6 results about "Energy requirement" patented technology

This application discloses a real-time energy management method for microgrids, belonging to the field of power control technology. The method includes: acquiring and recording the energy supply data of the microgrid to obtain historical energy data; analyzing the energy supply at the next energy supply time node within the current energy supply cycle based on the historical energy data obtained during the current energy supply cycle; acquiring the environment of the microgrid and obtaining energy supply fluctuation data based on the environmental information; acquiring the trend of energy supply data changes in each energy supply cycle to obtain the energy demand of the microgrid in the current energy supply cycle; verifying the expected energy supply data and energy supply fluctuation data using the energy demand; determining the microgrid energy adjustment mode for the next energy supply time node based on the energy supply data analysis benchmark, and executing the adjustment when the next energy supply time node arrives. This method solves the problems of insufficient accuracy in microgrid energy analysis and low system robustness in existing technologies.

The application discloses a kind of personalized intelligent recipe recommendation system based on user health information, comprising: user information management module, for obtaining and managing the health information of user;Energy calculation module, for calculating ideal body weight, body type classification, basal energy requirement, blood sugar adjusted energy requirement and meal nutrient target according to user information;Food database, for storing the nutrient composition and type attribute of food;Recipe generation module, for selecting food combination from food database according to meal type and nutrient target, and generating personalized recipe using multi-nutrient synergistic optimization intelligent algorithm.The present application is based on the principle of nutrition, on the basis of personalized health management, increase the precise energy calculation function based on ideal body weight and body type classification, realize precision and individualization in energy calculation, nutrient optimization, food selection and other multiple links.

The present disclosure provides an energy supply system for a ship, an energy management method, and an electronic device. The energy supply system comprises: an energy output end configured to be externally connected to a ship load; at least two stages of energy subsystems configured to provide energy for the ship load by means of the energy output end, wherein at least one of the at least two stages of energy subsystems convert waste heat generated during the operation of a ship device into energy; and a processor, monitoring the energy requirements of the ship load, selecting, from among the at least two stages of energy subsystems, a target energy subsystem matching the energy requirements, and controlling the target energy subsystem to provide energy for the ship load. According to the present disclosure, the energy requirements of a ship load can be monitored in real time, and an energy subsystem matching the energy requirements is controlled to provide energy for the ship load, thereby satisfying the energy requirements of the ship load. In addition, the energy subsystem can convert waste heat generated by a ship device into energy, thereby fully utilizing the waste heat, and thus improving the overall thermal efficiency of the ship.

The application discloses a kind of childbirth process energy consumption monitoring and individualized energy demand management system, including multimodal perception layer, transmission layer, computing layer and application decision layer, multimodal perception layer includes multimodal data acquisition module and non-invasive metabolism monitoring module, and the physiological sign parameter of pregnant woman is collected using wearable sensor array in multimodal data acquisition module, and non-invasive metabolism monitoring module carries out collection to tissue oxygenation data, body fluid distribution and metabolism data and oxygen consumption and carbon dioxide production data, computing layer establishes individual basal metabolic rate model by intelligent computing module, and calculates total energy consumption of labor, and then balanced state is calculated by dynamic energy demand prediction model, and application decision layer generates individualized nutrition supplement scheme according to the data of computing layer, triggers multi-level early warning and pushes clinical decision suggestion, and the application realizes real-time accurate monitoring of childbirth process energy consumption, individualized energy demand prediction and dynamic nutrition supplement.

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 discloses an intelligent layered precision feeding method based on a physiological metabolism energy demand model of sea bass, and comprises the following steps: step one, online estimation of instantaneous total metabolism energy demand of a sea bass group; step two, dynamic partition of a pond based on feeding competition intensity; step three, generation and execution of a layered dynamic feeding strategy; and step four, optimization of model parameters based on individual growth homogeneity feedback. Through direct and real-time online estimation of instantaneous total metabolism energy demand of the fish group, real-time perception and layered satisfaction of real physiological demands of the fish group are realized. The precise perception can effectively reduce the feed conversion ratio, alleviate uneven growth caused by feeding competition, and significantly improve the breeding benefit.