31results about How to "Achieving Adaptive Control" patented technology

The invention relates to the technical field of water saving, and provides a self-adaptive control method and system for an electric flow regulating valve, and the method comprises the steps: collecting the opening degree of the flow regulating valve in a heat supply secondary pipe network and different types of pipe network data of different monitoring points, and matching the flow regulating valve with the monitoring points; determining the interference fluctuation possibility of the monitoring points at the acquisition moment, and determining to-be-identified moments of all the monitoring points; determining an abnormal transmission chain of a real heat supply demand, a to-be-regulated degree of a flow regulating valve at the real heat supply demand, and a pipe network regulation influence degree at a to-be-identified moment; and determining an adjustment coefficient of the to-be-identified moment, and realizing opening control of the flow control valve by combining the opening of the flow control valve at the to-be-identified moment and all similar acquisition moments. According to the invention, self-adaptive control of the opening of the flow regulating valve can be realized.

The embodiment of the application provides a control method and device of a rod wire loop device and a storage medium, the control method comprises the following steps: determining a loop starting time of the loop device according to a rolling piece running speed of a target rolling piece and a downstream rack biting time; determining a real-time loop height value according to the loop starting time, a loop starting initial height, a steady-state target loop height and a ramp rising time, and controlling the loop device to start the loop according to the real-time loop height value; acquiring a real loop height value of the loop device, and correcting an upstream rack running speed according to the real loop height value and the real-time loop height value; and when a tail of the rolling piece leaves the upstream rack, the loop device is controlled to fall back according to a tail loop closing target height. The method realizes adaptive control of the rod wire loop.

The application provides a cooling tower constant pressure PID adaptive control method and system based on process monitoring, and relates to the technical field of PID control.The method comprises the following steps: decoupling a working condition characteristic index group and a deviation feedback index group; constructing an operating condition vector and matching an initial operating scene group; calling a historical state transition chain, performing scene membership probability correction based on scene state transition prediction, and outputting a real-time operating scene; performing disturbance-free smooth coarse adjustment of the cooling tower constant pressure control; executing fine-grained PID fine adjustment of the cooling tower constant pressure; and performing scene switching analysis under incremental monitoring until the operating scene is changed, triggering fine-grained PID fine adjustment under disturbance-free smooth coarse adjustment. The application solves the technical problem that the prior art usually performs control parameter setting based on single or low-dimensional characteristics, cannot accurately identify the current operating condition category, and thus leads to PID parameter update lag and difficulty in timely matching the actual system dynamic characteristics when the operating condition rapidly changes.

The application provides a baseband radio frequency signal data feedback processing method based on vector modulation, which first receives a baseband signal data set transmitted by a target radio frequency link in a preset frequency band, which contains multiple signal frame original modulation parameters and corresponding radio frequency feedback signal waveforms, then calculates feedback error indicators composed of phase offset, amplitude distortion and spectral leakage factor according to the radio frequency feedback signal waveforms, quantizes the modulation error, analyzes the feedback signal waveforms in the time-frequency domain, extracts error feature vectors, inputs the pre-trained model for cross-frame correlation learning, generates a dynamic adjustment parameter sequence containing time sequence dependence, and finally constructs a closed-loop feedback control link based on the dynamic adjustment parameter sequence and the original modulation parameters, so as to realize accurate processing and optimized control of the baseband radio frequency signal and effectively improve the signal transmission performance.

The invention discloses a vacuum extrusion device for preparing titanium and titanium alloy, relates to the technical field of titanium and titanium alloy preparation, and aims at solving the problems that an existing device is prone to sealing failure, not thorough in cleaning and low in temperature control precision. The device comprises a vacuum chamber, an extrusion rod, an air passage system, an air source distributor, a temperature monitoring module and an external control module. The working section of the extrusion rod is provided with three sections of spiral grooves, and precise coupling of dynamic sealing, self-cleaning and temperature field regulation and control is achieved through cooperation of an air channel system and multiple air channels. The first section of main sealing spiral groove forms a high-pressure air curtain, the second section of temperature control spiral groove adjusts the temperature in a self-adaptive mode through a shape memory alloy ring, and the third section of cleaning spiral groove conducts deep cleaning through the reverse suction effect. And the external control module adaptively regulates and controls each gas path according to temperature and impurity concentration monitoring data, so that the structure is simplified, the efficiency is improved, the product quality stability is guaranteed, and the batch production requirements of high-quality titanium and titanium alloy are met.

This invention discloses a production control method and system for Polygonatum odoratum instant powder, specifically relating to the field of production control technology. It involves acquiring real-time quality detection data of Polygonatum odoratum raw material batches, analyzing the component structure characteristics and quality fluctuation characteristics of each batch to generate quality assessment data; based on the quality assessment data, selecting candidate process routes from a process route library that match the raw material quality characteristics and calculating the product yield prediction data corresponding to the candidate process routes; based on the quality assessment data, comprehensively evaluating the active ingredient retention level and instant solubility performance indicators under the candidate process routes to generate process performance assessment data; fusing and analyzing the product yield prediction data and process performance assessment data to form optimal process route decision data; and dynamically switching the process parameter configuration of the production line according to the optimal process route decision data to achieve continuous production process control. This invention can effectively improve the batch stability of Polygonatum odoratum instant powder products.

This application discloses a method, system, device, and medium for displaying map content, relating to technical fields such as map applications. The method for displaying map content includes: acquiring basic urban information and urban landmark information; constructing an urban landmark database based on the basic urban information and urban landmark information; determining the number of urban landmarks and landmark display priority data based on the urban landmark database; determining landmark display parameters based on the number of urban landmarks and landmark display priority data; and displaying the landmarks on an electronic map based on the landmark display parameters.

The invention discloses an oxygen cabin exhaust system with a gas source self-adaptive switching function and a control method, and belongs to the technical field of oxygen cabins. Comprising a mask unit, a buffer unit, a suction unit and a switching unit, and the mask unit is used for being in sealing fit with the face of a user; an air inlet of the buffer unit is communicated with the exhaust port of the mask unit, the buffer unit is used for temporarily storing waste gas exhaled by a user, and the internal pressure of the buffer unit changes along with the retention state of the waste gas; the suction unit is a vacuum pump and is arranged outside the oxygen cabin; the switching unit is a mechanical pressure response three-way switching valve and is provided with a first connector, a second connector and a third connector which are communicated, the first connector is connected with the air outlet of the buffer unit, the second connector is exposed in the environment in the oxygen cabin, a valve element is arranged on the second connector, and the third connector is connected with the air inlet of the suction unit; and the switching unit is configured to automatically switch the internal passage according to the pressure difference between the first interface and the second interface. The device is simple in structure, low in cost and high in reliability.

The utility model discloses a kind of evaporators for super-low temperature cryotherapy cabin in the technical field of cryotherapy cabin, including the shell of being fixed on the back of cryotherapy cabin, shell is sequentially provided with precooling chamber, evaporator body and mixing chamber from below to above along vertical direction in;Precooling chamber is equipped with precooling component for using cryotherapy cabin exhaust end waste gas recovery cold quantity to carry out preliminary cooling to fresh air;Evaporator body is used to cool fresh air after precooling to target low temperature;The top of shell is equipped with dosing component for atomizing and spraying medicine to mixing chamber, mixing chamber is used to mix atomized medicine with target low temperature fresh air, and mixed gas is delivered to cryotherapy cabin inside.The device is set through the double cooling structure of precooling component and evaporator body, not only effectively improve the comprehensive utilization of cold quantity, reduce the load of evaporator body, significantly reduce liquid nitrogen consumption.

The scale inhibitor comprises a shell, a first sealing assembly and a second sealing assembly, the shell is provided with a containing cavity and a water passing channel, the first sealing assembly comprises a first switching plug and a first elastic piece, and the second sealing assembly comprises a second switching plug and a second elastic piece. The first elastic piece and the second elastic piece are both made of shape memory alloy. The water flow path can be dynamically selected according to the water temperature, and self-adaptive control over the scale inhibition function is achieved. When the water inlet temperature of the water passing channel is higher than the phase change temperature of the shape memory alloy, the first switching plug and the second switching plug block the first water passing opening and the second water passing opening correspondingly, water does not flow through the containing cavity, and when the water inlet temperature of the water passing channel is lower than the phase change temperature of the shape memory alloy, water can enter the containing cavity. Water is softened after being in contact with the scale inhibitor and then flows out of the containing cavity, and the softened water discharges unsoftened water in the original pipeline, so that the formation of scale is avoided.

This invention discloses a robust flight control system for unmanned helicopters in complex environments based on digital twins, relating to the field of unmanned helicopter technology. It includes an environmental perception data acquisition module, an environmental field quantization module, an aerodynamic digital evolution module, a control command optimization module, and a robust control execution module. By constructing a flight threat field oriented towards wind anisotropy and opportunity constraints, a five-layer environmental risk model is established, generating dynamic flight threat density field data. Joint modeling is performed based on flight data and a reduced-order hydrodynamic model, and adaptive evolution of aerodynamic characteristics is achieved through a dynamic parameter calibration mechanism. Combining the aerodynamic model and the threat density field, a multi-objective optimization function is constructed with trajectory deviation, energy consumption, and safety constraints as objectives, and reinforcement learning is used for policy training. This invention enables adaptive, energy-saving, and safe flight control of unmanned helicopters in strong disturbance and multi-threat environments, improving the robustness of flight control in complex environments.

The invention relates to the technical field of equipment control, in particular to a nitrogen spring assembly production line based on man-machine collaboration, which comprises the following steps: a state sensing module acquires real-time data of a plurality of stations in production line equipment, processes and generates a standard station state vector set, and sends the standard station state vector set to an assembly situation fusion center; the assembly situation fusion center is provided for the rhythm deduction module and the decision optimization module; the rhythm deduction module calculates a rhythm offset quantitative index based on the virtual production line dynamic mirror image and sends the rhythm offset quantitative index to the decision optimization module; the decision optimization module generates a cooperative control instruction set based on the virtual production line dynamic mirror image and the beat offset quantitative index and sends the cooperative control instruction set to the execution cooperation module; and the execution collaboration module converts the collaboration control instruction set into an equipment control signal to be issued and executed, collects an execution state, generates execution feedback data and returns the execution feedback data to the state sensing module and the assembly situation fusion center. According to the invention, assembly rhythm dynamic balance and material circulation self-adaptive control are realized, and the production efficiency is improved.

The embodiment of the application provides a kind of service system optimization method, this method involves distributed system resource management and optimization technical field, this method includes: obtaining the resource data and log data of the consumption service of message middleware system and container cluster system;Extract hardware features and running features from resource data, extract log keyword features and time correlation features from log data, extract downstream features and business features from consumption service data;According to hardware features, running features, downstream features and business features, calculate the consumption service of container cluster system Abnormal score, determine the consumption service abnormal reason type in combination with the above parameters and abnormal score, log keyword features and time correlation features;Obtain resource configuration features, load features and business target features, optimize business system in combination with abnormal reason type.Thereby, the problems such as one-sidedness of monitoring system in related art, dependence on manual for abnormal positioning are solved.

The invention relates to the technical field of drilling engineering, in particular to a top drive torsional pendulum parameter control method and device and a storage medium. The method comprises the following steps: based on well track, top drive torque and screw tool pressure difference data, determining a first depth of a neutral point of shaft bottom drill string reaction torque and shaft bottom torque with reserved safety margin; a top drive torque theoretical value is determined by combining the well track, the drill column structure, the well body structure and the operation parameters; establishing a relation model of a torsion angle and a torque, calculating a theoretical total torsion angle, performing field control to obtain an actually measured torque, and minimizing a deviation between the actually measured torque and a material mechanical model calculation value containing an optimizable coefficient through a Bayesian optimization algorithm to obtain an optimized total torsion angle; the optimized angle and other drilling state parameters are input into a control model based on reinforcement learning training, a top drive torsional pendulum angle control instruction is generated, model parameters are continuously updated according to execution feedback, and intelligent calculation and control of torsional pendulum parameters are achieved.

The application provides an electrostatic purification mode control method and device of an air conditioner, an air conditioner and a storage medium. The method comprises the following steps: in the case that it is detected that the air conditioner starts an electrostatic purification mode, determining operation data of the air conditioner, wherein the operation data comprises air conditioner return air relative humidity, evaporator air duct humidity, fan real-time air volume and electrostatic current attenuation rate; determining humidity compensation voltage of the air conditioner at the current humidity according to the operation data, and determining the final output voltage of the electrostatic module of the air conditioner according to the humidity compensation voltage and the operation data, and controlling the electrostatic module to output the final output voltage to the electrostatic filter screen of the air conditioner to perform adsorption treatment on dust in the air. The method solves the problem that the existing air conditioner has a poor purification effect in the electrostatic purification scene due to the fixed control scheme.

This invention provides an intelligent speed control method, device, and system for a compressed garbage truck, comprising: acquiring operating parameters of the working mechanism and drive mechanism during vehicle operation; determining the current operating state of the vehicle based on the operating parameters; matching a target speed control rule corresponding to the current operating state; generating a target speed control result based on the target speed control rule; and outputting a control signal corresponding to the target speed control result to control the operation of the drive mechanism and adjust the operating speed of the working mechanism. Through this method, the speed of the drive mechanism can be intelligently adjusted according to different operating states, achieving adaptive control of the operating speed of the working mechanism, thereby improving the problems of high noise, high energy consumption, uneven operating speed, deceleration during linked operations, and single operating mode in existing compressed garbage trucks.

A water distributor specifically designed for water-cooled storage tanks includes a valve seat with a valve cover. An inlet pipe is connected to the valve cover, and its lower end extends into the valve seat. A first groove is formed on the valve seat, and several first outlet holes are formed around the inner wall of the first groove. A second groove is formed at the bottom of the inner wall of the first groove. A conical piston is airtightly and slidably installed in the second groove. The conical piston is connected to the second groove by a spring. Under the elastic force of the spring, the top of the conical piston fits against the bottom of the inlet pipe, sealing it. This invention features a simple structure and ingenious design. Through the cooperation of the conical piston and the spring, the gap between the top of the conical piston and the bottom of the inlet pipe can be automatically adjusted according to the water flow pressure, achieving adaptive flow control and avoiding liquid surface disturbance caused by water flow impact. It meets market demands and is suitable for widespread application.

The invention discloses a vehicle shock absorber temperature control system and method, a vehicle and a storage medium. The system comprises a first heat exchange loop, a second heat exchange loop, a multi-way switching valve, a shock absorber, a shock absorber liquid side loop and a controller. The first heat exchange loop is connected with the multi-way switching valve and is used for cooling the cooling liquid to obtain cooled cooling liquid; the second heat exchange loop is connected with the multi-way switching valve and is used for heating the cooling liquid to obtain heated cooling liquid; the controller is set to control the multi-way switching valve to be switched to a target state according to the temperature of the shock absorber, the target state comprises a first state and a second state, the shock absorber liquid side loop is connected with the first heat exchange loop in series through the multi-way switching valve in the first state, and the shock absorber liquid side loop is connected with the second heat exchange loop in series. The shock absorber liquid side loop is connected with the second heat exchange loop in series through the multi-way switching valve in the second state. The technical problem of how to carry out self-adaptive control on the temperature of the shock absorber so as to guarantee normal work of the shock absorber is solved.

The application discloses a controllable automatic clamping hydraulic clamping device and a control method thereof, and belongs to the technical field of hydraulic clamping. The device comprises a clamping mechanism, a supporting mechanism, a driving mechanism, a pressing mechanism and a camera mechanism. The clamping mechanism clamps the workpiece through the cooperation of the clamping jaw A and the clamping jaw B; the driving mechanism adopts a servo motor to drive a lead screw, drives a movable seat to realize horizontal feeding, and realizes accurate positioning through an internal torque sensor; the pressing mechanism corrects the flatness of the surface of the workpiece through a cylinder-driven pressing plate; and the camera mechanism is used for collecting the image of the workpiece. The control method dynamically adjusts the pressing feeding amount by using a fuzzy PID controller through image preprocessing, feature point extraction and position deviation calculation, and combines historical data to perform adaptive optimization. The application realizes full automation and high-precision control of workpiece clamping, and effectively improves the machining quality and production efficiency.

This invention discloses a big data-driven dynamic compensation control method and system for denitrification systems in thermal power units. The method includes: real-time acquisition of operating data from the thermal power unit to form a multi-source raw dataset; hierarchical preprocessing of the raw dataset, analysis, and extraction of fused feature vectors; inputting the fused feature vectors into a pre-defined full-condition adaptive dynamic prediction model to output the outlet concentration and optimal ammonia injection rate at future times; the prediction model includes a transfer learning module for different load conditions and a catalyst activity decay compensation module; based on the prediction results, a multi-timescale dynamic compensation strategy is adopted to generate and execute ammonia injection control commands, and the control parameters are iteratively optimized based on the feedback outlet concentration and ammonia slip rate. This invention achieves precise cleaning and feature extraction of massive operating data, establishes a dynamic compensation model capable of real-time tracking of operating condition changes and catalyst decay status, and realizes precise dynamic adjustment of ammonia injection rate.

The invention discloses a control method and device of an active electromagnetic suspension thermal management system, and relates to the technical field of vehicle thermal management, and the active electromagnetic suspension thermal management system comprises an electromagnetic actuator, a cooling sleeve arranged on the electromagnetic actuator, a front end radiator, a liquid cooling heat exchanger, a three-way control valve, an electronic water pump and an air conditioning system. Comprising the steps that the current temperature of an electromagnetic actuator and road information in front of a vehicle are obtained; predicting thermal load parameters of the electromagnetic actuator based on the road information; determining a target working mode based on the current temperature, a preset temperature threshold value, the thermal load parameter and a preset thermal load threshold value; and based on the target working mode, the target communication state of the three-way control valve, the target operation state of the electronic water pump and the target operation state of the air conditioning system are controlled, so that the cooling liquid is driven to flow along a path corresponding to the target working mode.

The application relates to the technical field of flange end face machining, and discloses an intelligent flange machining device, which comprises a flange clamping mechanism and a flange machining mechanism fixed on a workbench. The flange clamping mechanism comprises a clamping base, a placing assembly and two groups of clamping assemblies. Each clamping assembly is provided with a clamping jaw and a force sensor, and the clamping is realized through a clamping jaw driving cylinder. The flange machining mechanism is connected with the clamping mechanism through first, second and third sliding assemblies, and respectively comprises a driving motor, a transmission screw and a sliding rod, so that the X, Y and Z direction movements of the machining mechanism are realized. A cutter driving unit comprises a machining head assembly, is provided with a cutter box and a milling cutter, and is provided with image acquisition devices on both sides of the machining head. A control module is arranged at the bottom of the workbench and is electrically connected with the image acquisition devices, the force sensors, the clamping jaw driving cylinders and the driving motors. According to the application, the machining scheme can be dynamically adjusted according to the flatness deviation of different regions, and the automatic compensation and optimization of the uneven errors of the end face are realized.

This invention discloses a voltage detection circuit for adaptive dead-time control of motor drives. The system includes AND gates AND1 and AND2, inverters INV1, INV2, and INV3, a high-side driver, a low-side driver, a voltage detection circuit, a high-side power transistor N1, and a low-side power transistor N2. The voltage detection circuit includes a high-voltage transistor NM_H, bias currents I1, I2, and I3, a power supply voltage VDD, constant-voltage transistors PM1 and PM2, constant-voltage transistor NM1, and an inverter INV4. This voltage detection circuit detects the gate voltage of the high-side power transistor. The low-side power transistor only turns on when the gate voltage drops very low, preventing shoot-through between the high and low-side power transistors. This invention can detect high-voltage signals. Its detection principle and circuit implementation are simple, using only one high-voltage device, with a small area, low power consumption, and a wide applicable voltage range. Applying this circuit enables adaptive dead-time control.

The application relates to the technical field of transformers, in particular to a transformer installation and debugging method in power transmission and distribution engineering, which comprises the following steps: connecting a lifting steel wire rope of a crane with a falling micro-control device, connecting the lower end of the falling micro-control device with a transformer lifting device, lifting the transformer to above an installation foundation through the falling micro-control device of the crane, adjusting the position of the transformer to align the transformer with pre-buried parts or installation bolt holes on the foundation; the transformer installation and debugging method is suitable for the installation of intelligent large transformers, can reduce the lifting impact on the intelligent large transformers, and can visually and accurately control the slow descent of the transformer when the transformer falls onto the foundation, so that the falling control is more accurate and stable.

The application relates to a charging control method, device and equipment of a handheld terminal, a storage medium and a program product. The method comprises the following steps: when it is detected that the handheld terminal is connected to a centralized charging cabinet, acquiring charging configuration information of the handheld terminal; the charging configuration information comprises at least one type of configuration information; and the centralized charging cabinet is controlled to charge the handheld terminal according to the charging configuration information. Different types of configuration information are acquired through different ways to determine a charging protocol matched with the battery state of the handheld terminal, the handheld terminal is charged through the charging protocol, the adaptive control of the charging capacity of each charging slot of the centralized charging cabinet can be realized, each slot of the charging cabinet can adjust appropriate charger parameters according to the battery condition of the handheld terminal to be charged, the targeted charging of different types of handheld devices is realized, and the situation that the battery life is damaged due to the inadapted charging mode is avoided.

The application relates to the technical field of intelligent packaging production line automatic control and multi-station collaborative regulation, and discloses an intelligent packaging production line automatic control method and system, the method comprises the following steps: collecting visual and force feedback data, fusing and preprocessing to obtain multi-station integration information, identifying an abnormal mode, determining product switching, and generating a parameter adjustment scheme; issuing a regulation instruction to correct an execution parameter and analyzing a collaborative deviation; collecting updated data to analyze a deviation value and iteratively optimizing the parameter; executing action coordination and monitoring packaging completeness to obtain an adaptive stable state of the production line. The method realizes multi-station working condition collaborative sensing, intelligent adaptation of product switching and dynamic correction of parameters, solves the problems of response lagging, parameter regulation rigidity and insufficient packaging quality stability of a traditional packaging production line, and improves the operation efficiency and finished product qualification rate of the intelligent packaging production line.

This invention discloses a modular welding assembly method and system for steel structure beams and columns, relating to the field of intelligent building industrial technology. The method includes: dividing modular units based on original design data; constructing an actual geometric digital twin model containing manufacturing errors and embedding digital anchor point identifiers; establishing a virtual pre-assembly environment; calculating node gaps, connection plate misalignment, and bevel deviations to generate virtual pre-assembly deviation data; executing a hierarchical error compensation algorithm based on the deviation data and initial thermal deformation coefficient to calculate manufacturing geometric errors, assembly posture errors, and welding thermal deformation prediction compensation matrices, generating welding trajectory correction amounts; establishing a coordinate system mapping on-site through digital anchor points; controlling welding based on the correction amounts and collecting interlayer temperatures; triggering thermal deformation compensation when temperatures exceed limits; collecting post-weld data to correct the thermal deformation coefficient and transmitting it back for optimization. This invention achieves closed-loop control between virtual pre-simulation in the factory and precise execution on-site, solving the industry problem of controlling manufacturing errors and welding deformation.

This application provides a vehicle warning control method, apparatus, and device. The method includes: acquiring the speed of a target vehicle; determining whether there are movable obstacles around the target vehicle when the speed is greater than 0 and less than or equal to a preset speed; if there are movable obstacles, acquiring the ambient sound pressure of the environment where the target vehicle is located, determining a target power based on the ambient sound pressure, identifying a target speaker among multiple speakers, and controlling the target speaker to emit sound based on the target power; and / or, identifying a target vehicle light among multiple vehicle lights and controlling the target vehicle light to flash. This method improves warning efficiency.

The invention relates to the technical field of ice cream processing, and discloses a raw material preparation method and system.The raw material preparation method comprises the steps that various raw materials are mixed to form an ice cream mixture, and the mixture is subjected to temperature and shear force synergistic treatment; monitoring the dynamic viscosity and temperature data of the mixture in real time, and inputting the dynamic viscosity and temperature data into the collaborative regulation and control model; according to the model output, dynamically adjusting temperature and shearing action parameters in the co-processing process to enable the state of the mixture to approach to a preset target state; calculating an expansion rate index predicted value and a melting resistance index predicted value based on the regulated and controlled state data of the mixture; and comparing the predicted value with a preset target value, and correspondingly adjusting the raw material preparation parameters and the material pretreatment parameters according to a comparison result. Through real-time monitoring, model cooperative regulation and prediction feedback, closed-loop and adaptive control of the ice cream production process is realized, and the problem that the expansion rate and the melting resistance of the ice cream are difficult to control is solved.

The invention provides a high-strength steel rolling working condition self-adaptive control method based on digital twinning drive, which comprises the following steps: acquiring rack operation parameters and a strip steel temperature field, and constructing rolling state characterization of a unified time reference based on the rack operation parameters and the strip steel temperature field. And driving the digital twin model to perform rolling operation simulation under the current structure compensation parameters through rolling state characterization so as to generate a reference deformation energy benchmark of the structure compensation constraint. And comparing the reference deformation energy benchmark with the actual deformation energy evolution result to calculate the material behavior deviation value caused by the material flow characteristics. And on the basis of the material behavior deviation value, the corresponding material behavior representation in the digital twin model is directionally updated to generate a rolling control reference state and an instruction packet, so that self-adaptive control only aiming at the material change is realized, the model is kept stable and the control is effective in a long-term coupling scene of roll system wear and plate shape control, and the rolling control accuracy is improved. And the certainty of the correction direction is ensured.