1667 results about "Control function" patented technology

The invention discloses a stamping part forming precision dynamic monitoring system based on digital twinning, and particularly relates to the field of general monitoring and adjusting systems, and the stamping part forming precision dynamic monitoring system comprises a digital twinning modeling module, a twinning simulation prediction module, an intelligent function coupling decision module and a physical execution closed loop feedback module; the digital twinning modeling module collects stamping related data through a multi-source sensor, and constructs and dynamically updates a geometric, physical and behavior three-level digital twinning body after preprocessing; the twinborn body simulation prediction module is based on three-stage twinborn bodies and is combined with parameter initialization, double-source simulation, result fusion and threshold decision to realize pre-judgment of forming precision; the intelligent function coupling decision-making module generates a targeted regulation and control instruction through a basic regulation and control function and a dynamic coupling mechanism according to the precision out-of-tolerance signal and the physical data; and the physical execution closed-loop feedback module completes instruction execution, state perception and model correction through iterative loop, realizes dynamic monitoring of the forming precision of the stamping part, and improves the forming precision stability and the production efficiency of the stamping part.

The invention discloses a grabbing posture generation method and system based on a multi-modal large model, and the method comprises the steps: carrying out the cross-modal matching of visual features and semantic features in the multi-modal large model when a voice instruction and an RGB image are inputted, and obtaining the position information of a control function code and a target object; when an RGB image with a hand drawing instruction is input, obtaining position information of a control function code, a target object and a path point; calculating the point cloud data of the target object according to the position information of the target object and the depth information, inputting the ideal point cloud of the target object into a target recognition network model after preprocessing, carrying out the grabbing region recognition of the point cloud of the target object region, outputting a region with high grabbing confidence, and mapping a real coordinate system; constructing a point cloud bounding box, and generating a grabbing posture candidate set; the grabbing posture with the highest quality is selected as the grabbing posture of the robot by calculating the grabbing posture candidate score; and executing a target grabbing task in combination with the control function code and the grabbing path.

The invention discloses a coordinated regulation and control system and method for dynamically testing pod environmental parameters, and the system comprises a multi-source sensor array which comprises a plurality of sensors used for collecting various environmental parameters in a pod in real time; the central controller is used for fusing sensor data and digital twinborn prediction information in real time through an FPGA + GPU heterogeneous architecture, dynamically generating and optimizing a regulation and control strategy based on a deep reinforcement learning algorithm, and synchronously coordinating an execution mechanism group to realize multi-physics field coupling control; the digital twinning interface is used for synchronizing the physical test environment and the bidirectional data flow of the digital twinning interface in real time, calculating and predicting the environment parameter evolution trend based on multi-physics field coupling, and feeding back closed-loop correction model parameters through reinforcement learning; and the execution mechanism group is used for adjusting the environmental parameters according to the control instruction. The system has the testing environment control functions of multi-parameter coordinated regulation and control, low-delay dynamic response and intelligent optimization capability, and the accuracy and testing efficiency of complex working condition simulation can be improved.

The invention provides a two-wheeled electric vehicle control system and method, and the system comprises a user side control platform which is used for detecting the operation of a user on a reverse turning handle, and generating a corresponding control instruction according to the pre-configured function setting; the communication module is used for bidirectionally transmitting instruction signals and vehicle state information in real time between the user end control platform and the vehicle end control system; and the vehicle end control system is used for receiving and analyzing the control instruction, judging the running or static state of the vehicle, executing kinetic energy recovery braking or driving mode switching in the running state, executing a reversing function or a self-defining function in the static state, and feeding back a vehicle execution result or vehicle state information through the communication module. The technical problems that in the prior art, the control function of a control terminal is single, the operation mode is not convenient enough, and the integration degree of the control terminal and vehicle functions is low are at least solved.

The invention provides a crane with vibration fatigue damage deduction and control functions, which comprises a first sample generation module used for generating a first sample data set taking a generated lifting point and load combination as input and taking the fatigue life cycle index as output; the second sample generation module is used for generating a second sample data set taking the control parameter as input and the lifting dynamic load coefficient as output; and the optimization module is used for carrying out load combination according to an output result of the second prediction model and then inputting the load combination result into the first prediction model, carrying out fatigue residual life deduction of the crane, optimizing control parameters and realizing control on fatigue damage of the crane. According to the method, the influence degree of the dynamic load effect on the fatigue life can be deduced, a fatigue damage control strategy is given, the control parameters matched with the deduction result are fed back to the physical entity, regulation, control, improvement and upgrading of the physical entity are guided, fatigue damage delay and control of the crane are achieved, and the method has important engineering value.

The invention discloses an NAND Flash bad block management method and system based on artificial intelligence, and belongs to the technical field of solid-state storage, the method comprises the following steps: S1, carrying out multi-dimensional data acquisition and preprocessing on a bad Page based on preset parameters and preset indexes; s2, inputting the preprocessed multi-dimensional data into a space-time diagram convolutional network model, and outputting the failure probability of each Page; and S3, according to the failure probability obtained in the step S2, a hierarchical isolation strategy is determined, and then error correction code dynamic loading and preventive data migration are carried out. Actual measurement shows that more than 85% of normal Pages can be recycled in a Block with a single bad page, and the effective capacity is improved by 10 times compared with that of a traditional scheme; the overall service life of the chip is prolonged by about 30% by reducing the discarding of the whole chip caused by local damaged pages. The method also has a real-time risk management and control function, the prediction accuracy of the AI model to a potential risk area reaches 92%, and the secondary failure rate is reduced by 70% compared with a static isolation scheme.

The invention discloses an array antenna phase-only real-time beam scanning and side lobe control method based on machine learning. Firstly, array geometry, scanning angles and minor lobe indexes are set; and then, array element excitation phases meeting requirements are rapidly synthesized by using a phase-only fast Fourier FFT (Fast Fourier Transform) algorithm. Constructing a training data set by taking the scanning angle and the minor lobe index as input and the corresponding phase distribution as output; training a neural network by using the data set to obtain a real-time prediction model from initial excitation distribution to accurate excitation distribution; and according to a target expected directional diagram scanning angle and a sidelobe feature, inputting the scanning angle and the sidelobe feature into a neural network to predict and obtain an array element excitation phase so as to realize a real-time phase-only beam and sidelobe control function. Input dimensions are reduced by extracting key features of a directional diagram, data generation is accelerated by means of FFT, real-time performance and precision are both considered, and the method is suitable for fast beam scheduling tasks of various array antennas.

The invention relates to the technical field of iron wire electrogalvanizing passivation monitoring, and discloses an iron wire electrogalvanizing passivation intelligent monitoring system with self-adaptive coating thickness control, and the system comprises a coating parameter analysis module which can analyze the matching degree of the coating thickness and the passivation effect according to the equipment operation state information, and generates a parameter analysis parameter set; based on the parameter set, the passivation feature extraction module extracts a space feature value and a distribution variable quantity of a passivation film on the surface of the iron wire to generate an optimized parameter set; the thickness correlation modeling module analyzes the correlation between the coating thickness and the passivation characteristics and generates a dynamic regulation and control result; the abnormal intervention adjustment module extracts a real-time feature matching rate and the like to generate an intervention adjustment data set; and the dynamic feedback regulation and control module analyzes the linkage demand and generates a feedback data table. The system can monitor the iron wire electrogalvanizing passivation process in a self-adaptive mode, the coating thickness is accurately regulated and controlled, and the passivation effect stability and the production efficiency are improved.

The invention provides a training and examination robot system based on a multi-modal large model, equipment and a computer program product, and aims to accelerate training transformation and upgrading and improve coping ability as basic appeals, and based on regular training work of teams, training and examination robot, sensor acquisition equipment and big data platform three-terminal equipment. A multi-modal data acquisition layer for realizing real-time attitude detection and motion capture by using an edge calculation algorithm, a data processing and analysis layer for finishing real-time image processing through localized edge calculation in a network-free or power-free environment, and system control functions for finishing intelligent decision making, evaluation, error correction and the like are provided; an intelligent decision-making and control layer of a training subject rewriting decision-making mechanism is established, cross-modal collaborative learning middleware is utilized to realize modal representation consistency while training subject transposition evaluation is realized, training and assessment operations of the same subject of multiple persons or different subjects of multiple persons are supported, and the training and assessment efficiency is remarkably improved.

The invention provides an AI-based data cooling system with a self-adaptive regulation and control function, and relates to the technical field of data cooling, and the AI-based data cooling system comprises the following steps: collecting equipment operation parameters and operation environment parameters of database equipment; calculating a multi-dimensional load value of the equipment according to the standard operation parameters, and generating a heat dissipation strategy based on a preset AI customized model, the standard environment parameters and the multi-dimensional load of the equipment in combination with a preset temperature safety threshold; and the heat dissipation effect is judged, and the heat dissipation strategy is adjusted. According to the method, rapid closed-loop regulation and control are achieved through dynamic weight optimization and the BP neural network, CPU, memory and I / O multi-dimensional loads are accurately quantified, the temperature trend is pre-judged, and PUE and energy consumption of a data center are remarkably reduced by means of a hierarchical priority strategy; through an online learning model and execution deviation alarm and feedback optimization, manual intervention is reduced, the adaptability is improved, and the deployment cost is reduced through lightweight design.

The invention discloses a range extender power generation system and a control method, and relates to the technical field of power systems. The system comprises an energy storage module, a driving module, a range extender module and a control module, the control module combines model predictive control and reinforcement learning and optimizes energy distribution, so that the system can automatically select an optimal strategy according to different driving working conditions, the energy utilization efficiency is further improved, the total energy consumption is reduced, and the driving efficiency is improved. The efficient cooperative work of the internal combustion engine, the generator and the driving motor is realized; self-adaptive gear shifting control is carried out based on real-time vehicle working conditions, path prediction information and motor efficiency, and it is ensured that a driving motor always works in an efficient area. Besides, the system also has fault diagnosis and fault-tolerant control functions, can detect the performance deviation of the engine and the generator in real time, automatically enters a fault-tolerant mode when a fault occurs, and ensures that the vehicle can safely run to a preset place even under the fault condition by cutting off or adjusting the output of the engine.

The invention provides a smart home door and window control system, which is applied to the technical field of doors and windows, and realizes the combination of hardware and software of smart doors and windows through the integration of a door and window hardware structure and a control software structure. A signal acquisition module is arranged to be connected with an internal control end and an external port of the system to obtain user command information, door and window state information and external environment information; various standard data information is fused through the data processing module; and the data decision-making module executes weighted operation to generate control information, so that intelligent control on door and window hardware is realized. Therefore, the intelligent household door and window control system realizes the control function of intelligent electric door and window products and other whole-house intelligent household appliances, and has the advantages of unified communication protocol, realization of multi-source data fusion, improvement of control decision intelligence, enhancement of system security and privacy protection.

A system is provided for implementing trajectory analysis entry controls. A trajectory analysis entry control system is implemented in a vehicle, and supports remote and automatic entry control functions for the vehicle. For example the system triggers various automatic entry controls functions, such as remotely unlocking doors and / or a trunk of a vehicle, by tracking and analyzing a user's trajectory of movement while they are approaching the vehicle. A system includes a user identification device to identify whether a user is authorized to access the vehicle, such as a driver. The system also includes a trajectory tracking device that determines a trajectory of the user with respect to the vehicle. As the user's trajectory is determined to be approaching the vehicle, the trajectory tracking device further determines which entry point of the vehicle the user is approaching and automatically engages an automatic unlocking of that access point of the vehicle.

The invention relates to a monitoring method for prediction and early warning of hidden leakage of a concrete dam, and aims to solve the technical problem of lack of timely prediction and early warning of hidden leakage danger of the dam at present, and adopts the technical scheme that a long and short-term memory network model fused with an attention mechanism is constructed, and leakage data is modeled and predicted; an improved CUSUM change point detection algorithm is introduced, a sliding monitoring window and a residual threshold are set, an accumulated residual between a predicted value and a measured value is calculated, the accumulated residual is compared with the threshold after being processed by a control function, the leakage trend is recognized and early warned in advance, and a real-time meteorological sensitive factor is introduced, so that the leakage trend is accurately detected. The monitoring sensitivity is dynamically adjusted under extreme events such as rainstorm and earthquake, and the response capability to the sudden leakage risk is improved. The early warning accuracy and timeliness of the dam leakage accident can be effectively improved, time is won for dangerous case disposal, and the life and property safety of people is guaranteed.

The invention relates to the technical field of circuit breakers, in particular to a semi-solid circuit breaker with an intelligent regulation and control function based on a photovoltaic system, which comprises a first acquisition module, a second acquisition module and a control module, the filtering window is used for acquiring to-be-filtered electrical data of the photovoltaic system and the to-be-filtered electrical data by using the semi-solid-state circuit breaker; the second acquisition module is used for acquiring filtering data of the to-be-filtered electrical data; and the regulation and control module is used for regulating and controlling the photovoltaic system according to the filtering data. And the filtering process of the electrical data of the photovoltaic system acquired by the semi-solid circuit breaker is optimized, so that the quality of the filtering data can be improved, and the effect of subsequently regulating and controlling the photovoltaic system based on the filtering data can be ensured.

The embodiment of the invention provides a coupling network asynchronous dynamic intermittent safety control method and system, and the method comprises the steps: obtaining multiple attack signals comprising an injection attack signal and a replacement attack signal after building a dynamic model of a following network, a target network and a state error variable; and setting an intermittent controller according to the dynamic network model and the multiple attack signals, and setting a dynamic mechanism based on an exponential function to convert a state error variable into an interval control function. Wherein the interval control function is used for realizing security mean square synchronization control between the following network model and the target network model. According to the method, the asynchronous anti-attack intermittent dynamic cooperative control strategy oriented to the complex coupled network can be constructed based on an average intermittent control rate and dynamic event trigger threshold coupling method by utilizing a node self-adaptive dual spoofing attack probability model, and the problems of difficulty in multi-attack modeling and insufficient control strategy collaboration can be relieved.

The invention provides a compensation balance system and method of an electrodynamic transducer, and aims to solve the following problems in the prior art: a traditional electrodynamic sound source transducer needs to realize large-volume displacement in a low-frequency application scene, but the flexibility of an elastic suspension support of the traditional electrodynamic sound source transducer is insufficient to bear hydrostatic pressure; meanwhile, traditional passive and active compensation modes have challenges in the aspects of delay and stability. In order to solve the problems, the compensation balance system and method of the electrodynamic transducer mainly comprise an underwater acoustic transducer, a low-pressure middle cabin and a high-pressure gas cylinder, and a system self-checking function, a transducer piston position balance control function and a transducer fuzzy self-adaptive control function are integrated. The defects in the prior art are effectively overcome, and balance between the inner cavity of the transducer and the external hydrostatic pressure can be rapidly achieved. In addition, the control process is further simplified by determining the target control quantity, and the overall performance of the system is improved.

The invention discloses a high-precision temperature control method and system for a photoetching machine, and belongs to the technical field of photoetching machine temperature control. The method comprises the following steps: acquiring a temperature array on the lower surface of a mask, heat flux density distribution of a bearing surface of an exposure table and a hot pressure difference signal of an air floating layer, carrying out feature coding, and constructing a high-dimensional thermal coupling situation feature matrix; a dynamic thermal weight correlation map is generated based on the matrix, exposure key nodes serve as anchor points, and explicit modeling is conducted on nonlinear thermal paths among the nodes through a graph neural network; further calculating the spatial gradient change rate of the heat flux per unit area of the mask region according to the thermal weight map, and mapping the spatial gradient change rate to an exposure table temperature control array to generate a nonlinear control function curved surface; and dynamically adjusting power output and response delay parameters of the local heating unit according to the control function, so that dynamic thermal field equalization with nanoscale precision can be realized, thermal drift is effectively inhibited, and the photoetching imaging quality and the yield of an advanced process are improved.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention discloses an automatic die changing control system of a press machine. The automatic die changing control system comprises a programmable logic controller, electrical hardware electrically connected with the programmable logic controller and an execution component. The programmable logic controller is configured to achieve the control functions of sliding block die-filling height adjustment, balancer air pressure adjustment, die clamping device action, movable workbench operation and die identification number switching, and triggers at least two control functions to be executed in parallel in the die changing process. The programmable logic controller is connected with all electrical hardware and execution components through preset program logic so as to control starting, running and ending of the automatic die changing process in the whole process.

A device and a method for introducing a drone to an area of interest are presented. The delivery system may include a housing, a drone, either a timer or a receiver, a lock mechanism, and a biasing mechanism. The housing further includes a pair of parts with or without subparts. At least one sensor is attached to the drone. The timer or the receiver is secured to the housing and communicable with the lock mechanism to control function thereof. The lock mechanism is adapted to releasably secure the parts or the subparts. The drone is enclosed within the housing in a CLOSED configuration when the lock mechanism is locked. The biasing mechanism separates the parts or the subparts to an OPEN configuration when the lock mechanism is unlocked. The drone is introducible to the area of interest in the CLOSED configuration and separable from the housing in the OPEN configuration.

The invention discloses an indoor zero-blue-light healthy lighting system and method, and relates to the technical field of healthy lighting, and the method comprises the steps: firstly, determining lighting parameters and demands in combination with the vision of old people and a pension scene; zero blue light layered lighting hardware is constructed; integrating a plurality of sensors and a plurality of control functions to form an intelligent control module; then, self-adaptive illumination adjustment is achieved through multiple algorithms; and finally, applying the adjusted system to pension scene verification, and forming an adaptive scheme according to feedback fine tuning parameters. Through zero blue light layered lighting hardware and a multi-source perception fusion algorithm, the system adapts to the visual and behavior requirements of the elderly, adopts a pure LED light source to eliminate blue light hazards, achieves the cooperation of layered lighting and intelligent control, achieves the dynamic adjustment to meet precise lighting and reduce energy consumption, and also responds to the environment and behaviors in real time through various algorithms, maintains color temperature transition and zero blue light output, and achieves the intelligent control of the elderly. And the health value and experience are improved.

The invention discloses a dynamic simulation test verification method and system for a pumped storage unit monitoring system, and the method comprises the steps: building a high-dimensional system state matrix of a pumped storage unit based on the physical parameters and structural features of a hydraulic, mechanical and electrical system of the unit, carrying out the dimension reduction of the high-dimensional system state matrix, and obtaining a dynamic simulation test result of the pumped storage unit; a dynamic simulation model of unit multi-physics field coupling is obtained; constructing a multi-dimensional parameter space based on the parameter sensitivity coefficient and the working condition boundary condition of the dynamic simulation model, and calculating optimal test point distribution through a high-dimensional point flow diameter algorithm to obtain a test scene library; based on the dynamic simulation model and the test scene library, obtaining a real-time monitoring signal sequence conforming to a monitoring system communication protocol; and based on the real-time monitoring signal sequence, signal acquisition, logic judgment and alarm control functions of the monitoring system are tested through an automatic test script, and a performance evaluation result of the monitoring system is obtained. The test comprehensiveness and effectiveness of the pumped storage unit monitoring system are improved.

The embodiment of the invention relates to a distributed driving control method and device, equipment and a storage medium, and the method comprises the steps: determining an expected slip rate of a vehicle; establishing a three-degree-of-freedom model of the vehicle; selecting a sliding mode surface of sliding mode control based on the vehicle slip rate, the expected slip rate, the vehicle lateral speed, the expected lateral speed, the vehicle longitudinal speed and the expected longitudinal speed; and determining a control function of the sliding mode control based on the sliding mode surface, the three-degree-of-freedom model and the reaching law function of the sliding mode control, and controlling the vehicle based on the control function. Therefore, the situation of vehicle instability caused by vehicle slipping can be effectively avoided, a good control effect is achieved, and the control precision and the safety of the vehicle can be improved.

Capability storage circuitry 30, 32, 60, 34 stores at least one capability specifying a capability value and capability metadata indicative of constraints on valid use of the capability value. Capability checking circuitry 44 determines whether a capability-controlled operation to be performed by the processing circuitry with reference to a target capability is allowed, based on whether the capability-controlled operation satisfies the constraints indicated by the capability metadata of the target capability, and triggers an error handling response when the constraints are not satisfied. Micro-architectural control circuitry 40, 42, 23 controls a micro-architectural control function, other than determining whether the capability-controlled operation is allowed, depending on the capability metadata specified by a hint capability used to provide a hint to the micro-architectural control function.

The invention provides a novel model-free fast integration terminal sliding mode controller method for a permanent magnet synchronous motor based on an improved extended nonsingular terminal sliding mode disturbance observer, and the method is compared with a PI control method and a model-free sliding mode control method based on an extended sliding mode observer. The method can reduce the dependence of a controller on a specific mathematical model of a controlled system, is more suitable for nonlinear and strong coupling systems such as a permanent magnet synchronous motor, employs an improved extended nonsingular terminal sliding mode disturbance observer to estimate unknown total disturbance, and enhances the robustness and anti-interference capability of the method. The control method has high response speed and high control precision, and has a good fault-tolerant control function on the parameter perturbation of the motor, so that the permanent magnet synchronous motor can operate efficiently, stably and reliably under the parameter perturbation condition.

The present invention discloses a domino-type multi-stage interlocking power consumption management circuit, which belongs to the field of integrated circuit technology. It mainly solves the problem that traditional energy consumption management chips are difficult to adapt to fluctuations in process, voltage, and temperature, which may cause the problem of chip logic locking failure under special working conditions. The circuit includes a fuse logic generation circuit, a latch matrix, a back-end module, and a power sensing front end, and also includes a multi-stage timing interlocking circuit with a domino effect. The present invention optimizes the concept of power consumption management and locking timing, optimizes and manages power consumption in a multi-stage interlocking manner, abandons the control function of the enable signal, and performs adaptive sequential control in the power supply dimension. It is a supplementary power-on timing management method that ensures effective logic locking while adaptively reducing additional power consumption, and has positive practical significance and practical value.

The invention discloses an intelligent automatic control rotary evaporator, and belongs to the technical field of chemical instruments. An intelligent automatic control rotary evaporator comprises a bottom box and a heating pot, a rotary machine head is installed on the bottom box, a condenser and an evaporation bottle are installed on the rotary machine head, and the lower end of the condenser is connected with a collection bottle; precise adjustment of the height and the inclination angle of the evaporation bottle is achieved through the electric telescopic rod and the rotating shaft, and the assembly and disassembly process of components is simplified through the bottle retreating locking nut, the condensation installation nut and other structures; heating temperature control automation is realized by combining a temperature sensor and a control box, and constant-speed rotation of the evaporating flask is ensured through motor driving; the stability of the condenser is enhanced by means of a first adjusting rod and a fixing sleeve, and material adding in a vacuum environment is achieved by integrating a deflation charging valve and a vacuum extraction opening; the control box integrates a multi-module control function, supports the replacement of parts of different specifications, remarkably improves the adjustment convenience, operation efficiency, temperature control precision and experiment adaptability of equipment, and is high in automation degree.

The invention discloses a semiconductor device and a use method, the semiconductor device comprises a substrate, a storage function area and a control function area, and the substrate comprises a substrate, a buffer layer, a channel layer and a barrier layer which are stacked in sequence; the storage function region is arranged on one side, away from the substrate, of the barrier layer, the storage function region comprises a source electrode, a grid control electrode and a drain electrode which are arranged at intervals in the first direction, and the grid control electrode comprises a first cap layer, a first ohmic electrode and a grid electrode which are stacked in the thickness direction of the substrate; the first cap layer and the barrier layer are arranged in a contact mode, the first cap layer is acceptor type doping, and the first ohmic electrode and the grid electrode are arranged in an insulated mode; the control function area is arranged on the side, away from the substrate, of the barrier layer and comprises a first electrode and a second electrode which are arranged at intervals in the first direction, the first electrode is electrically connected with the source electrode, and the second electrode is electrically connected with the first ohmic electrode.