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

The invention relates to the technical field of numerical control machining, in particular to a tool cutting path machining error compensation method based on online monitoring, which comprises the following steps: establishing a cutting path data model; constructing a multi-modal sensor assembly, and collecting error data in real time; establishing an error state equation to carry out error calculation; constructing a double-layer compensation mechanism; and executing the compensation instruction by adopting a real-time control system. Through real-time synchronous monitoring of the multi-mode sensor, a mixed error resolving framework and a double-layer intelligent compensation mechanism, the influence of dynamic error sources such as cutter abrasion and machine tool thermal deformation can be effectively overcome, the machining precision and the surface quality are remarkably improved, and the high-precision machining requirements in the fields of aerospace, precise instruments and the like are met.

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 relates to the technical field of plasma control systems, in particular to a method for real-time synchronization and online switching of a redundancy control system. According to the technical scheme, the method comprises the following steps: system interaction: realizing interaction between a redundancy control system and an external system through a control network, a clock synchronization network, a central interlocking network and a real-time communication network; the main and standby systems synchronously run under the triggering of a unified clock; the main and standby systems share key data in real time, and time, data and operation states are synchronized regularly. Synchronous operation of the main control system and the standby control system is achieved, the operation states of key devices and processes of the control systems are monitored in real time, the interlocking unit is used for judging the effectiveness of the main redundant system and the auxiliary redundant system, online switching and abnormal alarm of the systems are completed when the devices or the processes are abnormal, and real-time release and sharing of key operation information of the control systems are achieved. State synchronization after the offline system is accessed and operation recovery of a redundant system are realized, so that the reliability of long-time steady-state operation of a real-time control system is improved.

The invention relates to the technical field of temperature control, and particularly discloses a micro-reactor real-time control system for fine chemical engineering, and the system comprises an acquisition module which calculates a standard temperature according to the temperature at a monitoring point, and periodically obtains the standard temperature in a preset acquisition period; the analysis module is used for calculating a temperature difference value, obtaining a maximum temperature difference value and obtaining a temperature change value; coordinate points are generated and fitted to obtain a fitted curve, and the total number of reference points on the fitted curve is counted; and the adjusting module is used for calculating the judgment value, determining whether to adjust the power of the temperature adjusting module or not according to the judgment value, and adjusting the power of the temperature adjusting module according to the fitting curve. According to the invention, the environment temperature in the microreactor can be kept stable, and the complexity of controlling the temperature in the pipeline is reduced.

The invention relates to the technical field of real-time control, in particular to a warehouse sorting real-time control system based on edge computing, which comprises a warehouse-in data processing module, an intelligent sorting control module, a dynamic fault-tolerant response module, an inventory management module and a data analysis and optimization module. According to the method, the change of a real-time order can be quickly adapted by analyzing the declaration batch number and the commodity code in real time, the sorting error can be immediately corrected by adjusting the self-adaptive sorting path and speed, optimizing the resource use, improving the operation efficiency and carrying out real-time monitoring and error detection on the performance of the sorting mechanical arm through the edge computing node, and the sorting efficiency is improved. According to the method, the stability is enhanced, the downtime is reduced, real-time synchronization and accuracy verification of inventory management are realized, real-time updating of inventory data is ensured, more effective inventory scheduling and accurate operation decision are supported, and data-based optimization suggestions are provided for a management layer and the data driving force of decision is enhanced through deep analysis of inventory dynamics.

The invention discloses an ecological analysis method and system based on urban water treatment, and relates to the technical field of environmental engineering, and the method comprises the steps: determining ecological data, deploying a sensor, collecting the ecological data in real time through the sensor, and carrying out the preprocessing; according to the preprocessed ecological data, constructing an ecological prediction model, and predicting the concentration of the disinfection by-product; and comparing the predicted disinfection by-product concentration with a set disinfection by-product concentration threshold value to obtain a concentration error amount, and inputting the concentration error amount into a PID controller to obtain a control input amount. Through real-time acquisition and pretreatment of ecological data, accurate prediction of the concentration of disinfection by-products, adaptive adjustment of a PID controller and physical quantity conversion of control signals, the accuracy and the automation level of the urban water treatment system are remarkably improved, and through accurate prediction and real-time control, the urban water treatment efficiency is improved. The system effectively reduces the excessive generation of disinfection by-products, avoids the excessive use of medicaments, and improves the stability and operation efficiency of the system.

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 described techniques address issues to achieve key agreement without the need to exchange separate key agreement messages and, consequently, meets the stringent starting time requirements for real-time control systems. This is achieved using a group-wide key counter, with each node storing the latest value of this counter that was observed via the last received secured message. This counter value increases monotonically, and nodes maintain synchronization by transmitting this counter value (or a representation of the counter value) in each secured message. The use of key counters may be extended to guard against weak replay attacks via the implementation of a live membership tracking solution, which defines one or more membership groups. Each node within a membership group may request, or “challenge” other nodes with the same membership group at any time to verify their online status, and this online status may be maintained over time.

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 cold-chain logistics temperature real-time control system and method, and relates to the technical field of cold-chain logistics management.The cold-chain logistics temperature real-time control system comprises a data acquisition module, and the data acquisition module comprises an acquisition unit and a monitoring unit; the acquisition unit is used for acquiring parameter information in a cold-chain logistics process, and the monitoring unit is used for monitoring the parameter information acquired by the acquisition unit and preprocessing the parameter information to remove abnormal parameter information; the analysis control module comprises a control unit, and the control unit is used for adjusting control parameters of the cold-chain logistics equipment; according to the invention, effective afterward tracking and analysis can be carried out at the first time when a fault occurs, the safety and effectiveness of drugs are ensured, subsequent reduction of afterward tracking and analysis problems caused by monitoring equipment fault or data recording interruption is facilitated, the transparency and tracking capability of a supply chain are improved, and the understanding and management of each link of a service are enhanced.

The present invention relates to the field of precision measurement and control technology, specifically to a data acquisition and real-time control system based on an EtherCAT bus, comprising a device under test, a data acquisition system and a control system connected in sequence, wherein the data acquisition system and the control system are connected via an EtherCAT bus. The present invention uses the EtherCAT bus as a communication interface between the data acquisition system and the control system, can achieve seamless connection and data sharing between the data acquisition system and the control system, uses the stable communication mechanism and error detection function of the EtherCAT bus, enhances the stability and reliability of the system; and can design an intuitive and easy-to-use user interface and operation process based on this, and optimizes the user's operating experience.

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 embodiment of the invention discloses a humanoid robot cluster real-time control system and method based on a mobile ad hoc network. The system comprises an equipment layer which comprises an operation system and equipment of the humanoid robot; the device comprises an ad hoc network module. The edge layer comprises a server and a humanoid robot; and the platform layer is used for controlling and managing the humanoid robot in real time. The method has the advantages that under the environment that a traditional wireless cellular network cannot be accessed, data sharing of all humanoid robots in the network can be achieved, and therefore tasks of different robots are arranged according to an intelligent scheduling algorithm in combination with the current states, environment information and the like of the robots; based on an efficient communication protocol, robot states and surrounding environment factors can be quickly obtained, after tasks of the robots are arranged, different task instructions are respectively issued to different robots in the network, and the robots at different nodes in the network can respond to the instructions in real time, so that real-time control of the system is realized.

The invention provides a redundancy real-time control system based on a TSN. The redundancy real-time control system comprises a CTC, a controller, IO equipment and a time sensitive network TSN switch. Each main controller is provided with one or more standby controllers in a working state, each main IO device is provided with one or more standby IO devices in a working state, and each main TSN switch is provided with one or more standby TSN switches in a working state; the controller and the IO equipment in the system form a switched network through the TSN switch; at least two TSN switches are respectively provided with clock sources, the clock sources comprise a main clock source and at least one standby clock source, and the clock sources transmit clock signals outwards hop by hop through adjacent links; the CTC is connected to each clock source, the CTC comprises a main CTC and a standby CTC, and the CTC is used for managing a clock domain of the system and sensing clock synchronization states of all nodes in the system. The technical problem of low transmission efficiency of a bus-based redundancy control system in related technologies is solved.

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 invention relates to the technical field of high-pressure steam sterilizers, in particular to a medical high-pressure steam sterilizer temperature and pressure curve optimization method and system. The method comprises the following steps: acquiring bacterial characteristic data and environmental parameters by adopting a sensor, and generating an original data sequence; performing data cleaning and standardization processing on the original data sequence to form a high-quality data set; based on the high-quality data set, a deep learning algorithm is utilized to train a sterilization process model, and temperature, pressure and time optimization curves suitable for different strains are generated; inputting the optimized curve into a real-time control system, and adjusting operation parameters of the high-pressure steam sterilizer; and dynamically adjusting the operation parameters according to the equipment operation data in the sterilization process, and generating a sterilization effect evaluation report. Through a deep learning algorithm and a real-time feedback mechanism, dynamic optimization of the sterilization process is realized, meanwhile, energy consumption is reduced, and the method has the beneficial effects of high sterilization efficiency, energy conservation, environmental protection, high adaptive capacity and the like.

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.