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67 results about "Spatial data structure" patented technology

Three-dimensional geological tunnel modeling method based on spatial data structure system

InactiveCN103226844ASolve spatial form modeling problemsSolve the penetration problem3D modellingNODALSpatial structure
The invention discloses a three-dimensional geological tunnel modeling method based on a spatial data structure system. The method mainly comprises the following steps of: measuring the three-dimensional coordinate value of points on a top central line of the mine tunnel and the section shape parameter of the mine tunnel; reading the acquired three-dimensional coordinate values (namely vertex three-dimensional coordinate values) of points on the top central line of the tunnel from a database, to obtain the relation between the nodes and segmental arcs of the crossed tunnels according to the vertex three-dimensional coordinate values of multiple tunnels; calculating the feature point coordinate value of a three-dimensional surface model of a tunnel body according to the tunnel section shape parameter and the relation between the nodes and the segmental arcs and by using the top-bottom central line of the tunnel as a benchmark; and constructing the surface triangulation networks of the tunnel body according to the feature point coordinate value of the three-dimensional surface model of the tunnel body so as to establish the three-dimensional surface model of the whole tunnel body. By providing the 'section-node-segmental arc' spatial data structure, the effects that the curve of the tunnel is smooth and the crossed tunnels are through are achieved.
Owner:北京建筑工程学院

Method for manufacturing building digital line map based on vehicle-mounted laser radar point cloud

The invention provides a method for manufacturing a building digital line map based on vehicle-mounted laser radar point cloud. The method comprises steps of 1: initializing original vehicle-mounted laser radar point cloud data and arranging all laser foot points as to-be-distinguished points; 2: identifying building vertical faces; 3: extracting building vertical face profiles; 4: correcting the building vertical face profiles where vertical or parallel relations exist; and 5: outputting a building digital line map. According to the invention, scattered point cloud data is organized into a space data structure via a point cloud segmentation method, wherein the space data structure is easy to understand by human beings, obeys natural laws and is provided with the topology relation. A building vertical face detection and extraction method based on prior knowledge is suitable for vehicle-amounted laser radar data with disordered point cloud data and complex distribution of region scene targets. By use of normal vector quantity of fitting panels of the building vertical faces, vertical and parallel topology relations of the building vertical faces are corrected, so precision of topology relations among the building vertical faces is effectively improved.
Owner:CHINESE ACAD OF SURVEYING & MAPPING

Software collision detection method

ActiveCN111062980AImprove the efficiency of collision detectionHigh precisionImage analysisDesign optimisation/simulationAlgorithmCollision detection
The invention discloses a software collision detection method. The method specifically comprises the following steps: establishing a Sphere bounding box for a moving object and a static object in a virtual environment; when the moving object gets close to the static object, determining a collision direction vector; respectively establishing space cutting planes according to the central point and the collision direction vector of the static object or the moving object, and determining the estimated collision range of the static object and the moving object; constructing a spatial hierarchical body model for the estimated collision range, then establishing two structure trees, judging collision intersection, and performing spatial segmentation on an overlapping part in an intersection bounding box; performing intersection testing on basic geometric elements in the obtained small cubes containing the common point set of the two models, and spotting collision points; and determining a deformation area according to the collision points. According to the software collision detection method, the software collision detection efficiency is improved by pre-estimating the collision range andthen constructing the spatial data structure model for software collision detection, the software collision detection accuracy is improved, and the bottleneck problem of software detection is solved.
Owner:XIAN UNIV OF TECH
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