9 results about "Source surface" patented technology

The invention discloses a boundary-preserving thin-wall structure curved surface triangular mesh alignment method, which comprises the following steps of: reading a geometry and a mesh containing a thin-wall structure curved surface, and mapping a source curved surface and a target curved surface to a target curved surface geometric parameter space; detecting the intersection condition of the source curved surface grid and the target curved surface grid after mapping, and respectively splitting the source curved surface grid and the target curved surface grid into deletion and reservation areas; detecting a coincidence point of the reserved area and the deleted area of the target curved surface grid, and merging sub-areas in contact with the deleted area in the reserved area into the deleted area; boundary line grids of the source curved surface grid reserved area and the target curved surface grid deleted area are extracted and merged to form a transition area boundary line grid, and a transition area surface grid is generated; mapping reserved areas of the source curved surface grid and the target curved surface grid to a three-dimensional space, and combining the reserved areas with the transition area surface grid to obtain a combined surface grid; and extracting a triangular boundary of the source curved surface grid retaining region and an outer boundary of the combined surface grid as a constraint boundary line grid, and performing re-gridding optimization on the combined surface grid.

The application discloses a cross-scale large-scale electromagnetic surface grid generation method with periodic fine features, comprising the following steps: reading a cross-scale electromagnetic geometric model with periodic fine features, setting a replication direction and a number; setting a periodic boundary condition of the electromagnetic geometric model, determining a source surface and a target surface of the replication direction, extracting a boundary line, and establishing a mapping relationship between the source surface, the target surface and the boundary line; discretizing the electromagnetic geometric model to generate a discrete background triangular grid; generating a size field of the overall geometry according to the periodic fine features and the cross-scale features of the electromagnetic geometric model; generating and merging surface grids of the source surface, the target surface and the remaining surfaces according to the discrete background triangular grid and the size field and the mapping relationship; and batch replicating and merging the surface grids according to the replication direction and the number to generate a cross-scale large-scale electromagnetic surface grid with periodic fine features.

This application discloses a precise correction method for the GNSS vertical velocity field based on multi-source load modeling, relating to the fields of geodesy and geophysics. The method includes: acquiring multi-source surface mass load data; constructing a multi-source load dataset; calculating the vertical displacement response of the Earth's surface under point loads based on an elastic Earth model and using Farrell's load Green's function theory, obtaining the load Green's function by solving for the load Love number and summing Legendre series; using the spherical Green's function integration method to calculate the vertical displacement of each grid point on the global grid caused by all mass loads, constructing a global load deformation field, performing time series analysis, and extracting the load correction at the locations of each GNSS station globally; subtracting the load correction from the global GNSS vertical velocity field, while simultaneously subtracting the glacial isostatic adjustment effect, to obtain the corrected GNSS vertical velocity field. This application can obtain accurate and reliable GNSS vertical velocity information.

This invention discloses a method and apparatus for detecting surface waves from natural sources, belonging to the field of geophysical exploration. The apparatus includes a main unit, a vertical component broadband seismograph, a multi-channel amplifier, a data processing module, and a GPS synchronization module. The main unit uses a 32-bit ADC, with a GPS synchronization error of <15ns. The data processing module incorporates F-K and SPAC methods. The method comprises five steps: geodetic analysis using a CORS system with an accuracy of ±2.5mm +1ppm in static plane; instrument deployment as linear stations with a node spacing of 15-25 meters, deploying 40-50 stations at a time; single-line acquisition lasting 1-2 hours with 4G real-time monitoring; obtaining subsurface information through dispersion curve extraction, half-wave inversion, and 3D imaging; instrument consistency testing (0.1-10Hz consistency ≥98%), quality control with 3%-5% retesting at measurement points, and single-point error <±5%. This invention eliminates the need for artificial seismic sources, accommodates both shallow and deep detection, and in practical applications, the overall error is only ±2.96%, making it suitable for geological exploration and other fields.

This invention provides a method for estimating seismic energy based on generalized spherical wave propagation, relating to the field of earthquake engineering. This method determines the initial total energy and seismic power of an earthquake based on its source characteristics and magnitude; it determines the generalized spherical wave equation and calculates the average energy flux density based on this equation; it treats the Earth's surface spherical cap projected onto the source surface as the main influence range of the seismic spherical waves on the surface, equates it to a square, and divides it into grids. The source distance between the center of each grid and the source center is calculated, forming a source distance matrix; the generalized spherical wave energy flux density of each grid is expressed as the sum of the energy flux densities of P-waves and S-waves; the grid is further subdivided to estimate the average amplitude of each subdivided grid mass unit during the seismic period, thus assessing the seismic energy at the site. By defining the generalized spherical wave propagation of source energy, the method estimates the effect of seismic energy on the Earth's surface, providing a more accurate assessment of the distribution of seismic energy on the surface.

The application relates to the technical field of data processing, and discloses a surface morphology evolution prediction method and system based on multi-source surface information and time condition modulation, a terminal and a storage medium.The method comprises the following steps: acquiring surface morphology data, performing data conversion and multi-modal fusion on the surface morphology data to obtain model input features; the model input features are input into a time modulation mechanism network of a conditional surface generation model for training to obtain a target prediction model; target time conditions and a to-be-measured surface are acquired; the target prediction model is used to predict the to-be-measured surface according to the target time conditions to obtain a predicted surface increment field; and the predicted surface increment field and the reference surface are updated in increments to obtain a surface morphology prediction result.The application is based on surface morphology data conversion and multi-modal fusion, a conditional surface generation model is trained, and a to-be-measured surface is predicted, so that the surface morphology can be accurately predicted.

This invention discloses a risk-driven, air-ground collaborative hierarchical inspection method for large-scale linear archaeological sites. The method includes aerial acquisition of imagery and point cloud data of the linear archaeological site to be inspected, generating a digital surface model; calculating the risk value of each cell in the digital surface model based on at least one of topographic, structural, material, and environmental indicators; determining ground detection candidate areas based on the risk values; then performing accessibility scoring on the ground detection candidate areas and generating a detection task sequence based on the scoring results; and having a ground detection device arrive at the points sequentially according to the detection task sequence. Through pose-synchronized back-projection voxelization and fusion of multi-source surface features, a three-dimensional convolutional neural network is driven to achieve accurate detection of internal cavities within the archaeological site. This application overcomes the problems of fragmented surface observation and internal detection, inefficient resource scheduling, and high maintenance costs of three-dimensional models in traditional inspections, thus forming a scalable, reusable, and sustainably updated digital twin inspection framework for archaeological sites.

The present invention provides a projection lens, which has a total of five lenses. Along the optical axis, from the projection surface to the image source surface, it successively includes: a first lens with negative optical power, whose projection-side surface is convex and the image-source-side surface is concave; a second lens with positive optical power, whose projection-side surface is concave and the image-source-side surface is convex; a third lens with negative optical power, and the third lens is a meniscus lens; a fourth lens with positive optical power, both its projection-side surface and image-source-side surface are convex; a fifth lens with positive optical power, whose projection-side surface is convex. The maximum field of view FOV of the projection lens and the f-number Fno of the projection lens satisfy: 20° < FOV / Fno < 26°. The curvature radius R5 of the projection-side surface of the third lens and the curvature radius R6 of the image-source-side surface of the third lens satisfy: 0.3 < R5 / R6 < 3.9. By reasonably configuring the surface types of each lens and reasonably matching the optical powers, the present invention improves the imaging quality of the projection lens, reduces aberration, and improves the projection quality of the projection lens.

The application belongs to the technical field of antenna measurement and electromagnetic nondestructive testing, and particularly relates to a kind of antenna cover local manufacturing defect fast nondestructive testing method and system, sparse sampling coordinates are preset on columnar measurement surface, respectively obtain the reference near-field electric field vector data of standard antenna cover and the measured near-field electric field vector data of antenna cover to be measured;Equivalent source surface conforming to the surface of antenna cover to be measured is established, and the radiation operator matrix representing the mapping relationship between the measured near-field electric field vector data and the equivalent current source distribution on the equivalent source surface is constructed;The reference equivalent current source is solved based on the reference near-field electric field vector data and the radiation operator matrix, and the measured equivalent current source is solved based on the measured near-field electric field vector data using the radiation operator matrix;The vector difference between the reference and the measured equivalent current source is calculated, so as to locate the local manufacturing defect of the antenna cover to be measured.The sampling point of the method is sparse, the calculation efficiency is higher, and the defect positioning accuracy is higher.