1272results about "Roll mill control devices" patented technology

The invention relates to the technical field of metal plastic processing, and provides an integrated digital twinning large-specification bar rolling dynamic deformation distribution optimization method which comprises the following steps: constructing a digital twinning model in a large-specification bar rolling process; equipment state data, material parameters and process parameters in the rolling process are collected in real time, and the digital twin model is synchronously updated; based on the digital twinborn model, predicting strain field distribution, temperature field distribution, material metallographic structure performance and potential defect risk of the rolled piece in the current pass; with the minimum total rolling energy consumption, the highest size precision and the optimal structure uniformity as multiple objectives, deformation distribution parameters of subsequent passes are dynamically distributed through a hybrid optimization algorithm; and the optimized deformation distribution parameters are issued to a rolling mill control system to be executed, and model parameters are corrected based on online detection data feedback. In this way, the problems that in traditional rolling, due to strong experience dependence and poor dynamic working condition adaptability, efficiency is low, and many defects exist are solved.

The invention relates to the technical field of intelligent regulation and control of fusion data, in particular to a rolled finished product-based size precision intelligent regulation and control system and method, which comprises a data acquisition unit, a data fusion unit, a deep learning prediction unit and a compensation execution unit, multi-source data such as temperature gradient, roll gap fluctuation and tension spectrum are collected in real time through a sensor array, thermal expansion compensation correction is carried out through a data fusion unit based on a rolling elasticoplastic deformation equation, an anti-interference coupling feature vector is generated by using adaptive Kalman filtering, and a deep learning prediction unit is used for predicting the rolling elasticoplastic deformation through a dual-channel space-time convolutional network. The thickness error and the width error are predicted by combining the constraint of a rolling force balance equation, the compensation execution unit dynamically generates the roll gap adjusting amount and the rolling force compensation amount according to a three-level response mechanism, phase lag compensation current is injected to suppress resonance, the high-end steel yield and the rolling precision are improved, and the rolling quality is improved. And an intelligent closed-loop control scheme is provided for high-precision rolling under complex working conditions.

The invention discloses a rolling process stability control method based on multi-modal fusion fault diagnosis, and belongs to the technical field of intelligent control of steel production. Comprising the steps of collecting rolling process fault data, establishing an original fault data set, and dividing the original fault data set into a training set and a test set; simulating and generating fault data by adopting a mechanism model corresponding to each fault type, and performing data enhancement on the training set to obtain a mechanism enhancement data set; generating fault data by adopting a time sequence generative adversarial network, and performing data enhancement on the mechanism enhancement data set to obtain a fusion enhancement data set; constructing a fusion data enhanced multi-modal fusion fault diagnosis model based on the fusion enhanced fault data set; and the established fault diagnosis model is used for fault diagnosis in the rolling process, and a rolling stability control strategy is formulated based on a diagnosis result. According to the control method, the time domain feature and the frequency domain feature of the fault are fused to achieve high-precision fault diagnosis, then the corresponding control strategy is implemented based on the diagnosis result, and then rolling stability online control is achieved.

The invention relates to the technical field of lithium battery manufacturing equipment, and discloses a rolling thickness control method and device, electronic equipment and a storage medium. According to the method, in the working process of the roller press, the real-time thickness of a machined object of the roller press is measured, the real-time thickness is compared with the target thickness, all adjusting parameters in a PID control algorithm are updated according to the comparison result, and the adjustment amount of the rolling parameters of the roller press is calculated through the PID control algorithm with the updated adjusting parameters. And therefore, closed-loop control on the rolling thickness is realized. In the working process of the roller press, the adjusting parameters of the PID control algorithm are updated on line according to the real-time condition, extra manpower and time do not need to be occupied for updating the adjusting parameters of the control algorithm, manpower and time consumption is saved, the adjusted adjusting parameters can better adapt to the real-time working condition of the roller press, and the working efficiency of the roller press is improved. And the accuracy of controlling the rolling thickness is improved.

The invention provides an aluminum product rolling process real-time monitoring and optimizing system based on digital twinning, and relates to the technical field of power battery aluminum foil rolling. The monitoring and optimization system comprises a data acquisition module, a digital twin modeling module, a real-time monitoring module, a dynamic optimization module, a feedback control module, a green manufacturing optimization module and a cross-alloy adaptive module. According to the aluminum product rolling process real-time monitoring and optimizing system based on digital twinning, the data acquisition module, the digital twinning modeling module, the real-time monitoring module, the dynamic optimizing module, the feedback control module, the green manufacturing optimizing module and cross-alloy self-adaption work cooperatively; the defects in the aspects of data acquisition and integration, process parameter optimization and anomaly detection, energy consumption optimization and green manufacturing in the prior art are overcome.

The invention discloses a cold-rolled strip steel rolling control method and related equipment, and relates to the technical field of strip steel rolling, and the method comprises the steps that a first deviation rectification value and a second deviation rectification value in the strip steel running process are obtained in real time; based on the first deviation correction value, the rolling speed of the rolling mill is adjusted to a preset speed; after the rolling speed is adjusted, the tension parameter and the roller inclination parameter of the target rack are dynamically adjusted based on the second deviation correction value; and the tension parameter and the roller inclination parameter are recovered to initial set values so as to maintain the continuous stability of the rolling process. According to the method, the deviation correction values in front of the pickling section outlet and the rolling mill inlet are obtained in real time, the rolling speed and the shearing speed are dynamically adjusted before the strip steel enters the rolling mill, the tension parameters of the rack and the inclination direction of the rollers are accurately adjusted in combination with feedback of the second deviation correction value, and the deviation trend caused by camber defects is effectively restrained; and the rolling continuity and stability are improved.

The invention discloses a non-oriented silicon steel multi-roller continuous rolling plate shape control process which comprises the following steps: establishing a multi-dimensional dynamic model, and constructing a rolled piece-roller-cooling multi-dimensional physical field coupling model; designing a multi-section polynomial roll-shaped structure, and adjusting parameters of each section of a roll-shaped curve according to the characteristic parameters of the plate strip; setting a dynamic control weight, and adjusting the control priorities of roll bending, roll shifting and rolling force in real time according to the rolling stage; executing plate shape prediction and correction, and updating a control quantity influence coefficient by utilizing a self-adaptive correction technology; and performing plate shape evaluation and optimization, and performing multi-objective optimization according to objective functions of plate shape deviation, energy consumption and roller consumption. By constructing a rolled piece-roller-cooling multi-dimensional physical field coupling model, adopting a multi-section polynomial roller shape structure and a dynamic weight adjustment technology and combining a self-adaptive correction and multi-objective optimization method, the high-order wave shape control problem is effectively solved, and accurate plate shape control in the whole rolling process is achieved.

The invention discloses a self-speed-setting type metal pipe continuous cold rolling device, and relates to the technical field of metal pipe continuous rolling, the self-speed-setting type metal pipe continuous cold rolling device comprises a workbench, the workbench is fixedly connected with a connecting frame, one side of the connecting frame is provided with an inlet used for placing a blank pipe, and the other side of the connecting frame is provided with a metal pipe used for moving out the metal pipe formed by continuous cold rolling. The side, close to the inlet, of the connecting frame is rotationally connected with a rolling roller set, and the side, close to the outlet, of the connecting frame is rotationally connected with a shaping roller set. In the rolling process, when the load of the motor is large due to large resistance, the power of the middle forming roller is cut off, and only the power of the rolling rollers responsible for rolling and the power of the shaping rollers responsible for shaping are reserved, so that the rolling rollers and the shaping rollers on the two sides share the main working load, the overall pressure of equipment can be effectively relieved, and the service life of the equipment is prolonged. The service life of equipment is prolonged, abrasion of a transmission system and a motor is reduced, shutdown caused by too large pressure of the motor is avoided, and the production efficiency stability is guaranteed.

The invention discloses a thickness control method for a single-stand steckel mill, which belongs to the field of metallurgical automation control and comprises the following steps: acquiring the distance between the steckel mill and an inlet side thickness gauge, the distance between the steckel mill and an outlet side multifunctional instrument, the rigidity of the mill in forward rotation and the rigidity of the mill in reverse rotation; whether the thickness difference detected by instruments on the two sides of the steckel mill is used for feedforward control or feedback control is determined; according to the running speed of the strip steel under the feed-forward control detection instrument and the distance between the feed-forward control detection instrument and the steekle mill, the roll gap feed-forward adjustment amount is calculated; according to the running speed of the strip steel under the feedback control detection instrument and the distance between the feedback control detection instrument and the steckel mill, the roll gap feedback adjustment amount is calculated; and calculating the final execution adjustment amount of the steekle mill roll gap in combination with the roll gap feedforward adjustment amount and the roll gap feedback adjustment amount. The method solves the problem of thickness control in the reversible rolling process of the single-stand steckel mill, and has positive significance in improving the thickness control quality of the single-stand steckel mill.

The invention provides a seamless steel tube and a preparation method thereof. The preparation method comprises the following steps that S1, metallurgical raw materials are smelted, and a blank is obtained; s2, perforating the blank to obtain a tubular billet; s3, the tubular billet is rolled, an obtained pierced billet is subjected to first rapid cooling, the first rapid cooling comprises first rapid cooling and second rapid cooling, and the temperature of the pierced billet is reduced by 30-150 DEG C in the first rapid cooling process; the temperature of the pierced billet is reduced by 30-150 DEG C in the second rapid cooling process; s4, the pierced billet subjected to first rapid cooling is subjected to sizing or reducing treatment, an obtained steel pipe is subjected to second rapid cooling, and the temperature of the steel pipe subjected to second rapid cooling ranges from 550 DEG C to 650 DEG C; and S5, the steel pipe obtained after second rapid cooling is subjected to air cooling. By reasonably arranging the cooling path, the hot-rolled seamless steel pipe with small straightness and ovality and excellent obdurability can be obtained.

The invention provides a seamless steel pipe for a hollow anchor rod and a strength regulation and control method thereof. Alloy steel round steel is heated and then subjected to hot piercing to be manufactured into a hollow pipe blank; the hollow pipe blank is subjected to spheroidizing annealing treatment and then cooled, and a first treated steel pipe is obtained; wherein the ferrite grain size D1 of the first treated steel pipe is calculated according to a spheroidizing annealing grain size model; the first treated steel pipe is subjected to cold finish rolling forming and cleaned to obtain a second treated steel pipe; the ferrite effective grain size Ddef of the second treatment steel pipe is calculated according to the cold deformation grain refinement model; recrystallizing and annealing the second treated steel pipe to obtain the seamless steel pipe; the ferrite grain size D2 of the seamless steel pipe is calculated according to the recrystallization grain evolution model; the yield strength Rp0.2 of the seamless steel pipe is calculated according to a strength model; reverse design of the yield strength of the seamless steel pipe is achieved, and meanwhile it is guaranteed that the seamless steel pipe has good plasticity.

The invention relates to the field of equipment control, in particular to a water tank penetrating air source self-adaptive adjusting method and system. The method comprises the following steps: acquiring a finishing mill start-stop signal and a wire rod head position signal in real time; dynamically calculating the residual distance from the head of the wire rod to the penetrating water tank, and generating a dynamic delay opening threshold value; the electromagnetic valve is controlled to open the pneumatic ball valve in a sectional manner; monitoring the covering length of the wire rod and converting the covering length into an equivalent gas resistance value; a dynamic pressure compensation amount is generated through a pressure closed-loop controller; the opening degree of the pneumatic ball valve is adjusted accordingly; when the finishing mill stops, the pneumatic ball valve is triggered to be closed, and a gradient pressure relief turn-off program is executed if necessary. By means of the distributed sensor array and the multi-mode recognition neural network, real-time accurate monitoring and analysis of the operation state of the pump set are achieved, dependence of post personnel is reduced, and the automation degree and stability are improved. And by dynamically optimizing the control strategy, the pump set system operates efficiently, energy waste is reduced, the energy utilization efficiency is improved, and the production cost is reduced.

The embodiment of the invention discloses a coiling machine control method and related equipment, and relates to the technical field of smelting, the method comprises the following steps: when a rolling task changes, and the changed rolling task needs to call different coiling machines or the changed rolling task generates hot rolled strip steel with different sizes; obtaining a first distance between a finish rolling tail frame and a pinch roll of a second coiling machine, a second distance between the finish rolling tail frame and the head of the second strip steel, an output speed of the finish rolling tail frame, a third distance between the finish rolling tail frame and a pinch roll of a first coiling machine, a fourth distance between the finish rolling tail frame and the tail of the first strip steel and a coiling speed of the first coiling machine; calculating a first duration for the head of the second strip steel to reach the second coiling machine and a second duration for the tail of the first strip steel to enter the first coiling machine; judging whether a difference value between the first duration and the second duration meets a preset condition or not; and if the preset condition is not met, calculating target coiling data of the first coiling machine based on the preset condition to control the first coiling machine.

The invention relates to the technical field of hot continuous rolling material performance prediction, and discloses an efficient hot continuous rolling material performance prediction method and system, and the method comprises the steps: achieving the multi-source data cleaning through multi-dimensional outlier detection and cross-rack space-time interpolation, building a material component graph model, capturing the interaction of elements, and predicting the performance of a hot continuous rolling material. And fusing physical characteristics and gene coding characteristics by adopting a space-time attention mechanism. Cross-production-line model parameters are integrated based on a federated learning framework, model robustness is optimized in combination with physical conservation constraint and adversarial training, and finally, optimal process parameters are inverted through a sequential quadratic programming algorithm and PLC closed-loop control is realized. By adopting a multi-dimensional outlier detection algorithm and a cross-rack space-time interpolation technology, the problems of poor synchronism and abnormal missing detection of a traditional data cleaning method in a hot continuous rolling multi-source heterogeneous data scene are solved, and data quality enhancement in a high-noise environment is realized by joint distribution statistics and physical law constraints.

The invention relates to the technical field of copper material preparation, in particular to a method for reducing surface copper powder in the rolling process of a copper rod, which comprises the following steps: dividing the rolling process into a plurality of process sections, and supplying different lubricants to each process section; establishing a correlation model of the process parameters and the copper rod performance, and generating a process parameter feasible region according to the target performance of the copper rod; roller surface parameters of all the process sections are monitored respectively, and the surface topography variation is calculated; when the surface topography variation is larger than a set value, rolling process parameters are adjusted; monitoring the surface topography variation corresponding to the adjusted rolling process parameters, and comparing the surface topography variation with a set value; the surface topography variation is smaller than a set value; and when the rolling process parameters are adjusted to the feasible region boundary and the surface topography variation is greater than a set value, alarming. According to the method, a whole-process closed-loop control system of process segmentation optimization-dynamic monitoring adjustment-rapid emergency response is constructed, fundamental control over the copper powder problem is achieved, and the rolling process is better promoted to be transformed to be intelligent and refined.

The invention discloses an intelligent early warning system for stainless steel cold rolling pipeline butterfly valves, and relates to the technical field of cold rolling production process monitoring, the system comprises a filtering tank, a plurality of oil outlet butterfly valves, a liquid level detection unit and a control module, the liquid level detection unit is arranged in the filtering tank and is used for collecting liquid level data of rolling oil in real time; the control module is used for calculating a speed curve of the liquid level changing along with time based on the liquid level data, comparing the liquid level descending speed with a preset speed threshold value so as to judge the operation state of the multiple oil outlet butterfly valves and outputting corresponding multi-stage early warning information; according to the invention, single-valve-level accurate detection can be realized, unfiltered rolling oil is prevented from entering the oil cleaning tank, the defect rate of spot marks on the surface of a steel coil is reduced, the qualification rate of cold-rolled products is improved, meanwhile, the manual inspection cost is reduced, and the system intelligence and maintenance convenience are improved; the technical problems of limited adaptive scene, accurate detection, information distortion, misjudgment risk and lack of an automatic early warning mechanism in the existing early warning technology are solved.

The invention discloses a continuous rolling unit control method and device, equipment and a medium. The continuous rolling unit control method comprises the steps that an associated signal generated by a fault thickness gauge is shielded; according to strip steel thickness measurement data measured by a non-fault thickness gauge in front of the fault thickness gauge on the front and back strip steel of the strip steel welding seam and rolling parameters of a previous rack before the front and back strip steel passes through the fault thickness gauge, the corresponding calculation thickness of the front and back strip steel passing through the previous rack is determined; according to the difference value of the set thicknesses of the front strip steel and the rear strip steel stored by the fault thickness gauge, setting a dynamic variable specification parameter of a rear rack behind the fault thickness gauge, and enabling the dynamic variable specification parameter to meet a straight line beveled equation; and according to the calculated thickness and the dynamic variable specification parameters, the roll gap of the next rack is adjusted, and welding seam rolling is conducted on the front strip steel and the rear strip steel. The strip breakage of the rolling mill caused by instant overlarge rolling reduction during dynamic specification change of the rack is avoided, and the production efficiency and the production quality are guaranteed.

The invention relates to the technical field of digital twinning, in particular to a steel processing equipment self-adaptive control method based on digital twinning, which comprises the following steps: acquiring real-time signals such as displacement, load, rotating speed and inter-unit tension of an actuating mechanism, inputting the real-time signals into a digital twinning model, and constructing an instantaneous dynamic geometric model to calculate an instantaneous feedback value of a controlled object; the influence coefficient between the first control loop and the second control loop is analyzed through virtual perturbation, and a partial derivative sensitivity matrix is generated; and then, inputting the instantaneous feedback value into a self-adaptive controller to obtain an original control increment, calculating a compensation control increment of a second execution mechanism in combination with an actually measured morphology deviation signal and an influence coefficient, and finally driving a controlled object to complete action response. A cyclic storage buffer area is established, and asynchronous timestamp alignment based on spatial displacement is executed. Through multi-physics field coupling and asynchronous correction, self-adaptive control over the steel machining equipment is achieved.

The invention provides a strip steel offset detection method and device, equipment and a storage medium, and the method comprises the steps: obtaining an initial production image of to-be-detected strip steel at a target production node, obtaining the position information of a roller way center line of a finishing mill frame, extracting a strip steel contour from the initial production image, and obtaining the strip steel contour information; determining strip steel center line position information based on the strip steel contour information, calculating an actual deviation value of the to-be-detected strip steel according to the strip steel center line position information and the roller way center line position information, and determining a strip steel deviation state according to a comparison result of the actual deviation value and a preset deviation threshold value; according to the method, the outline of the strip steel is automatically extracted through the image processing technology, the offset is accurately calculated, real-time monitoring and objective judgment of the offset state are achieved, the offset can be quantified automatically, objectively and accurately, manpower and material resources consumed in the production process are reduced, and safety and management efficiency in the strip steel production process are improved.

The invention discloses a pinch roll gap cascade control system with an automatic calibration function. The pinch roll gap cascade control system comprises a hydraulic module, a detection module and an upper computer, the hydraulic modules are arranged on the two sides of the pinch roll device. The detection module is arranged on the hydraulic module; the upper computer is connected with the hydraulic module and the detection module. The invention further discloses a pinch roll gap cascade control method with the automatic calibration function. The invention provides a control system which is good in pinch roll gap adjusting effect and considers automatic calibration in the high-precision steel plate production process.

The invention discloses a seamless stainless steel pipe multi-stage cold rolling device, and belongs to the technical field of cold rolling. The device mainly comprises a feeding base; the auxiliary discharging assembly comprises a discharging frame installed on one side of the feeding base, a housing is installed on the discharging frame, two sets of second air cylinders are installed at one end of the housing, and a pushing plate is connected between the telescopic ends of the two sets of second air cylinders; the discharging unit comprises mounting frames mounted on the two sides of the discharging frame, and a discharging cover is mounted between the two mounting frames; the buffering unit is provided with a plurality of sets of springs installed on the feeding base, and a buffering plate is installed at one end of each spring. According to the multistage cold rolling device for the seamless stainless steel pipe, the discharging frame is matched with the limiting unit so that the steel pipe can be stably placed in a matched mode, and intermittent precise discharging is achieved through a second air cylinder and a stepping motor under the control of the controller; the buffer unit buffers impact through a spring and a buffer plate, and a limiting plate prevents rolling, so that the steel pipe is prevented from being damaged.

The invention relates to the technical field of rolling mill automatic control, in particular to a special rolling mill controller without a PLC framework and an integrated control system, and aims to solve the problems that in rolling of a rolling mill, the sampling rate difference of pressure and thickness sensors and material plastic deformation accumulation cause the time sequence dislocation of a rolling force peak value and a thickness valley value, the collaborative utilization of data by a thickness control algorithm is influenced, and the cost is reduced. In order to solve the problems that rolling force, thickness data and roller pulse signals are collected through a special controller, and a rolling length observation benchmark is converted; the dynamic phase compensation unit calculates a plastic deformation cumulant, after triggering compensation, a basic phase difference is established based on a sampling rate difference, a compensation coefficient is dynamically increased, a compensation data segment is generated through linear interpolation, and a time sequence is forcibly aligned; and the integrated control unit inputs the alignment data into a thickness control algorithm, the rolling force serves as feedforward, the thickness data serves as feedback, a precise roller gap adjusting instruction is generated, and the material thickness rolling precision is improved.

The invention discloses an automatic detection and control method for a pressing roller in an SSP area. The automatic detection and control method comprises the following steps that S1, strip steel enters a waiting position; s2, whether the strip steel enters a pressing roller or not is judged, if yes, the step S3 is executed, and if not, the step S1 is executed again; s3, whether the main crank is at a set angle or not is judged, if yes, the step S4 is executed, and if not, the main crank is located at a second load position; s4, the main crank is located at a first load position; s5, whether the pressure of the pressing roller is larger than a set threshold value or not is judged, if yes, the step S6 is executed, and if not, the step S4 is executed again; s6, the pressing roller executes pressure control; and S7, whether the strip steel leaves the pressing roller or not is judged, if yes, the step S1 is executed, and if not, the step S6 is executed. It is guaranteed that the pressing roller of the strip steel does not slip, impact can be greatly reduced, roller face abrasion of the pressing roller is reduced, and the service life of the pressing roller is prolonged.

The invention relates to an aluminum plate strip rolling thickness control method and system based on thickness data simulation. The method comprises the steps that real-time working condition data in the aluminum plate strip rolling process is obtained; a roller thermal expansion dynamic model is constructed, the roller thermal crown is calculated in real time based on the real-time working condition data, and the thickness compensation amount is generated according to the roller thermal crown; a thickness dynamic response model is constructed, based on real-time working condition data, the thickness deviation, the thickness deviation change rate and the cumulative sum of the thickness deviation of the aluminum plate strip are calculated, and the thickness adjusting amount is calculated through a PID control algorithm; the thickness compensation amount and the thickness adjusting amount are fused, and a hydraulic pressing position adjusting instruction is generated; the hydraulic automatic thickness control system drives a hydraulic cylinder to adjust a roller gap according to the hydraulic screw-down position adjusting instruction; the method has the advantages that the thickness compensation amount based on multi-section temperature accurate calculation and the thickness adjusting amount based on real-time deviation dynamic adjustment are efficiently fused, and the thickness control precision and the dynamic response speed are remarkably improved.

The width control method in the hot continuous rolling and rough rolling cross rolling process comprises the steps that casting blank parameters, product parameters, roller parameters and technological parameters are determined; the rolling reduction of each pass of flat rollers of the rough rolling double racks and the rolling temperature of each pass are calculated; calculating the width free broadening amount of each pass, the total free broadening amount and the width value after broadening; calculating the total width reduction amount of the vertical rolls of the roughing mill unit, the width reduction amount of each pass and the width of the steel plate after width reduction; according to the dog bone recovery broadening coefficient and the free broadening coefficient of the previous rolled steel plate, the free broadening coefficient and the dog bone recovery broadening coefficient of the current steel plate during cross rolling are determined; calculating the free broadening amount and the dog bone recovery amount after the width is reduced and the dog bone is rolled by the flat roll; calculating a new width reduction amount of each pass and a set value of the width of the steel plate in each pass after width reduction; and according to the set value of the steel plate width of each pass, the vertical roll opening degree control value in the rolling width control process of each pass is obtained through calculation.

The invention provides a strip steel hot continuous rolling industrial process monitoring method and device, and relates to the technical field of ferrous metallurgy industrial process monitoring. The method comprises the following steps: an off-line modeling stage: collecting multi-dimensional sensor data in the strip steel hot continuous rolling industrial process for standardized cleaning; carrying out data enhancement on the cleaned data by adopting DDIM; random shielding is carried out by using a feature focusing cooperation mechanism based on random shielding; constructing an unsupervised process monitoring model, and training the constructed unsupervised process monitoring model by using the data after the shielding operation; processing data reconstructed by the trained unsupervised process monitoring model by adopting a kernel density estimation method, and determining a control limit; and an on-line monitoring stage: judging whether the current sample is normal or not by using the control limit to realize abnormal working condition detection. By adopting the method, the monitoring sensitivity of the strip steel hot continuous rolling industrial process can be improved.

This method for predicting the width of a finished product predicts the width of a finished product in a hot rolling line, the hot rolling line including a heating furnace for heating a slab, a roughing mill for roughing the heated slab to produce a roughed product, and a finishing mill for finishing the roughed product to produce a finished product. The method for predicting the width of the finish-rolled material includes a prediction step for predicting statistical information of the width of the finish-rolled material using a width prediction model learned by a Gaussian process regression method. The width prediction model includes, as input data, a set value or a measured value of the width of the rough rolled material and one or more operating parameters selected from among the operating parameters of the finishing mill, and takes statistical information of the width of the finish rolled material as output data.

The invention relates to an aluminum plate casting and rolling control method and system, and the method comprises the steps: collecting real-time technological parameters, including molten aluminum temperature, aluminum plate thickness, rolling speed, rolling pressure, cooling speed and surface quality information, in an aluminum plate casting and rolling process, and predicting aluminum plate temperature distribution, stress strain, thickness change and potential defects based on thermodynamics and mechanical models; the casting speed, the rolling speed, the rolling pressure and the cooling condition of the molten aluminum are dynamically adjusted, closed-loop control is achieved, the system comprises a data acquisition module, a data processing and analysis module, a control and execution module and a man-machine interaction and visualization module, and the system supports automatic correction of thickness deviation and surface defects, abnormal alarm and historical data analysis. The method adopts model predictive control, an artificial intelligence algorithm or a hybrid optimization algorithm to realize adaptive control. The method has the advantages that the thickness uniformity and the surface quality are optimized, the production efficiency and reliability are improved, and the safe, intelligent and efficient operation effect in the aluminum plate casting and rolling process is achieved.

The invention relates to the technical field of cold-rolled strip steel, and discloses a cold-rolled strip steel first-pass precise parking system, which comprises an operation interface module, which is arranged in a rolling mill main operation room and an entrance cantilever platform, is provided with a trigger button, and is used for generating a delayed parking instruction after a welding seam is separated from an uncoiling machine mandrel; the linear speed calculation module is used for dynamically calculating the inlet real-time linear speed according to the main rolling mill linear speed reference value and the inlet and outlet real-time thickness data; the downtime calculation module is used for generating a downtime variable based on a preset downtime distance and the entrance real-time linear speed; and the TON delay module is used for controlling the rolling mill to execute precise shutdown, so that the error of the distance between the welding seam and the rolling mill roll gap is smaller than 0.2 m. Through the linkage control of the trigger button of the operation interface module and the TON delay module, the shutdown time is accurately calculated by using the real-time linear speed of the inlet and the preset shutdown distance, the yield of the cold-rolled strip steel is improved, the waste of raw materials is effectively reduced, and the production benefit is improved.

A variable curvature bending arc control method for a roll bending machine includes specific steps as follows: collecting and pre-processing data; initializing the network structure, and determining the parameters such as a number of input layer nodes, hidden layer nodes and output layer nodes and other parameters of the back propagation neural network according to the learning sample data; encoding a weight value and a threshold value of a back propagation neural network into individuals in a population according to set coding rules, and initializing the population according to a set population size and a random initialization method; GA-PSO iterative operation; initializing the back propagation neural network parameter; training the back propagation neural network; and an application of the control model. The control method accurately controls the variable curvature bending arc torque for the roll bending machine by combining genetic algorithm, back propagation neural network and particle swarm optimization.