Intelligent cooking method and system of range hood
By obtaining user information and kitchen image data through the range hood, cooking instructions are generated and broadcast, solving the problem of users lacking guidance during the cooking process, achieving an efficient cooking process and an improved user experience.
Patent Information
- Application Number
- CN202510508755.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-22
- Publication Date
- 2025-08-01
AI Technical Summary
Users lack cooking guidance during the cooking process, resulting in low cooking efficiency and poor user experience.
The user's initial recommendation information is obtained through the range hood, the user's role and time period are identified, the recipe information is generated, and the kitchen image data is collected using the camera, and the kitchen is sent to the cloud server for analysis, and guidance information is generated for voice broadcast.
Provide personalized cooking guidance, improve cooking efficiency and enhance user experience.
Smart Images

Figure CN120402952A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent kitchens, and in particular to an intelligent cooking method and system for a range hood. Background Art
[0002] Current intelligent range hoods can intelligently identify the concentration of the oil mesh or the temperature of the cookware, and intelligently adjust the fan speed to efficiently exhaust oil fumes and maintain fresh air in the kitchen. In terms of intelligent interaction, operations can be performed through a touch panel or a voice control system. Users only need simple voice commands, such as turning on the range hood and increasing the wind speed, and the intelligent range hood can respond precisely, greatly liberating the user's hands. This convenient voice control method is particularly practical.
[0003] However, when users start cooking, they don't know what to cook, to what extent the ingredients are prepared, and how to cook, etc. There is no corresponding cooking guidance, which makes it impossible for users to complete the cooking process efficiently and results in a poor user experience. Summary of the Invention
[0004] In view of this, the purpose of the present invention is to provide an intelligent cooking method and system for a range hood, which provides guidance information for users to help them complete the cooking process efficiently, thereby improving the user's cooking experience.
[0005] In the first aspect, an embodiment of the present invention provides an intelligent cooking method for a range hood, and the method includes:
[0006] Obtain the initial recommended information after the user enters the kitchen;
[0007] Obtain the user demand information according to the initial recommended information;
[0008] Obtain the ingredient information, and generate recipe information according to the user demand information and the ingredient information;
[0009] When the user performs corresponding actions according to the recipe information, collect kitchen image data;
[0010] Send the kitchen image data to the cloud server, so that the cloud server inputs the kitchen image data into a cooking large model for analysis, obtains the user action information and the cooking status information, and generates guidance information according to the user action information and the cooking status information;
[0011] Receive the guidance information sent by the cloud server and perform voice broadcast on the guidance information.
[0012] Further, obtaining the initial recommended information after the user enters the kitchen includes:
[0013] Identify the user role and the time period when the user enters the kitchen to cook;
[0014] Generate initial recommendation information according to the time period when the user enters the kitchen for cooking and the user role;
[0015] Among them, the initial recommendation information includes initial recipe information and initial cooking guidance information.
[0016] Furthermore, identifying the user role includes:
[0017] Collect the user's face image;
[0018] Identify the face image to determine the user role;
[0019] Among them, the user role includes gender and age.
[0020] Furthermore, obtaining ingredient information includes:
[0021] Receive the ingredient information sent by the refrigeration equipment;
[0022] Or,
[0023] Collect the ingredient image information stored by the user in the kitchen;
[0024] Identify the ingredient information according to the ingredient image information.
[0025] Furthermore, the method further includes:
[0026] Receive the recipe cooking curve sent by the cloud server;
[0027] Intelligently control the range hood and stove to perform corresponding operations according to the recipe cooking curve.
[0028] Furthermore, the cooking status information includes: ingredient preparation process information, ingredient preparation progress, cooking process information, and cooking progress.
[0029] In a second aspect, an intelligent cooking system for a range hood according to an embodiment of the present invention includes: a main control module, a camera assembly, and a voice interaction module;
[0030] The main control module is used to obtain the initial recommendation information after the user enters the kitchen; obtain the user demand information according to the initial recommendation information; obtain the ingredient information, and generate recipe information according to the user demand information and the ingredient information;
[0031] The camera assembly is used to collect kitchen image data when the user performs corresponding actions according to the recipe information;
[0032] The main control module is used to send the kitchen image data to the cloud server, so that the cloud server inputs the kitchen image data into the cooking large model for analysis, obtains the user action information and cooking status information, and generates guidance information according to the user action information and cooking status information; receive the guidance information sent by the cloud server;
[0033] A voice interaction module for voice broadcasting the guidance information.
[0034] Furthermore, the main control module is specifically configured to:
[0035] Identify the user role and the time period when the user enters the kitchen to cook;
[0036] Generate initial recommendation information according to the time period when the user enters the kitchen to cook and the user role;
[0037] Wherein, the initial recommendation information includes initial recipe information and initial cooking guidance information.
[0038] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where a computer program that can run on the processor is stored on the memory, and when the processor executes the computer program, the above-mentioned method is implemented.
[0039] In a fourth aspect, an embodiment of the present invention provides a computer-readable medium having non-volatile program code executable by a processor, and the program code causes the processor to execute the above-mentioned method.
[0040] An embodiment of the present invention provides an intelligent cooking method and system for a range hood, including: obtaining initial recommendation information after the user enters the kitchen; obtaining user demand information according to the initial recommendation information; obtaining ingredient information, and generating recipe information according to the user demand information and the ingredient information; when the user performs corresponding actions according to the recipe information, collecting kitchen image data; sending the kitchen image data to a cloud server so that the cloud server inputs the kitchen image data into a cooking large model for analysis to obtain user action information and cooking status information, and generating guidance information according to the user action information and the cooking status information; receiving the guidance information sent by the cloud server and performing voice broadcasting on the guidance information; providing guidance information for the user to help the user complete the cooking process efficiently, thereby improving the user's cooking experience.
[0041] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification, claims and drawings.
[0042] To make the above-mentioned objectives, features and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, the detailed description is as follows. Description of the Drawings
[0043] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0044] Figure 1 Flow chart of the intelligent cooking method for the range hood provided in the first embodiment of the present invention;
[0045] Figure 2 Schematic diagram of the intelligent cooking system for the range hood provided in the second embodiment of the present invention;
[0046] Figure 3 Schematic diagram of another intelligent cooking system for the range hood provided in the second embodiment of the present invention.
[0047] Icon:
[0048] 1 - Main control module; 2 - Camera assembly; 3 - Voice interaction module; 4 - Human body recognition module; 5 - Network module; 6 - Time recognition module. Specific embodiments
[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the present invention with reference to the drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.
[0050] To facilitate the understanding of this embodiment, the following will provide a detailed introduction to the embodiments of the present invention.
[0051] Embodiment 1:
[0052] Figure 1 Flow chart of the intelligent cooking method for the range hood provided in the first embodiment of the present invention.
[0053] Refer to Figure 1 , the method includes the following steps:
[0054] Step S101, obtaining the initial recommendation information after the user enters the kitchen;
[0055] Step S102, obtaining the user demand information according to the initial recommendation information;
[0056] Specifically, the human body recognition module automatically recognizes whether there is a target object; if so, the time recognition module is automatically activated, and the time period when the user enters the kitchen for cooking is automatically recognized by the time recognition module; the camera component can collect face images and send the face images to the main control module; the main control module recognizes the face images to determine the user role. Anticipate whether the user is preparing breakfast, lunch, dinner or others, and actively ask the user's needs for the first time through the voice interaction module to obtain the user's demand information.
[0057] Step S103, obtain ingredient information, and generate recipe information according to the user demand information and the ingredient information;
[0058] Specifically, the network module is connected to the refrigeration equipment to obtain ingredient information from the refrigeration equipment; recommend suitable breakfast, lunch or dinner recipes according to the ingredient information and the user demand information, and inform the user in the way of voice broadcast. The user can select the favorite recipes through voice interaction. More personalized services can also be provided. For example, different recipes and cooking guides are recommended according to the user role.
[0059] In addition, the ingredient information can also be intelligently recognized by the camera component, and combined with the interaction between the intelligent cooking system and the user, the input of the ingredient information is completed.
[0060] Step S104, when the user performs corresponding actions according to the recipe information, collect kitchen image data;
[0061] Step S105, send the kitchen image data to the cloud server, so that the cloud server inputs the kitchen image data into the cooking large model for analysis, obtains the user action information and the cooking status information, and generates guiding information according to the user action information and the cooking status information;
[0062] Step S106, receive the guiding information sent by the cloud server and perform voice broadcast on the guiding information.
[0063] Specifically, the camera component is used to capture the kitchen image data in the kitchen, send the kitchen image data to the cloud server, and the cloud server inputs the kitchen image data into the cooking large model for analysis, obtains the user action information and the cooking status information, so as to provide more personalized guidance (such as real-time AI voice prompts and interactions). Among them, the cooking status information includes: ingredient preparation process information, ingredient preparation progress, cooking process information and cooking progress.
[0064] In this embodiment, the time period when the user enters the kitchen for cooking is identified; the face image of the user is collected; the face image is recognized to determine the user role; based on the time period when the user enters the kitchen for cooking and the user role, initial recommendation information is generated; the initial recommendation information is broadcast to the user through the voice interaction module, and the user's needs are actively queried to obtain the user's need information; the ingredient information is obtained, and recipe information is generated based on the user's need information and the ingredient information; when the user performs corresponding actions according to the recipe information, the camera component collects kitchen image data; the cloud server inputs the kitchen image data into the cooking large model for analysis to obtain the user action information and the cooking status information, and generates guidance information based on the user action information and the cooking status information; thus, the user's actions can be accurately judged, the cooking status can be understood, and the user can complete the cooking process more efficiently. This application combines functions such as kitchen cooking time period recognition, user role recognition, voice interaction technology, and intelligent ingredient information recommendation, aiming to improve the user's cooking experience.
[0065] Further, step S101 includes the following steps:
[0066] Step S201, identify the user role and the time period when the user enters the kitchen for cooking;
[0067] Step S202, generate initial recommendation information based on the time period when the user enters the kitchen for cooking and the user role;
[0068] Among them, the initial recommendation information includes initial recipe information and initial cooking guidance information.
[0069] Specifically, when the user enters the kitchen, the main control module generates initial recommendation information based on the time period when the user enters the kitchen for cooking and the user role; the initial recommendation information is broadcast to the user through the voice interaction module, and the user's needs are actively and initially queried to obtain the user's need information.
[0070] Further, step S201 includes the following steps:
[0071] Step S301, collect the face image of the user;
[0072] Step S302, recognize the face image to determine the user role;
[0073] Among them, the user role includes gender and age.
[0074] Further, obtaining the ingredient information includes: receiving the ingredient information sent by the refrigeration equipment;
[0075] Or,
[0076] Collect the ingredient image information stored by the user in the kitchen;
[0077] Identify food information based on food image information.
[0078] Specifically, there are two ways to obtain food information: the first way is to receive the food information sent by the refrigeration equipment through the network module; the second way is to collect the food image information of the kitchen through the camera component, and the main control module recognizes the food image information of the kitchen to obtain the food information.
[0079] Furthermore, the method further comprises the following steps:
[0080] Step S401, receiving a recipe cooking curve sent by a cloud server;
[0081] Step S402: intelligently controlling the range hood and stove to perform corresponding operations according to the recipe cooking curve.
[0082] Specifically, the range hood and stove are intelligently controlled to perform corresponding operations according to the recipe cooking curve, and combined with the cooking large model processing to achieve more precise control and ensure the smooth progress of the cooking process.
[0083] The cooking big model is used to process kitchen image data such as food preparation and cooking collected by the camera component, accurately judge user actions, understand the cooking status, and provide real-time AI voice prompts and interactions; and intelligently control the range hood and stove actions according to the recipe cooking curve of the cloud server, realizing intelligent management of the entire process from the user entering the kitchen to completing cooking, providing users with a convenient, efficient and safe cooking experience.
[0084] Example 2:
[0085] Figure 2 Schematic diagram of the intelligent cooking system of the range hood provided in the second embodiment of the present invention.
[0086] Reference Figure 2 , the system includes: a main control module 1, a camera component 2 and a voice interaction module 3;
[0087] Main control module 1 is used to obtain the initial recommendation information after the user enters the kitchen; obtain the user's demand information based on the initial recommendation information; obtain the ingredient information, and generate recipe information based on the user's demand information and the ingredient information;
[0088] Camera component 2, used to collect kitchen image data when the user performs corresponding actions according to the recipe information;
[0089] Main control module 1 is used to send kitchen image data to the cloud server, so that the cloud server inputs the kitchen image data into the cooking model for analysis, obtains user action information and cooking status information, and generates guidance information based on the user action information and cooking status information; and receives the guidance information sent by the cloud server;
[0090] The voice interaction module 3 is used to broadcast the guidance information in voice.
[0091] In this embodiment, the time period when the user enters the kitchen for cooking is recognized and the user role is recognized to obtain the initial recommendation information; the user demand information is obtained according to the initial recommendation information; the breakfast, lunch or dinner recipes are intelligently recommended according to the user demand information and the ingredient information, and the user is broadcast in voice. After the user selects a recipe, the camera collects the kitchen image data of the cooking process in real time and uploads it to the cloud server through the network module 5, so that the cloud server processes it using the cooking large model, accurately judges the user's actions, understands the cooking status, and gives voice prompts in real time.
[0092] Furthermore, the main control module 1 is specifically used for:
[0093] Recognize the user role and the time period when the user enters the kitchen for cooking;
[0094] Generate the initial recommendation information according to the time period when the user enters the kitchen for cooking and the user role;
[0095] Among them, the initial recommendation information includes the initial recipe information and the initial cooking guidance information.
[0096] Furthermore, referring to Figure 3 , the system further includes a human body recognition module 4 and a time recognition module 6;
[0097] The time recognition module 6 is used to recognize the time period when the user enters the kitchen for cooking;
[0098] The human body recognition module 4 is used to detect whether there is a target object in the kitchen; among them, the target object can be the user.
[0099] The embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the intelligent cooking method of the range hood provided in the above embodiment.
[0100] The embodiment of the present invention also provides a computer-readable medium having non-volatile program code executable by a processor. A computer program is stored on the computer-readable medium. When the computer program is run by the processor, it executes the steps of the intelligent cooking method of the range hood in the above embodiment.
[0101] The computer program product provided by the embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the foregoing method embodiments. For specific implementation, reference can be made to the method embodiments, which will not be elaborated here.
[0102] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems and devices described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0103] In addition, in the description of the embodiments of the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.
[0104] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.
[0105] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0106] Finally, it should be noted that the above-described embodiments are only specific embodiments of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that any person skilled in the technical field of the present invention can still modify the technical solutions recorded in the foregoing embodiments, or can easily conceive of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims
1. An intelligent cooking method for a range hood, characterized in that, The method includes: Obtaining initial recommendation information after the user enters the kitchen; Obtaining user demand information according to the initial recommendation information; Obtaining ingredient information, and generating recipe information according to the user demand information and the ingredient information; When the user performs corresponding actions according to the recipe information, collecting kitchen image data; Sending the kitchen image data to a cloud server, so that the cloud server inputs the kitchen image data into a cooking large model for analysis, obtaining user action information and cooking status information, and generating guiding information according to the user action information and the cooking status information; Receiving the guiding information sent by the cloud server, and performing voice broadcast on the guiding information.
2. The intelligent cooking method of the range hood according to claim 1, characterized in that, Obtaining initial recommendation information after the user enters the kitchen includes: Identifying the user role and the time period when the user enters the kitchen for cooking; Generating the initial recommendation information according to the time period when the user enters the kitchen for cooking and the user role; Wherein, the initial recommendation information includes initial recipe information and initial cooking guiding information.
3. The intelligent cooking method of the range hood according to claim 2, characterized in that, Identifying the user role includes: Collecting a face image of the user; Identifying the face image to determine the user role; Wherein, the user role includes gender and age.
4. The intelligent cooking method of the range hood according to claim 1, characterized in that Obtaining ingredient information includes: Receiving the ingredient information sent by a refrigeration device; Or, Collecting ingredient image information of the ingredients stored by the user in the kitchen; Identifying the ingredient information according to the ingredient image information.
5. The intelligent cooking method of the range hood according to claim 1, characterized in that, The method further includes: Receiving a recipe cooking curve sent by the cloud server; Intelligently controlling the range hood and the cooking stove to perform corresponding operations according to the recipe cooking curve.
6. The intelligent cooking method of the range hood according to claim 1, wherein The cooking status information includes: ingredient preparation process information, ingredient preparation progress, cooking process information, and cooking progress.
7. An intelligent cooking system for a range hood, characterized in that, The system includes: a main control module, a camera component, and a voice interaction module; The main control module is used for obtaining initial recommendation information after the user enters the kitchen; obtaining user demand information according to the initial recommendation information; obtaining ingredient information, and generating recipe information according to the user demand information and the ingredient information; The camera component is used for collecting kitchen image data when the user performs corresponding actions according to the recipe information; The main control module is used for sending the kitchen image data to a cloud server, so that the cloud server inputs the kitchen image data into a cooking large model for analysis, obtaining user action information and cooking status information, and generating guiding information according to the user action information and the cooking status information; receiving the guiding information sent by the cloud server; The voice interaction module is used for performing voice broadcast on the guiding information.
8. The intelligent cooking system of the range hood according to claim 7, characterized in that The main control module is specifically used for: Identifying the user role and the time period when the user enters the kitchen for cooking; Generating the initial recommendation information according to the time period when the user enters the kitchen for cooking and the user role; 9. An electronic device, comprising a memory and a processor, wherein a computer program capable of running on the processor is stored on the memory, characterized in that 10. A computer-readable medium having non-volatile program code executable by a processor, characterized in that, The program code causes the processor to execute the method according to any one of claims 1 to 6.
Citation Information
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