46 results about "3d terrain" patented technology

The embodiment of the invention discloses a three-dimensional landform model reconstruction method and device based on geometry and texture combination. A specific embodiment of the method comprises the following steps: carrying out self-adaptive grid division on a landform three-dimensional point cloud and then carrying out geometric super-resolution to obtain a target three-dimensional landform sub-grid; performing color texture mapping and texture correction enhancement on the target three-dimensional landform sub-grids to obtain an enhanced landform texture map; performing collaborative bidirectional optimization on the enhanced landform texture map and the target three-dimensional landform sub-grids to obtain a super-resolution landform texture map and a super-resolution three-dimensional landform sub-grid; performing model recombination and fusion on the plurality of super-resolution landform texture maps and the plurality of super-resolution three-dimensional landform sub-grids to obtain a three-dimensional texture landform grid model; and performing density control reconstruction processing on the three-dimensional texture landform grid model to obtain a three-dimensional density texture landform model, and storing the three-dimensional density texture landform model. According to the embodiment, the quality of the three-dimensional density texture landform model can be improved, and waste of storage resources is reduced.

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 relates to a quadruped robot parkour navigation method and system based on multi-modal feature fusion, and the method comprises the steps: constructing a multi-modal parkour topographic data set which comprises a depth image, body feeling information and a control instruction; encoding the depth image sequence and the body sensing sequence of the historical time step to obtain space-time fusion features; encoding the control instruction and the corresponding target position vector to obtain a historical decision feature; encoding a depth image collected at the current moment to obtain fine spatial features; fusing the space-time fusion feature, the historical decision feature and the fine space feature to form a conditional context; and based on the diffusion strategy model, by taking the conditional context as a condition, carrying out de-noising processing, and generating a navigation control instruction so as to complete a parkour navigation task. Compared with the prior art, the method has the advantages that the navigation success rate is high, path planning is diversified, complex 3D terrains can be effectively processed, and the problem that high-level planning and bottom-level motion control are disjointed is solved.

The invention discloses a rotor unmanned aerial vehicle hazardous substance identification management method and system for complex terrains, and belongs to the technical field of unmanned aerial vehicle monitoring. The system comprises a three-dimensional model generation module, a hovering point acquisition module, a data acquisition module, a hazardous substance identification module, a hazard grade sorting module and a data management module. According to the invention, a three-dimensional terrain model is generated in real time through a terrain complexity quantification algorithm, so that a hovering detection point is dynamically selected on an optimal cruise path through a preset path planning algorithm; visible light, infrared and acoustic multi-mode data are synchronously collected at a hovering point, and feature vectors of hazardous substances are extracted through YOLOv7 network fusion; according to the method, the detection coverage area is expanded under the complex terrain, the identification confidence is improved, the emergency response time is shortened, and the problems that the detection blind area is expanded, the identification confidence is reduced and the response time is prolonged under the complex terrain are solved.

The invention relates to a method for determining the position and / or orientation of tools of construction machines in a construction area, comprising the steps of: attaching at least one stereo camera to at least one construction machine or to a movable carrier, such that the stereo camera can detect at least one detection region within the construction area, preferably a working region of the construction machine, providing at least one reference point, the position of which is known relative to a predefined 3D world coordinate system and which can be recognised in the images of the stereo camera, in the detection region of the at least one stereo camera, calibrating the at least one stereo camera on the basis of the detection of the at least one reference point and triangulation in order to ascertain a transformation between the 3D world coordinate system and a 2D image coordinate system of the at least one stereo camera, preparing a virtual digital 3D terrain model of the construction area by means of digital image processing, in particular stereoscopy, and image recognition on the basis of the detection of the construction area by means of the at least one stereo camera, and representing predetermined working positions and detected actual tool positions and / or actual tool inclinations of the tool of the at least one construction machine in the virtual digital 3D terrain model.

The invention provides a multi-source GIS data fusion and three-dimensional terrain construction method based on a streaming mode, and relates to the technical field of terrain construction, and the method comprises the steps: collecting multi-source GIS data, carrying out the fusion of the multi-source GIS data according to a streaming data processing architecture, obtaining the basic terrain data, and generating the three-dimensional terrain data. And constructing a three-dimensional terrain model according to a top layer reconstruction technology and the three-dimensional terrain data, and repairing geometric holes based on Poisson surface reconstruction and an improved ICP algorithm to obtain an optimized terrain model. And issuing the optimized terrain model to a GIS platform and matching the optimized terrain model with a mobile terminal, and carrying out lightweight processing and cross-platform deployment through edge calculation. According to the method, the defects of efficiency, precision and real-time performance of a traditional method are overcome, the data fusion efficiency is improved, and the constructed three-dimensional terrain model has high integrity, high reality sense and efficient deployment capacity.

The present invention relates to the technical field of traffic control systems, specifically to a traffic energy efficiency control system that integrates three-dimensional terrain mapping and vehicle-road collaboration. The system includes: a three-dimensional road network terrain perception module that receives vehicle position, speed information and original point cloud data of the surrounding environment through a roadside unit and an on-board unit, assigns slope and curvature coordinates to each road section in the road network, and generates a vehicle-terrain correlation topology map. In the present invention, by integrating the spatial geometric description established by the vehicle position, speed information and point cloud, quantitative assignment of road slope and curvature coordinates is achieved, and a mapping relationship is established between terrain elements and vehicle operating status, so that the vehicle path and terrain attributes are synchronously linked. In the emergency response, the slope angle and driving direction angle of the affected vehicle are used to construct an energy consumption priority sequence. Starting from the motion relationship between the vehicle and the road, the evacuation path selection under the energy efficiency dimension is completed.

1. Name of the product in this design: Graphical User Interface for Displaying Test Results in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface displayed in the electronic device. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram 1. 5. The hardware design is a conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: This graphical user interface is used to display and locate detection results, etc. Design 1's main view is the primary interface, with a circular icon control with a lightning shield displayed in the upper right corner. Design 1's interface change state diagram 1 shows the interface state obtained after clicking the circular icon control in the main view of Design 1, with multiple "location" controls displayed at the bottom of the interface. Design 1's interface change state diagram 2 shows the interface state obtained after clicking any of the "location" controls in Design 1's interface change state diagram 1, which highlights the corresponding location area on the 3D terrain map. Design 2's main view serves as the primary interface. Design 3 uses the main view as the primary interface to display the detection results. The main view of the design is the first interface, used to display the location results of the detection results. The map background (i.e., the three-dimensional topographic map background) in Designs 1 to 4 does not constitute part of the claimed design, and it represents the area as the content screen. The areas (i.e., multiple positioning areas) obscured by color blocks within the background of the three-dimensional topographic map in Designs 1 to 4 do not constitute part of the protected appearance design, and the areas referred to therein are content images.

This invention discloses a three-dimensional terrain construction method based on multimodal semantic constraints, belonging to the field of three-dimensional terrain modeling technology. This method acquires optical remote sensing images and digital surface models and constructs unified spatial reference data. Guided by multimodal semantic constraints, it performs joint semantic parsing of ground features to generate a set of semantic masks with structural consistency. Furthermore, based on the mapping relationship between semantic categories and surface physical attributes, it performs regional geometric reconstruction of the digital surface model to form three-dimensional terrain entities that conform to the spatial expression characteristics of ground features. Simultaneously, by parsing engineering cost documents and extracting spatially oriented engineering cost data, under spatial and semantic consistency constraints, it associates and maps engineering cost information with three-dimensional terrain entities, ultimately forming a three-dimensional terrain data result that integrates terrain geometric information and engineering economic attributes.

This invention provides a web-based method for constructing a transition material model for dam filling, relating to the field of model building. It solves the problem of creating a transition material model for dam filling. The method utilizes a web-based approach to create the transition material model, establishing a 3D terrain foundation model of the dam and employing Boolean algorithms to generate the transition material model. This rapidly generates a transition material model that accurately reflects the actual terrain, facilitating subsequent applications and maximizing the value of BIM models. It also addresses the challenges of creating models for complex and special parts such as dam filling transition materials, playing a crucial role in supporting and guiding construction using BIM models.

The invention relates to the technical field of three-dimensional geographic modeling, in particular to a land utilization planning auxiliary method and system based on a 3D terrain model, and the method comprises the following steps: obtaining point cloud and elevation information, converting the information into a terrain curved surface, discretizing the information into a voxel grid, analyzing a planning index, converting the planning index into a geometric constraint boundary, and traversing to construct a planning voxel field. Calculating earthwork digging and filling requirements and sunshine hours to generate an evaluation matrix, correcting the building voxel distribution and finely adjusting the terrain elevation. According to the method, terrain refined expression is realized by using an octree segmentation algorithm, indexes such as a plot ratio are converted into three-dimensional space geometric constraints, site suitability is evaluated through connectivity analysis, and building layout and earthwork balance are automatically optimized by adopting morphological operation, so that the problems of lack of space intuition and error accumulation in traditional two-dimensional planning are solved; the planning calculation precision and decision scientificity under the complex terrain are remarkably improved, and dynamic adjustment and visual expression of the scheme are achieved.

This invention relates to the field of aviation navigation and simulation technology, specifically disclosing an airborne scene-terrain matching assisted navigation method and a highly realistic simulation platform. The method involves acquiring measured terrain information via an airborne camera, and collecting SAR image information, altimeter and atmospheric sensor information via radar. A matching algorithm between the camera terrain and radar images is used to match the measured data with pre-stored information, outputting the position correction error for inertial navigation to achieve inertial navigation correction. Even in complex electromagnetic environments without satellites or in electromagnetic silence, combined inertial navigation and matching navigation can still be achieved, ensuring stable flight of the aircraft. Simultaneously, a highly realistic 3D visual simulation platform is constructed, including a digital aircraft, flight control law, inertial navigation, 3D terrain, and various airborne equipment, providing full-process simulation support for the design, implementation, and testing of airborne scene-terrain matching assisted navigation systems. This invention solves the problem of aircraft navigation relying on satellites in complex electromagnetic environments, improves the anti-interference and reliability of navigation, and the simulation platform can effectively reduce the R&D and testing costs of navigation systems and improve R&D efficiency.

This invention provides a method for rapidly constructing dam filling compartment models via a web-based platform, relating to the field of model building, and solving the problem of rapid batch creation of dam filling compartment models. By establishing a 3D terrain model of the dam and using Boolean algorithms to obtain the left and right bank boundary lines of the dam filling model, the method enables the creation of dam filling compartment models via a web-based platform. It supports direct batch creation of dam filling compartment models, changing the traditional dam compartment planning method and achieving the goal of rapidly and flexibly adjusting compartment planning schemes. This method improves the foresight and error tolerance of dam filling compartment planning to a certain extent, fully leveraging the convenience and advantages of digital applications. This invention is used for creating dam filling models via a web platform.

The invention relates to the technical field of unmanned aerial vehicle landing, and discloses an unmanned aerial vehicle precise landing device which comprises a landing platform, four connecting sleeve blocks are fixedly connected to the outer side of the landing platform, supporting rods are slidably connected to the centers of the four connecting sleeve blocks, springs are fixedly connected to the bottom sides of the four connecting sleeve blocks, and the supporting rods are fixedly connected to the bottom sides of the four connecting sleeve blocks. According to the device, through a multi-sensor fusion positioning and closed-loop control algorithm, centimeter-level precise landing can be achieved in a complex environment, and accidents such as collision and rollover of the unmanned aerial vehicle caused by landing deviation are effectively avoided; the device completely gets rid of the dependence on the GPS through the combination of technologies such as visual positioning (two-dimensional code / AR label identification), laser radar (three-dimensional terrain construction) and the like. Therefore, the unmanned aerial vehicle can play a role in more scenes; due to full-process automatic control (from approaching to landing to touching the ground to close the motor, manual intervention is not needed) of the device, and dependence on professional operators is greatly reduced.

The application relates to a kind of four-legged robot parkour navigation method and system based on multimodal feature fusion, method includes: constructing multimodal parkour terrain dataset, including depth image, proprioceptive information and control instruction;The depth image sequence and proprioceptive sequence of historical time step are encoded, to obtain spatiotemporal fusion feature;Control instruction and corresponding target position vector are encoded, to obtain historical decision feature;The depth image collected to current time is encoded, to obtain fine spatial feature;Spatiotemporal fusion feature, historical decision feature and fine spatial feature are fused, to form conditional context;Based on diffusion strategy model, with conditional context as condition, denoising is carried out, and navigation control instruction is generated, to complete parkour navigation task.Compared with prior art, the application has the advantages of high navigation success rate, path planning diversity, effective processing of complex 3D terrain, overcoming the problem of disconnection between high-level planning and low-level motion control, etc.

This invention provides a method and system for fitting and creating smooth, non-uniform rational B-spline 3D terrain entities, primarily applied in pumped storage power station engineering, achieving efficient conversion from 2D contour lines to smooth terrain entities. The method involves establishing a triangular mesh surface, specifying boundaries, converting DEM data, creating a raster surface, extracting control points, and fitting NURBS curves along the UV direction to ultimately generate a NURBS terrain entity. The process involves converting contour lines to DEM data and creating a raster surface; extracting control points and fitting NURBS curve sets along the U / V directions; and forming a complete NURBS 3D terrain entity by enclosing the surface surface, bottom plane, and four side surfaces. This invention allows for on-demand adjustment of terrain accuracy, the generated entity can be directly used for CAE simulation calculations, and can be combined with panel dam zoning calculation algorithms to improve engineering design efficiency.

The invention provides an unmanned aerial vehicle ground-imitating flight operation method and device based on 3D terrain perception and an interaction method, and the operation method comprises the steps: planning a flight route task of ground-imitating flight on ground station software, and obtaining the longitudes and latitudes and heights of all waypoints; determining a flight area according to the waypoint, and downloading a corresponding elevation data tif file; the packaging function is used for acquiring the corresponding terrain height according to the latitude and longitude of the flight area; segmenting the route to obtain a plurality of waypoints and longitudes and latitudes thereof, calling a packaging function to obtain a corresponding terrain height, and drawing a 3D terrain effect on the route of the route; uploading a route to a flight control, requesting elevation data of a specified area where a sampling point is located by the flight control, and responding a corresponding terrain height to the flight control by ground station software by calling a packaging function; and the flight controller executes a route task according to the returned terrain height and the preset height of the simulated flight. According to the method, the three-dimensional terrain perception capability and the interaction capability can be dynamically created on the map software.

The invention relates to a method for determining the position and / or orientation of a tool of a construction machine in a construction area, comprising the following steps: attaching at least one stereo camera to at least one construction machine or a movable carrier, such that the stereo camera can detect at least one detection area, preferably at least one detection area within the construction area; the working area of the construction machine provides at least one reference point in the detection area of the at least one stereo camera, the position of which is known with respect to a predefined 3D world coordinate system and which can be distinguished in the image of the stereo camera. Calibrating the at least one stereo camera on the basis of the detection and triangulation of the at least one reference point in order to ascertain a transformation between a 3D world coordinate system and a 2D image coordinate system of the at least one stereo camera, and calibrating the at least one stereo camera on the basis of the detection of the construction region by means of the at least one stereo camera in order to ascertain the transformation between the 3D world coordinate system and the 2D image coordinate system of the at least one stereo camera. A virtual digital 3D topographic model of the construction region is prepared by means of digital image processing and image discrimination, in particular the digital image processing is stereoscopic, and representing a predetermined working position of a tool of the at least one construction machine and the detected actual tool position and / or actual tool tilt in the virtual digital 3D terrain model.

This invention discloses a method and system for designing a spatiotemporal database of land value, applied in the fields of spatial geographic information data processing and image correction technology. The method involves acquiring spectral remote sensing image data; performing geographic coordinate matching on the spectral remote sensing image data to generate coordinate spectral remote sensing image data; digitally rasterizing the spectral remote sensing image data using a digital elevation model to generate point cloud data; performing 3D reconstruction based on the point cloud data to obtain a 3D terrain model; performing boundary region reconstruction processing on the 3D terrain model to obtain a reconstructed model; extracting ground features from the reconstructed model to obtain ground feature data; and constructing a spatiotemporal database by spatiotemporally indexing the ground feature data. This method can correct the brightness of edge defects of interval-type and linear ground features based on predicted brightness changes, significantly reducing grayscale distortion in 3D images and eliminating blurring caused by interference.

The invention discloses a self-installation method and system for a heavy freight cableway support based on intelligent control, and relates to the technical field of intelligent regulation and control construction, and the method comprises the following steps: determining the position of a support base and planning an installation path based on three-dimensional terrain modeling and stress analysis; under the constraint of the installation path, a temporary traction system is arranged, and initial tension is set; on the basis of the temporary traction system, support module self-installation and tension self-adaptive adjustment are executed, and a support system with balanced stress is formed; and mounting a bearing cable and a traction cable on a bracket system with balanced stress, and carrying out performance verification. The method is used for solving the problems of low cableway bracket mounting precision, poor efficiency and high safety risk in complex terrains.

This application relates to the field of neural network technology, and in particular to a multi-objective intelligent 3D road alignment method and system based on deep reinforcement learning. The proposed scheme involves acquiring 3D terrain data and geographic information data of the candidate route area and constructing a 3D environment dataset. Combined with road design specification parameters, multi-channel input parameters are generated, including the terrain forward profile, longitudinal feasible envelope, and cut-fill pressure difference. Based on these input parameters, the decision-making agent iteratively generates multiple candidate road centerlines in the 3D alignment environment. Furthermore, by comprehensively evaluating candidate routes using multi-dimensional indicators such as engineering cost, ecological avoidance, and alignment smoothness, multi-objective ranking and scheme selection are achieved. This application can proactively perceive engineering constraints and cost trends during the alignment process, improving the feasibility and scheme diversity of 3D road alignment under complex terrain conditions.

This invention relates to the field of geographic information technology, specifically a UAV dynamic image and 3D terrain overlay projection system based on real-time streaming for emergency command. The system includes a data acquisition and encapsulation module, a streaming and analysis module, a viewpoint positioning module, a projection calculation module, a texture mapping module, and a spatial inversion module. It acquires real-time dynamic images, spatial location, and camera attitude data from the UAV, encapsulates them into a synthetic video stream, and streams it to a geographic information client for analysis. The system locates the UAV's observation origin, calculates the image projection boundary to generate a dynamic projection area, and maps the image to a 3D terrain dynamic image layer. Based on the pixel coordinates of the ranging start and end points in the dynamic image layer, the local elevation values ​​of the 3D terrain data, and the camera attitude data, it performs spatial inversion on the surface curve distance between the ranging start and end points to obtain real-time situation measurement data for the geographic information client. This invention can improve the efficiency of emergency situation awareness.

This invention relates to the field of marine geological 3D visualization technology, specifically disclosing a marine geological VR 3D visualization simulation system that integrates panoramic real-world footage. The system includes a visualization simulation platform, which is communicatively connected to the following modules: a coordinate mapping and alignment module, used to precisely align the spherical UV coordinates of the panoramic real-world footage with the terrain world coordinate system in Unity3D through inverse projection transformation using a unified virtual-real coordinate mapping algorithm, and to smooth the parallax jumps during head rotation using quaternion interpolation. This invention precisely aligns the spherical UV coordinates of the panoramic real-world image with the 3D terrain world coordinate system using a unified virtual-real coordinate mapping algorithm, and uses quaternion spherical linear interpolation to smoothly transition the parallax changes during head rotation, eliminating the visual disconnect between the panoramic background and the 3D terrain, and ensuring the continuity and stability of spatial perception when the user's perspective changes.

This invention provides a method, apparatus, computer equipment, and medium for estimating solar resources in a photovoltaic power station, belonging to the field of photovoltaic power generation. The method includes: acquiring aerial photographs of a photovoltaic power station in a target area with complex terrain; reconstructing a 3D point cloud based on a structure-reconstruction-motion algorithm; performing 3D terrain reconstruction and 3D photovoltaic module reconstruction based on the reconstructed 3D point cloud; constructing a 3D scene of the photovoltaic power station and setting the spectral attributes of scene elements; dynamically adjusting the solar zenith angle and azimuth angle parameters to simulate the transmission process of downward solar radiation in the 3D scene, and outputting the absorptive photosynthetically active radiation value at the photovoltaic module level; and determining the impact of terrain shading on the light-receiving efficiency of the photovoltaic modules based on multiple instantaneous simulations. This effectively quantifies the impact of terrain shading on the light-receiving efficiency of photovoltaic modules, thereby significantly improving the estimation accuracy of solar irradiance and power generation for mountainous photovoltaic power stations.

In the design of various structures, this system enables the automatic generation of flags that reflect the attribute information of the structure included in the 3D model. [Solution] The automatic calculation device 1 includes a 3D model acquisition unit 10a that acquires a 3D terrain model and a 3D plan model representing the current terrain and plan, and a 3D structure model representing the structure; an attribute information acquisition unit 10b that acquires attribute information of the structure included in the 3D structure model and attribute information of the structure input from the user; an automatic drawing unit 10c that automatically draws flags based on the attribute information acquired by the attribute information acquisition unit 10b; and a display unit 11 that displays the flags drawn by the automatic drawing unit 10c together with the shape of the structure model.

The invention relates to the technical field of three-dimensional terrain reconstruction, and discloses a high-precision three-dimensional terrain reconstruction method based on deep learning. The method comprises the following steps: firstly, constructing a final image preprocessing model based on a neural network and an attention mechanism, identifying and removing an interference region, and outputting an interference-removed three-dimensional topographic image set; secondly, performing point cloud matching on the interference-removed three-dimensional topographic image set to generate a three-dimensional topographic point cloud data set, identifying coincident point cloud data in the three-dimensional topographic point cloud data set, determining topographic features to construct a three-dimensional model, and generating an initial three-dimensional topographic model; detecting and deleting discrete points in the initial three-dimensional terrain model, and simplifying the point cloud data by using a three-dimensional grid method to obtain a simplified three-dimensional terrain model; and finally, solving the color of the point cloud data in the simplified three-dimensional terrain model, and coloring the three-dimensional terrain. According to the method, the point cloud data is processed and modeled, the purpose of high-precision three-dimensional terrain reconstruction is achieved, and the method is objective and accurate.

In various examples, path-based terrain texture generation for simulation environment systems and applications are provided. In some embodiments, a terrain surface tiling processor produces a textured terrain that may be shared with any number of ego agents operating within a simulation environment. The terrain surface tiling processor may receive map data defining structured navigable pathways within the simulation environment and generate a quadtree structure that instantiates mesh tiles based on a function of distance from pathway structures corresponding to the navigable pathways. Based on the quadtree structure, a simulation platform may render texture nodes that display a highest density image at distances closest to a pathway structure, and increasingly lower density texture images as a function of increasing distance from the pathway structure. The texture of the 3D terrain may be rendered by applying a texture image from a layer of a mipmap to nodes of each quadtree mesh tile.

This invention discloses a method and system for 3D terrain detection in off-road scenarios based on UAV (Unmanned Aerial Vehicle) collaborative air-ground approach. The method includes: a vehicle-mounted terminal planning the target driving area and issuing terrain detection commands to the UAV; the UAV collecting obstacle information and multi-source terrain data within the area, fusing and processing these data to generate and transmit a 3D sparse terrain model; and after detection, deep fusion data generating and transmitting a high-precision 3D terrain model. The vehicle-mounted terminal integrates the two models to form hierarchical terrain data, performs visual segmentation on the high-precision model, extracts terrain feature parameters, determines risk levels, and identifies and visualizes terrain risks and passable areas. This method utilizes the UAV's aerial perspective to eliminate blind spots in vehicle-mounted perception, accurately captures 3D information of off-road terrain, improves the comprehensiveness and accuracy of detection, provides a reliable basis for driving decisions, and effectively avoids safety risks during off-road driving.

This invention provides a method for accurately constructing a dam filling compartment model based on a web-based platform. It addresses the limitations imposed by desktop BIM design software's modeling principles during dam filling, which severely restricts model size, application scenarios, and model reusability, hindering accurate compartment model creation. This invention utilizes the offset φ of the left and right bank boundary lines of the web-based dam filling compartment model to form a closed-body model. Boolean operations are then performed between this closed-body model and the 3D terrain foundation model and dam shell model to obtain an accurate compartment model for the left bank dam filling. This model is lightweight, occupies little data space, and is more flexible and faster when adjustments to the planning scheme are needed. It meets the requirements for refined control of compartment model planning during on-site dam filling and achieves rapid, batch, and accurate modeling under the high-intensity, fast-paced conditions of on-site dam filling construction. This invention is used for dam filling compartment models.

This invention discloses a method and system for generating 3D terrain registration profiles and interactive situational awareness data using airborne cloud radar, relating to the field of airborne cloud radar application technology. The method acquires real-time aircraft position and attitude, cloud radar per-detection-unit data, 3D terrain data, and external airspace data; maps multi-source data to a unified time reference and establishes a cache queue; constructs a four-level transformation model from the cloud radar coordinate system through the aircraft coordinate system, local navigation coordinate system to the geographic coordinate system or 3D terrain coordinate system; interpolates attitude parameters for each effective detection unit according to the sampling time, completing point-by-point or group attitude compensation and spatial registration; constructs 3D cloud bodies, terrain, aircraft, flight paths, and airspace objects and overlays them to form a 3D main view; generates cutting planes and section views, achieving bidirectional linkage positioning between the main view and section views; supports multi-view switching, target attribute viewing, and highlight display interaction. This invention solves the problems of cloud body drift and spatial interpretation difficulties, improving the efficiency of flight situational awareness.