3140 results about "Textile printer" patented technology

An ink jet textile printing method according to one embodiment of the present disclosure includes a reaction solution attaching step of attaching a reaction solution containing an aggregating agent that aggregates components in an ink, and water to a fabric using an ink jet method, a transparent ink attaching step of attaching a transparent ink composition containing anionic resin particles and water to a fabric using the ink jet method, and a colored ink attaching step of attaching a colored ink composition containing a pigment, resin particles, and water onto a region, to which the transparent ink composition is attached, using the ink jet method, in which the reaction solution attaching step and the transparent ink attaching step include Step 1, and in Step 1, a range of a minimum value of a total attachment amount of the reaction solution and the transparent ink composition per unit area / per unit time is 34 mg / (s·inch2) or more, Step 1: applying the reaction solution and the transparent ink composition to the same region in the fabric in a single scanning of an ink jet head.

The invention relates to the technical field of digital image processing and digital printing control, in particular to a digital printing color calibration method and system based on real-time image processing, and the method comprises the steps: constructing a fabric surface feature point coordinate set through a mixed feature tracking technology; calculating and predicting a target deformation field of the fabric at the printing position by applying a self-adaptive time domain prediction algorithm; and performing dynamic pixel interpolation on the original digital image by combining the target deformation field and the fabric texture feature map analyzed in real time to generate final printing image data. According to the invention, by combining high-robustness tracking, high-precision adaptive prediction and high-fidelity image generation technologies, the geometric precision and visual quality of printed products are significantly improved.

The invention discloses an underwear registration and typesetting method based on machine vision, relates to the technical field of underwear processing, and solves the problem that an original typesetting processing mode cannot perform registration and typesetting processing on underwear of different sizes. Matching and combining with a printing starting line of the registration template; the registration template and the registration template are overlapped through equal-ratio amplification and angle feature adjustment, and finally a registration complete area is determined; the process ensures that the registration template can be accurately applied to the registration and typesetting area, efficient and accurate registration and typesetting treatment is achieved, the quality and efficiency of underwear registration and typesetting are improved, and the requirement for refined registration and typesetting in the production process can be met.

The invention relates to the technical field of textile dyeing sewage treatment, in particular to textile dyeing sewage treatment equipment. Comprising a purification box and a pretreatment box, and the interior of the pretreatment box communicates with the interior of the purification box; a sewage collecting box is fixedly connected to the purifying box, an auxiliary box is fixedly connected to the purifying box, an incomplete gear is driven by a first motor to rotate in the anticlockwise direction, so that a first conveying roller and a second conveying roller rotate synchronously, synchronous movement of a filter screen conveying belt is achieved, the filter screen conveying belt moves uninterruptedly while filtering is conducted, and the filtering efficiency is improved. The filter screen conveying belt entering the cleaning box is deeply cleaned through the wadding scraping mechanism and the deep cleaning mechanism, the filtering effect of the filter screen conveying belt is effectively improved, the filtering effect of sewage is improved through secondary filtering, the device enables sewage to be filtered more thoroughly, meanwhile, self-cleaning of the filter screen conveying belt can be conducted, and the service life of the filter screen conveying belt is prolonged. Manual replacement and manual cleaning are not needed, and the workload of workers is effectively reduced.

The invention relates to the technical field of damping and shock absorption, in particular to a damping-adjustable composite shock absorption system for textile printing and dyeing equipment, which comprises a bottom plate and a top plate, a first shock absorption unit and a movable plate are mounted between the bottom plate and the top plate, and a first buffer spring is fixedly connected between the top plate and the movable plate; a second damping unit is installed between the movable plate and the bottom plate. During damping, vibration is buffered through telescopic deformation of a first buffer spring and a second buffer spring, oil liquid is pushed to flow in backflow oil pipes through vertical movement of a first piston rod, vibration energy is consumed through friction force between the oil liquid and the backflow oil pipes, and vibration of a machine body is restrained; the different backflow oil pipes are switched to be communicated with the oil storage cavity through the switching mechanism, the longer the backflow oil pipes are, the larger the on-way resistance when oil passes through the backflow oil pipes is, the higher the damping force is, and the damping device can be conveniently installed on textile printing and dyeing equipment with different vibration intensities for damping.

The invention provides a digital printing defect detection method based on a lightweight network, and the method comprises the steps: inputting a to-be-detected image into a trained detection model, enabling the trained detection model to execute a detection process, and obtaining a detection result whether a digital printing fabric has a defect or not. The detection process comprises the following steps: performing wavelet transform on a to-be-detected image to extract a high-frequency component and a low-frequency component, and extracting contour semantic mixed features by using the high-frequency component and the low-frequency component; enhancing the contour semantic mixed features to obtain enhanced contour semantic mixed features; and performing classification detection according to the enhanced contour semantic mixed features. A wavelet convolution module, a parallel module containing an attention mechanism and an improved multi-scale bottleneck module are designed for the trained detection model, so that the detection effect is improved, more efficient and accurate defect detection under the same hardware condition is realized, and the detection efficiency is improved. The problems of low detection precision, low speed, difficulty in generalization and the like in digital printing fabric defect detection in the prior art are solved.

The invention provides a method and system for salt separation, evaporation and crystallization of printing and dyeing wastewater, and the method comprises the following steps: sequentially carrying out multi-stage synergistic pretreatment on textile printing and dyeing wastewater to remove suspended solids, degrade organic matters and reduce hardness; the pretreated wastewater is subjected to membrane salt separation treatment, and preliminary separation of salt is achieved through reverse osmosis pre-concentration and nanofiltration salt separation; and respectively carrying out evaporative crystallization treatment on the separated high-concentration salt solution to obtain high-purity sodium sulfate and sodium chloride products. According to the method, the salt recovery rate and the product purity are remarkably improved, the energy consumption and the operation cost are reduced, meanwhile, the problems that in traditional printing and dyeing wastewater treatment, salt is difficult to separate, and the crystallization purity is low are solved, and an innovative solution is provided for high-valued resource recovery of industrial wastewater.

The invention discloses a textile printing and dyeing method and device. The method comprises the steps of obtaining first raw material information; obtaining first material information and first thickness information according to the first raw material information; inputting the first material information and the first thickness information into a first training model to obtain first printing and dyeing process information; obtaining a first printing and dyeing effect according to the first printing and dyeing process information; obtaining a first demand of a first user; obtaining a first comparison result according to the first printing and dyeing effect and the first demand; judging whether a first preset threshold value is met or not; and if yes, carrying out printing and dyeing according to the first printing and dyeing process information. The technical problems that in the prior art, dyeing and finishing equipment process parameter on-line control technology is low in level, the quality of printed and dyed products is affected, requirements of customers are difficult to meet, and economic benefits are affected are solved. The technical effects that the printing and dyeing process is scientifically formulated according to the characteristics of the textile in combination with industrial standards, the printing and dyeing quality of the textile is improved, and the customized printing and dyeing requirements of customers are met are achieved.

The invention relates to a multi-model-based printed cloth pattern quality monitoring method, which comprises the following steps of S1, carrying out image acquisition by adopting a multispectral camera to obtain multispectral image data of printed cloth, and carrying out preprocessing; s2, introducing a generative adversarial network (GAN), and enhancing the image quality by using a generator in the GAN, including denoising and detail enhancement; s3, combining Swin Transform with dynamic convolution to construct an image segmentation model, and based on the image segmentation model, performing accurate segmentation of the printed cloth, and extracting each printed area; s4, according to the segmented image data, color, texture and pattern features of printing are obtained, and fusion features are constructed; and S5, constructing a printed cloth pattern detection model, identifying abnormal patterns which do not meet quality requirements based on the fusion features, and obtaining a quality score of the printed cloth according to a detection result of the printed cloth pattern detection model. According to the invention, accurate segmentation and feature extraction of the printed cloth are realized, and comprehensive quality detection is realized by fusing various feature information.

The invention relates to the technical field of textile printing and dyeing, in particular to a setting machine cropping moisture content control method and system based on MPC. An MPC model is constructed, and the MPC model comprises the steps that actually-measured and preset water content and the first control parameter state vector serve as input, and predicted water content is obtained; minimizing the difference value between the predicted water content and the preset water content as a target; solving and optimizing the control increment by using the optimization matrix and sequential quadratic programming; and performing action regulation and control on an execution mechanism by utilizing the optimal control increment. The invention solves the problems of insufficient detection precision, hysteresis and poor interference resistance in the existing single temperature feedback control of the moisture content of the fabric.

The invention relates to the technical field of computer-aided engineering, in particular to a pure cotton dark-color fabric dye-resistant area dynamic prediction method based on a dye diffusion model. The method comprises the following steps: acquiring a parameter data set representing a fabric microstructure, dye properties and a printing process; on the basis, a multi-scale coupling mathematical model is constructed, the dye diffusion range is predicted, the diffusion process is decomposed into seepage diffusion between macroscopic yarns and diffusion in microcosmic fibers through the model, and the diffusion rate difference of the dye in the fabric direction is represented through anisotropic diffusion tensors; through finite element analysis of structure perception, running a model to calculate dye space-time concentration distribution, and generating geometric data for predicting a bleeding boundary according to a preset concentration threshold value; according to the data, printing process parameters and model parameters are adjusted in a self-adaptive mode, and dynamic prediction of the dye-resistant area is achieved; according to the method, computer simulation and finite element analysis technologies are utilized, and the accuracy of dynamic prediction of the dyeing-resistant area of the pure cotton dark-color fabric is improved.

The invention relates to the field of wastewater treatment, in particular to an online analysis method and system for ink-jet printing wastewater treatment data, and the method comprises the steps: obtaining the water quality, process and equipment state parameter data of ink-jet printing wastewater based on each sensor, and constructing an original data matrix through preprocessing; decomposing the matrix, selecting a preset number of principal components for reconstruction, and generating a reconstructed data matrix; a reconstruction error is calculated by analyzing the difference between an original matrix and a reconstruction matrix, a correlation distortion index is analyzed based on row vector similarity, and an objective function is constructed to determine the number of optimal principal components; and clustering is carried out by using reconstruction errors and distances, abnormal data points are screened, and process parameters are regulated and controlled. According to the method, by optimizing the number of principal components and improving clustering analysis, the noise interference problem under complex water quality changes is effectively solved, the anomaly detection precision and the system stability are remarkably improved, and the robustness and the adaptability of an ink-jet printing wastewater treatment system are enhanced.

The invention belongs to the technical field of napkin production equipment, and discloses full-automatic production equipment for internally-separated and stacked napkins, which comprises a feeding frame, a first rack and a second rack, and a printing device, a slitting device and a folding device which are sequentially arranged along the X-axis direction are mounted on the first rack; a cutting device, a folding device and a discharging device are mounted on the second rack; the cutting device comprises a paper feeding air suction roller, a lower cutting roller, a paper discharging air suction roller and an upper cutting roller, and the upper cutting roller is connected with a cutter lifting assembly; the folding device comprises a folding assembly and a paper blocking assembly. The discharging device comprises a material receiving assembly, a middle bearing assembly and a feeding assembly. The conveying tail end of the feeding assembly is connected with a two-way discharging conveyor. According to the napkin post-processing and packaging device, integrated configuration of the whole post-processing procedure is achieved, full-automatic operation of napkin post-processing and packaging procedures is achieved, manual participation is not needed, the napkin processing efficiency is greatly improved, and the product quality and safety of napkins are guaranteed.

The invention relates to the field of textile printing and dyeing, and discloses a dyeing method and device based on a dyeing prediction model, computer equipment and a storage medium. Processing the dyeing demand through the dyeing prediction model to obtain an initial dyeing process and the credibility of the initial dyeing process; setting experimental parameters of a dyeing test experiment according to the initial dyeing process and the credibility; obtaining a test result of the dyeing test experiment; and determining a target dyeing process meeting the dyeing requirement according to the test result. The problems of less dyeing data and low model result accuracy can be solved.

The invention discloses a wool fiber dyeing method based on an electrostatic spraying technology, and belongs to the field of spinning. The method comprises the following steps: firstly, preparing electrostatic dye liquor containing acid dye; then, the wool fabric is subjected to wetting pretreatment with water; fixing the pretreated wool fabric on a collecting device, and uniformly spraying the dye liquor onto the wool fabric through an electrostatic spraying technology; and finally, carrying out color fixation treatment through open-width steaming to obtain the wool fiber material dyed by the acid dye. The dyeing method greatly reduces the use of water resources and dyeing assistants, greatly reduces the generation of printing and dyeing wastewater, is a green and environment-friendly wool fiber dyeing technology, and has huge application potential in the textile printing and dyeing industry.

The invention discloses ink with high dye utilization rate for inkjet printing and a preparation method of the ink. The ink is prepared from the following components in percentage by mass: 1.7-3.7% of a cationic auxiliary agent; 3.5%-3.8% of a reactive dye; 22.9% to 28.5% of a viscosity modifier; 0.4%-0.7% of a surfactant; and the balance of deionized water. The method effectively solves the problems of long treatment flow, high consumption of chemicals and energy sources and large discharge amount of colored wastewater caused by low utilization rate of the reactive dye; the dye utilization rate reaches 98.5% or above, and the ink-jet printing ink can be widely applied to ink-jet printing of cellulose fiber fabrics such as cotton, hemp and lyocell; the fabric does not need to be subjected to pretreatment and water washing treatment; and the preparation method is simple, the treatment process is short, the ink stability is good, and the ink can be used in a high-speed printing mode with the injection frequency of 30 KHz.

The invention discloses a preparation method of a natural latex grafted lignin biological adhesive. The preparation method comprises the following steps: dissolving lignin in deionized water to prepare a 15wt% lignin solution; adding 1 part of 2wt% ammonium persulfate solution, heating to 60 + / -2 DEG C, and stirring at the speed of 300-330rpm for 45 minutes to obtain a lignin and ammonium persulfate mixed solution; adding 15 parts of the mixed solution into 100 parts of natural latex, heating to 60 + / -2 DEG C, stirring at the speed of 300-330rpm for 3 hours to promote graft polymerization reaction of the lignin and the natural latex, and cooling at room temperature to obtain the natural latex grafted lignin biological adhesive. According to the invention, natural latex and lignin are taken as main raw materials, harmful substances common in the traditional petroleum-based adhesive are not contained, and the adhesive is friendly to human body and environment, safe to use, simple and feasible in preparation process, wide in raw material source and easy for large-scale production, is suitable for multiple fields of wood processing, furniture manufacturing, textile printing and dyeing and the like, and has a wide market prospect.

The invention discloses a degraded image adversarial learning-based simulation embroidery design image reality evaluation method, and belongs to the technical field of digital printing. The method comprises the following steps: constructing an imitation embroidery design image adversarial learning evaluation model, wherein the model comprises a multi-scale degradation algorithm module, an embroidery design image generation sub-model and an embroidery design image evaluation sub-model; through image degradation, image reconstruction and region-by-region evaluation processes, design reality evaluation of different regions of the embroidery-imitating design image is realized in combination with an adversarial technology.

The application discloses a kind of imitated plant leaf hydrogel composite material and preparation method thereof, belong to bionic composite material field.The application first by colorant compounding preparation printing paste, and fabric is printed, obtain the green fabric that can realize to plant leaf " green peak " and " red edge " spectral characteristic simulation, and with green fabric simulation leaf structure in fence organization and skeleton;Then with biomaterial polyvinyl alcohol (PVA) as base material, join with strong hygroscopic monomer and crosslinking agent, initiator blend preparation hydrogel prepolymer solution;Finally, hydrogel prepolymer solution is poured into the mold containing green fabric and copolymerization, it directly forms hydrogel in fabric surface and pore interior, obtains imitated plant leaf hydrogel composite material.The material gets rid of the dependence on hygroscopic salt, has water absorption and simulation effect stable, durability is good and the like advantages.

The invention discloses an automatic planning digital printing control system, which belongs to the technical field of printing control systems and comprises an order uploading, analyzing and planning system and a plurality of digital code identifying and printing units. Each digital code identifying and printing unit has a unique identification code, and the order uploading, analyzing and planning system manages the digital code identifying and printing units based on the unique identification codes; the unique identification code is bound with the size of a textile product with a printed pattern; the order uploading, analyzing and planning system comprises an order uploading module, a server, an order analyzing module, a customer code generating module and an order planning module. Through the above mode, the method achieves the automatic planning and distribution of the textile products to the corresponding digital ink-jet printing machines through the recognition of the sizes of the textile products in the orders, thereby improving the printing efficiency.

The invention belongs to the technical field of textile printing and dyeing, relates to an efficient reactive dye ink-jet dyeing process and application, and aims to solve the problems that the traditional dyeing proofing process is tedious, the color difference of front and back surfaces of ink-jet dyeing is large, and the dye utilization rate is low. The process comprises the following steps: firstly, padding a fabric in an aqueous solution until the pick-up rate is controlled to be 60-120%, and carrying out ink-jet printing on reactive dye ink (the viscosity is 3-10 mPa.s and the surface tension is 20-50 mN / m) in a wet fiber swelling state; after printing, a 1%-10% alkali solution is immediately padded to promote permeation of the dye; and then pre-drying at 60-70 DEG C, steaming with saturated steam at 100-102 DEG C for 5-15 minutes, and washing with water to complete color fixation. According to the technology, the K / S ratio of the front face and the back face of the dyed fabric is larger than or equal to 0.95, the color fastness of the dry friction level 4-5 or above, the color fastness of the wet friction level 4-5 and the color fastness of the soaping level 4-5 are achieved, and the technology is suitable for green efficient dyeing of small-batch multi-variety fabric.

The invention discloses a digital printing fabric defect detection method, and relates to the technical field of electric digital data processing. The digital printing fabric defect detection method comprises the following steps: analyzing complexity; collecting a data set; constructing a model; and testing the sample. According to the method, the fabric image complexity is obtained through the digital printing fabric grey-scale map, the digital printing fabric grey-scale map is subjected to secondary processing according to the fabric image complexity to obtain the model data set, then the to-be-evaluated defect detection system model is constructed through the model data set, and the model evaluation is performed to obtain the defect detection system model. Inputting the image of the test sample into the defect detection system model to obtain a detection result, and finally analyzing the detection result in combination with the preset time interval and the defect index to determine whether alarm information needs to be sent out, so that the defect detection efficiency of the digital printing fabric is improved. The problem that in the prior art, the digital printing fabric defect detection efficiency and the defects of the digital printing fabric are not sufficiently associated is solved.

The invention relates to the technical field of image processing, and discloses an accurate image segmentation method applied to fabric defect detection, which comprises the following steps: an image preprocessing stage: carrying out graying processing on an input printed pattern fabric image, simplifying image color information, removing redundant noise in the image by using a denoising technology, and carrying out image segmentation; images are ensured to be clear and pure; in the image decomposition link, the preprocessed image is finely divided into a flaw area and a fabric texture area by means of an image decomposition algorithm, and a foundation is laid for subsequent processing; and carrying out binarization processing on the defective part, specifically, aiming at the decomposed defective part, applying a two-dimensional Otsu threshold segmentation method, calculating an optimal threshold, clearly distinguishing a defective region from a background, and generating a binary image. The purpose of the image precise segmentation method applied to fabric flaw detection is to decompose a printed fabric image into a flaw part and a texture part through a specific algorithm and model so as to realize precise segmentation of flaws.

The invention provides a washable stable humidity-sensitive printing paste composition, a humidity-sensitive printing paste and a preparation method and application thereof. The washing-resistant stable humidity-sensitive printing paste composition comprises humidity-sensitive resin, an interface anchoring agent, a rheology modifier, a latent cross-linking agent and water, the humidity-sensitive resin contains amino and / or hydroxyl, and the latent cross-linking agent is selected from oxime-terminated alicyclic polyisocyanates or derivatives thereof. The latent cross-linking agent has chemical inertness at room temperature and can ensure the rheological stability of the slurry in the printing process, in the baking process, an end-capping reagent in the latent cross-linking agent is dissociated, an isocyanate group and amino and / or hydroxyl in the humidity-sensitive resin are subjected to a cross-linking reaction to form a semi-interpenetrating network structure, and the structure allows water molecules to enter and exit, so that the moisture-sensitive printing ink is formed. The fabric has the humidity-sensitive response characteristic, excessive swelling and movement of hydrophilic chain segments can be limited, dissociation or falling of humidity-sensitive resin under the action of washing shearing force is prevented, and the humidity-sensitive characteristic and washing-resistant stability are improved.

The invention provides an intelligent textile printing and dyeing sewage treatment method and system based on edge computing, and relates to the technical field of textile printing and dyeing sewage treatment.The method comprises the steps that edge computing nodes are deployed on multiple treatment devices to collect water quality parameters, a neural network is trained through historical data, and the network structure is optimized according to the fluctuation amplitude; the corresponding relation between the water quality parameters and the equipment efficiency is calculated to predict abnormity, the particle swarm optimization is combined to optimize the operation parameters, and the adjustment strategy is determined based on the effluent standard-reaching rate, the energy consumption and the cost, so that the intelligent treatment of the textile printing and dyeing sewage is realized, the treatment efficiency and the effluent quality are improved, and the energy consumption and the operation cost are reduced.

The invention discloses a cloth printing positioning method and system based on image processing, and relates to the technical field of image processing, and the method comprises the following steps: S1, collecting a cloth printing image, and preprocessing the cloth printing image to obtain a region of interest; s2, sliding window traversal is carried out in the region of interest, the gray level and the gray level proportion of each sliding window are obtained, and abnormal printing points are obtained according to the gray level proportions of the sliding windows; s3, obtaining all abnormal printing connected domains according to all the abnormal printing points, and obtaining a minimum bounding rectangle of the abnormal printing connected domains; according to the method, the abnormal printing areas of the cloth are obtained, the accurate printing positioning points are obtained through the positioning points, the situation that the overall positioning effect of the cloth is affected due to printing abnormality is avoided, meanwhile, the accurate positioning points in the positioning points in each abnormal printing area are comprehensively decided according to the position information of each abnormal printing area, and the printing accuracy is improved. And the overall printing effect is prevented from being influenced by abnormal printing.

The invention discloses an advanced treatment agent for textile printing and dyeing wastewater and a treatment method. The advanced treatment agent comprises a component A and a component B, the component A comprises modified graphene oxide and an enzyme treatment agent; the component B comprises magnesium aluminum silicate, hydroxyapatite, hydroxypropyl methyl cellulose and chitosan, and the hydroxyapatite is coated with the magnesium aluminum silicate to form a core-shell structure. By adopting a modified graphene oxide immobilized enzyme structure, harmful components in water can be effectively adsorbed, so that the effect of greatly improving sewage purification is achieved, and meanwhile, the adsorption effect of the harmful components can be further improved by matching with aluminum-magnesium silicate coated hydroxyapatite, hydroxypropyl methyl cellulose and chitosan; meanwhile, bonding with the modified graphene oxide is beneficial to agglomeration and flocculation of substances, so that the flocculation capacity is improved, and floc separation is facilitated.

The invention discloses an ink-jet printing defect identification method and system, and relates to the technical field of image processing, and the method comprises the steps: collecting a to-be-detected printing image, and carrying out the template matching with a standard image of a corresponding printing template; calculating a color difference value between each pair of matched pixel points, obtaining a color difference matrix, dividing a color difference range, and obtaining a high color difference region and a low color difference region; based on the high-color-difference area, identifying an obvious ink dot defect area; calculating the defect probability of each pixel point based on the low-color-difference region; obtaining a corrected Euclidean distance between the pixel points based on the defect probability, and clustering and identifying an unobvious ink dot defect area; the detection result and the distribution condition of the ink dot defects are counted, and feedback regulation and control of the ink jet system are achieved; through the pixel point template matching, clustering and color difference correction technologies, the problem of unobvious ink dot defects caused by missing detection is solved, and accurate identification of the ink dot defects is realized, so that the accuracy and reliability of product quality detection are enhanced, and the printing quality of products is improved.

The invention discloses a polyester fabric printing process, which relates to the technical field of printing processes, and is characterized by comprising the following steps: fabric impurity removal, modification treatment, corona punching, color paste preparation, printing preparation, fabric printing, steaming process, and drying and shaping. The printing process of the polyester fabric is simple and orderly in steps and high in production efficiency, thread knot impurities and fine particle impurities adhered to the surface of the polyester fabric can be removed, the surface of the polyester fabric is guaranteed to be smooth and clean, water is not needed for impurity removal, water-free cleaning is achieved, and the printing process is simple and convenient. The disperse dye can be more tightly wrapped on the surface of the fabric through the film-forming characteristic of the adhesive, the washing operation is avoided, the water consumption is reduced, and the dye utilization rate is high, so that the generation of printing wastewater is reduced, the environmental pollution is reduced, and the requirements of environmental protection and sustainability are met.

The utility model relates to the technical field of solar cell production, particularly provides an embossing deviation rectifying mechanism and a pole piece processing device, and aims to solve the problem of poor embossing consistency of pole pieces. Therefore, the embossing deviation rectifying mechanism comprises the first roller, the second roller and the first driving mechanism which are oppositely arranged, and the embossing die is arranged on the first roller, so that when the first roller and the second roller synchronously rotate, the pole piece can pass through the space between the first roller and the second roller to be embossed; and the first driving mechanism can drive the first roller and the second roller to synchronously move so as to rectify the deviation of the pole piece. A pole piece is printed through the first roller and the second roller, so that the consistency of embossing of the pole piece is guaranteed, in addition, the first driving mechanism pushes the first roller and the second roller to conduct tiny translation adjustment, the pole piece is rectified, and the production quality of the pole piece is guaranteed.