951 results about "Energy control" patented technology

The invention discloses an intelligent management system and method applied to a radio frequency energy output device, and belongs to the technical field of intelligent management of the radio frequency energy output device.An integrated sensor array is deployed on a radio frequency host and a hand tool electrode, and load voltage, output current, electrode temperature and tissue impedance are synchronously collected; a dynamic thermal impedance collaborative analysis model is constructed after time synchronization alignment, a three-dimensional thermal field simulation map is generated, and a thermal accumulation trend is predicted; a double-layer control framework is constructed, a first control layer generates a dynamic power adjustment rule base based on a preset treatment target and a safety threshold value and outputs an instruction, a second control layer receives the instruction and adjusts output parameters in real time, and a strategy is adjusted by combining a model prediction result in the execution process; meanwhile, the operation state is continuously monitored, a fault classification model is constructed for anomaly detection, a fault source is positioned, and a visual report is generated; and finally, constructing a mapping relation based on historical data, and generating an energy control scheme adapted to individualized requirements through iterative optimization.

The invention provides a stirring friction machining device and a welding, material adding and energy control method. The stirring friction machining device comprises a spinning sleeve and a rotation driving assembly, a rotating spinning screw is installed in the spinning sleeve, the rotation driving assembly drives the spinning screw to rotate through a cutter handle, and a stirring component is arranged at the bottom end of the spinning screw; the outer side of the spinning sleeve is coated with an electromagnetic resistance composite coil with adjustable current and frequency, a feeding port and / or a shredding port are / is formed in the side wall of the spinning sleeve, and variable magnetic field intensity is excited through the electromagnetic resistance composite coil according to the electromagnetic induction principle; according to the invention, accurate adjustment of heat input of a tool is realized by adjusting current in a staying starting stage, the problem that a feeding channel is blocked by hardening of materials after short staying during material adding or welding is solved, and composite stirring of metal in a deposition edge area is realized by adjusting the magnitude and frequency of the current as a dominant electromagnetic force. And meanwhile, the temperature distribution characteristics of the acting area are locally adjusted, the interface bonding strength is improved, and the residual stress of the additive component is relieved.

The invention relates to the technical field of wind energy control systems, and discloses a wind power energy-saving control method and system based on big data analysis, and the system comprises a data collection and transmission layer, a data storage and management layer, a data analysis and prediction layer, an intelligent control layer, and an equipment full life cycle management layer. The data acquisition and transmission layer further comprises multi-source data acquisition system construction, edge computing data preprocessing and data transmission network construction. According to the intelligent control strategy, by means of a distributed cooperative control algorithm and an intelligent variable-pitch variable-speed control algorithm, the fan blade angle, the rotating speed and the power output are dynamically adjusted according to the real-time meteorological data, the power grid load requirement and the fan running state, wind power output is smoother through accurate regulation and control, and the wind power output efficiency is improved. The impact on the power grid caused by power fluctuation is effectively reduced, the wind power acceptance capability of the power grid is remarkably improved, and the stability and reliability of the operation of the power grid are guaranteed.

The invention discloses an energy regulation and control method for a digital intelligent low-carbon building, and relates to the technical field of energy intelligent control, and the method comprises the following steps: constructing a multi-source feed-forward sensing link, unifying data collection timestamps, fusing people counting data, access control record data and wireless local area network probe data, and obtaining a multi-source feedback sensing link; passenger flow step fingerprints capable of reflecting instantaneous passenger flow change characteristics are generated and used for feedforward input of follow-up dynamic response; and performing crowded wave dynamic tracking based on passenger flow step fingerprints, analyzing a crowd movement track in combination with feedforward input, positioning a high-concentration air quality risk area, outputting a risk arrival time and intensity curve, and generating a feedforward ventilation time history input prediction link. According to the method, people flow changes are sensed and predicted through multi-source feedforward, a ventilation strategy is actively deployed, self-optimization is achieved in combination with feedback correction and closed-loop evaluation, and energy consumption is reduced and the service life of equipment is prolonged while air health and safety are guaranteed.

The invention discloses a self-adaptive full-band efficiency correction method for an LIBS (laser-induced breakdown spectroscopy). The method comprises the following steps: for each laser pulse, inputting collected spectral data into a trained physical information deep network to obtain a current plasma temperature; when the current plasma temperature is not in a preset ideal temperature interval, predicting by using a physical information deep network to obtain an optimal laser energy adjustment sequence; wherein energy adjustment is performed according to the optimal laser energy adjustment sequence, so that a future temperature sequence can be converged to a preset ideal temperature interval; controlling an energy controller of the laser to emit a next laser pulse according to the optimal laser energy adjustment sequence to obtain a stable plasma; and after the stable plasma is obtained, collecting target spectral data, and outputting a full-band efficiency calibration curve according to the target spectral data. And high-precision and high-robustness full-band efficiency correction can be realized in a complex and changeable real environment.

The invention belongs to the technical field of intelligent energy control, and particularly relates to an energy equipment control method based on regional people number distribution, which comprises the following steps: acquiring real-time people number distribution data, environmental parameter data, historical energy consumption data and historical people flow characteristic data, and predicting regional people number distribution data in different time periods; based on historical energy consumption data, historical people flow characteristic data, real-time people number distribution data and environmental parameter data, a dynamic energy demand model is constructed, regional people number distribution data in different time periods are combined, a people number density thermodynamic diagram is generated, regional energy equipment load change is predicted, and a regional energy demand model is established according to the load change and the people number density thermodynamic diagram. A differential control strategy is generated, and operation parameters of the energy equipment are dynamically adjusted; and regulating and controlling the energy equipment according to the differentiated control strategy, synchronously collecting regulated and controlled regional environment feedback data and equipment energy consumption data, and generating an energy efficiency evaluation report. Therefore, the problems of high response delay, limited parameter matching precision and the like in the prior art are solved.

An electric-thermal integrated energy control method is provided. The method comprises predicting renewable energy and multivariate loads in an integrated energy system based on a pretrained SA-PSO-BP neural network; constructing an objective function of the integrated energy system, and adding power network constraints and heat network constraints for optimal scheduling; and obtaining an optimal solution of the objective function by means of a SA-PSO algorithm based on prediction results of the renewable energy and the multivariate loads, and controlling the integrated energy system according to the optimal solution of the objective function; wherein, a training process of the SA-PSO-BP neural network comprises: training a BP neural network by means of a feature training set, and iterating and updating weights and thresholds in the BP neural network in the training process by means of the SA-PSO algorithm to obtain the SA-PSO-BP neural network.

A catheter system (100) for treating a treatment site (106) within or adjacent to a vessel wall (108A) of a blood vessel (108), or within or adjacent to a heart valve, includes an energy source (124) and a system controller (126). The energy source (124) generates a plurality of energy pulses. The system controller (126) includes a processor that controls the energy source (124). The system controller (126) is configured to implement an energy control algorithm to control both of (i) a pulse frequency of the plurality of energy pulses, and (ii) an energy level for each of the plurality of energy pulses that are generated by the energy source (124). As the pulse frequency of the plurality of energy pulses increases, the energy level for each of the plurality of energy pulses decreases.

The invention belongs to the technical field of laser welding, and discloses a multi-parameter cooperative control laser welding method and system.The method comprises the steps that a laser energy control model is established based on material strength-thickness-gap ternary coupling, and the output power of an optical fiber laser is controlled; coaxial three-layer gradient gas is adopted for protection of a welding area, preheating before welding and double-temperature-zone gradient annealing after welding are adopted, the output power of an optical fiber laser and the three-layer gradient gas protection flow are regulated and controlled in real time through combination of multiple sensors and a control algorithm, the temperature of a heat affected zone is monitored in real time, and a cooling nozzle is controlled for cooling. And continuous parameter optimization is achieved through machine learning, and multi-parameter control laser welding is achieved.

The invention discloses a source-grid-load-storage integrated coordinated management and control system for an intelligent micro-grid, and relates to the technical field of intelligent micro-grids and comprehensive energy regulation and control. The system comprises the following components: a multi-energy-flow data acquisition unit, a multi-energy-flow coupling modeling and optimizing unit, a multi-energy-flow gradient utilization execution unit, a mode self-adaptive switching unit and a main control unit, according to the invention, through a multi-energy flow coupling modeling and optimization unit, an electric-thermal-gas multi-energy flow coupling model comprising a heat supply network transmission loss calculation sub-model is constructed, a renewable energy consumption constraint sub-model is additionally arranged, and an improved hybrid particle swarm optimization algorithm is adopted to carry out dynamic optimization solution, so that an optimal scheduling strategy is generated; according to the strategy, the consumption rate of renewable energy sources is increased, electricity-heat gradient utilization and efficient configuration are achieved through a heat energy distribution priority regulation and control mechanism and efficiency optimization control of the waste heat recovery module, and dependence of heat loads on electric energy is remarkably reduced.

The invention relates to an energy management method and system for an intelligent micro display terminal. The method comprises the following steps: acquiring operation state parameters of the micro display terminal; inputting the operation state parameters into a preset energy consumption evaluation model, and calculating the operation state parameters based on the preset energy consumption evaluation model to obtain a current energy consumption level; calling a corresponding energy control strategy according to the current energy consumption level, and dynamically correcting execution parameters of the energy control strategy based on the state change of the environment where the micro display terminal is located and the user interaction behavior change to obtain a corrected energy control strategy; adjusting operation parameters of the micro display terminal according to the corrected energy control strategy; and acquiring response indexes of the micro display terminal after the operation parameters are adjusted, and feeding back the response indexes to a preset energy consumption evaluation model to optimize the decision process of the next round of energy control strategy. The method has the effect of improving the reliability of the equipment.

A meter socket adapter (MSA) for connecting a battery energy storage system (BESS) to a household microgrid through a meter combo load center. The MSA includes: a housing matching an electricity meter and a meter socket in the meter combo load center; a plurality of power conductors that connect among the electricity meter, the meter socket, and BESS; a meter interconnection device (MID) switch for connecting a utility grid or one or more distribution energy resource (DER) devices to supply power to household loads in the household microgrid; a MID driving circuit for driving the MID switch to close or open; and a thermal management circuit couple with a plurality of temperature sensors disposed at each high current connection point to prevent overheat.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a solar cell that generates energy in response to receiving light. The system includes an energy controller, which includes a processor and memory, that predicts an optimal time period for charging an energy storage unit based on information tracking discharging of the energy storage unit over time. The system includes trickle charging circuitry that provides the energy to the energy storage unit during the optimal time period, and the energy storage unit that stores the energy and discharges the energy to power at least one component, such as a vehicle propulsion mechanism.

The invention provides a common-antenna zero-power-consumption Internet of Things terminal energy management system based on radio frequency energy taking, which comprises a radio frequency antenna, a radio frequency energy taking module, a rectification energy storage module, a low-frequency wake-up module, a backscatter communication module and an MCU control unit, in the MCU control unit, a single-chip microcomputer controls the on-off of a power supply of a sensor through a sensor power supply control pin; a power supply of the sensor and a radio frequency switch of the backscatter communication module are switched on only in a wake-up state, and only power supply to a wake-up pin is reserved in the single chip microcomputer; through a three-layer architecture of energy capture, energy control and energy application, the terminal equipment is completely separated from battery dependence. The system constructs a closed-loop energy management system for energy collection, storage, scheduling and dormancy, the scheme is suitable for the field of passive Internet of Things with strict requirements on power consumption, cost and deployment flexibility, and a feasible solution is provided for an Internet of Things terminal.

The invention discloses a motion planning method for a heterogeneous robot, and relates to the technical field of robots. The method comprises the following steps: step 1, subspace definition and differential homeomorphic mapping establishment; step 2, dynamic situation field construction; step 3, geometric motion generation; and 4, controlling system energy. According to the method, universal adaptation of robot systems with different configurations can be realized, the algorithm reuse rate is greatly improved, the development cost is remarkably reduced, efficient obstacle avoidance can be realized in a dynamic environment, and the method has excellent real-time performance and wide applicability and robustness.

The invention relates to the technical field of ship energy control, and provides an energy efficiency optimization scheduling method for a marine SOFC heat recovery system, and the method comprises the steps: dynamically distributing an SOFC waste heat path through a heat energy distribution optimization algorithm according to the type of a current ship operation condition, and for a high-load condition, taking a propulsion power demand as a priority target, and carrying out the optimal scheduling of the SOFC waste heat path; the SOFC waste heat is preferentially guided into a ship power position to assist in propelling; for a medium load working condition, SOFC waste heat is distributed to auxiliary propulsion and life service energy according to a preset proportion, and the preset proportion is finely adjusted according to real-time requirements; and for a low-load working condition, the SOFC waste heat is preferentially introduced into life service energy, and the distribution sequence and proportion are dynamically adjusted according to environmental parameters. A machine learning classification model matched with a multi-threshold rule is introduced for working condition recognition, and recognition of different working conditions is achieved; by constructing a dynamic heat energy scheduling mechanism, dynamic optimal allocation of SOFC waste heat among different energy utilization paths is achieved, and the flexibility and adaptability of heat energy utilization are improved.

The invention provides a whole bus-based agile satellite platform and a construction method thereof. The whole bus-based agile satellite platform comprises a bus, an integrated electronic computer, a power supply controller, a data server and subsystems, the bus comprises a satellite control bus, a satellite power bus and a high-speed information bus; a comprehensive electronic computer serves as a control center management satellite control bus, a power supply controller serves as an energy control center management satellite power bus, and a data server serves as a data interaction center management high-speed information bus. Each subsystem of the satellite platform carries out interaction between a remote control instruction and telemetering data through a control bus, carries out energy supply and instruction pulse output through a power bus, and carries out mass data distribution and interaction through a high-speed information bus. According to the invention, a satellite platform realizes satellite interface generalization and standardization by using a full-bus design, platform single-machine rapid integration and whole-satellite efficient test are supported, the supported load type can be flexibly configured, and the method has agility and engineering value.

The invention provides a modular multilevel converter synchronous control method and system based on capacitor voltage, and the method comprises the steps: controlling an outer ring through the capacitor voltage based on a capacitor voltage average per unit value and a capacitor voltage instruction per unit value of a modular multilevel converter, calculating to obtain an active power instruction per unit value of the AC side of the modular multilevel converter; the active power instruction per unit value and the active power measurement per unit value of the AC side of the modular multilevel converter act on a power control inner ring, and synchronous control of the modular multilevel converter and a power grid is carried out; according to the method, the active power instruction per unit value of the AC side of the modular multilevel converter is calculated, so that the average capacitor voltage value of the sub-module as control feedback input does not have frequency doubling fluctuation in the subsequent synchronous control of the converter and the power grid, and an additional filter is not needed; the problem that the dynamic stability is poor due to the fact that a second-order low-pass filter needs to be additionally arranged when capacitor energy control is adopted is solved.

The application provides a weather load-based air conditioner energy control method and device and a storage medium, wherein the method comprises the following steps: saving PLC bottom layer instrument data, indoor temperature sensor data and public data to a cloud platform server; processing the above data, calculating first index data in units of predetermined working time, calculating an optimized load amount according to the first index data; selecting a date closest to a predicted load day comprehensive temperature T in historical operation data as a reference day, taking the load of the reference day as a reference day load; and adjusting air conditioner energy according to the optimized load amount through two preset optimization conditions and the reference day load. The application predicts future load change rules by mining the corresponding relationship among climate, indoor temperature and load change rules through historical data, so as to realize the purpose of precise energy supply and effectively avoid energy waste.

The invention discloses a distributed wind-solar complementary control system, method and device and a storage medium, and relates to the technical field of energy control. The data acquisition module adopts a sensor to acquire environment and operation data of wind power and photoelectric equipment per minute, and has a self-calibration function; the data analysis module predicts the power generation potential of wind energy and solar energy and evaluates the operation state of the equipment in combination with multiple types of information; the power distribution module dynamically distributes power through an algorithm according to an analysis result and a load demand; the communication module combines a wireless mode and a wired mode, and has a retransmission mechanism to guarantee communication stability and safety; the energy storage management module monitors parameters of the energy storage device, adopts an intelligent charging and discharging strategy, controls the charging and discharging process and ensures safe and efficient operation of the energy storage device, high-precision data collection guarantees accurate power generation prediction, power is reasonably distributed, the energy utilization rate is improved, faults are diagnosed in time, the downtime is shortened, dispatching is optimized, and the power generation efficiency is improved. Energy storage management is intelligent, and efficient utilization of renewable energy sources is promoted.

The invention provides an energy consumption optimization control method for an electric forklift. The method comprises the steps that multi-dimensional state parameters of a battery system, a driving system, a hydraulic system and a load system are collected in real time through a distributed sensing network; identifying a current operation stage based on the multi-mode sensing data, wherein the operation stage comprises no-load movement, load carrying, ramp driving, deceleration braking and fork lifting; and matching a control strategy from the optimization strategy library according to the characteristics of the operation stage, and dynamically adjusting execution parameters. Through fine management of the energy consumption of the electric forklift, the overall energy consumption is effectively reduced, the cruising ability and the operation efficiency of the forklift are improved, meanwhile, the adaptability of the forklift to different operation working conditions is improved, and it is ensured that the good energy consumption control effect and the good operation performance can be kept in various operation stages.

The invention relates to the technical field of high-temperature alloy additive manufacturing, and discloses a method for preparing a low-crack-sensitivity nickel-based high-temperature alloy through selective laser melting and application of the low-crack-sensitivity nickel-based high-temperature alloy. And selective laser melting forming treatment is conducted on the core-shell structure powder, specifically, regional laser scanning, interlayer pulse pressurization and in-situ heat treatment are conducted, and the low-crack-sensitivity nickel-based high-temperature alloy is obtained. According to the invention, synchronous regulation and control of microcrack closing and nanophase precipitation are realized through design of core-shell structure powder, laser regional dynamic energy control scanning of hot lines and interlayer in-situ densification. By means of the method, the SLM forming crack density can be reduced to be smaller than or equal to 0.1 mm / mm, the anisotropy index is smaller than or equal to 1.05, the post-treatment hot isostatic pressing link is omitted, and the method can be applied to thin-wall high-cycle fatigue parts such as aero-engine flame tubes and aerospace turbine pump rotors.

The invention discloses a thermal management control method for a hydraulic hybrid power system of a mining vehicle in order to solve the technical problem that multi-power-source coupling optimization and an energy control strategy are poor, and belongs to the technical field of underground vehicle thermal management. According to the method, data such as real-time temperature, pressure, methane concentration and hydraulic oil viscosity are collected through a sensor module; the reference temperature threshold value is dynamically adjusted according to the methane concentration to obtain the maximum allowable temperature, the opening degree of a flow valve of a cooling system is adjusted through a dynamic PID algorithm when the real-time temperature exceeds the limit, and PID parameters are adjusted in real time along with the viscosity of hydraulic oil; and after a data error is compensated by adopting a least square method, a specific enthalpy and a specific entropy of a key node are calculated by utilizing a ratio algorithm, a physical ratio is deduced, and an abnormal node is positioned. Through cooperative control of thermal management and hydraulic mixing, the energy efficiency and safety bottlenecks are overcome, the energy utilization efficiency is improved, and technical support is provided for low-carbon transportation of mines.

The present disclosure relates to a battery management system for energy control and, more specifically, to a battery management system for controlling energy by stably managing, using a new current management means, battery conditions that change due to internal or external factors during the charging and discharging process of a battery cell, so as to enable optimized charging and discharging of the battery cell.

The invention discloses a smart home energy control system based on energy consumption prediction. According to the invention, through the adaptive learning optimization module, dynamic precision of energy management and high adaptation of user demands are realized. The system can continuously learn user living habits and environment change rules, automatically recognize behavior modes such as morning lighting starting preference and summer air conditioner temperature setting intervals, and generate an equipment control strategy considering both economical efficiency and comfort in combination with real-time electricity price fluctuation and a power grid load state. Under the scene of sudden power grid demand response or extreme weather, the system can quickly adjust the operation priority of equipment, for example, the system can automatically delay starting of the washing machine in the electricity price peak period or preheat the indoor temperature before cold waves come, so that energy waste is avoided, and the living quality is maintained. According to the active control mode based on prediction, the passive response of a traditional smart home is converted into prospective optimization, and the energy use efficiency is remarkably improved.

The invention discloses a method for completing a battery pack bottom test based on a linear motor ejection impact ball head, and the method comprises the steps: placing a to-be-tested battery pack on a battery pack bottom ball strike test bench, and enabling a power device of a bottom impact test device to drive the impact ball head of the battery pack bottom ball strike test to impact the battery pack from the bottom of the to-be-tested battery pack; the power device is a linear motor, the impact ball head is installed at the head of the linear motor, the impact ball head is driven by the linear motor, the battery pack is impacted from the bottom of the battery pack according to the impact force and the impact mode required by the bottom ball strike test of the battery pack, and the bottom ball strike test of the battery pack to be tested is carried out. According to the invention, an impact ball head driving mode of a battery pack bottom ball impact test is changed into a linear motor driving mode so as to determine the speed and the energy impact direction designated position, and compared with the existing spring, pneumatic and other emission modes in the industry, the energy control precision is higher, the repeatability is good, the adjustment and control are convenient, and the operation is simple.

The invention provides a novel energy storage equipment multi-machine parallel energy control method and system, and relates to the technical field of energy storage control. According to the technical scheme provided by the invention, the switching task is generated by responding to the energy control instructions of the energy storage equipment in different modes, the estimated duration is calculated in combination with the operation parameters of the energy storage equipment, then the scheduling moment is generated, and the switching task is issued to the energy storage equipment at the proper scheduling moment to be executed. Therefore, the energy storage devices in different modes can be accurately scheduled according to the respective operation characteristics, and the corresponding switching operation is synchronously executed, so that the parallel synchronous control of a plurality of energy storage devices can be realized, and the energy storage requirement of a user on the mass parallel access of the multi-mode energy storage devices is met.

The invention discloses an energy control system and method for ship application. The system comprises a high-voltage main loop control module, a data acquisition module, an intelligent control module, an expansion and protection module, a multi-stage power electronic conversion module and a heat dissipation module. The high-voltage main loop control module comprises a high-voltage contactor, a fuse and a pre-charging circuit; the data acquisition module comprises a current sensor, a temperature sensor and a battery management system interface; the intelligent control module comprises a BMS module control and communication unit and is used for executing an energy optimization algorithm with the purposes of minimizing energy consumption and maximizing efficiency and interacting with an upper energy management system. The expansion and protection module comprises a high-voltage connector, a bus bar and a metal box body and is used for accessing the multi-energy module; the multi-stage power electronic conversion module is electrically connected to the high-voltage direct-current bus, and adjusts the duty ratio and the output power based on an energy optimization result; and the heat dissipation module is linked with the temperature sensor to dissipate heat of key components so as to maintain the operation temperature.

The invention discloses a buried pipe temperature response calculation method considering underground water seepage and ground temperature gradient, and belongs to the field of building environment and energy application engineering.The buried pipe temperature response calculation method comprises the steps that a shallow buried pipe heat exchanger is regarded as a finite long-line heat source model, and when underground water seepage passes, the shallow buried pipe heat exchanger is regarded as a finite long-line heat source seepage model; an energy control equation containing a soil heat conduction item, an underground water seepage convection item and a ground temperature gradient correlation item at the same time is established, and initial temperature distribution based on ground temperature gradient, ground surface fixed wall temperature and boundary conditions of an underground limited boundary are set; and finally, obtaining an analytical solution expression of the change of the temperature at any position of the underground soil along with the time through analytical solution. According to the method, the defect that a traditional model ignores key environmental factors is overcome, the heat transfer process of heat conduction and convection coupling can be accurately simulated, the accuracy of temperature field prediction and the reliability of long-term performance evaluation are remarkably improved, meanwhile, the complexity of numerical calculation is avoided, and the calculation efficiency is improved.

The invention discloses an energy control method and device for a flying vehicle, electronic equipment and a readable storage medium. A solar cell layer, a heat insulation layer and a thermoelectric power generation layer are sequentially integrated on the surface of the flying vehicle from top to bottom, and the method comprises the steps of obtaining first electric energy converted by the solar cell layer in response to the fact that the flying vehicle is located in a light environment, and obtaining second electric energy converted by the heat insulation layer in response to the fact that the temperature difference between the flying vehicle and the external environment is larger than a first preset temperature difference threshold value; acquiring second electric energy converted by the thermoelectric power generation layer; performing voltage conversion on the first electric energy to obtain first target electric energy, and performing voltage conversion on the second electric energy to obtain second target electric energy; charging a battery of the flying vehicle based on the first target electric energy and the second target electric energy; the electrical energy stored in the battery is distributed to the electrical load based on an energy consumption demand of the electrical load of the flying vehicle. The technical problem that the energy source of the flying vehicle is single is solved.