255results about How to "Accurate correction" patented technology

The invention discloses a method for correcting data of abnormal reading of a pressure sensor, and relates to the technical field of sensor equipment. Comprising the following steps: acquiring sensor readings, constructing a multi-sensor cross validation mechanism, establishing an anomaly detection threshold model, performing anomaly detection based on a time sequence mode, constructing a physical constraint feedback mechanism, performing dynamic drift compensation, processing the acquired readings, and performing self-correction feedback optimization. According to the method for correcting the abnormal reading data of the pressure sensor, through a physical constraint feedback mechanism, the output of the sensor is compared with a theoretical physical model for verification, and the recognition capability of nonlinear abnormality is enhanced; through dynamic drift compensation, linear and exponential drifts generated in long-term use of the sensor are separated and corrected, and accurate correction of the drifts is realized. According to the method, the reliability and the stability of pressure sensor data can be remarkably improved, a more accurate measurement basis is provided for a precise measurement scene, and meanwhile, the risk of system misinformation and failure is reduced.

The invention provides an error correction method of a detection device. The error correction method comprises the following steps: selecting and configuring a sensor according to a physical quantity needing to be monitored; acquiring original data from a sensor, and preprocessing the original data; training by using the historical sensor data and a neural network model to obtain a trained neural network model; and performing error correction on the real-time data of the detection device based on the trained neural network model to output a correction result of the real-time data. According to the invention, error correction is carried out by using the neural network model, so that nonlinear errors and dynamic changes in real-time data output by the sensor can be simulated and corrected more accurately, and error characteristics under various environmental conditions can be adaptively realized. Therefore, the accuracy and reliability of the detection data output by the detection device comprising the sensor are improved, and the detection device can conform to an actual application scene.

The invention discloses a mixed forecasting method and system for snow-melting runoff, relates to the technical field of hydrological forecasting, and solves the technical problem of insufficient reliability of snow-melting runoff forecasting under complex terrain and meteorological conditions in the prior art. The method comprises the steps that a long-short-term memory network model, namely a DS-LSTM model, based on dynamic-static hybrid driving is constructed, training verification is conducted on the DS-LSTM model through a data set generated by research area data, and the DS-LSTM model captures the influence of early-stage meteorological elements on accumulated snow characteristics through long-period memory characteristics; describing the effect of a local static underlying surface on accumulated snow features through a multi-dimensional learning ability, replacing a snow accumulation and melting calculation module in a snow melting runoff model with a verified DS-LSTM model to obtain a snow melting runoff mixed forecasting model, and adopting the snow melting runoff mixed forecasting model to realize snow melting runoff mixed forecasting; according to the method, snow accumulation and melting calculation data of multi-factor dynamic correction can be provided for the snow melting runoff model.

The invention relates to the technical field of color correction, and discloses a publication printing color correction method and system based on deep learning, and the method achieves the precise correction and compensation of the color of a publication printed matter through a series of steps of cosine distance calculation, color-environment matching model, color deviation calculation, operation parameter adjustment and the like. The core of the method lies in that the accuracy of the printing color is effectively improved and the color quality of the printed matter is ensured to meet the expected standard through careful analysis and processing of the printing color by using the deep learning technology. The correction method provided by the invention has obvious advantages, not only can realize automatic color correction, reduce human intervention and improve the stability and consistency of correction, but also can optimize the operation parameters of the printing equipment, so that the printing equipment can keep a good working state in different printing environments, and the adaptability of the printing process is enhanced.

The invention provides a three-dimensional galvanometer correction method and laser processing equipment. The method comprises the steps of controlling a motion platform to move to a reference surface of a galvanometer assembly; determining a contour line of a circle with a preset value as a radius on a medium of the motion platform by taking the central point of the galvanometer assembly as a circle center; a plurality of first marking grids are marked on the contour line in the preset direction through laser, each first marking grid in each first marking grid corresponds to one deflection angle, and each first marking pattern corresponds to the position of one zoom lens; detecting each first marking grid based on a visual component so as to determine a first target position corresponding to the focal point of the laser from the positions of the zoom lens corresponding to the plurality of first marking patterns of each first marking grid; fitting the radius of the contour line and the first target positions corresponding to the plurality of first marking grids to obtain a first curve; and compensating the position of the zoom lens according to the first curve. By means of the method, the three-dimensional galvanometer can be accurately corrected.

The invention provides a water body image splicing method and device based on cooperation of an unmanned aerial vehicle and an unmanned ship, and belongs to the technical field of image processing, and the method comprises the steps: determining a first driving path of the unmanned ship based on a shooting region and a preset image splicing proportion, determining a second driving path and a plurality of shooting center points of the unmanned aerial vehicle based on the first driving path; calculating an image offset based on a plurality of water area images collected by the unmanned aerial vehicle at the plurality of shooting center points; the image offset is the offset between the position of the unmanned ship in the image and a plurality of shooting center points; and splicing the plurality of water area images based on the image offset. According to the water body image splicing method and device based on cooperation of the unmanned aerial vehicle and the unmanned ship provided by the invention, the problems that the images deviate and cannot be spliced when a large-area water area is monitored in the prior art can be solved.

The invention discloses a spatial matching method and system based on natural resource monitoring and demographic data, and the method comprises the steps: obtaining residential land and house building data in regional natural resource survey monitoring data, employing a spatial position and attribute matching technology, and combining a random forest algorithm to carry out the spatial matching of the residential land and the house building, thereby achieving the spatial matching of the residential land and the house building. Extracting residential building pattern spots and attribute information thereof; establishing attribute feature mapping between a residential building pattern spot level scale and an administrative division unit scale, and converting administrative division demographic data to residential building pattern spots by using a random forest hyper-parameter search method; further integrating multi-source data in the natural resource survey monitoring data, constructing a population geographic blot index taking a water area as a mask, and correcting the population of the residential building; and finally, calculating a population distribution fitting coefficient, iteratively correcting a population distribution error, and realizing spatial accurate matching of the residential building and population distribution through a partition adjustment strategy.

The invention provides a position prediction method and device based on an ultra wide band (UWB) digital key, and a position prediction system applied to the UWB digital key, the position prediction system comprises a UWB tag and a plurality of UWB anchor points arranged on a vehicle, and the position prediction method comprises the following steps: determining whether UWB positioning information of the UWB tag is invalid; when the UWB positioning information is invalid, acquiring a velocity vector and a historical track set of the UWB tag and orientation information of the vehicle; and inputting the velocity vector, the historical trajectory set and the orientation information into a position prediction calculation model to calculate a predicted position of the UWB tag. The technical problem that when an existing automobile digital key is blocked by an obstacle and the digital key cannot be connected to an automobile UWB anchor point, the function of the digital key is in a failure or invalid state, and the user experience is affected is solved.

The invention discloses a document proofreading processing method based on a large model. The document proofreading processing method comprises the following steps: step 1, preprocessing a document and identifying the document as a text; step 2, segmenting the text into independent text blocks; step 3, performing vectorization processing on the text blocks; step 4, performing retouching on the text block by using the random degree large model to obtain a new text block; step 5, performing vectorization processing on the new text block; 6, comparing the vector similarity of the text block and the new text block, if the similarity is high, entering the next step, and if the similarity is low, repeating the steps 4-6; 7, comparing the text of the text block with the text of the new text block, and marking difference characters in pairs; and 8, proofreading the text blocks and the new text blocks according to the document, and integrating and outputting the text blocks and the new text blocks. According to the method, more accurate and comprehensive document proofreading service can be provided, dynamic change of languages and diversified document requirements can be met, and the specialty and credibility of documents are remarkably improved.

The invention relates to an image processing method suitable for a variable-size TFT display screen, and the method comprises the following steps: obtaining the size and range of a display region of the TFT display screen in real time, and obtaining the position coordinate range of an edge region of an optical alignment film; detecting the pixel brightness in the coordinate range of the corresponding position of the edge area of the optical alignment film by adopting an image processing method; calculating to obtain compensation curve correction parameters by combining factors influencing the brightness distribution of the edge area; correcting the pixel brightness of the edge area of the optical alignment film by adopting the compensated brightness distribution curve; after the pixel brightness compensation of the edge area is completed, obtaining a change value of the display contrast before and after the compensation; and the compensation curve parameters of the edge region are adjusted in real time by analyzing the relationship between the change value of the display contrast and the pixel brightness compensation intensity. The brightness uniformity of the edge area of the TFT display screen can be effectively improved, the overall display quality is improved, the requirements of display screens of different sizes can be met, and high practicability and adaptability are achieved.

The invention relates to the technical field of image processing, and provides a high-precision image splicing and correcting method based on a multi-view camera, and the method comprises the steps: recognizing a potential distortion region in an image according to a plurality of view images, and outputting the distortion region; detail features of the distortion areas are extracted, the distortion type of each distortion area is derived by combining geometric consistency of adjacent areas, and local correction parameters are generated; performing accurate correction on each pixel by adopting self-adaptive nonlinear transformation and combining a mapping relation between a pixel position and a distortion degree, and obtaining an image after distortion correction; and after image splicing is carried out on the images after distortion correction, the transition effect of the edge is optimized by combining a multi-scale region fusion technology. According to the invention, the visual unnatural phenomenon at the seam can be eliminated, and the precision and visual experience of the whole image splicing are improved.

The invention relates to the technical field of flood prediction, in particular to a non-consistent regional flood frequency analysis method based on the Bayesian theory. The method comprises the following steps: acquiring flood sequence data, meteorological data and drainage basin characteristic data of hydrological stations in a drainage basin; performing regional flood dynamic change analysis on the flood sequence data and the meteorological data to generate regional flood time sequence dynamic change data; on the basis of the regional flood time sequence dynamic change data, hydrological station flood characteristic parameters in the drainage basin are extracted from the drainage basin characteristic data, and hydrological station flood characteristic parameters in the region are obtained; and performing flood distribution parameter regression coefficient prior information derivation on the flood characteristic parameters of the hydrological stations in the region to obtain a maximum likelihood estimation value of a single hydrological station distribution parameter. According to the method, the Bayesian theory, the spatial correlation analysis and the spectral analysis are introduced, so that the accuracy and the applicability of flood frequency analysis based on the Bayesian theory are improved.

The invention discloses a dynamic correction method and system for a power curve of a wind power plant, and the method achieves the precise dynamic correction of the power curve through the multi-dimensional real-time data collection and edge calculation preprocessing in combination with a deep learning algorithm and a reinforcement learning algorithm, greatly improves the accuracy and real-time performance of power prediction, and improves the accuracy and real-time performance of power prediction. The introduction of a digital twin system enhances the reliability of an optimization strategy, the block chain technology ensures the credibility and traceability of data, the federal element learning framework realizes cross-scene knowledge migration, the generalization ability and adaptability of the model are improved, the comprehensive optimization scheme significantly improves the power generation efficiency of the wind power plant, and the power generation efficiency of the wind power plant is improved. The equipment failure rate and the operation and maintenance cost are reduced, and the service life of the fan is prolonged; meanwhile, due to the self-adaptability and expandability of the system, the system can adapt to wind power plants of different geographic positions and scales, powerful technical support is provided for intelligent and efficient development of the wind power industry, and wider application of renewable energy sources is promoted.

The invention relates to the technical field of arc-shaped screens, and discloses a 3D game scene adaptation method and device based on an arc-shaped screen, and the method comprises the steps: carrying out the three-dimensional coordinate sampling of the surface of the arc-shaped screen, constructing an arc-shaped screen space model, and carrying out the dynamic tracking in a 3D game scene according to the arc-shaped screen space model, and obtaining scene mapping data; performing spatial distortion vector construction and compensation transformation analysis based on the scene mapping data to obtain target scene data; constructing a control grid node by using the curved surface feature tensor, applying a deformation constraint condition to the control grid node, and solving a deformation energy equation to obtain scene deformation control data; the rendering control instruction is created based on the scene deformation control data, and scene state acquisition and space adaptation calculation are executed according to the rendering control instruction to obtain the scene display data, so that accurate correction of scene display is realized, the image quality is remarkably improved, and the stability and continuity of scene display are ensured.

The invention discloses a temperature compensation method for ultrapure water conductivity measurement and a measurement control system, belongs to the technical field of water quality monitoring and control, and solves the problem of inaccurate measurement of the ultrapure water conductivity under a high-temperature condition. A theoretical model and actual test data are creatively fused, and a compensation coefficient which more accurately reflects the change of the ultrapure water conductivity along with the temperature is obtained through fitting; compared with a traditional temperature compensation method, the method provided by the invention considers the special property of ultrapure water, that is, the influence of the self-ionization phenomenon of water at high temperature on the conductivity is obviously enhanced, so that the conductivity measurement deviation caused by temperature rise can be more accurately corrected; even under the condition of slight fluctuation of water quality components, the compensation accuracy can be ensured, and the reliability of a measurement result is greatly improved.

The embodiment of the invention provides a text error correction method, a text error correction device, electronic equipment and a medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: inputting a target text into a text error detection model for text error detection to obtain text marking data, wherein the text marking data is used for marking correct characters and error characters in text characters; inputting the target text into a text error correction model based on the text marking data; extracting text character and pronunciation features of the text characters based on a character and pronunciation feature extraction sub-model; extracting text font features based on the font feature extraction sub-model, wherein the text font features comprise first mask features of error characters; extracting text semantic features based on the semantic feature extraction sub-model, wherein the text font features comprise second mask features of error characters; and performing text prediction on the text character pronunciation features, the text font features and the text semantic features based on the error correction sub-model to obtain a target error correction text. According to the embodiment of the invention, the error correction accuracy of the text can be improved.

The present application discloses a data transmission method and device, which can improve the accuracy of data transmission. The method includes: receiving an indication information for indicating quasi-co-location information of a control channel or a data channel, and the quasi-co-location information indicates that the control channel or the data channel has a quasi-co-location relationship with multiple reference signals. Doppler frequency deviation estimation is performed based on the quasi-co-location information between the multiple reference signals to obtain a comprehensive Doppler frequency deviation estimation result, and the control channel or the data channel from multiple network devices is demodulated based on the comprehensive Doppler frequency deviation estimation result. By associating the quasi-co-location information with multiple reference signals, that is, the data channel or the control channel has a quasi-co-location relationship with the multiple reference signals, the terminal device can estimate more accurate channel information and Doppler frequency deviation based on the multiple reference signals in the presence of multipath signals, thereby improving the accuracy of channel estimation.

The invention belongs to the technical field of laser welding, and particularly relates to a window frame shape righting method for an automobile door laser welding process. Three shape righting units are arranged on a window frame part of a door assembly pressing station; the vehicle door assembly is placed on a vehicle door assembly pressing station, so that the vehicle door assembly is aligned with the tire mold; the vehicle door inner plate is fixed, and then the window frame area is finely adjusted to be located between a supporting block and a pressing block of the shape correcting unit; throttle valves and pressure gauges are arranged on air source connecting pipes of the jacking air cylinder and the pressing air cylinder, when the pressure gauges on the jacking air cylinder and the pressing air cylinder display preset pressure values, the pressure is maintained, and the jacking air cylinder and the pressing air cylinder are controlled to release the pressure gradually; detecting the shape righting effect of the window frame area by using a high-precision tool until the shape righting requirement of the window frame is met; according to the method, the window frame part subjected to laser welding can be effectively corrected in an overpressure and pressure maintaining mode, and deformation caused by welding is eliminated.

The invention discloses an operation and maintenance question and answer data processing method and system based on a large language model. The method comprises the steps of obtaining operation and maintenance question data and user parameters of a target operation and maintenance user; inputting the operation and maintenance question into a trained large language model to obtain direct answer data and reference data corresponding to the operation and maintenance question; according to the user parameter and the reference data, based on a neural network algorithm, predicting an answer fine tuning parameter; inputting the answer fine tuning parameter and the direct answer data into the large language model to obtain corrected answer data; the correction answer data is used for being sent to the terminal of the target operation and maintenance user to be displayed. Therefore, the operation and maintenance question and answer service can be provided for the operation and maintenance user more accurately and efficiently, the efficiency and the convenience degree of operation and maintenance work are improved, and the operation and maintenance cost and operation and maintenance errors are reduced.

The system and technology realize supply chain visualization. As an item moves in the supply chain, data about the item may be obtained, where the data includes event data that identifies a particular item at a particular location in the supply chain at a particular time. As at least a portion of the item moves in the supply chain, the data may be analyzed to generate information. A visualization of the information may be provided, and the visualization may be used to identify one or more changes to be made in at least a portion of the supply chain to improve the at least a portion of the supply chain.

The invention provides an image distortion correction method and device, electronic equipment and a storage medium. The image distortion correction method comprises the following steps: acquiring a first image of a calibration board shot by a camera; for each preset feature point, determining a current feature point in the first image corresponding to the preset feature point, the preset feature point being based on a position relationship between the camera and the calibration plate when the camera shoots the first image, and mapping the feature point on the calibration plate to the feature point in the image shot by the camera; according to a preset feature point and a predicted feature point, determining a numerical value of a distortion parameter of the camera, the predicted feature point being represented by a current feature point in the first image and the distortion parameter of an undetermined numerical value of the camera; and correcting the first image by using the distortion parameter with the determined numerical value of the camera to obtain a second image. According to the scheme, distortion correction can be accurately carried out on the image shot by the camera.

The invention belongs to the technical field of eddy current nondestructive testing, and discloses a variable-diameter pipeline pulsed eddy current testing device which comprises a main body support and a lift-off and testing structure, the main body support comprises a support left arm and a support right arm, the upper end of the main body support is connected with two variable-diameter guide frames, and the tail ends of the variable-diameter guide frames are inserted into the lift-off and testing structure. The lift-off and detection structure comprises a lift-off box, the lift-off box is connected with the body support, a lift-off motor is arranged on the upper portion of the lift-off box, the lift-off motor penetrates into a lift-off rod and is connected with the lift-off box, the terminal of the lift-off rod is connected with a probe box, an excitation coil and a detection coil are placed in the probe box, a wheel support is arranged at the tail end of the body support, and a magnetic wheel is connected to the tail end of the wheel support. The left side of the magnetic wheel is connected with an encoder, and the right side is connected with a driving motor. Corrosion defects of pipelines with different pipe diameters can be detected in real time, personal errors caused by manually moving the probe are reduced, and the detection accuracy is improved.

The invention discloses an oil sunflower field precise fertilization control system based on an unmanned aerial vehicle hyperspectral technology, and relates to the technical field of fertilization control. The system carries out precise region division on an oil sunflower field by utilizing a GIS technology through fusion of multi-source data such as hyperspectral data, soil humidity and temperature; and accurate fertilization can be carried out in different management areas according to soil characteristics and crop requirements. The differentiated fertilization strategy can reduce excessive fertilization and fertilizer waste and optimize the utilization efficiency of the fertilizer. The crop growth model is established through the deep learning technology, and the system can accurately calculate the required fertilization amount according to the specific growth conditions and historical data of each region, so that the growth conditions of the oil sunflowers are optimized, and the overall yield of crops is improved. The problem that a traditional fertilization system is difficult to effectively deal with soil and environment differences in different areas is solved. Through a hyperspectral technology and multi-source data acquired by a sensor, the system can realize accurate fertilization according to environmental differences in a field.

The invention relates to the technical field of workpiece production data processing, in particular to a production data processing method and system based on a data medium table, and the method comprises the steps: installing r * c pressure sensors in a die to collect the pressure data of a plurality of positions in the die; performing first curve fitting on pressure data acquired by the pressure sensor in a local range to obtain a first curve, calculating simulated pressure data by adopting an interpolation method, and performing second curve fitting in the local range to obtain a second curve; calculating the original noise expression degree according to the pressure data collected by the same pressure sensor, and calculating the corrected noise expression degree according to the pressure data collected by the adjacent sensors at the same moment and the original noise expression degree; and according to the modified noise expression degree, screening to obtain the pressure data to be filtered and filtering the pressure data to be filtered. The technical problem that in the prior art, when a die is used for workpiece production, the data processing efficiency is low is solved.

The present invention discloses a fully automatic lake positioning method and system for domestic optical remote sensing satellite images, including collecting publicly published time series lake data sets or self-built time series lake data sets to construct a lake image base database; calculating the lake area of ​​the remote sensing image to be corrected; searching the base database for an image whose lake area is closest to the lake area of ​​the image to be corrected as a reference image, and resampling its spatial resolution to be consistent with the image to be corrected; converting the reference image to the coordinate system of the lake image to be corrected, moving the lake image to be corrected with the reference image as the reference, selecting the translation parameters corresponding to the maximum overlapping area as the correction parameters for image correction, and realizing lake positioning. The present invention uses a method that matches the historical water body range to correct images, does not need to use ground control points, can automatically and accurately correct images, and has a prospect for commercial promotion.

The utility model discloses a pipe ellipse correcting device which comprises a vacuum box and two correcting parts, one end of the vacuum box is provided with an inlet suitable for entering of pipes, and the other end of the vacuum box is provided with an outlet suitable for exiting of the pipes. The correction parts comprise shaping boxes, and the shaping boxes of the two correction parts are symmetrically mounted outside the two sides of one end of the vacuum box and are arranged close to the inlet; the shaping rolling wheel is arranged in the vacuum box; the guide rods are arranged in the corresponding shaping boxes, and one ends of the guide rods are connected with the corresponding shaping rollers; and the transmission mechanisms are installed in the corresponding shaping boxes, the transmission mechanisms are connected with the other ends of the corresponding guide rods, and the transmission mechanisms are suitable for driving the corresponding shaping rollers to move in the vacuum box through the guide rods. The ellipse correction device can realize ellipse correction in pipe production, is convenient to operate, and improves the product quality.

The invention relates to a charging tray type automatic feeding device based on an AGV. The upper platform is arranged above the machine table, the material receiving opening is formed in the middle of the upper platform, the material receiving conveying line is arranged below the upper platform and used for being in butt joint with an AGV, the lifting mechanism is used for conveying stacked material discs to the material receiving opening from the material receiving conveying line, and the correction mechanism and the empty disc stacking mechanism are located on the left side and the right side of the material receiving opening correspondingly. The carrying mechanism moves back and forth between the material receiving opening and the empty tray stacking mechanism, the carrying manipulator is used for sucking materials to be processed from the material tray on the uppermost layer of the material receiving opening and placing the materials to be processed on the correction mechanism, and the feeding manipulator is used for sucking the materials to be processed from the correction mechanism and placing the materials to be processed on processing equipment; the automatic feeding device can be automatically in butt joint with an AGV, receive stacked trays and achieve automatic feeding, manual dependence in the process is eliminated, the correcting mechanism is arranged, the feeding precision can be improved, meanwhile, empty trays can be automatically stacked, the automation degree is high, and the working efficiency is greatly improved.

The utility model discloses a scoliosis correcting device, which belongs to the field of scoliosis correction and comprises a first correcting component and a second correcting component, the first correcting component comprises a plurality of straps, two ends of two straps are fixedly connected with first correcting blocks, two ends of the other straps are fixedly connected with second correcting blocks, and the second correcting blocks are fixedly connected with the second correcting blocks. Rubber bands are installed in the first correcting blocks and the second correcting blocks located on the two sides of the strap, and one side of each first correcting block and one side of each second correcting block are fixedly connected with a first side band and a second side band correspondingly. The first correction assembly is matched with the second correction assembly, so that the spine at the lateral bending position of a user can be accurately corrected, the practicability of the correction device is improved, meanwhile, the spine at the back of the user can be corrected, and the universality of the correction device can be improved.

The invention relates to the technical field of bus duct assembly, in particular to a tool platform and method for improving the assembly accuracy of an elbow bus duct. Comprising a base frame; the adjusting module is fixedly arranged on the base frame in a horizontal state, and the adjusting module is provided with a first adjusting plate and a second adjusting plate which can be obliquely adjusted; the two sets of back shore modules are symmetrically arranged and are vertically arranged on the first adjusting plate and the second adjusting plate correspondingly; the number of the correcting and limiting modules is two, and the two correcting and limiting modules are oppositely arranged on the base frame in a vertical state and located on one side of the adjusting module; the two groups of correction limiting modules are used for limiting and supporting the bending angle of the elbow bus duct; according to the invention, automatic correction and accurate positioning of assembling parts of the elbow bus duct can be realized, and the limiting and supporting state can be automatically adjusted according to elbow bus ducts in different shapes.

The invention relates to a grid denoising method and device, a three-dimensional scanning system and a storage medium, and the method comprises the steps: obtaining all grid patches in a preset neighborhood of a current grid patch in to-be-processed grid data, and obtaining a patch set; performing curved surface fitting based on the patch set to obtain a target curved surface; determining a denoising normal vector of the current grid patch according to the target curved surface, and updating the vertex position of the current grid patch according to the denoising normal vector; and for each grid patch in the to-be-processed grid data, executing the above steps in sequence. According to the method, the curved surface fitting is carried out based on the collected surface patch set, and a more accurate normal vector can be obtained, so that the accurate correction of the vertex of the current grid surface patch is realized at a relatively high speed, and the denoising efficiency and the denoising scale in the grid denoising process are considered.