48 results about "Surface conditions" patented technology

The invention discloses a light guide plate film covering method, device and equipment, and the method comprises the steps: responding to the detected size, material and surface condition of a light guide plate, and judging whether the light guide plate meets a film covering standard or not; commanding the robot to grab the membrane material, accurately positioning the alignment operation of the light guide plate and the membrane material through a visual guidance system, and adjusting the fitting position; controlling the membrane material to be preliminarily attached to the light guide plate, and adjusting pressure and adsorption force in real time according to material characteristics; analyzing data of the visual detection system, commanding the intelligent fluid dynamics control device to process bubbles or wrinkles, and meanwhile, re-scanning the processed area to ensure that the defoaming effect is qualified; and controlling the curing time, the curing temperature or the UV light intensity according to the used curing mode. According to the technical scheme, the laminating quality is improved, and bubbles and flaws are reduced.

The invention relates to the technical field of multi-sensor fusion, in particular to a detection method and system for silicon steel magnesium oxide adhesiveness. Particulate matter matching analysis is carried out based on the corresponding magnesium oxide coating particle condition and the silicon steel surface condition; the particle bonding effect is evaluated based on the particle matching analysis result and the fluidity condition of the coating in the scene, and the magnesium oxide adhesion quality is predicted based on the evaluation result of the particle bonding effect and the shaking condition of the equipment in the coating process. The characteristics of the coating, the surface condition of the silicon steel, the coating environment, dynamic factors in the coating process and the like are comprehensively considered, the adhesiveness of magnesium oxide is evaluated and analyzed from multiple dimensions, and the multi-dimensional analysis method provides a more scientific and more accurate evaluation means for the silicon steel coating technology.

According to some embodiments, a method includes accessing track geometry data for a railroad track. The track geometry data includes historical measurements for a plurality of types of surface conditions of the railroad track over a period of time. The method further includes determining, by analyzing the track geometry data for a particular type of surface condition, a plurality of measurements that exceed a predetermined value. The method further includes identifying, by clustering the plurality of measurements that exceed the predetermined value, a particular track location on the railroad track as a progressive defect location. The method further includes determining, using a remaining useful life model and the track geometry data for the particular type of surface condition at the progressive defect location, a future time when the particular type of surface condition at the progressive defect location will exceed a predetermined limit.

The invention relates to the field of solid analysis, in particular to a diamond polishing and grinding online detection system which comprises the following steps: firstly, synchronously acquiring optical sensing data and thermal sensing data of the surface of a to-be-detected diamond; then, processing the acquired sensing data to detect and identify various physical characteristics of the surface, including a surface defect state, thermally induced anomaly distribution and self-calibrated surface roughness, and tracking an evolution trend of related characteristics, so as to generate a preliminary multi-dimensional characteristic analysis result; and finally, generating a comprehensive diamond defect surface physical property online evaluation report by integrating various analysis results. The method mainly solves the problems that the multi-dimensional physical characteristics of the surface of the diamond are difficult to evaluate in real time, accurately and comprehensively and the change of the surface state is difficult to respond quickly by a traditional detection means, and aims at comprehensively evaluating the surface quality of the diamond through automatic online analysis and providing a basis for guaranteeing the quality of a final product and optimizing a grinding process.

The invention discloses a paint surface condition detection and grinding and polishing robot path planning method for a paint layer on the surface of special equipment, which comprises the following steps: processing point cloud data obtained by a three-dimensional structured light camera to obtain spatial position characteristics of a workpiece, calculating a processing path required by a robot for grinding operation, and analyzing the cutting amount of a grinding head to obtain a processing path of the workpiece; path parameters are optimized, so that a more uniform surface removal rate is obtained; a deep learning method is adopted to detect and analyze a robot grinding and polishing operation result, a mixed layer thickness estimation algorithm is designed based on visual features of a workpiece before and after grinding machining, a grinding and polishing paint surface data set is marked based on the algorithm, and path optimization is performed based on the marking result; and the feedback quantity of paint surface change is obtained through a path planning algorithm, the path is planned again, the robot carries out targeted grinding machining based on the path, and a closed loop of the whole system is achieved.

To enable high-precision visual inspection. [Solution] The appearance inspection device 1 comprises a first illumination unit 11 that illuminates the surface of the object to be inspected W, an imaging unit 13 that images the surface of the object to be inspected W illuminated by the first illumination unit 11, and an inspection unit (control unit 21) that inspects the surface condition of the object to be inspected W based on the image captured by the imaging unit 13. The first illumination unit 11 includes a light source 112 surrounding the central axis WA of the object to be inspected W, the normal A of the light-emitting surface 112a of the light source 112 is perpendicular to the central axis WA or within 45 degrees, and the length T of the light source 112 in the direction along the central axis WA is greater than or equal to the radius r of the light source 112 surrounding the central axis WA.

The invention discloses a porous structure design method based on a deformed three-period minimal curved surface and a porous structure. The design method comprises the following steps: designing a basic equation of a deformed three-period minimal curved surface in a three-dimensional space; designing a curved surface function of the Schwarz P curved surface by introducing periodic conditions and symmetry analysis; the curved surface function is substituted into the basic equation, then the gradient and the divergence of the gradient are calculated to determine the minimum curved surface condition, and finally the implicit equation of the Schwarz P curved surface is obtained according to the minimum curved surface condition; designing a control parameter containing at least two coordinate axis variables to replace a shape factor parameter in the implicit equation, and adjusting the control parameter according to a unidirectional gradient or a cyclic gradient; and designing hole units of the deformed three-period minimal curved surface to construct a porous structure. The anisotropy of the porous structure can be changed by adjusting control parameters according to needs, isotropy can be constructed, the weak part of the porous structure is increased, the wall thickness is increased, and the problem that the anisotropy of the porous structure is prone to fracture or failure is solved.

The invention discloses a tunnel surrounding rock deformation prediction method based on a geological strength index and a seismic wave method, and the method comprises the following steps: S1, collecting tunnel data at a measurement point, and obtaining the surrounding rock section data of the measurement point; s2, selecting a representative rock surface at the measurement point, calculating a rock mass volume joint number and a structural surface condition factor, and determining a geological strength index value of the measurement point by using the rock mass volume joint number and the structural surface condition factor; s3, establishing a first relation model based on the surrounding rock section and the geological strength index value, wherein the first relation model is used for predicting the geological strength index value of the target point; s4, obtaining the longitudinal wave velocity and the uniaxial compressive strength of the measurement point through the tunnel data, establishing a second relation model based on the longitudinal wave velocity and the uniaxial compressive strength of the measurement point, and predicting the uniaxial compressive strength by the second relation model; and S5, generating the rock mass deformation modulus of the target point based on the predicted uniaxial compressive strength and the geological strength index value of the target point. The problem that the traditional method cannot predict in advance is solved.

The processability of the workpiece based on the processing conditions is accurately determined before processing, without being affected by the surface condition, thereby reducing processing defects. [Solution] The processing system includes a laser processing device capable of performing a processing step in which laser light is irradiated onto a workpiece under processing irradiation conditions to perform processing, and a workability judgment step in which laser light is irradiated onto the workpiece under judgment irradiation conditions that are different from the processing irradiation conditions; an imaging device capable of imaging the workpiece; a surface judgment device that judges the surface condition of the workpiece based on image information obtained by imaging the workpiece with the imaging device and determines the irradiation position of the laser light in the workability judgment step based on the judgment result of the surface condition of the workpiece; and a workability judgment device that judges the workpiece's workability based on light generated by the laser processing device irradiating the irradiation position of the workpiece with laser light under judgment irradiation conditions in the workability judgment step.

According to some embodiments, a method includes accessing track geometry data for a railroad track. The track geometry data includes historical measurements for a plurality of types of surface conditions of the railroad track over a period of time. The method further includes determining, by analyzing the track geometry data for a particular type of surface condition, a plurality of measurements that exceed a predetermined value. The method further includes identifying, by clustering the plurality of measurements that exceed the predetermined value, a particular track location on the railroad track as a progressive defect location. The method further includes determining, using a remaining useful life model and the track geometry data for the particular type of surface condition at the progressive defect location, a future time when the particular type of surface condition at the progressive defect location will exceed a predetermined limit.

A method for verifying a metal part obtained by additive manufacturing, the method comprising processing (106), by a neural network, data representative of the surface condition of the metal part, the processing producing a result indicating whether the porosity of the metal part is greater or less than a predefined threshold. Figure for the abstract: Fig. 2

The invention discloses a defect detection method and system for a sculpture product based on image recognition, and relates to the technical field of defect detection, and the method comprises the steps: determining a plurality of abnormal features according to the detection of a three-dimensional model of the sculpture product; determining a corresponding abnormal review area according to the feature positions of the plurality of abnormal features and the corresponding curved surface forms, triggering secondary review of the sculpture product based on the abnormal review area, and collecting a secondary review image, and the defect content of the sculpture product is determined based on the secondary review image, the surface condition of the abnormal review area and the corresponding area grade, so that the accuracy of the defect content of the sculpture product is improved. Therefore, a defect maintenance event is determined according to the abnormal sculpture event and a database of sculpture products; meanwhile, the current posture of the sculpture product is collected, the dynamic maintenance event of the sculpture product is determined based on the current posture of the sculpture product, the corresponding overall form and the defect maintenance event, and the accuracy of the dynamic maintenance event of the sculpture product is improved.

The application provides a control method, device, equipment, medium and product of a CMP device, control parameters of a trimming arm and a grinding disc in the CMP device are determined, and the non-uniform swinging of the trimming arm is coupled with the rotation and translation motion of the grinding disc based on the control parameters, so that the trimming head forms a complex composite motion track on the grinding disc, ensures that the trimming head can cover every area of the surface of the grinding disc, effectively eliminates the trimming blind area and excessive trimming area of the polishing pad carried on the grinding disc during trimming, provides a highly consistent surface condition for subsequent polishing process of a wafer, and improves the global planarization effect of wafer processing.

The present invention discloses a plate detection device, including a detection group, which includes two detection components. A plurality of displacement sensors are provided in the two detection components, and the displacement sensors in different detection components correspond to each other one by one. A gap is left between the two detection components to pass through the plate, and the displacement sensors in the two detection components are all facing the gap between the two detection components. In this plate detection device, the plate passes through the gap between the two detection components, and the detection components located on both sides of the plate obtain data through the measurement of the displacement sensors, and the surface condition and thickness of the plate can be obtained by calculating the data. When used in the detection of ceramic tile blanks, the problem of inaccurate measurement existing in traditional manual detection can be avoided, the labor cost can be reduced, and the ceramic tile blanks will not be damaged. The production quality of the ceramic tile blanks can be detected in real time and efficiently. This invention is used in the field of plate detection.

A computer system is disclosed for determining a difference in surface friction between a first set of surface conditions and a second set of surface conditions. The computer system has processing circuitry configured to receive first data corresponding to a first set of surface conditions, the first data comprising a first slip angle for at least one wheel of a vehicle, receive second data corresponding to a second set of surface conditions, the second data comprising a second slip angle for at least one wheel of a vehicle, compare the first slip angle and the second slip angle, and upon there being a difference between the first slip angle and the second slip angle, determine that a surface friction associated with the first set of surface conditions is different from a surface friction associated with the second set of surface conditions. A lateral acceleration of the vehicle associated with the first data is substantially the same as a lateral acceleration of the vehicle associated with the second data.

The present invention discloses a method for evaluating the durability of an anti-reflective surface subjected to laser irradiation, comprising the following steps: S1, selecting a batch of test samples with consistent surface conditions and material properties, and obtaining initial reflectivity data for each test sample using a reflectivity testing system; S2, irradiating each test sample using a laser irradiation experimental device while varying different test variables; S3, measuring the reflectivity data of the irradiated test sample after irradiation; S4, calculating the difference between the reflectivity data of the test sample after irradiation and the initial reflectivity data; and S5, comparing the reflectivity change difference with a set reflectivity threshold to quantitatively evaluate the impact of the reflectivity change on the durability of the test sample. The present invention quantitatively evaluates the durability of the sample through the change in reflectivity.

A method includes receiving a data set associated with a surface condition of a vehicle, determining, by an artificial intelligence system, a degree of occurrence of one or more defects on a surface of the vehicle, and updating a path followed by one or more robots based on the determination of the degree of occurrence of the one or more defects. The determination of the degree of occurrence of the one or more defects causes the one or more robots to initiate a remedial action to a targeted portion of the surface of the vehicle to resolve the occurrence of the one or more defects.

The invention relates to a process for treating a polycrystalline silicon carbide wafer, comprising: characterizing (R2) the surface condition of a front face of the polycrystalline silicon carbide wafer; when the characterized surface condition does not meet a predetermined specification for bonding (C) the polycrystalline silicon carbide wafer to a monocrystalline silicon carbide substrate with the front face at the bonding interface, correcting (R3), by removing material from the front face of the polycrystalline silicon carbide wafer, the surface condition of the front face. Figure for the abstract: Figure 1

The invention provides an aircraft hatch cover glass surface defect detection method and equipment, and relates to the technical fields of machine vision, Internet of Things and edge intelligent image processing, algorithm model and state estimation and the like. The problems that manual visual detection has high requirements for experience and skills of detection personnel, labor investment is high, visual fatigue is prone to occurring, false detection and missing detection are caused, efficiency is low, and improvement of flight safety and guarantee efficiency is restricted are mainly solved. The LED light source irradiates a specific part on the surface of the glass of the hatch cover, and light rays of the LED light source are transmitted in the glass of the hatch cover and modulated by various defects including surface structure defects to form a unique image. Light rays which can not be observed by human eyes are guided to the observation surface to be imaged by the prism, wherein the light rays are totally reflected and transmitted in the hatch cover glass. The machine vision unit collects an image reflecting the surface condition of the hatch cover glass on the prism observation surface and uploads the image to the handheld terminal through the Internet of Things technology. The handheld terminal and the embedded special APP are used for detecting types of defects (such as debonding, scratches, cracks, crazing and the like) on the surface of the glass of the hatch cover, quantitatively analyzing defect characteristics and automatically judging detection data, so that a detection conclusion is formed. The method is mainly applied to detection of airplane hatch cover glass surface defects and is suitable for detection of transparent material surface defects.

A control unit (10) is a device for detecting the condition of a floor surface (FL) on which a target (30) has been placed, and comprises a distance calculation unit (11) and a target detection unit (18). The distance calculation unit (11) calculates information about the distance to the target (30) according to the amount of reflection of the light emitted from a lighting device (21) toward the target (30). The target detection unit (18) detects the condition of a floor surface (FL) on which the target (30) has been placed, on the basis of the information about the distance acquired by the distance calculation unit (11).

The invention belongs to the technical field of welding seam detection, and relates to a welding seam size detection tool and method. The base serves as a basic structure of the whole detection tool, so that the measurement precision is prevented from being influenced by shaking or displacement. The linear sliding unit can drive the dial indicator connected with the linear sliding unit to slide in the linear direction, so that the dial indicator can move to different measurement positions of the weld joint according to needs, and the height dimensions of different parts of the weld joint are measured. And the welding component limiting unit is used for limiting and fixing the detected welding component. The three-dimensional adjustable connecting part allows the dial indicator to accurately adjust the measuring position and angle of the dial indicator according to the specific position and shape of the weld joint, so that the measuring head of the dial indicator can accurately contact the surface of the weld joint. According to the invention, aiming at the characteristics of complex structure, various molded surfaces and complex welding seam surface condition of a welding type assembly, through cooperative work of all parts, the difficulty faced by a traditional measuring tool in measuring the height size of a welding seam is effectively solved.

The present invention discloses a method for detecting the surface condition of a polishing pad online, which includes the steps of: moving an optical sensor above the polishing pad to obtain distance information between the optical sensor and the surface of the polishing pad; classifying the distribution state of liquid on the surface of the polishing pad based on the measured distance information, and calculating and obtaining the value of the groove depth on the surface of the polishing pad using different correction calculation formulas; and comparing the corrected groove depth value on the surface of the polishing pad with a preset threshold value to judge the groove depth state of the polishing pad and determine whether the polishing pad needs to be replaced. The present invention further discloses an online detection system for the surface condition of a polishing pad. The present invention relies on an optical sensor to non-contact measure the surface condition of the polishing pad online, thereby preventing the possibility of damage to the surface of the polishing pad caused by contact detection, and the online measurement can timely monitor the surface condition of the polishing pad, and accurately and efficiently realize the detection of the surface condition of the polishing pad, with stronger timeliness of detection and precise measurement.

The invention relates to a method for decorating a timepiece component (30), in particular a frame-type watch dial. The component (30) comprises at least two different visual appearances, each visual appearance being a unique combination of surface conditions and colors. The decoration method comprises the following steps: i) providing a component blank (10) comprising a first raw surface (10a); ii) applying a first end section (12) having a first surface state on the first raw surface (10a); iii) depositing one or more layers of atoms on the first end segment (12) to impart a first color (14) to the first end segment; iv) applying a second end section comprising at least one corner break on the blank in order to form at least one bevel or at least one chamfer (18) comprising a second raw surface (18a); v) implementing a second end section (20) on the second raw surface (18a) which imparts a second surface state, and vi) depositing a metal layer, preferably a rhodium or gold layer, on the second end section by electroplating, PVD or ALD in order to impart a second color (22) to the second end section.

The invention provides a surface state management device of an enameled wire and a manufacturing device of the enameled wire, which can easily estimate the reason of the abnormality of the enameled wire. A surface state management device (1) for an enameled wire is provided with a cause estimation processing unit (23) that estimates a cause using at least one of a conductor surface image (31) obtained by capturing an image of the surface of a conductor (11) before formation of an insulator (12) and an appearance image (32) obtained by capturing an image of the surface of the insulator (12) after formation of the insulator (12). The cause is estimated on the basis of the conductor surface image (31) and / or the appearance image (32) to be estimated, using a learning-completed model (34) created by performing machine learning in advance on the conductor surface image (31) and / or the appearance image (32) when an abnormality has occurred on the surface of the conductor (11) or the insulator (12), and the cause of the occurrence of the abnormality.

The invention discloses a workpiece surface quality detection method and device based on point cloud analysis, electronic equipment and a storage medium, and belongs to the field of workpiece quality detection.The method comprises the steps that three-dimensional point cloud data of a to-be-detected workpiece is acquired, and gridding processing is conducted on the three-dimensional point cloud data to generate a regular point cloud height image; and based on the regular point cloud height image, generating a basic morphology parameter group representing the morphology of the workpiece, a composite parameter group representing the microscopic geometric characteristics of the workpiece, a material volume parameter group reflecting the bearing characteristics of the surface of the workpiece, and a space parameter group describing the texture direction information of the surface of the workpiece. And inputting the four groups of parameters into a multi-dimensional weighted fusion model for comprehensive calculation, generating a surface quality comprehensive score capable of comprehensively reflecting the surface condition, and finally determining the quality grade of the workpiece according to the score. By implementing the method, the problem that the real condition of the workpiece surface cannot be accurately reflected in the prior art can be solved.

The present application is related to a method and system for online inspection of a surface condition of a polishing pad, the method for online inspection comprising the following steps: moving an optical sensor above the polishing pad to obtain a distance between the optical sensor and a surface of the polishing pad; analyzing the distribution of liquid on the surface of the polishing pad based on the measured distance, and calculating depths of grooves on the surface of the polishing pad using different modified calculation formulas; and comparing a modified depth of the grooves on the surface of the polishing pad with a predetermined threshold value, and determining whether the polishing pad needs to be replaced based on a depth condition of the grooves on the polishing pad.

The invention discloses a roughness measurement method based on BRDF, and the method is characterized in that the method comprises the following steps: S1, measuring BRDF data of a material; s2, establishing an optical model, and fitting the measured BRDF data to obtain a root mean square slope alpha; s3, establishing a relationship among alpha, Rq and PSD to obtain a root mean square roughness Rq; the PSD is a power spectral density function. According to the method, direct conversion from the BRDF data to the actual surface roughness Rq is achieved by measuring the BRDF data and through a series of mathematical operation and model derivation. Compared with the prior art, the method has higher measurement precision and efficiency, can also be applied to wider material types and surface conditions, can also realize real-time monitoring of the material roughness in a dynamic process, and has important significance for surface quality control of some materials needing to be continuously monitored.