95 results about "Energy parameter" patented technology

The invention discloses a switch cabinet discharge detection method and system, and relates to the technical field of power equipment state monitoring and fault diagnose.The light intensity attenuation rate and the vibration frequency are collected through a photonic crystal fiber, the concentration of decomposed gas is detected in combination with a Raman spectrum, and a space-time joint feature matrix is generated; performing space weight distribution on the space-time joint feature matrix based on the switch cabinet structure, and inputting the space weight to an RBF-SVM (Radial Basis Function-Support Vector Machine) to generate discharge type probability distribution; based on a high-frequency energy parameter and a gas decomposition concentration parameter in the spatio-temporal joint characteristic matrix, inputting the parameters into a multiple linear regression model, calculating an insulation aging index, and judging an insulation degradation grade according to a threshold value; the photonic crystal fiber is used for collecting the light intensity attenuation rate and the vibration frequency, the Raman spectrum is combined for detecting the decomposition gas concentration to generate the space-time joint characteristic matrix, synchronous monitoring of various physical and chemical parameters in the switch cabinet is achieved, and the accuracy and comprehensiveness of recognition of different types of discharge phenomena are improved.

The invention relates to the technical field of seismic source analysis and inversion, and discloses a seismic source analysis and inversion system based on mine earthquake monitoring, which is characterized in that energy parameters are generated through waveform feature extraction, mine earthquake event identification and accurate positioning are realized by using a space-time aggregation rule, and seismic source mechanism parameters are inverted in combination with a seismic wave initial motion parameter and amplitude relationship. On the basis, a regional stress field initial inversion model is constructed, a stress gradient is calculated in combination with a working face track and stratum information, a principal stress rotation composite index is determined through interlayer mechanical difference and a spatial change rate, and self-adaptive deformable partitions are generated. And finally, secondary stress field inversion is carried out in the subareas, the corrected maximum principal stress direction is output, high-precision dynamic analysis of a mine earthquake mechanism and stress distribution is realized, and the mine disaster prediction and early warning capability is remarkably improved.

The invention relates to the technical field of energy data management and control, and discloses a smart park energy data dynamic management and control system. The energy data acquisition module of the system acquires and preprocesses the operation data flow in the park in real time. The energy feature analysis module performs multi-dimensional feature extraction on the data stream, and identifies feature vectors such as peak load and steady-state operation. The event trigger engine generates an energy management event signal based on conditions such as feature vector and threshold comparison, timing pattern matching and the like. The parameter node identification module analyzes an event signal time sequence and positions key nodes such as equipment start and stop and load sudden change. The offset calculation module calculates the offset of the energy parameter relative to the historical reference for the key node. The similar parameter derivation module derives a migratable parameter set containing general control parameters and scene adaptive parameters according to the offset and a historical database. And the dynamic regulation and control module performs real-time adjustment such as power distribution and equipment scheduling on park energy distribution by using the set.

The invention relates to the technical field of laser measurement, in particular to a laser spot energy distribution measurement method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining a to-be-simulated laser beam, calling a pre-trained laser light path transmission model to carry out the beam propagation behavior simulation of the to-be-simulated laser beam, and obtaining a simulation spot energy distribution parameter; constructing an initial light beam energy distribution model based on the simulation light spot energy distribution parameters, then optimizing model parameters of the initial light beam energy distribution model by adopting a beetle beetle algorithm to obtain a target light beam energy distribution model, and then obtaining real-time laser light spot energy parameters; inputting the real-time laser spot energy parameters into the target light beam energy distribution model for fitting calculation to obtain real-time spot energy distribution parameters, and finally performing visualization processing on the simulation spot energy distribution parameters and the real-time spot energy distribution parameters to obtain visualization data. The invention aims to realize high-precision and real-time reconstruction of the actual light spot form of the micro laser.

The invention discloses a coagulation and bipolar coagulation integrated control system for a surgical operating instrument, and relates to the field of medical equipment. The system comprises an interface module, an energy detection module, a storage module, a load model matching module and an energy output control module. According to the system, an energy detection signal is output to a surgical instrument before energy output, and a real-time biological impedance spectrum of a target object is obtained; determining a target model from pre-stored electrical load models according to the impedance spectrum, and calling a corresponding adaptive energy output strategy; and in the energy output process, the impedance change of the target object is monitored, and the energy parameters are dynamically adjusted, so that the energy output is automatically stopped after the impedance change conforms to the preset stable target state. The self-adaptive precise energy control based on the real-time state of the tissue is realized, the problems of tissue carbonization, adhesion or incomplete coagulation and the like are effectively avoided, and the operation safety and effect are improved.

Devices, systems, methods, and processes for energy scoring of network paths are described herein. Various network paths, each including one or more hops, may be identified in a network. Presence of additional hops in each network path may be determined. From the identified and determined hops, a set of hops may be determined for energy score determination. For each selected hop, a set of energy parameters may be determined and one or more weights may be assigned to the determined set of energy parameters. A weight may correspond to a level of confidence in or an accuracy of the energy parameter determination. An energy score of each network path may be determined based on the determined set of energy parameters and the assigned one or more weights. One network path may be selected based on the energy scores and traffic may be routed along the selected network path.

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.

The invention relates to a computer-implemented method for assessing the feasibility of applications (A) on a control unit (4) of an agricultural vehicle (1) supplied with energy by an electrical energy storage device (5), the method comprising a determination (100) of a first energy parameter (P1) based on an energy value (EA) required to carry out an application (A), and of a second energy parameter (P2) based on an energy value (EB) that can be provided by the energy storage (5), a comparison (110) of the first (P1) and the second (P2) energy parameter, and a prevention (120) or permission (130) of the execution of the application (A) depending on the comparison (110).

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 discloses an MIMO channel estimation method based on an energy parameterization diffusion model, and belongs to the technical field of wireless communication. The method comprises the following steps: S1, collecting a channel training data set of the MIMO wireless communication system; s2, constructing a generative prior network of the energy parameterized diffusion model; s3, training an energy parameterization diffusion model by using the collected channel training data set; s4, in a deployment stage, generating channel prior by using the trained energy parameterization diffusion model; and adopting posteriori inference iterative sampling based on an acceptance-rejection criterion, gradually recovering a channel estimation value from the randomly initialized noise vector, and selecting a result of the last iteration as a final channel estimation value. According to the method, the channel prior distribution is explicitly modeled by using the energy parameterization diffusion model, so that the accuracy of MIMO channel estimation under the condition of low pilot frequency overhead is improved, and the calculation overhead and the estimation delay are reduced.

The present application relates to the field of vehicle technology, and in particular to a new energy vehicle workshop charging method, system, computer equipment and storage medium, the method comprising obtaining energy parameters and energy consumption parameters of each member in a group; obtaining the destination coordinates of each member, and obtaining the expected mileage of each member based on the destination coordinates and the charging location coordinates; obtaining the expected energy value of the member according to the expected mileage and energy consumption parameters of each member; obtaining the amount to be charged according to the expected energy value and the actual remaining amount of each vehicle to be charged, and obtaining the amount that can be externally charged according to the expected energy value and the actual remaining amount of each discharged vehicle; determining the actual amount of charge required for each vehicle to be charged; and matching at least one discharged vehicle from the group for the vehicle to be charged based on a comparison of the actual amount of charge and the amount that can be externally charged. The method of the present application can improve the problem in the prior art of inaccurate discharge estimation of discharged vehicles leading to inability to reach the destination.

The invention relates to the technical field of pumped storage, and discloses a pumped storage power station hydraulic energy parameter calculation method based on a large model thinking chain, which comprises the following steps: acquiring landform data, hydrogeological data, hydrological characteristic data and engineering constraint data of a pumped storage power station, and preprocessing the landform data, the hydrogeological data, the hydrological characteristic data and the engineering constraint data; performing feature extraction on the preprocessed data to obtain a terrain parameter set, a geological parameter set, a hydrological parameter set and a constraint parameter set; a stepped thinking chain is adopted to guide large model reasoning, and the parameter design range of preposed parameters is obtained; generating a plurality of groups of hydroenergy parameter schemes based on the parameter design range of the pre-parameters; and performing multi-dimensional evaluation on each group of water energy parameter schemes to obtain a comprehensive score, and determining a target water energy parameter scheme based on the comprehensive scores of the multiple groups of water energy parameter schemes. According to the method, large model reasoning is guided through a stepped thinking chain, the hydraulic energy parameters are accurately calculated under multi-dimensional complex factors such as landforms, hydrological characteristics and engineering constraints, and it is ensured that parameter design meets actual requirements.

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 a distributed energy storage scheduling method and device based on health state perception, terminal equipment and a storage medium, and relates to the field of energy storage system scheduling, and the method comprises the steps: obtaining performance parameters, real-time operation state parameters, energy storage parameters and energy storage cost characteristic parameters of each energy storage battery; determining a health state index according to the performance parameters and the real-time operation state parameters of the energy storage battery; according to the energy storage energy parameter, the energy storage cost characteristic parameter and the health state index of each energy storage battery, taking the minimum total cost as a target, constructing a centralized optimization model, and constructing a constraint condition; and solving the centralized optimization model through a distributed optimization algorithm to obtain the charge and discharge power and health state of each energy storage battery, and then carrying out charge and discharge control on each energy storage battery. By implementing the invention, the problem that the abrupt attenuation change in the operation of the battery is difficult to capture by depending on offline calibration or regular sampling inspection in the prior art can be solved, and the operation life of the energy storage system is prolonged.

The application relates to a data compression method, device and computer equipment. The method comprises the following steps: acquiring energy data of a node, environment data collected by the node and space-time information of the environment data; determining a space-time correlation coefficient of the environment data according to the space-time information; the space-time correlation coefficient is used for evaluating the redundancy degree of the environment data; determining a dynamic energy parameter of the node according to the energy data; the dynamic energy parameter is used for representing the residual energy of the node; and performing compression processing on the environment data according to the dynamic energy parameter and the space-time correlation coefficient. The data compression method comprehensively considers the energy state of the node and the space-time correlation of each data in the environment data, dynamically adjusts the compression strategy of the node, guarantees the effectiveness of the compressed data, improves the energy utilization rate of the node and reduces the energy loss of the node.

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.

The invention provides an SOFC system power operation adjusting method and a related product, and relates to the technical field of SOFC power generation. The method comprises the following steps: calculating energy variation of waste heat gas according to energy parameters and flow parameters of the waste heat gas of the SOFC system in real time; on the basis of the principle that the sum of the waste heat gas energy variation and the SOFC system output energy variation is equal to the SOFC system input power generation medium energy variation, the energy variation of an input power generation medium needed by the SOFC system is calculated according to the waste heat gas energy variation and the output energy variation; calculating the flow parameter variable quantity of the power generation medium required to be input according to the energy variable quantity of the power generation medium required to be input; and the flow of the power generation medium is adjusted according to the flow parameter variable quantity of the power generation medium needing to be input. According to the invention, on the basis of the principle of energy conservation, the energy conservation of the SOFC system is regulated and controlled, so that the temperature is ensured to be maintained in a proper range, and the stability of the output power of the SOFC system is further ensured.

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 provides an evaluation report generation method and system based on parameter management and model combination, and the method comprises the following steps: obtaining input data which comprises energy parameter data and model data; preset standard structure data tables are filled with the energy parameter data, a target database filled with data is obtained, and the number of the standard structure data tables is at least four; different modules in the model data are freely combined, and then energy parameters in the target database are called to obtain evaluated models of different energy combinations; and performing logic verification on the parameter dependency relationship in the evaluated model, and calculating and outputting economic evaluation results of different energy combinations after the verification succeeds. According to the invention, through database standardization design and a modularized model builder, the pain point of parameter management and combination in new energy economic evaluation is solved, innovativeness and practicability are achieved, and the evaluation efficiency and accuracy of complex energy projects are significantly improved.