51172 results about "Coating" patented technology

The invention discloses a glass lens surface scratch detection method and system, relates to the technical field of precision optical detection, and aims to solve the problems of scratch false detection, leak detection and poor algorithm adaptability caused by interference fringes, noise coupling and poor form adaptability in a high-reflection / complex coating process scene in the prior art. According to the scheme, an orthogonal polarization state composite light field is generated based on a multi-angle polarization light source array and a near-infrared compensation light source, and candidate regions are extracted through dynamic threshold segmentation and a direction gradient tensor matrix; gaussian pyramid multi-scale feature fusion and refraction angle consistency verification are utilized to eliminate artifact interference; constructing a direction constraint convolution kernel group to decompose scratches and background textures, and dynamically allocating computing resources in combination with a cascade network; feeding back closed-loop calibration light source wavelength and convolution kernel parameters in real time through coating parameters; according to the method, the precision and robustness of high-reflectivity surface scratch detection are remarkably improved, and meanwhile, the requirements for high-resolution image processing and real-time performance in a high-speed production line are balanced.

The invention provides a color steel plate coating thickness dynamic monitoring method and system based on artificial intelligence. According to the method, the temperature distribution data of the surface of the color steel plate coating is obtained, the thermal response map is generated in a pulsed eddy current excitation mode, then the temperature distribution data and the thermal response map are subjected to time sequence correlation processing, the heat conduction characteristics are extracted, and then the heat conduction characteristics are synchronously analyzed; color steel plate coating defect types and thickness abnormal grades are distinguished through a dynamic weight distribution mechanism, a detection result containing defect positions, sizes and thickness deviation values is generated, and finally a coating thickness dynamic compensation instruction is generated according to the detection result; according to the technical scheme provided by the invention, the online control precision and the production efficiency of the coating quality are remarkably improved, and a closed-loop feedback system from detection to control is formed.

The invention discloses a PCB three-proofing coating quality detection method and system. The method comprises the steps that a visible light reflection image of the surface of a PCB and scattering spectrum data of a near-infrared band are acquired; performing spatial filtering processing on the visible light reflection image to extract interface area pixels, calculating coating layer thickness gradient distribution based on Mie scattering characteristics in scattering spectrum data, and fusing to generate an edge gradient distribution map; and according to the gradient amplitude change rate in the edge gradient distribution map, segmenting the effective coverage area of the coating layer by adopting a self-adaptive dynamic threshold algorithm, and extracting curvature extreme point density and boundary fractal dimension parameters at the segmentation boundary. According to the invention, three technical barriers of difficult microdefect capture, unmeasurable interface performance and delayed failure risk in traditional detection are solved, and two-dimensional accurate diagnosis of the structural compactness and interface reliability of the coating layer is realized.

The invention discloses an industrial data analysis and mining system based on a knowledge graph, relates to the technical field of data mining, and aims to solve the problems of difficulty in cross-process parameter association and low abnormal traceability precision. The system calculates the correlation strength of the oven temperature in the coating process and the direct-current internal resistance of the battery cell in the formation and capacity grading process through a time-lag mutual information algorithm, generates an influence relation edge with a time-varying weight in combination with a temperature-internal resistance negative correlation process rule, and constructs an industrial knowledge graph; taking a direct-current internal resistance abnormal batch as a starting point, reversely traversing the knowledge graph along a process path, fusing a parameter Z-score deviation degree and a dynamic weight to generate a root cause parameter list, and realizing quality root cause positioning; instantiating abnormal parameters into event nodes, identifying star-type and chain-type propagation topologies through subgraph isomorphism detection, and extracting a standardized fault mode; based on an FCI causal discovery algorithm, a real causal structure is identified, the weight of the knowledge graph is dynamically adjusted, adaptive evolution of the graph is realized, and the accuracy and the intelligent level of complex process quality analysis are improved.

The invention relates to the field of matt films, in particular to a BOPP matt film suitable for a direct coating process and a preparation method of the BOPP matt film. The BOPP matt film suitable for the direct coating process comprises an upper surface layer, a middle core layer and a lower surface layer which are sequentially arranged, the upper surface layer is an extinction layer and comprises polypropylene random copolymer, 40-51 wt% of high-density polyethylene, 2-3 wt% of n-alkyl chain modified hyperbranched polyester and 5-8 wt% of maleic anhydride-styrene melt grafted polypropylene random copolymer; the middle core layer comprises homo-polypropylene; and the lower surface layer comprises homo-polypropylene. According to the matt film, the roughness of the matt layer can be improved by optimizing the components of the matt layer, the problem of whitening'hard spots' on the surface of the matt film in a direct coating process is solved, and then the quality of a coated matt film product is improved, so that the appearance quality of products such as laminated paper, paper boxes and labels which are subsequently laminated is ensured.

The invention relates to the technical field of cable insulation layer detection, in particular to a cable insulation layer detection device and method. Comprising a visual detection mechanism, a collision detection mechanism, a marking mechanism and a transmission mechanism, the visual detection mechanism comprises a first support frame, three detection cameras, an annular light source, three first mounting plates, a light shield and a light shielding cylinder, and the first mounting plates and the detection cameras are annularly distributed around the axis of a cable insulation layer; the abutting detection mechanism comprises a second supporting frame, a rotating disc, an abutting detection assembly and a position adjusting assembly. The marking mechanism comprises a coating pipeline, a brush and a switching assembly. The device is suitable for detection of cable insulation layers of different diameter models, through cooperation of visual detection with the shading device and the annular light source, images of the cable insulation layers are captured in multiple directions, and various appearance defects are efficiently detected; the collision detection can be accurately adjusted according to the diameter of the cable, the visual detection is assisted to improve the detection comprehensiveness and accuracy, and the defect position can be marked.

The present invention discloses a water-based emulsion of PHA, PBAT and PVOH and its application in paper-based barrier coatings. This emulsion is prepared by first melt-blending PHA and PBAT at 150-170 °C and then dispersing them into an aqueous PVOH solution at 80-95 °C. Plasticizers, cross-linking agents and surfactants can be added to improve the performance. After coating on paper and drying at 80-150 °C, a barrier film with a Cobb value of 10-15 g / m² and a Kit ≥ 10 grade is formed. Compared with traditional PE film laminating or fluorine-containing coatings, this system is more environmentally friendly and recyclable; PVOH dissolves in pulping water, PHA and PBAT are easily separated, and fibers can be efficiently recovered; in composting, soil and marine environments, PHA and PBAT have extensive biodegradability and are superior to PLA which is difficult to recycle and requires industrial composting. It is applicable to food, industrial, special packaging and agricultural paper products.

The invention discloses a repulpable and degradable PHA heat-seal barrier coating and a composition thereof, and belongs to the field of water-based functional coatings and cellulose-based packaging materials. The coating composition is prepared from the following components in percentage by non-volatile solids: 30 to 85 weight percent of polyhydroxyalkanoate emulsion, 5 to 60 weight percent of flaky natural inorganic matters, a water-based cross-linking agent and an auxiliary agent, and 1 to 20 weight percent of ethylene-acrylic acid or ethylene-methyl acrylate dispersion can be selected. The pH value of the composition is 6.5-9.0, and organic fluorine is not artificially added. When the dry weight is 6-20 g / m, the coating meets at least one of the following four items: the water vapor transmission rate (38 DEG C, 90% RH) is less than or equal to 80 g / m.d, Cobb60 is less than or equal to 15 g / m, the oil resistance grade is greater than or equal to 11, and the laboratory repulping rate is greater than or equal to 98%; and the heat-sealing peel strength is greater than or equal to 2.5 N / 15mm under the conditions of 150 DEG C, 0.2 MPa and 0.5 s. And the coating and the stripping film thereof meet the industrial composting standard.

The invention relates to the technical field of quality detection in material manufacturing and coating processes, in particular to an intelligent color difference analysis and detection method for paint, which comprises the following steps: S1, acquiring a multispectral dynamic compensation image; s2, texture-color coupling separation is carried out; s3, carrying out adaptive chromatic aberration modeling; s4, process correlation visualization is carried out, color difference data is mapped into a scalable thermodynamic diagram, and grid density is dynamically adjusted according to detection precision; and analyzing geometric feature parameters of the abnormal region, matching a process defect mode library to generate an optimization suggestion, and superposing the optimization suggestion on the thermodynamic diagram by a visual identifier. Through real-time data acquisition, texture interference elimination, model adaptive optimization and process defect analysis, the overall detection precision and efficiency are improved, the intelligent adaptive characteristic is achieved, and different production environments and base material types can be adapted, so that the coating production process is optimized, and the consistency of the coating quality is ensured.

The invention discloses a photovoltaic glass defect detection method and system based on image recognition, particularly relates to the technical field of visual inspection, and is used for solving the problem that defect recognition is interfered by optical artifacts caused by a film layer interference effect on the surface of coated glass. The method comprises the following steps: extracting interference characteristics through a reflection image to generate an optical artifact distribution diagram, positioning an interference region in a transmission image frequency domain space, constructing a process response template in combination with a sedimentary pulse frequency, and executing polarization coherence screening and time-varying deconvolution collaborative filtering to eliminate artifacts; based on energy ratio dynamic decision reinspection or defect classification process implementation, inherent optical noise and real physical defects of a material are effectively separated, and the accuracy and reliability of coated glass defect detection are remarkably improved.

The invention relates to the technical field of data monitoring, in particular to an automatic monitoring system for plasma meltallizing coating process data, which is characterized in that a parameter association relationship analysis module performs association analysis based on real-time parameters in a plasma meltallizing coating process, identifies an association relationship among the parameters and generates a process parameter association analysis result; according to the method, through multi-dimensional correlation analysis and path screening of the technological parameters, key factors influencing the coating quality and action links of the key factors are defined, and the abnormal fluctuation state and the transfer path can be accurately predicted in combination with parameter priority dynamic adjustment and real-time data feedback, so that the stability and continuity in the technological process are ensured. In the scheme, a dynamic weight distribution strategy is adopted, so that key parameters in an abnormal state occupy a higher priority position, parameter distribution is rebalanced when the normal state is recovered, and excessive interference of a single parameter on the whole process is avoided.

The invention discloses an intelligent production method of a corrosion-resistant pressing rivet nut in the technical field of information, which comprises the following steps: carrying out surface treatment on the pressing rivet nut subjected to heat treatment, selecting a zinc plating or nickel plating process according to the corrosion resistance requirement of a product, and obtaining a uniform and compact plating layer by controlling the parameters of the temperature and the concentration of a plating solution and the electroplating time, the plating layer quality is detected by adopting a plating layer thickness meter and an adhesive force tester, the pre-plating treatment and post-plating treatment processes are optimized, and the protection performance and the appearance quality of the plating layer are improved; integrating a surface defect detection result with other performance indexes to serve as a comprehensive evaluation basis of product quality, establishing a correlation model of pressure riveting nut performance detection data and material attributes, a heat treatment process and a surface treatment process, mining an influence rule of each element on the product performance by adopting a correlation rule mining and time sequence prediction method, and determining the quality of the product. And predicting product performance distribution under different production parameter combinations.

Provided is a coating die enabling coating of two layers of coating films stably. The coating die includes: a first block including a first manifold to receive a first coating liquid; a second block including a second manifold to receive a second coating liquid; and a shim sandwiched between the first block and the second block.

The invention discloses a zinc coating shedding performance detection method and system, particularly relates to the technical field of metal surface treatment quality detection, and is used for solving the problems of high misjudgment rate and insufficient detection precision caused by coating surface pseudo defect interference in the existing method. The method comprises the following steps: synchronously acquiring a multispectral reflection image and three-dimensional morphology data of the surface of a zinc coating through an industrial vision imaging device, extracting grain boundary distribution information based on multispectral data, and identifying radial pseudo defects in combination with a curvature manifold geodesic line energy gradient direction of the three-dimensional morphology; and further performing micro-crack topology analysis and grain boundary spatial correlation verification on the candidate region, eliminating texture interference and grain boundary overlapping regions, and finally outputting a high-confidence fall-off defect detection result, so that the identification capability of real defects under a complex galvanized surface is remarkably improved, and the method is suitable for automatic detection requirements of a high-speed continuous production line.

The invention discloses an intelligent preparation and coating method for lithium battery electrode slurry in the technical field of information, which comprises the following steps: acquiring particle size distribution, specific surface area and chemical composition attribute parameters of a lithium battery electrode slurry raw material, and establishing a quantitative relation model among the slurry component proportion, rheological property and stability through an autonomous learning algorithm; adjusting the component proportion by adopting a dynamic optimization algorithm to obtain a slurry formula meeting a target attribute; feature extraction and classification are performed on the constructed data set, a decision tree algorithm is adopted to train and generate optimization rules and judgment logic of slurry preparation process parameters, a preparation process knowledge base is formed, and autonomous optimization of the process parameters is realized; aiming at the coating quality problem, slurry preparation process parameters are traced and analyzed, collaborative optimization of a slurry formula, a preparation process and coating parameters is realized through a human-computer interaction interface, and the production efficiency and the yield are improved while the electrode performance is ensured.

The invention discloses a thermal-sensitive paper coating quality image recognition method, system and device and a medium, and relates to the technical field of thermal-sensitive paper coating quality recognized.The method comprises the following steps that an image obtaining scene is established, and a light-transmitting image of to-be-detected thermal-sensitive paper is obtained based on the image obtaining scene and marked as a thermal-sensitive paper light-transmitting image; judging whether the distribution range of the gray values of all the pixel points in the detection gray-scale map is abnormal or not, and if yes, marking the detection gray-scale map as an initial abnormal gray-scale map; judging whether the middle area of the to-be-detected thermo-sensitive paper corresponding to the initial abnormal grey-scale map is sunken or not, and if not, sending out a coating abnormal signal of the to-be-detected thermo-sensitive paper; the method is used for solving the problems that the identification efficiency is low and the obtained overall thermal-sensitive paper coating qualification rate is inaccurate due to the fact that a dynamic color development instrument and a thermal printer are used for detecting the coating quality in an existing thermal-sensitive paper coating quality identification technology.

The invention discloses a high-bio-based PHA-acrylate emulsion paint as well as a preparation method and application thereof, and belongs to the technical field of water-based paints. The film former of the latex paint comprises 60% to 90% of polyhydroxyalkanoate (PHA) with a moderate crystallinity of 40% to 60%, and 10% to 40% of a specific bio-based acrylate copolymer with a Tg of not higher than 5 DEG C. According to the invention, a core-shell microstructure in which a rigid PHA phase is wrapped by a flexible acrylate phase is constructed through a key process including ultrasonic treatment. According to the structure, low-temperature film forming can be achieved without a VOC coalescing agent, the bio-based content of an obtained paint film is higher than 70%, the VOC content is lower than 0.5 g / L, the scrub resistance is larger than 7000 times, and the technical problem that high bio-based content and high performance of a PHA coating are difficult to achieve at the same time is solved.

The invention relates to the technical field of titanium anodes, and provides an automatic coating method of a titanium anode and related equipment, and the method comprises the following steps: obtaining a target coating area of the titanium anode, coating, carrying out data acquisition on the target coating area in the coating process to obtain real-time coating data, and calculating coating uniformity and thickness change conditions; evaluating the coating uniformity, and generating a coating quality evaluation result and a coating defect distribution condition; based on the coating quality evaluation result and the coating defect distribution condition, the thickness change condition is analyzed, and thickness optimization parameters are obtained; and generating a feedback atlas according to the thickness optimization parameters, and adjusting coating parameters of the automatic coating equipment based on the feedback atlas. Through application of automatic coating equipment, a sensor array, real-time data acquisition and a coating analysis model, the problems that when uniformity and thickness in the coating process are controlled, the coating quality is unstable, the coating thickness is not uniform, and coating parameters are difficult to monitor and adjust in real time are solved.

The invention provides a photosensitive resin composition containing a photobleaching aminomethyl anthracene photosensitizer and application thereof.The structural main body anthracene ring of the photosensitizer introduces an aminomethyl functional group to the 9th and / or 10th site: through introduction of the aminomethyl functional group, while the electron cloud density of polycyclic aromatic hydrocarbon is maintained, the maximum absorption wavelength is subjected to red shift, and the photosensitive resin composition is especially suitable for a 405nm illumination system; the initiation efficiency is obviously improved; the exposure energy is reduced; compared with an existing DBA type photoinitiator, the problem of alkoxy carbon-oxygen bond breakage caused by p-pi conjugation of DBA is avoided, generation of small molecule fragments is effectively inhibited, defects are reduced, and the yield is increased. In addition, compared with DPHA and DAcOA, the photosensitizer also shows better solubility and formula compatibility. The preparation method has the characteristics of simple preparation process and low cost, and can be widely applied to the photocuring fields of dry films, paints, coatings, printing inks, forming materials and the like.

The invention discloses a composite polycrystalline positive electrode material which is prepared by permeating and coating a polycrystalline positive electrode material with an oxyhalide solid electrolyte, and the oxyhalide solid electrolyte comprises one or more of Li-Ta-O-Cl, Li-Nb-O-Cl, Li-Zr-O-Cl and Li-Al-O-Cl. The specific oxyhalide electrolyte is adopted to carry out permeation coating on the polycrystalline positive electrode material, uniform coating on the surface of the polycrystalline positive electrode material and grain boundaries in particles is completed, capacity utilization in the particles of the polycrystalline positive electrode material is achieved, and the capacity utilization rate of the particles of the polycrystalline positive electrode material is improved through the coating effect of the oxyhalide with high ionic conductivity. Ion transmission inside and in gaps of the polycrystalline positive electrode material particles is regulated, interface impedance is reduced, energy density is improved, and the application prospect is wide.

To provide a method for easily and inexpensively coating a floor surface, a wall surface or the like of a building, an exterior or the like with a marble-like pattern having a good finish.SOLUTION: The method includes a step of stretching floss, a step of fixing the stretched floss to a frame body, a step of applying a coating material to the back side of the floss fixed to the frame body, a step of bringing the front side of the floss coated with the coating material into contact with a coating surface, and a step of pressing the floss brought into contact with the coating surface from the back side with a sponge to transfer the coating material.SELECTED DRAWING: Figure 2

The invention discloses a container coating thickness online detection system and method, and the system comprises a non-contact thickness measurement unit which is used for transmitting modulation light to the surface of a container in real time according to the infrared light thermal modulation principle to excite a coating to generate a thermal wave signal, and determining the coating thickness through detecting the thermal wave reflection delay; the multi-mode executing mechanism is used for selecting a robot or a truss to carry the thickness measuring unit according to the specification of the container, and receiving a control instruction to drive the thickness measuring unit to move to a target detection point of the container according to a preset path; the three-dimensional positioning system is used for detecting the position deviation of the container entering the measuring station and feeding back the space coordinates of the container to the control system; and the control system is used for generating a motion path instruction according to the size of the container and a preset sampling rule, and receiving the coating thickness data of the thickness gauge in real time to generate a detection report, so that the precision, intelligence and high efficiency of container coating detection are realized.

The invention discloses a PHA / PVA nano-scale paper-based barrier emulsion as well as a preparation method and application thereof. The water-based emulsion comprises PHA particles with the average particle size ranging from 100 nanometers to 300 nanometers and PVA, the PHA and the PVA are blended according to a specific proportion, and the PVA serves as a main film forming component and a barrier property contribution component and is blended with the PHA to form the nano-emulsion. The preparation method comprises the following steps: mixing PHA particles with an initial average particle size of 1-100 microns with a PVA aqueous solution, and carrying out high-pressure homogenization and other nanocrystallization means to obtain the nano-emulsion. The emulsion can be coated on the surfaces of paper-based materials such as paper and paperboards, and a barrier coating is formed after the emulsion is dried. The obtained emulsion is small in particle size, good in stability and good in leveling property, a uniform and compact barrier film is easily formed on a paper base, the film has excellent water vapor, oxygen and grease barrier performance, and the material is bio-based, biodegradable and environmentally friendly.

The invention relates to the technical field of formula parameter optimization, in particular to a battery diaphragm coating agent formula optimization and process parameter self-correction method and system, and the method comprises the following steps: an obtaining step: obtaining historical data of coating agent production; acquiring performance index data of a plurality of coating agent formulas; a processing step: establishing a prediction model of the coating agent formula and the product performance based on the historical data; screening out an optimized formula combination according to the performance index data; based on the prediction model, predicting coating performance indexes under different process parameters; an output step: generating an optimized coating agent formula; according to the method, the self-correcting process parameters are output, and a large number of formula combinations can be rapidly evaluated in a virtual environment by establishing a prediction model of the coating agent formula and the product performance, so that the number of actual tests is greatly reduced. Not only are time and cost saved, but also the influence on the environment is reduced.

The invention discloses a differentiated precise current distribution control method in a multi-workpiece batch electroplating process. The method comprises the following steps: acquiring multi-workpiece feature data and preprocessing the multi-workpiece feature data; workpiece difference characteristic analysis and grouping are carried out; modeling and analyzing the electric field distribution of the electrolytic cell; plating layer growth dynamic monitoring and prediction are carried out; and generating a differential current distribution strategy. A multi-frequency differential resistance spectrum acquisition system is adopted to realize real-time monitoring of plating layer growth, an improved independent component analysis algorithm fused with spatial constraint is applied to perform workpiece group resistance spectrum decoupling, and micro-area accurate current modulation is realized through a self-adaptive waveform library of an electric field distortion area. The problems that dynamic characteristics of plating layers are difficult to monitor and differentiation control of workpieces with similar characteristics is insufficient in multi-workpiece electroplating are solved, and the quality consistency of the plating layers is improved.

The present invention relates to the technical field of water-based coatings, and specifically to a PHA water-based coating, a preparation method and application thereof. The PHA water-based coating comprises the following raw materials: a PHA water-based dispersion, an emulsifier, a thickener, a film-forming aid and a leveling agent; wherein the PHA water-based dispersion is obtained by a PHA fermentation broth through a wall-breaking treatment. The present invention directly prepares the PHA water-based coating by using the PHA water-based dispersion obtained by fermentation and wall-breaking treatment upstream, and can prepare a PHA water-based coating that is not easy to settle, has good storage stability, is uniformly dispersed and has a small particle size.

The invention discloses a lithium battery diaphragm with a gradient pore structure and a preparation method thereof, the lithium battery diaphragm with the gradient pore structure is of a layered structure, the layered structure comprises a base membrane, a first coating and a second coating, the first coating and the second coating are located on the same side of the base membrane, the first coating is connected with one side of the base membrane, and the second coating is connected with the other side of the base membrane. The second coating is connected with the first coating, the porosity of the first coating is 40-50%, the porosity of the second coating is 30-40%, the first coating comprises large-aperture porous alumina, and the second coating comprises small-aperture porous alumina. A double-layer structural design is adopted, and the two coatings have different pore diameters, so that a gradient pore diameter structure is formed. The structure can realize gradual adaptation of ions in the charging and discharging process of the battery and reduce migration energy obstacles.

A coating composition comprises: a fluoro-aliphatic group-containing copolymer comprising a repeating unit A corresponding to a fluoro-aliphatic group-containing monomer, and a repeating unit B corresponding to at least one monomer, wherein each of the I / O values of said at least one monomer constituting the repeating unit B is 1.0 or less.

The invention belongs to the technical field of film quality analysis and evaluation, and particularly relates to a flexible circuit board film pressing quality detection and analysis method and system. The method comprises the steps of generating a self-adaptive scanning path based on a design file and surface deformation data; performing multi-modal data acquisition and fusion along a path through optical surface scanning, ultrasonic tomography and an optical coherence tomography imaging assembly; potential defects are positioned, and size, shape, position and defect type probability values are quantized; judging the authenticity of the defect by adopting a three-stage mechanism of cross-modal probability comparison, physical characteristic logic verification and multi-frame time sequence verification; and performing weighted scoring on the real defect matching acceptance standard table, and performing disqualification marking or outputting a process optimization suggestion to the pressing equipment according to a scoring result. According to the invention, the imaging limitation of the transparent coating layer is broken through, the internal interface layering and the precise detection of the microbubbles are realized, and the closed-loop control from detection to production adjustment is formed.

The present invention relates to the technical field of paint production, and specifically to a raw material stirring device and stirring process for paint coating production, including a processing cylinder, the bottom of which is provided with a plurality of supporting legs, the top of which is provided with a mixing trough, and one side of which is provided with a discharge port; a stirring assembly, which is arranged inside the mixing trough and is used to stir the raw materials; and a quantitative feeding assembly, which is arranged above the processing cylinder. Compared with the prior art, the present application ensures smooth material discharge by providing a quantitative feeding assembly, and the entire assembly has a compact structure and stable operation, and has the advantages of efficient anti-blocking, precise material discharge, and adaptability to the characteristics of various raw materials, which greatly improves the production efficiency and the applicability of the equipment.