46 results about "Energy parameter" patented technology

Optimized backscatter energy harvesting using a Reconfigurable Intelligent Surface (RIS) may be provided. Energy parameters may be received from a backscatter communication device. Then an energy critical message may be received from the backscatter communication device. The backscatter communication device may then be instructed to send frequent messages in response to receiving the energy critical message from the backscatter communication device. Next, a configuration for a Reconfigurable Intelligent Surface (RIS) cluster may be determined to supply energy to the backscatter communication device based on the energy parameters and the frequent messages. The RIS may be caused to supply energy to the backscatter communication device based on the configuration.

The application relates to a diffusion parameter determination method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: obtaining a first energy parameter of a target fuel cell under an oxygen vacancy structure and second energy parameters of the target fuel cell under a plurality of oxygen vacancy structures; processing the first energy parameter and each second energy parameter to obtain a free energy parameter corresponding to each oxygen vacancy structure; determining a target oxygen vacancy concentration according to the free energy parameter corresponding to each oxygen vacancy structure; constructing a structure model according to the target oxygen vacancy concentration, and solving the structure model through an ab initio molecular dynamics (AIMD) algorithm to obtain a target diffusion parameter corresponding to the target oxygen vacancy concentration; each oxygen vacancy structure refers to a structure corresponding to different oxygen vacancy concentrations in the target fuel cell. The method can improve the accuracy of the determined diffusion coefficient.

This invention discloses a method for calculating needle-free injection depth based on energy analysis, comprising the following steps: Step 1, obtaining the jet process parameters during a single needle-free injection, and calculating the initial peak jet power and the total jet energy of this injection; Step 2, calculating the initial injection depth based on the initial peak jet power using a preset initial depth linear model; Step 3, calculating the diffusion depth increment based on the total jet energy using a preset diffusion depth linear model; Step 4, calculating the predicted maximum injection depth based on the sum of the initial injection depth and the diffusion depth increment. This invention decomposes the injection process into two stages: initial impact and subsequent diffusion, and establishes linear prediction models for each stage based on the jet energy parameters, thereby achieving reliable and accurate calculation and prediction of the injection depth for large-volume needle-free injections.

The provided method includes: determining an energy parameter and a co-volume parameter of a pure gas by a PR state equation, and determining a material parameter and a co-volume parameter of a mixed gas by a Waals one-fluid mixing rule and a combination rule; determining a Helmholtz free energy density and an equilibrium density of the pure gas by a Wertheim molecular association theory, and determining Helmholtz free energy and an equilibrium density of a (H2+N2) mixed gas with different components by a density mixing rule; determining an influence parameter of the pure gas by a gradient theory (GT), and determining an influence parameter of the mixed gas by the influence parameter of the pure gas and an interaction coefficient; simplifying a GT model; and obtaining the surface tension of the (H2+N2) / H2O system at different temperatures by combining the LGT model and the PR state equation.

The present application provides a kind of open-air blasting hole net parameter determination method, device, electronic equipment and detection system, belongs to blasting engineering technical field.The method comprises: S1, obtains the rock mass explosibility parameter of target blast area, initial hole net parameter;S2, the parameters obtained and blasting energy parameters are input into numerical simulation model, and output prediction result;S3, obtains the measured result according to the current hole net parameter execution blasting;S4, according to the measured result and prediction result, corrects the parameters of numerical simulation model;S5, optimizes hole net parameter;S6, based on the iteration control of multi-objective optimization repeatedly executes S2-S5, and the first preset number of iterations control executes S2-S5, subsequent iteration control only executes S2 and S5;Until the prediction boulder rate exceeds the first threshold value, stop iteration, and the optimal hole net parameter with the prediction boulder rate less than the first threshold value is determined as target hole net parameter.The method is used to solve the problem of high explosive specific consumption in related art.

This application discloses a cutting system and method for orthodontic appliances. The cutting method includes: obtaining a tooth model, wherein the tooth model is based on a tooth model obtained before, during, or after orthodontic treatment; obtaining thickness information of the orthodontic appliance in the region where at least one tooth is located based on the tooth model; segmenting the orthodontic appliance based on the thickness information to obtain multiple segment intervals; determining a first energy parameter based on the segment intervals, wherein the first energy parameter is used to characterize the relationship between the energy of the laser and the thickness to be cut; and cutting the area to be cut of the orthodontic appliance corresponding to the segment intervals based on the first energy parameter. This cutting method allows the laser energy to be adapted to the cutting requirements of different cutting thicknesses, which is beneficial to achieving precise energy control during the orthodontic appliance cutting process. Therefore, this cutting method has better dynamic performance and a higher cutting adaptation rate for orthodontic appliances with complex curved surfaces.

The invention discloses an efficient simulation method for collision between long ellipsoid particles and a wall surface based on discrete elements, and belongs to the technical field of gas-solid two-phase flow numerical simulation. The method comprises the steps that a universal long ellipsoid particle-wall surface collision elastic force model is established, and the model represents a universal function relation between elastic force and particle geometry, material attributes and kinematics state parameters; based on the elastic force model and the momentum theorem, constructing a particle-wall surface collision dynamic model; based on the kinetic equation, a discrete time method and a numerical integration algorithm are adopted, and force, speed and energy parameters, changing along with time, of the long ellipsoid particles and the wall face in the whole collision period are solved. According to the method, the analytic model is embedded into a discrete element simulation framework to replace calculation-intensive finite element solution, so that second-level efficient solution is realized while the calculation precision is ensured, and the calculation efficiency is remarkably improved.

The invention discloses a modern power grid efficient frequency spectrum and energy self-adaptive analysis method. The method comprises the following steps that power line signals used for electric energy metering are sampled in a power line; the method comprises the following steps: performing a series of analysis and processing on a power line signal by adopting a spectrum analysis algorithm, and decomposing the power line signal by utilizing a fast Fourier transform method, a self-adaptive dynamic iteration frequency domain analysis method and the like to obtain signal key information for power grid spectrum and power grid energy analysis and metering; a plurality of key power grid energy quality parameters are calculated by using a high-efficiency power grid energy analysis metering algorithm according to key information of a power line signal through high-efficiency power grid energy parameter detection algorithms such as a Hilbert filter method and a high-efficiency frequency domain effective value calculation and analysis method based on the Parseval theorem; the method is used for analyzing energy quality of power grid signals. According to the method, the problems of low calculation efficiency, limited calculation function and high calculation amount requirement in the existing power grid quality monitoring and energy metering technology are solved.

The invention belongs to the technical field of energy data monitoring visualization, and relates to a visual management method and system for real-time energy data, and the system collects energy parameters through a data collection module, carries out the data preprocessing through an edge device, and generates a multi-source data package; the data fusion module receives and uploads the multi-source data packet to a cloud control platform, the multi-source data packet is fused with traffic service data, standardized management is carried out, and platform-level fusion data assets are formed; the energy-carbon analysis module generates an energy consumption analysis report, a carbon emission accounting result and a three-dimensional digital twinborn scene based on the platform-level fusion data assets; the intelligent scheduling visualization module carries out collaborative optimization scheduling and generates a scheduling instruction and a panoramic visualization interface; and the comprehensive management and control module executes the optimal scheduling instruction and outputs a comprehensive management and control instruction, early warning information and a carbon asset decision report. According to the invention, the operation efficiency of visual management of real-time energy data can be effectively improved.

A radio network node, which may be a terrestrial node or a non-terrestrial node, may determine to implement network energy saving measures based on a determined energy parameter value being determined to violate a corresponding energy parameter criterion. The node may transmit to a user equipment a paging delegation indication indicative that, during a paging occasion delegation period, at least one lightly loaded source paging occasion associated with the user equipment is to be temporarily suspended and delegated to a target paging occasion that may not be associated with the user equipment. The node may sleep during a delegated source paging occasion and may broadcast a paging message directed to the user equipment via the target paging occasion. The user equipment may avoid waking up during the delegated source paging occasion and instead may monitor the target paging occasion for paging messages during the paging occasion delegation period.

This invention relates to the field of energy data management and control technology, and discloses a smart park energy data dynamic management and control system. The system's energy data acquisition module collects and preprocesses the operational data stream within the park in real time. An energy feature analysis module extracts multi-dimensional features from the data stream, identifying feature vectors such as peak load and steady-state operation. An event triggering engine generates energy management event signals based on feature vectors, threshold comparisons, and time-series pattern matching. A parameter node identification module analyzes the time series of event signals to locate key nodes such as equipment start-up / shutdown and load surges. An offset calculation module calculates the offset of energy parameters relative to historical benchmarks for key nodes. A similar parameter derivation module derives a set of transferable parameters, including general control parameters and scenario-adaptive parameters, based on the offsets and historical database. A dynamic control module uses this set to make real-time adjustments to the park's energy allocation, such as power distribution and equipment scheduling.

The invention discloses an operation optimization method and system of a multi-energy complementary system and a storage medium. The method comprises the following steps: establishing a mapping relation between an energy conversion equipment control strategy and the total energy supply power of a system through a convolutional neural network; an objective function containing economic cost, environmental penalty and load deviation is constructed in combination with outsourcing energy price, load demand and carbon transaction cost, and an intelligent optimization algorithm is adopted to iteratively solve an optimal control strategy; the method comprises the following steps: defining an association relationship between an outsourcing energy parameter (a first entity) and an equipment control strategy (a second entity), extracting and generating triple data through an entity relationship, constructing a knowledge graph database, and realizing quick response from real-time parameter input to an optimal strategy. According to the method, the energy cost and carbon emission are remarkably reduced, the system response speed and the renewable energy consumption capability are improved, and the method is suitable for intelligent scheduling of the park-level multi-energy complementary system.

The application discloses a rock damage strength identification and instability discrimination method based on energy rate response difference, obtains rock elastic strain energy and dissipation strain energy through axial stress-strain curve data, calculates rock sample elastic energy rate and dissipation energy rate data through differential calculation of energy parameters on strain, and determines the damage strength value of the rock sample through the peak value of the energy rate response difference curve of the elastic energy rate and the dissipation energy rate difference, so that the instability state of the rock material can be judged. The method does not need to monitor additional data, is simple to operate, has a unique identification point, is good in objectivity, and is relatively accurate and reliable in identification result.

A radio network node, which may be a terrestrial node or a non-terrestrial node, may determine to implement network energy saving measures based on a determined energy parameter value being determined to violate a corresponding energy parameter criterion. The node may transmit to a user equipment a paging delegation indication indicative that, during a paging occasion delegation period, at least one lightly loaded source paging occasion associated with the user equipment is to be temporarily suspended and delegated to a target paging occasion that may not be associated with the user equipment. The node may sleep during a delegated source paging occasion and may broadcast a paging message directed to the user equipment via the target paging occasion. The user equipment may avoid waking up during the delegated source paging occasion and instead may monitor the target paging occasion for paging messages during the paging occasion delegation period.

This invention relates to an energy management method, apparatus, and display screen for a display screen. The energy management method of this application is applied to a display control system. The method includes: analyzing and processing energy parameters acquired by an energy harvester to obtain an energy intensity curve representing intensity changes and stability; processing the energy intensity curve based on a preset energy assessment model to obtain collectable energy data and controlling the energy harvester to collect the energy; the display control system can process the power supply requirements of the display module and the energy conversion information fed back by the energy conversion memory to generate energy allocation instructions to control the energy conversion memory to rationally allocate the converted and stored energy. This method can convert renewable resources into electrical energy, achieving self-powering of the display screen, which is more energy-efficient and environmentally friendly, while also eliminating dependence on the power grid and expanding the application scenarios of the display screen.

The invention belongs to the technical field of intelligent grinding and polishing control, and particularly discloses a layered grinding and polishing process method and system for repairing the damaged surface of an aircraft radome. Comprising the following steps: determining repair boundaries and thickness changes of coatings with different functions in a damaged area of the aircraft radome; a layered grinding and polishing track is planned, and initial process parameters are set for each coating; layered grinding and polishing operation is executed, mechanical parameters, surface parameters and energy parameters are collected in real time in the grinding and polishing process, and an improved layered grinding and polishing contact force model is constructed to conduct local compensation control on grinding and polishing contact force; evaluating the surface quality, the repair integrity and the interlayer consistency of the current grinding and polishing layer in real time; and constructing a multi-target quality evaluation and process parameter collaborative optimization mechanism, and dynamically adjusting subsequent grinding and polishing process parameters according to the deviation between a real-time evaluation result and a preset quality target. According to the method, the material removal accuracy is remarkably improved, the problem of excessive grinding or non-uniform removal is avoided, and it is ensured that the quality of the repaired coating meets the standard.

This application provides a method and system for determining energy parameters, relating to the field of energy metering technology, to solve the problem of inaccurate energy parameter determination. The method includes: acquiring Raman scattered light and transmitted interference light generated by the interaction of a frequency-repetition-locked dual-comb pulse sequence with the energy to be measured; locking the frequency of the dual-comb pulse sequence to a standard frequency defined by a quantum frequency reference; determining the composition parameters of the energy to be measured based on the Raman scattered light, and determining the refractive index parameters of the energy to be measured based on the transmitted interference light; and determining the density parameters and / or flow rate parameters of the energy to be measured based on the composition parameters and refractive index parameters.

This invention discloses a method and system for evaluating rolls based on energy-adjustable shot peening, belonging to the field of metal material processing and testing. The method includes: selecting at least two test areas on the roll surface to be evaluated; characterizing the initial state of the test areas, measuring at least their initial surface roughness and initial surface hardness; using energy-adjustable shot peening equipment to perform shot peening treatment on different test areas with at least two different preset shot peening energy parameters; measuring the response parameters of each test area after shot peening treatment; comparing and analyzing the response parameters of each test area under the same shot peening energy, calculating their standard deviation or range; evaluating the surface microstructure uniformity of the roll based on the standard deviation or range; and predicting the rolling performance of the roll based on the absolute value and uniformity of the response parameters. This invention can simulate actual rolling conditions, achieving quantitative, rapid, and reliable evaluation of the surface microstructure uniformity of the roll, and scientifically predicting rolling performance and service life.

The application discloses a method and device for testing and inverting rock block crushing energy consumption, and the method comprises the following steps: establishing a three-dimensional numerical calculation model for a rock block sample; performing impact crushing experiment on the rock block sample to obtain experimental particle size grading distribution data; inputting the fracture energy parameters corresponding to the particle size of the crushed rock block sample into the three-dimensional numerical calculation model for numerical inversion to obtain numerical particle size grading distribution data; judging whether the numerical particle size grading distribution data and the experimental particle size grading distribution data are within an error interval; if not, dynamically adjusting the fracture energy parameters input into the three-dimensional numerical calculation model for optimization, outputting the optimized numerical particle size grading distribution data, and repeating the judgment operation; and if yes, outputting the corresponding fracture energy parameters. The application further provides a device based on the method, and the fracture energy parameters of the rock block sample are dynamically adjusted and determined by combining experimental data and numerical inversion.

The present application relates to the technical field of lithium battery manufacturing, and particularly relates to a cylindrical battery point bottom welding hidden false welding identification method based on resistance and energy parameter correlation analysis, comprising the following steps: S100: under normal production conditions, welding process data of a preset number of historical qualified samples of cylindrical battery point bottom welding is collected, wherein the welding process data at least includes an average resistance value and welding energy of each welding; S200: based on the welding process data of the historical qualified samples, joint distribution feature analysis is performed on the average resistance value and the welding energy, and a two-dimensional joint qualified area of the average resistance value and the welding energy is established; the present application directly reflects the average resistance value and the energy value of total heat input of the welding interface state through correlation analysis, can capture abnormal coupling modes that cannot be found by single parameter independent monitoring, and thus effectively identifies hidden false welding caused by workpiece state abnormalities.

The application discloses a kind of quality flow meter measurement methods based on anti-vibration interference, comprising the following steps: S1, construct vibration coupling measurement timing data;S2, vibration energy parameter is projected to measurement sensitive subspace, obtain effective vibration energy parameter;S3, form history input window and prediction window;S4, the structured measurement timing input improves Chronos model, introduces error inversion mechanism and mechanism constraint mechanism, outputs mass flow measurement error component;S5, directional compensation is executed, and the mass flow measurement result after anti-vibration correction is obtained;S6, calculate double-scale JS divergence, and generate the mass flow measurement result after correction based on improved Dual-CONET algorithm;S7, the mass flow measurement result after anti-vibration interference suppression is output as final measurement value.The application realizes the accurate suppression and dynamic correction of mass flow measurement error under complex vibration condition.

The invention provides a rolling parameter design method and device for a thin-specification wide and thick plate and electronic equipment, and relates to the technical field of wide and thick plate rolling, and the method comprises the steps that a temperature correction model is built according to rolling process parameters of the thin-specification wide and thick plate based on the Fourier law, the temperature correction model is used for representing the change of the strip steel temperature at each position at different moments; discretization solving is conducted on the temperature correction model through a finite difference method, and the actual rolling temperature of the strip steel is obtained; the flattening contact arc length, the material deformation resistance and the stress state coefficient are obtained according to the actual rolling temperature of the strip steel; rolling force energy parameters are obtained through the flattening contact arc length, the material deformation resistance and the stress state coefficient, and the rolling force energy parameters comprise unit rolling force and total rolling force. According to the method, the accuracy of rolling force energy parameter calculation is improved, and the unit rolling force and the total rolling force which better meet actual requirements are obtained.

The invention relates to the technical field of heat pump systems, and discloses a recoverable energy dynamic scheduling method and device for a heat pump system, and the method comprises the steps: obtaining heat energy use parameters of a user in each heat use scene; target operation parameters of the heat pump system are determined, and recoverable energy parameters corresponding to the heat pump system are analyzed according to the heat energy use parameters in all the heat use scenes and the target operation parameters of the heat pump system; and according to the recoverable energy parameters corresponding to the heat pump system, scheduling operation is conducted on recoverable energy corresponding to the heat pump system. It can be seen that the recoverable energy parameters corresponding to the heat pump system can be analyzed intelligently, the recoverable energy corresponding to the heat pump system can be scheduled, in this way, accurate matching between the recoverable energy and the heat using scene is improved, the utilization rate of the recoverable energy can be improved, the heat energy waste situation can be reduced, and the energy utilization rate of the heat pump system can be increased. And therefore, the energy scheduling suitability and the energy-saving potential of the heat pump system can be improved.

This invention relates to a device for controlling at least one of a plurality of electrical loads that are being supplied by at least one renewable energy generator and / or an electrical mains supply. The device comprises an energy sensor for measuring an energy parameter, wherein the energy parameter equates to a value representative of the amount of energy output by the energy sensor, the energy parameter of the energy sensor being directly proportional to the output of the at least one renewable energy generator; a controller means for determining the amount of electrical loads that can be connected or disconnected on the basis of the measured energy parameter; a switching device for connecting and disconnecting the at least one electrical load based on an output of the controller means; and wherein as the energy parameter varies the output of the controller means varies to connect and disconnect electrical loads.

The invention discloses a catalyst performance parameter determination method and device. The method comprises the following steps: splitting a target chemical reaction process into a plurality of chemical reaction stages, and the plurality of chemical reaction stages comprise a first-class reaction stage and a second-class reaction stage; acquiring a relationship between the concentration of each element in the element reaction of the first reaction stage and an energy parameter, and determining the energy parameter of the element reaction in the first reaction stage based on the relationship between the concentration of each element in the element reaction of the first reaction stage and the energy parameter; obtaining the relationship between the concentration of each element in the element reaction of the second type of reaction stage and a preset descriptor; determining an energy parameter of the primitive reaction in the second reaction stage according to a relationship between the concentration of each element in the primitive reaction in the second reaction stage and a preset descriptor; and determining the activation energy of the target chemical reaction process according to the energy parameter of the element reaction in the first reaction stage and the energy parameter of the element reaction in the second reaction stage.

A selecting step includes obtaining, based on multiple sets, each including an air conditioning energy parameter and a comfort parameter, which have been obtained with respect to multiple samples, respectively, a plurality of device parameters that satisfy both a first condition and a second condition. The first condition is a condition that the comfort parameter be a value greater than a threshold value. The second condition is a condition that the air conditioning energy parameter be minimized within a range of the plurality of device parameters that satisfy the first condition.

The application discloses a modal parameter obtaining method, comprising the following steps: determining an initial resonance frequency and an initial time for a same resonance point according to a response diagram of an obtained vibration test signal, wherein the response diagram is a relationship diagram between time and frequency of the vibration test signal; determining a data segment corresponding to a preset time period according to the initial time and the preset time period, wherein the preset time period contains the initial time; obtaining a curve for representing time-varying characteristics of vibration based on the data segment, wherein the curve for representing time-varying characteristics of vibration is composed of energy parameters and time parameters corresponding to each small data segment; reading a rotating speed signal in an arbitrary time period, and obtaining modal parameters according to the curve for representing time-varying characteristics of vibration. The application can obtain higher identification precision when identifying modal parameters of a small-damping-ratio blade.

The present invention relates to a method for characterizing laser radiation (24) of a laser processing system (30). The method includes a) providing an aperture device (10) having a plurality of aperture openings (14) in a working plane (300) of the laser processing system (30) such that the aperture openings (14) extend within the working plane (300). The method further includes b) scanning the laser radiation (24) over the aperture device (10) along a scanning direction (200) parallel to the working plane (300) such that the laser radiation (24) at least partially sweeps across the aperture openings (14). The method further includes c) determining the energy of the laser radiation (24) transmitted through the aperture openings (14) during the scanning process, and d) determining the extent of the laser radiation (14) based on the energy transmitted through the first aperture opening (14a) of the plurality of aperture openings (14) based on the laser radiation (24), and determining the energy parameter based on the energy transmitted through the second aperture opening (14b) of the plurality of aperture openings (14) based on the laser radiation (24). Here, the first aperture opening (14a) has a predetermined extent along the scanning direction (200), which is smaller than the average diameter of the laser radiation (24) in the working plane (300). Furthermore, the second aperture opening (14b) has an extent that is larger than the laser radiation (24) in the working plane (300) and is designed to transmit the laser radiation (24) substantially completely.

This invention discloses a MIMO channel estimation method based on an energy parameterized diffusion model, belonging to the field of wireless communication technology. The method includes the following steps: S1, collecting a channel training dataset for a MIMO wireless communication system; S2, constructing a generative prior network for the energy parameterized diffusion model; S3, training the energy parameterized diffusion model using the collected channel training dataset; S4, during the deployment phase, generating channel priors using the trained energy parameterized diffusion model; and employing iterative sampling based on the acceptance-rejection criterion for posterior inference to gradually recover channel estimates from randomly initialized noise vectors, selecting the result of the last iteration as the final channel estimate. This invention uses an energy parameterized diffusion model to explicitly model the channel prior distribution, improving the accuracy of MIMO channel estimation under low pilot overhead conditions and reducing computational overhead and estimation delay.