Cooking equipment and recipe recommendation system and method thereof
By incorporating interactive, automatic recommendation, and health recommendation modules into the cooking equipment, and combining users' physical examination and disease data, suitable recipes are recommended. This solves the problem of fixed recipe recommendation methods in existing technologies, meets diverse healthy cooking needs, and enhances the user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-11
- Publication Date
- 2026-03-13
AI Technical Summary
Existing recipe recommendation systems for cooking equipment cannot accurately meet users' healthy cooking needs. The recommendation methods are fixed and formulaic, and cannot recommend suitable recipes based on the user's health condition.
A cooking equipment recipe recommendation system is provided, including an interactive module, an automatic recommendation module, and a health recommendation module. By acquiring the user's physical examination data and disease data, and combining them with available ingredient data, the system determines first-class and second-class recipe recommendation data respectively, supports automatic recommendation and health recommendation methods, and meets the cooking needs of different health conditions.
It has diversified the recipe recommendations, and can recommend suitable recipes based on the user's physical condition and health status, thereby improving the user's healthy cooking performance and user experience.
Smart Images
Figure CN121662296A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of cooking control technology, and in particular to a cooking device and its recipe recommendation system and method. Background Technology
[0002] As living standards continue to improve, people's cooking needs are becoming increasingly diverse, such as healthy cooking and smart cooking. Cooking equipment recipe recommendation systems, which recommend recipes based on user needs, are gaining popularity among users.
[0003] Existing recipe recommendation systems for cooking equipment mainly select recipes from a recipe database based on user data such as ingredients and basic user information. The recommendation method is relatively fixed and formulaic, which cannot accurately grasp the user's needs, nor can it recommend recipes or foods that the user truly needs and that are suitable for their physical condition based on the user's health status, thus failing to meet the user's healthy cooking needs. Summary of the Invention
[0004] This invention provides a cooking device and its recipe recommendation system and method to solve the problem that existing cooking device recipe recommendation methods are relatively fixed and formulaic, failing to meet users' healthy cooking needs and improving the user experience.
[0005] According to one aspect of the present invention, a cooking equipment recipe recommendation system is provided, comprising: an interaction module having a first configuration window, the interaction module being configured to respond to a first interaction command of the first configuration window to activate an automatic recommendation module or a health recommendation module; the automatic recommendation module being configured to acquire physical examination data and available ingredient data of a target user, and determine a first type of recipe recommendation data based on the physical examination data and available ingredient data; and the health recommendation module being configured to acquire disease data and available ingredient data of the target user, determine a healthy cooking mode based on the disease data, and determine a second type of recipe recommendation data based on the healthy cooking mode and available ingredient data.
[0006] Optionally, the disease data includes at least one of the following: historical disease data and current disease data; the health recommendation module is configured to: compare the current disease data with the historical disease data to determine the target user's physical health status; enter the first healthy cooking mode when the physical health status is sub-healthy; enter the second healthy cooking mode when the physical health status is diseased; and enter the third healthy cooking mode when the physical health status is recovering; wherein the recipe databases in the first, second, and third healthy cooking modes are not completely the same.
[0007] Optionally, the interaction module may also include a second configuration window and / or a third configuration window, wherein the interaction module is used to configure the physical health status in response to a second interaction instruction in the second configuration window, and / or to update the recipe database under different healthy cooking modes in response to a third interaction instruction in the third configuration window.
[0008] Optionally, the health recommendation module includes a first communication unit, which can connect to at least one terminal device. The first communication unit is used to perform at least one of the following: communicate with the first terminal device to obtain disease data; communicate with the second terminal device to obtain available food data; and communicate with the third terminal device to obtain first recipe update data, so that the health recommendation module can update the health recipe database.
[0009] Optionally, the automatic recommendation module is provided with a second communication unit, which can connect to at least one terminal device; the second communication unit is used to perform at least one of the following: communicate with the first terminal device to obtain physical examination data; communicate with the second terminal device to obtain available food data; communicate with the third terminal device to obtain second recipe update data, so that the automatic recommendation module can update the automatic recipe database.
[0010] Optionally, the cooking equipment recipe recommendation system also includes: an ingredient warning module, connected to the automatic recommendation module and the health recommendation module respectively. The ingredient warning module is further configured to: acquire historical ingredient data of available ingredient data and historical adoption data of user's first type of recipe recommendation data and / or second type of recipe recommendation data, and generate ingredient optimization suggestions based on historical adoption data and ingredient history data; and / or acquire physical examination data and disease data, and recommend available ingredients based on physical examination data and disease data.
[0011] Optionally, the food ingredient warning module can be set up independently, or it can be integrated with any of the interaction module, automatic recommendation module, or health recommendation module.
[0012] Optionally, the cooking equipment recipe recommendation system further includes a cooking control module, which is connected to the automatic recommendation module and the health recommendation module respectively. The cooking control module is configured to: obtain real-time adoption messages from the user regarding the first type of recipe recommendation data or the second type of recipe recommendation data; enter manual cooking mode when the real-time adoption message is a rejection of the recommended recipe; and enter auxiliary cooking mode when the real-time adoption message is an acceptance of the recommended recipe. In the auxiliary cooking mode, the cooking equipment is controlled to perform auxiliary cooking based on the cooking data corresponding to the first type of recipe recommendation data or the second type of recipe recommendation data.
[0013] According to another aspect of the present invention, a method for recommending recipes using cooking equipment is provided, implemented based on the aforementioned cooking equipment recipe recommendation system. The method includes: selecting an automatic recommendation mode or a health recommendation mode in response to a first interactive instruction; when selecting the automatic recommendation mode, acquiring the target user's physical examination data and available ingredient data, and determining a first type of recipe recommendation data based on the physical examination data and available ingredient data; when selecting the health recommendation mode, acquiring the target user's disease data and available ingredient data, determining a healthy cooking mode based on the disease data, and determining a second type of recipe recommendation data based on the healthy cooking mode and available ingredient data.
[0014] According to another aspect of the present invention, a cooking device is provided, comprising: the above-described cooking device recipe recommendation system.
[0015] The technical solution of this invention provides an interactive module for users to select recommendation methods. An automatic recommendation module executes the automatic recommendation method, determining a first category of recipe recommendations based on the target user's physical examination data and available ingredient data. A health recommendation module executes the health recommendation method, determining a healthy cooking mode based on the target user's disease data, and then determining a second category of recipe recommendations based on the healthy cooking mode and available ingredient data. This solves the problem that existing cooking equipment's recipe recommendation methods are relatively fixed and formulaic, failing to meet users' healthy cooking needs. By combining different recipe recommendation methods with the user's physical examination data, disease data, and available ingredient data, corresponding recipes are recommended. The diverse recommendation modes can meet the cooking needs of different groups and health conditions, improving healthy cooking performance and enhancing the user experience.
[0016] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a schematic diagram of the structure of a cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention;
[0019] Figure 2 This is a schematic diagram of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention;
[0020] Figure 3 This is a schematic diagram of the structure of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention;
[0021] Figure 4 This is a schematic diagram of the structure of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention;
[0022] Figure 5 This is a flowchart of a cooking equipment recipe recommendation method provided in Embodiment 2 of the present invention. Detailed Implementation
[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0025] Example 1
[0026] Figure 1 This is a schematic diagram of a recipe recommendation system for cooking equipment provided in Embodiment 1 of the present invention. See also... Figure 1 As shown, the cooking equipment recipe recommendation system of this application includes: an interactive module 100, an automatic recommendation module 200, and a health recommendation module 300.
[0027] The interaction module 100 includes a first configuration window, which is a custom window for the recipe recommendation method of the cooking device (such as an automatic recommendation method or a health recommendation method). The interaction module 100 of this application is used to respond to a first interaction command in the first configuration window to start the automatic recommendation module 200 or the health recommendation module 300. In this embodiment, the first interaction command may be a recipe recommendation method configuration command entered by the user in the first configuration window. The automatic recommendation module 200 recommends recipes to the user based on the automatic recommendation method; the health recommendation module 300 recommends recipes to the user based on the health recommendation method.
[0028] The automatic recommendation module 200 of this application is configured to: acquire the target user's physical examination data and available food ingredient data, and determine a first type of recipe recommendation data based on the physical examination data and available food ingredient data. The physical examination data refers to real-time detection data characterizing the target user's physical condition. Optionally, the physical examination data of this application includes, but is not limited to, at least one of the following: blood glucose, blood pressure, heart rate, body temperature, height, age, and body fat. In this embodiment, the target user's physical examination data can be acquired in real time via a smartphone or a smart wearable device (such as a health monitoring watch or bracelet). The available food ingredient data of this application is determined based on image data or text data provided by a refrigerator or other food storage equipment. The automatic recommendation module 200 of this application stores an automatic recipe database, which is established based on the correspondence between recipes, physical condition, and ingredients.
[0029] The health recommendation module 300 of this application is configured to: acquire the target user's disease data and available ingredient data; determine a healthy cooking mode based on the disease data and available ingredient data; and determine a second type of recipe recommendation data based on the healthy cooking mode and available ingredient data. Optionally, the disease data in this application includes at least current disease data. The current disease data in this application includes at least one of the following: disease type and duration. In this embodiment, the target user's current disease data can be acquired in real time via a smartphone or smart wearable device (such as a health monitoring watch or bracelet). Upon receiving image data or text data sent by a refrigerator or other food storage device, the health recommendation module 300 identifies the currently available ingredient data through image recognition or text extraction technologies. The healthy cooking modes in this application include, but are not limited to, prevention mode, rehabilitation mode, and conditioning mode. The health recommendation module 300 of this application stores a healthy recipe database, which is established based on the correspondence between recipes, disease data, and ingredients.
[0030] Specifically, after the cooking equipment is powered on, the interaction module 100 is activated first. The target user enters the first interaction command in the first configuration window of the interaction module 100 according to the actual cooking needs, and selects the automatic recommendation mode or the health recommendation mode.
[0031] If the target user selects the automatic recommendation method, the automatic recommendation module 200 is activated. The automatic recommendation module 200 acquires the target user's physical examination data in real time via a smartphone or smart wearable device (such as a health monitoring watch or bracelet), and receives image or text data sent by the refrigerator or other food storage equipment. It then identifies currently available food ingredients using image recognition or text extraction technologies. Next, it compares the current physical examination data and currently available food ingredient data with the ingredients and physical conditions in the automatic recipe database. Recipes corresponding to matching ingredients and physical conditions are identified as the first type of recipe recommendation data, and this first type of recipe recommendation data is pushed to the target user for selection.
[0032] If the target user selects the health recommendation method, the health recommendation module 300 is activated. The health recommendation module 300 acquires the target user's current illness data in real time via a smartphone or smart wearable device (such as a health monitoring watch or bracelet), and receives image or text data from the refrigerator or other food storage equipment. It then identifies currently available food ingredients using image recognition or text extraction technologies. Next, it compares the current illness data and available food ingredient data with the food ingredient and illness data in the health recipe database. Recipes corresponding to matching food ingredients and illness data are identified as second-category recipe recommendation data, and this second-category recipe recommendation data is pushed to the target user for selection.
[0033] Therefore, the technical solution of this application allows users to choose a recommendation method through an interactive module. In the automatic recommendation mode, the first type of recipe recommendation data is determined based on the target user's physical examination data and available ingredient data. In the health recommendation mode, the healthy cooking mode is determined based on the target user's disease data, and the second type of recipe recommendation data is determined based on the healthy cooking mode and available ingredient data. This solves the problem that the recipe recommendation methods of existing cooking equipment are relatively fixed and formulaic, and cannot meet the users' healthy cooking needs. Based on different recipe recommendation methods, and combined with the user's physical examination data, disease data, and available ingredient data, corresponding recipes are recommended. The recommendation modes are diversified, which can meet the cooking needs of different groups of people and different health conditions, improve healthy cooking performance, and enhance the user experience.
[0034] In some embodiments, the automatic recommendation module 200 and the health recommendation module 300 may be integrated into the same controller, such as the whole controller of a cooking device.
[0035] Optionally, the disease data in this application also includes: historical disease data. This historical disease data includes, but is not limited to: disease type (including but not limited to: chronic diseases such as diabetes and hypertension, accidental injuries such as fractures and sprains, and seasonal common illnesses such as the common cold), disease symptoms (including but not limited to: body temperature, blood pressure, blood sugar, blood lipids, heart rate, and accompanying symptoms), disease duration (including but not limited to: first disease time, duration of disease for the target user, and duration of disease for the general population), family medical history, and disease prevention data. In this embodiment, historical disease data can be stored in a storage unit and can be updated.
[0036] The health recommendation module 300 of this application is configured to: compare current disease data with historical disease data to determine the target user's physical health status; when the physical health status is sub-healthy, enter a first healthy cooking mode (e.g., prevention mode); when the physical health status is diseased, enter a second healthy cooking mode (e.g., recovery mode); and when the physical health status is recovering, enter a third healthy cooking mode (e.g., conditioning mode); wherein the recipe databases of the first, second, and third healthy cooking modes are not completely the same.
[0037] Specifically, the system matches current health data (such as body temperature, blood pressure, blood sugar, blood lipids, and heart rate) with historical health data to detect the target user's health status. When the system detects that the target user is in a sub-healthy state, it enters a prevention mode by combining family medical history or disease prevention data input by the user. This mode then recommends a second category of recipes based on currently available ingredients, focusing on recipes that can help prevent disease. For example, in the prevention mode for hypertension, the second category of recipes would be low-salt and low-oil recipes.
[0038] When the target user's health status is detected to be in a state of illness, the system directly enters recovery mode. Based on currently available ingredients, a second type of recipe recommendation is provided, which is a blood sugar control recipe. For example, in the recovery mode for diabetic patients, the second type of recipe recommendation needs to strictly control ingredients that affect blood sugar fluctuations, reduce the amount of high-sugar ingredients, and increase the amount of low-sugar and whole-grain ingredients.
[0039] When the target user's physical condition is detected to be in basic recovery but still requires some time for consolidation and conditioning, the conditioning mode is activated, and conditioning recipes or suitable recipes are recommended based on currently available ingredients. For example, for the conditioning mode of a fracture patient, a reasonable calcium supplementation recipe is recommended.
[0040] Therefore, the technical solution of this application analyzes the target user's physical health status to match suitable healthy recipes, provides targeted recipes under the health recommendation method, improves the health optimization performance of recipe recommendations, and enhances the user experience.
[0041] Optionally, the interaction module 100 further includes a second configuration window and / or a third configuration window. The interaction module 100 is used to configure a health status in response to a second interaction command in the second configuration window, and / or to update the recipe database for different healthy cooking modes in response to a third interaction command in the third configuration window. By expanding the interactive functions of the interaction module, the user experience is enhanced.
[0042] The second configuration window is a customizable window for the user's health status (such as sub-health, illness, or recovery). Users can confirm or correct their health status by entering second interactive commands in the second configuration window.
[0043] The third configuration window is a customizable recipe data window for different healthy cooking modes (such as prevention mode, recovery mode, or conditioning mode). Users can update recommended recipes for different healthy cooking modes by entering third interactive commands in the third configuration window.
[0044] Figure 2 This is a schematic diagram of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention. Figure 1 Based on the illustrated embodiment, a specific implementation method for data acquisition is shown.
[0045] See Figure 2 As shown, the health recommendation module 300 of this application is provided with a first communication unit 301. The first communication unit 301 can connect to at least one terminal device. The first communication unit 301 is used to perform at least one of the following: communicate with the first terminal device to obtain disease data; communicate with the second terminal device to obtain available food data; communicate with the third terminal device to obtain first recipe update data, so that the health recommendation module 300 can update the health recipe database.
[0046] See Figure 2 As shown, the automatic recommendation module 200 of this application is provided with a second communication unit 201, which can connect to at least one terminal device; the second communication unit 201 is used to perform at least one of the following: communicate with the first terminal device to obtain physical examination data; communicate with the second terminal device to obtain available food data; communicate with the third terminal device to obtain second recipe update data, so that the automatic recommendation module 200 can update the automatic recipe database.
[0047] Optionally, the first terminal device may be a smartphone or a smart wearable device (such as a smartwatch or smart bracelet).
[0048] Optionally, the second terminal device may be an image acquisition and communication device installed on a refrigerator or other food storage equipment.
[0049] Optionally, the third terminal device may be a smartphone, a smart wearable device (such as a smartwatch or smart bracelet), or a cloud server.
[0050] Figure 3 This is a schematic diagram of the structure of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention.
[0051] See Figure 3 As shown, the cooking equipment recipe recommendation system of this application further includes: an ingredient warning module 400, which is connected to the automatic recommendation module 200 and the health recommendation module 300 respectively. Optionally, the ingredient warning module 400 can be set independently, or integrated with any one of the interaction module 100, the automatic recommendation module 200, or the health recommendation module 300.
[0052] The food ingredient early warning module 400 of this application is further configured to: acquire historical food ingredient data and historical adoption data of user recommendations for the first and / or second categories of recipes, and generate food ingredient optimization suggestions based on the historical adoption data and historical food ingredient data. The historical adoption data represents the frequency with which the target user selects different recipes or ingredients. The historical food ingredient data represents the frequency with which different ingredients appear in the refrigerator or other food storage equipment. Specifically, the food ingredient early warning module 400 analyzes the health impact of different ingredients based on the historical adoption data and historical food ingredient data, generates food ingredient optimization suggestions, and recommends that users reduce the frequency of consumption of ingredients detrimental to health and increase the frequency of consumption of ingredients beneficial to health. For example, if ingredient A appears too frequently and is detrimental to health, the food ingredient optimization suggestions recommend using less ingredient A and its associated recipes, and recommend eating more alternative ingredients B and their associated recipes; if ingredient C is beneficial to health, it is maintained in the food ingredient optimization suggestions. By analyzing historical data to optimize ingredients and recommend recipes, the system's health performance is further improved.
[0053] The food ingredient warning module 400 in this application is also configured to: acquire physical examination data and disease data, and recommend available food ingredients based on the physical examination data and disease data. Specifically, the food ingredient warning module 400 recommends available food ingredients in the refrigerator or other food storage equipment based on the user's physical condition and health information, and generates corresponding food purchase suggestions. By recommending available food ingredients, intelligent linkage between cooking equipment and food storage settings is achieved, realizing a balance and intelligence in food procurement, and improving the user experience.
[0054] Figure 4 This is a schematic diagram of the structure of another cooking equipment recipe recommendation system provided in Embodiment 1 of the present invention.
[0055] See Figure 4 As shown, the cooking equipment recipe recommendation system of this application further includes a cooking control module 500, which is connected to the automatic recommendation module 200 and the health recommendation module 300 respectively. Optionally, the cooking control module 500 can be set independently, or integrated with any one of the automatic recommendation module 200, the health recommendation module 300, or the whole machine control module.
[0056] The cooking control module 500 of this application is configured to: obtain real-time acceptance messages from users regarding first-type or second-type recipe recommendation data; enter manual cooking mode when the real-time acceptance message indicates rejection of the recommended recipe; and enter auxiliary cooking mode when the real-time acceptance message indicates acceptance of the recommended recipe. In auxiliary cooking mode, the cooking device is controlled to perform auxiliary cooking based on the cooking data corresponding to the first-type or second-type recipe recommendation data.
[0057] The cooking data can be stove heat or power level data. In some embodiments, a cooking curve can be established based on the correspondence between stove power level data and recommended data for different recipes, and the stove power level can be adjusted according to the cooking curve.
[0058] In this embodiment, the target user can communicate with the cooking equipment recipe recommendation system of this application through a terminal device (such as a smartphone or smart wearable device), and provide interactive feedback through the terminal device, providing real-time feedback on the adoption of the recommended recipe.
[0059] Specifically, after the recipe recommendation data is sent, the system receives real-time acceptance messages from the target user regarding either the first or second type of recipe recommendation data. It then determines whether the target user has accepted the system-push recommended recipe. If the target user rejects the recommended recipe, the system enters manual cooking mode to meet the user's self-cooking needs. If the target user accepts the recommended recipe, the system enters assisted cooking mode, adjusting the cooking device's heat based on the cooking data corresponding to the first or second type of recipe recommendation data to achieve assisted cooking. Thus, users can independently select recommended recipes, initiate assisted cooking based on user interaction feedback, automatically adjust the heat according to the cooking temperature curve, and receive prompts for operation steps based on the recommended recipe, thereby enhancing the user experience.
[0060] Example 2
[0061] According to another aspect of the present invention, a cooking equipment recipe recommendation method is provided, which is implemented based on the cooking equipment recipe recommendation system provided in the above embodiments and has the corresponding beneficial effects of the cooking equipment recipe recommendation system.
[0062] Figure 5 This is a flowchart of a cooking equipment recipe recommendation method provided in Embodiment 2 of the present invention.
[0063] See Figure 5 As shown, the recipe recommendation method for cooking equipment in this application specifically includes the following steps:
[0064] S1: In response to the first interactive command, select either the automatic recommendation method or the health recommendation method.
[0065] S2: When selecting the automatic recommendation method, obtain the target user's physical examination data and available ingredient data, and determine the first type of recipe recommendation data based on the physical examination data and available ingredient data.
[0066] S3: When selecting a health recommendation method, obtain the target user's disease data and available ingredient data, determine the healthy cooking mode based on the disease data, and determine the second type of recipe recommendation data based on the healthy cooking mode and available ingredient data.
[0067] Optionally, the disease data includes at least one of the following: historical disease data and current disease data. When selecting a health recommendation method, the cooking equipment recipe recommendation method of this application further includes: comparing the current disease data with the historical disease data to determine the target user's physical health status; entering a first healthy cooking mode when the physical health status is sub-healthy; entering a second healthy cooking mode when the physical health status is diseased; and entering a third healthy cooking mode when the physical health status is recovering; wherein the recipe databases in the first, second, and third healthy cooking modes are not completely identical.
[0068] Optionally, the cooking equipment recipe recommendation method of this application further includes: responding to a second interactive instruction in the second configuration window to configure a physical health status, and / or responding to a third interactive instruction in the third configuration window to update the recipe database under different healthy cooking modes.
[0069] Optionally, the cooking equipment recipe recommendation method of this application further includes: acquiring historical data of available ingredients and historical adoption data of user's first type of recipe recommendation data and / or second type of recipe recommendation data, and generating ingredient optimization suggestions based on historical adoption data and historical ingredient data; and / or, acquiring physical examination data and disease data, and recommending available ingredients based on physical examination data and disease data.
[0070] Optionally, the cooking equipment recipe recommendation method of this application further includes: obtaining real-time acceptance messages from users regarding the first type of recipe recommendation data or the second type of recipe recommendation data; entering a manual cooking mode when the real-time acceptance message indicates rejection of the recommended recipe; and entering an auxiliary cooking mode when the real-time acceptance message indicates acceptance of the recommended recipe. In the auxiliary cooking mode, the cooking equipment is controlled to perform auxiliary cooking based on the cooking data corresponding to the first type of recipe recommendation data or the second type of recipe recommendation data.
[0071] Example 3
[0072] According to another aspect of the present invention, a cooking device is provided, comprising: the cooking device recipe recommendation system provided in the above embodiments, having corresponding functional modules and beneficial effects of the cooking device recipe recommendation system.
[0073] Optionally, the cooking equipment includes, but is not limited to: a gas stove, an integrated stove, a rice cooker, an electric steamer, or an electric griddle.
[0074] The cooking equipment disclosed in this application includes a recipe recommendation system. This system allows users to select a recommendation method through an interactive module. In automatic recommendation mode, it determines a first type of recipe recommendation data based on the target user's physical examination data and available ingredient data. In health recommendation mode, it determines a healthy cooking mode based on the target user's disease data, and then determines a second type of recipe recommendation data based on the healthy cooking mode and available ingredient data. This solves the problem that existing cooking equipment has relatively fixed and formulaic recipe recommendation methods, which cannot meet users' health cooking needs. Based on different recipe recommendation methods, and combined with the user's physical examination data, disease data, and available ingredient data, it recommends corresponding recipes. The diverse recommendation modes can meet the cooking needs of different groups of people with different health conditions, improve health cooking performance, and enhance the user experience.
[0075] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0076] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A recipe recommendation system for cooking equipment, characterized in that, include: An interaction module is provided with a first configuration window. The interaction module is used to respond to a first interaction command in the first configuration window to start an automatic recommendation module or a health recommendation module. The automatic recommendation module is used to obtain the target user's physical examination data and available food data, and determine the first type of recipe recommendation data based on the physical examination data and available food data; The health recommendation module is used to obtain the target user's disease data and available ingredient data, determine a healthy cooking mode based on the disease data, and determine a second type of recipe recommendation data based on the healthy cooking mode and the available ingredient data.
2. The cooking equipment recipe recommendation system according to claim 1, characterized in that, The disease data includes at least one of the following: historical disease data and current disease data; The health recommendation module is configured to: compare the current disease data with the historical disease data to determine the target user's physical health status; when the physical health status is sub-healthy, enter a first healthy cooking mode; when the physical health status is diseased, enter a second healthy cooking mode; and when the physical health status is recovering, enter a third healthy cooking mode. The recipe databases for the first, second, and third healthy cooking modes are not entirely the same.
3. The cooking equipment recipe recommendation system according to claim 2, characterized in that, The interaction module also includes a second configuration window and / or a third configuration window. The interaction module is used to configure the physical health status in response to a second interaction instruction in the second configuration window, and / or to update the recipe database under different healthy cooking modes in response to a third interaction instruction in the third configuration window.
4. The cooking equipment recipe recommendation system according to claim 1, characterized in that, The health recommendation module includes a first communication unit, which is capable of connecting to at least one terminal device. The first communication unit is used to perform at least one of the following: It communicates with a first terminal device to obtain the disease data; It communicates with a second terminal device to obtain the available ingredient data; It communicates with a third terminal device to obtain the first recipe update data, enabling the health recommendation module to update the health recipe database.
5. The cooking equipment recipe recommendation system according to claim 1, characterized in that, The automatic recommendation module is provided with a second communication unit, which can connect to at least one terminal device; The second communication unit is used to perform at least one of the following: It communicates with a first terminal device to obtain the physical examination data; It communicates with a second terminal device to obtain the available ingredient data; It communicates with a third terminal device to obtain second recipe update data, enabling the automatic recommendation module to update the automatic recipe database.
6. The cooking equipment recipe recommendation system according to any one of claims 1 to 5, characterized in that, Also includes: The ingredient warning module is connected to the automatic recommendation module and the health recommendation module respectively. The ingredient warning module is also configured to: acquire the historical data of the available ingredient data and the historical adoption data of the user's recommendation data of the first type of recipe and / or the second type of recipe, and generate ingredient optimization suggestions based on the historical adoption data and the historical ingredient data. And / or, Obtain the physical examination data and the disease data, and recommend suitable ingredients based on the physical examination data and the disease data.
7. The cooking equipment recipe recommendation system according to claim 6, characterized in that, The food ingredient warning module can be set independently, or integrated with any one of the interaction module, the automatic recommendation module, or the health recommendation module.
8. The cooking equipment recipe recommendation system according to any one of claims 1 to 5, characterized in that, Also includes: A cooking control module is connected to the automatic recommendation module and the health recommendation module respectively. The cooking control module is configured to: obtain real-time acceptance messages from users regarding the first type of recipe recommendation data or the second type of recipe recommendation data; enter a manual cooking mode when the real-time acceptance message indicates rejection of the recommended recipe; and enter an auxiliary cooking mode when the real-time acceptance message indicates acceptance of the recommended recipe. In the auxiliary cooking mode, the cooking device is controlled to perform auxiliary cooking based on the cooking data corresponding to the first type of recipe recommendation data or the second type of recipe recommendation data.
9. A method for recommending recipes using cooking equipment, characterized in that, The cooking equipment recipe recommendation system based on any one of claims 1 to 8 is implemented, and the method includes: In response to the first interactive command, select either the automatic recommendation method or the health recommendation method; When the automatic recommendation method is selected, the target user's physical examination data and available food data are obtained, and the first type of recipe recommendation data is determined based on the physical examination data and the available food data. When selecting the health recommendation method, the target user's disease data and available ingredient data are obtained. A healthy cooking mode is determined based on the disease data, and a second type of recipe recommendation data is determined based on the healthy cooking mode and the available ingredient data.
10. A cooking device, characterized in that, include: The cooking equipment recipe recommendation system according to any one of claims 1 to 8.