732 results about "Recipe" patented technology

The invention discloses a customer health data intelligent management system and method, and belongs to the technical field of health data management. Basic data and health data are collected; the client inputs a daily menu and calculates nutrients; establishing a daily nutrient matrix based on nutrients, and identifying a diet mode; defining a taste space, and extracting taste features based on the seasoning use condition of the menu every day; integrating to form an input vector; establishing a personalized nutrition demand prediction model, and training to obtain nutrition constraints; retrieving the candidate recipes based on nutrition constraints, and performing taste matching to obtain recommended recipes; based on the menu selection records of the similar clients, the recommended menu is optimized; dynamically adjusting the recommendation strategy according to the score of the customer for the recommended menu to obtain an optimal menu; when the customer eats the optimal menu, the change of health data before and after diet intervention is calculated, and the intervention effect is quantified; nutrients needed by the client are adjusted based on the intervention effect, and the optimal menu is correspondingly adjusted.

The invention relates to the technical field of cocktails, discloses a cocktail formula retrieval enhanced generation method based on multi-modal feature fusion, and aims to solve the problems of poor accuracy and low individuation degree of an existing method. The scheme mainly comprises the steps that a cocktail finished product image and an ingredient constraint condition text uploaded by a user side are acquired; visual feature extraction and semantic feature extraction are carried out, fusion coding is carried out, and a unified query vector is generated; searching candidate formulas with similarity scores Top-K from a pre-constructed cocktail formula knowledge base; and inputting the query vector and the candidate formula into a retrieval enhanced generation model, generating a cocktail formula recommendation result including a formula name, main ingredients, alternative ingredient suggestions, making steps, formula difficulty and estimated making time, and returning the cocktail formula recommendation result to a user side for display. According to the method, the accuracy and the individuation degree of cocktail formula retrieval are improved, and the method is suitable for intelligent bartending, catering training and personal customization service scenes.

In one implementation, a device receives an input request for a large language model-based network troubleshooting agent regarding an issue in a network. The large language model-based network troubleshooting agent performs a lookup of a recipe based on the input request, wherein the recipe comprises contextual information for the issue. The device generates, by the large language model-based network troubleshooting agent, a prompt for a large language model based on the input request and on the recipe. The device provides, by the large language model-based network troubleshooting agent, the prompt to the large language model to troubleshoot the issue in the network.

The invention discloses a health data analysis and nutrition recipe generation method based on an enhanced large model, and the method comprises the steps: constructing an enhanced large language model, and obtaining an optimal autoregression language model according to an optimized multi-source heterogeneous data set; constructing a medical nutrition knowledge graph to fuse the structured data and the unstructured data of the medical nutrition to obtain an optimized medical nutrition knowledge graph; according to the optimized multi-source heterogeneous data set, constructing a user health portrait used for obtaining multi-dimensional health features of the user; and constructing a user health state time sequence prediction model to obtain user health state data, and obtaining a personalized nutrition recipe in combination with the optimized medical nutrition knowledge graph. The problems that in a traditional method, a data source of health data analysis is single, integration of multi-source heterogeneous data is lacked, the health condition of an individual is difficult to comprehensively reflect, knowledge coverage of the generated recommended recipe is incomplete, the illusion phenomenon is likely to be generated, and the generated recipe is insufficient in pertinence and scientificity are solved.

The invention relates to the technical field of automatic pattern generation and execution, and provides a beverage garland track generation method based on a specific pattern, which can be widely applied to the fields of beverage garland, food decoration, artistic creation and the like, and comprises the following steps: S1, receiving pattern input; s2, analyzing the pattern input to obtain control parameters; s3, generating an execution path based on the control parameters; and S4, generating a control track according to the execution path and executing the control track. Through the basic geometric primitive combination, the pattern formula system and the user input conversion pipeline, the preset garland pattern and user-defined input are adapted, accurate and stable reproduction and flexible expansion of the garland pattern are realized, and the personalized creation capability of the automatic coffee machine is improved. The system is compatible with multiple types of executing mechanisms such as 4-7-axis mechanical arms, breaks through traditional input limitation, supports multi-mode interaction such as natural languages and gestures, can autonomously learn and evolve, constructs open creative ecology, and has four innovation points.

The invention relates to the technical field of artificial intelligence, and discloses a system of a nutrition recipe recommendation system based on artificial intelligence in chronic disease intervention management and an application method. Comprising a data acquisition module, a data preprocessing and feature engineering module, a knowledge base management module, a personalized nutritional requirement modeling module, a recipe generation and optimization module, a user interface module and a model training and updating module which are in communication connection through a network. According to the method, personalized health data such as physiological indexes, chronic disease characteristics, diet preference, allergy and intolerance information of a user are collected in multiple dimensions, a nonlinear relation between the characteristics of the user and nutritional requirements is deeply mined in combination with a deep learning model, and an accurate personalized nutritional requirement model is generated according to specific illness conditions and body indexes of different chronic disease patients; therefore, recipe recommendation conforming to individual differences is provided, and the risk of aggravating the illness state due to improper diet is reduced.

The invention relates to the technical field of cocktail preparation, discloses a cocktail formula generation method and system based on a database and a large language model, and aims to solve the problem that a data acquisition method of an existing terminal device is low in formula feasibility. Cocktail formula data are obtained, and a local cocktail formula database is constructed according to the cocktail formula data; obtaining a natural language description text and an existing raw material list corresponding to the wine blending demand of the user, and carrying out vector coding on the natural language description text to generate a user text vector; multiple pieces of cocktail formula data are jointly retrieved from the cocktail formula database to serve as reference formula data; and according to the reference formula data, the natural language description text and the existing raw material list, constructing prompt words, inputting the constructed prompt words into the large language model, and generating a new cocktail formula under the constraint of the existing raw material list. The feasibility of the cocktail formula is improved.

The invention relates to the technical field of artificial intelligence, and discloses a multi-agent-based formula process optimization method, device and equipment, and the method comprises the steps: collecting production environment parameters in real time through a perception layer agent cluster, generating an environment sensing data set, inputting the environment sensing data set to a digital twinborn, mapping the environment sensing data set into virtual environment state data, and carrying out the simulation of the virtual environment state data. And processing the virtual environment state data through a decision-making layer intelligent agent cluster to obtain process adjustment parameters and a formula topological structure, thereby performing game optimization, and obtaining a target process instruction and a target formula. The environment sensing data set is obtained through the sensing layer intelligent agent to ensure the timeliness and accuracy of the data, virtual simulation of the production process is achieved by mapping the virtual environment state data, process adjustment parameters and a formula topological structure are optimized through game optimization, automation and intelligentization from data collection to optimization decision making are achieved, and the production efficiency is improved. Manual intervention is reduced, and the optimization efficiency of the formula process is remarkably improved.

The embodiment of the invention discloses a healthy diet planning method and system based on multi-modal fusion, and the method comprises the steps: obtaining the multi-modal information of food, carrying out the feature extraction and fusion of the multi-modal information based on a multi-modal fusion technology, and obtaining a food recognition result; constructing a user portrait of a target user based on user information of the target user, wherein the user information at least comprises diet requirements and body health condition information of the target user; in combination with the food recognition result and the user portrait, generating a diet planning scheme suitable for the target user by utilizing large model reasoning; and optimizing the dietary planning scheme according to the dynamically updated nutrition knowledge base, and outputting the optimized dietary planning scheme to the target user. According to the scheme, special nutritional requirements and diet restrictions of different users can be considered, accurate recipe recommendation, food material matching suggestions, diet taboo and the like are provided, and the users are helped to realize reasonable diet and health management.

The present disclosure provides methods and systems for recipe optimization for food applications. A recipe optimization system generates a seed dataset comprising an initial randomized set of seed recipes based on a list of starting ingredients. The recipe optimization system obtains feedback data for a plurality of food products made using the initial randomized set of seed recipes during an initial experimental run. The recipe optimization system generates a plurality of candidate recipes based at least on (1) the feedback data and (2) one or more recipe constraints. The recipe optimization systems applies a predictive model to rank the plurality of candidate recipes according and selects one or more top-ranked candidate recipes for one or more subsequent experimental runs to further optimize the objective function.

The invention belongs to the technical field of recipe optimization, and relates to a recipe optimization method and device based on nutrient intake and a storage medium. The method comprises the following steps: acquiring various food materials and initial dosages thereof in a recipe to be optimized; based on the content of each nutrient in each food material and the initial dosage of each food material, constructing a content equation of each nutrient in the to-be-optimized recipe; based on the content equation of various nutrients in the to-be-optimized recipe, constructing a nutrient type equation which does not meet the constraint in the to-be-optimized recipe by taking the condition that the content of each nutrient in the to-be-optimized recipe is greater than or equal to the minimum intake and less than or equal to the maximum intake as the constraint; constructing an optimization objective function of the to-be-optimized recipe by taking minimization of nutrient types which do not meet the constraint in the to-be-optimized recipe as an objective; and solving the optimization objective function to obtain the target dosage of each food material in the to-be-optimized recipe, so that the to-be-optimized recipe is optimized to generate a recipe conforming to the nutrition intake standard.

The invention discloses a personalized recipe recommendation system, a recommendation method and an interaction system, and relates to the technical field of diet recommendation, the system comprises a user data collection module, a food image recognition module and a personalized recommendation module, the user data collection module is used for obtaining health data and diet preference data of a user, the health data comprises basic information, health conditions and exercise habits, the basic information comprises regions, the health conditions comprise allergen lists, chronic diseases and diet targets, and the food image recognition module is used for obtaining food photos uploaded by a user, recognizing the food photos to obtain food recognition results and sending the food recognition results to the user. The food identification result comprises a food type corresponding to the food photo, and the personalized recommendation module is used for determining a recommended recipe recommended to the user based on the health data, the diet preference data and the food identification result. By considering more comprehensive influence factors, a more suitable and personalized recipe can be recommended to the user.

A recipe builder system, enabling control recipes for a robotic assembly system. The recipe builder system includes a visual interface for a recipe builder, and feedback on execution of the program on the visual interface.

The present invention relates to a smart home cooking system using an artificial intelligence device, comprising: at least one cooking utensil provided to cook food ingredients; and the artificial intelligence device that is provided to identify a speech command of a user and control the cooking utensil to cook the food ingredients according to the identified speech command, learns a preferred food of the user and a preferred food type of the user according to a food cooking history of the user, detects, when there is a request of the user, at least one food recipe according to the preferred food of the user or the preferred type of the user from among a pre-stored plurality of recipes, on the basis of a result of the learning, and provides the detected at least one food recipe to the user as a recommended food recipe.

The invention discloses a cooking parameter dynamic adjusting system of a cooking robot. According to the system, multiple sets of recipes and preset feeding parameters and preset cooking parameters of the recipes in multiple preset stages are pre-stored through a setting module; respectively acquiring image data and gas data of each preset stage by using a first acquisition module and a second acquisition module; the data processing module judges whether the data meet corresponding preset conditions or not and generates a control signal; and the feedback adjusting module adjusts parameters according to the control signal until the data meets conditions. According to the system, dynamic adjustment of cooking parameters can be achieved, and the cooking effect and adaptability of the cooking robot are improved.

A language model is used to suggest content based on preferences of a user of an online system and data queried from a catalog database of the online system. The online system gathers input data including a set of recipes and user data and generates a prompt for input into the language model that includes the input data. The online system requests the language model to generate, based on the prompt input into the language model, the list of recipes for the user, wherein each recipe includes a list of ingredients. The online system selects one or more recipes from the list of recipes for presentation to the user. The online system causes a device associated with the user to display a user interface with a suggestion for the user to include, in a cart, a set of ingredients of the selected one or more recipes.

The present disclosure provides a recipe generation method, a control method, and a related apparatus. The recipe generation method comprises: providing a recipe editing page, and supporting recipe editing for target operations in the recipe editing page, i.e., at target positions in the recipe editing page and by taking the target operations as units, displaying operation identifiers corresponding to the target operations, wherein the target positions are used for representing parameter types, starting moments and durations of the target operations, and the operation identifiers comprise recipe parameter values corresponding to the parameter types; and when the target operations have been displayed in the recipe editing page by means of the operation identifiers, generating a process method on the basis of the operation identifiers in the recipe editing page. The method achieves visual editing of process recipes by taking target operations as units, and does not require users to divide steps for the process recipes, simplifying methods for editing and generating the process recipes, improving the generation efficiency of the process recipes, and improving the analysis and execution efficiency of the process recipes.

The invention discloses a ship intelligent kitchen system based on artificial intelligence, and the system comprises an intelligent cooking control module which monitors the inventory information of food materials in real time, dynamically adjusts the purchasing, storage and consumption strategies of the food materials, optimizes the cooking parameters, and controls intelligent cooking equipment. The customized meal supply module provides a meal ordering terminal supporting multi-mode interaction and customizes recipes for personnel; the health real-time monitoring module monitors the health condition in real time and realizes health risk early warning; the personnel dining scheduling module plans the dining time period of the personnel and guides the personnel to have meals in real time; the restaurant environment adjusting module automatically adjusts and controls light color temperature, temperature and humidity and background media; and the energy management module formulates an energy-saving control strategy, dynamically executes power regulation and drives waste heat and waste water to be recycled. By integrating the AI algorithm, the Internet of Things and the sensor technology, various problems of food material waste, single dish, hysteretic health monitoring and low energy efficiency of a traditional ship kitchen are solved.

The invention provides a range hood operation control method and device, a lifting type range hood and electronic equipment, and the method comprises the steps: obtaining a to-be-cooked food material and a user portrait in response to a cooking starting operation; generating a personalized menu based on the to-be-cooked food materials and the user portrait; and generating a control curve of the range hood based on the personalized menu, wherein the control curve comprises a range hood lifting curve and / or a range hood air volume curve. According to the method, the fine-grained user portrait is constructed by collecting the biological characteristics, the dietary habits and the cooking behavior characteristics of the user, and the control curve of the range hood adaptive to the individual preference is generated accordingly, so that the individual suitability and accuracy of the control curve of the range hood are remarkably improved.

The invention relates to the technical field of diet health services, in particular to a diet service method and system based on human nutriology. The method comprises the steps of collecting multi-dimensional data for a user; on the basis of a human nutriology database and user full-amount data, a personalized nutrition target is determined through nutrition requirement calculation; in combination with personalized nutrition targets, user dietary habits and actual life scenes, food material recipes are matched to generate multiple sets of personalized dietary schemes; providing diet scheme execution guidance, and adjusting the diet scheme; the personalized diet scheme and the updating scheme are pushed to the user; the system comprises a user data acquisition module, a nutrition target determination module, a diet scheme generation module, a diet scheme guidance and dynamic adjustment module and a push module. According to the method, multi-dimensional adaptation of nutritional demand analysis to user data is realized, the disease state, exercise intensity and dietary habits of the user are fully combined, the nutrition target pertinence is improved, and the actual demand of the user is accurately matched.

The invention relates to a cooking assisting method, and the method comprises the steps: obtaining the input information of a to-be-cooked food material, and the input information of the to-be-cooked food material comprises at least one of a food material picture and food material text information; according to the input information of the to-be-cooked food material, recommended menu options and corresponding pin guidance are provided for a user, and the pin guidance is used for guiding the user to insert a temperature probe into the to-be-cooked food material; and after the user selects a menu option and successfully inserts the temperature probe into the food material to be cooked according to the guide of the contact pin, generating a cooking control parameter corresponding to the menu option. The cooking auxiliary method can improve the convenience of food material cooking and the success rate of one-key cooking. The invention further relates to a cooking auxiliary device and system, electronic equipment and a readable storage medium.

An ingredient substitution system may include a shopper device associated with a given shopper that may have shopper profile data associated therewith. An ingredient substitution server is configured to store recipes. Each recipe may have ingredients associated therewith, and each ingredient may have an ingredient nutritional tag associated therewith. The server may determine a recipe from among the recipes based upon matching the ingredient nutritional tag to the corresponding shopper profile data and communicate the recipe to the shopper device. The server may also be configured to determine a substitute ingredient for a given ingredient of the recipe. The substitute ingredient may have a substitute ingredient nutritional tag, and the substitute ingredient may be determined based upon matching the substitute ingredient nutritional tag and the corresponding ingredient nutritional tag. The server may also generate a digital coupon redeemable toward the substitute ingredient and communicate the digital coupon to the shopper device.

The invention provides a formula file generation method, an execution method, an upper computer, a machine and equipment, and the generation method comprises the steps: searching a process step database for a first general process step matched with a first target process formula based on a corresponding relation between the first target process formula and the first general process step; the process step database comprises a corresponding relation between general process steps and parameter values of the process parameters, and the general process steps are process steps suitable for a plurality of process formulas; and generating a formula file of the first target process formula by using the parameter values of the process parameters in the first general process step. According to the scheme, the generation efficiency of the formula file can be effectively improved.

The present invention relates to a dispensing and preparation apparatus for powdered food or beverage products, the apparatus comprising a dispensing device (60) and an associated preparation or extraction device (70); the dispensing device (60) comprising one or more housings for receiving one or more containers (10, 20) with a powdered food or beverage product; the dispensing device (60) comprising a reader (62) to obtain the information of the product parameters of the powdered food or beverage products from the one or plurality of containers (10, 20); the dispensing device (60) further comprising a control unit configured to dispense a certain amount of powdered food or beverage product from each container (10, 20) according to these product parameters and / or according to a recipes database (64) as a function of the beverage to be prepared; the dispensing device (60) further comprising an encoder (63) to encode the beverage information on programmable identification means (65) on a product holder (61) in the dispensing device (60), to where the dispensed powdered food or beverage product is sent; the preparation or extraction device (70) being configured for receiving the product holder (61) and comprising reading means (72) to identify the beverage information in the said product holder identification means (65), the extraction device (70) further comprising a control unit to extract the beverage according to the beverage information retrieved from the product holder (61) and / or from the beverage information retrieved from a beverage database in this control unit. The invention further relates to a method for dispensing powdered food or beverage products and preparing a beverage from them using a dispensing and extraction apparatus as the one described. The invention also relates to the use of a dispensing and extraction apparatus as the one described for delivering a certain beverage from powdered food or beverage products.

A system includes a processor that is configured to receive user information, obtain store information, generate a recipe based on the user information and the store information, present the generated recipe to a user, and guide the user regarding the required ingredients for the recipe.

A cooking guide device and a recipe provision method using the cooking guide device are provided. The cooking guide device comprises: one or more sensors; a memory for storing one or more instructions; and one or more processors for executing the one or more instructions stored in the memory, wherein the one or more processors execute the one or more instructions so as to: acquire sensing data by sensing, through the one or more sensors, the taste of an object to be cooked; identify whether the sensing data corresponds to the preferred taste intensity of a pre-stored recipe; and provide guide information so that the sensing data does not deviate from the preferred taste intensity of the pre-stored recipe.

A method of recommending a process recipe is provided. The method includes selecting candidate process recipes for material synthesis corresponding to target physical properties based on a prediction result of a pre-trained process result predictor based on pieces of recipe data corresponding to a target process, collecting preference data of an expert for arbitrary process recipe pairs selected from among the candidate process recipes, training a preference predictor to predict preference of the expert for the arbitrary process recipe pairs, using the preference data, and recommending, among the candidate process recipes, a target process recipe for the target process, based on the target physical properties predicted by the pre-trained process result predictor and a preference prediction value predicted by the preference predictor in response to the candidate process recipes.

A user interface of an online system is generated based on search for relevant items that match ingredients of a recipe. After receiving, from a device associated with a user of the online system, a query for an ingredient of a recipe, the online system identifies, based on one or more attributes in the query, a set of candidate items for the ingredient. The online system generates a recipe relevance score for each candidate item by applying a weighted sum of scores, ranks the identified candidate items based on their recipe relevance scores, and selects one or more items for presentation to the user. The online system then generates a user interface of the device with a recipe page including the ingredient of the recipe and the one or more items that match the ingredient of the recipe.

An automatic cooking device according to one embodiment includes a cooking table, a housing at least a portion of which is located below the cooking table, a robotic wok, an interface provided on the cooking table and operable by a user, and a control unit that receives information from the interface, calls up a pre-stored recipe based on the received information, and controls the first actuator and the second actuator based on the recipe.

The system according to the embodiment aims to generate appropriate recipes taking into consideration the health information, allergy information, and refrigerator inventory information of family members. [Solution] A system according to an embodiment includes an input unit, an acquisition unit, a generation unit, and a provision unit. The input unit inputs health information or allergy information of family members and dietary needs. The acquisition unit acquires refrigerator inventory information. The generation unit generates a recipe based on the information obtained by the input unit and the acquisition unit. The provision unit provides the recipe generated by the generation unit.