80 results about "Foods types" patented technology

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 food frying process online monitoring method and system, and relates to the technical field of food processing monitoring. The method comprises the following steps: transmitting a frequency-adjustable ultrasonic signal to a frying medium, receiving a response signal after the medium acts on food, and filtering; according to the comparison result of the amplitude attenuation rate of the response signal and the threshold value, the ultrasonic emission frequency is dynamically adjusted; performing feature extraction on the preprocessed signal to form a feature vector containing amplitude, frequency and energy features; inputting the feature vector into a judgment model trained by a dynamic frequency sample, and outputting a current frying state; and a control instruction of the frying equipment is generated so as to realize process regulation and control. Through combination of frequency-controlled ultrasonic excitation and acoustic feature extraction, the method can adapt to different grease environments and food types, gives consideration to the signal penetration depth and the signal-to-noise ratio, achieves non-destructive, real-time and quantifiable monitoring of the frying process, and remarkably improves the cooking state recognition precision and monitoring consistency.

The invention discloses a diet management system for diabetic patients, which relates to the technical field of intelligent diet management and is technically characterized by comprising a data acquisition module, a nutrition analysis and suggestion generation module, a blood glucose prediction module, a feedback learning module, a personalized strategy recommendation module, an excitation and verification module and a communication module, the system automatically collects health and diet data of a user through a camera, a body fat scale, a glucometer and wearable equipment, identifies food types and estimates components by using a convolutional neural network, and realizes automatic calculation of energy and nutritional ingredients. The food-blood glucose response model constructed on the basis of individual historical data can predict postprandial blood glucose changes, sensitivity coefficients are dynamically updated through a regression correction mechanism, individualized blood glucose prediction is achieved, the system further generates intake suggestions through a component back-calculation method, and the intake suggestions and the intake suggestions are given to a user. And the result is visually displayed on the terminal in the form of a blood glucose curve and an energy distribution diagram, and real-time diet guidance is provided.

The present application relates to a terminal device for blood sugar management during pregnancy and its cloud server, the terminal device collects physiological data and blood sugar data of a target user including the gestation period, the cloud server obtains a plurality of blood sugar data of reference users from a plurality of terminal devices and forms an overall reference data set in a manner associated with gestational age, the cloud server calculates basic statistical indicators for each group in the overall reference data set, combines the specific percentile position of the user's blood sugar data in its own group distribution, judges the current blood sugar state of the user by comparing the user's blood sugar data with the preset healthy blood sugar range, and generates a graded diet suggestion accordingly, the diet suggestion optimizes the diet structure of the target user by selecting food categories with different GI values; the terminal device receives and visually displays personalized diet suggestions matching the blood sugar status of the target user to the target user.

Containers for facilitating adherence to dietary plans are provided, along with related systems and methods. A locking mechanism secures an access panel moveable between an opened position and a closed position in the closed position. A controller receives user input regarding desired caloric intake amount for a time period and regarding a type or types of foodstuff stored at the container, and weight readings from at least one weight sensor. The controller determines a caloric value of removed foodstuffs from the containers from the weight readings and the type or types of foodstuff indicated in the user input, and operates the locking mechanism to secure the access panel in the closed position where the caloric value of the removed foodstuffs for the time period exceeds the desired caloric intake amount for the time period.

The application discloses a method for determining food type of an electric pressure cooker and related components, and relates to the technical field of home appliance control. First, a heating module is controlled to work at a first preset working power. When the pressure in the electric pressure cooker reaches a preset pressure range, the heating control module stops working and the number of pressure signal actions is increased by one, so that the food type is determined based on the number of pressure signal actions subsequently. When the working time of the electric pressure cooker does not reach a preset detection time, the heating module is continuously controlled to repeat the above steps until the working time reaches the preset detection time. The food type of the food to be cooked is determined by the number of pressure signal actions of the electric pressure cooker within the preset detection time, so that the cooking mode corresponding to the food type is adjusted, and problems such as cooking failure affecting the user experience are avoided.

A micro puree machine including a drive motor coupled to a drive shaft via at least one gear. The drive motor is arranged to rotate a drive shaft and blade assembly. A position motor is operable to change a position of the drive shaft via rotation of the position. A user interface is arranged to: i) receive a user input to select a first routine associated with processing a first food type, and ii) display a status of the processing of the first food type while the first routine is running. A controller is arranged to: i) receive the user input selecting the first routine and retrieve the configuration data associated with the first routine, ii) control operations of the drive motor based on the configuration data associated with the first routine, and iii) control operations of the position motor based on the configuration data associated with the first routine.

The application relates to the technical field of multi-modal data processing, and discloses a food nutrition ingredient content intelligent evaluation method, system, terminal and storage medium based on a multi-modal large model, the method comprising the following steps: obtaining multi-modal data and performing pretreatment to obtain target multi-modal data; adopting a pre-trained multi-modal large model to perform feature extraction, feature alignment and feature fusion on the target multi-modal data to obtain multi-modal fusion features; when a new food type appears, updating parameters of an intermediate deep learning model through an incremental learning and memory enhancement mechanism to obtain a target deep learning model; and inputting the multi-modal fusion features into the target deep learning model to output a nutrition ingredient content evaluation result. Through the multi-modal large model and the continuous learning algorithm, high-precision dynamic evaluation of food nutrition ingredients is realized, the emergence of new food types can be adapted to, and high-precision evaluation of old food types can be maintained.

The invention provides an intelligent dinner plate based on multispectral thermal imaging fusion, and belongs to the technical field of intelligent dinner plates. The multi-mode sensing module collects physical and chemical information of food in the dinner plate; the edge calculation and main control module executes real-time data processing at an equipment end; the lightweight food identification and segmentation model is used for identifying food types based on multispectral image data and segmenting areas of the food; the multi-sensor data fusion algorithm is used for fusing the food types, the area proportion information and the total weight, estimating the initial weight of each kind of food based on a pre-trained density factor, and outputting a structured list containing the food types and the initial weights; the cloud nutrition calculation engine receives the structured list and the related hyperspectral feature data, and queries and identifies standard nutritional ingredients of the food from a nutrition database; and calibrating the initial weight by using the hyperspectral characteristic data, and calculating and summarizing the total nutritional ingredients and total calorie of the whole meal based on the calibrated weight and the finely-adjusted nutritional ingredients.

The invention discloses a nutrition regulation and control method based on natural feeding habits of dogs and cats and a matched composition, and belongs to the technical field of pet food. The method comprises the following steps: S1, determining original hunting habits of dogs and cats, and obtaining food types, food sources and food structure data of the dogs and cats in a natural state; s2, based on the original hunting habit data, designing and providing a periodic food composition composed of a plurality of different formulas; s3, feeding different formulas in the periodic food composition in turn according to a predetermined sequence to realize diverse diet; s4, evaluating the influence of the periodic food composition on gastrointestinal health indexes and allergy occurrence probability of dogs and cats through principal component analysis and logistic regression analysis models; and S5, dynamically adjusting the formula or feeding sequence of the periodic food combination according to the evaluation result of the S4. Natural hunting diversity is simulated through periodic food combination, and the problems of nutrition imbalance, intestinal flora imbalance and the like caused by long-term single diet are solved.

This technology provides a way to simplify the selection of colorants and their amounts. [Solution] The food image provision system 1 includes a storage unit 11 that stores data D2 for displaying food images of colored foods using coloring agents, food image information D1 that associates the coloring agent added to the colored food with the amount of coloring agent added, a receiving unit 12 that can receive a specification of at least one of the following: food type, food shape, color classification of the coloring agent, coloring agent, and amount added, and an output unit 13 that can provide at least one food image corresponding to the specification received by the receiving unit 12. The output unit 13 is capable of performing the following processes: providing a first food image associated with the coloring agent and amount added, and providing a second food image that has the same food shape as the first food image associated with the coloring agent and amount added.

The embodiment of the application provides an ohmic heating equipment control method and device, electronic equipment and a storage medium, which determine a heating rate database in a normal working state of ohmic heating equipment; determine the food type of food in the ohmic heating equipment in response to a starting operation of the ohmic heating equipment; then determine a first heating rate when the ohmic heating equipment heats the food, and acquire a second heating rate corresponding to the same food type in the heating rate database; further judge whether the ohmic heating equipment has an electrode pollution phenomenon according to the first heating rate and the second heating rate; if it is determined that the ohmic heating equipment has the electrode pollution phenomenon, the user is informed of a cleaning mode of the ohmic heating equipment. Real-time monitoring and early identification of the electrode pollution state of the ohmic heating equipment are realized, the long-term operation efficiency of the ohmic heating equipment is improved, the service life of the equipment and the heating effect of the food are improved, and the maintenance cost of the equipment is reduced.

A micro puree machine including a drive motor coupled to a drive shaft via at least one gear. The drive motor is arranged to rotate a drive shaft and blade assembly. A position motor is operable to change a position of the drive shaft via rotation of the position. A user interface is arranged to: i) receive a user input to select a first routine associated with processing a first food type, and ii) display a status of the processing of the first food type while the first routine is running. A controller is arranged to: i) receive the user input selecting the first routine and retrieve the configuration data associated with the first routine, ii) control operations of the drive motor based on the configuration data associated with the first routine, and iii) control operations of the position motor based on the configuration data associated with the first routine.

The invention relates to the technical field of temperature measurement based on a food type self-adaptive temperature measurement strategy, and discloses a temperature measurement method and device based on the food type self-adaptive temperature measurement strategy and a medium. The temperature measurement process can adapt to the heat conduction characteristics of different foods, the pertinence of temperature acquisition is improved, the adaptive optimization of the temperature measurement strategy is realized by acquiring detection data of each probe and dynamically adjusting the weight of the probe according to the detection data, the system can accurately reflect the change of the internal temperature gradient, and finally, the real-time temperature is subjected to weighted fusion, so that the accuracy of temperature measurement is improved. And the measured temperature of the food to be subjected to temperature measurement is obtained. The method has the beneficial effects that the problems that a traditional temperature measurement method is inaccurate in measurement, cannot reflect the gradient, depends on manual operation and the like are effectively solved, and the temperature measurement precision, the operation convenience and the final cooking quality stability of the intelligent cooking equipment are remarkably improved.

According to the daily diet nutrition analysis method based on the wireless weighing record, the intelligent nutrition scale can collect the food weight and conduct peeling calculation, and the net diet weight is accurately obtained. Through peeling calculation, weight interference of non-food parts such as containers can be eliminated, it is ensured that data uploaded to a cloud analysis background is the real food weight, and a foundation is laid for follow-up accurate nutrition analysis. The cloud analysis background can record the data in time and bind the data with the user ID, so that the diet data of each user can be independently stored and managed, and subsequent personalized nutrition analysis and health management for the user are facilitated. After the cloud analysis background records the data, a nutrition analysis notice or a food type selection input notice is sent to the user terminal in time. The timely notification mechanism can improve the participation degree and the response speed of the user, and ensures that the whole nutrition analysis process is efficiently carried out. The user can quickly log in the cloud analysis background to perform subsequent operation according to the notification, and waiting time is shortened.

The invention discloses an intelligent food water content monitoring dinner plate, and relates to the field of health management, and the dinner plate comprises a plurality of food storage areas, a total weight display unit and a total water content display unit; the food storage areas comprise a staple food area, a vegetable area and an other food area, each food storage area comprises a plurality of food type selection buttons and a weight monitoring module, and the total weight display unit is used for calculating and displaying the total weight of food according to a weight measurement value of the weight monitoring module of each food storage area; and the total water content display unit is used for calculating and displaying the total water content of the food according to the food type selection information of the food type selection button of each food storage area and the weight measurement value of the weight monitoring module. According to the dinner plate, the dynamic water content of various kinds of food is accurately calculated through weight monitoring, food type selection and water content parameter mapping, the measurement accuracy is improved, the total amount display module provides diet overview, and nursing management is facilitated.

The invention provides a low-methionine diet intelligent recommendation method and system, and relates to the technical field of diet intelligent recommendation, and the method comprises the steps: obtaining a food type and a corresponding attribute; the method comprises the following steps: setting an initial diet combination, adopting a genetic algorithm to optimize and solve the diet combination and evaluate the quality of each diet combination with the target of not exceeding 20% of the current total methionine mass, using a roulette selection based on fitness, carrying out crossover operation to realize single-point crossover, randomly replacing food items, and generating a plurality of random diet combinations; and a KNN similarity calculation method is adopted to obtain the matching degree of each diet combination and the target, and the food weight is locally and finely adjusted to accurately match the target until the optimal diet combination is output.

The invention relates to the technical field of heating area dynamic distribution control, and discloses a heating area dynamic distribution control method and device, an electric fire stove and a storage medium, and the method comprises the steps: obtaining an external power supply capability parameter in real time as a constraint, and generating a heat demand index of each heating zone in combination with a cooking task portrait corresponding to a pot, and the partition power is calculated by taking minimization of the thermal demand deviation as an optimization target. The intelligent energy distribution system has the advantages that intelligent energy dynamic distribution under the condition that power supply is limited is achieved, cooking interruption or overload caused by insufficient power is effectively avoided, and stable operation of the system is ensured; limited electric energy is preferentially and accurately matched to key heat requirements of different cooking stages and food types, the success rate and effect of multi-task concurrent cooking are improved, invalid energy consumption is reduced, and therefore the cooking quality and the overall energy efficiency are both considered in the limited power supply environment.

The utility model relates to food detection technical field, concretely relates to a kind of crushing device for food detection, including workbench, door frame, drive rod, switch disc, mounting seat, lifting plate, support component, crusher, selected component, locating seat and crushing cylinder, door frame is installed on workbench, drive rod is rotatably connected with door frame, switch disc is installed at the bottom end of drive rod, mounting seat is installed in switch disc periphery side, lifting plate is connected with mounting seat by support component, support component and support lifting plate, crusher is installed on lifting plate, the output end of crusher is downwardly protruding mounting seat, selected component is installed on door frame, locating seat is installed on workbench, crushing cylinder is detachably installed on locating seat, solve the problem that due to food detection involves different categories, its physical characteristic difference is remarkable, different requirements to crushing cutter head, and the structure of prior art is relatively single, it is difficult to switch according to food type to crusher, and the adaptability is poor.

The utility model discloses a food model toolbox for nutrition and food rearing of children, which relates to the field of food rearing of children and comprises a box body, four drawing grooves are sequentially arranged on the front side of the box body from top to bottom, drawers are slidably mounted in the four drawing grooves in a limited manner, and food model splicing panels are fixedly arranged in the drawers. A plurality of model grooves are formed in the upper end face of the food model splicing and inserting panel, storage frames are rotatably installed on the two sides of the box body in a limiting mode, a plurality of L-shaped supporting plates are fixedly installed on the side walls of the storage frames, a plurality of partition plates are fixedly connected to the L-shaped supporting plates, and folding plates are slidably arranged on the side walls of the storage frames in a limiting mode. When in use, the food model splicing panel, the model groove, the storage frame, the L-shaped support plate and the partition plate are arranged; the pull rod is pulled to drive the drawer to move out of the drawing groove, food models are placed according to the shape of the model groove and food types, interestingness and attention of children in the learning process are improved, and therefore the effect of food breeding education is improved.

The invention discloses an intelligent logistics scheduling method and system based on a food supply chain. The method comprises the following steps: firstly, analyzing a food seasonal demand change trend of a target area; secondly, analyzing seasonal food type supply characteristics of the target region in each season through a clustering algorithm; and then, introducing an LSTM algorithm, and predicting different types of food requirements of the target region in a future preset time period. And formulating a logistics scheduling scheme of the target region in a future preset time period according to the food demand prediction data, and evaluating the scheduling adaptability after implementation. And finally, adjusting a logistics scheduling scheme according to an evaluation result. The invention aims to effectively relieve the influence of seasonal fluctuation on logistics scheduling, improve the scheduling efficiency and accuracy, and provide an innovative solution for intelligent management of a food supply chain.

The invention provides a diet recommendation method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent medical treatment, and the method comprises the steps: obtaining a historical feeding record of a user, and calculating a daily habitual feeding time period set; when a user injects a medicine, querying a corresponding medicine concentration prediction curve according to the current injection dosage; calculating an initial suggested feeding time period set according to the drug concentration prediction curve and the habitual feeding time period set; the initial suggested feeding time periods with the duration smaller than a preset threshold value are combined and prolonged, and a target suggested feeding time period set is obtained; and when the target suggested eating time period is reached, sending a diet suggestion scheme containing the food type and the quantity to the user. By implementing the technical scheme provided by the invention, the technical problem of discomfort caused by eating according to a fixed diet scheme after GLP-1 drugs are injected at present is solved.

The application is suitable for the technical field of pre-prepared food reheating, and provides a pre-prepared food segmented reheating method and system based on real-time food recognition, which acquires food packaging recognition information, acquires food types and cooking requirements according to the recognition information, compares and corrects an optimal reheating curve with performance parameters of a current device, calculates a curve fitting degree that can be reached by the device, maximizes the approximation of the optimal reheating effect within the range allowed by the device for the corrected reheating curve, acquires individualized parameters through user input or historical preference data, converts the individualized parameters into correction coefficients, dynamically adjusts the reheating curve according to the correction coefficients, and determines target parameters of each stage, generates a feedback vector according to the score combined with operation data, updates parameters of the optimal reheating curve of the corresponding food according to the feedback vector, and optimizes a public optimal curve model according to common characteristics, which has the advantages of intelligence, individualization and self-optimization of the pre-prepared food reheating process.

The invention discloses an intelligent nutrition evaluation system and method based on multi-source data fusion and an adaptive algorithm. Based on Chinese resident dietary pagoda guidelines, a user uploads food photos and weight through an APP, and the system identifies food types by using deep learning and calculates calories of a meal or a day in combination with the weight; food calorie can be quickly identified through photographing, and manual calculation is not needed; meanwhile, diet data of the user are continuously recorded, daily diet habits are analyzed, professional diet suggestions are generated through an adaptive algorithm, accurate and convenient exercise nutrition evaluation and guidance are achieved, the diet management efficiency and scientificity of the user are improved, a psychological nutrition module is adopted, lightweight test questionnaires are set around emotions, emotion, cognition and behaviors, and end-side encryption is adopted to protect privacy; evaluation results and guidance suggestions are obtained according to psychological scales, retest is reminded, and intervention resources are pushed when risks occur; the module is fused with an original scheme, psychological results are brought into diet analysis, a'physiological and psychological 'comprehensive report is generated monthly, and dual health management is achieved.

This application provides a method for recommending food placement and a refrigerated storage device, relating to the field of home appliance technology. The method includes: obtaining the target food type to be placed; determining the target placement location for the target food based on a preset knowledge base and the actual occupancy information of the refrigerated storage device; the preset knowledge base storing recommended storage locations for various types of food; and generating placement guidance information for the food to be placed based on the target food type and its corresponding target placement location, guiding the user to place the target food in the corresponding target placement location. This application can automatically determine the placement locations for different foods to prompt users to place the food in the appropriate locations, thereby extending the shelf life of the food and improving the user experience.

This invention relates to a method and system for optimizing meal replacement intake time based on circadian rhythms, belonging to the field of nutrition management technology. It includes: collecting basic user information, sleep time, and wake-up time; determining a sleep-wake cycle based on sleep and wake-up times; retrieving user age and gender based on the basic information and dividing the sleep-wake cycle into physiological time periods; retrieving health goals and physical fitness parameters based on the basic information to determine the types of meal replacement foods; determining the initial time for meal replacement intake based on physiological time periods and selecting recommended food types; determining a type-based intake adjustment value based on the recommended food types; adjusting the initial time for meal replacement intake based on the type-based intake adjustment value to obtain a recommended meal replacement intake time and outputting it. This invention improves the efficiency of users in achieving their health goals during nutrition management.

The invention relates to a steaming oven operation method and device, a steaming oven, a storage medium and a program product, firstly, a heating assembly can be controlled to be started according to a corresponding mode to heat food materials according to the food material type, the food material size, the food material weight and the needed cooking taste; in the heating process, according to different sizes of the food materials, the heating temperature and / or the heating mode of the food materials can be adjusted according to the surface temperature and the weight information of the small-size food materials, and the heating temperature and / or the heating mode of the food materials can be adjusted according to the surface temperature and the internal temperature of the large-size food materials. According to the scheme, food materials are not simply cooked according to a fixed program, the heating temperature and / or the heating mode are / is adjusted according to different sizes of the food materials in combination with the surface temperature + weight information or the surface temperature + internal temperature mode in the cooking process, it is ensured that the food materials are integrally heated evenly, and the cooking effect of the steaming oven is improved; and diversified user requirements can be met.

The application discloses a refrigerator and a quick-freezing control method thereof. The refrigerator is provided with a weight induction sensor and a temperature sensor in a quick-freezing chamber, so that when a user needs to quickly freeze food in the quick-freezing chamber, a suitable quick-freezing mode can be automatically determined according to the food type, weight and temperature, and the quick-freezing operation duration and other load control can be determined according to the quick-freezing mode, so that the food can be quickly frozen and the energy-saving purpose can be achieved.

The invention provides a feeding method of electronic equipment and a related device. The method comprises the following steps: acquiring a first food type of a plurality of foods fed to the electronic equipment; matching each first food type with a preset food medal database to obtain a plurality of second food types which are not fed; taking one of the second food types as a target food type, and controlling the electronic equipment to output feeding prompt information corresponding to the target food type; if it is detected that the electronic device is fed with the food of the target food type, the electronic device is controlled to output target data content, and the target data content is related to the target medal information corresponding to the target food type. According to the invention, the comprehensiveness and diversity of the fed food of the electronic equipment can be improved, so that the comprehensiveness of the interactive operation of the electronic equipment after feeding is improved, and the intelligent degree of the electronic equipment is higher.

The invention is suitable for the technical field of refrigeration, and provides refrigeration equipment, a control method and a food storage system.The multiple storage areas are independently arranged in the refrigeration equipment, and after it is detected that food stored in the storage areas is increased, the storage conditions of the stored food can be predicted according to the food type of the stored food; according to the food storage condition of each storage area, the refrigerating capacity needing to be increased or decreased and the refrigerating priority of each storage area are determined, and the temperature and humidity of each storage area are subjected to grading and zoning control through the refrigerating system, so that the temperature and humidity control precision of the refrigerating equipment is improved, and the refrigerating efficiency of the refrigerating equipment is improved. The temperature and the humidity in different storage areas meet the storage requirements of stored food, and the food storage effect is improved.