52 results about "Terrain analysis" patented technology

The invention relates to the technical field of vehicle body posture leveling control, and provides a vehicle body posture leveling control method and system for an electric mountain transport vehicle, and the method comprises the steps: obtaining ground contact state data and a transverse shaft rotation angle in real time, and carrying out the contact terrain analysis according to the ground contact state data to obtain terrain parameter information; carrying out vehicle load distribution analysis according to the ground contact state data and the terrain inclination parameters to obtain pressure gravity center shift data; adjusting the horizontal axis rotation angle according to the pressure center-of-gravity shift data to obtain a target horizontal axis rotation angle; according to the target horizontal axis rotation angle and the terrain pressure distribution data, carrying out wheel bearing demand analysis to obtain a wheel pressure adjustment strategy; and driving the suspension system to level the posture of the vehicle body according to the wheel pressure adjusting strategy. The terrain environment change can be sensed in real time based on the wheel ground contact state change and the vehicle gravity center shift monitoring mechanism, the rotation angle of the transverse shaft and the wheel ground contact pressure are accurately adjusted, and self-adaptive leveling of the vehicle body posture is achieved.

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.

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 an image processing and measuring method and system based on unmanned aerial vehicle radar and oblique photography, relates to the technical field of oblique photography image measurement, and is used for solving the problem that the accuracy of region division and anomaly detection results is reduced. The method comprises the following steps: calculating a vegetation change gradient in combination with a radar echo amplitude to generate vegetation distribution characteristics; extracting an under-forest ground and generating uniform extrapolation points; arranging a clinometer to obtain an elevation and a coordinate; calculating a local slope and a crown fluctuation amplitude; according to the method, the area vegetation coverage state is evaluated, abnormal areas are screened, extrapolation ground points of the abnormal areas are marked and output, high-precision exploration of the forest area is achieved, terrain complexity and vegetation distribution characteristics are accurately reflected, reliable data support is provided for forest management and terrain analysis, and exploration efficiency and precision are improved.

The invention belongs to the technical field of path planning, and particularly relates to an A * hybrid ant colony path planning method for simulating a flame spreading grid. Comprising the following steps: interactively setting a plurality of fire source positions in an obstacle environment of an initial static grid simulation map, and selecting a starting point; obtaining terrain analysis data and fuel model data of the map; calculating the spreading rate value of each basic grid, and constructing a conversion rule among a non-combustion state, a combustion state and a burnout state to simulate flame spreading; the map information is input into a function formed by nesting a simplified ant colony algorithm into a traditional A * algorithm, and the optimal path for the robot to go to a plurality of target points is planned; simulating the movement of the robot to dynamically present the optimal global path; the flame spreading model and the robot dynamic path planning model are input into a map function together, optimal path planning of the simulation robot in the dynamically changing flame spreading environment is achieved, and the environment and robot moving conditions are displayed in a basic grid map in real time. According to the invention, the optimal path planning for the robot to go to a plurality of target fire sources to implement the fire extinguishing activity under the obstacle and dynamic flame environment can be realized.

The present invention relates to a photovoltaic module layout region extraction method based on the web. The method comprises the following steps: (1) establishing a digital elevation model; (2) setting slope and aspect parameters; (3) performing slope and aspect analysis; (4) extracting pixel units that meet a condition; (5) calculating layout spacing values; (6) performing area screening; and (7) arranging photovoltaic modules. In the present invention, terrain analysis is performed by means of a web application system, an available region for photovoltaic module layout is visually presented in combination with a graphical visualization tool and a three-dimensional technique, a rendering technique is used to simulate changes in form of illumination over time, and terrain structure information is interpreted, such that the optimal sunlight region of a site is extracted, the maximum power generation benefit of the site is achieved, and rational photovoltaic module layout regions can be provided for various complex terrains.

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 belongs to the field of agricultural terrain decision, and particularly relates to a terrain analysis method and system based on unmanned aerial vehicle remote sensing monitoring decision, and the method comprises the steps: firstly obtaining various data of a to-be-mined region, constructing a three-dimensional terrain visualization and planting simulation model, configuring a crop planting attribute library, and simulating planting to obtain a score; secondly, screening crops according to a score threshold value, and performing secondary planning planting if a condition is met; the area needing to be transformed is transformed according to attributes, and difficulty is evaluated; and configuring a modification difficulty threshold according to the planting demand and cost of the user, and planting, modifying and planning the crops meeting the conditions according to the conditions. If the crops do not meet the requirements but the transformation difficulty is proper, selecting crops with low estimated cost for transformation and planting; and finally, when the crop planting difficulty is large and the growth vigor is poor, determining whether to transform planting according to conditions by analyzing attributes, thereby providing a precise decision for agricultural planting planning.

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.

The invention relates to an icing prediction initial field early warning method and device fusing multi-source data, computer equipment, a readable storage medium and a program product, and relates to the technical field of icing prediction. The method comprises the following steps: acquiring multi-source environment data of a target power grid region; the multi-source environment data comprises topographic data and meteorological data; performing terrain analysis on the target power grid region based on the terrain data to obtain terrain complexity of the target power grid region; correcting the meteorological data based on the terrain complexity to obtain updated meteorological data; constructing a three-dimensional environment model of the target power grid region according to the updated meteorological data; and carrying out icing prediction on the target power grid region through the three-dimensional environment model. By adopting the method, the icing prediction accuracy can be improved.

The invention discloses a topographic engineering feature extraction method based on visual identification, and belongs to the technical field of hydroelectric and hydraulic engineering topographic map visual identification. Comprising the following steps: S1, establishing a training label sample library in combination with a topographic image and acquired topographic analysis data, and dividing the training label sample library into a training set and a test set; s2, training a lightweight deep learning model of a full convolutional neural network by using the training set, and establishing a terrain engineering feature extraction model based on visual identification; s3, verifying the topographic engineering feature extraction model until the topographic engineering feature extraction model is obtained, and extracting topographic features based on the trained topographic engineering feature extraction model; through the advanced computer vision technology, remote sensing images and topographic data can be efficiently analyzed, and key engineering features in the topography can be accurately extracted.

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.

An integrated physiological monitoring system and method for tracking movement efficiency in various activities, including cycling. The system comprises a flexible substrate for skin contact, with integrated sensors for measuring perspiration, heatflux, heart rate, and gastric emptying rate as well as a GPS positioning system for tracking distance, velocity, and elevation. The system's programmable logic calculates energy expenditure and movement efficiency metrics, such as calories per mile and calories per mile-per-hour, based on the combined physiological and GPS data. The system also features a wireless communication system for transmitting these metrics to multiple display devices, including smartwatches, smartphones, and bicycle handlebar-mounted displays. Real-time efficiency optimization recommendations are also provided based on current physiological state, GPS-derived terrain analysis, and target performance goals.

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 provides a universal programming implementation method and device for generating a terrain analysis report as a doc document. The method comprises the following steps: acquiring a terrain analysis result to be processed; calling a general function pre-configured in a function library, and creating an HTML main document corresponding to the terrain analysis result; the method comprises the following steps: encoding an HTML main document and image contents to obtain a document character string and an image character string, integrating the document character string and the image character string, dynamically generating a demarcation symbol and intelligently controlling the number of inserted empty lines in the integration process to obtain an identifiable file of office software; and the office software analyzes the recognizable file to obtain the terrain analysis report in the doc document format. The method has the advantages of good cross-platform support, few dependent libraries, simple development environment configuration, easiness in generation and debugging and the like.

This application provides a method and system for road planning in wind and solar power plant areas based on terrain analysis. The method processes digital elevation model data and vehicle turning radius parameters of the wind and solar power plant area, performs hierarchical reconstruction and optimization, generates optimized sampling data, and constructs a road network using this data. Based on the road network data, further path optimization is performed to obtain a path candidate set. Finally, through electric field layout and equipment adaptation algorithms, construction adaptability processing, and safety smoothing correction methods, final road path data suitable for the wind and solar power plant area is generated. This improves road planning accuracy, enhances construction adaptability, meets the actual needs under different terrain conditions, avoids the problem of traditional path planning failing to reasonably integrate local environmental characteristics and operational safety requirements, and effectively improves the feasibility of wind and solar power plant road planning.

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 application discloses an image processing measurement method and system based on a UAV radar and oblique photography, relates to the technical field of oblique photography image measurement, and is used for solving the problem of reduced accuracy of region division and abnormal detection results, obtaining high-resolution forest images through UAV oblique photography, generating vegetation distribution characteristics by combining radar echo amplitude to calculate vegetation change gradient, extracting the ground under the forest and generating uniform extrapolation points, laying out an inclinometer to obtain elevation and coordinates, calculating local slope and tree crown fluctuation amplitude, constructing terrain survey features and dividing regions, counting the proportion of the ground under each region, evaluating the vegetation coverage state of the region and screening abnormal regions, marking and outputting the extrapolated ground points of the abnormal regions, realizing high-precision survey of forest areas, accurately reflecting the complexity of the terrain and the vegetation distribution characteristics, providing reliable data support for forest management and terrain analysis, and improving survey efficiency and precision.

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 discloses a terrain analysis method and device based on a knowledge graph of an SAR satellite and a storage medium, and the method comprises the steps: determining a target region, and constructing a knowledge graph corresponding to the target region based on an obtained first SAR image corresponding to the target region; constructing a first-level display interface for displaying the first SAR image and a plurality of entity types in the knowledge graph, and sending the first-level display interface to terminal equipment in communication connection; in response to a first generation instruction sent by the terminal equipment, constructing and sending a second-level display interface used for displaying a second SAR image corresponding to the target entity type, the target entity type, a target entity relationship corresponding to the target entity type and a local knowledge graph corresponding to the target entity type and the target entity relationship; and in response to a second generation instruction sent by the terminal equipment, constructing and sending a third-level display interface used for displaying the knowledge graph and the entity list.

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.

The present invention discloses a method for calculating and displaying radar blind spots based on terrain analysis, which relates to the field of military equipment capability analysis and mapping display of command automation systems. Based on line-of-sight analysis, the method first calculates the obstruction points and tangent segments between the radar and the terrain in the scanning direction through binary search, then uses the equation of the tangent segment in the scanning direction and the equation of the geodetic ellipsoid at different altitudes to directly calculate the intersection point, and obtains the maximum detection range of the radar at the same altitude by connecting the intersection points of the tangent segments of all scanning directions on the ellipsoid at the same altitude. The obstruction lines and contour lines at different altitudes are drawn and displayed using different colors and line widths. The present invention has the characteristics of a simple, efficient and reliable calculation method, adaptability to various geographic computing platforms, concise and intuitive expression on a two-dimensional map, adaptability to parallel computing platforms, and the ability to adjust the calculation accuracy as needed and adaptability to various radar parameter types.