1565results 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.

A cold rolling processing line-based digital steel coil real-time data tracking method and system. The method comprises: defining and configuring devices and positions on a cold rolling processing line, the configurations comprising position names and tracking modes, wherein the tracking modes include a first-stage tracking mode and a second-stage tracking mode; circularly traversing first-stage tracking message data and second-stage tracking message data, and matching each tracking position with material information; recording a material information change moment on each tracking position in real time to obtain the time of arrival and time of departure of a material at each tracking position; and meanwhile, on the basis of real-time production data of the material, in combination with the length by which and the moment at which the lead head of a steel coil passes the position, performing parameter calculation of the production data, including: length calculation, maximum / minimum average value calculation, multi-process standard hit rate calculation and alarm calculation. The method can accurately reflect actual production conditions, reduce the shutdown failure rate of the processing line, and greatly improve the product quality and the production efficiency.

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 provides a continuous production method of a high-strength and high-toughness austenitic stainless steel plate with a 3D full-gradient structure, and belongs to the technical field of stainless steel plate production. According to the method, an austenitic stainless steel plate is subjected to cold rolling and cutting, the size specification and the surface quality of the austenitic stainless steel plate are controlled, and then the rolled austenitic stainless steel plate is subjected to austenitizing treatment; or the austenitic stainless steel plate is firstly subjected to hot rolling to control the size specification, then rapid cooling is conducted, and the coarse-grain single-phase austenite structure is obtained. And then, reciprocating torsional deformation is conducted on the coarse-grain single-phase austenitic stainless steel plate, on the basis that the macroscopic size specification of the coarse-grain single-phase austenitic stainless steel plate is not changed, combination of the strength and the toughness of the coarse-grain single-phase austenitic stainless steel plate is greatly improved, and finally the plate is rolled into a The size specification and the surface quality of the plate are accurately controlled by adjusting a rolling process; and meanwhile, controllable construction of a 3D full-gradient structure is achieved by regulating and controlling reciprocating torsion technological parameters, and therefore cooperation of high strength and high toughness is achieved.

Embodiments of the present disclosure provides a method and device for constructing a multi-dimensional coupled vibration identification model for a roll system of a strip mill, the method comprising: performing preprocessing, signal decomposition, and reconstruction of the multi-dimensional data for the roll system of the strip mill monitored through technical monitoring by multiple sensors during a working process of the strip mill, and performing feature extraction of the reconstructed data using a wavelet packet energy approach; obtaining an initial multi-dimensional coupled vibration feature local identification model for the roll system of the strip mill based on Support Vector Machine (SVM) by using a Gaussian radial basis function as a kernel function of the SVM model; and training the initial multi-dimensional coupled vibration feature local identification model for the roll system of the strip mill using a multi-source heterogeneous information fusion approach based on the feature vector to obtain the multi-dimensional coupled feature identification model for the roll system of the strip mill.

The invention discloses a full-automatic deviation rectification control method for strip steel in the finish rolling process, and belongs to the field of hot rolling and finish rolling processes. According to the method, images in the strip steel rolling process are collected through a camera and sent to a server to recognize and calculate the deviation amount of the strip steel, then the deviation amount is sent to an automatic control system, the automatic control system predicts the deviation trend of the strip steel through a deviation amount fitting curve, a rack is leveled most weekly according to the deviation trend of the strip steel and closed-loop control over the deviation amount, and the strip steel is rolled. Therefore, strip steel deviation rectification is realized. Visual identification, artificial intelligence and automatic control can be effectively combined, full-automatic deviation correction of the strip steel in the finish rolling process is achieved, the purpose that a camera and an automatic control system are used for replacing an operator to conduct leveling intervention on deviation of the strip steel in the finish rolling process is achieved, rolling breakage or scrap steel caused by deviation of the finish rolling strip steel can be effectively reduced, and the production efficiency is improved. The loss of the working roller and the risk of manual misoperation are reduced, and the precision rolling stability, the rolling line automation rate, the labor efficiency and the yield are improved.

The invention relates to a method for preventing rear-end collision of strip steel in a coiling area. The method comprises the steps of collecting data, calculating safety time, feeding back the safety time, adjusting the speed of a finishing mill and the like. According to the method for preventing the rear-end collision of the strip steel in the coiling area, the traditional mode that the rolling rhythm is given depending on artificial experience is changed, only the preparation time of coiling field equipment is accurately calculated, the steel feeding condition is automatically judged, the fastest rhythm does not need to be given manually, the dependence on manpower is changed, and the production efficiency is improved. And the labor intensity of operators is reduced, the automatic steel rolling level is improved, and meanwhile, steel scrap accidents caused by inaccurate rolling rhythm calculation are avoided. Through a process control program, accurate tracking of the head and tail positions of the strip steel is achieved, automatic speed keeping or speed reduction is achieved through program judgment, effective automatic feedback control is provided for uncertainty of process control, and deep promotion of the extreme cost of a company on the production line is boosted.

The invention discloses a self-adaptive rolling mill thickness control system and a fault-tolerant control method, equipment and medium thereof, and belongs to the technical field of intelligent control of rolling mill thickness control systems, and the method comprises the following steps: step 1, initializing a self-adaptive fault-tolerant thickness controller; 2, setting a state expected value of a rolling mill thickness control system; step 3, collecting the actual state value of the thickness control system of the rolling mill; 4, calculating the deviation between the expected state value and the actual state value; 5, estimating the fault of the actuator in an online self-adaptive manner according to the deviation value; step 6, calculating a control signal output by a self-adaptive fault-tolerant thickness controller according to the estimated value of the actuator fault; and 7, the control signal is transmitted to an actuator of the rolling mill thickness control system, and the actuator conducts current adjustment according to the control signal. The intelligent level of the system is improved, and the system is suitable for the complex control requirements of the modern industry for high reliability and high efficiency.

The invention discloses a seamless steel tube outer diameter process parameter optimization setting method, and belongs to the technical field of seamless steel tube rolling, and the method comprises the steps: building a seamless steel tube outer diameter prediction model based on seamless steel tube production process parameters; process parameters needing to be optimized are determined, and the allowable adjustment range of all the process parameters needing to be optimized is determined; determining process parameter adjustment strategies under different outer diameter deviation degrees; and on the basis of the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter needing to be optimized and the process parameter adjustment strategies under different outer diameter deviation degrees, in combination with actual production process requirements, by taking the minimum outer diameter deviation of the seamless steel pipe as a target, constructing a process parameter optimization setting model, and realizing optimization setting of the process parameters. By adopting the seamless steel pipe outer diameter process parameter optimization setting method, the seamless steel pipe outer diameter control precision can be improved, and the process parameter optimization setting is more accurate.

The invention relates to strip steel surface quality inspection equipment which is characterized in that meter inspection instruments are provided with measuring heads, the measuring heads are connected with the corresponding meter inspection instruments, a unit comprises a first steering roller, a second steering roller, a third steering roller and a fourth steering roller, and strip steel enters a second quality inspection table and a fourth steering roller after passing through the first steering roller, a first quality inspection table, a second steering roller and a third steering roller. A first measuring head and a first stroboscope are sequentially arranged on the upper surface of the strip steel driven by the first turning roller and the second turning roller, a second stroboscope and a second measuring head are sequentially arranged on the lower surface of the strip steel driven by the first turning roller and the second turning roller, and an illuminating lamp set is arranged above the second quality inspection table. The device has the advantages that manual visual inspection is not needed, picture information is uploaded to a display screen by adopting the upper surface meter detector measuring head and the lower surface meter detector measuring head, and quality inspection personnel can observe pictures at any time conveniently; the vertical quality inspection table and the horizontal quality inspection table are adopted, and non-stop rapid quality inspection of the upper / lower surface of the strip steel is achieved.

The invention discloses a method for controlling the thickness difference of a cold-rolled ultrahigh-strength steel plate with the tensile strength larger than or equal to 800 MPa. The method comprises the steps that in the steel coil transportation process, a hot coil saddle bears a steel coil, and heat insulation treatment is conducted between the hot coil saddle and the steel coil, so that the direct contact time between the hot coil saddle and the steel coil does not exceed the set time. According to the thickness difference control method for the cold-rolled ultrahigh-strength steel plate with the tensile strength larger than or equal to 800 MPa, the thermal insulation pad is additionally arranged on the hot rolling saddle, the situation that the time of direct contact between the hot rolling saddle and the steel coil exceeds the set time in the transportation process is avoided, the thickness difference amplitude and length are effectively reduced, and the product percent of pass is increased.

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 utility model provides a servo hydraulic cylinder pressure-bearing device which comprises a sleeve, and the top of the sleeve is fixedly connected with a rolling mill base. The bottom of the sleeve is detachably connected with a cylinder body of the hydraulic cylinder; the outer side of the sleeve is sleeved with a pressure bearing pad, the bottom of the pressure bearing pad is attached to the top face of the cylinder body, and a jacking assembly is arranged at the top of the pressure bearing pad and used for jacking the pressure bearing pad downwards. The servo hydraulic cylinder pressure-bearing device has the advantages that counter-acting force of the servo hydraulic cylinder in the rolling process is borne through the sleeve and the pressure-bearing pad, the pressure-bearing pad downwards abuts against the cylinder body under the action of the abutting assembly, more counter-acting force is borne, the sleeve is effectively protected and prevented from deforming, the service life of the pressure-bearing device is greatly prolonged, and the service life of the servo hydraulic cylinder is prolonged. And the maintenance and replacement cost of the pressure-bearing device is reduced.

The present application relates to the technical field of hot-rolled strip thickness, and discloses a monitoring method and device for a hot-rolled thickness control model, the method comprising: obtaining a self-learning coefficient calculated and generated by a self-learning module in the hot-rolled thickness control model during multiple hot-rolling processes to obtain a first monitoring parameter array; judging whether there are J1 consecutive values ​​in the first monitoring parameter array whose absolute values ​​all exceed a set limit value, wherein J1 is a natural number greater than 2; if there are J1 consecutive values ​​in the first monitoring parameter array whose absolute values ​​all exceed a set limit value, then outputting alarm information about the hot-rolled thickness control model. The technical solution provided by the present application monitors whether there is a problem with the hot-rolled thickness control model through the self-learning coefficient generated by the self-learning module in the hot-rolled thickness control model, and can timely adjust the hot-rolled thickness control model, thereby improving the thickness control accuracy of the hot-rolled thickness control model in the hot-rolling process of the rolled piece.

The invention provides a roll shifting control method and device, electronic equipment and a storage medium. The running state of a finishing mill frame, the current rolling state parameter, the current rolling kilometers, the second roll shifting position and the third roll shifting position are obtained; according to the current rolling kilometers, the running state of the finishing mill frame and the current rolling state parameters, the cycle rolling starting condition satisfaction state is determined, and if the current rolling kilometers are smaller than the preset maximum rolling kilometers, and the cycle rolling starting condition satisfaction state is the satisfaction starting condition; if yes, a corresponding circulating rolling strategy is matched according to the second roll shifting position and the third roll shifting position, current rolling configuration information is determined according to the circulating rolling strategy, and circulating rolling is conducted based on the current rolling configuration information; according to the method, whether the condition for starting the circulating rolling is met or not is automatically judged, the production continuity and stability are improved, strategy matching is conducted by introducing historical data, the quality problem caused by an improper roll shifting strategy is reduced, and the abrasion uniformity is improved.

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 present application discloses a dual-stand secondary cold rolling control system, method and device for speed distribution, including: a speed control module, wherein the speed control module is further configured to perform the following operations: based on the rolling relationship achieved by the first stand and the second stand, the dual-stand secondary cold rolling production line corresponding to the transmission mechanism is divided into multiple areas, wherein the rolling relationship is used to indicate the thickness relationship of the strip corresponding to each area; obtain speed distribution parameters, and determine the speed information of each area according to the speed distribution parameters; and distribute the speed to each area according to the determined speed information.

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 relates to the technical field of alloy processing, in particular to a long-acting stress-resistant titanium-copper foil material for a VCM elastic piece and a preparation method of the long-acting stress-resistant titanium-copper foil material. The preparation method comprises the following steps that firstly, raw materials including 50%-70% of titanium, 40%-28% of copper, 8%-1% of nickel, 1%-0.5% of aluminum and 1%-0.5% of phosphorus are weighed according to the mass percent; 2, the raw materials are put into a smelting furnace to be melted, and liquid melt is obtained; thirdly, the melt is poured into a casting mold for casting, and a blank is obtained; in order to solve the residual stress problem of the titanium-copper alloy foil, the thickness and temperature changes of the material after each rolling are recorded in the preparation process, the machining parameters of next rolling can be calculated, and the performance and machining efficiency of the material can be improved; and then the machining parameters of next rolling are optimized based on the historical data and the machining parameters of current rolling through the parameter prediction model, the parameter adjustment effect can be effectively improved, the stability of the rolling process and the product quality are ensured, and then the overall production efficiency is improved.

The invention relates to the field of steel rolling, and provides a steel rail abdominal cavity adjusting method, system and device and a medium, and the method comprises the steps: deploying a sensor on a production line, obtaining the historical data of steel rail production, and transmitting the historical data to a cloud platform in real time through the Internet of Things; analyzing the historical data through a preset expert experience model in the cloud platform; when the deviation of the specification size of the abdominal cavity exceeds a first preset value, a horizontal roller of the semi-universal rolling mill is adjusted; and in response to the fact that the deviation of the specification size of the abdominal cavity exceeds a second preset value, horizontal rollers of the universal rolling mill and the semi-universal rolling mill are adjusted. According to the method, actual operation experience of steel rail abdominal cavity adjustment and an expert experience extraction mode are combined, a unique expert knowledge data valuation method is recorded and transmitted through the Internet of Things, finally, recommendation of a steel rail abdominal cavity specification control scheme can be achieved in real time, online steel rail abdominal cavity specification abnormal states are adjusted and rectified in real time, and the method is suitable for popularization and application. The specification of the steel rail abdominal cavity is always stabilized within the internal control standard.