37 results about "Terrain elevation" patented technology

A kind of based on four-wheel independent drive chassis's harvesting platform terrain simulation adjusting system and method belong to intelligent agricultural machinery technical field.Aiming at the problem that existing platform is difficult to adapt to complex terrain, the mapping relationship of vehicle pose, terrain elevation function and platform space posture is constructed in unified ground coordinate system, data is acquired in real time by terrain information acquisition module and vehicle posture measurement unit, three degrees of freedom adjustment of platform lifting, pitching and roll are realized by double independent electric push rod through coordinate transformation and geometric inverse solution.The system includes mobile platform, hanging module, harvesting and conveying module, collecting device and controller.The invention realizes high-precision profiling control under complex terrain such as hills and slopes, maintains constant ground clearance and set posture angle, significantly improves harvesting quality and operation safety.

The application relates to the field of meteorological data processing and satellite navigation application, and provides a multi-source meteorological data fusion method and system based on a Beidou space-time reference. The method comprises the following steps: acquiring Beidou data and multi-source meteorological data to be fused, taking the coordinated universal time timestamp output by a Beidou ground-based enhancement station as a global time reference, and setting a sliding window; taking the world geodetic coordinate system corresponding to the Beidou positioning data as a space reference, resampling the multi-source meteorological data to a preset standard grid, and combining terrain elevation data to construct a unified space coordinate system; calculating the confidence degrees of fused static terrain features and dynamic change features based on Beidou satellite orbit residual and clock difference parameters, adjusting the feature weights of the fused static terrain features and dynamic change features, and generating an enhanced fusion feature matrix.

The application discloses a 4D video generation method fusing monocular vision and terrain elevation data, comprising the following steps: acquiring video frame images and corresponding camera pose data collected by a monocular camera; acquiring terrain elevation data of a target area, and constructing a three-dimensional elevation network model; based on the camera pose data, establishing a ray projection model for pixels in the video frame images, calculating the intersection of the rays and the three-dimensional grid model, and obtaining the reference distance from the monocular camera to the ground surface corresponding to the pixels; generating an initial relative depth map of the video frame images by using a depth estimation model; selecting high-confidence ground pixels from the video frame images as reference points, taking the reference distance corresponding to the reference points as the true value, and performing absolute scale correction on the initial relative depth map to obtain an absolute depth map; performing back projection calculation on the absolute depth map, the camera pose data and pixel color information to generate a three-dimensional point cloud, mapping the three-dimensional point cloud to a real geographic coordinate system, and generating 4D video data in time sequence.

This invention relates to the field of digital simulation technology, specifically to a method for three-dimensional visualization modeling of natural resources based on digital twins. The method includes: constructing a discrete computational map based on a real-world three-dimensional model of the target area and geographic information system (GIS) data; projecting the design base of the building information model (BIM) onto the discrete computational map to determine design boundary nodes; performing constraint propagation calculations on the discrete computational map using the design boundary nodes as propagation starting points to determine the cumulative compliance consumption and cumulative horizontal projection distance of each node in the discrete computational map; determining the topology type of each node based on its cumulative compliance consumption, cumulative horizontal projection distance, original terrain elevation, and preset engineering slope parameters; and geometrically reconstructing the discrete computational map based on the topology type of each node to generate a digital twin model that integrates the BIM and the real-world three-dimensional model. This invention simultaneously achieves automatic compliance avoidance and structural closure generation of the slope model.

This invention provides a method and system for a legged robot to traverse terrain, relating to the field of robot control technology. The method includes: acquiring multi-source sensor data of the legged robot; performing prediction and rolling inference based on the multi-source sensor data to obtain the predicted terrain elevation and terrain traversability of the legged robot at a preset future time step, as well as the robot's body state, foot contact sequence, slip risk sequence, and ground interaction parameters at the preset future time step; and using the above parameters to generate a local terrain representation and uncertainty of the legged robot within a preset foot region; generating joint control commands for the legged robot based on the local terrain representation and uncertainty of the preset foot region, and driving the legged robot to walk according to the joint control commands. This invention improves the reliability of legged robots in visually limited scenarios.

This invention discloses an atmospheric error correction method and system for wide-area synthetic aperture radar interferometry, relating to the field of synthetic aperture radar technology. The method includes: acquiring unwrapped differential interferograms generated from multiple SAR images; establishing and applying a first mathematical model based on the phase values ​​of each pixel in the differential interferogram and the corresponding terrain elevation values ​​to remove terrain-related vertically layered atmospheric phases, obtaining a first intermediate result; applying a spatiotemporal joint filter to the first intermediate result to separate and remove random atmospheric phases caused by atmospheric turbulence, obtaining a second intermediate result; and establishing and applying a second mathematical model to the second intermediate result for fitting correction to remove residual systematic error phases, obtaining the atmospherically corrected phase. Through the technical solution of this invention, the accuracy, spatial consistency, and temporal stability of the atmospherically corrected phase are improved, enhancing the reliability of subsequent deformation monitoring results.

This application belongs to the field of power system disaster prevention technology, and provides a method, device, electronic equipment, and storage medium for predicting icing areas. The method includes: acquiring atmospheric reanalysis datasets, site observation datasets, and terrain elevation datasets; preprocessing and filtering icing elements in the above data to obtain data based on freezing rain and climate fusion datasets, terrain feature tensors, and icing element data; inputting the obtained data into a pre-trained terrain adaptive convolutional network Monte Carlo random deactivation model, outputting the average probability of freezing rain and the standard deviation of uncertainty; inputting the average probability of freezing rain, the standard deviation of uncertainty, 10-meter high wind speed, wet-bulb temperature, supercooled precipitation, preset time step, icing density, and conductor equivalent radius into a Makkonen calibration model, outputting the predicted icing thickness; determining the predicted icing area based on a preset region, the predicted icing thickness, and preset conditions; thus improving the prediction accuracy of icing thickness and icing area.

The present application relates to the technical field of virtual simulation and fluid modeling, in particular to a sea current prediction and visualization method based on digital twinning, comprising the following steps: S1, setting a boundary water level and a terrain elevation to calculate an initial flow velocity field, and generating a projection velocity field satisfying an incompressible condition through projection correction; S2, generating a disturbance mapping by combining a difference value of the projection field and the initial field, a terrain gradient and a boundary change rate, and marking a potential visual discontinuous area; S3, constructing a terrain-sensitive disturbance factor to modulate a velocity input, driving a wave and particle system, and realizing smooth transition and consistent evolution of a physical field and a visual rendering system. The present application realizes the fusion effect of high consistency between physical precision and visual performance of sea current simulation under complex terrain by constructing a disturbance-modulated physically consistent velocity field and driving the wave and particle system to evolve cooperatively.

The application discloses a kind of regional terrain elevation quick measurement methods, it is related to elevation measurement technical field, the method comprises the following steps: S01, laser level is arranged in the measurement area, and ensure that its plane light energy covers the high point and low point of measurement area;S02, rough adjustment and fine adjustment are carried out to laser level using standard gauge, so that the leveling error is less than 1mm;S03, handheld measuring rod is placed in known elevation reference point, the current elevation reference point is input by digital keyboard and the first button is pressed for a long time to complete reference value conversion;S04, the region to be measured is divided into multiple measurement sections, and the number of measuring points and measurement interval of each section are determined, and after the parameters are input into computer, measurement bridge is built for measurement.The application realizes that only one person is needed to operate to quickly and accurately complete the regional terrain elevation automation measurement, significantly improves efficiency and reduces human error.

This application belongs to the field of UAV tow rope technology, and discloses a method and device for controlling the tow rope reel of a UAV. The method includes: real-time acquisition of UAV hovering altitude data and calculation of corresponding real-time elevation difference data; using a particle filtering algorithm to remove noise from the real-time elevation difference data to obtain a terrain elevation difference change sequence; calculating the sag depth of each elevation difference sampling point in the terrain elevation difference change sequence to obtain a sag depth distribution curve; obtaining a sequence of abrupt change positions including multiple abrupt change locations based on the sag depth distribution curve; calculating the tension increment or tension decrement at each abrupt change location to obtain a tension change rate distribution; obtaining dynamic characteristics of tension growth based on the tension change rate distribution and baseline trend line analysis at each abrupt change location; and generating a set of control commands for the tow rope reel based on the dynamic characteristics of tension growth, a preset safe tension range, and the rated parameters of the tow rope reel. This application can avoid the risk of sag loss of control in the tow rope.

This invention relates to the field of power transmission dispatching technology, specifically a dynamic load balancing dispatching method for power transmission lines based on reinforcement learning. The method involves: acquiring absolute elevation data, operating sag state parameters, and the elevation data of the terrain below to construct the insulation margin of the transmission line; acquiring meteorological data, and deriving the upper limit of stable operation based on the insulation margin and settlement displacement data, combined with the conductor expansion coefficient and span parameters, and calculating the safe current carrying capacity limit of the transmission line based on the thermal balance principle; obtaining tension distortion data based on the relative elevation difference change of the support structure and the real-time temperature quantification of the conductor, and mapping it together with the real-time branch power flow to the edge weights of the topology model, outputting an updated topology model; calculating the settlement deterioration rate, and inputting it along with the updated topology model into a reinforcement learning network to generate an initial dispatching scheme set; converting the initial dispatching scheme set into expected branch currents, verifying them using the safe current carrying capacity limit, outputting a safe candidate scheme set, and performing balanced dispatching.

This invention discloses an atmospheric delay correction method and system for interferometric synthetic aperture radar (InSAR), belonging to the field of radar signal correction technology. It includes: performing time-series analysis on a preprocessed SAR image set to obtain multiple interferograms; performing phase unwrapping to obtain multiple unwrapped phases; decomposing the observation matrix composed of the multiple unwrapped phases to obtain multiple independent components; removing independent components related to vertical layer delay from the observation matrix based on the correlation coefficient and periodicity coefficient between each independent component and terrain elevation to obtain a residual phase matrix; and performing turbulent delay correction on the residual phase matrix to obtain a corrected interferogram phase set deformation time series. This invention effectively suppresses the interference of atmospheric delay errors on deformation signals, preserves the true deformation information to the greatest extent, and significantly improves the accuracy of InSAR deformation monitoring.

This invention discloses a BIM-based method for adaptive terrain modeling of outdoor pipelines, comprising: creating an initial pipeline model; extracting terrain elevation point data and setting the terrain elevation point data into a grid with coordinate identifiers to form multiple terrain grid cells; obtaining the spatial coordinates of each pipeline segment node in the initial pipeline model and determining the corresponding terrain grid cell based on the spatial coordinates; calculating the projected elevation of each pipeline segment node on the terrain based on the terrain elevation point data in the terrain grid cell; adjusting the elevation of the projected elevation of the pipeline segment nodes based on the pipeline burial depth to obtain the adjusted pipeline node elevation; updating the initial pipeline model parameters based on the adjusted pipeline node elevation to generate a pipeline BIM model adaptively matched to the terrain. This invention can achieve fitting of the pipeline model with the terrain, reduce on-site excavation, and improve construction efficiency.

The application discloses a snow avalanche monitoring and vehicle safety method for snow removal operation of mountainous area highways, relates to the technical field of geological disaster monitoring and intelligent traffic safety, and has the following steps: a system receives real-time monitoring data sent by an environment monitoring device and vehicle position data sent by a snow removal vehicle; the system calculates a snow avalanche occurrence probability in a future period of time by using a preset prediction model according to the real-time monitoring data; when the snow avalanche occurrence probability exceeds a set value, the system generates a danger zone with the monitoring device as the center; the system calculates whether the snow removal vehicle is located in the danger zone in real time; if the snow removal vehicle is located in the danger zone, the system issues an alarm on a visual large screen and sends a withdrawal instruction to the snow removal vehicle. The application considers both sudden and gradual disaster monitoring, solves the problem that traditional two-dimensional monitoring cannot reflect the risk of terrain elevation difference, and realizes automatic and accurate safety of end cloud cooperation.

This invention discloses a method for detecting coherence changes in SAR images of mountainous areas by incorporating terrain features. It also discloses a computer device. The method obtains the coherence change results before and after an event based on an ascending orbit image set and the coherence change results before and after an event based on a descending orbit image set. Then, it calculates the pixel compression coefficients of the ascending orbit image set and the normalized pixel compression coefficients of the descending orbit image set based on terrain elevation data. Finally, it uses the two normalized pixel compression coefficients as weighting coefficients for the coherence change results before and after an event in the corresponding image sets, obtaining the coherence change detection results incorporating terrain factors. This invention enhances the applicability and stability of the method under complex mountainous conditions by introducing terrain factors. Compared with existing methods, it overcomes the interference of geometric distortions such as perspective contraction, overlay, and shadows caused by a single orbital viewpoint, avoiding the problems of unclear or false detection of coherence changes.

The application discloses a bridge superstructure and substructure double-driving adaptive modeling method and system, wherein the modeling method comprises the following steps: a dynamic local coordinate system is established based on a bridge span line and a route normal line, a space included angle theta is obtained, and a virtual cutting plane is constructed; a three-dimensional boolean difference set operation is performed on a standard beam segment and the virtual cutting plane, and a skew beam segment geometric model is generated; a planar projection contour polygon of each pier is extracted, the contour polygon is discretized into a sample point set, ray collision detection is performed, terrain elevation is obtained, and the elevation range and local terrain cross slope in the contour range are calculated; when the local terrain cross slope exceeds a preset threshold, adaptive calculation of a stepped foundation or a non-equal-height pier is triggered, and top and bottom surface elevations are output; a parameter topology dependency graph is established; when local changes occur in the bridge span line or the digital terrain model data, the parameter topology dependency graph is traversed, affected nodes are marked as dirty nodes, and only the incremental recalculation of branch links where the dirty nodes are located is performed.

The application relates to the technical field of path optimization, and discloses a UAV data collection path optimization method under communication and energy consumption constraints, which comprises the following steps: step S1, calculating unit horizontal distance energy consumption; step S2, constructing a minimum communicable height field; step S3, calculating a transverse specific energy ridge density field; step S4, calculating edge weight; step S5, calculating a minimum energy consumption section and a path node sequence; step S6, calculating data receiving energy consumption of a collection point; step S7, outputting an optimal visiting sequence; and step S8, generating a three-dimensional flight path and a time label. The minimum communicable height field is constructed by combining the terrain elevation feature and the Fresnel clearance constraint of air-ground communication, and the geometric change of the communication height field is converted into an energy-dimension cost index, so that the communication constraint, the energy consumption constraint and the actual execution demand of the UAV are considered coordinately.

This invention relates to a method, apparatus, equipment, and medium for identifying micro-topography along a catenary (overhead contact network). The method includes: acquiring digital terrain elevation data and geospatial data of the railway line along the catenary; extracting multi-dimensional features based on the digital terrain elevation data and geospatial data to characterize the correlation between catenary disaster risk and micro-topographic features; performing cluster analysis on the multi-dimensional features using a pre-trained clustering model, outputting clustering results, which include the mapping relationship between each dimensional feature and the clusters; verifying the rationality of the clustering results based on actual survey data, environmental monitoring data, and historical fault data along the catenary, and generating verification results; and generating micro-topographic identification results for the catenary area based on the verification results and clustering results. The method provided in this application enables accurate and efficient identification of micro-topography along the catenary during operation and maintenance.

This application relates to the field of computer graphics technology, specifically disclosing a method, apparatus, medium, and device for multi-source data loading in 3D intelligent visualization. The method includes: loading and dynamically adjusting an oblique photogrammetry model to construct an oblique photogrammetry real-world base; generating semantically coded 3D tiles data based on this base; identifying key entity objects, lightweighting their high-precision GLB / GLTF models, and dynamically embedding them into the scene; dynamically parsing and spatially overlaying the KML data associated with the key objects to construct a multi-level 3D scene information system from entity annotation to macroscopic annotations; dynamically coupling KML elements with terrain elevation data to form a high-precision digital elevation base supporting visualization; and optimizing resource scheduling of the base based on a dynamic memory partitioning mechanism to achieve an adaptive balance between terrain complexity and system load. This application can improve the accuracy, efficiency, and system stability of multi-source heterogeneous data fusion.

The application provides a mine vehicle path planning method based on model simulation in a mine environment, and relates to the technical field of automatic control, which collects mine environment data and inputs the data into a preset mine environment dynamic simulation system; a three-dimensional slope curvature matrix is constructed based on terrain elevation data, a dynamic center of gravity offset of the mine vehicle in the driving process is calculated according to the three-dimensional slope curvature matrix, the dynamic center of gravity offset is converted into a path generation value by using a dynamic weighting method, and a path safety level diagram is generated; a tire adhesion force distribution diagram is established according to road surface friction coefficient data, an initial path is generated by using an improved RRT algorithm in combination with obstacle distribution data, the curvature of the initial path is adjusted by the vehicle load state of each path point, and a final path planning scheme is obtained. The application can effectively avoid the problems of rollover, skidding or low path execution efficiency of the mine vehicle in the complex mine environment, and realizes efficient and safe path planning.

This invention provides a precise application method, system, and storage medium for soil remediation, including: acquiring gridded soil data of the area to be remediated; obtaining the pollution diffusion weight of each grid cell through spatial correlation calculation, calculating the soil migration coefficient field in combination with soil moisture content, and correcting the pollutant concentration to obtain a corrected concentration distribution; dividing the corrected concentration distribution into zones, calculating the application boundary coefficient between adjacent grid cells, and reorganizing the grid to form an irregular application cell set; calculating the basic application dose based on the corrected concentration distribution of each application cell, calculating the spraying angle coefficient in combination with terrain elevation, and jointly determining the spraying control parameters of each cell; during spraying, matching the equipment trajectory with the cell boundary in real time, and when the trajectory crosses the boundary, performing a smooth transition correction on the control parameters based on the application boundary coefficient, and outputting the corresponding spraying control command.

This application discloses a method, device, and storage medium for generating vertical grids suitable for complex terrain, relating to the field of fluid numerical computation technology. The key technical points are: the method includes: acquiring topographic elevation data of the target terrain region; generating planar triangular or quadrilateral grids based on the topographic elevation data; defining the control water depth and grid layer number for several terrain feature control points; determining the critical water depth between deep and shallow water areas; calculating the characteristic values ​​and elevation values ​​of each grid point; performing local vertical subtraction to generate a series of characteristic values ​​and elevation values; and generating the vertical grid of the target terrain region based on the series of characteristic values ​​and elevation values ​​of each grid point. This generation method can adapt to complex underwater terrain and allocate appropriate vertical grid layers in deep and shallow water areas respectively, satisfying the requirements of vertical resolution while improving model computational efficiency and accuracy.

The present application belongs to the technical field of ecological environment remote sensing and carbon cycle quantification, and particularly relates to a kind of based on water power-remote sensing coupling's coastal wetland horizontal carbon output estimation method and system.The method obtains multi-source remote sensing image, terrain elevation, tidal boundary, runoff boundary and measured carbon concentration data, constructs DOC, POC inversion model and total carbon concentration field;Combined with two-dimensional unsteady flow hydrodynamic model, water depth field and flow velocity field are obtained;According to the coupling relationship between water depth gradient and flow velocity direction, the active section of carbon exchange is automatically identified;The carbon concentration field is coupled with the normal flow velocity, water depth and flux correction coefficient, the instantaneous carbon flux is calculated, and the net horizontal carbon output total amount is obtained through the decomposition of rising tide-falling tide and adaptive time integration;Then, the measured data is used for parameter iteration update.The present application can improve the continuity, dynamics, accuracy and comparability of the estimation of coastal wetland horizontal carbon output.

Electric bikes (“e-bikes”) configured to achieve automatic and dynamic ride control based on a rider's desired ride objective without requiring direct physical inputs from the rider during the ride are disclosed. A rider specifies, via her mobile device or a device integrated with the e-bike, various input parameters representative of a desired ride objective. An objective-based ride control algorithm is then executed to determine—based on sensor information indicative of input variables such as pedal cadence, vehicle speed, current transmission position, electric motor power, GPS location, terrain elevation, and the like—settings for controlled variables such as transmission ratio, motor assist level, braking force, and / or suspension pressure in order to support the rider's desired ride objective, as represented by the specified input parameters. As such, a rider achieves a desired ride experience without having to directly manipulate controlled variables during the ride.

This invention discloses a method for determining the design elevation and shape of a hoisting platform for a wind power plant in mountainous areas, comprising the following steps: Step 1: Obtaining raw data and drawing the "minimum hoisting platform boundary line"; Step 2: Overlaying the data obtained in Step 1 onto an electronic topographic map and obtaining the original topographic elevation at each inflection point; Step 3: Using the minimum value among the inflection point elevations obtained in Step 2 as the "low elevation" of the hoisting platform; Step 4: Finding the "maximum contour line" closest to the "low elevation" in Step 3 and using its elevation as the site design elevation; Step 5: Trimming the "minimum hoisting platform boundary line" in Step 1 using the "maximum contour line" in Step 4, and combining the trimmed "minimum hoisting platform boundary line" with the "maximum contour line" to obtain the hoisting platform shape line; This method can reduce the amount of filling and retaining works, lower project costs, shorten the project construction period, and achieve better project economy.

This invention discloses a topographic cross-section interpolation method applicable to arbitrarily curved rivers. It constructs a scatter plot of all points for the cross-section to be interpolated using equal division and the Pythagorean theorem. The distance between each interpolated cross-section and the measured cross-section is calculated, and adjacent cross-sections are extracted. Then, based on the Pythagorean theorem, the elevation points of the measured cross-section are assigned to adjacent cross-sections. A distance-weighted method is used to interpolate the elevations of the remaining unassigned cross-sections, obtaining the cumulative distance of the cross-section scatter points and the distances between the left, center, and right banks of the cross-sections. This achieves rapid interpolation of any river topographic cross-section. This invention addresses the limitation of scattered river boundaries and limited topographic elevation cross-section data in meeting the requirements of mathematical modeling. It employs equal division, the Pythagorean theorem, and distance-weighted methods, fully considering the curvature and topographic variations of natural rivers, thus achieving rapid interpolation of river topographic cross-sections and providing effective technical support for river numerical simulation research and hydraulic science.

The application discloses a kind of improved PSO three-dimensional sensor network optimization deployment method, the scheme includes: construct the three-dimensional space monitoring model of fusion topography elevation and barrier distribution;Design dynamic multi-objective fitness function of fusion space coverage, energy consumption balance degree and barrier penetration loss coefficient;According to the search weight of topographic gradient dynamic adjustment particle group in Z axis direction;Three-dimensional space is divided into sub-region and particle group is initialized in parallel;Improved PSO algorithm is used to iteratively optimize node position until the termination condition is met.The beneficial effects of the present application are: suitable for mountain monitoring, unmanned aerial vehicle cluster networking, ocean three-dimensional monitoring and other scenarios, can improve three-dimensional coverage by 15%-30%, network life is prolonged by more than 20%, and supports real-time node redeployment in dynamic environment.Through innovative three-dimensional space modeling, multi-objective optimization algorithm and parallel computing architecture, the overall improvement of sensor network deployment quality and efficiency in complex environment is realized.

This invention discloses a method, device, and medium for joint imaging of micro-motion multi-order SPAC coefficients and video dispersion curves under undulating terrain. The method includes: Step 1, dividing the undulating terrain into multiple local units, calculating the overall surface wave phase velocity, and then obtaining the SPAC coefficients to obtain the theoretical video dispersion curve; Step 2, obtaining the surface normal component from the three-component micro-motion data obtained from micro-motion observations, and extracting the SPAC coefficients and the optimal video dispersion curve under strong constraints of the SPAC coefficient zero point; Step 3, inputting the shear wave velocity of the strata, the elevation of the underlying stratum interface, and the elevation of the undulating terrain surface into a pre-trained LSTM network, and performing joint inversion based on the SPAC coefficients and video dispersion curves to obtain subsurface space imaging. This invention is applicable to undulating terrain conditions and can fully utilize multi-order surface wave dispersion information, exhibiting higher imaging accuracy and stability, thereby achieving high-resolution micro-motion imaging of subsurface space.

This invention relates to the field of virtual simulation and fluid modeling technology, specifically to a digital twin-based method for ocean current forecasting and visualization, comprising the following steps: S1, setting boundary water levels and terrain elevations to calculate an initial velocity field, and generating a projected velocity field that satisfies the incompressibility condition through projection correction; S2, combining the difference between the projected field and the initial field, terrain gradient, and boundary change rate to generate a perturbation map, marking potential visual discontinuities; S3, constructing a terrain-sensitive perturbation factor to modulate the velocity input, driving the wave and particle systems, and achieving a smooth transition and consistent evolution between the physical field and the visual rendering system. This invention, by constructing a perturbation-modulated physically consistent velocity field and driving the co-evolution of the wave and particle systems, achieves a highly consistent fusion effect between the physical accuracy and visual representation of ocean current simulation under complex terrain.