212 results about "Three dimensional surface" patented technology

The invention provides an injection molding part surface flaw detection method and device based on double-model collaboration, and the method comprises the steps: carrying out the local abnormal reflection feature analysis of a multi-view optical image collected on the surface of an injection molding part based on a first detection model, and obtaining a candidate flaw region; performing spatial positioning in the multi-view optical image based on the candidate flaw area to obtain a multi-view candidate image segment; performing surface geometric continuity analysis on the multi-view candidate image segments based on a second detection model to obtain a three-dimensional surface geometric consistency result; carrying out authenticity discrimination on the candidate flaw area based on a three-dimensional surface geometric consistency result to obtain a real flaw area; wherein the first detection model is used for capturing an optical response model of local abnormal reflection characteristics; the second detection model is a stereoscopic vision model for analyzing the geometric continuity of the multi-view lower surface. According to the invention, the false alarm rate of surface defect detection of the injection molded part under a complex surface condition is reduced.

The invention relates to the technical field of image data processing, in particular to a workshop filter defect detection method and system based on image processing, and the method comprises the steps: calculating the real-time rotating speed of a fan based on image analysis; dynamically adjusting the frame rate of the camera according to a rotating speed comparison result; reconstructing a three-dimensional surface model of the equipment; performing camera vibration compensation through the coding mark points; fusing the visible light image, the thermal imaging and the three-dimensional model data to generate a comprehensive diagnosis result; compared with the prior art that blade images are blurred and illumination and shadow interference cannot be accurately distinguished when a fixed frame rate camera fluctuates in rotating speed, the method has the advantages that the frame rate is dynamically adjusted by tracking the fan rotating speed deviation in real time, and multiple groups of images of each blade at the same rotating angle position are captured; the blade tip gradient vector is combined to analyze illumination shadow distribution characteristics, real defects and shadow artifacts are effectively separated, the microcrack recognition accuracy is remarkably improved, and meanwhile misjudgment caused by sudden change of environment illumination is avoided.

The invention belongs to the technical field of bulk material scanning, and relates to a bulk material scanning method based on a laser radar sensor, which abandons a low-efficiency mode that all laser radar sensors continuously work at full power in the prior art, carries out global monitoring by setting a master scanning node, and sets a slave scanning node in a low-power-consumption mode. The method comprises the following steps: registering point cloud data collected by a main scanning node in adjacent scanning periods, generating a change heat map through voxelization differential calculation and spatial clustering, retrieving a high heat change region in the map, and aiming at the high heat change region, considering a geometrical relationship between a sensor and the region and multi-sensor visual angle complementarity. A sensor subset is selected from all slave scanning nodes to execute cooperative enhanced scanning, high-density local point clouds obtained through enhanced scanning and global point clouds of the master scanning nodes are fused, a bulk material pile three-dimensional surface model is generated, and dynamic on-demand scheduling and energy efficiency optimization of scanning resources are achieved.

The invention provides a space intelligent non-planar reflection generation method based on surface normal guidance. Extracting multi-layer visual representation from an original RGB image containing a non-planar reflection medium scene, and identifying a non-planar reflection area by combining brightness distribution of the original RGB image and a spatial symmetry relation; analyzing non-linear deformation features of textures in the non-planar reflection area, and predicting pixel-level three-dimensional surface normal vectors and confidence distribution in combination with multi-layer visual representation to construct a surface normal graph; determining a line-of-sight vector based on a camera imaging model, and executing geometrical optical mapping operation on the line-of-sight vector, the surface normal graph and the confidence distribution to construct a reflection offset field; extracting an intermediate semantic feature representation corresponding to the non-planar reflection region, and generating a pre-distortion reflection feature representation according to the reflection offset field and the intermediate semantic feature representation; and injecting the pre-distortion reflection feature representation, the multi-layer visual representation and the initial reflection area mask into a generative model for image reconstruction, and generating a non-planar reflection image.

The invention belongs to the technical field of three-dimensional surface reconstruction, and particularly relates to a robust three-dimensional surface reconstruction method based on multi-scale fusion. Acquiring three-dimensional point cloud data, fitting local implicit curved surfaces of neighborhood points by adopting a weighted least square method, and generating a geometric reconstruction grid model; extracting geometric features in different receptive fields through multi-scale convolution, introducing channel attention, space attention and a gating mechanism to perform weighted fusion on the geometric features in different receptive fields, enhancing a global dependency relationship by adopting a feature mixing operation, and generating a deep learning grid model; performing double-branch fusion on the geometric reconstruction grid model and the deep learning grid model, highlighting a geometric sensitive area, and obtaining a fused enhanced feature; inputting the fused enhanced features into an implicit function decoder, and predicting a signed distance function value of each vertex; and based on the predicted signed distance function field, a contour surface extraction algorithm is adopted to generate a triangular mesh model, so that three-dimensional surface reconstruction is completed.

The invention provides a three-dimensional reconstruction method based on a structured Gaussian and neural kernel field, and the method comprises the steps: taking a multi-view image, internal and external parameters of a camera, and a point cloud as input, firstly constructing a structured Gaussian representation, optimizing the structured Gaussian representation, then constructing a neural kernel function field of a scene, taking a sparse voxel grid and an anchor point as a basic space structure of a kernel function, and carrying out the optimization of the neural kernel function field; and related features of the kernel function are predicted through neural network learning. According to the method, a mutual guidance mechanism between the structured Gaussian representation and the neural kernel function field is introduced to collaboratively optimize the two representations. And finally, performing efficient view rendering by using the structured Gaussian representation, and outputting a high-precision three-dimensional surface model. According to the method, high-quality rendering and reconstruction output can be realized by utilizing compactness and efficiency of structured Gaussian representation in processing a large-scale scene and combining scalability and robustness of a neural kernel function field in implicit surface learning, and the method is suitable for understanding and application of complex and large-scale three-dimensional scenes.

The invention provides a point cloud completion method and system based on a high-dimensional feature field and structured tensor decomposition, and belongs to the field of artificial intelligence. Comprising the following steps: encoding geometric information carried by sparse point clouds through a space geometric encoder, and distributing the geometric information to three mutually orthogonal two-dimensional feature planes and a three-dimensional feature grid to jointly form a high-dimensional feature field in which space local information is reserved; for any query point in the space, combining the space coordinates of the query point and the local features sampled in the high-dimensional feature field as input, driving a decoder based on structured tensor decomposition, and reconstructing the geometric attribute value of the query point; a continuous geometric field function implicitly defines a three-dimensional surface after completion, and point cloud completion is completed by sampling the function and extracting a zero contour surface of the function. The technical problems that when sparse and incomplete point cloud data are processed, due to information bottleneck and lack of geometric priori, the complementation quality is poor, and macrostructures and microscopic details are difficult to consider at the same time are solved.

The application provides a three-dimensional reconstruction method based on binocular stereo matching, and relates to the technical field of binocular stereo vision. The method combines binocular stereo matching algorithm, triangulation algorithm and surface texture mapping, and can realize surface reconstruction of scene objects in different environments. After stereo calibration is performed on a binocular camera, the internal and external parameters of the binocular camera are obtained, stereo correction is performed, then an image disparity map of the corresponding scene object is generated according to an optimized semi-global stereo matching algorithm, after the disparity information is obtained, the point cloud information converted by the object disparity is triangulated on the surface according to the triangulation algorithm, and finally three-dimensional surface reconstruction of the object is realized through the texture mapping technology. The application can reduce the influence of noise in the disparity map generation process, i.e. the semi-global stereo matching algorithm, improve the accuracy of the disparity information, and complete the three-dimensional surface reconstruction task of the object with little sacrifice of time performance.

The invention relates to the technical field of nondestructive testing, and discloses a wind power casting nondestructive testing method and system, and the method comprises the steps: obtaining three-dimensional surface point cloud data of a to-be-tested wind power casting, employing a sound ray tracking algorithm to calculate a sound path distance and a propagation angle between each imaging point and each array element in an imaging grid, and generating a focusing rule; performing full-matrix data acquisition to obtain an original time domain signal, performing wavelet packet decomposition on the original time domain signal, and determining the peak kurtosis of the original time domain signal; carrying out weighted coherent superposition on any imaging point in the imaging grid based on a focusing rule and an original time domain signal, and reconstructing an image; and identifying a defect indication area in the reconstructed image, calculating an average spatial frequency gradient, determining the number of iterations of a deconvolution algorithm, performing deconvolution processing on the image of the defect indication area, and determining the contour and size of the defect. According to the method, the defect signal can be effectively enhanced, the noise interference is inhibited, and the accuracy of the defect detection result of the wind power casting is improved.

The invention relates to the technical field of image analysis, in particular to a flexible circuit board production quality detection method and system. The method comprises the following specific implementation steps: firstly, collecting a multi-angle luminosity image and multi-channel spectral data, and constructing a material-perceived flexible circuit board three-dimensional surface model after spatial registration; then, fusing the three-dimensional curvature features and the two-dimensional texture features extracted from the model to generate a multi-dimensional feature description vector; and finally, carrying out deviation calculation on the vector and a standard reference, automatically positioning and identifying surface flaws, mapping a flaw area to a three-dimensional model, and generating a detailed detection report containing quantitative characteristic parameters. According to the method, the spectrum material information and the three-dimensional shape information are fused, and geometric and texture combined feature analysis is adopted, so that automatic and high-precision positioning and quantitative evaluation of the tiny flaws on the surface of the flexible circuit board are realized.

The invention discloses a coke residue characteristic detection method and system based on a visual tactile sensor, and the method comprises the steps: carrying out the contact scanning of a coke residue sample through the visual tactile sensor, and obtaining the surface three-dimensional topological point cloud data and distribution force vector data of the coke residue sample; carrying out regional or multi-angle scanning on the coke residue sample, and fusing and reconstructing surface three-dimensional topological point cloud data obtained by each scanning into a complete three-dimensional surface model; extracting a plurality of predefined feature parameters from the three-dimensional surface model and the distribution force data, and performing normalization processing to form a structured feature vector; and based on the structured feature vector, coke residue characteristic detection is carried out through a predefined discrimination rule or a machine learning model. According to the method, the visual tactile sensor is used for performing three-dimensional reconstruction and distribution force acquisition on the characteristics of the coke residue, the apparent description of manual visual inspection is converted into quantifiable three-dimensional shape parameters and characteristic indexes, and the problems that manual judgment is high in subjectivity and cannot be quantized and traced are solved.

The invention belongs to the technical field of optical image processing, and particularly relates to an optical interference three-dimensional shape measurement method and system based on multi-frame interference image registration. Moving the linear displacement table, and acquiring interference images of samples on the linear displacement table according to a preset sampling interval to obtain an original interference image sequence; calculating an actual sampling interval between the original adjacent frames to obtain a sampling interval error accumulation amount of each frame; performing space coordinate compensation on the horizontal coordinate of each frame to obtain a corrected discrete horizontal coordinate; based on the discrete horizontal coordinates, rearranging the original interference image sequence by adopting a linear interpolation method to obtain a registered interference image sequence; extracting pixel points for recombination to obtain interference signals; and carrying out phase calculation on the interference signal to obtain the three-dimensional surface topography of the sample. According to the method, the interference image sequence is reconstructed by adopting a sampling error cumulant quantization and linear interpolation method, so that sub-pixel-level pattern registration and high-precision and large-view-field three-dimensional shape measurement are realized.

The invention relates to the technical field of industrial vision, in particular to a building structure crack recognition method and system based on image analysis, and the method comprises the following steps: projecting a preset coding pattern sequence to the surface of a building structure, and collecting and obtaining a distortion pattern image set, and coding information in the distortion pattern image set is decoded pixel by pixel and triangulation positioning calculation is carried out. According to the method, the coding pattern is projected on the surface of the building structure, the distorted image is synchronously acquired, triangulation positioning calculation is performed after pixel-by-pixel decoding, three-dimensional surface point cloud data with complete details can be generated, a two-dimensional crack grayscale image with uniform illumination is acquired, crack feature missing caused by single-dimensional information is avoided, and the accuracy of crack feature detection is improved. A normal vector and a maximum principal curvature value are calculated based on the three-dimensional surface point cloud data, a threshold value is set to screen a high-change area, and crack points and background points are effectively distinguished, so that the three-dimensional geometrical morphology of the crack can be accurately separated and reserved.

The invention discloses an aircraft grid generation method and device based on conformal mapping and topological segmentation, equipment and a storage medium, and relates to the technical field of computational fluid mechanics, and the method comprises the steps: generating a surface unstructured grid according to an aircraft model, carrying out the conformal mapping to a parameter domain plane grid through Ricci flow, and calculating the compression ratio of the surface unstructured grid; if the compression ratio is smaller than a first threshold value, extracting a contour line corresponding to a second threshold value; positioning a triangular grid corresponding to the isoline discrete points in the parameter domain plane grid by using a spatial partitioning algorithm, inserting the discrete points into the grid according to the relationship between the vertex distance and the edge distance, forming a closed internal boundary through a one-dimensional boundary recovery operation, and determining a corresponding region; the area is inversely mapped back to the three-dimensional surface, the surface grid is updated, the mapping and judging steps are repeated until the compression ratio meets the requirement, and the parameter domain plane grid is set as a target aircraft grid, so that the efficiency of generating the aircraft grid is improved.

The invention belongs to the technical field of image data processing, and particularly relates to an electron beam welding quality detection method and system, and the method comprises the steps: obtaining a welding seam image under the irradiation of a light source in a fixed direction; identifying and extracting defect plaques and expanded neighborhoods thereof and reconstructing the defect plaques and the expanded neighborhoods thereof into a local three-dimensional surface; obtaining a shadow depth index representing the depth of the defect plaque by analyzing the shadow feature of the defect plaque under directional illumination; based on the maximum principal curvature and the direction of each point of the reconstructed three-dimensional surface, obtaining a stress concentration ratio for evaluating the sharpness degree and the direction consistency of the micromorphology of the defect plaque; and obtaining a comprehensive hazard index through the shadow depth index and the stress concentration ratio, and carrying out detection and quality evaluation on the defect plaque according to the index. According to the method, the high-risk defect patches and the surface flaws are distinguished by evaluating the depth and the stress concentration ratio of the defect patches, and a reliable basis is provided for welding quality evaluation.

The invention discloses a three-dimensional surface reconstruction method and system based on point cloud normal vector estimation, and belongs to the technical field of three-dimensional reconstruction in computer vision, and the method comprises the steps: obtaining a spatial data set of current equipment, and constructing a three-dimensional point cloud based on the spatial data set, constructing a plurality of local neighborhood point cloud blocks corresponding to the spatial data set based on the three-dimensional point cloud; executing a local point cloud normal vector estimation step based on the plurality of local neighborhood point cloud blocks, obtaining a plurality of local point cloud normal vectors corresponding to the plurality of local neighborhood point cloud blocks, and constructing a three-dimensional point cloud normal vector set based on the plurality of local point cloud normal vectors; and constructing a three-dimensional surface reconstruction virtual model of the current equipment based on the three-dimensional point cloud normal vector set. According to the three-dimensional surface reconstruction method and system based on point cloud normal vector estimation provided by the invention, the accuracy of three-dimensional point cloud normal vector estimation is effectively improved, and then the high precision and the high integrity of the construction of a three-dimensional surface reconstruction virtual model of current equipment are improved.

The invention discloses a text-to-three-dimensional surface generation method and system based on a two-dimensional Gaussian surface element, and belongs to the technical field of three-dimensional reconstruction, and the method comprises the steps: representing a three-dimensional object surface as a Gaussian surface element on a local tangent plane; receiving a text description, generating normal diagrams and texture diagrams of a plurality of visual angles based on a pre-training text-to-image diffusion model, and generating a preliminary background mask at the same time; determining the center of sphere and the maximum radius according to the extrinsic parameters of the camera, and randomly generating Gaussian surface elements in the spherical range; removing the surface elements falling in the preliminary background mask area; on the basis of a two-dimensional Gaussian dot drawing renderer, the normal graph and the texture graph are rendered from multiple perspectives, and curvature consistency regular loss and surface convergence constraint loss are calculated; geometric and texture parameters of Gaussian surface elements are optimized through back propagation, iteration is carried out until convergence, and a final three-dimensional model is output. According to the method, the high-fidelity three-dimensional surface can be generated from the text without SfM (Structural Recovery Motion) initialization, and the method has relatively high geometric consistency and generation speed.

The present invention provides a retainer for a rolling bearing that can stably maintain a low friction state even under severe lubrication conditions such as high-speed rotation by defining the surface roughness of the retainer using a plurality of three-dimensional surface roughness parameters, and a rolling bearing that uses the retainer. [Solution] The retainer 5 is a cylindrical resin retainer for a rolling bearing, and is formed with multiple pockets 6 that hold the rolling elements. The surfaces 6a that form the pockets 6 and at least one of the inner diameter surface 8 and outer diameter surface 9 of the retainer 5 have a value of A=(Sa / 10)+Str+(Spk / 10), which is calculated from the arithmetic mean height Sa, the aspect ratio Str of the surface texture, and the protruding peak height Spk, of 1.20 or more.

The application is a kind of fiber reinforced ceramic matrix composite surface three-dimensional roughness detection method and system, belongs to the technical field of material processing surface quality detection;Method is, first scanning fiber reinforced ceramic matrix composite processing surface to get the original processing surface three-dimensional model, and export point cloud data;Secondly, the coordinate transformation processing is carried out to the original three-dimensional model point cloud data, and the model is put right, the height difference of adjacent point cloud data is taken as the feature, the abnormal data points are screened and removed, the internal hole exposed on the processing surface is removed, the processing surface is reconstructed and the three-dimensional roughness S a Is calculated;Then determine the measurement area;Finally, according to the determined measurement area, the above scanning, hole removal, model reconstruction, S a The calculation work, namely the three-dimensional roughness of the processing surface is determined. The three-dimensional surface roughness value calculated by the application is no longer affected by the hole data, which ensures the effectiveness of the data.

The application discloses an intelligent laser-dry ice composite cleaning method and device, and belongs to the field of stain cleaning. The application is used to solve the problem of unsatisfactory cleaning effect of the prior art on stains with large thickness. The method comprises the following steps: performing visual scanning on a workpiece to be cleaned, obtaining stain thickness distribution on the surface of the workpiece to be cleaned through three-dimensional surface morphology reconstruction, and dividing the surface of the workpiece to be cleaned into multiple sub-regions according to the stain thickness; the sub-regions include three types: an extremely thin sub-region, a medium-thickness sub-region and a large-thickness sub-region; performing cleaning path planning to form three cleaning paths; the cleaning process of the cleaning path of the extremely thin sub-region is laser cleaning; the cleaning process of the cleaning path of the medium-thickness sub-region is laser-dry ice composite cleaning; and the cleaning process of the cleaning path of the large-thickness sub-region is laser-dry ice composite cleaning. The cleaning device comprises a ground rail gantry motion system, a first mechanical arm, a second mechanical arm, a dry ice cleaning system, a visual identification system and a pulse laser cleaning system.

This invention discloses a method, system, and storage medium for interactive welding of the three-dimensional surface of a rudder workpiece, belonging to the field of automated welding technology. The welding method includes: acquiring complete raw point cloud data of the rudder workpiece through point cloud scanning; performing semantic segmentation on the three-dimensional surface structure in the raw point cloud data to obtain the rudder top surface point cloud; extracting the skeleton contour structure of the rudder workpiece based on the rudder top surface point cloud as welding guide lines; sorting the welding guide lines according to a pre-set arrangement; and adjusting the sorting of the welding guide lines interactively according to actual processing requirements to complete the interactive welding of the three-dimensional surface of the rudder workpiece. The welding system of this invention includes a structured light camera, a robotic arm, and an information processing computer. This invention automates the welding process of rudder workpieces, eliminating the problem of inconsistent results from manual welding, and also features interactive weld line selection functionality, adapting to different welding processes with high flexibility.

The present application belongs to the technical field of image processing, and particularly relates to a kind of detection method for the flatness of plastic floor. Three-dimensional height data and image of the joint are collected; the image is preprocessed by improved bilateral filtering denoising and improved nonlinear gray change enhancement; light stripe is projected and combined with data, and an improved algorithm is used to reconstruct a three-dimensional surface model; based on the model, a height difference index is obtained, and with the aid of the preprocessed image, a width uniformity index is obtained; the two indexes are multiplied to obtain a flatness index, and the threshold value is used to judge the eligibility. This method realizes high-precision quantitative detection and improves the objectivity and efficiency of evaluation.

The invention discloses a fat melting method and system capable of keeping energy consistent and a storage medium. The fat melting method comprises the steps that relative motion data of a laser projection end and the body surface are collected in real time, and point cloud data of the body surface are collected; according to the relative motion data and the body surface point cloud data, constructing a dynamic three-dimensional surface model of the human body surface area; acquiring a first laser irradiation parameter at the first breathing moment; according to the dynamic three-dimensional surface model, a first parameter of a fat melting area at the first breathing moment is obtained; according to the dynamic three-dimensional surface model, a second parameter of a fat melting area at a second breathing moment is obtained, and the second breathing moment is larger than the first breathing moment; calculating a parameter difference value according to the first parameter and the second parameter; the power of the first laser irradiation parameter and the single irradiation duration are corrected based on the parameter difference value, and a second laser irradiation parameter is obtained; and irradiating the fat melting area by using the second laser irradiation parameter.

The invention provides a three-dimensional surface reconstruction method based on multi-resolution three-plane coding. The method comprises the following steps: S1, acquiring a plurality of two-dimensional images shot by the same object at different camera visual angles; s2, constructing an initial model, wherein the model comprises a sampling module, a coding module, a first multi-layer perceptron and a second multi-layer perceptron; s3, performing multi-stage training on the initial model by adopting a plurality of two-dimensional images, and taking a coding module, a first multi-layer perceptron and a second multi-layer perceptron obtained after training as target models; s4, taking three-dimensional space points corresponding to all vertexes of each cube in a three-dimensional space formed by a plurality of cubes as input, and predicting the color and signed distance function value of each three-dimensional space point by adopting a target model, and reconstructing the three-dimensional grid representation of the object in the two-dimensional image based on the predicted color of each three-dimensional space point and the signed distance function value.

This invention discloses a method and system for testing the compressive strength of concrete in building engineering, relating to the field of concrete strength testing technology. The method includes: acquiring ultrasonic propagation data, infrared thermal imaging sequences, and three-dimensional surface topography point clouds of concrete components to form a multi-dimensional physical field data set; performing cross-modal fusion processing on the data set to generate a feature mapping map of internal defects in the concrete and a material homogeneity distribution spectrum; calling a pre-trained strength prediction model to analyze the feature mapping map and distribution spectrum to obtain predicted compressive strength values ​​and markers of structurally weak areas; spatially weighting the predicted values ​​based on the markers to generate corrected compressive strength values; and outputting a test report and maintenance recommendations based on the corrected values ​​and distribution spectrum. This method improves the accuracy of strength testing and the comprehensiveness of defect identification.

The invention discloses an intelligent detection method and system for garment quality inspection, and relates to the technical field of computer vision and intelligent manufacturing. The method comprises the following steps: carrying out pixel-level feature analysis on two-dimensional image data, identifying a sewing line and a printing area, and mapping the sewing line and the printing area to a unified space coordinate system; reconstructing the three-dimensional surface form of the garment based on a stereoscopic vision algorithm, and calculating the dimensional deviation of key parts; converting the spectral data into a CIELAB color space, and carrying out optical distortion correction on local chromatic aberration in combination with a three-dimensional curvature; and under a unified space coordinate system, performing correlation analysis on the stitches, the dimensional deviation and the corrected space distribution, identifying a composite defect which cannot be judged by a single defect, generating a correlation defect identifier, and finally forming a quality report. The technical problems that in the prior art, local chromatic aberration is easily influenced by three-dimensional curved surface deformation and optical distortion of ready-made clothes, information such as dimensional deviation, sewing and printing defects and the local chromatic aberration is isolated, comprehensive correlation analysis is lacked, and consequently the detection accuracy is insufficient are solved.

The invention discloses a roughness measurement method fusing a 2D normal map and a 3D replacement map. The method comprises the following steps: acquiring an RGB image and a depth image of a cable joint; the RGB image is preprocessed; calculating to obtain a corresponding 2D normal map and a corresponding 3D replacement map; carrying out surface leveling operation on the 2D normal map, and obtaining the 2D roughness of the cable joint through a two-dimensional surface roughness calculation formula on the leveled image; fitting the 3D replacement map to the three-dimensional point cloud corresponding to the depth image, counting the height value of each point in the point cloud, and calculating the 3D roughness of the cable joint according to a three-dimensional surface roughness calculation formula; and carrying out weighted average on the 2D roughness and the 3D roughness to obtain a cable joint roughness measurement result. The method is suitable for being transplanted to a mobile terminal and an embedded system platform, and has the characteristic that the surface roughness of the cable joint can be quickly, conveniently, accurately and safely measured.

This invention discloses a GIS-based refined design method for blind drains, relating to the field of geotechnical engineering technology. The method includes the following steps: acquiring topographic data of the target area and constructing a Digital Elevation Model (DEM) based on the topographic data; performing hydrological analysis based on the DEM, extracting the gully network, and distinguishing between main gully lines and tributary gully lines; determining the blind drain layout scheme based on the gully network, where the main gully lines correspond to the locations of main blind drains and the tributary gully lines correspond to the locations of tributary blind drains; calculating the three-dimensional surface length of the blind drains along the actual terrain in the layout scheme based on the DEM; and performing engineering quantity statistics and output based on the three-dimensional surface length. This method deeply integrates the hydrological analysis module of a Geographic Information System (GIS) with blind drain engineering design, achieving automation and precision from gully identification to engineering quantity calculation.

The invention belongs to the technical field of image processing, and particularly relates to a historical relic multispectral three-dimensional reconstruction disease automatic detection and repair guide system, which comprises a spectrum acquisition and model fusion unit, an automatic detection unit and a repair pose guide unit, wherein the spectrum acquisition and model fusion unit is used for forming an apparent geometric fusion model with reflectivity and geometric consistency; the automatic detection unit is used for mapping the multi-view and multi-spectral images to a three-dimensional surface in a unified coordinate system and outputting a disease heat map attached to the three-dimensional surface; and the restoration pose guide unit is used for generating a pose guide map according to the disease heat map, planning a path for avoiding the fragile area on the three-dimensional curved surface by using an A star search algorithm, and outputting a restoration pose guide sequence. According to the method, deep fusion of multi-modal data can be realized, and the accuracy and boundary fitness of disease detection are improved.

The application discloses an aircraft grid generation method and device based on conformal mapping and topological segmentation, equipment and a storage medium, relates to the technical field of computational fluid dynamics, and comprises the following steps: generating a surface unstructured grid according to an aircraft model, conformally mapping the surface unstructured grid to a parameter domain plane grid through Ricci flow, and calculating the compression rate of the parameter domain plane grid; if the compression rate is less than a first threshold value, extracting an isoline corresponding to a second threshold value; locating a triangular grid corresponding to an isoline discrete point in the parameter domain plane grid by using a spatial partition algorithm, inserting the discrete point into the grid according to the vertex distance and edge distance relationship, forming a closed internal boundary through a one-dimensional boundary recovery operation, and determining a corresponding region; inversely mapping the region back to a three-dimensional surface, updating the surface grid, and repeating the mapping and judging steps until the compression rate meets the requirement, and setting the parameter domain plane grid as a target aircraft grid, so that the efficiency of generating the aircraft grid is improved.