33 results about "Energy requirement" patented technology

The application discloses an intelligent diet management method and system based on multi-source health data fusion, and relates to the field of health diet management. In order to solve the defects of the existing diet management system, such as data fragmentation, manual input dependence, incapability of generating personalized diet plans and incapability of forming a closed-loop feedback, basic information, medical information and body composition data of a user are acquired; initial health parameters are generated according to the basic information, the medical information and the body composition data of the user, wherein the initial health parameters include basal metabolic rate, total energy consumption and total energy requirement; and the initial health parameters are updated according to dynamic input real-time data, so as to realize intervention and management on diet behaviors, wherein the dynamic input real-time data includes diet data and exercise data. The application is mainly used for intervention and management on diet behaviors according to the results of multi-source health data fusion.

A cooking apparatus including a cooking chamber for receiving food ingredients. A heater for heating the cooking chamber. An input arrangement to input at least one recipe parameter indicative of an energy requirement for cooking the food ingredients. One or more processors control the heater to heat the cooking chamber at a first temperature less than or equal to 140° C. for a fraction of a cooking time and control the heater to heat the cooking chamber at a second temperature higher than 140° C. for the remainder of the cooking time. The remainder is a further fraction of the cooking time which is less than the fraction. The processors select the cooking time based on the energy requirement, fraction of the cooking time at the first temperature, further fraction of the cooking time at the second temperature. A method for operating the cooking apparatus. A computer program for implementing the method.

A method for distributing power from a set power rate power source to a plurality of loads 16a, 16b, 16c comprising determining, for each of the loads, an individual energy requirement over a first up

The invention relates to the technical field of anorexia risk prediction, and discloses an anorexia risk prediction system based on multi-modal data, which comprises a multi-dimensional monitoring module and an intelligent evaluation module. According to the system, health management data and daily life management data of all individuals are obtained through a multi-dimensional monitoring module and are classified to form a data set, and an intelligent evaluation module evaluates the actual energy demand required by the individuals for maintaining the current body weight, generates basic energy consumption, evaluates the individual physical activity level coefficient, generates an energy intake gap, and obtains the health management data and the daily life management data. Metabolic characteristics of different ages, genders and groups are fully considered, the multi-dimensional assessment precision is high, the intelligent assessment module sets a fixed monitoring period, dynamically tracks the change trend of health key indexes, accurately quantifies and assesses the health injury degree of an individual caused by anorexia behaviors, generates injury indexes, quantifies risk levels, and improves the assessment accuracy. Intendencies of individuals to different anorexia subtypes are distinguished, corresponding early warning signals and feeding suggestions are output, and grading early warning screening efficiency is high.

The invention provides a global energy optimal control method and system for an electric vertical take-off and landing aircraft, and relates to the technical field of aircraft control. The method comprises the following steps: firstly, carrying out dynamic modeling on a transition stage, simplifying an equation, and then analyzing the lowest energy consumption performance of a conversion acceleration stage and a re-conversion deceleration stage; introducing an energy consumption formula, establishing a cubic tilt scheduling formula, solving a coefficient, and simplifying a strategy into optimization of a key parameter k; finally, a nonlinear optimization analysis method is adopted, the function relation between the power of each flight stage and related variables is defined, energy consumption minimization and constraint conditions are formalized into equations, global energy consumption minimization is achieved, the cruising ability of the electric vertical take-off and landing aircraft is improved, and the electric vertical take-off and landing aircraft has a wide application prospect. The problems of low energy management efficiency, lack of a global energy optimization view angle and control strategy simplification in the prior art are effectively solved, and the differentiated energy requirements of different flight stages are met.

The invention relates to the cross technical field of artificial intelligence and healthy diet management, in particular to a healthy diet intelligent recommendation system and method based on a large model and an ai agent, multi-dimensional data of plateau environment, human physiology, storable food materials and cooking conditions are collected through a multi-modal module, a standardized data set is formed through preprocessing, and on the basis of the data set, an ai intelligent agent is obtained; the dynamic energy demand is accurately evaluated in combination with an altitude influence coefficient, a physical power coefficient and the like, meanwhile, a nutrient supply gap is calculated, an optimal storable food material combination with the minimum resource consumption is screened by establishing a nutrition standard constraint equation and inventory constraints, and a dietary scheme is generated in combination with plateau cooking evaluation. The health standard-reaching rate and the food material utilization rate are calculated based on the body feedback data, the scene, health and resource risk factors are fused to obtain the early warning index, grading intervention is triggered, intelligent and dynamic adaptation of plateau diet supply is achieved, the health of the garrison is effectively guaranteed, the food material utilization rate is increased, and the scene adaptation risk is reduced.

A method for dynamically managing an energy system includes determining a production plan by determining a first stochastic system dynamic program (SSDP) based on a state of and a forecasted energy demand in the energy system, determining a second SSDP by relaxing the first SSDP, decomposing the second SSDP into energy unit-specific SSDPs, applying the unit-specific SSDPs with a price model to define a bound on the first SSDP, and determining a forward-looking dynamic economic dispatch plan based on the second SSDP by identifying actions for the energy units corresponding to reachable production levels, applying current unit-specific states and the identified actions to the production plan to generate an updated production plan including unit-specific actions and expected continuation values based on the second SSDP that modify subsequent actions, and dispatching the identified unit-specific actions to the energy system.

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.

An example operation includes one or more of establishing communication between a transport and a location via a module including a battery, determining an energy amount in the transport and an energy requirement at the location, and initiating a transfer of a portion of the energy amount from the transport to the battery based on an intended use of the portion at one or more devices at the location.

A system for performing energy optimization of compressors used in refrigeration and HVAC (Heating Ventilation and Cooling) through the synchronization of or adjustment of run cycles so as to minimize overlapping energy demands and to reduce peak energy usage in a given measurement window resulting in lowered cap tag and demand based or transmission bill charges.

Methods and systems for remediating impaired devices in a deployment are disclosed. The devices may be remediated by repairing or replacing the devices. Whether to repair or replace the devices may depend on the operational and performance costs of running the impaired devices in the deployment. Operational costs may include the retail price of the device and any energy requirements to run the impaired device. Performance costs may include effects of the output of the impaired device on other devices along the pathway of devices. If the integrated costs of the operational costs and performance costs outweigh the sum of the individual operational costs and performance costs, then the device may be replaced; otherwise, the device may be repaired.

An energy supply management system for a vehicle, includes at least one energy supply system with at least one energy supply unit and at least one load unit which can be supplied with energy by the at least one energy supply system in order to be supplied with energy. The energy supply management system is configured so as to determine the availability of functions of the at least one load unit, an energy requirement based on the determined availability of functions of the at least one load unit, and the energy which can be provided by the at least one energy supply unit in order to cover the energy requirement.

The invention discloses a communication method and device, a storage medium and a program product, and belongs to the technical field of communication. In the application, first information is determined, the first information is used for indicating a first energy demand, and the first energy demand is associated with a first configuration. On this basis, communication is performed based on a first configuration associated with the first energy demand. Therefore, the communication device can be configured for communication based on the energy requirement, so that the power consumption of the communication device is controlled.

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 direct air capture (DAC) systems and methods efficiently and economically regenerate a desiccant bed without adding any thermal energy and without requiring any pressurization or depressurization of the desiccant reactors. The methods leverage water concentration differences in stream flows, the water concentration profile across a desiccant bed, and, optionally, exothermic water adsorption. These three elements, working in combination, are referred to as "reverse dry flow regeneration" or a "reverse dry air swing" regeneration process. Systems and methods for reverse flow regeneration include those for CO2 DAC applications, but they are also applicable to point source carbon capture and other similar technologies that require initial gas dehydration before exposure to a hydrophilic material.

The invention relates to a method for controlling a mobility concept and for controlling energy distribution by means of an energy distribution system. According to the invention, it is provided that - when a vehicle (2) requests a ride with a driving unit (1, 1'), the vehicle (2) transmits its route, the charge level of its electrical energy storage upon arrival of the vehicle (2) at a pick-up point for a driving unit (1, 1'), the energy requirement for carrying out an individual journey of the vehicle (2) from a starting point to a destination point, and the amount of energy that the vehicle (2) may make available to the energy distribution system to an application program (A), - using the application program (A) a fare (M) for the vehicle (2) as well as a possible pick-up location and a predicted travel time are determined and sent to the vehicle (2) and to the driving unit (1, 1'), wherein - if the vehicle (2) is confirmed as having been taken along, a driving unit (1, 1') is assigned to the vehicle (2), whereby if the vehicle (2) uses the electrical energy provided by the energy distribution system during the transport of the vehicle (2) with the driving unit (1, 1') or if the vehicle (2) feeds energy into the energy distribution system of the driving unit (1, 1'), the determined transport price (M) for the vehicle (2) is adjusted accordingly.

The present invention provides a computer-implemented method for providing recommendations regarding dietary energy levels of poultry diets, comprising the steps of: a) receiving, requesting, and / or providing data from a user's input / output device; and b) calculating actual poultry energy requirements E required and c) determining the feed energy level E of step a). CD and the actual poultry energy requirement E in step b). required and d) determining the relationship between the energy reduction E for the sex of the poultry and the date of the feeding stage of step a). reduction and e) determining the energy reduction E reduction to the input / output device of step a).

The invention relates to the field of new energy automobiles, and discloses an energy storage charging pile energy management method based on peak-valley electricity price adaptive scheduling, which comprises the following steps: analyzing the energy demand distribution characteristics of an energy storage charging pile in different electricity price periods, and calculating the energy utilization efficiency of the energy storage charging pile; identifying an energy supply and demand balance state of the energy storage charging pile, and constructing a scheduling strategy guide set of the energy storage charging pile in combination with the energy utilization efficiency; extracting energy scheduling response characteristics of the energy storage charging pile in the peak-valley electricity price period, and generating a dynamic energy distribution instruction of the energy storage charging pile; setting a scheduling constraint condition of the energy storage charging pile to create a visual energy transfer interface of the energy storage charging pile; and based on the scheduling strategy guide set, generating an adaptive energy management scheme of the energy storage charging pile through the dynamic energy distribution instruction and the visual energy circulation interface. The energy utilization efficiency of the energy storage charging pile can be improved.

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.

Disclosed are various approaches for determining an animal feed formulation. In some implementations, a system may obtain data that provides characteristics of an animal population located at a site. The system may identify a target growth schedule for the animal population. The system may use a data processing model to predict nutrition requirements for tissue growth in the animal population, using the target growth schedule and the characteristics of the animal population, as the model predicts nutrition requirements based on projected nitrogenous energy requirements for the tissue growth. The system may identify a feed formulation producible from a combination of animal feed ingredients to satisfy the nutrition requirements for tissue growth. The system may generate a data output for use of the feed formulation with the animal population, the data output indicating the identified feed formulation producible from the combination of animal feed ingredients.

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.

The embodiment of the invention provides an energy transaction method, device and system for a wide-area distributed energy system, and a storage medium, and relates to the technical field of energy internet and intelligent power grids. The method comprises the following steps: obtaining the availability state of a power grid, the energy demand and comfort index of an energy buyer, and the surplus energy and risk type of an energy seller, and directly introducing the personalized comfort preference of the energy buyer and the risk type difference of the energy seller in a transaction process; therefore, the limitation that the energy buyer is regarded as a homogenization main body and the risk preference of the energy seller is ignored is overcome. The coordination of the benefits of the energy buying party, the energy selling party and the power grid is realized, the energy consumption satisfaction degree of the user, the reasonable income of the energy selling party and the economic operation of the power grid are effectively considered in the wide-area distributed energy system, and the problems of unbalanced supply and demand, local congestion and insufficient excitation of participants are improved.

A method for building equipment of a building includes generating a building architecture profile based on size, type, age, and location data for the building, obtaining an energy profile comprising estimated energy requirements for the building by querying an energy profile database using the building architecture profile, generating an equipment energy allocation based on the energy profile and an equipment ages of the building equipment, determining lifecycle status of the building equipment using the equipment ages and the equipment energy allocation, replacing, maintaining, or repairing at least one unit of the building equipment based on the lifecycle status.

The invention discloses a capacity ratio judgment method of a multi-split air conditioning system, a controller and the multi-split air conditioning system. Values of set identifiers of indoor units are used for determining whether nominal energy demand values of the indoor units are included in calculation or not in the capacity ratio judgment process, and an outdoor unit obtains the nominal energy demand values of the indoor units by obtaining the values of the set identifiers of the indoor units; the nominal total energy demand calculation is carried out by combining the nominal energy demand value of each indoor unit, so that the nominal energy demand values of part of the indoor units can be excluded in the calculation process of the nominal total energy demand, and the outdoor unit can be matched with more indoor units; therefore, according to the embodiment of the invention, the indoor units which are relatively low in use frequency and have relatively small influence on the energy requirement of the multi-split system can be eliminated, and on the premise that the comfort is not reduced, the expansibility of the multi-split system is improved, the capacity matching of the indoor units and the outdoor units is optimized, and the flexibility of the multi-split system is improved.

The present invention relates to a system and method for optimised control of the consumption of electric energy by at least one user, wherein said user is associated with at least one respective electrical energy utility (2) associated with an electrical energy meter ( POD) for measuring the electrical energy consumption the electrical energy utility (2) itself, wherein a virtual fraction of a system for the supply of electrical energy is associated with the specific user in order to enable a comparison between the amount of electrical energy supplied and the amount of electrical energy consumed as detected by the electrical energy meter ( POD), and to optimise the awareness of energy requirements for the specific user.

The present invention relates to a method and a system for optimizing a carbon emission reduction in a process industry. The method comprises identifying one or more processes being run in the process industry and identifying one or more assets associated with the each of the running processes, the information of one or more assets being stored in an asset repository. Further, the method comprises determining an energy demand profile of each of the processes, said profile identifies an energy requirement in running of the process and determining the carbon emission of the process based on the energy demand profile of each of the processes. The method further includes identifying an availability of one or more green energy resources for acquiring the green energy by the process industry and receiving additional data comprising at least one of: an asset health index of the assets in each of the processes, an acquirable amount of the green energy from each of the available green energy resources, wherein each green energy resource is associated with a carbon weightage and a cost, and a weather forecast for a predetermined time period for a location of the process industry. Further, the method comprises executing an optimization model to provide at least one recommendation providing a green energy requirement for each of the processes based on the received additional data, the energy demand profile and the carbon emission of the process.