473 results about "Contour line" patented technology

The invention discloses a tunnel blasting quality evaluation and optimization method based on multi-source data fusion, and belongs to the field of tunnel blasting quality evaluation, and the method comprises the steps: collecting and preprocessing multi-source data of a tunnel blasting region; based on the preprocessed multi-source data, performing blasting quality evaluation according to local back break, a blasting contour line, average linear back break and point cloud extraction to obtain a blasting quality evaluation result; according to the blasting quality evaluation result, the blasting quality is graded, and a comprehensive blasting quality score is calculated and graded; and establishing a database containing geological parameters, surrounding rock response parameters and blasting process parameters, training through a convolutional neural network model to generate a blasting parameter optimization scheme, and dynamically adjusting blasting parameters of the next cycle according to the comprehensive blasting quality score. According to the method, the blasting parameter optimization and the quality evaluation process are closely combined to form a closed-loop system, the specific situation in the construction can be reflected in real time, and the accuracy of the blasting effect is ensured.

The invention discloses a tunnel back break detection method, system and device and a medium, and particularly relates to the technical field of tunnel detection, and is characterized in that a point cloud feature vector and an image feature vector are fused by using a space-channel attention mechanism, and deconvolution processing is performed on a multi-dimensional fusion feature vector and tunnel point cloud data; concave points are detected according to the two-dimensional edge point set of the tunnel point cloud contour model, and a local concave envelope contour is constructed based on a detection result; fusing the pre-generated convex hull contour and the local concave hull contour to obtain a closed actual measurement section line; performing concave region division on the tunnel point cloud contour model based on the constraint parameter set to obtain a constraint effective feature point set; constructing a constraint actual measurement contour line by utilizing the geometric parameters of the design section and the constraint effective feature point set; fusing the closed actually-measured section line and the constrained actually-measured contour line to obtain a final actually-measured section line; and carrying out back break detection on the tunnel by utilizing the tunnel design section and the final actually measured section line to obtain a back break detection result.

The invention provides a geographic information surveying and mapping method, a geographic information surveying and mapping device and a geographic information surveying and mapping system. The method comprises the following steps: acquiring geographic data; inputting the track data of the unmanned aerial vehicle into the flight strip adjustment model to obtain flight strip parameter values; performing error correction on the laser data according to the air strip parameter value to obtain laser point cloud data; performing point cloud filtering on the laser point cloud data to obtain ground point cloud data and non-ground point cloud data; generating digital elevation model data according to the ground point cloud data, and extracting ground feature features according to the digital orthophoto map and the non-ground point cloud data to obtain ground feature data; and superposing the surface feature data and the contour line data under the same spatial reference to generate a three-dimensional real scene model of the target geographic area. The method solves the problem that in the prior art, geographic information surveying and mapping only depend on space coordinate points to distinguish different objects or scenes, so that surveying and mapping become more difficult.

The invention provides a three-dimensional visual model construction method and system for a mine slope, and relates to the technical field of data processing, and the method comprises the steps: obtaining the inclined image data of the mine slope; performing error correction on the inclined image data; performing live-action modeling according to the inclined image data after error correction to obtain a three-dimensional grid model and a point cloud data file; generating a digital terrain model according to the point cloud data file; extracting a contour line of the digital terrain model, and exporting a contour line file; generating a three-dimensional terrain curved surface by using a terrain data generator according to the contour line file; the three-dimensional terrain curved surface extends downwards by a preset depth, and a three-dimensional entity slope model is generated; physical parameters of side slope rock soil are set, and a Moire-Coulomb intensity criterion is given to the three-dimensional entity side slope model so as to simulate shear failure characteristics of the rock soil; on the basis of shear failure characteristics of rock and soil, grid division is carried out on the three-dimensional solid slope model; and generating a three-dimensional visual model of the mine slope.

The embodiment of the invention discloses a feature recognition labeling method and system applied to three-dimensional tunnel modeling, and the method comprises the steps: firstly carrying out the preprocessing of an obtained tunnel construction design drawing and point cloud scanning data of a corresponding construction stage, and obtaining a three-dimensional tunnel model data set with a space coordinate alignment relation; the three-dimensional tunnel model data set comprises a multi-source data fused structural point cloud unit and a design drawing vectorized contour line unit; secondly, performing three-dimensional structure feature extraction on the data set to obtain geometric morphology features of a structure point cloud unit and structure correlation features of a contour line unit; then carrying out conjoint analysis on the two features through a deep learning network to generate a feature analysis result containing feature response distribution; and finally, based on the result, identifying and labeling a key structure region in the three-dimensional tunnel model data set, generating a feature identification and labeling result containing feature type labels and spatial position information, and providing more accurate analysis and management basis for tunnel construction.

A method, system, medium and program product for measuring a volume based on elevation measurement, the method comprising: determining historical topographic feature data; elevation values of all positions in the mining area in different time periods are extracted; calculating a topographic relief change rule according to the elevation value, and establishing a topographic evolution model according to the topographic relief change rule; extracting terrain boundary feature points and ponding area contour lines from the unmanned aerial vehicle inclined image data; dividing a plurality of local terrain units according to the terrain boundary feature points, and calculating an elevation difference to obtain a gradient change coefficient; determining a terrain prediction model of each local terrain unit; splicing and reconstructing the terrain prediction model of each local terrain unit to obtain underwater terrain estimation data of the ponding area; constructing a mining area terrain model according to the underwater terrain estimation data and the terrain data; and calculating the earthwork excavation volume in the mining area according to the mining area terrain model. According to the invention, the accuracy of mining volume measurement is improved.

The invention relates to a three-dimensional rapid modeling method based on section contour multi-feature constraint, and the method comprises the steps: extracting preset key points based on the drilling space information data of a geologic body section, and constructing a discrete point set of the geologic body section; searching a starting point pair for the discrete point set, and unifying the bypassing direction of adjacent point sets; constructing an initial adjacent contour point set based on the starting point pair and the bypassing direction, performing multi-feature constrained auxiliary point interpolation on the initial adjacent contour point set, and constructing a one-to-one corresponding point set; carrying out interlayer interpolation on the contour point set after the auxiliary point interpolation; and based on the shortest diagonal constraint, carrying out triangulation network splicing on the contour point set after interlayer interpolation. According to the method, the property and the inlaying process of the basic triangular patch can be considered, reconstruction of sparse contour line discrete points with low shape similarity and different points is realized, and the problem of complex surface reconstruction under a sparse profile is effectively solved.

The invention relates to the technical field of land layout, and discloses a BIM platform-based land reclamation project automatic rapid layout method and system, and the method comprises the steps: obtaining the site topographic data of an excavation region, obtaining an original landform BIM model of a field based on the data, carrying out the screening, enabling the screened original landform BIM model of the field not to comprise a super-slope region, and carrying out the screening of the original landform BIM model of the field; arranging a terrace according to the contour line to obtain a field piece line, performing grouping based on the contour line interval where the height of the point cloud data is located, calculating a field surface design elevation, and establishing a preliminary terrace model on the basis of the original landform BIM model of the field piece based on the field piece line, the gross width of the terrace and the field surface design elevation; and establishing a ridge and ridge model on the basis of the preliminary terrace model according to the field surface clear width, the ridge width and the ridge height. According to the invention, a convenient, rapid and intelligent field distribution scheme is provided for a land leveling construction project in the hilly area, so that fine improvement construction of the terrace type terraced field in the hilly area is realized.

The invention relates to the technical field of grouting effect detection, and discloses a method, a system, a medium and equipment for detecting slurry vein distribution after rock-soil body grouting, and the method comprises the following steps: before and after grouting, respectively drawing wave velocity contour lines in a three-dimensional space for a grouting area; the wave velocity contour lines before and after grouting are compared, and after a wave velocity abnormal area is obtained, a slurry three-dimensional distribution model is formed according to inversion of the wave velocity abnormal area; wherein the step of drawing the wave velocity contour line in the three-dimensional space comprises the steps of calculating the wave velocity through the coordinate difference and the time difference between an emitter and a receiver, establishing a wave velocity three-dimensional vector, dispersing a grouting area into equidistant wave velocity points, taking the distance from the wave velocity points to a straight line where the wave velocity three-dimensional vector is located as a weighting factor, and drawing the wave velocity contour line in the three-dimensional space. And carrying out weighted distribution on the wave velocities in different directions to obtain a wave velocity corresponding to each wave velocity point, and drawing a wave velocity contour line in a three-dimensional space. The grouting effect three-dimensional imaging detection can be realized, and the advantages of wide coverage area, high detection precision and the like are realized.

Disclosed are free-form curved surface slicing method and device based on implicit model, includes following: (1) Using mesh model of layered curved surface to intersect with implicit model of a part to be manufactured to obtain contour lines; (2) Comparing rules for intersecting contour lines and meshes within mesh, mesh coordinates are substituted into implicit model, obtaining a position of an intersection point of contour lines in corresponding mesh; (3) Using interpolation method to calculate intersection coordinates of contour lines and mesh boundary, specifying storing sequence of interpolation points, storing intersection points of discrete line segments in mesh; (4) Merging unordered point sets obtained to establish topological relationship between point sets and discrete line segments, each line segment corresponds to two endpoints, each endpoint corresponds to two line segments, based on above, all points traversed will be connected into complete and ordered profile, that is sliced profile.

The invention discloses a BIM (Building Information Modeling)-based building component attribute matching method and a BIM-based building component attribute matching system, contour line segments of a target and a reference component are segmented, curvature change values are recorded, and the local feature expression capability is enhanced. Then, dynamic adjustment parameters are introduced to optimize eigenvector weighting processing, so that the matching process adapts to different shape complexity, and mismatching is avoided; and then, identifying a local similar region by comparing the corrected matching parameter set, and generating a registration mapping relation, thereby improving the accuracy of space consistency judgment. A matching priority matrix is constructed based on the mapping relation and the shape distribution difference, high-matching-degree candidate components are quickly screened, and the matching efficiency is improved. Finally, a feedback adjustment mechanism is adopted in the attribute verification stage, it is ensured that the matching result meets the preset precision requirement, and self-adaptive optimization is achieved. The method effectively solves the problems of low precision and poor stability in non-standard geometric component matching in the prior art, and has important practical value.

The invention relates to the technical field of safety emergency scheduling, in particular to a safety emergency scheduling optimization method based on a geographic information platform, which comprises the following steps: acquiring a contour map space of a disaster area; determining the rescue route difficulty from each rescue coordinate to each to-be-rescued coordinate in the contour map space; obtaining a first attribution degree of each difficult to-be-rescued point in an initial rescue jurisdiction of each rescue coordinate in the contour map space to the rescue coordinate and a second attribution degree of each difficult to-be-rescued point to the adjacent rescue coordinate; determining a final treatment area of each rescue coordinate in the contour map space according to the attribution degree; acquiring the priority of each rescue path in the final rescue jurisdiction of each rescue coordinate in the contour map space; and carrying out rescue work on the final rescue jurisdiction according to the priority of the rescue path. According to the invention, the influence of the rescue jurisdiction and the unbalanced path configuration in the jurisdiction is reduced, and the efficiency of safety emergency scheduling is improved.

The invention relates to the technical field of tunnel and underground engineering construction, and discloses an intelligent closed-loop control system and method for a tunnel construction section contour, and the method comprises the steps: collecting geological-geometric data through the fusion of a three-dimensional laser scanner and a geological radar before blasting; dynamically generating a theoretical blasting contour line and adaptive blasting parameters through a convolutional neural network; iMU positioning and a PID controller are combined to realize millimeter-level accurate control of the drill boom; generating a three-dimensional deviation field by adopting an iterative point cloud registration algorithm after blasting; when the deviation exceeds a threshold value, triggering incremental learning to optimize model parameters; and finally, closed-loop iteration is formed. Through multi-source data fusion, contour and parameter intelligent generation, precise execution control, three-dimensional deviation field feedback and an incremental learning mechanism, a complete intelligent closed-loop control system is constructed, the limitation of traditional blasting design depending on experience is broken through, and the precision, efficiency and economic benefits of tunnel construction are remarkably improved.

The invention relates to a GIS-based site selection method for generally selecting a high depression as an upper reservoir of a pumped storage power station, and relates to the technical field of site selection of pumped storage power stations. Identifying and extracting depression as a generally selected site by using a maximum closed contour line; basic engineering attributes of the generally selected site are calculated; upper reservoir sites meeting the basic construction conditions are screened out according to terrain attributes; and carrying out scoring calculation on the optimal sites to obtain an optimal sequence. According to the method, the closed high-position depression meeting the construction requirement near the sufficient water source is screened out as the optimal site by utilizing important terrain indexes, and the shortest water delivery path and the optimal sequence of the upper reservoir and the lower reservoir are given, so that batch, accurate and rapid site selection is realized, and the site selection efficiency of the pumped storage power station is improved.

The invention belongs to the technical field of three-dimensional modeling, and particularly relates to a BIM-based rock-soil space three-dimensional construction method. Comprising the following steps: acquiring three-dimensional point cloud data and geological drilling data, and extracting rock-soil geological parameter characteristics; preprocessing the point cloud data, and extracting surface feature points and contour lines to generate a point cloud feature data set; registering and fusing the two types of data to generate a rock-soil space fusion data set; constructing a three-dimensional model by using a BIM platform based on the data set; and carrying out precision verification and optimization on the model. According to the method, through multi-modal feature extraction, targeted point cloud preprocessing, layered feature point registration and perfect precision verification, the multi-source data fusion precision and the model reliability are improved, and the fine modeling requirement of geotechnical engineering is met.

The invention discloses a quantitative characterization method for the roughness degree of a high-speed remote landslide motion path, and belongs to the technical field of geological disasters, and the method comprises the steps: firstly obtaining remote sensing image data of a target landslide, DEM digital elevation data of the target landslide and landslide boundary data of the target landslide, and obtaining elevation data of the motion path of the target landslide through processing; carrying out detrending to obtain elevation data of the landslide motion path microtopography; and according to the elevation data of the landslide motion path microtopography, performing calculation based on a joint contour line fractal dimension calculation method to obtain the fractal dimension of the target landslide motion path after detrending, and performing calculation to obtain the path roughness coefficient of the target landslide. According to the method, the calculation process is simple, the application range is wide, the roughness degree of the high-speed remote landslide motion path can be quantified under different spatial scales, the influence of the microtopography in the landslide motion process is fully revealed, and more comprehensive roughness characterization is provided.

The invention discloses an image alignment method and device, equipment and a storage medium, and relates to the field of image processing. According to the scheme, a to-be-detected circuit board scanning graph is obtained, and any unit area in the to-be-detected circuit board is recognized and extracted; based on a preset segmentation rule, segmenting the unit area into a plurality of subareas, and generating a window image set; and extracting window images in the window image set, mapping the window images to a mother layout corresponding to the Pcs particle image one by one according to image contours, and carrying out image alignment according to the image contours so as to carry out defect detection according to the mother layout. The method comprises the following steps: carrying out rasterization segmentation on a circuit board area image, and mapping the image to a target position in a mother layout in a manner that each window image is matched and aligned one by one; and each window image can be compared with the contour line of the mother layout as much as possible, the problems of element missing, dislocation, addition and damage are detected, and the subsequent defect detection precision is improved.

The invention discloses a special terrain extraction method for water conservancy based on a laser radar and satellite remote sensing. The method comprises the following steps: acquiring satellite radar data and satellite remote sensing data of a preset area; performing comparison and discrimination area division according to the radar data and the remote sensing data to obtain a live area and a fuzzy area, and performing water conservancy boundary and terrain extraction on the live area to obtain first data; carrying out collaborative complementary measurement on the fuzzy region to obtain covered water conservancy data, and carrying out water conservancy boundary and terrain extraction on the covered water conservancy data by adopting a closed contour line to obtain second data; according to the first data and the second data, constructing a time sequence water conservancy topology dedicated terrain extraction model, and extracting water conservancy terrain data DEM1 of a preset area; and constructing a two-dimensional hydrodynamic model on the basis of the topographic data and the water conservancy boundary of the preset area to perform flood inundation simulation, extracting a wading area according to an inundation range, and generating water-land integrated HDEM data of the preset area.

The invention relates to the field of aerospace, and discloses a clearance analysis method for civil airport design, which comprises the following steps: S1, loading original topographic map data: reading and processing digital topographic data to construct a three-dimensional topographic model; s2, automatically generating a clearance limit surface: automatically generating and displaying the clearance limit surface according to the standard parameters; the invention also discloses a clearance management system for civil airport design, and the system comprises an original topographic map data loading module which is used for reading and processing the digital topographic map data containing the contour lines and the elevation points, and constructing and displaying the three-dimensional terrain model; and a clearance limiting surface automatic generation module. By proposing an accurate calculation method based on tetrahedron filling and excavation, accurate calculation of ultrahigh earthwork and a zero line thereof is realized, and through a batch automatic evaluation method of obstacles in a clearance limitation surface, the problems of large workload and high error rate caused by one-by-one calculation and re-checking when the number of the obstacles is large are solved.

The invention discloses a gas extraction method based on a transparent gas geologic model, and relates to the field of mine extraction. Comprising the following steps: acquiring geological basic information through a plurality of geological monitoring systems; performing exploration line sectioning on the initial geological model, connecting a triangulation network according to the geological trend, constructing a closed geological contour line, forming a solid model, performing solid model fusion, and establishing a basic geological model; the method comprises the following steps: acquiring gas monitoring information through a plurality of gas monitoring systems, and constructing a transparent gas geologic model; constructing a gas extraction decision model according to the transparent gas geologic model; and obtaining a gas extraction scheme based on the gas extraction decision model according to gas extraction requirements. According to the method, the gas extraction scheme is obtained through the model, the defect that decision making completely depends on human experience is overcome, the scientificity of obtaining the gas extraction scheme is improved, and a reliable basis is provided for gas extraction operation of workers.

The invention provides an isoline net construction method based on river characteristic forms, which comprises the following steps: determining characteristic lines such as left and right bank water surface lines, thalweg and the like of a river through measured data, fitting and encrypting a characteristic curve, and performing modeling through the encrypted characteristic curve and measured points to realize optimization and determination of the isoline of the river; performing linear interpolation on the underwater contour line by using the planned measuring line measuring points; and carrying out joint optimization modeling by utilizing characteristic lines of encrypted interpolation points such as left and right bank water surface lines, thalweg and the like and land actual measurement points to generate a land isoline. After optimization modeling, the underwater contour line truly expresses the river form, the land contour line has no crossing characteristic line, and the contour line is smoother and accords with the actual terrain. The automatically generated contour line is close to the real surface shape, the smoothness is good, and the automation degree is high. The method has good economic benefits and social benefits and is suitable for popularization and application.

The invention relates to the technical field of point cloud data processing, in particular to a Delaunay triangulation network generation method based on point cloud data and computer equipment. According to the method, the triangulation network of each block is generated by numbering, blocking and overlapping the blocks according to a certain proportion and determining a public area and a non-public area (deletion area) of the overlapped part, in the generation process, key parameters are set, and the Delaunay triangulation network is quickly, efficiently and accurately established through reasonable parameter setting. In the triangulation network generation processing of each block, triangles formed by non-public area points at the starting end and the tail end of the current block are removed, and deduplication processing is carried out on triangles in an overlapped area, so that the triangulation network covered by the whole area can be quickly and efficiently generated by using the generation method disclosed by the invention; the Delaunay triangulation network can be generated for continuous (uniform) or discontinuous (non-uniform) point cloud data, and favorable data support is provided for generating a contour line topographic map, calculating the excavation and filling area of the cross section of the roadbed or generating a three-dimensional real scene model.

The invention discloses a heavy metal contaminated soil ecological risk assessment method, and belongs to the technical field of pollution assessment, and the method specifically comprises the steps: dividing a to-be-detected contaminated region into a plurality of grids, collecting indexes in soil of each grid intersection point, and calculating a pollution risk score of each grid intersection point; interpolation data fitting is carried out in the grids through a radial basis function interpolation method, and a contour map of the pollution risk scoring map is generated; selecting a contour line with the maximum numerical value in the contour map, marking the contour line as an initial contour line, determining an initial connection point, sequentially searching an end point connection point, which is longest from the initial connection point of the current contour line, in next-level contour lines, connecting all connection lines, and marking an obtained line segment set as a heavy metal pollution path. Corresponding heavy metal pollution treatment measures are taken according to the soil pH value, the soil ventilation capacity and the soil water content distribution condition in the pollution path; according to the invention, the serious pollution area and the diffusion trend can be clearly identified.

The invention discloses a new energy grid-connected system small signal stable working condition interval and stability margin determination method. The method comprises the steps that S1, a multivariable equivalent binary open-loop transfer function of a new energy grid-connected system about different operation working condition variables is acquired; s2, calculating a phase characteristic and an amplitude characteristic of the multivariable open-loop transfer function; s3, the phase characteristic is set to be phi k, and the amplitude characteristic is set to be 0dB; drawing a multi-phase contour map comprising a plurality of phase contour lines and amplitude contour lines; wherein phi k is a phase value related to the critical stability of the new energy grid-connected system; and S4, calculating the phase margin of the new energy grid-connected system at the intersection point of the phase contour line and the amplitude contour line, and determining the stable working condition interval of the new energy grid-connected system according to the operation working condition variable corresponding to the intersection point of the phase contour line and the amplitude contour line. According to the method, the stable operation interval of the grid-connected system in the whole operation working condition range can be obtained, and the distribution rule of the stability margin of the grid-connected system under different working conditions can be evaluated.

The invention relates to the field of water level measurement, and provides a virtual digital water gauge generation method and a water level measurement method in order to overcome the defects of traditional water level measurement, enrich water level measurement means and assist in improving water level measurement precision. Extracting and generating a vectorized virtual digital water gauge as a leveling rod; by means of a three-dimensional map engine, oblique photography data, video stream data and virtual digital water gauge data are fused and overlapped, a spatialized video stream is projected into a three-dimensional map scene, overlapping comparison of a real-time video water surface and a virtual digital water gauge scale in the same three-dimensional scene is achieved, and the real-time video water surface and the virtual digital water gauge scale are displayed in a three-dimensional visualization mode. The water level of the water body in the target monitoring area is measured, and the measurement applicability and accuracy are higher.

The invention belongs to the technical field of water conservancy projects, and provides a river topography generation method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting data needed for generating a river topography, dividing the river topography into a topography above the highest water level, a topography below the lowest water level, and a topography between the highest water level and the lowest water level, extracting a waterline, a center line and an overflowing section; calculating a relative stability index of an overflow section, identifying a stable river reach in the river channel, and dividing the stable river reach into a curved river reach and a straight river reach; the waterline of the curved river reach and the straight river reach is endowed with an elevation value to obtain a contour line; a terrain above the highest water level, a terrain between the lowest water level and the highest water level and a terrain below the lowest water level are constructed, and the three terrains are spliced to form a complete river channel terrain. According to the method, non-contact generation of the river terrain is achieved, a terrain foundation is provided for hydrodynamic analysis, and the method plays an important role in flood simulation, drainage basin management and ecological protection.

The invention discloses an unmanned ship-oriented coastal scene visual SLAM method and system. The method comprises the steps of obtaining n frames of dynamic detection images of an unmanned ship coastal scene simultaneously containing the sky, the land bank and the water surface; performing target detection on the image by using a YOLOv5s network, and marking a dynamic target to obtain a detection result; performing adaptive edge detection on the image by using an edge detection algorithm, and performing edge elimination on the target to obtain an edge contour line of each region; constructing a segmentation line of the image according to the edge contour line, optimizing the segmentation line of the land bank and the water surface by using an RANSAC algorithm, and removing a dynamic region to obtain a static detection image; inputting the image into an ORB-SLAM3 system, and using an LK pyramid optical flow method and an epipolar geometric constraint method to judge and reject dynamic feature points to obtain static feature points; and inputting the static feature points into an ORB-SLAM3 system for positioning and map construction. According to the method and the system, the dynamic area in the image can be eliminated, the image processing efficiency of the system is improved, and the positioning and map building precision is improved.

The invention provides a positioning method, device and system based on a visual image and a storage medium, and belongs to the technical field of computer vision. The method comprises the following steps: acquiring earth surface feature information based on a to-be-positioned image acquired by observing a to-be-positioned area by a user terminal; matching a contour line corresponding to the earth surface feature information and geographic position information of each contour point on the contour line from an earth surface form library; and determining the pose information of the user terminal in the geodetic coordinate system based on the pixel position information of the target contour point in the to-be-positioned image and the geographic position information of the target contour point. According to the invention, the earth surface image and form information when the to-be-positioned area is the satellite navigation denial area can be rapidly obtained by using space remote sensing, and the information is matched with the earth surface image, so that positioning efficiency and precision are taken into account while positioning and orienting are carried out in the satellite navigation denial area for individuals, unmanned aerial vehicles or light carriers.

The invention provides a smooth non-uniform rational B-spline three-dimensional terrain entity fitting creation method and system, which are mainly applied to the field of pumped storage power station engineering and realize efficient conversion from a two-dimensional contour line to a smooth terrain entity. According to the method, a technical route of an NURBS terrain entity is finally generated by establishing a triangulation network curved surface, specifying a boundary, converting DEM data, creating a grid curved surface, extracting control points and fitting an NURBS curve in a UV direction. Converting the contour line into DEM data and creating a grid curved surface; extracting control points and respectively fitting NURBS curve groups according to U / V directions; a complete NURBS three-dimensional terrain entity is formed by enclosing the surface curved surface, the bottom plane and the four side curved surfaces. According to the method, on-demand adjustment of terrain precision can be achieved, the generated entity can be directly used for CAE simulation calculation and can be combined with a panel dam partition amount calculation algorithm, and the engineering design efficiency is improved.

The invention relates to the technical field of three-dimensional measurement, and discloses a method and system for measuring the transparent dispensing volume, a computer readable storage medium and a computer program product. The method comprises the following steps: placing transparent dispensing glue on a preset metal sheet, and shooting to obtain cross section contour image data of the transparent dispensing glue; extracting a laser stripe center contour line of the two-dimensional contour slice; reconstructing a complete three-dimensional depth distribution model to obtain a dispensing depth map; carrying out plane attitude correction to realize fitting; performing three-dimensional connected domain analysis on the fitted dispensing depth map to screen out a dispensing volume measurement area; and calculating the dispensing volume in the dispensing volume measurement area by using a projection method. In combination with a depth map processing algorithm, high-speed and high-precision measurement of the dispensing volume is realized, so that the dispensing volume before dispensing is accurately controlled, and the method has important significance on product quality control in dispensing process production.