87 results about "Real-time Control System" patented technology

The invention discloses a karst cave pile foundation grouting real-time control system based on optical fiber sensing and AI dynamic optimization, which relates to the field of pile foundation grouting real-time control and comprises a data acquisition module, an intelligent analysis module, a dynamic optimization module and a feedback control module. Normalized optical fiber input vectors and geological input vectors are obtained by analyzing karst cave optical fiber sensing data and geological parameter data, fusion is performed through a double-branch convolutional network, a grouting diffusion prediction model is constructed through a convolutional neural network, the slurry diffusion radius and the filling saturation are output, the model is constructed based on an isolated forest algorithm, and the grouting diffusion prediction model is constructed. The method comprises the following steps: calculating abnormal score early warning, establishing a mapping model, and dynamically adjusting the weight to obtain a Pareto optimal solution set adjusted in each construction stage, and a closed-loop control module can perform timely early warning adjustment on an accident according to the Pareto optimal solution set adjusted by real-time progress and rescreening parameters, can sense data in real time to form closed-loop feedback, and meets the requirements of engineering economy.

The invention provides a conduction oil boiler system optimization control method and system based on an adaptive algorithm. The method comprises the steps of data acquisition, data preprocessing, model training, parameter optimization and real-time control. The system comprises a sensor network, a data processing module, a model training module, an optimization calculation module and a control execution module. Boiler operation data are collected in real time through a sensor network, a combustion boiler natural gas dynamic prediction model and a circulating pump efficiency optimization model are constructed after preprocessing, parameters such as the number of boilers, the circulating pump frequency and the oil supply temperature are optimized through an adaptive differential evolution (ADE) algorithm, and finally closed-loop adjustment is achieved through a control execution module. According to the method, the data-driven modeling technology and the self-adaptive optimization capability are utilized, so that system parameters can quickly respond to process demand changes, the heat efficiency is remarkably improved, the energy consumption is reduced, the temperature fluctuation is reduced, the operation and maintenance cost is optimized, and the operation performance and the economical efficiency of the heat conduction oil boiler system are comprehensively improved.

The invention relates to the technical field of bridge construction equipment, and discloses a bridge fabrication machine walking attitude real-time control system based on multi-sensor fusion, and the system comprises a heterogeneous sensing and data collection module which obtains the kinematics and structural strain data of a bridge fabrication machine in real time; the offline modeling and calibration module is used for pre-establishing an initial dynamic model and a key mapping relation; the online state estimation and model self-adaption module is used for performing state estimation, model correction and disturbance identification and outputting comprehensive state information; the multi-constraint predictive control decision module is used for solving an optimization problem containing structural security constraints and generating an optimal control instruction; and the execution and feedback module analyzes the optimal control instruction to drive an execution mechanism and adjust the attitude to form a real-time closed loop. According to the invention, a scheme of fusing multi-source data and carrying out online adaptive model correction is adopted, and the fundamental defect that the control precision is obviously reduced along with time lapse and environment change due to the fact that the model is not matched with an actual system state is overcome.

The described techniques address issues related to compatibility and cost-effectiveness of in-vehicle networks. The described techniques may utilize security Ethernet-based protocols, for example, without the need to exchange separate key agreement messages and, consequently, meet the stringent starting time requirements for real-time control systems. Additionally, a membership tracking solution may be implemented in which each node within a membership group may request, or “challenge” other nodes with the same group to verify their online status, and this online status may be maintained over time. Finally, a transmission queue management process is described that deletes queued messages only when it is determined that every intended recipient node received the message, thereby providing atomicity. Retained queued messages may then be re-transmitted in accordance with a transmission schedule.

The invention relates to the field of communication signal processing, in particular to an air defense and disaster prevention early warning alarm real-time control system based on Beidou third-generation communication, which adopts a Daubechies wavelet family to perform five-layer discrete wavelet decomposition and decomposes the total delay of satellite signals into different scale coefficients. By accurately controlling the boundary scale, the system can effectively separate the ionosphere error from the troposphere error. And by inserting a zero value between filter coefficients, information loss caused by down-sampling operation is avoided. And aiming at different atmospheric error characteristics, the system adaptively selects an optimal wavelet basis function. A stable correction effect is kept under extreme weather conditions, and an efficient and practical air defense and disaster prevention real-time early warning control method is constructed.

The invention discloses a friction modeling method and system for a rope-driven parallel robot, and relates to the technical field of robot high-precision control, and the method comprises the steps: generating a composite excitation track covering the whole working space of the rope-driven parallel robot, and collecting joint friction force data when the rope-driven parallel robot moves; based on joint friction force data when the rope-driven parallel robot moves, a multiple-input-multiple-output SVGP friction coupling model is constructed; a variational inference and lightweight training strategy is adopted to optimize parameters of the multiple-input-multiple-output SVGP friction coupling model, and a trained multiple-input-multiple-output SVGP friction coupling model is obtained; and the trained model is deployed to a real-time control system of the rope-driven parallel robot, dynamic friction feedforward compensation is conducted on the rope-driven parallel robot, and the control precision of the robot can be improved.

The invention discloses a six-degree-of-freedom magnetic suspension workbench structure and a control method thereof, belongs to the technical field of magnetic suspension workbenches, and aims to solve the problems that the stroke of a traditional workbench is difficult to expand, the modeling precision is low, and the influence of a coil edge effect is large. The magnetic suspension workbench structurally comprises a stator capable of being spliced with a PCB coil array, a rotor of a symmetric two-dimensional Halbach permanent magnet array, a data processing module with an information fusion function and an H-bridge-containing driving and real-time control system. According to the control method, a high-precision electromagnetic force model is established, a magnetic field area is divided, a compensation coefficient is introduced to correct an end effect, a pseudo-inverse method based on least square is adopted to decouple and calculate the size of a driving current, and the saturation suppression of the current and the dynamic gating of the coil are realized in combination with a current calculation result; the method can be applied to the fields of precision machining and micro-nano manufacturing, and high-precision long-stroke motion control is achieved.

The invention belongs to the technical field of spacecraft ground simulation testing, and discloses a high-precision space GNC full-physical simulation test platform which is composed of a three-dimensional motion execution system, a distributed real-time control system, a capture interaction simulation system, a safety protection system and a three-dimensional motion simulation and path planning system. By integrating a three-dimensional track type large-range motion execution system and a double-grating ruler closed-loop detection structure, the simulation motion range is remarkably expanded, the technical bottleneck that an existing platform is limited by a single axis, a two-dimensional sliding rail and limited motion amplitude is broken through, high-precision cooperation of a motion control system and a track system is achieved through the platform, and high-precision cooperation of the motion control system and the track system is achieved. The space high-dynamic motion simulation of a large-size and high-inertia complex target can be met, autonomous tracking of a target flight path, flexible capture of a flying claw and small multi-degree-of-freedom control verification are supported through integrated design of a capture interactive simulation system, and complex tasks such as space rendezvous and docking, target capture and micro-force control can be effectively simulated.

The invention discloses a tire electromagnetic induction heating system control method based on multi-physics field coupling simulation. The method comprises the following steps: carrying out multi-physics field coupling simulation modeling; performing system optimization analysis; deploying a real-time control system; and performing performance verification and iterative optimization. According to the method, control over the complex physical process is achieved through multi-physics field coupling simulation, a closed-loop coupling system of physical entity-digital twinborn body-intelligent optimization-real-time control is constructed, data two-way circulation and state real-time synchronization are achieved, and the accuracy and timeliness of system regulation and control are improved; the global optimization of the system performance is realized by adopting a multi-objective optimization method, and the problem of local optimization is avoided; and through deep integration of a digital twinning technology and real-time control, predictability and controllability of the production process are realized, and the tire quality is remarkably improved.

The invention relates to the technical field of control and adjustment, and discloses a real-time control system and method for the production progress of an intelligent manufacturing platform, and the system comprises an information extraction module, a data packaging module, a state sequence module, a progress association module, a progress deviation module and a cooperative control module, and is used for obtaining multi-source heterogeneous data and a scheduling resource set of the intelligent manufacturing platform; packaging the multi-source heterogeneous data to obtain a production live set; mapping the production live set to a production element sequence of an intelligent manufacturing platform to obtain a production state sequence; extracting an evolution vector and a scheduling vector in the production state sequence to obtain a progress association vector pair; forward iteration is carried out on the progress offset between the progress association vector pairs based on process parameters in the scheduling vector, and a deviation vector of the intelligent manufacturing platform is obtained; performing collaborative optimization on the scheduling resource set based on the deviation vector to obtain a collaborative control sequence of the intelligent manufacturing platform; according to the invention, the accuracy and efficiency of real-time control of the production progress of the intelligent manufacturing platform can be improved.

The invention discloses a driving simulator motion prompting algorithm based on deep reinforcement learning. According to the method, a motion prompt control problem is modeled into a Markov decision process including a platform physical state, vehicle reference motion sensation and platform motion sensation; a near-end strategy optimization algorithm is adopted, a deep neural network intelligent body is trained to learn an optimal control strategy through a multi-target reward function fusing vestibular perception errors, working space boundaries and action smoothness, and the optimal control strategy is deployed in a real-time control system. Experiments show that the method ensures millisecond-level real-time calculation, meanwhile, the average error reproduced by motion feelings in each axial direction is reduced by about 13.6% compared with a model prediction control method and is reduced by about 42.4% compared with a classic wash-out filtering method, and the method has good universality and expansibility.

The application relates to the technical field of automatic sunshade of sunshades, and proposes a full-automatic sunshade based on sun azimuth and shadow identification and a use method thereof, which comprises a handle and a supporting handle, a connecting seat is fixedly installed on the handle, a fixing seat is fixedly installed on the connecting seat, a supporting seat is fixedly installed on the supporting handle, and the connecting seat, the fixing seat and the supporting seat are all triangular prism structures. Through the multi-sensor fusion technology of a gyroscope, an illumination sensor and a camera, in combination with a real-time control system, the sunshade can continuously keep the sunshade surface shadow coinciding with the human body without manual change of the handle direction, the sunshade precision is remarkably improved, the problem that a local body is directly irradiated by sunlight is effectively avoided, and the automatic adjustment of the sunshade surface direction is realized.

The application discloses a kind of multi-wavelength intelligent excimer laser processing systems, including workbench, workbench is equipped with the first laser excitation generator of different wavelength laser that can emit outward, second laser excitation generator and third laser excitation generator, workbench is equipped with first reflector, second reflector and third reflector, workbench is further equipped with the optical system that can make the laser that first reflector, second reflector or third reflector reflects pass through.The application aims at overcoming the shortcomings of prior art, according to the structure and technical characteristics of excimer laser, a kind of multi-wavelength intelligent excimer laser processing system capable of emitting multiple wavelength excimer laser on a single system is provided, and a kind of intelligent real-time control system is designed, to realize online monitoring of processing condition and real-time control and adjustment of excimer laser output parameters during excimer laser precision machining, to achieve efficient, accurate and automatic control processing.

The application relates to the technical field of wireless communication, and provides a security parameter updating method and device, electronic equipment and a storage medium, wherein the method is applied to a network device and comprises the following steps: receiving service security alarm information of a terminal sent by a near real-time control system; updating a security parameter according to the service security alarm information, and sending an RRC reconfiguration message carrying a security parameter updating instruction to the terminal, so that the terminal updates the security parameter and executes an intra-cell handover process. Through the application, the network device can receive the service security alarm information of the terminal sent by the near real-time control system, and after receiving the service security alarm information of the terminal, triggers the intra-cell handover process of the terminal to update the security parameter, so that unknown position users can be found and resisted in time, and the security of a wireless communication system is effectively improved.

The application belongs to the technical field of spacecraft ground simulation test, and discloses a high-precision space GNC full-physical simulation test platform, which is composed of a three-dimensional motion execution system, a distributed real-time control system, a capture interaction simulation system, a safety protection system and a three-dimensional motion simulation and path planning system, and through integration of a three-dimensional orbital large-range motion execution system and a double-grating scale closed-loop detection structure, the simulation motion range is significantly expanded, the technical bottleneck of the existing platform limited to a single shaft, a two-dimensional slide rail and a limited motion amplitude is broken through, the platform realizes high-precision cooperation of a motion control system and an orbit system, can satisfy space high-dynamic motion simulation of a large-size, high-inertia complex target, through integrated design of the capture interaction simulation system, supports autonomous tracking of a target flight path, flexible capture of a flying claw and verification of small multi-degree-of-freedom control, and can effectively simulate complex tasks such as space rendezvous and docking, target capture and micro-force control.

This invention discloses a remote real-time control system for ceramic membrane magnetic filtration based on the Internet of Things (IoT). The system comprises a sensing layer, an edge computing layer, a cloud control layer, a user interaction layer, and a modular access unit. The sensing layer, centered on a gradient field permanent magnet magnetic filtration module, integrates a Hall sensor array, an electromagnetic flowmeter, and a temperature sensor to collect key data such as magnetic saturation index, syrup flow rate, and liquid temperature in real time, achieving comprehensive perception of the ferromagnetic impurity capture status and raw material parameters. The gradient field permanent magnet magnetic filtration module is connected in series with the syrup delivery pipeline and includes a multi-stage detachable magnetic rod assembly, a Hall sensor array, a servo rotating sleeve, and a slag discharge channel. Compared to traditional iron removal equipment, this IoT-based remote real-time control system for ceramic membrane magnetic filtration is specifically designed for the characteristics of high-sugar, high-acid liquids. The gradient field magnetic circuit improves the capture efficiency, stably controlling the iron content below 0.3 ppm, effectively preventing product blackening, sedimentation, and a metallic taste.

This application provides an intelligent real-time humidity control system and method for a qu room. The system collects humidity change information at different sampling points within the qu room; decomposes each humidity change information into multiple ascending segments and multiple descending segments based on their temporal dependencies; determines the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all ascending segments, and determines the expansion coefficient caused by the polymer material of each sensor when the humidity increases based on all descending segments; determines the hysteresis coefficient of all sensors within the qu room by combining all expansion coefficients, all diffusion coefficients, and temperature change information within the qu room; and controls the humidity control device based on the hysteresis coefficient to pre-regulate the humidity within the qu room. The solution of this application can compensate for hysteresis in sensors within the qu room.

The application relates to a distributed real-time control system and method based on TSN and FPGA. The system comprises a TSN module, a plurality of data acquisition modules and a plurality of control output modules, the TSN module is used for receiving control instructions sent by a superior processing system and forwarding the control instructions to the data acquisition modules and the control output modules in a pipeline form through a high-speed interface, and is used for receiving acquisition data returned by each data acquisition module and each control output module through the high-speed interface and transmitting the acquisition data to the superior processing system; the data acquisition module is used for acquiring data according to data acquisition messages in the received control instructions and transmitting the acquired data to the TSN module in a pipeline mode; and the control output module is used for performing real-time control on external equipment according to control output messages in the received control instructions and transmitting feedback signals to the TSN module in a pipeline mode. The system can meet the demand of modern industry for efficient and accurate control.

The invention relates to the technical field of vehicle-mounted communication control, and provides a vehicle-mounted communication control system and device based on a FlexRay bus, and the system executes the following steps: configuring a communication node module in a first time slot of a main communication channel through a main controller, writing real-time control data, and executing a real-time control instruction, meanwhile, non-real-time control data generated based on the real-time control data is written in a second time slot to execute a non-real-time control instruction; activating a new time slot in the subordinate communication channel and configuring a communication node module; and the main controller starts a synchronization mechanism, acquires non-real-time data from the storage unit when the main channel occupies the first time slot, writes the non-real-time data into the subordinate channel to execute non-real-time control, and acquires real-time data to execute real-time control when the main channel occupies the second time slot. The system also has protocol conversion, data verification and storage functions, and realizes periodic switching through the time slot switching module. According to the invention, the reliability and response speed of vehicle-mounted communication can be improved, and the flexibility and safety of the system are enhanced.

The application provides a dual-target optimization decision method for a slag cooling process, and belongs to the technical field of industrial production process optimization. The method collects historical slag cooling data and performs preprocessing, and uses a multiple linear regression model to predict the temperature and cooling time after cooling. A dynamic weighted objective function is further constructed, and a hybrid algorithm (a combination of genetic algorithm, particle swarm algorithm and reinforcement learning algorithm) is used to solve the optimal control parameters. Finally, the optimal control parameters obtained are integrated into a real-time control system, and the control parameters are dynamically adjusted according to the real-time monitoring data to realize dual-target optimization of the cooling time and the furnace temperature fluctuation. The application adopts the above-mentioned dual-target optimization decision method for the slag cooling process, which can effectively improve the efficiency and stability of the slag cooling process, reduce energy consumption, and has significant economic and environmental benefits.

The described techniques address problems related to the compatibility and cost-efficiency of onboard networks. For example, they can utilize Ethernet-based security protocols without the need to exchange separate key agreement messages, thus meeting the stringent startup time requirements for real-time control systems. Additionally, a membership tracking solution can be implemented, allowing each node within a membership group to request or "challenge" other nodes in the same group to verify their online status, and this online status can be maintained over time. Finally, a transmission queue management process is described that deletes pending messages only after it has been determined that every intended receiver node has received the message, thereby providing atomicity.Held messages can then be retransmitted according to a transmission schedule.

The invention discloses an LED intelligent street lamp real-time control system based on edge calculation, and the system comprises an edge data processing module which is used for collecting brightness feedback and multi-source input preprocessing in a control box to obtain a sample window set; the space cooperation feature construction module is used for generating an adjacent matrix and calculating a space lag brightness sequence and a diffusion input sequence; the exogenous function self-organization generation module is used for constructing GMDH nodes, performing square parameterization on strong influence coefficients and obtaining an exogenous function sequence according to the sequence of interpretation and combination; the space-time prediction and structure updating module is used for constructing space-time SARIMAX and writing back a foreign function structure according to an information criterion; and the dimming control module is used for issuing a dimming instruction according to the target brightness reference value and returning feedback. Prospective dimming of the edge side street lamp is achieved, the fluctuation and instruction frequency is reduced, and the consistency is improved.

The invention discloses a road bridge expansion joint welding device, which belongs to the technical field of road bridge expansion joint welding and comprises a welding system body and a real-time control system arranged in the welding system body. The real-time control system comprises an arc voltage / current sensor module, a signal conditioning and collecting module, a main controller module, a welding power source interface module, a degaussing coil driving module, a robot servo driving module, a man-machine interaction and monitoring module and an offline calibration data storage module. The output end of the arc voltage / current sensor module is connected to the input end of the signal conditioning and collecting module. According to the method, welding arc signals are collected to recognize magnetic deflection blow, the deflection angle and magnetic field distribution are dynamically calculated, measures such as pulse modulation, active demagnetization or track compensation are adopted for autonomous decision, the incomplete fusion defect caused by residual magnetism is eliminated, the anchoring welding quality is ensured, and early brittle failure and failure caused by hidden danger welding spots are avoided.

This invention provides a real-time control system and method for a humanoid robot that integrates electromyography (EMG) and monocular vision, relating to the field of multimodal humanoid robot control technology. The system includes a posture data acquisition system, an EMG data acquisition system, an EEG data acquisition system, a computer system, a data transmission module, and a humanoid robot. The posture data acquisition system acquires two-dimensional motion videos of the user's entire body; the EMG data acquisition system acquires EMG signals from the user's arm movements; the EEG data acquisition system acquires EEG signals from the user's motor imagery; the computer system converts the received two-dimensional motion videos, arm movement EMG signals, and motor imagery EEG signals into corresponding control commands to control the humanoid robot to perform corresponding actions. This system and method integrate multiple information sources, enabling precise control of the humanoid robot's major joint movements using monocular vision information and precise control of the humanoid robot's hand and wrist movements using EMG information.

The invention relates to a message forwarding method and device and computer equipment, and the method comprises the steps: obtaining the queue depth of a message queue after a queue leaving event for a control instruction in the message queue of a control end is detected; and if the queue depth is greater than or equal to the congestion threshold, splicing the control instructions in the message queue to obtain a spliced message, and sending the spliced message to a controlled end in the real-time control system. According to the scheme, by detecting the relationship between the queue depth and the congestion threshold, the control instruction is spliced and sent when the queue is about to be congested or is congested, so that the calling frequency of a network sending interface is reduced, the performance overhead of system calling is reduced, the message forwarding speed is increased, the message tail discarding phenomenon caused by congestion of the message queue is avoided, and the service life of the message queue is prolonged. The functions of queue caching and time delay jitter absorption are recovered, and stable operation of a real-time control system is guaranteed.

The invention discloses a light-wire-powder three-beam coaxial self-adaptive laser melting forming method and device, and relates to the technical field of metal additive manufacturing and laser welding. A high-precision real-time control system is started, and multi-source signals of a molten pool area are collected in real time through a monitoring module; transmitting a multi-source signal acquired by the monitoring module to a central processing unit, and establishing a mapping relation model of monitoring characteristics and process quality; based on the output of the mapping relation model, the laser power, the wire feeding speed and the powder feeding rate are fed back and controlled in real time; and repeating the self-adaptive regulation and control step to realize the whole-process self-adaptive closed-loop control of the whole forming path. The light-filament-powder three-beam coaxial self-adaptive laser melting forming method and device have the advantages of being good in collaboration and multiple in regulation and control dimension, online real-time closed-loop control in the manufacturing process can be achieved, and the problems of poor forming and component control in non-uniform gap repair and functionally graded material preparation are solved.

The utility model relates to a communication analog-to-digital hybrid bridge, which comprises a radio frequency front end, an ADC / DAC conversion module, a DSP module and a protocol conversion module, the protocol conversion module is provided with a multi-protocol interface, and the multi-protocol interface is connected with the ADC / DAC conversion module through a dual-channel JESD204B interface; and the protocol conversion module is connected with the DSP module through a SerDes deserializer. According to the utility model, the bandwidth and delay bottleneck of the traditional discrete chipset is broken through, the five-mode signal synchronous processing is supported, the end-to-end delay is less than or equal to 8 microseconds, and the five-mode signal synchronous processing circuit is suitable for a high-density radio frequency front end and an industrial real-time control system.

A control system for a wedge-shaped energy degrader includes a system board, a motion board, a stepper motor driver, a stepper motor, and the wedge-shaped energy degrader. This control system ensures that the energy degradation response time for each level of the energy degrader is faster than that of a multi-wedge energy degrader, completing energy switching within 50 milliseconds. The wedge-shaped energy degrader comprises a pair of angled wedge-shaped graphite energy degrading sheets. The length or distance traveled by the pair of angled wedge-shaped energy degraders is several times that of the multi-wedge energy degrader or the distance traveled by the multi-wedge energy degraders, and their width is the same as the sum of the widths of the multi-wedge energy degraders. This invention organically combines DDS communication, a VxWorks embedded real-time control system, and an S-curve algorithm module, solving the problem that the increased size of existing wedge-shaped energy degraders, resulting in a length or distance traveled several times greater than that of multi-wedge energy degraders and a significantly slower response time, is a major drawback.

The invention discloses an oversize section bearing steel dynamic recrystallization prediction method and system based on multi-modal data fusion and physical constraint deep learning, and the method comprises the steps: firstly constructing a multi-modal data fusion frame, and taking a dynamic recrystallization kinetics Avrami equation and a grain growth energy equation as constraint conditions to design a physical constraint deep neural network; a real-time control system is constructed by combining a high-temperature strain gauge array and a hydraulic servo system, so that the dynamic recrystallization rate, the grain size and the structure uniformity of the super-huge section bearing steel can be predicted, and the method is suitable for dynamic recrystallization behavior online monitoring and process regulation and control in the high-temperature deformation process of bearing steel hot rolling, forging and the like.

The invention discloses a bionic mechanical head real-time control system based on a distributed CAN bus. The bionic mechanical head real-time control system comprises a distributed hardware structure, an SYNC system and a software algorithm. The distributed hardware structure is of a three-level CAN bus cascade structure and comprises a main control module, a sensor module and a motor driving module, and all the modules are connected through differential signal lines. A software algorithm covers RTOS task scheduling and a multi-mode control strategy, a motor driving module adopts a distributed design, each joint is provided with an independent driving unit, and an instruction of the main control module is received through a CAN bus. The controller is an incremental PID (Proportion Integration Differentiation) controller and also adopts an S curve acceleration and deceleration algorithm. The sensor module integrates various sensors and is attached to the curved surface of the mechanical head through a flexible circuit board. The motor driving module adopts an H-bridge circuit and is integrated with the CAN transceiver. The system can simplify wiring, improve expansibility and real-time performance, reduce mechanical shock and noise, enhance anti-interference capability, prolong the service life of a mechanical structure, and improve operation reliability and adaptability.