46 results about "Dynamic power control" patented technology

The invention relates to a dynamic power regulation and control method and system for an electric vehicle charging pile, and the method comprises the following steps: S1, based on the real-time operation data of a charging pile cluster, employing a multi-source information fusion technology, collecting a power grid voltage fluctuation signal through a Hall sensor disposed at a charging pile end, and combining with the battery charge state data transmitted by a vehicle-mounted BMS, and eliminating noise interference by using an improved Kalman filtering algorithm, and realizing multi-dimensional data fusion by using a D-S evidence theory to generate a multi-source working condition feature set. The method has the advantages that the power grid voltage fluctuation signal and the battery charge state data are integrated through the multi-source information fusion technology, the improved Kalman filtering algorithm is adopted to eliminate noise interference, multi-dimensional data fusion is achieved in combination with the D-S evidence theory, the integrity and reliability of working condition feature extraction are remarkably improved, and the working condition feature extraction efficiency is improved. And the LSTM-ARIMA hybrid prediction model is utilized to synchronously process the nonlinear features and the periodic rules.

The invention relates to the technical field of power allocation, and discloses a power allocation method and system for a liquid cooling charging pile, and the method comprises the steps: collecting the charging power data, liquid cooling temperature data, charging voltage data, charging current data and liquid cooling flow data of the liquid cooling charging pile, and carrying out the signal processing, obtaining a charging operation standard data set; performing non-uniform time delay characteristic analysis on the charging operation standard data set, and calculating time sequence correlation through a joint mutual information criterion to obtain charging power time characteristic data; inputting the charging power time characteristic data into a charging power prediction model for charging power prediction to obtain charging power prediction data; and performing proportional robust diffusion recursion operation on the charging power prediction data, and performing parameter optimization in combination with a hyperbolic cosine function to obtain a dynamic power control parameter. According to the invention, the robustness of power allocation is improved, and the power allocation of the liquid cooling charging pile is more accurate and efficient.

The invention discloses an intelligent cutting control method and system for blue laser, and the method comprises the steps: carrying out the time domain analysis of the power time sequence data of a blue laser in real time, and obtaining the power fluctuation data; matching the power fluctuation data with a preset defect feature model of the blue laser to determine the defect occurrence probability of the blue laser; under the condition that the defect occurrence probability is determined to be greater than a preset probability threshold value, according to the cutting parameters and the material parameters, determining an initial power compensation parameter and a kerf quality optimization parameter through a compensation parameter calculation model; performing multi-target iterative optimization on the initial power compensation parameter, the kerf quality optimization parameter and the power fluctuation data through a self-adaptive deviation adjustment algorithm to generate a dynamic power control signal; and adjusting the output power and the beam focusing position of the blue laser according to the dynamic power control signal so as to correct the cutting path of the blue laser in real time.

The invention provides a coal mine underground MR safety training system, which comprises an intrinsically safe MR head display device, a multi-mode communication center module, a roadway environment sensing unit, a virtual-real fusion training engine and an intelligent evaluation system, and is characterized in that the intrinsically safe MR head display device comprises an annular distributed antenna array and a wide bandgap semiconductor circuit; the antenna is embedded in an anti-collision beam of the mining helmet, and intrinsic safety is achieved through dynamic power control; the multi-mode communication central module forms a dual-channel redundant architecture by an industrial Ethernet interface and a mining wireless unit, is internally provided with a dynamic routing chip, and automatically switches communication modes according to methane concentration and dust detection values to ensure low-delay and high-reliability transmission; the roadway environment sensing unit integrates a geological radar and a micro-seismic monitoring device, constructs a three-dimensional dynamic geological model in real time, and continuously updates roof displacement data.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, an example of a process may include receiving, at a network device, reflection signals generated based on a plurality of sensing signals reflecting from a target object. The plurality of sensing signals may be configured in a plurality of resources, with each resource of the plurality of resources being associated with a different respective power level. The process may further include determining, at the network device, a power level of a resource associated with a reflection signal is an acceptable power level for performing sensing of the target object based on the power level meeting a predefined power level.

The invention discloses a power control method and device for an industrial forklift charger, and the method comprises the steps: obtaining industrial forklift charging demand data and LLC resonant topology characteristic parameters, and constructing an LLC resonant converter; on the basis of the working frequency range and the power density requirement, through a probability learning algorithm and a random agent model, a random agent model for multi-objective optimization of magnetic element parameters is formed, and a high-frequency low-loss magnetic element is obtained; a high-frequency low-loss magnetic element is integrated into an LLC resonant converter, a random neural control barrier function algorithm is realized, and dynamic power control is performed on a charging process; based on the real-time data, a data-driven hybrid prediction control strategy is realized, and a charging parameter optimization instruction is generated; and in combination with the battery charge and discharge characteristic data and the battery aging state evaluation model, battery state evaluation and charging parameter adaptive adjustment are realized. The problems that a traditional charger is insufficient in control precision, low in efficiency, short in battery life and the like in a complex industrial environment are solved.

The invention discloses an energy storage dynamic power control method, device and equipment, a medium and a product, and relates to the field of energy storage control. The method comprises the following steps: acquiring a photovoltaic output predicted value, a load demand predicted value and battery state parameters of each single battery in a battery pack in real time; determining a dynamic weight coefficient of each single battery according to the battery state parameters so as to obtain a consistency state score of each single battery; determining a difference value between the photovoltaic output predicted value and the load demand predicted value obtained in real time as a real-time total power demand; determining a charging and discharging power distribution value of each single battery according to the consistency state score and the total power demand; and if the deviation between the actual output power of any single battery and the charging and discharging power distribution value is greater than a preset deviation threshold, obtaining the current battery state parameter of each single battery, and dynamically adjusting power distribution. According to the invention, triple optimization of prolonging the service life of the battery, photovoltaic efficient consumption and reliable load power supply can be realized.

The invention discloses a distributed power supply-based control method, system, equipment and medium, and relates to the technical field of distributed power supply control, and the method comprises the steps: collecting and preprocessing the real-time data of a distributed power supply, training a prediction model to optimize parameters, obtaining a load demand and power generation capability estimation, and adjusting the power based on a prediction result. Distributing active power according to a total load and a power contribution factor; setting a target power factor to calculate reactive power; monitoring voltage and load changes of a power grid in real time; dynamically selecting and adjusting a reactive power control strategy; and visualizing the running state and backing up the data to a database. Through closed-loop cooperation of data prediction, dynamic power control, value-oriented intelligent operation and maintenance and visual management, the stability, electric energy quality, operation and maintenance economy and management efficiency of the distributed power supply system are comprehensively improved.

The invention relates to the technical field of pressure feedback, and discloses a rice steaming vehicle energy-saving control method based on pressure feedback, pressure sensing is realized through heterogeneous layout of multiple types of piezoresistive, piezoelectric and capacitive sensors and a weighted fusion algorithm, and the detection precision is improved in combination with a temperature drift compensation mechanism; the dynamic power control module triggers mode switching according to pressure interval division and hysteresis adjustment, and power dynamic distribution is achieved through graded regulation and control of an enhanced set of electric heating tubes and pulse interval self-adaptive calculation. The leakage detection compensation module triggers graded power compensation based on voiceprint spectrum analysis, and synchronously links the deformation of the sealing mechanism to suppress leakage; the rice seed identification module adopts a high-resolution image acquisition and LBP-GLCM feature fusion technology, and is combined with an improved ResNet network to realize accurate rice seed identification, so that the problems of low pressure detection precision, leakage response lag and large energy consumption redundancy of a traditional rice steaming vehicle are solved, and the control precision of the steaming process and the operation safety of equipment are remarkably improved.

The invention discloses an intelligent regulation and control method for signal strength of communication terminal equipment, which relates to the technical field of intelligent control and optimization of the communication terminal equipment and comprises the following steps: a strategy generation terminal inputs a channel interference suppression coefficient alpha, a spectrum efficiency optimization coefficient beta, a link stability coefficient gamma and a behavior correction factor epsilon into a self-adaptive regulation and control decision model; outputting a dynamic power regulation index delta; and the execution control terminal adjusts the bias voltage of the radio frequency front-end power amplifier according to the dynamic power regulation index delta. According to the method, the adaptive regulation and control decision model is constructed through the strategy generation terminal, the channel interference suppression coefficient alpha, the spectrum efficiency optimization coefficient beta, the link stability coefficient gamma and the behavior correction factor epsilon are input into the adaptive regulation and control decision model, the dynamic power regulation and control index delta is output, and multi-factor collaborative intelligent regulation and control decision is realized. The defect that traditional static threshold regulation and control cannot adapt to a dynamic scene is avoided, and a regulation and control strategy better meets actual service and environment requirements.

The invention relates to a dynamic power control method and system for a storage and charging all-in-one machine, and the method comprises the following steps: data collection and monitoring: collecting and analyzing key parameters in real time through multi-source data fusion; dynamic safety threshold calculation: dynamically calculating a safety operation threshold of each subsystem based on real-time data, and ensuring that the system operates in an optimal state; multi-objective optimization control is carried out, an intelligent algorithm is adopted, and an optimal balance point is found among battery safety, power grid stability and charging efficiency; according to a fault processing and redundancy mechanism, a multi-layer fault response system is established, and the safety and continuity of the system under the abnormal working condition are ensured; according to the energy efficiency management and strategy optimization, long-term performance improvement and economical efficiency optimization are achieved based on a data closed loop, and the problem that potential safety hazards are caused due to the fact that a traditional storage and charging all-in-one machine system neglects the common influence of multiple factors such as SOC, temperature and power grid loads is solved.

The invention discloses a feedback control system of an ultrasonic flaw detector, and relates to the technical field of ultrasonic nondestructive detection.The system comprises a double-frequency transmitting module, a dynamic power control module, a signal acquisition module, a signal processing module and a feedback control module.The control system of the ultrasonic flaw detector adopts a double-frequency differential resonance detection method; two kinds of ultrasonic waves with specific frequency difference are emitted, the resonance effect at the defect is utilized to enhance echo signal characteristics, a double-frequency difference algorithm is matched, frequency deviation and amplitude change information of the defect can be accurately extracted, different types of defects can be effectively distinguished, and meanwhile, a dynamic power control mechanism can be used for controlling the detection accuracy according to the thickness, the structure and the material parameters of a detected object. The transmitting power of the double-frequency ultrasonic waves is adjusted in real time, it is ensured that the ultrasonic waves can reach the defect position in the optimal energy state under different working conditions, the resonance effect is enhanced, and therefore the system can achieve high-precision detection on tiny defects.

The invention relates to the technical field of new energy, in particular to a new energy station dynamic power control method and system based on an energy storage system, and the method comprises the steps: dividing the energy storage system into a quick response unit, a medium-speed adjustment unit and a slow migration unit; based on the intraday power gap curve and the state information of the energy storage system, determining a target output power curve of each intraday scheduling period of a slow migration unit and a medium-speed adjustment unit in the energy storage system; controlling power output of the slow migration unit and the medium-speed regulation unit according to a target output power curve; and monitoring fluctuation data of new energy output in real time, and triggering a quick response unit in the energy storage system to execute power compensation according to the fluctuation data. According to the invention, the energy storage system is divided into the quick response unit, the medium-speed regulation unit and the slow migration unit which are respectively used for power regulation of different time scales, so that cooperative control of multiple time scales is realized, and the response efficiency and the resource utilization rate of the energy storage system are improved.

The invention provides a signal optimization method and system for wireless transmission equipment, and relates to the technical field of wireless communication, and the method comprises the steps: constructing a movement track prediction model, and carrying out the prediction processing of communication state parameters through the movement track prediction model, and obtaining a speed sequence and a position track; performing conjugate gradient optimization and dynamic step length adjustment on the speed sequence, and further performing dynamic phase compensation on the position trajectory by the optimized and adjusted speed sequence to obtain a trajectory compensation parameter; sparse compressed sensing is carried out on communication signals of the wireless transmission equipment to obtain a sparse coefficient matrix, and a power distribution vector is determined based on the sparse coefficient matrix and the track compensation parameters; and determining a communication evaluation value according to the signal to interference plus noise ratio change and the power distribution vector of the wireless transmission equipment, and optimizing and updating the power control parameter of the wireless transmission equipment based on the communication evaluation value, thereby realizing the dynamic power control of the mobile Internet of Things terminal based on prediction compensation so as to improve the stability of signal optimization.

The present disclosure relates to a mobile agent in an RFID system with reduced power consumption and increased localization capabilities. In one aspect, a relay circuit attached to a mobility mechanism such as a drone or robot is in communication with an RFID reader and a backend host computer. The mobile agent moves around a warehouse, for instance, in which landmark RFID tags are arranged. The mobile agent can transmit with an adjustable power to identify a single landmark tag and associate it with object tags of one or more objects within the range of the mobile agent. The host computer can communicate with the mobile agent to instruct it to adjust its power when multiple landmark tags are detected.

In a method of operating a storage system, a plurality of storage devices enter a first power state in which respective power consumptions of a plurality of storage devices are less than a reference power consumption. The plurality of storage devices output a plurality of operating state signals representing operating states of the plurality of storage devices. When a power consumption increasing event occurs on at least one of the plurality of storage devices and when at least one of the plurality of operating state signals is changed, at least one of the plurality of storage devices receives a power state setting signal. Based on the power state setting signal, the first power state of at least one of the storage devices is changed such that the respective power consumptions of at least one of the plurality of storage devices is greater than or equal to the reference power consumption.

The invention discloses a dynamic power control method and system for an electric vehicle charging pile, and relates to the technical field of dynamic power control of charging piles, including primary regulation and secondary regulation of the charging piles; obtaining a plurality of groups of different regulation time scale arrays; applying the plurality of groups of different regulation time scale arrays to the primary regulation and the secondary regulation, respectively, and obtaining oscillation evaluation data of parameter changes and multi-pile energy distribution uniformity data during the primary regulation and the secondary regulation; and constructing a regulation time scale evaluation model based on SVR; and constructing a three-dimensional change curve of the time scale-power regulation effect, and performing curve analysis to obtain an improved regulation time scale array, which is applied to the power control of the charging piles; and solving the problem that the difference between the time scales of the two is not fully considered, resulting in a system response hysteresis and difficulty in quickly adapting to load fluctuations or other dynamic changes.

The invention discloses a multi-channel power conversion system based on partial discharge state feedback, and particularly relates to the field of power electronics, which comprises a multi-channel power conversion module, a partial discharge monitoring module, a signal processing and anti-interference module, a state evaluation and decision module, a dynamic power control module, a data communication and management module and a predictive maintenance module, partial discharge characteristic parameters are extracted by monitoring partial discharge signals of each power unit in an insulation state in real time, an insulation health state is dynamically evaluated according to the partial discharge characteristic parameters, a corresponding power control strategy is generated, and finally active distribution and optimization of power are achieved by adjusting working parameters of each power conversion unit. According to the multi-channel power conversion system, the crossing from passive protection to active health management is realized, the insulation aging process can be effectively inhibited, and the reliability, the service life and the operation economy of the multi-channel power conversion system are improved.

The invention discloses an intelligent microwave oven power control method and system for unfreezing, and the method comprises the steps: controlling a rotating disc to rotate a circle at a first constant speed when a microwave oven starts an unfreezing program at a first power, and monitoring the standing-wave ratio in a cavity of the microwave oven in real time at a preset sampling frequency; generating a standing-wave ratio sequence according to the standing-wave ratio value corresponding to each sampling point, and calculating a power adjustment coefficient corresponding to each turntable angle; generating a dynamic power control sequence corresponding to each turntable angle based on the power adjustment coefficient and a preset first power; and in the thawing stage, the turntable is controlled to rotate, and the corresponding power value in the dynamic power control sequence is called according to the real-time turntable angle to perform microwave emission, so that the problems of low energy utilization rate and unstable thawing effect caused by fixed power output and constant-speed rotation of the turntable are solved.

The application provides a multi-scene intelligent frequency converter based on double optimization control and a use method thereof, comprising: a communication module, used for acquiring environment information corresponding to a current scene; a control module, used for generating a control voltage by using intelligent energy utilization control strategy based on grid input frequency and environment information; a frequency conversion module, used for adjusting output frequency based on the control voltage and sending the output frequency to a load under the scene; and the control voltage is used for adjusting the output frequency of the frequency converter by dynamic power control and power ramp rate control on the frequency converter; the communication module is added to the existing frequency converter to acquire external environment information; the control module is designed to perform dynamic power control on the frequency converter based on external grid input frequency and power ramp rate control on the frequency converter based on environment information, realize interaction between the frequency converter and the load and a regional control center system, and change the status that the existing frequency converter can only realize single frequency conversion by using initial parameters.

The invention discloses a dynamic power control method, system and equipment for a communication module driven by a power supply state, and belongs to the field of power systems.The method comprises the steps that power parameters of the communication module are collected, the power parameters are analyzed through a trend recognition function, and when it is recognized that the power supply state is abnormal, a communication control instruction is generated and responded; a transmission time window is obtained according to task priorities, link bandwidths and energy storage parameters in the queue, data of all tasks are sequentially transmitted in the window according to the task priorities, and when all data communication is completed or the time window ends, a power control instruction is generated and responded; according to the method, the current energy storage parameter and the current power supply power are obtained, calculation is carried out through the adaptive mapping function, and the power mode is determined and switched to realize dynamic power control of the communication module, so that the operation robustness of the communication module in a voltage fluctuation scene can be remarkably enhanced by implementing the method, and the reliability of the communication module is improved. And timely transmission of key tasks and data is ensured.

Methods, systems, and devices are described that support techniques for wireless communications using multiple radio access technologies (RATs). Described techniques provide for dual-connectivity (DC), carrier aggregation, or both, in which different carriers are provided via different RATs. A multi-RAT DC configuration may include separate network entities that provide communications for different cell groups for different RATs, where dynamic power control may be implemented across RATs. Additionally, or alternatively, a multi-RAT carrier aggregation techniques may provide separate component carriers configured for carrier aggregation, where different component carriers that use different RATs. Combinations of DC and carrier aggregation may be provided, in which a cell group of a DC configuration may include multiple component carriers in a carrier aggregation scheme.

The invention discloses a low-cost dynamic power control temperature control system based on a PD protocol, which belongs to the technical field of x, and comprises a power supply module used for power supply work of the whole equipment, and a voltage regulation module comprising a PD protocol chip and an LDO (low dropout regulator), the PD protocol chip and the input end of the LDO (low dropout regulator) are connected with the power supply module through the power harness. The TEC module has the beneficial effects that accurate voltage regulation is realized at a power supply source through the PD protocol chip, continuous and stable direct-current voltage is loaded at two ends of the TEC module instead of a PWM (Pulse Width Modulation) high-power switching signal in the prior art, suppression is performed from the root of electromagnetic radiation generation, EMC rectification components such as an electromagnetic shielding cover, a common-mode inductor and a filter capacitor do not need to be additionally arranged, and the cost is reduced. Therefore, the harsh electromagnetic compatibility test requirement can be easily met, the compliance cost and the design period of the product are greatly reduced, and the long-standing EMC design difficulty in the industry is solved.

This specification provides a control method for an on-board charger, relating to the field of vehicle technology. The method involves acquiring the inlet temperature of the on-board charger configured in the vehicle; then determining the power mode of the on-board charger based on the inlet temperature, which indicates the available power of the on-board charger; further detecting the output power of the on-board charger and combining the output power and available power to determine the remaining power of the on-board charger; then comparing the remaining power with a preset threshold to obtain comparison information; and finally configuring cooling commands based on the comparison information to control the temperature and adjust the power mode of the on-board charger. This achieves dynamic power control of the on-board charger. By using the remaining power under different power modes for power adaptation, the target temperature and power mode of the on-board charger are dynamically adjusted, allowing the on-board charger to fully release its performance while saving energy.

Various example embodiments of a processing unit power control capability are presented herein. The processing unit power control capability may be configured to support dynamic power control within a processing unit that includes a set of data processing pipelines by dynamically controlling powering of the data processing pipelines. The processing unit power control capability may be configured to support dynamic power control within a processing unit that includes a set of data processing pipelines by dynamically controlling powering of the data processing pipelines based on a parameter indicative of an incoming data rate of data to the processing unit.

The invention discloses an Internet of Things node energy consumption optimization method and system based on edge computing, and relates to the technical field of edge computing. The method comprises the steps that an edge gateway is dynamically connected with Internet of Things nodes, and an energy consumption portrait is constructed; regularly collecting real-time states of nodes and to-be-executed task data; performing energy consumption balance optimization to generate an optimized data set; training a deep reinforcement learning decision maker by using the data set to generate a task unloading decision; and mapping the decision into a dynamic power control instruction, and jointly issuing the dynamic power control instruction to a node for execution to realize energy consumption optimization. The technical problems that the service life of nodes is shortened and the overall energy efficiency of a system is low due to the fact that energy consumption distribution of existing Internet of Things nodes is not uniform in a complex scene and task unloading and power control are lack of collaboration are solved, and self-adaptive joint optimization of task unloading and power control of the Internet of Things nodes is achieved through combination of edge calculation and deep reinforcement learning. Node energy consumption is balanced; the overall energy consumption is reduced; and the service life of the Internet of Things system is prolonged.

This utility model relates to the field of dehydration and drying technology, specifically to a microwave rapid dehydrator with multi-band dynamic power control. It includes a dehydration chamber, a control panel, and a multi-band microwave generator. The control panel is mounted on the side of the dehydration chamber, and the multi-band microwave generator is installed inside the chamber. A storage tray is installed at the bottom of the dehydration chamber, and the tray is mounted inside via a rotating shaft. A ring-shaped rack is located at the bottom of the tray, and a sealing cover is provided on the dehydration chamber. This utility model, through multi-band microwave dynamic control, adapts to the different dehydration stages of materials, improving microwave energy uniformity and moisture removal efficiency, as well as increasing dehydration efficiency and automation level, while reducing energy consumption.

The present disclosure provides a method of operating a memory system for dynamic power control and a memory system performing the method. In a method of operating a storage system, a plurality of storage devices enter a first power state in which power consumption of each of the plurality of storage devices is less than a reference power consumption. The plurality of storage devices output a plurality of operation state signals representing operation states of the plurality of storage devices. At least one of the plurality of storage devices receives a power state setting signal when a power consumption increase event occurs on the at least one of the plurality of storage devices, and when at least one of the plurality of operation state signals changes. Based on the power state setting signal, a first power state of at least one of the storage devices is changed such that a power consumption of each of the at least one of the plurality of storage devices is greater than or equal to a reference power consumption.

The invention provides a wireless transceiving device of a mobile communication terminal, and relates to the technical field of mobile communication. The wireless transmitting and receiving device of the mobile communication terminal comprises an antenna module, a radio frequency transmitting and receiving module, a baseband processing module, an interference suppression module, a power management module and a synchronous calibration module, the antenna module is electrically connected with the radio frequency transmitting and receiving module and used for receiving external wireless signals and transmitting the external wireless signals to the radio frequency transmitting and receiving module, and the baseband processing module is electrically connected with the baseband processing module. And the antenna module is used for receiving a to-be-transmitted signal output by the radio frequency transceiving module and radiating the to-be-transmitted signal to the outside, adopts a multi-band adaptive antenna array and comprises a plurality of radiating antennas, an antenna change-over switch and an impedance matching network. Through modular design, in combination with a self-adaptive interference suppression algorithm, a dynamic power control strategy and a precise channel compensation algorithm, and in combination with a quantitative calculation principle formula, efficient, stable and low-power-consumption transceiving of wireless signals is realized, the practicability and expandability of the device are improved, and the requirements of a new-generation mobile communication system are met.

To provide a method for processing downlink (DL) and uplink (UL) transmission configuration indicator (TCI) states.SOLUTION: A method in a cellular communication system is executed by a wireless device and a base station, and includes receiving downlink control information (DCI) having TCI field code points respectively associated with a downlink TCI state and an uplink TCI state.EFFECT: Dynamic power control for a maximum permissible exposure (MPE) is realized.SELECTED DRAWING: Figure 4