50results about How to "Realize real-time control" patented technology

The invention discloses a double neural network model predictive control method for a robot flexible joint, and belongs to the technical field of robot intelligent control, and the method comprises the steps: carrying out the modeling of a nonlinear dynamic system of a flexible joint robot, and building a dynamic model; setting a GRU neural network model to approach a dynamic model of the system; based on a GRU neural network model, constructing a hybrid control NNMPC controller including position, speed and torque; optimization of the NNMPC controller is optimized on the basis of a nonlinear optimization solver; and setting an NARX neural network model to approach a solution of an NNMPC controller, and forming a dual-neural network model predictive control method. According to the double-neural-network model prediction control method for the flexible joint of the robot, two neural networks are introduced to work cooperatively, one neural network is used for approaching the dynamics of the system, the other neural network is used for accelerating the optimization solving process of the model prediction controller, the calculation overhead possibly caused by a traditional method in a high-dimensional nonlinear system is reduced, and the calculation efficiency is improved. Therefore, real-time control is realized.

The invention provides a method and a system for regulating and controlling welding current of an inverter resistance welding machine in real time. The method comprises the following steps: welding and acquiring a primary side current signal of a transformer; carrying out segment processing on the current signal of the current cyclic wave; processing and calculating a fast rising section; judging a starting point of a slope section; calculating the target peak current of the slope section; calculating a current cyclic current statistical value; and adjusting the target peak current of the next cycle. Primary side current signals of the inverter type welding machine are collected in real time, segmentation processing and characteristic quantity extraction are conducted on the current signals, the starting point of the slope section is judged, and the target peak current of the slope section is calculated according to a current target value; when the current of the slope section reaches the target peak current, the welding current is cut off; calculating a current statistical value in the current cycle, comparing the current statistical value with a current target value, and adjusting the target peak current of the next cycle; and the steps are repeated until the welding power-on time reaches the preset value, and therefore real-time fine control over the welding current is achieved.

The invention provides an internet of things switch control method and system based on edge computing, relates to the technical field of internet of things, and aims at deploying an edge device at the network edge of target internet of things switch equipment to realize data interaction with the equipment. The edge node is responsible for collecting state data of equipment and carrying out data processing and anomaly detection; the edge server collects communication state data of each edge computing node and analyzes a connection relationship between the nodes; generating a control instruction according to the data detection result and sending the control instruction to the target Internet of Things switch equipment in real time; meanwhile, the edge server performs real-time updating and optimization according to feedback of data processing and anomaly detection, and dynamically adjusts a network strategy; and an encryption technology and an access control strategy are introduced, so that the security of data transmission and storage is protected. According to the method, the delay is reduced, the processing efficiency is improved, and the safety and reliability are enhanced, so that the method can effectively adapt to the requirements of modern intelligent application, and the overall performance of an Internet of Things system is improved.

This invention relates to the field of refractory brick manufacturing technology, solving the problem of poor coordination between various process equipment units in refractory brick production lines. Specifically, it discloses an automated production line and process for refractory brick production, including a crushing unit, a feeding unit, a weighing unit, a mixing unit, a spreading unit, a pressing unit, a detection unit, a stacking unit, and a firing unit connected by control system signals. The discharge end of the crushing unit is connected to the feed end of the feeding unit; the discharge end of the feeding unit is connected to the feed end of the weighing unit; the discharge end of the weighing unit is connected to the feed end of the mixing unit; the discharge end of the mixing unit is connected to the feed end of the spreading unit; the discharge end of the spreading unit is correspondingly arranged with the feed end of the pressing unit; the discharge end of the pressing unit is connected to the feed end of the detection unit; and the discharge end of the detection unit is connected to the feed end of the stacking unit. This invention is used for refractory brick production and features a high degree of automation and strong equipment coordination.

The invention provides a work content and progress plan association method, system and device based on a BIM model. The method comprises the steps that the BIM model of a project is acquired; obtaining a progress plan library of the project; performing dynamic code association based on the component identification code of each component in the BIM model and the progress plan code in the progress plan library to obtain an associated BIM model; acquiring a post work content library; the post work content code is consistent with the progress plan code; and based on the progress node of the associated BIM model, triggering a post work task corresponding to a post work content code which is the same as the progress plan code in the post work content library, and sending the post work task to a corresponding post worker. According to the invention, the post work content and the progress plan can be associated by using the component identification code, the progress plan code and the post work content code based on the BIM model, so that the project construction management efficiency is improved.

The present application belongs to the technical field of biomass pyrolysis product processing, and provides a biomass tar catalytic cracking device and product processing method, wherein the cracking device is heated by Joule heat, and comprises a biomass pyrolysis system, a tar catalytic cracking system, a bio-oil condensation system and a hydrogen-rich combustible gas collection system. The tar catalytic cracking system comprises a Joule heat cracking reactor and a photovoltaic power generation device, and the Joule heat cracking reactor comprises a cylindrical electric heating sheet, a circular aperture plate and a cracking reaction bin. The inner and outer surfaces of the cylindrical electric heating sheet are coated with a catalyst, and the cylindrical electric heating sheet is used as a heat source to directly heat the catalyst and reactants, thereby completing the adsorption and pyrolysis of the tar in one step and achieving high processing efficiency. Meanwhile, the present application collects three products, i.e. biochar, bio-oil and hydrogen-rich combustible gas, through multi-stage processing, which is helpful to realize the high-value utilization of biomass.

The present disclosure provides a piezoelectric driver control method, device, storage medium and electronic equipment, and relates to the technical field of piezoelectric control. The piezoelectric driver control method comprises: acquiring a control coefficient determined by a friction coefficient between a piezoelectric driver and a driven part; and determining a control signal for inputting the piezoelectric driver according to the control coefficient and a sliding mode surface of the piezoelectric driver. The present disclosure can realize accurate control of the piezoelectric driver and improve the precision of piezoelectric driving.

The utility model discloses a full-automatic stainless steel ultrafiltration system which comprises a circulating tank body, a magnetic stirrer is arranged in the center of the bottom surface of the circulating tank body, a weighing module is arranged on one side of the magnetic stirrer, and the other side of the magnetic stirrer is connected with a diaphragm pump through a first hose; the diaphragm pump is connected with a feed port of the ultrafiltration device, and a discharge port of the ultrafiltration device is connected with the top surface of the circulation tank body; the materials in the circulating tank body are pumped into the ultrafiltration device through the diaphragm pump; the circulation tank integrates weighing and magnetic stirring, the structure is compact, the stirring form can be replaced, and use is more convenient.

The present application provides a control method, controller, control system and crane for crane flow, which relates to the field of crane equipment. The control method for crane flow includes: obtaining the current speed of the engine, and determining the demand flow of each actuator to perform the current operation based on the linear relationship between the demand flow of each actuator and the current speed; calculating the sum of the demand flow of each actuator to obtain the total demand flow; determining the actual output flow of each oil pump based on the total demand flow and the maximum output flow of each oil pump, and controlling each oil pump to output the corresponding actual output flow. Thus, the demand flow of the actuator is determined according to the current speed of the engine, and then the total demand flow of each actuator is determined. The actual output flow of the oil pump is determined according to the total demand flow and the maximum flow of the oil pump, thereby realizing real-time control of the engine flow, which not only ensures the smooth operation of the engine, but also reduces unnecessary fuel consumption.

The invention relates to a mixed intersection intelligent management and control method for unmanned mine cars, and the method comprises the steps: collecting the current coordinates and current morphological parameters of a target unmanned mine car when the target unmanned mine car is detected to enter a mixed intersection; calculating a first current safety range of the target unmanned mine car according to the current coordinates and the current morphological parameters; acquiring a second current safety range of all started mine cars in front of the target unmanned mine car, and determining a target free area corresponding to the target unmanned mine car according to the first current safety range and the second current safety range; and updating the driving path and speed of the target unmanned mine car based on the target free area. According to the method, the running track and speed of the mine car in the system are updated in real time, the mine car is prevented from continuously working by adopting fixed parameters, and real-time dynamic adjustment of the control system is realized, so that when each mine car works, the whole path can carry out transportation at the highest running efficiency in an autonomous safe space area; therefore, the working efficiency of the whole mine transportation system is greatly improved.

The invention discloses a multi-role collaborative intelligent whole-process engineering consultation integrated management platform, which belongs to the technical field of engineering management, and specifically comprises a data access module for extracting engineering quantity and material strength grade in a building information model and process time nodes in a construction progress plan; the demand curve generation module generates a material demand curve accordingly. And the storage yard occupancy calculation module compares the real-time material entry record with the demand curve to calculate a storage yard occupancy dynamic value. And the stacking capacity management and control module calculates an effective stacking area according to the construction plane layout diagram, marks a storage yard when the effective stacking area exceeds the capacity, and locks a material entry inspection entrance. The material gap identification module generates a material gap list and pushes the material gap list to a supplier. And the demand curve correction module generates a correction demand curve according to the delivery notice and adjusts the state of the yard mark. According to the invention, the real-time matching of the material demand and the field capacity and the precise cooperation of the purchase and the progress are realized.

The invention relates to the technical field of building curtain wall construction, and discloses a multi-direction adjustable aluminum-based metal curtain wall installation method which comprises the following steps: determining the plate division size and the reinforcing rib layout based on wind pressure load and finite element analysis, designing a multi-dimensional adjustable hanging system, generating design parameter data, and setting the design parameter data as the design parameter data; on the basis of the design parameter data, aluminum-based metal plates and reinforcing ribs are machined through numerical control equipment, and machined curtain wall plate data are generated; design parameter data, processed curtain wall plate data and on-site measurement reference data are systematically integrated, so that a uniform and accurate data reference is provided for keel installation and plate hanging, and the definition and consistency of a whole-process construction basis from surveying and setting-out to final fastening are ensured; the initial in-position accuracy of integral installation of the curtain wall is improved, and accumulative errors caused by data disjunction are reduced.

The invention discloses an atmosphere lamp control method and device and a display device, the control device comprises a soc chip, an mcu microcontroller, a driving circuit module, an atmosphere lamp strip and other components arranged on the display device, the soc chip, the mcu microcontroller, the driving circuit module and the atmosphere lamp strip are connected in sequence, and the driving circuit module is connected with the driving circuit module. The soc chip determines to start a certain atmosphere lamp display signal according to the real-time detected user interaction requirement and the current working state of the display equipment; a plurality of atmosphere lamp display control schemes are preset in the mcu microcontroller, and a calling interface is provided for the soc chip to call so as to receive a selection signal from the soc chip and send out a corresponding atmosphere lamp display signal; the driving circuit module is used for receiving the atmosphere lamp display signal sent by the mcu microcontroller and transmitting the atmosphere lamp display signal to the atmosphere lamp strip; and the atmosphere lamp strip performs effect display according to the atmosphere lamp display signal. By detecting the operation instruction of the user or displaying the working state of the equipment, the specific function is started to achieve the capability of changing the atmosphere lamp, real-time interaction control over the atmosphere lamp by the user is achieved, and the experience feeling is improved.

The invention discloses a real-time control-based drawing type accurate aeration system, which comprises a dissolved oxygen sensor, and the dissolved oxygen sensor is connected with a water quality accurate control system through a data transmission technology and is used for transmitting data detected by the dissolved oxygen sensor to the water quality accurate control system in real time; and the water quality accurate control system is connected with the fan through a data transmission technology, is used for controlling the operation of the fan by the dissolved oxygen sensor and is also used for feeding back the operation state of the fan to the water quality accurate control system in real time by the fan. According to the drawing type accurate aeration system based on real-time control, various operation data of an aerobic zone of a biochemical section of a sewage treatment process are monitored through a dissolved oxygen sensor, a water quality sensor and a flow meter, and a water quality accurate control system calculates and adjusts the operation load of a fan to adjust the air supply amount of the drawing type aeration system; after the air supply amount is changed, various operation data of the aerobic zone of the biochemical section of the water treatment process can be influenced, and real-time control and self-regulation of the whole system are realized.

The invention discloses a communication analysis system based on the Internet of Things, and the system comprises a management control module which is used for carrying out the management control of an industrial Internet of Things communication analysis system; the analysis processing module is used for carrying out analysis optimization processing on the industrial Internet of Things communication analysis system; the management transmission module is used for transmission management of data information; the management control module comprises a communication structure module which is used for carrying out the optimization design of the communication structure of the industrial Internet of Things; the model management module is used for managing an industrial Internet of Things communication model; and the priority module is used for setting the priority of the industrial Internet of Things communication analysis system. The method has the characteristics of high analysis and processing efficiency and high stability.

The invention provides a high-silicon silicon-manganese alloy smelting method which comprises the following steps: smelting uniformly mixed smelting raw materials added into a submerged arc furnace through the submerged arc furnace to obtain first high-silicon silicon-manganese alloy liquid; wherein in the process of smelting the uniformly mixed smelting raw materials added into the submerged arc furnace through the submerged arc furnace, the resistance value of the electrode of the submerged arc furnace is obtained in real time; the voltage of the secondary side of the submerged arc furnace transformer and the current of the submerged arc furnace electrode are adjusted according to the resistance value of the submerged arc furnace electrode so as to ensure that the resistance value of the submerged arc furnace electrode is larger than a first preset threshold value, and in the process, the alkalinity in the submerged arc furnace is a second preset threshold value; transferring the first high-silicon silicon-manganese alloy liquid into a ladle, standing for a first preset time, and slagging off the first high-silicon silicon-manganese alloy liquid to obtain a second high-silicon silicon-manganese alloy liquid; and the second high-silicon silicon-manganese alloy liquid is poured into a mold for ingot casting, and a high-silicon silicon-manganese alloy finished product is obtained. The power consumption cost in the smelting process of the high-silicon silicon-manganese alloy is low, and the purity of the finished product of the high-silicon silicon-manganese alloy is improved.

The application provides a method and device for multi-wavelength excitation micro-nano crystal luminescence regulation, which comprises the following steps: determining the wavelength of continuous laser for capturing a single micro-nano crystal according to the absorption spectrum of a rare earth doped micro-nano crystal; determining the wavelength of each pulse excitation laser corresponding to the absorption spectrum of each type of doped ion; emitting the continuous laser to the micro-nano crystal to capture a single micro-nano crystal; regulating the excitation sequence and time interval of each pulse excitation laser emitted to the micro-nano crystal through timing to obtain the electron population process and fluorescence emission timing of the micro-nano crystal under the excitation of each pulse excitation laser. Different fluorescence appearance sequences reflect different electron population processes and electron accumulation conditions on different energy levels in the micro-nano crystal.

A hydraulic excavator optimization method based on engine output power prediction and controller parameter setting belongs to the technical field of engineering machinery excavator control. This method establishes an engine output power time series prediction model and a hydraulic pump load torque multivariate mapping model, indirectly predicts the engine output torque, and directly calculates the hydraulic pump load torque. The gray wolf algorithm is used to optimize the PID controller for parameter setting. When the excavator is working, the controller predicts the engine output torque using the engine output power time series prediction model, calculates the hydraulic pump load torque using the hydraulic pump load torque multivariate mapping model, imports the difference between the engine output torque and the hydraulic pump load torque into the PID controller optimized by the gray wolf algorithm, adjusts the controller output current, changes the hydraulic pump output flow, and then adjusts the hydraulic pump output torque to be dynamically equal to the engine output torque, thereby achieving real-time stable control of the engine speed.

The invention discloses a substation operation safety risk management and control system based on multi-view vision, and relates to the technical field of power equipment safety management and control, the management and control system comprises a position estimation module, a position direction description module, an information matching module, a position determination module and an early warning module, the position and direction description module is used for acquiring position and direction description information of a target operator relative to other operators under each view angle; the information matching module is used for matching target operating personnel under the multiple visual angle visual pictures; the position determination module is used for calculating and determining the world coordinate position; the early warning module is used for analyzing whether the target operator enters a dangerous area; according to the safety risk management and control system, the world coordinate position of the target operator can be accurately calculated according to the position of the target operator in the multi-view visual picture, the accuracy of three-dimensional position calculation of the target operator is improved, then real-time management and control of the near-electricity operation safety distance are achieved, and the accuracy of position detection of the operator is improved.

The invention provides a constant-voltage dimming power supply networking control method and system based on the Internet of Things, and the method comprises the steps: a cloud server obtains the historical working data, environment data and power supply attribute data of all dimming power supplies, and configures a corresponding Internet of Things network based on the data; all the dimming power supplies are connected to the network and are divided into different groups, and each group is provided with a corresponding controller; the cloud server generates a power supply use scene model of each group by using historical data and grouping information, and formulates a group control strategy; and finally, sending a command by the group controller according to the control strategy, and controlling the working states of the plurality of dimming power supplies. According to the scheme, through data analysis and intelligent control, the use efficiency and the adjustment accuracy of the dimming power supply are improved, and the comfort degree and the satisfaction degree of a user are enhanced.

The invention relates to the technical field of electric braking systems of general vehicles, in particular to a vehicle hydrogenation detection control method and system.The method comprises the steps that the pressure value of a target hydrogen canning cavity of a target vehicle is obtained, and a pressure data set is obtained; performing difference analysis on the pressure data set, wherein an analysis result set is a difference data set; based on a threshold model, judging the difference data set to obtain a judgment data set; performing hydrogenation based on the judgment data set; comparing the pressure of the target hydrogen canning cavity after hydrogenation; and on the basis of the comparison result, hydrogenation start-stop control is executed. According to the method, through cooperation of the threshold value model and the difference value data set, rapid and timely hydrogenation detection control over the vehicle is achieved; meanwhile, due to the fact that the pressure of the target hydrogen canning cavity after hydrogenation can be compared, real-time control over the hydrogenation process can be achieved.

This disclosure provides a simulation testing system, method, train, equipment, and medium for trains, applicable to the field of train simulation technology. The simulation testing system includes: a sensor simulation module for outputting operating status signals through virtual sensors corresponding to the system under test; a data acquisition card simulation module for processing the operating status signals and outputting digital operating status signals; a communication protocol simulation module for enabling the data acquisition card simulation module to transmit the digital operating status signals to a computer simulation module via a predetermined communication protocol; a computer simulation module for collecting its own performance index data using a virtual computer with a predetermined system configuration type; and a server simulation module for generating simulation test results based on the performance index data, and determining a predetermined configuration scheme as the target configuration scheme for the system under test if the simulation test results meet preset conditions.

The application discloses a pig house environment control method and device based on digital twinning and reinforcement learning, and a medium, and relates to the technical field of large-scale breeding. The method comprises the following steps: extracting a plurality of data subsets from a data set; for each data subset, inputting a sample pig house state at the last time in the data subset into a network of a reinforcement learning model, obtaining a virtual environment control instruction, updating a device state, inputting the updated data subset into a digital twinning model, and obtaining an updated pig house internal environment state; updating an experience replay pool based on the updated data subset and the updated pig house internal environment state, training the network until all data subsets are traversed, and determining the trained network as an environment control model; inputting a pig house state at a current time into the environment control model, obtaining an environment control instruction at the current time, and thereby controlling the pig house environment. The application can improve the accuracy and real-time performance of pig house environment regulation and control.

The application provides a self-locking hydraulic jacking device and a use method thereof, and belongs to the technical field of heavy load lifting equipment. The hydraulic jacking unit is used for hydraulic lifting operation on the pressure bearing plate. After the pressure bearing plate is lifted to a preset height, the first lock body unit, the second lock body unit, the third lock body unit and the fourth lock body unit form a multiple interlocking mechanical safety bearing state, so as to provide mechanical locking protection independent of the power source for the hydraulic jacking unit, and the hydraulic system pressure maintaining is not needed. The inherent risk of low safety redundancy and dependence on system pressure maintaining in the prior art is effectively solved, and the safety guarantee is provided for various high-safety construction heavy load lifting operations including hanging basket jacking.

The application relates to the technical field of robots, and provides a multi-degree-of-freedom bionic manipulator control method. The method first establishes a kinematics model and a dynamics relationship of the bionic manipulator, and on this basis, a multi-modal training and real-time control method for a 20-degree-of-freedom bionic manipulator is provided. The method comprehensively utilizes three heterogeneous sensing modalities of inertial measurement, computer vision and surface electromyography to synchronously perceive the hand movement intention of a human operator, and realizes fusion regression of multi-source information based on a deep neural network to output target control instructions of joints of the manipulator. In the training stage, an inertial measurement system is used to provide high-precision joint angle true values; in the deployment stage, vision and surface electromyography are mainly used as network inputs, and real-time closed-loop control is realized in combination with feedback at the manipulator end, so that high-precision control of the multi-degree-of-freedom bionic manipulator is realized.

The present invention relates to the field of circuit breaker control technology, and specifically to an intelligent universal circuit breaker and a control method. In order to balance the safety and stability of the equipment, it is necessary to accurately control the current duration before triggering the overload protection. The present invention obtains the current data segments of the intelligent universal circuit breaker during the historical operation process, and each current data segment corresponds to an overload protection process. Determine the starting point of the change in each current data segment, and calculate the time interval between it and the triggering time point. Focus on the last current data segment, which is divided into current transition and abnormal data segments, analyze the current change trend, the difference from the preset threshold, and the change in the spectrum diagram, and obtain the possible value of the current overload protection. At the same time, calculate the current abnormality duration factor, and comprehensively determine the current duration of the next overload protection trigger, so as to achieve stable control of the intelligent universal circuit breaker.

The application provides a vapor compression refrigeration system electronic expansion valve opening degree adaptive control method, and belongs to the technical field of intelligent control of refrigeration air conditioners. The method pre-establishes a liquid supply dynamic characteristic matching model including double heavy time delay characteristics of an electronic expansion valve offline, completes state space working condition partition with evaporation pressure, condensation pressure, compressor power level and pressure difference before and after the valve as partition dimensions, and pre-optimizes and stores an optimal control rule library as a lookup table. During online operation, multi-cycle liquid supply demand prediction is performed, with the minimum deviation of liquid supply and evaporation as the target, offline pre-optimization and online lookup table interpolation strategy are used to solve the optimal opening degree instruction, and the model parameters are adaptively corrected with physical constraints. The application compresses the time consumption of single cycle calculation to less than 5ms, controls the liquid supply matching deviation to be within plus or minus 2%, reduces the valve action frequency by more than 62%, and can be widely applied to liquid supply optimization control of refrigeration systems of various types of full-liquid or falling film evaporators.

The present invention relates to the field of rail transit technology, and in particular, provides an auxiliary device for rail transit emergency coordination. The auxiliary device for rail transit emergency coordination includes a mounting assembly, two wheel hub assemblies, a brake control assembly, and two shock absorbing assemblies. The present invention can effectively mitigate and disperse lateral and vertical vibration forces, and perform multi-point dispersed shock absorbing treatment. Through the cooperation of the shock absorbing assembly and the mounting assembly, the lateral and vertical vibration forces can be effectively mitigated and dispersed, and the lateral and vertical vibration forces can be stably damped and controlled, and can be automatically adjusted and responded according to the vibration intensity to achieve real-time control of the shock absorbing effect. In addition, when the vibration level is too large, the brake control assembly can be automatically and quickly started to effectively slow down the running speed of the device, prevent the huge vibration caused by high-speed driving from causing the device to lose control, and simultaneously perform multi-point dispersed shock absorbing treatment on the vibration force during braking, thereby reducing the impact of vibration on the device.

The application discloses a steady flow bin weight fuzzy control method based on fuzzy subtraction clustering, which comprises the following steps: inputting the real-time deviation GE t and the deviation change rate GEC t of the bin weight at time t into a fuzzy controller to obtain a feeding amount action amplitude QE t ; performing inverse normalization on the feeding amount action amplitude QE t , and then adding the feeding amount QE t‑1 at time (t-1) to obtain the feeding amount Q t at time t, so as to control the steady flow bin weight in real time; the steady flow bin weight fuzzy control method can adaptively acquire expert experience and obtain a fuzzy controller, thereby realizing real-time control of the steady flow bin weight.