56 results about "Power mapping" patented technology

The invention discloses a computing power analysis method used in a cloud computing environment, a matching method and a computer device. The computing power analysis method used in the cloud computing environment comprises the steps that historical task operation data of different types of computing power nodes in a cloud computing platform are acquired, associated computing power portraits corresponding to the computing power nodes are generated through preprocessing, and then a target model is trained in combination with the historical task operation data to obtain a task-computing power mapping model; performing multi-dimensional dynamic and static analysis on a to-be-executed user calculation task to obtain task feature information; and analyzing the task feature information based on the task-computing power mapping model to obtain analysis information of each type of computing power nodes. According to the method, the required computing power resources and the analysis information of each type of computing power nodes can be accurately predicted according to the dynamic and static analysis feature information of the task before the task is executed, so that accurate computing power identification and intelligent matching are realized, the reasonability and efficiency of task allocation are improved, the resource waste rate is effectively reduced, and the adaptation accuracy in a multi-tenant environment is improved.

The invention relates to a computing power scheduling method and device based on resource affinity, equipment and a medium, and the method comprises the following steps: collecting the load state data of each computing node through a computing power node monitoring module; then demand analysis is carried out on a task submitted by a user, a task resource demand vector is generated, affinity matching is carried out on the task resource demand vector and node load data, and a resource affinity matching value is obtained; then analyzing the dependency relationship between the nodes, calculating a resource dependency coefficient, and weighting the resource dependency coefficient with the affinity matching value to obtain a comprehensive affinity value; sorting the comprehensive affinity values in a descending order to form a node priority sequence; and finally, computing power mapping scheduling is carried out based on the sequence, and a final scheduling scheme is generated. According to the method, the resource matching degree and the node cooperation relation are comprehensively considered, the scheduling efficiency and the resource utilization rate are improved, and the technical problems that the resource utilization rate is low, task response delay is high and loads among the nodes are uneven due to a traditional scheduling method are solved.

The invention provides a computing power scheduling method and device for model training, a computer storage medium and electronic equipment, and relates to the technical field of computers. Comprising the following steps: in response to a received training task request for a to-be-trained model, dividing the to-be-trained model into a plurality of first model subtasks; aiming at the target model subtask, determining a heterogeneous computing power unit of a target resource type corresponding to the target model subtask from a heterogeneous computing power architecture according to a pre-configured computing power mapping table; the computing power mapping table comprises a one-to-one correspondence relationship between each computing task and the heterogeneous computing power unit of the corresponding resource type; and determining a target heterogeneous computing power unit from heterogeneous computing power units of the target resource type of each computing node in the heterogeneous computing power architecture, and allocating the target model subtask to the target heterogeneous computing power unit, so as to execute the target model subtask based on the target heterogeneous computing power unit. The method can improve the model training efficiency and the accuracy of the model prediction result.

The invention relates to the technical field of electric scooters, in particular to a vehicle battery energy-saving control system of a high-strength impact-resistant scooter, which comprises an impact-resistant battery bin, a battery energy-saving control system and a battery energy-saving control system, wherein the impact-resistant battery bin comprises a multi-layer composite shell, a vibration sensor and a filling layer; the energy-saving control module comprises an intelligent detection unit, a central controller and a power optimizer; the power optimizer is used for adjusting the PWM duty ratio of the motor driving circuit according to the power mapping table; the energy recovery module is used for receiving brake force, a slope angle, a motor rotating speed and a vehicle mass estimation value, calculating an optimal recovery current through a Kalman filter, and injecting the recovery current into a battery pack by adopting a bidirectional Buck-Boost circuit; and the safety cooperative controller executes a hierarchical protection strategy, and a data bus is connected with each module to realize data interaction. Therefore, the problems that in the prior art, an electric scooter is insufficient in battery endurance, low in energy recovery efficiency, weak in impact resistance, poor in collaboration and the like are solved.

The invention relates to the technical field of distributed computing, and discloses a heavy truck charging load scheduling-oriented distributed energy intelligent matching method, which comprises the following steps of: establishing a charging service computing power mapping table at a scheduling node; maintaining a shadow counter in a local memory, extracting a pre-estimated computing power consumption value according to an event type and accumulating the pre-estimated computing power consumption value to the shadow counter, and executing linear numerical deduction on the shadow counter according to a reference logic subtraction rate so as to simulate a scheduling data throughput evolution process; adjusting a linear deduction rate parameter according to the deviation between the state feedback data and the numerical value of the shadow counter; and distributing the charging matching task to a charging station edge computing node of which the shadow counter value does not exceed a preset logic saturation threshold value. According to the invention, through an open-loop estimation and closed-loop calibration mechanism of a local logic state, an instantaneous congestion risk caused by physical feedback lag is eliminated; and logic state consistency and self-adaptive distribution of the whole network computing power resources are realized.

The invention provides a power determination method and device for a power battery, equipment and a storage medium, and the method comprises the steps: obtaining first state data of the power battery if a vehicle is in a driving working condition; determining first available power of the power battery according to the first state data and a power mapping table; determining second state data of the power battery according to the first state data, model parameters of the equivalent circuit corresponding to the power battery and the state data of the power battery; and performing correction processing on the first available power based on the second state data and a preset power correction parameter to obtain a first target available power of the power battery. The first available power is corrected through the second state data and the preset power correction parameter, and the influence of the second state data of the power battery in the actual use process on the maximum available power is considered, so that the obtained first target available power is close to the actual power capability of the power battery; and the safety and the dynamic property of vehicle driving are ensured.

The invention discloses a multi-mode intelligent sterilization and deodorization air purification method and system for a pet environment, and belongs to the technical field of smart home, and the method comprises the following steps: collecting pet motion data and predicted pollution event probability and position; matching and outputting a pollutant category label and identifying the pollutant concentration; calculating a concentration estimation value of the pollutant in the indoor space grid in a future period of time; calculating the starting intensity and the energy consumption estimation value of the module in the corresponding area; and mapping the purification strategy matrix into an equipment control instruction through a power mapping function, and broadcasting the equipment control instruction to a corresponding equipment node. By constructing a closed-loop control structure from perception recognition to prediction to control feedback, the timeliness, the adaptability and the energy efficiency ratio of the pet environment air purification system are remarkably improved.

The invention discloses a multi-source heterogeneous data fusion processing method and system, and relates to the technical field of data processing, and the method comprises the following specific steps: constructing a dynamic element path, distributing a computing power mapping channel, generating a modal feature vector, determining fusion weight distribution, and weighting the fusion feature vector. According to the method, multi-modal data nodes and heterogeneous nodes are collected, attribute analysis and standardization processing are carried out, a meta-path is constructed according to an initial association relationship between the nodes, all the nodes and the meta-path are included into a unified association framework of a graph database structure, meanwhile, interaction data between the nodes are monitored in real time to dynamically update the meta-path, and the dynamic updating of the meta-path is realized. Comprising the steps of expanding and adjusting a structure and newly adding or deleting nodes and edges, and can also capture cross-type node association features in meta-path expansion, form an association feature set with a modal identifier, effectively capture association relationships among different data sources, convert the association relationships into valuable feature information, and fully mine potential values of multi-source heterogeneous data.

This invention belongs to the technical field of embedded artificial intelligence and real-time system scheduling, and more specifically, relates to an adaptive load resource scheduling method and apparatus for embedded GPUs. The method involves offline acquisition and modeling of the platform's thermal throttling behavior, constructing DNN variants with different computational loads and accuracies, and profiling them under multiple frequency and TPC configurations to obtain a latency-power mapping table. In the online phase, based on task deadline margins and current temperature / frequency states, the method looks up the variant with the highest accuracy and meeting the deadline under the current thermal conditions and selects the corresponding TPC configuration from the profiling table. If necessary, phased online pruning and low-overhead switching are implemented, and the method collaborates with system-level DVFS / task mapping to optimize energy efficiency. This method can still guarantee the real-time performance of inference tasks under passive frequency reduction conditions and significantly reduce performance fluctuations caused by thermal throttling.

The invention relates to a full-automatic shutdown automatic control method and system based on a rice mill, and belongs to the technical field of rice mill control, and the method comprises the following steps: a, monitoring the feeding flow, and transmitting the feeding flow data to a control system; b, the control system dynamically adjusts the working power of a motor of the rice husking machine according to the feeding flow; c, continuously collecting torque data of the main shaft of the rice mill, and filtering the torque data through a Kalman filter; d, a shutdown module of the rice mill is triggered, and the shutdown module is made to operate; e, after the shutdown module is triggered, the shutdown module executes a graded deceleration strategy; step f, after the rice mill is stopped, automatically generating a parameter file through the Internet of Things module, and pushing the parameter file to the management terminal; the method has the beneficial effects that the flow change is automatically responded through multiple feeding flow intervals, the operation error is reduced, and the control performance is improved through continuous iteration of the flow-power mapping model along with production experience accumulation.

The application provides a vehicle battery power mapping relationship correction method, device, equipment and medium. The method comprises the following steps: obtaining an initial power mapping table; adjusting the vehicle battery to a test state of charge and obtaining a test power corresponding to the test state of charge based on the initial power mapping table; discharging the vehicle battery based on the test power to obtain a test result; and correcting the initial power mapping table based on the test result to obtain a corrected battery power mapping relationship. The method tests the discharge state of the vehicle according to the discharge power of the battery monomer, and corrects the battery power mapping relationship based on the test result, so that the corrected battery power mapping relationship is more suitable for the use scenario of the vehicle, and the battery management system can accurately provide the required maximum power under different states of charge and environmental temperature conditions, thereby improving the stability during the use of the vehicle and the user experience.

The invention discloses a multi-working-condition performance matching scaling fan blade design method based on power mapping, and relates to the field of fan blade design. Determining a Reynolds number under the scale of the scaled fan model to establish a low Reynolds number airfoil profile set, and performing performance evaluation on airfoils in the low Reynolds number airfoil profile set to select an optimal airfoil profile; setting thrust matching objective functions under various working conditions based on the selected optimal airfoil to perform parameter optimization, redefining a matching mechanism of the power performance of the scaled fan and the prototype to set a power mapping matching objective function, and integrating all the objective functions to generate a comprehensive optimization objective function to perform scaled fan blade parameter optimization. Blade parameter optimization is carried out by adopting an optimization algorithm with a new search position self-verification process; according to the multi-working-condition performance matching scaled fan blade design method based on power mapping, the power mapping mode and the multi-working-condition thrust performance matching mode are combined, and complete reproduction of scaled fan model aerodynamic performance on a standard prototype fan is achieved.

According to the electric vehicle charging load prediction method based on the Markov chain, the Markov chain and the improved Kalman filter are fused, and accurate prediction of the electric vehicle charging load is achieved. In the off-line stage, the charge state is discretized into 28 states based on historical data, 96 intra-day time slots are divided, a three-dimensional time-varying state transition matrix is constructed, filtering parameters are set, and state and power mapping is established, and in the on-line stage, charge state priori prediction is obtained through a Markov chain, real-time observation data are fused, and the real-time state of charge is obtained. Lawful optimal charge state distribution is obtained through Kalman filtering recursion and gradient projection method constraint optimization, finally, the distribution serves as a starting point, a transfer matrix is iterated to predict the future charge state, transfer path expected power is accumulated, and the total charging load is output. According to the method, the problems of error accumulation, poor robustness and the like of a traditional model are solved, and the method has high interpretability and engineering practicability.

The invention provides a vehicle battery power mapping relation correction method and device, equipment and a medium, and the method comprises the steps: obtaining an initial power mapping table, adjusting a vehicle battery to a test charge state, obtaining the corresponding test power based on the initial power mapping table, and setting the test power as the initial power mapping table; performing a discharge test on the whole vehicle battery based on the test power to obtain a test result, and correcting the initial power mapping table based on the test result to obtain a corrected battery power mapping relation; according to the method, the discharge state of the whole vehicle is tested according to the discharge power of the battery monomers, and the battery power mapping relation is corrected based on the test result, so that the corrected battery power mapping relation is more suitable for the use scene of the vehicle, and the battery power mapping relation is more suitable for the use scene of the vehicle under different charge states and environment temperature conditions. And the battery management system can accurately provide the required maximum power, so that the stability of the whole vehicle in the using process and the user experience are improved.

This application relates to a method, apparatus, device, storage medium, and program product for managing voltage fluctuations in a distribution network. The method includes: determining the reactive power compensation capacity of each compensation node based on a pre-established objective function of the distribution network system; the objective function aims to minimize voltage fluctuations and distribution network losses, and the compensation nodes are nodes in the distribution network system equipped with static var generators (SVAs); determining the required reactive power injection for each node in the distribution network system according to a preset voltage-power mapping matrix; determining the target state variables of each SVA in the distribution network system based on the reactive power compensation capacity of each compensation node and the required reactive power injection for each node; and correcting the voltage of each compensation node in the distribution network system based on the target state variables of each SVA, thereby managing voltage fluctuations in the distribution network system. Global optimization through the objective function, combined with local node adjustment using state variables, improves control response efficiency.

The present invention discloses a robust HDP energy management system and method for an extended-range loader. The system includes a control layer and an execution layer. The control layer includes an on-board data collector, a demand power mapping module, a vehicle system model, an optimization objective function construction module, a robust HDP energy management controller, an engine controller, and a BMS controller. The on-board data collector obtains the vehicle's system state parameters in real time. The demand power mapping module obtains the demand power of the drive motor. The vehicle system model uses the vehicle speed and battery SOC at the next moment as output. The robust HDP energy management controller calculates the power allocated to the engine and the power allocated to the battery pack. The engine controller is used to control the power output of the engine, and the BMS controller is used to control the power output of the battery pack. The present invention reduces the strategy's dependence on the analytical model, has good real-time performance, and the online update method of the vehicle system model improves the working condition adaptability and robustness of the energy management strategy.

The application discloses an intelligent arrangement method and system based on a variable frequency integrated machine, and relates to the technical field of variable frequency integrated machine arrangement. The method comprises the following steps: acquiring real-time operation data of each variable frequency integrated machine, establishing a virtual power image model, and performing power trend prediction; acquiring relevant operation rhythm sequence of each variable frequency integrated machine and inputting the sequence into a rhythm neural network model to generate a multi-machine rhythm coordination curve and perform rhythm adaptive control between the variable frequency integrated machines; collecting historical energy efficiency performance data of each variable frequency integrated machine, establishing an energy efficiency trust model, and generating a power distribution decision; dividing the operation cycle of each variable frequency integrated machine into time periods, calculating energy efficiency integral values of each time period, and performing time period priority adjustment; collecting external environment parameters and performing cross comparison with a power mapping matrix to calculate an environment disturbance coefficient and trigger a power mapping correction mechanism. The application realizes efficient, stable and robust intelligent arrangement and energy efficiency optimization of a variable frequency integrated machine cluster.

The invention relates to an electric quantity determination method and device, equipment, a storage medium and a chip, and the method comprises the steps: obtaining the current working parameters of a target battery, the current working parameters comprise the current battery voltage and the battery performance parameters, and the battery performance parameters comprise the current battery internal resistance and / or the current battery temperature; and determining the electric quantity based on M electric quantity mapping tables obtained by pre-modeling and the current working parameters to obtain the current battery electric quantity of the target battery, the electric quantity mapping tables including a one-to-one mapping relationship between the battery voltage and the battery electric quantity, and M being a positive integer. Therefore, the technical problem that the battery power cannot be accurately obtained according to the current battery voltage in the prior art can be solved.

The present application provides a signal transmission method, a first communication node, a second communication node, a storage medium, and a program product. The signal transmission method comprises: on the basis of a compression mode, determining power compression information and power mapping information corresponding to power allocation information, wherein the compression mode comprises a mode corresponding to a channel state, and the power compression information comprises information obtained after compression of the power allocation information; transmitting the power compression information and control signaling, wherein the control signaling comprises a compression parameter, and the compression parameter comprises a parameter associated with the compression of the power allocation information; on the basis of the power mapping information, superimposing a corresponding pilot symbol and a data symbol to obtain a power aliasing signal; and transmitting the power aliasing signal.

The application provides a mobile device computing power expansion method and system based on a computing power contribution protocol. The method is applied to at least one mobile device computing power expansion base configured with a computing power contribution protocol: after the base accesses a host device, the base sends a base resource contribution declaration message, so that the host device obtains hardware original computing power parameters of a built-in computing unit of the base and synchronously activates an internal task scheduler of the host device; the host device generates a virtual computing power mapping table based on the parameters, forms a virtual resource node by taking the base as a heterogeneous computing power, and constructs an aggregated computing power resource pool; in response to a triggered target computing task, the host device matches a base meeting the demand from the aggregated computing power resource pool by using the task scheduler and issues a task data packet, so that the base performs operation processing to generate task computing result data, and real-time task states are maintained in real time. The application realizes deep aggregation and elastic expansion of heterogeneous computing power, significantly improves the computing performance of the mobile device while guaranteeing data sovereignty.

This invention relates to the field of red light therapy chamber technology, specifically to a red light therapy chamber, a power control and adjustment method, and a system. The system includes a sensing module integrated within the red light therapy chamber, comprising a multispectral imaging component, a three-dimensional depth vision component, and an infrared thermal imaging component; an execution module comprising a high-density array of miniature LED light sources; and a control module connected to the sensing and execution modules, used to construct a three-dimensional digital model and a safe power mapping map based on multidimensional biological characteristics and geometric morphological data, and to dynamically adjust the output parameters of each LED unit in the execution module using a time-division multiplexing sampling mechanism and a hierarchical clustering driven architecture; through real-time perception of skin pigmentation and curvature characteristics via multispectral imaging and three-dimensional vision, dynamically modulating the power distribution of the LED array, and combining dose reciprocity law and pulse driving strategy, to achieve precise photobiological regulation of deep tissues while ensuring epidermal safety.

The invention discloses a permanent magnet synchronous motor field-weakening control method based on power regulation, and relates to the technical field of motor field-weakening control. The method comprises the following steps: acquiring three-phase current and performing coordinate system conversion; acquiring an actual rotating speed based on motor rotor position information; establishing a power-current mapping relation; constructing an active power ring and a reactive power ring; starting of a reactive power loop is controlled through a threshold range, alpha-beta-axis current reference given is calculated, dq-axis current reference given is obtained through conversion, and the permanent magnet synchronous motor is driven to operate through current loop control and PWM wave generation. A current reference track is obtained through a power mapping relation, a traditional voltage control loop is omitted, a PI controller is adopted to construct a power control loop, good compatibility and execution efficiency are achieved, and field weakening and position-free cooperative operation can be achieved.

The invention relates to the technical field of battery management for new energy vehicles, in particular to a battery management method and system for a new energy vehicle. The method comprises the following steps: obtaining the historical discharge power of a new energy vehicle control terminal and the historical driving environment state in a high-precision map, and carrying out filtering smoothing processing on the historical discharge power to obtain a power fluctuation smooth curve; secondly, according to a historical driving environment state, performing half-slope start-stop power mapping on the power fluctuation smooth curve to generate half-slope start-stop power mapping data, and obtaining an energy consumption progressive rule through energy consumption increment behavior learning; and finally, designing a battery residual endurance prediction framework according to an energy consumption progressive rule, and sending the battery residual endurance prediction framework to the new energy automobile terminal to execute battery management. According to the method, the battery management technology for the new energy automobile is optimized, so that the battery management technology for the new energy automobile is more perfect.

The invention discloses a circulating ball type electric power steering gear control method and system, and relates to the technical field of automobile steering control, and the method comprises the steps: constructing and storing a power mapping model, a safety threshold model and a signal transfer function model; each influence parameter numerical value is obtained in real time, and whether each influence parameter numerical value meets the numerical value range limitation of a safety threshold model is judged; if the limitation is met, a single control mode is executed; a first control loop confirms a target power-assisted current value based on a power-assisted mapping model and in combination with each influence parameter numerical value and then outputs the target power-assisted current value; the second control loop analyzes and obtains the corresponding control deviation rate of each control node in the first control loop under each influence parameter numerical value condition; the first control loop and the second control loop output a first power-assisted current value and a second power-assisted current value respectively, and then the first power-assisted current value or the second power-assisted current value is selected as a target power-assisted current value, and by means of the scheme, the steering power-assisted precision can be remarkably improved.

This application provides a signal transmission method, a first communication node, a second communication node, a storage medium, and a program product. The signal transmission method includes: determining power compression information and power mapping information corresponding to power allocation information according to a compression mode, wherein the compression mode includes a mode corresponding to the channel state, and the power compression information includes information obtained after compression of the power allocation information; transmitting the power compression information and control signaling, wherein the control signaling includes compression parameters, and the compression parameters include parameters associated with compressing the power allocation information; superimposing corresponding pilot symbols and data symbols based on the power mapping information to obtain a power aliasing signal; and transmitting the power aliasing signal.

The invention provides a switching control system and method based on the blind and a medium, and is applied to an intelligent glasses terminal, the method comprises the following steps: the intelligent glasses terminal constructs a computing power hierarchical structure comprising at least a first computing power layer and a second computing power layer with the computing power higher than that of the first computing power layer, and a user wears the intelligent glasses terminal, the intelligent glasses terminal collects external environment information and generates to-be-processed data. The external environment information at least comprises two different types of environment information. And identifying to-be-processed data, and determining the environmental information type to which the to-be-processed data belongs. And according to a preset environment type and a computing power mapping relationship, allocating different types of to-be-processed data to corresponding computing power layers for processing so as to obtain a processing result of each computing power layer. And the intelligent glasses terminal generates an output result for blind person navigation based on the processing result of each computing power layer, and outputs the output result to a user in a blind person perceptible manner. Through the method, the real-time performance is improved.

The invention relates to the technical field of millimeter wave radar power supply and power consumption detection, in particular to a low-cost millimeter wave radar power supply system electric quantity detection method. Filtering the battery voltage signal and realizing stable sampling; establishing a mapping model of voltage and electric quantity and performing dynamic judgment; according to the electric quantity grade, driving an indicating lamp to realize visual display and provide an undervoltage alarm; and the average energy consumption is reduced through a low-power-consumption detection mode. According to the method, an analog-to-digital conversion channel of a single-chip microcomputer is used for obtaining battery voltage after voltage division, and stable input is obtained by combining hardware filtering and a mode of removing abnormal values through multiple times of sampling; when the electric quantity is in different grades, the indicating lamp outputs according to different preset stroboscopic strategies, and the stroboscopic frequency corresponding to the low electric quantity grade is higher than the medium electric quantity grade; and when the under-voltage threshold is triggered, a control signal is output to link energy-saving or shutdown protection, so that the cost, the stability and the safety are considered.

The invention provides a range extender power generation strategy determination method, electronic equipment and a storage medium, and relates to the field of vehicles. The method comprises the steps of firstly obtaining a pre-constructed initial mapping relation; the initial mapping relation is a corresponding relation among the driving condition of the vehicle, the preset charge range and the power mapping table; the parameters in the initial mapping relation serve as test parameters, and the vehicle is tested under different driving working conditions; when the test is finished, acquiring a termination charge state and an initial charge state of the power battery under different driving working conditions; and taking a difference value between the termination charge state and the initial charge state in a preset range as a target power guarantee condition, and adjusting the generated power in the power mapping table to obtain a target mapping relation meeting the target power guarantee condition under each driving condition. And under any working condition, the generated power when the range extender supplies power to the power battery is determined according to the target mapping relation, so that accurate control on the generated power of the range extender can be realized, and the power protection effect of the power battery is further improved.

The invention discloses a household electrical appliance product energy scheduling process management method and system, relates to the technical field of household electrical appliances, and is used for reasonably scheduling electric power resources used by household electrical appliances. Comprising the following steps: establishing a power mapping relation between power characteristics of household appliances and process stages of the household appliances, and setting an interruption tolerance attribute for each process stage; during the operation period of the household appliance, acquiring the instantaneous power of the household appliance in real time, and judging the current process stage of the household appliance according to the instantaneous power and the power mapping relation; according to the current process stage of the household electrical appliance, the corresponding interruption tolerance attribute and the external energy condition, determining whether to issue an energy-saving scheduling instruction to the household electrical appliance; and after the energy-saving scheduling instruction is issued and removed, monitoring the power change of the household appliance, and correcting the interruption tolerance attribute of the process stage according to whether the power change accords with the normal operation mode of the process stage.

An apparatus for perform power control on a wireless communication device includes: a power estimator, a power meter, a calibration unit and a control unit. The power estimator is configured to generate an estimated power value by querying power mapping information according to scenario information. The power meter is configured to generate a measured power value based on measurement of power supplied to partial circuits of the wireless communication device. The calibration unit is coupled to the power estimator and the power meter and configured to generate a calibrated power value according to the estimated power and the measured power, and accordingly to update the power mapping information based on the calibrated power value and the scenario information. The control unit is coupled to the power estimator and configured to perform power control on the partial circuits of the wireless communication device according to the estimated power value.