;

   The analysis of the user's voice to obtain cooking intentions includes:

   The enhanced user voice is analyzed to obtain the cooking intention.
4. The method according to claim 2, wherein the analyzing the user's voice to obtain cooking intentions includes:

   Obtaining cooking images of the cooking scene;

   Analyzing the cooking image to obtain the cooking state;

   The matching of the user's cooking information and preset recipe data to generate cooking suggestions includes:

   Matching the cooking intention, cooking state and the recipe data to generate the cooking suggestion.
5. The method according to claim 1, wherein the monitoring the cooking site to obtain user cooking information includes:

   Monitor the cooking scene to obtain cooking images;

   The matching of the user's cooking information and preset recipe data to generate cooking suggestions includes:

   Analyzing the cooking image to obtain the cooking state;

   The cooking status and the recipe data are matched to generate the cooking suggestion.
6. The method according to claim 5, wherein the analyzing the cooking image to obtain a cooking state includes:

   Judging whether the cooking state meets the cooking standard preset based on the recipe data;

   In response to the judgment result that the cooking state does not meet the cooking standard, a step of matching the cooking state and the recipe data to generate the cooking recommendation is performed.
7. The method according to claim 1, wherein the matching of the user's cooking information and preset recipe data to generate cooking suggestions includes:

   Determining a data label related to the user's cooking information in the recipe data;

   The cooking suggestion is generated according to the data identified by the data tag.
8. The method according to claim 1, wherein the presenting the cooking suggestion includes:

   Voice broadcast the cooking suggestion or video show the cooking suggestion.
9. A household electrical appliance, characterized in that the household electrical appliance includes a processor and a memory, a computer program is stored in the memory, and the processor is used to execute the computer program to implement any one of claims 1-8 The steps of the method.
10. The household electrical appliance according to claim 9, characterized in that the household electrical appliance further includes an input device and an output device, the processor detects the cooking site through the input device to obtain user cooking information, and the processor passes the The output device presents the cooking suggestion;

    The smart home appliance includes a cooker hood, the input device includes a microphone or a camera, and the output device includes a display screen or a speaker.
11. A computer storage medium, characterized in that the computer storage medium stores a computer program, and the computer program is executed to implement the steps of the method according to any one of claims 1-8.

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