1593results about "Measuring devices" patented technology

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 provides a cold rolling mill roller micro displacement real-time monitoring and dynamic compensation control early warning method, which relates to the technical field of monitoring control, and comprises the following steps: monitoring roller temperature field distribution through infrared thermal imaging, establishing a mapping relation between displacement and temperature gradient, calculating thermal deformation and compensating displacement drift; constructing a rolling mill equipment domain knowledge graph and a diagnosis rule base, and performing fault diagnosis by utilizing graph embedding learning; and generating a compensation optimization strategy and establishing fuzzy correlation mapping to calculate an optimal parameter. According to the method, accurate monitoring and compensation of the micro displacement of the roller are achieved, and the equipment fault early warning capacity and the rolling precision are 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 provides rolling equipment, a current collector, a preparation method of the current collector, a pole piece, a battery and a device. A rolling device comprises a roller mechanism, a flow control mechanism and a power mechanism. The roller mechanism comprises at least two opposite rollers arranged at intervals and a flow control mechanism. The flow control mechanism is used for independently controlling the flow of the cooling medium in each cooling channel; the power mechanism is used for driving at least one roller to rotate. According to the rolling equipment, the roller diameter of the roller can be simply, effectively and flexibly adjusted by controlling the flow, so that the thickness of a rolled membrane material is adjusted, for example, a current collector with a large thickness in a tab area is prepared, the current collector is used for preparing an electrode pole piece, the problem of belt breakage in mass production of the electrode pole piece can be solved, and the production efficiency of the electrode pole piece is improved. And the yield of electrode plate production is improved.

The invention relates to the technical field of metal processing and digital control, and discloses a digital control method and system for copper strip rolling production, and the method comprises the steps: obtaining a technological parameter sequence and a surface image in a rolling process in real time; analyzing the dynamic change trend of the process parameter sequence to obtain parameter fluctuation characteristics; if the parameter fluctuation characteristic exceeds a preset fluctuation threshold value, identifying a microscopic adhesion position of the copper strip surface image and determining a complete distribution map of an adhesion range; analyzing by combining defect features extracted from the complete distribution map and the process parameter sequence to obtain a parameter interaction weight; and based on the parameter interaction weight, generating optimized process parameter configuration and adjusting an equipment operation state. According to the method, the problem that the control precision of the dynamic defects on the surface of the copper strip is insufficient in the prior art is solved by establishing the dynamic correlation between the process parameters and the surface defects and performing data-driven closed-loop control.

The invention relates to the technical field of steel rolling, and discloses a Q355B steel hot rolling process optimization method based on dynamic temperature control, which comprises the following steps: blank pretreatment, dynamic heating control, high-pressure water descaling, rough rolling process, finish rolling process, laminar cooling and coiling process. According to the method, a collaborative system of multi-section variable-temperature heating and intelligent temperature control is constructed, temperature distribution in a furnace and the heating rate are monitored and dynamically adjusted in real time, it is guaranteed that the core surface temperature of a plate blank is uniform and consistent, thermal stress and the internal crack tendency in the heating process are eliminated, and a high-temperature blank uniform in structure and stable in performance is provided for follow-up rolling; meanwhile, the high-pressure water descaling system optimizes jet flow parameters and introduces chemical additives, so that a protective layer is formed while oxide scales on the surface are removed, the surface cleanliness and quality of the plate blank are improved, and product defects caused by incomplete descaling and surface damage are avoided.

The invention relates to the technical field of aluminum foil rolling, and particularly discloses a rolling mill outlet side oil blocking device integrated with a roller detection function and an oil blocking method.The rolling mill outlet side oil blocking device comprises a support, two parallel sliding rods are arranged on the support, two sliding sleeves are arranged on the sliding rods in a sliding mode, and driving parts for driving the sliding sleeves to move along the sliding rods are arranged on the support; a mounting frame capable of horizontally moving in the vertical direction of the sliding rod is arranged on the side face of the sliding sleeve, the mounting frame is of a hollow structure, and oil blocking felts are arranged on the two slopes of the side, away from the sliding sleeve, of the mounting frame. The distance between the oil blocking felts on the two sides can be adjusted on line according to the width of the strip to be rolled, manual adjustment is not needed, the adjusting speed is high, precision is high, manpower is saved, the roundness and the surface state of the rollers can be detected in the rolling process, the parallelism of the upper roller and the lower roller can be detected in the non-rolling period, and the production efficiency is improved. Operation is simple, and use is convenient.

The invention provides a thermal process temperature monitoring system based on a black box temperature measurement technology, and the system consists of a temperature measurement subsystem, an edge computing gateway, and a cloud data processing module. The temperature measurement subsystem comprises a black box thermodetector and a high-temperature-resistant protection box, and temperature measurement points are set: the edge computing gateway receives original temperature data output by the black box thermodetector, and performs preliminary filtering processing and abnormal value elimination operation by applying a Z-score-based algorithm to ensure the accuracy and reliability of the data; and the cloud data processing module is responsible for storing historical temperature data and generating a visual temperature distribution thermodynamic diagram, so that a user can clearly know the temperature distribution condition. According to the invention, the innovative black box temperature measurement technology is introduced, and advanced anti-interference design and efficient edge calculation integration are combined, so that the reliability, the precision and the data processing efficiency of a thermal process, especially a temperature monitoring system of an iron and steel plant, are remarkably improved, and the blank of the prior art in the field is filled.

The invention relates to the technical field of metal plate rolling processing, and discloses a rolling strengthening method capable of reducing the rigidity of a metal plate, which comprises the following steps: applying an asymmetric rolling condition to an initial plate to enable the plate to generate a speed gradient in the thickness direction; the plate is subjected to one-pass large-rolling-reduction rolling, and a non-continuously-distributed shear band is formed; the rolled plate is heated to the dynamic recrystallization temperature interval of the plate, and multi-pass small-rolling-reduction warm rolling is conducted on the plate; and in the warm rolling process, dynamic recrystallization of a shear band is promoted to form a grain-refined continuous core layer, complete recrystallization of the surface structure of the plate is inhibited to keep the work hardening state of the plate, and therefore the metal plate with the rigidity lower than that of an initial plate is obtained. According to the invention, a soft core-hard shell heterostructure is constructed in the plate, high strength and low macroscopic rigidity are synergistically realized, the process controllability is strong, and the method is suitable for preparation of high-performance structural materials.

This invention provides a thickness control method for a single-stand reversible cold rolling mill. The single-stand reversible cold rolling mill unit includes an inlet coiler, an outlet coiler, a mill body, a mill hydraulic system, an inlet thickness gauge, an outlet thickness gauge, an inlet speed gauge, an outlet speed gauge, an inlet tension gauge, and an outlet tension gauge. The single-stand reversible cold rolling mill unit also includes an S-roll, with S-rolls at both the inlet and outlet of the unit. The S-roll can rotate 180°, with the upper roll of the S-roll able to rotate to the lower roll position and the lower roll of the S-roll able to rotate to the upper roll position. The 180° rotation causes the strip steel to wind in an S-shape on the S-roll. The thickness difference of the strip steel is eliminated by adjusting the speed of the inlet S-roll to control the metal flow rate entering the roll gap.

The invention belongs to the technical field of special alloy hot rolling, and particularly relates to a refined subsection cooling method and device for a titanium plate hot mill roller. Comprising the steps that S1, a temperature field distribution function of a roller during rolling and a temperature field distribution function of the surface of the roller during cooling are obtained; s2, a heat exchange coefficient distribution function of the heat exchange coefficient required by the roller in the axial direction of the roller is obtained; s3, a distribution function of the cooling water flow in the axial direction of the roller is obtained; s4, according to the distribution function of the cooling water flow in the axial direction of the roller, the roller is divided into a plurality of cooling sections in the axial direction of the roller, and different cooling sections correspond to different cooling water flow difference threshold values; and S5, a non-contact temperature sensor is arranged at the center position of each cooling section, an independent roller cooling mechanism is configured for each cooling section, and the flow of cooling water is adjusted. Independent cooling control over different cooling sections of the roller is achieved, and the plate shape quality of a titanium plate is improved.

The invention relates to a hot continuous rolling strip steel plate shape control method and device and electronic equipment. The method comprises the steps that plate blank PDI data, equipment parameters and model parameters are read; calculating speed, temperature and thickness parameters of each finish rolling rack based on a finish rolling model; the roll bending force set value of each rack is calculated, and the roll bending force reference value, the convexity self-learning distribution value, the straightness self-learning distribution value and the operator intervention value of the SAMP model table are superposed in response to the situation that the rolling specification is not replaced, so that the roll bending force set value is generated; in response to replacement of steel types, thickness or width specifications, on the basis of superposition of non-replaced specifications, a roll bending force difference value of the SAPP model table and the SAMP model table is introduced to be multiplied by a dynamic adjustment coefficient, and a roll bending force set value is generated; a roll bending force set value is issued to an execution system at the finish rolling inlet moment; and the actual convexity and straightness of the finish rolling outlet strip steel are collected, target values are compared, and the set value of the next plate blank is corrected through self-learning. The method improves the target convexity and straightness hit rate of the hot-rolled strip steel.

The invention provides a cold-rolling mill rolling force prediction and self-adaptive control method based on multi-sensor fusion, and relates to the technical field of cold-rolling mill control, and the method comprises the steps: collecting sensor technological parameters, constructing a parameter incidence matrix through a graph attention network, reconstructing a working condition feature sequence, and predicting rolling force in combination with deformation area contact arc length change characteristics. And a control strategy is constructed based on the rolling force error value, control parameters are optimized, optimal process parameters are searched in a parameter optimization space in combination with constraint conditions and are converted into control instructions, the rolling force prediction accuracy and control precision can be improved, and the anti-interference capability of the system is enhanced.

This invention relates to a cold-rolling rib formation early warning method based on strip cross-sectional feature recognition, comprising steps such as data acquisition, region division, and separate judgment of each region. This invention's cold-rolling rib formation early warning method based on strip cross-sectional feature recognition can not only identify and warn of rib formation risks in cold-rolled coils, but also locate the specific length position and width range of the rib formation through this design content rule, providing a good early warning and reference function for subsequent cold-rolling processes.

The invention relates to a production method of thin cold-rolled strip steel for food cans, which comprises the following steps of: smelting molten steel according to preset smelting components, and continuously casting after smelting; the casting blank subjected to continuous casting enters a hot rolling procedure, the final rolling temperature of the casting blank corresponds to the carbon content, and finally hot-rolled strip steel with the thickness of 2.0-2.3 mm is obtained; hot-rolled strip steel enters a rolling procedure after being subjected to acid rolling uncoiling, a five-rack rolling mode is adopted for acid rolling, and the total reduction rate is controlled to be 91%; coiling and then entering a continuous annealing process; in the annealing furnace, the annealing temperature and the strip steel speed are in a proportional relation, and finally finished strip steel is obtained. The thin-gauge strip steel can be produced at a high cold rolling speed, meanwhile, vibration of the rolling mill is effectively relieved, the production cost is reduced, and the product quality is not affected.

The present application provides a kind of rough rolling process strip explicit plate shape online visual detection system and method, the present application system includes strip detection system, grating light grid structured light projection system, image acquisition system, distance adjustment system and image processing system;When strip enters hot detector detection range, transmission signal triggers grating light grid structured light projection system and image acquisition system start working;Image acquisition system is used to transmit the image information collected to image processing system in real time;Distance adjustment system is used to adjust the distance between grating light grid structured light projection system and image acquisition system.Image processing system is used to process the image transmitted by image acquisition system in real time, obtains the three-dimensional profile of strip, obtains the two-dimensional curve of strip in XOY coordinate system and the two-dimensional curve in YOZ coordinate system, and then discriminates the degree and type of strip buckling head and camber.

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 relates to the technical field of high-speed cable shielding materials, and discloses a manufacturing method of rolled copper foil for high-speed cable shielding. The method comprises the following steps: preparing a copper plate; performing multi-pass cold rolling on the copper plate to form an elongated grain structure oriented along the rolling direction; performing controlled annealing on the cold-rolled copper foil to recover plasticity and inhibit complete recrystallization; the target thickness is obtained through finish rolling; carrying out finishing rolling on at least one surface of the copper foil by adopting a mirror surface working roller so as to reduce the surface roughness; and performing surface smoothing or passivating treatment to inhibit oxidation and performance degradation. Therefore, the obtained rolled copper foil has good ductility, structural stability and high-frequency performance.

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 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 belongs to the technical field of metal material processing and manufacturing, and particularly relates to a rolling mill working state monitoring method and system, a terminal and a storage medium, the method comprises the following steps: pre-defining state monitoring parameters, and setting a corresponding threshold value for each state monitoring parameter; the state monitoring parameters comprise the duration of the steel plate passing through a roller in the rolling mill, the displacement of the roller in the rolling mill and the temperature of an oil film bearing bush in the rolling mill. According to the method, the working state of the rolling mill can be monitored from multiple dimensions by pre-defining the state monitoring parameters and setting the corresponding threshold values; the monitored state monitoring parameters are stored, learning is carried out according to the comparison result of the state monitoring parameters, and the threshold value corresponding to each state monitoring parameter is updated, so that the threshold values can be automatically adjusted along with the change of the actual operation condition of the rolling mill, different production scenes can be better adapted, the monitoring accuracy and reliability are improved, and the production efficiency is improved. And the phenomena of false alarm and missing alarm are reduced.

The invention discloses a center line calibration device and method for a sizing mill main rack. The center line calibration device comprises a first tool assembly arranged at one end of the main machine frame, a second tool assembly arranged at the other end of the main machine frame, an emitter arranged on the first tool assembly and a second receiver arranged on the second tool assembly, a first receiver is arranged on the first tool assembly, and a second receiver is arranged on the second tool assembly. The transmitter and the receiver are arranged at the two ends of the first tool assembly respectively, a first base plate is arranged between the bottom of the roller rack and the main rack, and a second base plate is arranged between the side wall of the roller rack and the main rack. According to the method, it is ensured that the datum line deviation is controlled at the micron-order initial precision, a datum origin is provided for follow-up calibration, the problem that the coincidence precision is insufficient due to the fact that the datum is fuzzy in a traditional method is solved, the center line coincidence precision can be strictly controlled within 0.2 mm, and the precision requirement for high-end seamless steel pipe production is met.

The invention relates to the technical field of guide arm spring flat steel, and discloses a guide arm spring flat steel surface crack control technological method.The guide arm spring flat steel surface crack control technological method comprises the following technological methods of S1, smelting technology optimization, S2, continuous casting technology control, S3, rolling technology optimization and S4, quality detection and feedback adjustment. In the smelting stage, through slag stopping and tapping, LF furnace long-time refining white slag making (the alkalinity is 5.0-7.0, and the white slag retention time is longer than or equal to 30 min) and vacuum deep degassing (the vacuum degree is smaller than or equal to 67 Pa, and the retention time is longer than or equal to 15 min), the content of gas (the hydrogen content is smaller than or equal to 1.5 ppm) and the content of inclusions in steel are remarkably reduced, component fluctuation in the later period is avoided through accurate use of a diffusion deoxidizing agent (the use amount is larger than or equal to 80 kg / furnace), a pure molten steel foundation is laid for the follow-up process, and the production cost is reduced. And crack inducements caused by inclusion and gas are reduced from the source.

The invention discloses a steel rail rolling production parameter optimization analysis method based on big data. The method comprises the following steps that steel rail rolling production data are obtained; preprocessing the acquired steel rail rolling production data; determining a linear relationship between the parameter characteristics and the geometric indexes to obtain an expanded data set; based on the first-order data set and the high-order data set, a multi-target machine learning regression model is used for predicting geometric indexes in the steel rail rolling process in real time, and the complex relation between production parameters and the geometric indexes can be accurately captured; optimizing the multi-target machine learning regression model to obtain an optimized multi-target machine learning regression model; training the optimized multi-target machine learning regression model to obtain a trained and optimized multi-target machine learning regression model; and inputting test data into the trained and optimized multi-target machine learning regression model to obtain parameter settings meeting production requirements under the condition of meeting a plurality of targets.

An abnormal-vibration-predicting method for a roll grinder that grinds an outer peripheral surface of a rolling roll with a grinding wheel while the rolling roll rotates includes an acquisition step and a prediction step. The acquisition step acquires a rigidity parameter related to a rigidity of the roll grinder and a wheel rotation parameter related to a rotational speed of the grinding wheel. The prediction step predicts an occurrence of an abnormal vibration in a process of grinding the rolling roll by using the rigidity parameter and the wheel rotation parameter.

The invention discloses a roller grinding management method based on the surface quality of a copper plate strip, and aims to solve the problems that existing roller grinding depends on experience, positioning is inaccurate, and grinding is excessive or insufficient. The method comprises the following steps: collecting waveform data of copper print defects and flatness on the surface of a copper plate strip, and performing timestamp synchronous calibration with a rolling speed and a coil length counting signal of a rolling mill; constructing a roller damage reverse diagnosis mechanism, calculating a damage angle in combination with a copper printing coordinate, identifying a damage type, and calculating a wear depth; differentiated grinding work orders are generated according to different damage types, and high-precision positioning grinding is executed; and after returning to the production line, carrying out on-line real-time monitoring and off-line sample rechecking on the original damaged position, dynamically adjusting parameters and judging the grinding fit state. Precision, differentiation and closed-loop management of roller grinding are achieved, the grinding efficiency is effectively improved, the service life of the roller is effectively prolonged, the surface quality of a copper plate strip is remarkably improved, and the defect rate is reduced.

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.

The invention discloses a torsion guide structure for a rolled piece, and relates to the technical field of metallurgical steel rolling, the guide structure comprises guide roller assemblies arranged in pairs and an outlet guide used between finish rolling continuous flat racks, and the guide structure can utilize an asymmetric clamping area to pass through diagonal distribution of a plane working face and a semi-R arc-shaped working face; the semi-R arc-shaped working face is attached to the curved surface of one side of the rolled piece to form linear contact, the plane working face is in point contact with the other side of the rolled piece, and the height difference between the plane working face and the plane working face is matched to form a stable triangular constraint structure. According to the structure, the central axis of a rolled piece is always kept unchanged in the torsion process, the contact area is increased by 40%-50% compared with that of a flat roller, clamping force is distributed in a gradient mode in the circumferential direction of the section of the rolled piece, rigid extrusion of a symmetrical structure is avoided, tiny deformation of the rolled piece is absorbed through flexible contact of a plane working face, dynamic self-adaptive clamping is achieved, and the service life of the rolled piece is prolonged. And the torsion angle deviation is controlled within + / -2 degrees.

The invention relates to the technical field of steel industry, and discloses a multi-specification self-adaptive temperature control rolling process in a bar rolling process, which comprises the following steps: S1, a blank pretreatment stage, S2, an intelligent heating stage, S3, a high-pressure water descaling stage, S4, a multi-pass rolling stage, S5, on-line size monitoring, S6, a post-rolling controlled cooling stage and S7, a finishing stage. The production change time is shortened, on the basis of a specification-temperature-roll gap correlation model, automatic matching of phi 20-100 mm full-specification parameters is achieved, the production change time is shortened to be within 15 minutes (reduced by 60% or above compared with a traditional process), automatic switching of equipment parameters such as an MES system correlation rolling plan, a water cooling box and descaling pressure is achieved, manual adjustment errors are avoided, the multi-specification production qualification rate is increased to 99.5%, and the production efficiency is improved. According to the scheme, the temperature control precision is improved, the product performance is optimized, the three-section temperature of the heating furnace is controlled through the fuzzy PID algorithm, and the bearing steel heating temperature equalization time is shortened by 30%.