Intelligent menu recommendation method of integrated cooker and integrated cooker

Abstract

The invention relates to the technical field of household appliances, in particular to an intelligent menu recommendation method of an integrated cooker and the integrated cooker. The method comprises the following steps: determining dietary habit information of a user based on historical cooking information of various food materials collected by the first camera and / or the second camera; based on the dietary habit information, utilizing a menu construction model to generate recommended menus of various food materials; and selecting a corresponding target menu from the recommended menus based on the current food materials collected by the first camera and / or the second camera, and recommending the target menu to a user. The menu conforming to the dietary habits of the user can be intelligently recommended to the user, so that the user experience is improved.

Description

Technical Field

[0001] The present application relates to the technical field of household appliances, and in particular to an intelligent recipe recommendation method for an integrated stove and an integrated stove. Background Art

[0002] As people's living standards improve, they pay more and more attention to healthy eating, and their requirements for cooking are getting higher and higher. Integrated stoves are also favored by consumers because they integrate hoods, stoves, and steaming and baking. However, in our daily lives, most people have little knowledge of cooking and limited cooking skills, so they cannot cook more of their favorite dishes or more nutritious and healthy recipes through integrated stoves. At present, the steaming and baking modules of integrated stoves on the market usually come with some smart recipes, and you can directly select these smart dishes to cook.

[0003] Since most consumers know little about cooking, some ingredients may be better cooked by steaming or baking, but customers often cook them on stoves; or some ingredients may be cooked on stoves, but consumers cook them by steaming or baking, which fails to achieve the best cooking results. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent recipe recommendation method for an integrated stove and an integrated stove to address the above technical problems.

[0005] In a first aspect, the present application provides an intelligent recipe recommendation method for an integrated stove, wherein the integrated stove includes a range hood, a cooker, and a steam oven, and further includes a first camera disposed on the cooker, and a second camera disposed in the steam oven, wherein the method includes:

[0006] Determining the user's eating habit information based on historical cooking information of various ingredients collected by the first camera and / or the second camera;

[0007] Based on the dietary habit information, a recipe building model is used to generate recommended recipes for various ingredients;

[0008] Based on the current ingredients captured by the first camera and / or the second camera, a corresponding target recipe is selected from the recommended recipes and recommended to the user.

[0009] In some embodiments, the eating habit information includes: ingredient information and cooking information of various ingredients.

[0010] In some embodiments, the food information includes the type of food; the cooking information includes the cooking method of the food, and the type and amount of condiments used in the cooking process; the user's eating habit information is determined based on the historical cooking information of various food ingredients collected by the first camera and / or the second camera, including:

[0011] Using the first camera and / or the second camera to collect video streams of the cooking process of various ingredients;

[0012] Based on the video streams, an image recognition algorithm is used to identify the types of ingredients in each of the video streams, the cooking methods of the ingredients, and the types and amounts of condiments used in the cooking process.

[0013] In some embodiments, the method further comprises:

[0014] Re-determining the user's eating habit information based on the historical cooking information of various ingredients collected by the first camera and / or the second camera according to the recipe update cycle;

[0015] Based on the re-determined eating habit information, the recipe building model is used to regenerate recommended recipes for various types of ingredients.

[0016] In some embodiments, the method further comprises:

[0017] Based on the dietary habit information input by the user, a recipe building model is used to generate recommended recipes for various types of ingredients.

[0018] In some embodiments, the method further comprises:

[0019] The first camera and / or the second camera collects video streams of the cooking process of various ingredients and pushes them to the user's smart terminal in real time.

[0020] In some embodiments, the method further comprises:

[0021] In response to the control signal of the intelligent terminal, the working status of the range hood, the stove and the steam oven is controlled.

[0022] In a second aspect, the present application also provides an integrated stove, including a range hood, a cooker, a steam oven and a processor, and also including a first camera arranged on the cooker and a second camera arranged in the steam oven, and the processor is used to execute the steps of the method described in the first aspect.

[0023] In some embodiments, it also includes:

[0024] The human-computer interaction module is used to display the recommended target menu and the eating habit information input by the user.

[0025] In some embodiments, it also includes:

[0026] The communication module is used to push the video stream of the cooking process of various ingredients collected by the first camera and / or the second camera to the user's smart terminal in real time; and receive the control signal of the smart terminal and send it to the processor.

[0027] The above-mentioned intelligent recipe recommendation method for integrated stoves and integrated stoves have the following beneficial effects: based on the historical cooking information of various ingredients collected by the first camera and / or the second camera, the user's eating habit information is determined; based on the eating habit information, a recipe construction model is used to generate recommended recipes for various ingredients; based on the current ingredients collected by the first camera and / or the second camera, a corresponding target recipe is selected from each of the recommended recipes and recommended to the user, thereby being able to intelligently recommend recipes that match the user's eating habits to the user, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 A schematic diagram of module connection of an integrated stove in one embodiment;

[0030] Figure 2 A schematic diagram of a flow chart of an intelligent recipe recommendation method for an integrated stove in one embodiment;

[0031] Figure 3 is a flow chart of a method for determining dietary habit information in one embodiment;

[0032] Figure 4 The figure is a flowchart of a method for updating a recommended recipe in one embodiment. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0034] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0035] The intelligent recipe recommendation method for an integrated stove provided in the embodiment of the present application can be applied to the integrated stove. Figure 1 As shown, the integrated stove includes a range hood, a cooker, a steam oven and a processor, and also includes a first camera arranged on the cooker and a second camera arranged in the steam oven.

[0036] The first camera can collect the video stream of the cooking process of the stove and obtain the cooking information of the ingredients. Similarly, the second camera can collect the video stream of the cooking process in the steam oven and obtain the cooking information of the ingredients.

[0037] In some embodiments, the integrated stove further includes: a human-computer interaction module for displaying recommended target recipes and the eating habit information input by the user.

[0038] In order to allow users to better communicate and provide feedback with the entire system, the human-computer interaction module mainly includes the design of information input interface, result display interface and user feedback interface. In the information input interface, users can enter their eating habits or health data in the form of a form; the result display allows the system to show the recipe recommendation results to users in a more visual way (for example, in the form of a table divided into short-term recommendation results in weeks or long-term recommendation results in months); feedback design is to design user feedback channels to promote continuous optimization of the system.

[0039] In some embodiments, the integrated stove also includes: a communication module, which is used to push the video stream of the cooking process of various ingredients captured by the first camera and / or the second camera to the user's smart terminal in real time; and receive the control signal of the smart terminal and send it to the processor.

[0040] The smart terminal is, for example, a mobile phone. The first camera and the second camera are interconnected with the user's mobile phone through a communication module. The user can check the cooking status in real time through the mobile phone and control the operation of the integrated stove through the mobile phone, which can avoid the user from frequently going to the kitchen to check the cooking status when cooking food that takes a long time to cook.

[0041] In an exemplary embodiment, Figure 2 As shown, a smart recipe recommendation method for an integrated stove is provided, and the method is applied to Figure 1 The processor end in the example is used for description, and the following steps S201 to S203 are included.

[0042] S201, determining the user's eating habit information based on historical cooking information of various ingredients collected by the first camera and / or the second camera;

[0043] In some embodiments, the eating habit information includes: ingredient information and cooking information of various ingredients.

[0044] In some embodiments, the food information includes the type of food; the cooking information includes the cooking method of the food, and the type and amount of condiments used in the cooking process.

[0045] S202, based on the dietary habit information, generating recommended recipes for various ingredients using a recipe building model;

[0046] S203: Based on the current ingredients captured by the first camera and / or the second camera, select a corresponding target recipe from the recommended recipes and recommend it to the user.

[0047] In the intelligent recipe recommendation method of the above-mentioned integrated stove, the user's eating habit information is determined based on the historical cooking information of various ingredients collected by the first camera and / or the second camera, and based on the eating habit information, a recipe construction model is used to generate recommended recipes for various ingredients, and based on the current ingredients collected by the first camera and / or the second camera, a corresponding target recipe is selected from each of the recommended recipes and recommended to the user, thereby being able to intelligently recommend recipes that match the user's eating habits to the user, thereby improving the user experience.

[0048] In an exemplary embodiment, Figure 3As shown, the determining of the user's eating habit information based on the historical cooking information of various ingredients collected by the first camera and / or the second camera includes:

[0049] S301, using the first camera and / or the second camera to collect video streams of the cooking process of various ingredients;

[0050] S302: Based on the video streams, an image recognition algorithm is used to identify the types of ingredients, cooking methods of the ingredients, and types and amounts of condiments used in the cooking process in each of the video streams.

[0051] The image recognition algorithm can be obtained based on neural network training. After acquiring the video stream, the video stream is divided into frames to obtain video frames. By performing image recognition on the video frames, the type of food in the video can be identified, such as roasted chicken, etc. At the same time, the cooking method of the food can also be identified, such as steaming, frying, etc.

[0052] The trained image recognition algorithm can also identify the condiments used in the video frames and the amount of condiments used.

[0053] By integrating the above-obtained information, the user's eating habits information can be determined and saved.

[0054] In an exemplary embodiment, the user can also input his / her own eating habit information through the human-computer interaction module.

[0055] In an exemplary embodiment, the first camera can also identify the user, and store the user and his / her dietary habit information after binding. When the first camera identifies the user again, the corresponding dietary habit information is matched.

[0056] In an exemplary embodiment, Figure 4 As shown, the method also includes:

[0057] S401, re-determining the user's eating habit information based on the historical cooking information of various ingredients collected by the first camera and / or the second camera according to the recipe update cycle;

[0058] S402: Based on the re-determined dietary habit information, a recipe building model is used to regenerate recommended recipes for various types of ingredients.

[0059] It is understandable that the user's eating habits may change, so the stored eating habit information needs to be adjusted in a timely manner. For example, the recipe update cycle is set to one month, and the user's eating habit information is re-determined every month, and the recipe construction model is used to regenerate recommended recipes for various ingredients.

[0060] Among them, deep learning technology is used to build a multi-level neural network model to learn a large amount of eating habit information and recipes to obtain a recipe construction model.

[0061] The recipe building model can also be connected to the OpenAI big model. The access to the OpenAI big model mainly includes designing data transmission interfaces, real-time analysis and feedback, and protecting user privacy. The design of the data transmission interface is mainly to ensure that the user's eating habits information can be safely transmitted to the OpenAI big model for analysis; real-time analysis and feedback ensure that the system can interact with the OpenAI big model in real time and feedback the recipes and diet optimization suggestions through the feedback mechanism after the big model analysis. In order to protect the privacy of users, a user authorization mechanism is established to ensure that only authorized users can use the OpenAI big model.

[0062] Considering that for some ingredients that take a long time to cook, users cannot remotely obtain real-time cooking information, users need to frequently go to the kitchen to check the cooking status when cooking food that takes a long time to cook.

[0063] In an exemplary embodiment, the method further includes: using the first camera and / or the second camera to collect video streams of the cooking process of various ingredients, and pushing the video streams to the user's smart terminal in real time.

[0064] The smart terminal is, for example, a mobile phone. The first camera and the second camera are interconnected with the user's mobile phone through a communication module. The user can check the cooking status in real time through the mobile phone and control the operation of the integrated stove through the mobile phone, which can avoid the user from frequently going to the kitchen to check the cooking status when cooking food that takes a long time to cook.

[0065] In an exemplary embodiment, the method further includes: controlling the working states of the range hood, the stove and the steam oven in response to a control signal from the smart terminal.

[0066] In addition to being able to view the cooking status in real time through the mobile phone, the user can also respond to the control signal of the intelligent terminal to control the working status of the range hood, cooker and steam oven. For example, when the user determines that cooking can be finished based on the video stream, a control signal can be sent to control the cooker or steam oven to stop working.

[0067] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0068] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps corresponding to the intelligent recipe recommendation method for the integrated stove described in the above embodiments are implemented.

[0069] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0070] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0071] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An intelligent recipe recommendation method for an integrated stove, the integrated stove comprising a range hood, a cooker and a steam oven, further comprising a first camera disposed on the cooker, and a second camera disposed in the steam oven, characterized in that: The method comprises: Determining the user's eating habit information based on historical cooking information of various ingredients collected by the first camera and / or the second camera; Based on the dietary habit information, a recipe building model is used to generate recommended recipes for various ingredients; Based on the current ingredients captured by the first camera and / or the second camera, a corresponding target recipe is selected from the recommended recipes and recommended to the user.

2. The intelligent recipe recommendation method for an integrated stove according to claim 1, characterized in that: The dietary habit information includes: food information and cooking information of various food ingredients.

3. The intelligent recipe recommendation method for an integrated stove according to claim 2, characterized in that: The food information includes the types of food; the cooking information includes the cooking method of the food, and the types and amounts of condiments used in the cooking process; The determining of the user's eating habit information based on the historical cooking information of various ingredients collected by the first camera and / or the second camera includes: Using the first camera and / or the second camera to collect video streams of the cooking process of various ingredients; Based on the video streams, an image recognition algorithm is used to identify the types of ingredients in each of the video streams, the cooking methods of the ingredients, and the types and amounts of condiments used in the cooking process.

4. The intelligent recipe recommendation method for an integrated stove according to claim 1, characterized in that: The method further comprises: Re-determining the user's eating habit information based on the historical cooking information of various ingredients collected by the first camera and / or the second camera according to the recipe update cycle; Based on the re-determined eating habit information, the recipe building model is used to regenerate recommended recipes for various types of ingredients.

5. The intelligent recipe recommendation method for an integrated stove according to claim 1, characterized in that: The method further comprises: Based on the dietary habit information input by the user, a recipe building model is used to generate recommended recipes for various types of ingredients.

6. The intelligent recipe recommendation method for an integrated stove according to claim 1, characterized in that: The method further comprises: The first camera and / or the second camera collects video streams of the cooking process of various ingredients and pushes them to the user's smart terminal in real time.

7. The intelligent recipe recommendation method for an integrated stove according to claim 6, characterized in that: The method further comprises: In response to the control signal of the intelligent terminal, the working status of the range hood, the stove and the steam oven is controlled.

8. An integrated stove, comprising a range hood, a cooker, a steam oven and a processor, and further comprising a first camera disposed on the cooker and a second camera disposed in the steam oven, characterized in that: The processor is used to execute the steps of the method according to any one of claims 1 to 7.

9. The integrated stove according to claim 8, characterized in that: Also includes: The human-computer interaction module is used to display the recommended target menu and the eating habit information input by the user.

10. The integrated stove according to claim 8, characterized in that: Also includes: A communication module, used to push the video streams of the cooking process of various ingredients captured by the first camera and / or the second camera to the user's smart terminal in real time; and receiving a control signal from the smart terminal and sending the control signal to the processor.

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