11 results about "Meals time" patented technology

A blood glucose level management system according to the present disclosure comprises: a blood glucose level fluctuation learning unit that learns blood glucose level fluctuations of a user on the basis of biological data including at least blood glucose level fluctuations of the user and meal data including at least a meal menu, a meal amount, a meal start time, and a required meal time of the user, and constructs a blood glucose level fluctuation model; a blood glucose level fluctuation prediction unit that predicts, before the user starts a meal, blood glucose level fluctuations of the user after the user has ingested the meal on the basis of the meal data regarding the meal about to be ingested and the blood glucose level fluctuation model, and calculates a predicted blood glucose level fluctuation value; and a result presentation unit that presents the predicted blood glucose level fluctuation value to the user.

The invention discloses a school canteen cost accounting method. The method comprises the following steps: firstly, automatically matching a corresponding cost accounting rule according to a school type and a meal supply mode; then, cost basic data from a canteen business system, a financial system and other channels are collected; and then, according to a matching rule, the cost is collected and shared according to nutrition improvement plan funds, nutrition food partner food fees, non-nutrition food partner food fees and other types, and the number of food of nutrition food, non-nutrition food and the like, specifically, purchasing and receiving settlement sharing are carried out by adopting a proportional sharing or preferential sharing mode; and carrying out indirect cost allocation by adopting an income-expenditure matching method or a workload method. And finally, calculating the cost of each meal and the unit cost of dishes based on the shared data. According to the invention, the problems of multi-fund source mixing, unclear cost accounting and difficult accurate management and control of special fund in the school canteen are solved, automatic and fine management of cost accounting is realized, and effective technical support is provided for scientific pricing, cost control and fund supervision.

The application discloses a vehicle control method and a vehicle, and relates to the technical field of vehicle control, and comprises the following steps: acquiring physiological monitoring data, driving behavior data and a post-meal time length of a driver of a vehicle; the physiological monitoring data comprises a blood sugar parameter; determining an initial driving risk level corresponding to the driver based on the physiological monitoring data and the driving behavior data; correcting the initial driving risk level by combining the post-meal time length and the blood sugar parameter to obtain a target driving risk level; and generating and executing corresponding vehicle control instructions based on the target driving risk level. The application determines a target risk level by acquiring physiological monitoring data, driving behavior data, a post-meal time length and a blood sugar parameter of a driver, generates and executes vehicle control instructions corresponding to the risk level, does not require additional operation of the user, can perform blood sugar monitoring and vehicle control in a vehicle-mounted scene, and improves driving safety and risk identification accuracy.

We provide the system. [Solution] A means for inputting the current location and destination from a user terminal to search for restaurants along a transportation route from the starting point to the destination, A means for calculating the optimal route from the current location to the destination based on user input, A means of receiving information about the user's food and drink preferences and desired meal times, A means of searching for a restaurant located along a transportation route using restaurant information obtained from a database, A means of filtering restaurants that match the user's route and preferences, taking real-time information into consideration, A system that includes means for providing filtered restaurant information to users.

The invention provides a nutrition intervention method and system for a patient with sarcopenia, and relates to the technical field of health data management. The method comprises the following steps: acquiring multi-modal data of a patient, wherein the multi-modal data comprises basic information of the patient, body composition data, clinical phenotype data, nutrition evaluation data, biochemical index data, muscle function data and exercise preference data; determining the nutritional status, risk factors and intervention direction of the patient based on the multi-modal data; based on the intervention direction, generating an individualized nutrition scheme according to a quantity-mass-opportunity balance mechanism and a nutrition intervention mechanism; wherein the nutrition intervention mechanism comprises an intake mechanism, a nutrition quality mechanism and a feeding opportunity mechanism, the intake mechanism is used for determining total energy intake and a nutrition formula, the nutrition formula comprises the variety, the weight and the cooking mode of food materials, and the nutrition quality mechanism is used for determining nutrition preparations needing to be fortified and supplemented. The feeding opportunity mechanism is used for determining daily meal time distribution and cooperation timing with the exercise scheme.

An object of a system according to an embodiment is to propose training, meals, and a sleep environment that are optimal for an individual user.SOLUTION: A system includes an image analysis part, a body composition meter cooperation part, a meal proposal part, and a sleep proposal part. The image analysis unit analyzes a body shape intended by the user and a photograph of the user. The body composition meter interlocking unit measures a muscle mass and a fat mass based on the data analyzed by the image analysis unit. The meal suggestion unit suggests a meal menu and time based on the data measured by the body composition meter link unit. The sleep suggestion unit suggests a sleep environment based on the data measured by the body composition meter link unit.SELECTED DRAWING: Figure 1

The application discloses a kind of personalized meal energy optimization matching method and system, it is related to personalized meal matching field, comprising: obtaining the multidimensional feature data of user, at least including the physiological parameter of user, health goal, daily intake nutrition data and historical dietary behavior data;According to physiological parameter and health goal, the energy requirement target of user all day and the energy supply ratio interval of each nutrient are calculated, and the dynamic nutrition gap vector of meal time to be planned is generated in combination with daily intake nutrition data;According to historical dietary behavior, the preference weight of user to food is constructed;With nutrition gap vector as constraint, with minimizing energy deviation and maximizing user preference as optimization target, multi-objective optimization model is constructed, and multiple candidate meal plans are generated by solving;Output scheme is selected by user, and historical dietary behavior is updated according to selected scheme, for subsequent preference weight iterative optimization.The application solves the technical problem that existing technology cannot realize personalized dynamic accurate meal serving.

The application provides a method and system for nutritional intervention of sarcopenia patients, and relates to the technical field of health data management. The method comprises the following steps: collecting multi-modal data of the patient, the multi-modal data comprising basic information of the patient, human body composition data, clinical phenotype data, nutritional assessment data, biochemical index data, muscle function data and exercise preference data; determining the nutritional status, risk factors and intervention direction of the patient based on the multi-modal data; generating an individualized nutritional plan based on the intervention direction, the quantity-quality-time balance mechanism and the nutritional intervention mechanism; wherein the nutritional intervention mechanism comprises an intake mechanism, a nutritional quality mechanism and an eating time mechanism, the intake mechanism is used to determine the total energy intake and a nutritional formula, the nutritional formula comprises the types and quantities of food materials and cooking methods, the nutritional quality mechanism is used to determine the nutritional preparation that needs to be supplemented, and the eating time mechanism is used to determine the daily meal time distribution and the cooperation timing with the exercise plan.

An approach is provided that trains an artificial intelligence (AI) system with a set of eating characteristics corresponding to a human subject. The eating characteristics include one or more eating patterns, health data, and activity data. The trained AI system generates a meal recommendation corresponding to the human subject. The meal recommendation includes a recommended meal time, and one or more food recommendations that are based upon a determined set of caloric needs pertaining to the human subject. The system automatically provides the generated meal recommendation at a time that is based on the recommended meal time using a voice-enabled virtual assistant that is accessible by the AI system.

The present application relates to the technical field of health management, and particularly relates to a health management system, comprising a user terminal, a wearable monitoring terminal, a drinking water monitoring terminal, a meal information collection terminal, a nutrition auditing terminal, a meal supply terminal and a cloud management platform. The wearable monitoring terminal is used for collecting physiological monitoring data such as heart rate, blood pressure, blood glucose and exercise electrocardiogram of the user at regular time intervals; the drinking water monitoring terminal is used for collecting the drinking water amount and drinking water time of the user, and reminding when the drinking water does not reach the stage target; and the meal information collection terminal is used for collecting a meal identification code on the meal package to obtain the meal material type, calorie, serving size, meal times and allergen information of the meal. The present application can realize closed-loop management of physiological monitoring, drinking water management, meal identification, nutrition auditing, meal supply and cloud report, and improve the automation degree and data continuity of health management.

An object of a system according to an embodiment is to predict a meal time, automatically perform cooking, and improve the efficiency of management and procurement of food ingredients.SOLUTION: The system includes a AI pan, a refrigerator, and a generation AI. The AI pot cooks foods. The refrigerator grasps the state of the food. The generation AI proposes a menu from the state of the refrigerator, and performs a network order when foods are insufficient.SELECTED DRAWING: Figure 1