55 results about "3d terrain" patented technology

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 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 relates to the technical field of traffic control systems, in particular to a traffic energy efficiency control system integrating three-dimensional topographic surveying and mapping and vehicle-road cooperation, which comprises a three-dimensional road network topographic sensing module, a road side unit and a vehicle-mounted unit, a vehicle position and speed information and original point cloud data of a surrounding environment are received by the three-dimensional road network topographic sensing module; and giving gradient and curvature coordinates to each road section in the road network, and generating a vehicle terrain association topological graph. According to the method, quantitative assignment of road gradient and curvature coordinates is realized by fusing vehicle position, speed information and spatial geometric description established by point cloud, and a mapping relation is established between topographic elements and a vehicle running state, so that a vehicle path and topographic attributes are synchronously linked. In the emergency response, the slope angle and the driving direction angle of the affected vehicle are used for constructing an energy consumption priority sequence, and evacuation path selection under the energy efficiency dimension is completed from the motion relation between the vehicle and the road.

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 invention relates to the technical field of deep space exploration visual three-dimensional terrain reconstruction error analysis, in particular to a visual three-dimensional terrain reconstruction error modeling method and system for a Mars patroller. In view of the limitation of the Mars surface environment and the existing error analysis method, the purpose of improving the three-dimensional reconstruction precision is achieved. Technically, the method comprises the following steps: sparsely reconstructing a covariance propagation model based on bundle adjustment, processing a camera imaging equation, carrying out re-projection error calculation and optimization, carrying out nonlinear least square algorithm iterative solution and the like to obtain a camera attitude, a three-dimensional point position parameter and a covariance matrix of the three-dimensional point position parameter; densely reconstructing a covariance propagation model based on linear triangularization, and calculating a three-dimensional point coordinate covariance matrix through equation conversion, least square solution and covariance propagation formula derivation. The experiment simulates the Mars environment to obtain simulation data for dense reconstruction error analysis, and the result shows that the method can effectively analyze errors, significantly improve the three-dimensional terrain reconstruction precision, and powerfully guarantee Mars detection and navigation tasks.

The invention relates to the technical field of hydraulic engineering, and discloses a reservoir capacity curve high-precision calculation method and system based on a three-dimensional model, and the method comprises the steps: carrying out the self-adaptive sampling and optimization of original terrain data, constructing a three-dimensional terrain surface model, carrying out the self-adaptive discretization grid division, and carrying out the volume analysis error correction. And high-precision reservoir capacity estimation is realized. A data integrity detection and repair mechanism is introduced, the calculation efficiency is improved by combining a parallel processing technology, and the result reliability is ensured by adopting cross validation. Meanwhile, a three-dimensional visual model is generated, layered display of topographic features is realized, a topographic change adaptability analysis function is realized, and a capacity calculation result can be dynamically updated. According to the method, the accuracy and efficiency of reservoir capacity calculation are remarkably improved, and reliable data support and a visual visualization tool are provided for hydraulic engineering planning and management.

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.

The present invention proposes a method for reconstructing the 3D topography of a virtual grinding wheel based on matrix convolution operation, which reconstructs the grinding wheel topography by convolution of a digital filter matrix and a random matrix. The actual grinding wheel topography is collected by a 3D optical profilometer and statistically analyzed. Statistical parameters such as mean value, standard deviation, skewness and kurtosis are used to quantitatively analyze the distribution law of the grinding wheel topography height data. The protruding abrasive particles on the grinding wheel surface are extracted, and the shape of the abrasive particles is statistically analyzed. The abrasive particles after statistics are used as a filter function and convolution calculation is performed with a random matrix to realize the reconstruction of the random grinding wheel topography. The actual collected grinding wheel topography is used as a reference for reconstructing the virtual grinding wheel topography. For the grinding wheel topography at different wear stages, the Johnson transformation is used to transform and calculate the grinding wheel topography digital matrix. The present invention solves the problem of poor consistency between the reconstruction of virtual grinding wheel topography and the actual grinding wheel topography, and improves the accuracy of the reconstruction of the grinding wheel topography.

A multi-vehicle combination configuration iterative optimization method for outdoor terrain includes the following steps: (1) obtaining elevation map environment information and establishing a 3D terrain model; calculating the height difference between two adjacent points in the map; determining attributes and categories through feature analysis, generating corresponding sparse semantic maps, extracting detailed obstacle parameters, and obtaining accurate map matrix information; (2) obtaining the initial path; (3) encoding the configuration and determining the association matrix; the unique association matrix corresponds to the unique configuration; (4) performing a genetic algorithm; (5) displaying the configuration in a MATLAB visual GUI interface. This method combines a pre-set objective function and iterates multiple times to find a set of values ​​with the highest fitness to obtain the best unique configuration. This method improves the previous problems of incomplete map data processing, non-optimal optimal path, non-optimal configuration, and weak obstacle crossing ability. It aims to pass through complex terrain smoothly, energy-saving, safely, and quickly, laying the foundation for subsequent control movement.

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.

The invention discloses a three-dimensional terrain modeling method based on regional adaptive important point extraction, which comprises the following steps of: reading a digital elevation model image, and setting coordinate conversion parameters; calculating an optimal analysis window of the topographic relief degree of the digital elevation model image, dividing the digital elevation model into a plurality of areas, and calculating the average topographic relief degree of the digital elevation model image and the topographic relief degree of each area; taking the average topographic relief as a judgment threshold, and setting a standard value of a dynamic threshold; extracting a TIN point set of each region by adopting a VIP algorithm feature extraction window, identifying important points of the ground undulation degree, and converting coordinates; and constructing an irregular triangulation network for the important points after coordinate conversion, endowing a triangular patch with gradient colors according to the elevation grade of the point set, and performing precision evaluation. According to the method, the key terrain feature points can be accurately extracted, the three-dimensional model conforming to the actual terrain is constructed, and the applicability of the method under various terrain conditions is improved.

The invention provides a differential interference SAR constellation three-dimensional surface deformation field measurement precision analysis method and system, and the method comprises the steps: inputting the orbital elements and load observation capabilities of all satellites in a constellation, and setting a to-be-analyzed observation region; simulating and calculating the observation time of each satellite in the observation area to be analyzed in a strict regression period; calculating observation sight vectors of the satellites to the simulation grid points in the observation area; analyzing and estimating the sight deformation measurement precision of each satellite to the observation area; and establishing an observation equation, and analyzing and estimating the three-dimensional deformation measurement precision of the whole constellation on the observation area. According to the method, the problem of differential interference SAR constellation three-dimensional surface deformation monitoring precision analysis is successfully solved, and important technical support can be provided for construction of a subsequent differential interference SAR surface deformation monitoring system.

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.