32 results about "Terrain analysis" patented technology

The invention discloses a natural resource big data off-line comprehensive analysis, annotation and proof system and method, and belongs to the technical field of natural resource informatization and geographic information processing. The system comprises the following components: a spatial data fusion module, which is used for realizing unified management and efficient processing of heterogeneous spatial data; the spatial index optimization module is used for realizing quick retrieval and high-performance query optimization of spatial data; the intelligent annotation and arrangement module is used for realizing low-code rapid configuration and business process automatic arrangement of different natural resource investigation scenes; the off-line analysis module is used for realizing buffer area analysis, space superposition and terrain analysis in an off-line environment; the real-time visualization module is used for realizing multi-level map display, track recording, vector element editing and multimedia evidence collection; and the data quality management module is used for realizing automatic quality inspection of geometry, topology and attributes and statistical analysis, version control and export management of annotation results.

The invention discloses a method for realizing fine terrain analysis through image fusion by integrating multivariate surveying and mapping data, and relates to the technical field of remote sensing surveying and mapping data processing and image fusion of terrain analysis, and the method comprises the steps: generating grid elevation, ground point density and visual angle information based on a point cloud, constructing a risk index, and extracting a residual error; residual errors are calculated in a track transverse window and are related to view angle cosine, and a strip-shaped error mask is generated; estimating a deviation field through weighted least squares based on observation fitting and smoothing along an air route, correcting the earth surface and obtaining a pixel-level weight; the correction result and the exogenous elevation are fused according to the weight, and the fused elevation, the gradient, the curvature and other indexes are output. The method can improve the precision and reliability of the terrain index under the complex earth surface.

The invention relates to the technical field of outdoor navigation, and discloses an outdoor positioning and navigation system and an outdoor positioning and navigation method combined with terrain analysis. The system comprises a topographic data acquisition unit, a topographic feature analysis unit, a positioning data integration unit and a navigation path generation unit. The topographic data acquisition unit is responsible for processing original topographic data, identifying and extracting topographic elements and establishing spatial association; the topographic feature analysis unit calculates a topographic feature complexity index by matching a database template and completes conformity judgment; the positioning data integration unit executes correlation analysis of positioning points and terrain entities, and generates accurate position data by evaluating correlation strength; and the navigation path generation unit performs path feasibility analysis and risk calculation based on the result, and finally outputs a navigation scheme. According to the system, the safety and the positioning precision of a navigation path in a complex field environment are improved by quantifying the terrain feature complexity and intelligently fusing positioning data with the terrain.

The invention relates to the technical field of robot autonomous navigation and environmental perception, in particular to a multi-sensor fusion SLAM and autonomous exploration method in a complex agricultural environment. The method comprises the following steps: correcting motion distortion through IMU forward propagation and laser radar back propagation; fusing the laser point-surface residual error and the visual luminosity residual error by adopting error state iteration Kalman filtering with sequence updating; carrying out object-level segmentation on the local point cloud map, and removing dynamic objects based on a weighted residual mechanism; carrying out loopback detection based on feature matching of deep learning; fusing three factors of a laser-visual odometer, IMU pre-integration and loopback through a factor graph model to obtain a global consistent track and map; autonomous exploration is carried out based on an optimization result, and automatic map construction is realized through terrain analysis and hierarchical path planning. The method effectively improves the positioning precision, robustness and automation level in an agricultural environment with dynamic interference and sparse features, and supports long-time reliable operation.

This invention relates to an autonomous navigation method for legged robots based on terrain drivability weights, belonging to the field of robot autonomous navigation technology. It configures a vision-inertial subsystem and a LiDAR-inertial subsystem, outputs a 3D point cloud map through factor map fusion, obtains drivability weights through terrain analysis, and outputs a drivability cost map through path planning. The advantage is that, based on the LVI-SAM LiDAR-vision-inertial fusion SLAM framework, it innovatively introduces terrain undulation drivability weights (TTW), reassessing undulating terrain such as steps and gentle slopes, which are traditionally deemed "impassable," as "passable" terrain for legged robots. This method is particularly suitable for autonomous navigation tasks of legged robots such as robot dogs in complex terrains such as urban sidewalks, stairs, and ruins.

The application discloses a three-dimensional terrain modeling analysis and adaptive navigation system and method, and relates to the technical field of navigation.The laser radar is used for acquiring point cloud data of the region where the device to be navigated is located in real time; the IMU is used for measuring the acceleration and angular velocity of the device to be navigated in real time; the data fusion sub-module is used for pre-processing the point cloud data, acceleration and angular velocity in real time, and fusing the pre-processed data; the three-dimensional map modeling sub-module is used for constructing a three-dimensional map model according to the point cloud data in real time by using a SLAM algorithm; the three-dimensional terrain analysis module is used for determining the terrain features of each point in the three-dimensional map model in real time; and the adaptive navigation module is used for planning a path for the device to be navigated according to the three-dimensional map model and the terrain features of each point, so that navigation is realized.The application can improve the precision of original data, and then improve the positioning precision, and realize accurate navigation.

The invention discloses a multi-source data-based fixed-point rainstorm waterlogging risk assessment method and system, and relates to the technical field of waterlogging risk assessment, and the method comprises the steps: obtaining fixed-point region information, obtaining fixed-point influence region information based on region terrain analysis according to the fixed-point region information, and obtaining a multi-source data-based fixed-point rainstorm waterlogging risk assessment result according to the fixed-point influence region information based on a D8 algorithm. And obtaining surface runoff path information. According to the method, fixed-point influence area division and depth adaptation of topographic features are achieved through fixed-point influence area information, a topographic foundation is laid for follow-up accurate confluence path recognition, the boundary confluence distance is dynamically determined through the boundary confluence distance threshold value, quantitative dynamic adjustment of the influence area range is achieved, and the accuracy of confluence path recognition is improved. A basis is provided for follow-up targeted analysis of influences of runoffs in different directions on a fixed point area, required monitoring points are reduced through key runoff path information, and the risk assessment efficiency is improved.

The invention discloses a photovoltaic power generation battery layer array arrangement optimization system, and particularly relates to the technical field of photovoltaic power generation, which comprises a site determination module, an arrangement module, a parameter acquisition module, a parameter processing module and an optimization design module. According to the method, through elevation data modeling and terrain analysis before arrangement design, a target site is accurately classified into a flat site, a unified slope site and a complex site; a special arrangement point layout scheme, a full-dimensional parameter acquisition strategy and a nonlinear evaluation model are adapted for different site types, and a photovoltaic power generation coefficient and a fault risk coefficient are accurately calculated; according to the invention, intelligent optimization screening is carried out based on the arrangement value index of multi-parameter fusion, and an optimal arrangement space is generated, so that accurate fitting of arrangement design with site topography and illumination characteristics is realized, arrangement failure and measurement deviation caused by site difference are significantly reduced, a scientific basis is provided for design decision of a photovoltaic power station, and the design efficiency of the photovoltaic power station is improved. And the core requirements of cost reduction and benefit increase in the industry are met.

The invention relates to a two-wheeled vehicle damping method and system based on multi-dimensional perception and composite adjustment, and the method comprises the steps: obtaining a binocular camera stereo image, millimeter wave radar road surface height, cushion pressure, vehicle speed and steering angle data, and obtaining terrain types and feature parameters through a terrain analysis model; the weight and gravity center shift of the driver are calculated according to the pressure distribution, the terrain information, the vehicle speed, the weight and the gravity center shift are input into a four-dimensional mapping model, damping force parameters and stroke parameters are obtained, the parameters are corrected in combination with a preset abnormal scene library, and a magnetofluid damper and a linear motor stroke mechanism are driven to be dynamically adjusted. According to the method, the adaptability of the damping system to road surface fluctuation and gravity center change under complex working conditions is improved, and the riding comfort and the vehicle control stability are improved.

The invention relates to a landslide risk multi-criterion depth prediction method fusing geographical and physical information, which belongs to the field of geological disaster early warning, is realized by a landslide risk depth learning prediction system, and comprises the following steps: S1, collecting high-resolution satellite image data; s2, carrying out zooming and normalization processing on the image data; s3, establishing a geographic and physical information deep neural network, and respectively completing independent training by using historical data; s4, training the multi-criterion filter by using historical data again; and S5, processing the image data by using the trained geographic and physical information deep neural network to obtain a landslide sensitivity map. According to the method, the geographic and physical information deep neural network of a cross validation mechanism is provided, the accuracy of landslide risk prediction is ensured, multiple types of land coverage can be accurately classified, the spatial precision and robustness of terrain analysis are remarkably improved, the prediction capability is enhanced by fusing terrain factors, and the prediction efficiency is improved. The method can effectively support the recognition of the landslide-prone area of the complex landform area.

The application discloses a photovoltaic power generation cell layer array arrangement optimization system and particularly relates to the technical field of photovoltaic power generation, comprising a site determination module, an arrangement layout module, a parameter collection module, a parameter processing module and an optimization design module.The application classifies the target site into flat sites, uniform slope sites and complex sites through elevation data modeling and terrain analysis before arrangement design; adapts exclusive arrangement point layout schemes, full-dimension parameter collection strategies and nonlinear evaluation models to different site types, accurately calculates photovoltaic power generation coefficients and failure risk coefficients; intelligently optimizes and selects based on the arrangement value index of multi-parameter fusion, generates the optimal arrangement space, realizes accurate fitting of arrangement design and site terrain and illumination characteristics, significantly reduces arrangement failure and measurement deviation caused by site differences, provides a scientific basis for photovoltaic power station design decision, and adapts to the core needs of cost reduction and efficiency increase in the industry.

This invention relates to a method and system for analyzing tree obstruction hazards on power transmission lines based on unmanned aerial vehicles (UAVs). The method includes: collecting environmental data and basic data of the power transmission line using UAVs; dividing the power transmission line into multiple terrain analysis units based on the basic data; calculating the surrounding environment conformity index for each terrain analysis unit based on the environmental data; identifying whether the current terrain analysis unit is an abnormal terrain unit based on the surrounding environment conformity index, and matching a corresponding UAV inspection route for each identified abnormal terrain unit; collecting route data of the abnormal terrain units along the UAV inspection route; calculating the tree obstruction spatial distance conformity index based on the route data; performing tree obstruction hazard analysis based on the tree obstruction spatial distance conformity index to obtain the tree obstruction hazard level, and implementing differentiated early warning and handling strategies based on the tree obstruction hazard level.

The application relates to the technical field of digital terrain analysis, in particular to a hydropower station construction camp site selection method and system based on GIS. A construction area is divided into multiple sub-areas, and spatial unit division with different fineness is performed in each sub-area; a geological disaster comprehensive risk index of each spatial unit is calculated, and a suitability evaluation method corresponding to the spatial unit is set; according to the suitability evaluation method, camp construction suitability score data are calculated; the spatial units in each sub-area are grouped according to the suitability score; a site selection suitability spectrum curve is formed; a feature parameter of the site selection suitability spectrum curve is extracted, and a site selection zoning clustering scheme is executed based on the feature parameter. The application quantitatively describes and analyzes the spatial structure of the site selection suitability spectrum curve of different sub-areas through a multi-level division system, and provides a safe decision support method for hydropower station construction camp site selection.

The present application relates to photovoltaic power station planning and design technical field, it discloses a kind of photovoltaic array topological generation method and system based on digital terrain analysis, solve the problem that traditional scheme exists under complex terrain terrain adaptability is poor, low efficiency, insufficient illumination utilization and multiple engineering constraints are difficult to coordinate.This application carries out curvature-guided adaptive gridding to digital elevation model, generate the micro-slope unit grid that conforms to real terrain, combined with annual solar view position time series data, carry out radiation receiving amount space-time integration and light receiving efficiency calibration to each micro-slope unit;Adopt efficiency priority level driving sequential layout synthesis, first construct compliance main array in high efficiency area, then fill gap by variable efficiency unit to form initial topological layout;Finally rely on geometric projection principle to carry out shelter simulation analysis, combined with slope, site boundary constraint carries out iterative optimization adjustment, output optimal topological layout satisfying each item engineering limit.

The application discloses a photovoltaic power generation system parameter identification optimization method based on dynamic fitness terrain analysis, and belongs to the technical field of photovoltaic power generation system modeling and control. The method divides the optimization process of photovoltaic model parameter identification into continuous time intervals, evaluates the population trajectory characteristics in real time in each interval, classifies the search terrain of the current optimization stage, identifies the multi-modal or single-modal terrain, and dynamically switches to the adaptive optimization algorithm, meanwhile, updates and restores the algorithm state through the dictionary-based context memory method to realize the hot start. The optimal parameters identified are sent to the maximum power point tracking controller to adjust the photovoltaic system operation working point. The application can adaptively schedule the algorithm according to the real-time change of the fitness terrain, dynamically balances exploration and development in the search process, and effectively avoids falling into local optimization.

This invention provides a method and system for autonomous exploration and navigation of robots that integrates visually enhanced localization and multimodal terrain analysis. The method includes: acquiring multi-source heterogeneous data of the target robot in the current dynamic environment; performing spatiotemporal calibration and standardization processing on laser point cloud data, visual image data, and inertial measurement data to obtain standardized point cloud data and standardized image data; performing fusion localization and dual-map construction based on the standardized point cloud data and standardized image data to obtain a jointly estimated pose, an environmental point cloud map, and a static semantic map; performing terrain analysis and path planning based on the jointly estimated pose, environmental point cloud map, and static semantic map to obtain the target motion path; and driving the target robot to perform exploration and navigation actions along the planned path based on the target motion path. This invention enables stable localization, accurate mapping, and intelligent autonomous exploration and navigation of robots in complex, dynamic, and unstructured environments.

The present application belongs to the technical field of terrain influence analysis method, and particularly relates to a plateau complex terrain wind field statistical reconstruction method based on site contribution equalization, determines a research area as a terrain area in Sichuan Province in the southeast edge of the Qinghai-Tibet Plateau, and a research period as a dry season of the plateau; collects hourly maximum wind and wind direction records of an encrypted automatic weather station in the research area, and slope and slope direction terrain factors extracted based on a 30-meter resolution digital elevation model; performs quality control on meteorological data, and verifies each record of extreme gale records of 10 levels and above by referring to a duty log, consulting a local meteorological station, and comparing average wind speed; defines 6 levels and above as a target gale level, and clearly defines statistical standards of a gale day, a gale hour, and an average continuous duration of a gale day; adopts a site equal weight method, eliminates influences of site density differences on terrain analysis, and performs correlation statistics of terrain factors and gale characteristics.

The invention discloses a deep sea landform full-automatic identification and classification method based on isobath form entropy, and relates to the technical field of marine geological exploration and terrain analysis, and the method comprises the steps: extracting isobaths from a digital elevation model of a target area according to a set interval, constructing an isobath topological relation graph, and identifying a closed ring and a bifurcation point; on the basis of the isobath topological relation graph, multi-dimensional isobath form entropy sub-factors including an isobath topological complexity index, isobath geometric entropy, isobath density gradient anomaly and isobath curvature spectrum features are calculated; according to the method, the multi-dimensional morphological entropy sub-factors covering the isobath topology complexity, the geometric entropy, the density gradient anomaly and the curvature spectrum characteristics are calculated, and the deep sea landform topological structure, the spatial distribution and the frequency domain characteristics are quantitatively described; and multi-level topographic information from a micro form to a macro pattern can be captured, and the comprehensive characterization capability of a complex landform structure is remarkably improved.

The invention discloses a mountain photovoltaic power station arrangement platform and an arrangement method, and relates to the technical field of photovoltaic power stations. Comprising a data acquisition module used for acquiring mountain terrain data, solar radiation data, meteorological data and photovoltaic module parameters; and the data processing module is connected with the data acquisition module and is used for carrying out grid processing on the acquired mountain terrain data to obtain three-dimensional coordinate information of a plurality of grid units. According to the invention, data such as mountain terrain, solar radiation, weather and photovoltaic modules can be collected through the data acquisition module, gridding processing is carried out through the data processing module, the mountain terrain is refined into a plurality of grid units, and three-dimensional coordinate information is acquired, so that the analysis of the mountain terrain is more refined, and the analysis accuracy is improved. The judgment module judges the safety feasibility of each grid unit according to the multi-aspect data, and compared with the mode depending on artificial experience or simple terrain analysis in the prior art, the position suitable for installing the photovoltaic module can be accurately determined, and the arrangement rationality is greatly improved.

This invention discloses a zero-trust network security threat early warning system and method based on critical terrain analysis. First, network traffic is captured and preprocessed. Traffic analysis automatically discovers the network topology and identifies key devices, constructing a critical terrain map. Vulnerability information from existing vulnerability platforms is collected, and knowledge modeling is performed using entity data (including vulnerabilities, devices, ports, services, and attack chains) and relational data such as impact, dependency, association, and triggering. Node vulnerability information is acquired, and the attack costs and benefits of associated vulnerabilities are quantitatively evaluated. A dynamic network attack-defense game model is constructed based on the quantitative results. Using the constructed vulnerability knowledge graph and exploitable associated vulnerabilities in the critical terrain, a zero-trust network critical terrain attack map is generated. Targeted strategies for critical terrain are formulated. Based on the associated vulnerability analysis results and targeted countermeasures, the generated attack map is used to infer attack paths for critical terrain, achieving full automation from anomaly detection and risk assessment to threat early warning.

The application discloses a mountainous area mechanization construction layout optimization system and method based on unmanned aerial vehicle surveying and mapping, wherein the system comprises an unmanned aerial vehicle surveying and mapping module, a data processing module, a terrain analysis module and a construction layout optimization module; the unmanned aerial vehicle surveying and mapping module is used for obtaining mountainous area data; the data processing module is used for generating a digital elevation model based on the mountainous area data; the terrain analysis module is used for extracting parameter information based on the digital elevation model; and the construction layout optimization module is used for performing layout optimization based on the parameter information. The application can quickly and efficiently perform the optimization design of the mountainous area construction layout by using the efficient surveying and mapping capacity of the unmanned aerial vehicle, combining the data processing, terrain analysis and layout optimization technologies, and improving the scientificity and rationality of the construction planning.

This invention discloses a block-based multi-scale neighborhood terrain analysis method for digital elevation models, comprising the following steps: determining the global maximum neighborhood range; dividing the digital elevation model to be processed into at least one sub-block; reading all sub-blocks in blocks; performing neighborhood terrain calculations within the read sub-block data range, and outputting only the calculation results of the core region as the processing result of the sub-block; and splicing the calculation results of the core regions of all sub-blocks as the global result output. This invention improves the consistency and stability of multi-scale terrain analysis results by uniformly determining the maximum neighborhood range, enabling all neighborhood statistical calculations to be performed under the condition of complete neighborhood data support.

The present application relates to the technical field of terrain analysis, and specifically discloses a terrain similarity analysis method and system fusing multi-source and multi-scale terrain information, which comprises the following steps: obtaining remote sensing image data and corresponding DEM data of two regions, generating a terrain structure feature tensor based on the DEM data; performing feature extraction and fusion on the terrain structure feature tensor and the remote sensing image data respectively based on an improved DeepLab v3+ network to generate a joint feature representation; synchronously extracting feature maps of the joint feature representation at different spatial scales, and calculating the similarity between the two regions at each spatial scale; dynamically dividing configuration weights according to the difference degree between the similarity results at each scale, and performing weighted fusion on the similarity results at each scale to obtain a final similarity result, which is converted into a grid weight map. The present application can deeply fuse multi-source data and realize cross-scale consistency analysis.

The invention relates to a line construction section high-precision surveying and mapping method and system based on an AI vision technology. The method comprises the steps that image data and point cloud data of a line construction section are acquired; inputting the image data and the point cloud data into a segmentation module, generating a semantic segmentation map, and obtaining topographic point cloud data and topographic image data; the terrain point cloud data is input to a terrain analysis module, and the terrain analysis module calculates a terrain complexity coefficient; determining a surveying and mapping span value according to the terrain complexity coefficient; analyzing the topographic edge density of the topographic image data, and if the topographic edge density is greater than a preset threshold, adjusting the surveying and mapping span value to a smaller value to obtain an adjusted surveying and mapping span value; and acquiring data by using the adjusted surveying and mapping span value, and generating a surveying and mapping data model of the line construction section.

The invention discloses a digital elevation model sampling method based on a virtual earth platform. The digital elevation model sampling method comprises a sampling point construction and coordinate conversion link a, a virtual earth environment and online terrain loading link b, a second-order Kalman filter establishment link c, a traversal sampling and adaptive height adjustment link d and a result output and rasterized data generation link e. Aiming at the uncertainty of online terrain block loading and asynchronous rendering, recursive estimation and prediction are performed on a terrain height program sequence by utilizing constant speed model second-order Kalman filtering, and the camera height is determined by adopting secondary sampling at a first point or when no prediction value exists; sampling-estimation-parameter adjustment closed-loop feedback is adopted for subsequent sampling points to achieve camera height self-adaptive adjustment, and the stability, continuity and success rate of batch sampling are improved in combination with snakelike traversal and time delay control. A sampling result can be exported after neighborhood smoothing, and a GeoTIFF grid elevation product is generated, so that local terrain analysis and application are facilitated.

The invention belongs to the field of geographic information systems and digital terrain analysis, and particularly relates to a watershed division method and system based on water flow traversal, and the method comprises the steps: preprocessing an obtained digital elevation model to obtain a water flow direction matrix; if the water flow direction matrix does not have the specified hydrological outlet cells, the hydrological outlet cells are identified through the row and column boundary conditions of the water flow direction matrix and the cells, and a unique identification label value is allocated to the specified hydrological outlet cells or all potential hydrological outlet cells; constructing an initial drainage basin grid, and forming a basic drainage basin grid in combination with the identification label value; according to a row-first traversal strategy, scanning each cell in the basic drainage basin grids, tracking a complete flow path from the current cell to the downstream, storing all unmarked cells on the flow path into a dynamically created temporary array in sequence, and finally uniformly distributing the same drainage basin label value for all cells in the same path. And a plurality of drainage basins are obtained through traversal division.

The application relates to the technical field of digital terrain analysis, in particular to a traffic terrain coupling relationship spatial structure analysis method and system. A research area is divided into multiple sub-areas, and spatial unit division with different fineness is performed in each sub-area; the volatility of each spatial unit is calculated, and a slope calculation method of the corresponding spatial unit is set based on the volatility; according to the slope calculation method, the slope data and the road network length data of each spatial unit are calculated; the spatial units in each sub-area are grouped according to the slope data; based on the total road length data of the sub-area and the road length data of each slope group, a road network slope spectrum is formed; a characteristic parameter of the road network slope spectrum curve is extracted, and a clustering scheme is executed based on the characteristic parameter. The application realizes quantitative description and spatial structure analysis of the traffic terrain coupling relationship in different areas based on the road network slope spectrum through a multi-level division system. The application provides a relatively intuitive and accurate analysis method for regional traffic road network optimization.

This application provides a method, apparatus, electronic device, and storage medium for the layout of mountain photovoltaic (PV) fields based on terrain and illumination. The method includes the following steps: acquiring contour topographic data, geographic data, and illumination data of the mountain PV field coordinates; extracting discrete elevation points from the contour topographic data; calculating the node coordinates of a regular-shaped grid using an interpolation algorithm; establishing a grid model of the mountain PV field; performing terrain analysis and site zoning based on the grid model; and defining the union of unqualified grids and completely shaded grids as undesirable areas based on the terrain and illumination analysis results, and defining the intersection of qualified grids and completely unshaded grids as deployable areas. This invention enables PV projects to quickly analyze and zonate mountain PV fields, providing important references for designers to manually design and layout mountain PV field projects, and assisting designers in developing design schemes with higher land utilization rates.

The embodiment of the invention provides a differential control method and device, electronic equipment and a storage medium, and belongs to the technical field of carrier control. The method is applied to a carrier provided with a variable-wheelbase chassis, the variable-wheelbase chassis is provided with a plurality of driving wheels, and the method comprises the following steps: performing environmental terrain analysis based on acquired environmental perception data to obtain a road surface friction coefficient; acquiring the current chassis axle distance of the variable axle distance chassis and the real-time wheel speed data of each driving wheel; inputting the current chassis wheelbase, the pavement friction coefficient and the real-time wheel speed data into a pre-trained slip rate estimation model for slip coefficient analysis, and outputting a slip coefficient estimation value of each driving wheel; in response to a received control instruction, differential control analysis is carried out based on the slip coefficient estimation value, and the target rotating speed of each driving wheel is output; and each driving wheel is controlled to operate according to the corresponding target rotating speed. The embodiment of the invention can provide a differential control scheme capable of adapting to chassis structure change and pavement environment change.