55results about "Material dimension control" patented technology

The invention provides an intelligent control method and system for the spinning forming thickness of a tank. According to the method, a spinning tank surface thickness fluctuation signal is collected, and a thickness gradient tensor is generated through time sequence decomposition; extracting a thickness fluctuation intensity value in the tensor and a time sequence lag amount of thickness change of adjacent points to calculate a phase deviation feature; based on the characteristics, the curvature of a laser scanning lens on an annular spinning roller is dynamically adjusted, and a three-dimensional wall thickness cloud picture for identifying the thickness abnormal area is output through focusing and scanning of the tank body; a spinning roller motion track is obtained, thickness change-track space deviation is calculated by associating the thickness abnormal area with the phase deviation characteristics, and a track compensation vector is generated; and according to the vector, a spinning roller feeding path is dynamically optimized, and wall thickness fluctuation caused by material springback is inhibited. Dynamic wave suppression of the wall thickness of the spinning tank is achieved, thickness fluctuation is compressed, and the rejection rate is reduced.

The present invention relates to the field of coating thickness control. Disclosed are a feedforward intelligent coating thickness closed-loop control method and system. The method comprises: collecting data to train a model; constructing time-series features of the data and multi-dimensional correlation features between the data; building and training a neural network that uses the time-series features and the multi-dimensional correlation features between the data as input, and outputs the classification of coating thickness trend adjustment directions and the adjustment amounts for each execution mechanism, so as to obtain a trained neural network model; and executing coating thickness closed-loop control on the basis of the trained neural network model. By means of predicting a coating thickness trend direction and the adjustment amount of each control mechanism, the present invention reduces the hysteresis of closed-loop control, thereby improving the uniformity of coating thickness.

The invention provides a guardrail plate galvanizing thickness closed-loop control method and system based on multi-sensor fusion, and the method comprises the steps: obtaining dynamic light interference fringe data and continuous conductivity change data of a preset eddy current sensor, and carrying out the coupling correlation; generating fusion data including thickness distribution characteristics and surface reflection characteristics of a zinc coating of the preset guardrail plate; constructing a thickness reflectivity dynamic relation graph based on the fused data; determining a real-time control parameter combination associated with preset galvanization process equipment according to gradient change characteristics of the thickness reflectivity dynamic relation graph; and inputting the real-time control parameter combination into a galvanization process dynamic decision-making unit of the preset galvanization process equipment to generate a closed-loop control instruction. According to the method, the problem of control lag caused by asynchronous detection of the thickness and the surface reflection characteristics in a high-speed continuous galvanizing scene is solved, the technical bottleneck that the surface quality and the internal thickness cannot be correlated in traditional single sensor detection is broken through, and the coating uniformity and the process stability are improved.

Control system for cold rolling mills to improve sheet metal thickness uniformity. Sensors monitor the state of the cold rolling mill by measuring (i) roll eccentricity, (ii) roll slips during mill operation, (iii) mill disturbances from roll speed or roll force manifestations, and (iv) unknown disturbances referred to as process noise. The controller analyzes data from sensors to compensate. Data collected during the mill operation by the sensors are delayed in reaching the controller. This communication delay is accounted for by using a filter. Since an objective of the controller software is dynamic identification of eccentricity of the back up rolls, which is non-linear by nature, an Extended Kalman Filter may be used.

To provide a controller for cold rolling mills to improve sheet metal thickness uniformity, and a method of programming the controller.SOLUTION: Sensors monitor the state of the cold rolling mill by measuring (i) roll eccentricity, (ii) roll slips during mill operation, (iii) mill disturbances from roll speed or roll force manifestations, and (iv) unknown disturbances referred to as process noise. The controller analyzes data from sensors to compensate. Data collected during the mill operation by the sensors are delayed in reaching the controller. This communication delay is takin into account by using a filter. Since an objective of controller software is dynamic identification of eccentricity of the back-up rolls, which is non-linear by nature, an extended Kalman filter may be used.SELECTED DRAWING: Figure 3

The present application relates to the field of circuit board production automation equipment and intelligent control, specifically to an SMT material frame self-adaptive width adjusting system suitable for multi-size circuit boards, comprising a left width adjusting mechanism, a right width adjusting mechanism, left and right drive motors, a width detection module, a storage module, a data acquisition module, a state quantization module, a prediction decision module and a self-adaptive execution module; by collecting left and right motor operating current and torque feedback, calculating operating characteristic difference data and asynchronous fatigue entropy data, and combining circuit board size information and current material frame width to determine the target width adjusting direction; when the asynchronous fatigue entropy is lower than the danger threshold, normal width adjusting action is executed, and when the asynchronous fatigue entropy is higher than or equal to the danger threshold, anti-stuck degradation action is executed, so as to realize the collaborative control of throughput target and mechanical survival state.

The embodiment of the invention provides a heat storage body thermal expansion difference control method and device and a heat storage body, and the control method comprises the steps: obtaining an elastic wave signal of the heat storage body, and determining a deformation difference corresponding to the frequency of the obtained elastic wave signal according to a predetermined mapping model; and the pressure of a heat storage body air curtain is adjusted according to the deformation difference, pyrolysis gas in a high-temperature area in a heat storage body is guided out and injected into a low-temperature area, pyrolysis gas in the low-temperature area is pumped out and output to the high-temperature area, and the deformation difference is restrained. The elastic wave generated by the thermal deformation phenomenon can be collected, and the deformation difference corresponding to the waveform of the obtained elastic wave can be determined. And according to the deformation difference, the pressure of an air curtain in the heat storage body is adjusted, the pyrolysis gas in the high-temperature area and the low-temperature area is adjusted, and the deformation difference of the heat storage body is restrained.

Systems (1000) and methods for mapping and / or repairing the surface of calender roller (1004) while the calender roller is still installed in the calender roll system are described. The methods for mapping and repairing a surface of a calender roller may comprise providing a calender roll system comprising a calender roller, mapping a surface profile of the calender roller, identifying a dent area on the surface of the calender roller at least partially based on the surface profile, and depositing a material at the dent area. The systems for mapping and repairing the surface of the calender roller are also described.

This invention discloses a method for adjusting a coating device for coating processing, comprising: starting the transmission equipment under no-load operation, checking the synchronization of each roller, adjusting the adsorption force through a negative pressure device until the sample substrate does not slip, and confirming that the signal feedback of each sensor is normal; inputting the substrate type, target coating thickness, and process parameters of each device for the sample to be processed; continuously outputting the coating material after uniform mixing for use in the sample coating process, and adsorbing and fixing the sample substrate to be coated; uniformly coating the sample substrate with the coating material, scanning the coating thickness in real time during the coating process, and intelligently optimizing the process parameters of each device based on the feedback data; compacting and drying the samples that meet the coating quality requirements. This invention also discloses a coating device for coating processing. This invention solves the problems of uneven thickness caused by different substrates and coating materials being combined, and the dynamic adjustment of thickness changes during continuous coating processing.

The invention discloses a sensor-based plate thickness adaptive adjustment system, which comprises a multi-source sensing fusion acquisition module, a dynamic parameter adjustment calculation module and a closed-loop feedback execution module. The multi-source sensing fusion acquisition module comprises a laser displacement sensor, a vibration sensor, a temperature sensor and a tool wear sensor which are respectively used for acquiring a plate thickness original signal, a processing environment vibration signal, a processing area environment temperature signal and a tool accumulated wear loss signal; the dynamic parameter adjustment calculation module receives the signal and calculates a machining parameter adjustment instruction; the closed-loop feedback execution module comprises a servo controller and an execution mechanism, and the execution mechanism adjusts the machining action under the control of the servo controller. According to the system, the problems of inaccurate thickness measurement and parameter adjustment lag caused by multi-factor interference in the prior art are solved, and the plate processing quality and consistency are improved.

The invention relates to a capacitive flatness measuring device for an ultra-low resistance silicon wafer and a control method thereof, and belongs to the technical field of semiconductor silicon wafer detection.The capacitive flatness measuring device comprises an objective table, a transplanting table is arranged on the objective table, a rack fixedly connected with the objective table is arranged on the periphery of the transplanting table, the ultra-low resistance silicon wafer is arranged on the transplanting table, and the ultra-low resistance silicon wafer is arranged on the rack. A plurality of capacitive sensors which are arranged in a two-dimensional matrix mode and are parallel to the objective table are arranged above the objective table and on the upper portion of the machine frame, and lifting air cylinders are arranged on the capacitive sensors. And by utilizing the capacitance measurement principle, the influence of the high reflectivity of the ultra-low resistance silicon wafer is completely avoided, and the problem that an optical method fails on such materials is solved. The nonlinear error of the system is eliminated through vertical scanning fitting, and the measurement precision of the flatness of the ultra-low resistance silicon wafer is improved.

The application discloses a kind of film thickness intelligent control methods in electromagnetic shielding film preparation, it is related to shielding film preparation technical field, comprising the following steps: setting multiple film thickness sensors;Electrostatic neutralization is applied in coating area;Microclimate control device is set in the periphery of coating platform;Non-contact deformation detection system is set, and the deformation time series data of each coating head unit is collected;Real-time value of film thickness and deformation is predicted;Compensation value is introduced to compensate film thickness deviation and deformation deviation, and control module executes displacement or pressure control according to compensation value to each coating head, and the input information of prediction model is updated synchronously;Cloud platform uses distributed algorithm to coordinate each control node, and is fused by asynchronous scheduling and prediction model;The application effectively inhibits the edge thickening / thinning phenomenon caused by coating head deformation, tension gradient.

The application discloses a paving thickness control system and method of a paver, and relates to the field of paving control.The system comprises a positioning module, an inclination sensor and a controller.The positioning module is used for collecting position information of the paver in real time; the inclination sensor is used for collecting the inclination angle of the paver in real time; and the controller is used for determining the inclination of the paver according to the inclination angle of the paver and the installation height of the positioning module, correcting the position information of the paver according to the inclination, calculating the corrected thickness according to the corrected position information and the design position information, and controlling the paving thickness of the paver according to the corrected thickness.The application can compensate for the posture change of the paver itself, and improve the control precision of the paving thickness.

The invention discloses a method and a system for optimizing mixing parameters of a self-adaptive driving emulsification pump, and relates to the technical field of emulsification control, and the method comprises the following steps: reading multi-stage mixing shear parameters and multi-stage preset emulsion droplet particle size characteristics; performing emulsion droplet particle size detection when executing the target emulsification task, generating a multi-stage emulsion droplet particle size detection data set, comparing the multi-stage emulsion droplet particle size detection data set with multi-stage preset emulsion droplet particle size characteristics, tracing particle size deviation, and determining an abnormal shear cavity and an abnormal emulsion diffusion cavity; abnormal diffusion correction is carried out on the abnormal emulsion diffusion cavity, and diffusion cavity optimization mixing parameters and abnormal correction time constraints are generated; and performing mixing parameter compensation on the abnormal shear cavity, and adjusting the multi-stage mixing shear parameters. The technical problems that in the prior art, due to the fact that the shearing cavity and the diffusion cavity are abnormal in the emulsifying process, the emulsion droplet particle size deviation is large, and stable control over the emulsifying quality cannot be achieved are solved, and the technical effects of dynamically compensating mixing parameters and improving the emulsion droplet particle size control precision and the consistency of emulsified products are achieved.

The invention provides a road surface connection smoothness control method and device, electronic equipment and a storage medium, and belongs to the technical field of road construction monitoring, and the method comprises the following steps: obtaining state data of road surface operation equipment in a road surface connection area in real time; obtaining a local amplitude function corresponding to each sub-region based on the state data, and obtaining a target local amplitude function based on the local amplitude function corresponding to each sub-region; based on the target local amplitude function and the state data, determining a local smoothness index corresponding to each sub-region; based on the local amplitude function corresponding to each sub-region, determining a target factor influencing the corresponding local smoothness index; and adjusting parameters of the pavement operation equipment based on the target factor and the local smoothness index. According to the road surface connection smoothness control method and device, the electronic equipment and the storage medium provided by the invention, the connection smoothness of new and old road surfaces can be improved.

The application provides a guardrail plate galvanizing thickness closed-loop control method and system based on multi-sensor fusion, acquires dynamic light interference fringe data and continuous conductivity change data of a preset eddy current sensor, and performs coupling correlation to generate fusion data containing thickness distribution characteristics and surface reflection characteristics of a galvanizing layer of a preset guardrail plate; a thickness reflectivity dynamic relationship graph is constructed based on the fusion data; a real-time control parameter combination associated with a preset galvanizing process equipment is determined according to gradient change characteristics of the thickness reflectivity dynamic relationship graph; the real-time control parameter combination is input into a galvanizing process dynamic decision unit of the preset galvanizing process equipment to generate a closed-loop control instruction. The application solves the control lag problem caused by asynchronous detection of thickness and surface reflection characteristics in a high-speed continuous galvanizing scene, breaks through the technical bottleneck that traditional single-sensor detection cannot associate surface quality and internal thickness, and improves the uniformity of the plated layer and the process stability.

The invention relates to the technical field of circuit board production, and discloses circuit board intelligent production parameter control equipment which comprises a rack. The glue spraying module is used for spraying glue to the circuit board; the parameter control assembly is used for controlling the thickness parameter of glue spraying; and a bracket. According to the intelligent production parameter control equipment for the circuit board, parameter automatic control and parameter master control can be performed on a runner of photoresist through the arranged parameter control assembly, and the flow amount of the photoresist is automatically controlled by utilizing the thickness of the circuit board, so that the thickness of the photoresist attached to the circuit board is controlled in a phase-changing manner. Meanwhile, the arranged main control piece can also realize autonomous regulation and control on equipment parameters, so that manual parameter regulation and control are carried out according to circuit boards with different specifications or requirements, dual-function intelligent parameter control is realized, the production quality of the circuit boards is improved, and the phenomenon that the etching effect of the circuit boards is finally influenced due to different thicknesses of photoresist is avoided.

The invention relates to a steering angle planning system (2) for a vehicle (1) comprising a sensor unit (3) for measuring a respective current actual steering angle value, and a memory unit (7) with corresponding target steering angle values, wherein the steering angle planning system (2) is designed to determine the respective actual first derivative of the respective measured current actual steering angle value and the respective target first derivative of the respective current target steering angle value over time, and further to determine a second actual derivative of the respective measured current actual steering angle value over time and a target second derivative of the respective current target steering angle value over time, and to determine a respective current steering angle section (4), through which the second actual derivative and the target second derivative each exceed a predetermined positive and negative threshold value at least once, wherein the current steering angle section (4) has a maximum predetermined length, and wherein a correlator (5) is also provided, for determining a respective current time delay on the basis of the respective actual first derivatives and the respective target first derivatives in the respective current steering angle section (4), and wherein a parameter estimator is provided, which is designed to recursively estimate a present time delay value on the basis of the respective current time delay as input. The invention also relates to a vehicle and a method for operating such a steering angle planning system.

The invention discloses a dough sheet forming device and a dough sheet forming method, and relates to the technical field of food processing machinery, and the dough sheet forming device comprises a dough sheet primary forming device used for pressing dough floc into primary dough sheets; the dough sheet compounding device is used for compounding the two primary dough sheets into one compounded dough sheet; the adjustable dough pressing roller assembly is used for shaping the composite dough sheets into formed dough sheets; wherein the adjustable dough pressing roller assembly comprises a driving pressing roller, a driven pressing roller and a dough roller gap adjusting mechanism, the dough roller gap adjusting mechanism can drive the driven pressing roller to move relative to the driving pressing roller so as to adjust a dough roller gap and enable a formed dough sheet to obtain a determined thickness, and the adjustable dough pressing roller assembly further comprises a control device used for obtaining parameter data input by a legal user, the thickness data, the adjusting parameters and the abnormal alarm state of the surface piece are visually displayed, and a driving control signal is output to control the electric push rod to move. The thickness of the dough sheet can be accurately controlled, the production efficiency and the quality of the dough sheet can be improved, and diversified production requirements are met.

The application aims to provide a control system and a control method of an adsorption purification system, the adsorption purification system comprising an adsorption device and a first chain bucket machine, the first chain bucket machine being located below the adsorption device, and the adsorption device being provided with a roller feeder; the control method comprising: obtaining a plurality of sets of basic data information of the roller feeder, the basic data information comprising a rotating speed, an opening height and a discharging parameter of the roller feeder, the discharging parameter being used to represent a discharging speed of the roller feeder; substituting each set of basic data information into Formula I to regress and solve, so as to obtain a set of set parameters {a 20 , a 02 , a 11 , a 10 , a 01 , a 00} of Formula I; Formula I: f(x, y) = a 20 x 2 +a 02 y 2 +a 11 xy+a 10 x+a 01 y+a 00 ; obtaining a set function relationship among the rotating speed, the opening height and the discharging parameter according to the set parameters {a 20 , a 02 , a 11 , a 10 , a 01 , a 00} and Formula I; and controlling the roller feeder according to the set function relationship. The control system and the control method can relatively accurately control the roller feeder.

The application relates to a barrel foundation structure anticorrosion coating thickness control method, device and medium considering multi-factor coupling, wherein the method comprises the following steps: S1, a coating dry film thickness prediction model is constructed based on simulation data sets and historical data sets; S2, real-time environmental wind speed and spraying distance are acquired, and reference spraying pressure and reference nozzle walking speed are obtained based on a preconfigured response surface database query; S3, based on the coating dry film thickness prediction model, spraying pressure correction amount sequences and nozzle walking speed correction amount sequences are obtained by minimizing film thickness control deviation in a future period of time and fluctuation targets of the spraying pressure and the nozzle walking speed; and S4, the spraying pressure correction amount sequences and the nozzle walking speed correction amount sequences are respectively superimposed on corresponding reference spraying pressure and reference nozzle walking speed to obtain target spraying pressure and target nozzle walking speed. Compared with the prior art, the application improves film thickness prediction accuracy under variable working conditions and realizes accurate closed-loop control of coating thickness.

This invention relates to the field of process control technology and discloses a method for controlling the deformation of alloy forgings based on digital twins. The method involves establishing a ring object and a discrete time sequence, setting circumferential arc length parameters on the neutral circumferential line, constructing an initial radius field, wall thickness field, and temperature field to form a continuous domain digital twin, and providing the target mid-diameter radius and target wall thickness. The circumferential arc length interval is discretized into circumferential units, forming a discrete state table and a unique mapping from discretization to continuous operation. A wavefront deviation sequence is generated from the radius and wall thickness deviations, and the leading lag and gradient are extracted by combining temperature deviations. A feed correction sequence is constructed and circumferential averaging and zero-sum constraints are applied, combined with second-order difference and feasibility scaling for iterative advancement. The state table and correction sequence set are determined and output using the total decision quantity and the maximum deviation threshold, achieving data alignment and robust iteration, reducing drift and over-distortion, and enabling traceable and reusable processes.

Provided is a stereoscopic surface display device including a stereoscopic display unit (SSD) having a cell area (CEL), wherein the stereoscopic display unit (SSD) includes a first flexible layer (FCL), a first optical waveguide (OWG) and a first optical output unit (OPC1) in the first flexible layer (FCL), wherein the first optical output unit (OPC1) are disposed in the cell area (CEL), a first light source (LS1) disposed on a side of the stereoscopic display unit (SSD), wherein the first optical waveguide (OWG) connects the first light source (LS1) and the first optical output unit (OPC1), a first photothermal response layer (PTR) on the first flexible layer (FCL), wherein the first photothermal response layer (PTR) is configured to receive output light emitted from the first optical output unit (OPC1) and emit thermal energy, and a shape deformation layer (SDP) on the first photothermal response layer (PTR), wherein the shape deformation layer (SDP) is configured to generate bending deformation by receiving the thermal energy from the first photothermal response layer (PTR).

The invention discloses a pre-camber superposition-based intelligent measurement control method for a steel box girder bridge position line shape, which belongs to the technical field of bridge construction measurement and comprises the following steps of: determining a short line matching prefabricated geometric line shape of a box girder section according to a designed pre-camber value in a steel box girder manufacturing stage; an observation point transmitting antenna and a reference point transmitting antenna are arranged on a bridge site construction site, and each observation point modulates and shares a carrier wave at a specific frequency and transmits the carrier wave; the telemetering receiver receives the signal, analyzes the modulation frequency, calculates the carrier phase difference to solve the three-dimensional displacement amount, and superposes the three-dimensional displacement amount with the pre-camber design line shape to obtain a deviation; and when the deviation exceeds the limit, an adjusting system is started to adjust the jacking amount, and high-frequency measurement feedback is performed until the deviation is stable. According to the method, the problems of low linear control precision and poor adjustment efficiency caused by accumulated deviation of multi-section pre-camber in a large-span steel box beam bridge position assembly process are solved, and accurate monitoring and dynamic adjustment of the steel box beam bridge position assembly line shape are realized through synchronous radio frequency measurement of multiple observation points and real-time data fusion.

The present invention relates to the field of automatic slurry thickness control. Disclosed are a coating thickness control method and system. The method comprises: setting a slurry dripping height H of a coating slurry, a coating speed Uinput, and a lip slurry injection volume V; acquiring a static initial radius re, a surface tension YL, a density p, and a viscosity η of the coating slurry; calculating a radius r(t) of a droplet deposited on a substrate under different slurry dripping heights; and determining whether r(t) increases as the slurry dripping height H increases, and if not, adjusting the slurry dripping height H, the coating speed Uinput, and the lip slurry injection volume V, such that r(t) increases as the slurry dripping height H increases. In the present invention, by analyzing different positive and negative electrode slurry compositions and different temperatures, rheological curves of different positive and negative electrode slurry viscosities under different external factors are constructed, thereby improving coating uniformity, accommodating a broader range of slurry compositions and proportions, and improving product quality while reducing costs.

The application relates to a cooling crystallization particle size intelligent control method, and relates to the technical field of crystallization particle size control.The method comprises the following steps: collecting the supersaturation of a solution in a target crystallization kettle and a crystal image sequence in real time, extracting current particle size distribution characteristics, and obtaining raw material impurity monitoring values and stirrer power fluctuation coefficients; a multi-section adaptive cooling curve is constructed; the target crystallization kettle is controlled to be cooled, and the collecting, constructing and controlling steps are iteratively executed until the crystallization process is completed, so that initial crystal slurry is obtained; the particle size distribution of the initial crystal slurry is measured, solid-liquid separation and drying treatment are performed, and finally, the crystal product is obtained.The application solves the problems that the traditional crystallization control relies on experience or a fixed mode, lacks dynamic adaptation capability, is difficult to cope with various disturbances, and leads to uneven product particle size and poor quality stability.

The application relates to the technical field of circuit board production, and discloses a circuit board intelligent production parameter control device, which comprises a rack, a glue spraying module, a parameter control assembly and a support. The parameter control assembly can realize parameter self-control and parameter master control of the flow channel of photoresist, automatically controls the flow amount of photoresist by using the thickness of the circuit board, and thus controls the thickness of the photoresist attached to the circuit board. The master control device can also realize self-control of the device parameters, so that manual parameter control can be realized according to circuit boards of different specifications or requirements, thereby realizing double-function intelligent parameter control, improving the quality of circuit board production, and avoiding the problem that the thickness of photoresist is not uniform, which finally affects the etching effect of the circuit board.

This invention discloses a fabric thickness control system and its control method for a molding press, belonging to the field of composite material molding technology. The system includes a material cart and hopper, a drive unit, a flow regulating valve, a displacement sensor, and a central controller. The central controller pre-stores fabric control parameters corresponding to the contour of the mold cavity of the product to be molded. The flow regulating valve continuously and steplessly adjusts the power output of the drive unit, and combined with real-time feedback from the displacement sensor, forms a fully closed-loop position servo control system. This system drives the material cart and hopper to adjust their running speed and stopping position according to changes in the mold cavity contour, achieving differentiated fabric distribution matching the cavity. This invention can accurately adapt to the filling requirements of complex mold cavities, fundamentally solving the defects of traditional fabric distribution systems such as insufficient material, flash, and uneven fabric distribution, significantly improving the molding accuracy and yield of molded products, and adapting to the high-end composite material molding process requirements of various molding presses.

This information processing device (1) is provided with: a configuration information acquisition unit (131) that acquires building configuration information indicating the structure of a building; and an output unit (135) that outputs pattern information indicating one or more coating patterns indicating a coating range or a coating thickness of a coating material for reinforcing the building indicated by the building configuration information.

The invention provides a lithium battery diaphragm process parameter self-correction method and system based on big data analysis, and the method comprises the following steps: in a preparation process of a lithium battery diaphragm, obtaining thickness values measured at a plurality of continuous time nodes after a raw material is stretched; a thickness data set corresponding to each time node is constructed, the thickness data set comprises thickness data used for representing the thickness condition of each region of the raw material, and the thickness data is generated according to the thickness values; comparing each group of thickness data set with other thickness data sets of adjacent time nodes, and determining a target thickness data set in the thickness data sets according to a data difference condition; and correcting the process parameters of the lithium battery diaphragm according to the target thickness data set. The method has the beneficial effect that the process parameter correction in the manufacturing process of the lithium battery diaphragm can be more accurate.