300 results about "3d topography" patented technology

The invention provides a GNSS-RTK-based topographic mapping method and system, and the method comprises the steps: obtaining multi-source positioning signal data in a target region, the multi-source positioning signal data comprising a satellite original observation value, a receiver antenna phase center deviation parameter, and real-time dynamic differential correction information; performing multi-path interference suppression processing on the multi-source positioning signal data to generate a phase observation sequence after interference suppression; inputting the phase observation sequence after interference suppression into a topographic feature calculation model, and extracting topographic elevation change feature parameters of the target area; performing spatial fusion processing based on the terrain elevation change characteristic parameters and reference elevation parameters in a preset terrain database to generate three-dimensional terrain curved surface data of the target area; and dynamically adjusting the topographic map updating frequency according to the difference degree between the three-dimensional topographic surface data and the historical topographic surveying and mapping result, and outputting a real-time topographic surveying and mapping result. According to the invention, precision, real-time performance and resource efficiency can be considered in complex terrain environment application.

The invention belongs to the technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention relates to a terrain real scene modeling method, device and equipment and a storage medium thereof. According to the method, multi-source heterogeneous data related to the terrain in a target area is integrated, a multi-modal data cube is generated through noise filtering and data fusion under a unified coordinate system, then a data cavity area is identified based on density clustering and elevation gradient analysis, and geophysical features are extracted. Innovatively constructing a neural implicit inference model fused with physical constraints to perform joint modeling on the earth surface and underground structures, and finally converting implicit terrain representation into an explicit three-dimensional terrain model; seamless fusion modeling of the earth surface and the underground space under the complex shielding environment is achieved, the physical rationality of the model and the hidden area reconstruction precision are remarkably improved, meanwhile, it is ensured that the generated model strictly conforms to the geological physical law, and the geological engineering safety and the planning reliability are effectively guaranteed.

The invention discloses a high-precision topographic mapping system and method based on multi-source remote sensing data, and relates to the technical field of topographic mapping, and the method comprises the steps: obtaining an optical remote sensing image, a radar remote sensing image, LiDAR point cloud data and meteorological index data of a target region, and carrying out the data preprocessing of the optical remote sensing image, the radar remote sensing image and the LiDAR point cloud data; obtaining the surface feature types of the target area and the coverage area of each surface feature type, and carrying out the weighted fusion of the optical remote sensing image and the radar remote sensing image of the target area according to the surface feature types of the target area and the coverage area of each surface feature type, and obtaining a self-adaptive fusion remote sensing image; according to the method, points in LiDAR point cloud data are divided into distinguished ground points and non-ground points, a digital elevation model is constructed according to the ground points in the LiDAR point cloud data, three-dimensional modeling of the terrain is performed on the basis of the digital elevation model in combination with texture information of a self-adaptive fusion remote sensing image, a three-dimensional terrain model is generated, and the terrain surveying and mapping precision is remarkably improved.

The invention provides a high-precision topographic mapping and three-dimensional modeling system based on an unmanned aerial vehicle, and the system comprises an unmanned aerial vehicle cooperation module which is used for deploying a multi-source sensor and a sensor electronic interface on the unmanned aerial vehicle, and building a distributed network of the unmanned aerial vehicle; the real-time dynamic positioning module is used for acquiring unmanned aerial vehicle positioning data and an initial target terrain map; the autonomous control module is used for generating a flight path, performing dynamic adjustment, constructing an autonomous flight control model and outputting a flight control instruction; the data quality enhancement module is used for performing parameter adjustment on the real-time data and performing space and signal level combined processing on the real-time data so as to enhance the data quality; and the terrain model optimization module is used for processing the laser radar point cloud data so as to construct a three-dimensional terrain model post-processing module, and carrying out data visual display and flight suggestion generation. According to the method, the positioning and modeling precision is greatly improved, efficient surveying and mapping are achieved, the single-point fault risk is reduced, and it is guaranteed that tasks can be completed in a high-safety, high-precision and intelligent mode.

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 invention discloses a wharf shoreline terrain reconstruction method based on remote sensing data, and belongs to the technical field of three-dimensional terrain reconstruction. The method comprises the following steps: acquiring a multi-temporal multispectral remote sensing image, a synthetic aperture radar image, a laser radar point cloud and synchronous tidal water level data of a target wharf area; processing the multispectral image to generate an initial land and water segmentation map; carrying out tide correction by utilizing the tide water level data, fusing the multi-polarization characteristics of the synthetic aperture radar image, and correcting the ground feature type to obtain an accurate land and water boundary diagram; processing the laser radar point cloud to generate a digital surface model, extracting a shoreline contour with sub-pixel-level precision from the digital surface model, and endowing the shoreline contour with an elevation value; and superposing the shoreline contour with the elevation with the multispectral image to generate a three-dimensional terrain model. According to the method, the problems of low terrain reconstruction precision, large tide influence and insufficient automation degree of a traditional method in a complex wharf environment are solved, and high-precision and high-efficiency wharf shoreline three-dimensional automatic reconstruction is realized.

The embodiment of the invention provides a water conservancy project intelligent processing system based on BIM and GIS. The water conservancy project intelligent processing system comprises the steps that material strength and construction timestamps of engineering components are extracted through a BIM parser to generate a topological relation graph; combining the remote sensing image and the geological data through a coordinate converter to determine a three-dimensional terrain field; establishing a spatial Hash grid correlation topological relation graph and a three-dimensional terrain field; constructing a digital twinborn body containing structural stress distribution and a hydrodynamic model on the basis of a correlation result; executing Monte Carlo simulation in the digital twin according to the real-time sensor data to generate a prediction scene set; when abnormal data is monitored, performing reverse tracing along the topological relation graph to generate a multi-factor association graph; and optimizing a disposal plan weight coefficient through a reinforcement learning algorithm and updating the knowledge base. Pixel-level matching of the rock-soil layer permeability coefficient and the concrete member strength is achieved, the system can recognize the coupling relation between a geological weak area and a structural high-risk point, meanwhile, a knowledge graph containing a construction time sequence is constructed, and a cause chain of quality defects can be traced.

The invention relates to the technical field of ocean engineering surveying and mapping, and particularly provides an ocean engineering surveying and mapping terrain correction method based on multi-beam sounding. The method comprises the following steps: constructing a tremor-sound velocity coupling model through multi-source data synchronous acquisition, and generating a sound velocity dynamic correction term; fusing the static sound velocity profile, the internal wave disturbance term and the sound velocity correction term, and establishing a time-shifting sound velocity field of spatio-temporal evolution; realizing dynamic space homing calculation through a double-shaft decoupling rotation matrix based on a hull attitude and a time shifting sound velocity field; tunnel effect noise is suppressed by adopting an airspace adaptive filtering technology; the terrain deformation rate is calculated in combination with continuous cycle data, and a deformation threshold value is dynamically set through soil mechanical parameters to trigger graded safety early warning; and outputting the high-precision three-dimensional terrain model without the sound velocity error and the noise interference. According to the method, the problems of geological activity interference compensation deficiency, tunnel effect noise suppression insufficiency, large dynamic environment homing error and the like in traditional surveying and mapping are solved, and the reliability of complex sea area topographic survey is remarkably improved.

The invention discloses a dam piping checking method, device, system and equipment, and relates to the field of dam piping detection. The method comprises the following steps: determining a first piping suspected point from a thermal infrared image; determining a second piping suspected point in the visible light image; determining the same piping suspected point in the first piping suspected point and the second piping suspected point as a first piping point; reconstructing a three-dimensional terrain digital elevation model according to the laser point cloud data; determining the material type of an object in the target dam investigation area according to the laser radar reflection signal; matching objects in the first piping suspected point, the three-dimensional terrain digital elevation model and the target dam troubleshooting area; according to the matched three-dimensional terrain digital elevation model and the material type of the object, misjudged piping suspected points in the first piping suspected points are deleted, and second piping points are obtained; and determining the first piping point and the second piping point as the piping points of the target dam investigation area. According to the invention, the accuracy of dam piping point troubleshooting can be greatly improved.

The invention discloses an indoor water tank sediment pushing characteristic acquisition system and method, the system mainly comprises a water tank main body, a buffer unit, a drainage adjusting unit, a sediment throwing device, an imaging unit, an adjustable support and a data processing unit, and according to the method, non-contact data acquisition is carried out through a high-definition camera and a three-dimensional terrain measuring instrument; automatic identification, parameter extraction and migration speed calculation of landforms such as sand waves are achieved, the sediment bed surface is not touched in the whole process, damage to the bed surface form caused by traditional contact type measurement is eliminated, and the authenticity and reliability of data are ensured. Meanwhile, the buffer design of the combination of the flow slowing plate and the multi-stage water baffle is adopted, the kinetic energy of water flow is effectively dissipated through the graded water outlet structure, the impact force of injected water flow is greatly reduced, the bed surface is prevented from being scoured in the initial water injection stage, and the stability of the initial test condition is powerfully protected.

The invention relates to the field of hydrological monitoring, in particular to a hydrological monitoring early warning method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring a panoramic continuous aerial image of a to-be-monitored area; adaptive histogram equalization and image time delay interpolation optimization are carried out on the panoramic continuous aerial image of the to-be-monitored area to construct a time delay optimized continuous image; performing water body landform semantic analysis on the time delay optimized continuous image, performing real-time three-dimensional landform modeling, and constructing a real-time three-dimensional landform model; performing continuous frame optical flow tracking on the time delay optimized continuous image, performing inter-frame optical flow motion vector calculation, and generating a water level fluctuation curve and surface ponding area change characteristics; and carrying out instant hydrological state rendering on the real-time three-dimensional terrain model according to the water level fluctuation curve and the surface ponding area change characteristics so as to construct a dynamic hydrological state evolution model. According to the invention, accurate and efficient hydrological monitoring and early warning are realized, and the safety of the hydrological basin is improved.

The invention relates to the technical field of terrain monitoring, and discloses a terrain change monitoring system based on image analysis, and the system is characterized in that an image obtaining module is used for obtaining multi-source image data, carrying out the fusion, and generating a fused image; the preprocessing module is used for preprocessing the fused image to obtain a preprocessed to-be-analyzed image; the analysis module is used for constructing a dual-channel deep convolutional network, analyzing the preprocessed to-be-analyzed image and detecting a topographic change area; the generation module is used for processing the detected terrain change area by adopting an incremental point cloud processing technology, and generating a three-dimensional terrain difference model and a settlement area volume change thermodynamic diagram in real time by combining a Poisson surface reconstruction algorithm; the early warning module is used for analyzing the generated three-dimensional terrain difference model and the volume change thermodynamic diagram, calculating parameters of terrain change and performing early warning processing; according to the method, the topographic change is accurately evaluated, and the accuracy and reliability of early warning are improved.

A method for adaptive user training and gaming utilizing a media player is disclosed that includes acquiring images from cameras surrounding a training environment and attempting to segment a ball and a human in each of the images, wherein when failing to segment either the ball or the human in a first image, the first image is rejected from further processing. The operations additionally include creating masks of the ball and the human, extracting features for both the ball and the human in each of the remaining images, and computing surface information of the training environment using photoclinometry. For each of the remaining images, the operations includes computing a distance between the ball and the human. Additionally, the operations include identifying an image having the greatest distance between the ball and the human and computing a three-dimensional topography from the identified image.

The invention relates to a road understanding method and device under the conditions of satellite denial and no prior map. The method comprises the following steps: generating global guide information by using a spline curve according to satellite map marking points; fusing the laser radar point cloud data to construct a three-dimensional terrain model, extracting roughness and a normal vector to obtain a corresponding graph, and constructing an environment trafficability graph; then, defining a credibility value for each graph, fusing a roughness graph and a normal vector graph evidence, and carrying out basic probability distribution fusion with a trafficability graph to obtain final data; determining a passable area based on the global guidance information and the final data, estimating the width of the passable area, and calculating the current position, angle expectation and standard deviation in combination with the local guidance information; and finally, calculating posteriori estimation by taking the distance as a measured value, and analyzing a boundary, so as to obtain a corrected guide path and a passable area. By adopting the method, the path generation accuracy can be improved.

The invention provides a modeling method and system for fusing live-action three-dimensional data and a digital model, and the method comprises the steps: obtaining real-time point cloud data in a preset terrain scene, taking the real-time point cloud data as the live-action three-dimensional data, and loading a digital model as a global terrain reference; carrying out optimization processing on the live-action three-dimensional data, and carrying out space-time alignment on the optimized live-action three-dimensional data and the digital model to generate an alignment data set; and determining a final fusion weight of the aligned live-action three-dimensional data and the aligned digital model based on the spatial distribution density and the terrain curvature value of the aligned data set so as to perform fusion processing on the aligned live-action three-dimensional data and the aligned digital model to generate a three-dimensional terrain model. Modeling of fusion of live-action three-dimensional data and a digital model is realized; according to the method, the problems of non-uniform space-time reference of multi-source data, surface distortion of a fusion model and detail loss in a complex terrain scene are solved, and high-precision and high-integrity live-action three-dimensional and terrain reference data fusion modeling is realized.

The invention relates to the technical field of geographic information engineering, in particular to a surveying and mapping geographic system based on a remote sensing technology, which is characterized in that a multi-modal remote sensing data acquisition module synchronously acquires satellite remote sensing images, aviation LiDAR point cloud, unmanned aerial vehicle oblique photography and ground Internet of Things sensing data; the data fusion collaboration module carries out geographic coordinate calibration and position coding, and generates a surveying and mapping data set with unified precision in combination with an improved Mamba fusion model; the dynamic terrain high-precision inversion module performs three-dimensional terrain reconstruction, and completes terrain deformation monitoring in combination with an InSAR interference measurement technology and a time sequence analysis algorithm; the real-time error correction module constructs a BP neural network optimized by an ISSA algorithm, and dynamically corrects a terrain three-dimensional model and a terrain deformation result; the intelligent visual application module constructs a digital twinborn simulation model and automatically generates a standardized surveying and mapping result report. Therefore, the problems of weak multi-source data fusion, low terrain inversion precision and the like in the prior art are solved.

The invention discloses a landslide particle flow and live-action three-dimensional geographical environment analysis method and device, a medium and a product, and relates to the field of geological landslide simulation, and the method comprises the steps: determining a sliding body and a sliding bed region based on digital elevation model data before and after a landslide; establishing a three-dimensional landslide model by adopting a three-dimensional particle flow discrete element PFC3D based on the digital elevation model data before and after the landslide and the sliding mass and sliding bed areas; performing landslide particle motion simulation based on the three-dimensional landslide model; acquiring remote sensing images before and after the landslide; constructing a three-dimensional terrain scene based on a live-action three-dimensional technology according to the remote sensing data and the digital elevation model data of the corresponding period; obtaining and updating particle data according to the landslide particle motion simulation result; performing fusion rendering on the particle data and the three-dimensional terrain scene to obtain a simulation result of superposition of landslide simulation and the three-dimensional scene; the complete process of landslide occurrence can be visually displayed, and damage analysis can be accurately carried out on the landslide.

The invention provides a base station electromagnetic radiation visual monitoring method and device, and the method comprises the steps: determining a three-dimensional topographic map of a monitoring region, carrying out the electromagnetic radiation measurement of an actual geographic position corresponding to a preset collection point on the three-dimensional topographic map, and obtaining the actual measurement data; obtaining beam characteristic parameters of each base station and space coordinate data of the actual geographic position, and calculating predicted electromagnetic radiation data of the actual geographic position according to the electromagnetic radiation prediction model; correcting the model, and calculating electromagnetic radiation data of a target area on the three-dimensional topographic map based on actually measured electromagnetic radiation data and the corrected electromagnetic radiation prediction model; and visually displaying the actually measured electromagnetic radiation data of the preset acquisition point and the electromagnetic radiation data of the target area. Therefore, accurate monitoring and visual display of the electromagnetic radiation of the base station are realized, so that the accuracy and reliability of electromagnetic radiation evaluation are improved, and the overall change rule of the electromagnetic radiation value of each position in the whole monitoring area can be visually observed.

The invention relates to the technical field of digital twinning, in particular to a flood disaster evolution method and system based on the digital twinning technology, and the method comprises the steps: collecting all point cloud data of a river basin terrain, constructing a three-dimensional terrain model, obtaining the reflection intensity and elevation data of each point cloud, clustering all point clouds corresponding to the ground, and obtaining a three-dimensional model; recording the areas where all point clouds corresponding to the ground in each cluster are located as local areas; and calculating a coplanar characterization value, an erosion evaluation value, an instability risk value, a soil fixation evaluation value and a terrain evolution factor of each local area, and constructing a digital twinborn simulation platform of the river basin terrain in combination with the three-dimensional terrain model to perform analog simulation on flood disasters. The defect that a static terrain model cannot respond to terrain evolution caused by flood disasters can be avoided, simulation errors generated by a digital twin simulation platform in the flood disaster evolution process are effectively reduced, and the accuracy of risk assessment of the flood disasters is improved.

The invention discloses a three-dimensional terrain construction method based on multi-modal semantic constraints, and relates to the technical field of three-dimensional terrain modelling, and the method comprises the steps: obtaining an optical remote sensing image and a digital earth surface model, constructing unified space reference data, and carrying out the joint semantic analysis of ground features under the guidance of the multi-modal semantic constraints; generating a semantic mask set with structural consistency; further performing regional geometric reconstruction on the digital earth surface model on the basis of a mapping relation between semantic categories and earth surface physical attributes to form a three-dimensional terrain entity conforming to ground feature space expression characteristics; meanwhile, by analyzing the project cost document and extracting the project cost data with spatial directivity, under the constraint of spatial consistency and semantic consistency, the project cost information and the three-dimensional topographic entity are subjected to association mapping, and finally a three-dimensional topographic data result fusing topographic geometric information and project economic attributes is formed.

The invention discloses a three-dimensional terrain rendering method and device based on mass terrain data, and belongs to the technical field of three-dimensional terrain rendering, and the method comprises the steps: S1, obtaining to-be-rendered terrain data, and carrying out the layering processing of the terrain data; s2, obtaining a three-dimensional topographic data set after hierarchical processing according to the rendering range of the rendering engine; s3, registering and rendering an engine data format conversion drive, and converting the three-dimensional topographic data in the three-dimensional topographic data set into 16-bit binary data; and S4, converting the 16-bit binary data into grids, converting the three-dimensional topographic data into Cartesian coordinates by referring to geographic coordinates, calculating the position and height of each node, and encoding grid data corresponding to a region needing to be rendered into a proper rendering format for rendering. The method is simple in operation, does not need complex data conversion, is high in expansibility, optimizes the aspects of data caching, data transmission, data compression and the like, further improves the rendering efficiency, and improves the smoothness of map interaction.

The embodiment of the invention relates to the technical field of geographic space platforms and visualization, and provides a forest fire spreading dynamic visualization simulation method and device, electronic equipment and a medium, and the method comprises the steps: obtaining image data and topographic data of a target region, and constructing a three-dimensional topographic scene; receiving a combustible point coordinate and a real-time meteorological parameter selected by a user, and configuring an initial fire behavior in the three-dimensional terrain scene based on the combustible point coordinate and the real-time meteorological parameter; performing periodic forest fire spreading calculation based on the configured initial fire behavior through a forest fire spreading algorithm to obtain simulated fire point data corresponding to each calculation period; generating flame particles and smoke particles corresponding to each calculation period based on the simulated fire point data corresponding to each calculation period; and sequentially rendering the flame particles and the smoke particles corresponding to each calculation period into a three-dimensional terrain scene, and carrying out real-time dynamic forest fire spreading visual simulation. Therefore, real-time forest fire spreading three-dimensional visualization with high precision and high trueness in the browser is realized.

The invention discloses a three-dimensional path multi-stage planning method for a low-altitude unmanned aerial vehicle. The method comprises the following steps: inputting a three-dimensional terrain model and a starting point of path planning; initializing a three-dimensional path based on a cubic B-spline curve, and constructing an optimization model; performing active subspace identification and space mapping on the optimization variable space; executing an improved particle swarm algorithm in the active subspace, and periodically rewarding optimal fitness particles in the population; performing multi-stage refinement on the optimized three-dimensional path, and executing mode search algorithm optimization on the encrypted path control points; and obtaining an optimized global optimal three-dimensional path.

The invention relates to a photovoltaic land slope stability partition evaluation method, which comprises the following steps that: an unmanned aerial vehicle flies in an oblique photography manner according to a path planning algorithm, and acquires an image and point cloud data of a slope region; correcting the collected images, including distortion removal, noise processing, image splicing, denoising, filtering and point cloud splicing of the point cloud data; creating a real three-dimensional terrain model by combining the texture information of the image and the height data of the point cloud, and extracting terrain height information from the point cloud data to generate a digital elevation model; performing feature extraction on the three-dimensional terrain model, and analyzing a stability index of the slope; establishing a slope stability evaluation model and performing zoning evaluation, performing stability zoning evaluation according to the feature data and the clustering result, and optimizing a zoning standard; and visualizing a slope stability partition result, generating a stability partition map and a report, establishing a dynamic monitoring system, and regularly using the unmanned aerial vehicle to repeatedly fly to obtain updated slope data.

The invention discloses a power grid unmanned aerial vehicle inspection method suitable for a complex terrain area, and the method comprises the steps: S1, obtaining the terrain point cloud data and image data of the complex terrain area, and forming a three-dimensional terrain model; s2, performing overlay analysis on the power grid layout information and the three-dimensional terrain model through a geographic information space analysis technology, and planning a flight route of the unmanned aerial vehicle; s3, performing routing inspection according to the flight route and an unmanned aerial vehicle power grid global coverage routing inspection technology to obtain original power grid image data; s4, transmitting the original power grid image data to a ground control station through a wireless communication link, and processing the original power grid image data through deep learning to obtain defect positions and types; and S5, generating an inspection report according to the position and the type of the defect, and pushing the inspection report to operation and maintenance personnel through network communication for equipment maintenance and fault processing. The problems of low efficiency, high labor cost, incomplete data acquisition and inaccurate defect identification in complex terrains are solved, and the efficiency and accuracy of power grid inspection are improved.

The invention provides a hydropower station reservoir area three-dimensional terrain modeling method and device based on multi-source data fusion, and relates to the technical field of three-dimensional terrain modeling, and the method comprises the steps: obtaining a multi-source data set containing point cloud data, image data, texture data and actual measurement data of a hydropower station reservoir area; preprocessing the multi-source data set to obtain a preprocessed data set; and according to the preprocessed data set, constructing a three-dimensional terrain model by using an improved Delou inner triangulation algorithm, a non-uniform rational B-spline surface reconstruction technology and a Laplacian smoothing operator. The geometric accuracy and the natural form of the three-dimensional terrain model can be remarkably improved.

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.

A method for previewing the terrain in front of an emergency rescue vehicle in a geometric feature degradation scene relates to the technical field of road surface recognition, realizes accurate alignment of LiDAR point cloud and IMU data through timestamp synchronization and linear interpolation, and combines a spherical projection model and a degradation perception complementary feature selection algorithm to realize the previewing of the terrain in front of the emergency rescue vehicle. Converting the three-dimensional point cloud into a robust intensity image and extracting gradient significant features; based on a double-observation secondary filter frame, a motion state is predicted by utilizing IMU forward propagation, a point cloud geometric residual error and an intensity image luminosity residual error are synchronously fused, timestamp deviation is compensated through back propagation, and a multi-source observation model under a global coordinate system is constructed. Finally, the error state is iteratively optimized to realize collaborative output of the high-precision odometer and the three-dimensional terrain map, and the problems of data asynchronism, feature degradation and dynamic interference in a complex scene are effectively solved.

The invention discloses an unmanned aerial vehicle dynamic path planning method and system based on artificial intelligence, and the method comprises the steps: collecting environment data in real time through a multispectral sensor and a laser radar carried by an unmanned aerial vehicle, and constructing a high-precision three-dimensional terrain grid map; s2, based on a deep learning image segmentation network, performing semantic segmentation on dynamic obstacles in the real-time video stream, and identifying moving vehicles, flying birds and sudden risk sources; s3, establishing a sudden risk source threat quantitative model: inputting a semantic segmentation result in the step S2 into a risk assessment LSTM network, and generating a real-time threat coefficient matrix of a dynamic obstacle in combination with wind speed and visibility meteorological data; the distributed decision is realized through a federated edge computing architecture, so that the path updating frequency is improved to 5Hz, the formation control delay is greatly reduced, and the out-of-control rate compression of a complex urban scene is relatively low.