235 results about "Process manufacturing" patented technology

The invention discloses a method for manufacturing 7072 alloy high-performance air conditioner foil in a low-carbon, efficient and short-process mode, and relates to the technical field of aluminum foil machining. S2, continuous casting and rolling; s3, cold foil rolling; s4, finished product annealing; and S5, checking and packaging. Through component adjustment, iron and silicon alloy elements are controlled at the lower limit of the national standard, generation of coarse aluminum-iron-silicon phases is reduced, and low ductility caused by coarse grains after finished product annealing is avoided; in the cold foil rolling process, indexes of a working roll and rolling oil are adjusted, process parameters are optimized, the blank is directly rolled into a finished product, the direct rolling process is beneficial to improving the mechanical property of the finished product, and punching production of downstream customers is facilitated; and after triple continuous rolling is finished, subsequent cold foil rolling continuous rolling is rapidly arranged, deformation heat generated by triple continuous rolling and rolling of each pass is fully utilized, and large-machining-rate rolling of each pass is achieved.

The invention belongs to the technical field of intelligent manufacturing, and particularly relates to a manufacturing quality prediction method and system based on a multi-mode sequential network and application, and the method comprises the steps: carrying out the preprocessing of the sequential data of a process manufacturing production line, obtaining a sample set, and carrying out the sequential division into a training set, a verification set and a test set; on the basis of the sample set, key features are enhanced through a frequency domain enhanced channel attention mechanism, a multi-period mode of a time sequence dependence and period sensing module is captured in combination with a multi-layer expansion convolutional network structure, and a multi-mode time sequence network model is constructed; and sequentially carrying out training set training, verification set parameter adjustment optimization and test set performance verification on the multi-modal sequential network model, and outputting a prediction result. According to the method, the deep dynamic association among the multivariable time series data can be mined, the accuracy and robustness of manufacturing quality prediction are improved, and an efficient and reliable technical scheme and an implementation path are provided for process industry quality control and intelligent optimization.

The invention introduces a short-process manufacturing process of aluminum foil for a high-strength 8021 alloy container, and relates to the technical field of aluminum foil processing, and the short-process manufacturing process comprises the following specific steps: S1, smelting; s2, on-line treatment of the melt; s3, continuous casting and rolling; s4, cold foil rolling; s5, annealing a finished product; and S6, checking and packaging. According to the method, homogenizing annealing and even after-process cold foil rolling production are not needed, components can be utilized, the blank can be discharged from a machine for preheating, blank waste heat can play a role in eliminating internal stress through low-temperature tempering, the subsequent rolling deformation resistance is reduced, and the low-carbon production concept is really practiced; the single-pass machining rate of cold foil rolling is larger, the number of rolling passes is smaller, rolling is easier, production is easier, the production cost of cold foil rolling and foil rolling can be effectively reduced, and economic benefits of industrial production are achieved.

The invention relates to an enclosure frame paper box forming main machine and an enclosure frame paper box forming production line, a first mold staying position of the enclosure frame paper box forming main machine is provided with a box bottom plate assembling device on the outer end face of a box bottom plate mounting mold, and a second mold staying position is provided with an enclosure frame box body embracing device of a box body paperboard surface paper laminating material enclosure mold. The third mold staying position is provided with an enclosure frame box body upper side outer wall paper supplementing and mounting cover device, and the fourth mold staying position is provided with a demolding and box discharging device. The enclosure frame box body upper side outer wall surface paper supplementing and cover mounting device independently supplements a piece of complete surface paper to the upper side outer wall of the horizontal enclosure frame box body for cover mounting at the third mold stop position in a matched mode, a new manufacturing mode is provided, different process manufacturing requirements are met, cover mounting is more stable, efficiency is relatively high, and the production cost is reduced. The outer wall of the upper side of the horizontal type enclosure frame box body does not need to mount the surface paper in advance, and the box body material does not need to be enclosed by the surface paper to form the enclosure frame box body.

The invention discloses a digital driving method for a full-flow manufacturing process of a high-precision shell casting, which comprises a casting stage, a heat treatment stage and a machining stage, and is characterized in that digital data streams are established among three process links of the casting stage, the heat treatment stage and the machining stage; and the output data of the previous process is used as a process adjustment basis of the subsequent process, so that a datamation-driven closed-loop manufacturing system is formed. The invention provides a set of effective systematic solution for high-precision production of thin-wall shell castings.

The invention discloses a process manufacturing method of a cut image, which belongs to the technical field of laser cutting, and comprises the following steps of: acquiring a grid area covered by a cut graph of a material to be processed, dividing the cut graph into a plurality of vector diagrams according to the grid area, and performing slotting compensation processing on each vector diagram to obtain a corresponding cutting track; obtaining attribute information of the multiple primitives, determining a reference point of the vector diagram according to the attribute information of the primitives and the cutting trajectory, determining a light-off position on the primitives according to the reference point, the included angle and the vertex, and performing path optimization on the vector diagram according to the light-off position and the cutting trajectory to obtain a target cutting trajectory, the laser machining parameters of the cutting pattern are set based on the target cutting track and the to-be-machined material, hole blasting or hole punching caused by unstable laser of the cutting starting point can be prevented, it is guaranteed that the cutting effect of the to-be-cut material is optimal, the size precision meets the requirement, and the laser cutting efficiency is also improved.

A short-process manufacturing method of thin-gauge high-silicon non-oriented electrical steel belongs to the field of non-oriented electrical steel manufacturing, and comprises the following steps: smelting molten steel according to set chemical components in percentage by mass: 3.0-3.7% of Si, 0.5-1.0% of Al, 0.2-0.6% of Mn, less than or equal to 0.0025% of C, less than or equal to 0.0025% of S, less than or equal to 0.003% of N, less than or equal to 0.0006% of O, less than or equal to 0.10% of Sn or Sb or Sn + Sb, and the balance of Fe and inevitable impurities; molten steel is subjected to continuous casting, rough rolling, intermediate billet coiling, finish rolling, acid pickling, primary cold rolling, intermediate annealing, secondary cold rolling, final annealing and insulating layer coating, after finish rolling, the head and the tail of a hot rolled plate are 10-15 m long and are not subjected to laminar cooling, and non-oriented electrical steel finished plates with the nominal thicknesses of 0.10 mm, 0.15 mm and 0.20 mm are obtained.

The invention provides an inner leakage detection method and detection device of a mass flow controller and a control device, which can be used for performing inner leakage detection on the mass flow controller. The internal leakage detection method comprises the following steps: exhausting gas in a gas inlet pipeline including a to-be-detected mass flow controller and a process chamber, degassing a closed space formed by the gas inlet pipeline including the to-be-detected mass flow controller and the process chamber, and detecting the internal leakage of the to-be-detected mass flow controller after degassing is completed. And the gas inlet device conveys gas to the process chamber through the gas inlet pipeline so as to carry out leakage detection, so that whether the to-be-detected mass flow controller has inner leakage or not is judged. The internal leakage detection method has the advantages that the process is simple, the semiconductor process manufacturing procedure is not affected, detection is accurate, the mass flow controller which detects that internal leakage exists can be maintained or replaced in time, the accuracy of gas flow control is ensured, the follow-up semiconductor wafer manufacturing procedure is facilitated, and the yield is increased.

The invention discloses a multi-model fusion process quality prediction method based on ensemble learning, and relates to the technical field of process industry quality prediction. The method comprises three stages of data preprocessing, model construction and model fusion. In the data preprocessing stage, cleaning, normalization and feature screening are performed on multi-process production data; in the model construction stage, an overall prediction model and a segmented prediction model are constructed respectively, the overall prediction model adopts RF, LightGBM and KNN algorithms, and the segmented prediction model adopts an LSTM-KAN combined neural network; in the model fusion stage, prediction results of the two models are fused through an XGBoost ensemble learning algorithm, and advantage complementation is achieved. According to the method, the quality prediction problem caused by high process coupling degree and remarkable nonlinear relation in complex process manufacturing is effectively solved, the prediction precision and generalization performance are improved, and the method is suitable for a multi-process complex production scene.

Plant operation to achieve decarbonization is made easier. In an information processing method for an information processing apparatus including a controller, the controller is configured to acquire a measurement value of a physical quantity on greenhouse gas emissions, the measurement value being measured by a sensor at a plant for process manufacturing, acquire, based on the acquired measurement value, the amount of the greenhouse gas emissions integrated in a predetermined period, predict a future trend in the amount of the greenhouse gas emissions, based on a past trend, and control a display to display an image representing the past trend and the predicted future trend in the amount of the greenhouse gas emissions.

The present invention relates to a multi-process manufacturing quality prediction method based on an autoencoder and a graph attention network. The method includes: obtaining the time series feature data obtained by the process sensor detection of each process on the production line, constructing a total process data set, inputting it into a semiconductor multi-process quality prediction model, preprocessing the data set, grouping the features according to the number of stages, and inputting the features in each stage into a multi-layer stacked autoencoder, reducing the features to the same dimension to obtain the final intermediate features, and using the intermediate features as the node input of the graph attention network, iteratively updating to obtain the final node output, wherein the graph attention network adopts a residual mechanism, and uses the final node output as the input of the final feedforward neural network to obtain quality feature regression prediction. The present invention realizes multi-dimensional and multi-stage modeling by combining autoencoder feature dimensionality reduction technology with graph neural network data mining technology.

The invention discloses a process manufacturing factory material scheduling system based on intelligent agents. The system comprises a central coordination intelligent agent, a plurality of process intelligent agents, a video subsystem and a trolley subsystem. The scheduling method based on the system comprises the following steps: S1, initializing the system; s2, real-time state monitoring; s3, dolly scheduling decision making: the process agent calculates the priority of each transport task according to the priority function; s4, according to the queue capacity of the downstream workshop and the current outlet material quantity, S5, path decision making; s6, returning a path decision; s7, performing global optimization adjustment; s8, performing exception handling and cooperative adjustment; according to the invention, organic combination of local autonomy and global coordination is realized, the real-time response capability of the system is ensured, global optimization is also realized, and compared with traditional centralized control, the system is faster in response; multiple constraint conditions and optimization targets are considered, the average waiting time of materials can be reduced by one third, and the trolley utilization rate can be improved by one fourth.

The invention discloses a method for predicting the moisture of an outlet material by using a time convolutional neural network, and the method comprises the steps: collecting the historical process data of a process manufacturing production line, and constructing a multivariate time series data set; preprocessing the multivariate time series data set to obtain preprocessed data, and dividing the preprocessed data into a training set and a test set according to an acquisition cycle sequence; introducing the time convolutional neural network into a dual attention mechanism to build a DA-TCN prediction model; training the DA-TCN model by using the training set to obtain a trained DA-TCN prediction model; and verifying the test set by using the trained prediction model DA-TCN to obtain a DA-TCN prediction model passing the verification for predicting the moisture of the outlet material. According to the method, the DA-TCN prediction model used for predicting the outlet material moisture is established by introducing the time convolutional neural network into a dual attention mechanism, and the method is further used for predicting the outlet material moisture in the sheet cut tobacco drying process.

The invention discloses a mask layout processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of mask layouts including cutting mask layouts and to-be-processed mask layouts, each cutting mask layout including a cutting pattern, and the to-be-processed mask layouts including isolated cutting patterns; adding an initial pseudo graph corresponding to the isolated cut graph in the mask layout to be processed based on the cut graph in the cut mask layout; predicting a simulation ADI result of the isolated cutting graph based on graph information of the isolated cutting graph in the to-be-processed mask layout added with the initial pseudo graph; when the simulation ADI result does not meet the preset condition, the initial pseudo graph is adjusted, and the graph information is updated based on the adjusted initial pseudo graph until the simulation ADI result meets the preset condition, and a target cutting mask layout corresponding to the to-be-processed mask layout is obtained. The problem that the process manufacturing requirement cannot be met due to the fact that the etching deviation of isolated cutting patterns is small is solved.

The invention discloses a complex process industry-oriented multi-level progressive parameter optimization method, which comprises the following steps of: analyzing the correlation between M process parameters and a quality index one by one to determine the importance degree of each process parameter to the quality index; sorting the importance degrees of the quality indexes in a descending order according to the process parameters to obtain the process parameters sorted according to the importance degrees; according to the sorted technological parameters, a technological parameter layering method based on correlation analysis is constructed, hierarchical division of the technological parameters is achieved, and a multi-level technological parameter combination is obtained through C times of division; modeling optimization is carried out in sequence from the Cth layer of technological parameter combination to the first layer of technological parameter combination, and the optimal solution of the first layer of technological parameter combination to the optimal solution of the Cth layer of technological parameter combination are obtained. According to the method, the problem of optimization difficulty caused by low modeling prediction precision and various process parameters in complex process manufacturing is effectively solved, and the method is of great significance in guaranteeing the process quality and improving the processing efficiency for process manufacturing enterprises.

The invention relates to the technical field of circuit board slicing, and particularly discloses a control method for improving slice hole quality, which comprises the following steps: preparing a high Tg prepreg matched with a slice hole in size according to the size of the slice hole to be filled, and filling the slice hole by using the high Tg prepreg to enable the high Tg prepreg to be flush with the surface of a line-in-line board, by utilizing the heat resistance of the high-Tg prepreg, multiple lamination can be carried out, and after actual operation verification, the laminated surface condition is not bad, an electroplated product board does not have bubbles and local layering, the problem of liquid medicine permeation is not found after electroplating, the process manufacturing is not influenced, and the production quality of the circuit board is effectively improved; the size of the high-Tg prepreg is matched with the size of the to-be-filled slice hole, and only the high-Tg prepreg needs to be plugged into the slice hole during filling, so that the operation is simple, and the filling convenience of the high-Tg prepreg and the slice hole is improved.

The invention relates to the technical field of data management, in particular to an industrial data management control system and method for furniture customization, and the system comprises a pre-selected scheme preliminary making module, a scheme multi-source data reasonability judgment module, a scheme evaluation and screening module, and an early warning signal generation and processing module. The scheme multi-source data rationality judgment module is used for performing periodic processing test on different product prediction assembly schemes in sequence, analyzing product qualification conditions by combining corresponding periodic processing test reports, and calculating comprehensive benefit conditions of corresponding products according to analysis results; according to the method, the benefit condition generated by the combination scheme of different parts in the product production in the to-be-monitored area is analyzed and obtained, the optimal process manufacturing scheme is generated in combination with the benefit condition, and the optimal process manufacturing scheme is calibrated in real time in combination with the corresponding product demand list, so that the production efficiency is improved, the product production flexibility is improved, and the product quality is improved. And maximization of the production benefit of the product is realized.

The invention belongs to the technical field of ferrous metallurgy and material modification, and particularly relates to a preparation method of green short-process hot work die steel, which comprises the following steps: obtaining scrap steel, adding alloy, and smelting to obtain molten steel; the molten steel is refined through fluoride-free rare earth refining slag, and refined molten steel is obtained; adding a nanoparticle modifier into the refined molten steel to obtain modified molten steel; and the modified molten steel is subjected to continuous casting or die casting, and the hot work die steel is obtained. According to the method, the fluorine-free rare earth slag refining and nano particle modification combined technology is adopted, fluorine-containing refining slag and traditional electroslag remelting are effectively replaced, power consumption and carbon emission in the smelting process are reduced, the technical development requirements of current green manufacturing and dual-carbon targets are met, and green short-process manufacturing of the hot work die steel is achieved; and the prepared hot work die steel has higher cleanliness, a more uniform organization structure and more excellent thermal fatigue performance.

The invention discloses an integrated arc extinguishing system structure, and relates to the technical field of direct current contactors, the integrated arc extinguishing system structure is composed of arc extinguishing chambers, a moving contact assembly and static contact assemblies, the two sides of the moving contact assembly are symmetrically connected with independent arc extinguishing chambers respectively, and the upper sides of the arc extinguishing chambers located on the two sides are correspondingly provided with the static contact assemblies respectively. Two sides of the movable contact assembly are provided with movable arc striking sheets, the static contact assembly is provided with static arc striking sheets, each independent arc extinguishing chamber is correspondingly provided with a movable arc striking sheet and a static arc striking sheet, and one side, close to the movable contact assembly, of each movable arc striking sheet and one side, close to the movable contact assembly, of each static arc striking sheet are correspondingly arranged. The arc extinguish chambers symmetrically arranged on the two sides of the moving contact assembly are the same in structure and have a good arc extinguish effect, and the contactor is small in size, high in operation load, relatively simple in arc extinguish structure and process manufacturing and low in cost.

Method for manufacturing a bipolar transistor. This description relates to a method for manufacturing a bipolar transistor (10) comprising: a. the formation, on a substrate (12), of a first stack of layers comprising a first layer (18) of the base material of the bipolar transistor between second (16) and third (20) insulating layers; b. the formation of a first cavity (22) passing through the first stack so as to reach the substrate (12), the step of forming the first cavity (22) not comprising etching any layer covering the first layer (18) other than the third layer (20); and c. the formation of a first portion (26) of the collector of the bipolar transistor and a second portion (28) of the base of the bipolar transistor in the first cavity. Figure for the abstract: Fig. 3

The invention discloses a process information processing method and device for an Office platform, electronic equipment and a storage medium, and the method comprises the steps: obtaining an Office file containing a plurality of pieces of process information, and defining each piece of process information as an object; constructing a regular expression of the feature identification code of the object; screening all the objects in the Office file according to the regular expression to form an object set; matching the objects in the object set with preset objects; and if the matching is successful, processing the successfully matched object, and if the matching is not successful, ending. According to the method, the process information in the office file is matched and processed through the regular expression of the feature identification code, the compiling efficiency of the process information in the process manufacturing process is improved, and the reliability of the process information conversion process is improved.

The utility model belongs to the technical field of automobile cooling systems, and particularly relates to a cooling system which comprises a heating source, a radiator, a water pump and an expansion kettle, the heating source is communicated and connected with the radiator through the water pump, the radiator is communicated and connected with the expansion kettle through an exhaust pipe and a water supplementing pipe, a cooling fan is arranged on the radiator, and the expansion kettle is a non-pressure kettle. The expansion kettle has the advantages that the expansion kettle does not have pressure design, and does not participate in system circulation, so that the expansion kettle has the characteristics of low temperature, no pressure, flexible arrangement, good durability and the like in the use process; and meanwhile, the structural design and process manufacturing of the expansion kettle can be simplified, the expansion kettle can be manufactured by adopting cheaper materials and adopting blow molding and other processes, and the material cost and the mold cost are greatly reduced.

The invention provides a panel for surface decoration and a processing method thereof, and relates to the field of surface decoration, the panel for surface decoration and the process manufacturing method thereof are characterized in that a texture layer, an injection molding layer and a surface protection layer with specific components and structures are arranged, and optimized process parameters are combined, so that the surface decoration quality is improved; according to the invention, the combination of high simulation degree and lightweight structure of the natural stone texture is realized, the interlayer bonding strength and surface wear resistance are ensured, and the method has the advantages of high texture trueness, excellent structural strength and high production efficiency.

The invention relates to a method for preparing a low dark current silicon drift detector based on a double-sided temporary bonding process, which comprises the following steps of: after a front surface process of an SDD wafer is finished, carrying out temporary bonding on the front surface of the SDD wafer by adopting a temporary bonding adhesive and a temporary bonding glass slide; thinning and polishing the back surface of the SDD wafer after the temporary bonding is completed, and carrying out a CMP (Chemical Mechanical Polishing) process on the back surface of the SDD wafer after the thinning and polishing to eliminate a damaged layer and reduce the dark current of a device; then, process manufacturing is carried out on the back face of the SDD wafer, after manufacturing is completed, the glass sheet and the SDD wafer are stripped off through a laser debonding process, and the front face of the wafer is exposed; when the active region of the SDD wafer is manufactured, a thin gate oxide layer is adopted for doping for shielding injection, the shielding oxide layer is removed after injection is completed, furnace tube oxidation and annealing are carried out, and the dark current of a device is reduced; when the oxide layer of the SDD contact hole is removed, a manufacturing process combining dry etching and wet etching is adopted, so that damage to a silicon substrate is avoided, and dark current of a device is reduced.

Industrial Internet of Things for automatic executing product manufacturing based on a task is provided. The Industrial Internet of Things is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time, perform a manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data.

The invention provides a short-process manufacturing method of 3Cr13 high-carbon martensite chromium stainless steel for a cutter. The 3Cr13 high-carbon martensite chromium stainless steel for the cutter comprises the following chemical components in percentage by weight: 0.29-0.31 wt% of C, less than or equal to 0.45 wt% of Si, 0.50 wt% of Mn, less than or equal to 0.030 wt% of P, less than or equal to 0.008 wt% of S, less than or equal to 0.006 wt% of N, 12.20-12.50 wt% of Cr, less than or equal to 0.20 wt% of Ni and the balance of Fe. The short-process manufacturing method of the 3Cr13 high-carbon martensite chromium stainless steel for the cutter comprises the following steps: smelting 400-series stainless steel waste serving as raw materials in an alloy melting furnace, tapping with slag, carrying out LF (ladle furnace) refining, continuously casting, carrying out hot delivery, carrying out hot rolling, inspecting, blackening, annealing, pickling and obtaining a white-skin finished product. According to the method, the defects of cracks, scabs and pits on the surface of the casting blank are eliminated, and C-type center segregation is smaller than or equal to 1.0 grade.

The utility model discloses an integrated arc extinguishing system structure, which relates to the technical field of direct current contactors and comprises arc extinguishing chambers, a moving contact assembly and static contact assemblies, the two sides of the moving contact assembly are respectively and symmetrically connected with independent arc extinguishing chambers, the upper sides of the arc extinguishing chambers on the two sides are respectively and correspondingly provided with the static contact assemblies, and the static contact assemblies are respectively and correspondingly connected with the moving contact assembly. Two sides of the movable contact assembly are provided with movable arc striking sheets, the static contact assembly is provided with static arc striking sheets, each independent arc extinguishing chamber is correspondingly provided with a movable arc striking sheet and a static arc striking sheet, and one side, close to the movable contact assembly, of each movable arc striking sheet and one side, close to the movable contact assembly, of each static arc striking sheet are correspondingly arranged. The arc extinguish chambers symmetrically arranged on the two sides of the moving contact assembly are the same in structure and have a good arc extinguish effect, and the contactor is small in size, high in operation load, relatively simple in arc extinguish structure and process manufacturing and low in cost.

The invention relates to a multi-process manufacturing quality prediction method based on an auto-encoder and a graph attention network. The method comprises the following steps: acquiring time sequence characteristic data detected by a flow process sensor of each process on a production line, constructing a total flow process data set, inputting the total flow process data set into a semiconductor multi-process quality prediction model, preprocessing the data set, grouping characteristics according to the number of stages, and determining the quality of the semiconductor multi-process quality prediction model. The features in each stage are input into a multi-layer stacked auto-encoder, the dimensions of the features are reduced to the same dimension to obtain final intermediate features, the obtained intermediate features are used as node input of a graph attention network, iterative updating is carried out to obtain final node output, the graph attention network adopts a residual mechanism, and the final node output is obtained. And taking the final node output as the final input of the feedforward neural network, and obtaining quality feature regression prediction. According to the method, multi-dimensional and multi-stage modeling is realized through combination of an auto-encoder feature dimension reduction technology and a graph neural network data mining technology.

The application provides a motor rotor and a self-starting synchronous reluctance motor. The motor rotor comprises a rotor core (1), and the rotor core (1) is provided with filling grooves and slit grooves (2). The filling grooves comprise non-independent filling grooves (3) and q-axis filling grooves (4). The non-independent filling grooves (3) are separated from the slit grooves in the same layer by a separation rib (5). The width of the separation rib (5) in the d-axis direction is L. The width of the end of the filling groove arranged in the same layer as the separation rib (5) close to the separation rib (5) is M. The relationship between L and M satisfies 0.2M≤L≤0.35M. Meanwhile, the width of the end of the slit groove (2) arranged in the same layer as the separation rib (5) close to the separation rib (5) is K, and K satisfies K≤M. According to the motor rotor, the mechanical strength of the rotor can be enhanced, the deformation of the rotor in the manufacturing process can be reduced, and the difficulty of the process manufacturing is reduced.

The application discloses a manufacturing method of a high-shielding flexible plate and the high-shielding flexible plate, and provides the flexible plate, which comprises a first film layer, a circuit copper layer and a second film layer, and the first film layer and the second film layer are respectively arranged on the upper and lower surfaces of the circuit copper layer; the flexible plate is subjected to roughening treatment; a silver paste pattern layer is screen-printed on the first film layer, and baking and curing are carried out; a third film layer is attached to the silver paste pattern layer after curing, and rapid pressing is carried out to form the high-shielding flexible plate. The silver paste pattern layer with high shielding characteristics is manufactured on the film layer, and another film layer is manufactured on the silver paste pattern layer to form a good double-layer pattern and double-layer film layer structure, and a reliable process manufacturing method is formed, the high shielding characteristics can be effectively realized, the flexibility of the flexible circuit board itself is not affected, and the flexible plate with high shielding performance can be provided for connectors and high-precision instruments.