74 results about "Terrain analysis" patented technology

The invention belongs to the technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention provides a wind and light power station area road planning method and system based on terrain analysis. According to the method, digital elevation model data and vehicle turning radius parameters of a wind and light power station area are processed, layered reconstruction and optimization are carried out, optimized sampling data are generated, and a road network is constructed by using the optimized sampling data; path optimization is further carried out based on the road network data to obtain a path candidate set, and final road path data suitable for the wind and light power station area is generated through an electric field layout and equipment adaptation algorithm, construction adaptability processing and a safe and smooth correction means, so that the road planning precision is improved, the construction adaptability is enhanced, and the construction efficiency is improved. The actual requirements under different topographic conditions are met, the problem that local environment characteristics and operation safety requirements cannot be reasonably integrated in traditional path planning is avoided, and the feasibility of wind and light power station road planning is effectively improved.

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 discloses a parallel evolutionary solution method for search space segmentation, comprising: S1, randomly generating solution schemes via a search space sampling and segmentation module, calculating fitness values by combining initial sample schemes with an optimization objective function, statistically screening sample schemes, determining the dimension direction K of the segmented search space, and dividing the search space into subspaces; S2, executing a global search algorithm in the segmented subspaces to obtain a global initial solution scheme; S3, using the global initial solution scheme as a starting point, obtaining a precise solution scheme via a local search algorithm. This method employs evolutionary sampling of the search space, deriving fitness terrain analysis results, and guiding the division direction and step size of the search space. Multiple search subspaces are segmented to enable parallel search for subsequent evolutionary calculations.

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 belongs to the technical field of digital terrain analysis and artificial intelligence crossing, and particularly discloses an automatic identification method and system for basins in DEM data based on a neural network. The method comprises the following steps: adaptively determining a topographic relief amplitude analysis window based on a mean value point change method, and extracting an initial plain area by combining elevation, gradient and topographic relief amplitude; noise is eliminated through morphological optimization (hole filling and edge smoothing), a buffer area is constructed, and key terrain factors such as elevation and gradient change rate are screened to generate multi-channel feature data; dividing landform types by using ISODATA dynamic clustering, and outputting binary basin data; an improved ResUNet + + network (integrating multiple encoders, a cavity space pyramid and a channel attention mechanism) is adopted for end-to-end training, and refined segmentation of a complex boundary is achieved. The method supports cross-regional generalization testing, can realize high-precision basin identification in drought and moist landform scenes, and can be widely applied to the fields of resource exploration, ecological protection and disaster prevention and control.

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 relates to the technical field of positioning navigation and map construction, in particular to a two-dimensional map terrain marking method based on multi-frame point cloud fusion data. According to the method, by fusing multiple frames of point cloud data, the accuracy and reliability of terrain marking are improved, and continuous terrain change information is provided for a dynamic environment. The method comprises the steps of constructing a two-dimensional map, obtaining fusion point cloud data of each grid region, dividing the fusion point cloud data into a plurality of grid regions in a three-dimensional space, obtaining a terrain category of each grid region, and carrying out terrain marking on the grid regions based on the number of each terrain category in the fusion point cloud data. According to the method, the limitation of the traditional single-frame point cloud data in terrain labeling is solved, and the accuracy of terrain analysis and the processing efficiency of terrain labeling are improved.

The invention discloses an irregular topographic surveying and mapping system and method based on a remote sensing technology, belongs to the field of topographic surveying and mapping, and solves the problem of poor precision and accuracy of irregular topographic surveying and mapping in the prior art. Reliability and accuracy of remote sensing data can be ensured, geometric correction and radiation correction are performed on the remote sensing data through the data processing unit, distortion and errors can be eliminated, accuracy of the remote sensing data can be improved, then extracted terrain data are transmitted to the terrain analysis unit, and data transmission state and channel transmission quality are monitored during transmission. The reliability, the safety and the efficiency of data transmission are effectively improved, and the terrain analysis unit performs data analysis and visual display on the terrain data so as to complete surveying and mapping work on irregular terrains and facilitate visual understanding and explaining of terrain features.

The invention belongs to the technical field of image processing, and discloses an underwater dredging robot terrain recognition method and system, and the method comprises the steps: obtaining an illumination attenuation coefficient through the shooting depth and plankton information, accurately correcting the influence of illumination on an image, and carrying out the brightness adjustment of the image based on the illumination attenuation coefficient, so as to enable the terrain features to be more prominent. Utilizing Laplace decomposition to obtain a multi-layer topographic image, and realizing multi-scale analysis; the accuracy of terrain analysis is improved by screening an edge texture region; the defogging weight is determined in combination with the illumination attenuation coefficient, and the dark channel prior is adopted for defogging recovery, so that the defogging effect is effectively removed, and the image visibility is improved. And reconstructing and synthesizing a complete image through an inverse Laplacian pyramid to obtain an underwater topographic image of which the quality is comprehensively improved, and further obtaining underwater topographic information. The method not only improves the image quality, but also achieves the precise analysis and recognition of the underwater topography, and provides powerful technical support for the research of the underwater topography.

The invention relates to a subway station waterlogging risk rapid assessment method based on system water balance, and the method comprises the following steps: S1, dividing a research region through terrain analysis and pipe network partitioning, and taking a catchment region where a subway station is located as an independent system; s2, calculating system inflow Wr by utilizing the designed rainstorm intensity and the comprehensive runoff coefficient; s3, calculating the system displacement Wp based on the design standard of the research area pipe network; s4, calculating the water accumulation amount Wj of the system through a water balance equation; s5, calculating system capacity W0 by means of terrain elevation data and a GIS tool; and S6, judging whether a waterlogging risk exists in the research area or not by comparing calculation results of the system water accumulation amount Wj and the system capacity W0. According to the method, rapid assessment of the metro station waterlogging risk at the initial stage is realized, the data requirement of metro station waterlogging assessment is reduced, and the required cost and time are reduced.

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 present invention discloses a complex terrain analysis method based on the fusion of airborne LiDAR and spaceborne multispectral images, comprising: acquiring multispectral images and point cloud data; generating a depth map based on the point cloud data; performing rough registration on the depth map and the multispectral images to obtain rough registration point pairs; establishing a two-dimensional to three-dimensional conversion model by using the rough registration point pairs and the elevation values of the point cloud data; determining the fine registration coefficient through a search algorithm with the maximum mutual information value between the point cloud depth map and the multispectral images as the measure; converting the multispectral images according to the fine registration coefficient and the conversion model to obtain converted images; performing dynamic feature fusion on the converted images and the point cloud data to generate fusion data; generating a contour topographic map by using elevation information and displaying it in the multispectral images; and analyzing the complex scene in cooperation with the contour topographic map and the fusion data. The present invention reduces the time cost, improves the registration and fusion efficiency of heterogeneous data, and provides support for the analysis of complex scene conditions.

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 present invention discloses a method for site selection and route selection of power transmission and transformation lines based on AI intelligence, which relates to the field of power transmission. It solves the problem that the existing methods for site selection and route selection of power transmission and transformation lines have poor application effects, and includes the following steps: Step S1: Divide the planning area of the power transmission and transformation line into multiple candidate line areas, respectively conduct regional terrain analysis on each candidate line area, and obtain line terrain survey data according to the analysis results; Step S2: Conduct analysis on the connection angles of transmission towers and poles for the candidate line areas according to the line terrain survey data, and obtain tower pole angle survey data according to the analysis results; Step S3: Select the site of the power transmission and transformation line according to the line terrain survey data to obtain the selected area of the power transmission and transformation line. In the selected area of the power transmission and transformation line, select the route of the power transmission and transformation line according to the tower pole angle survey data to obtain the selected power transmission and transformation line. The present invention can improve the accuracy of the method for site selection and route selection of power transmission and transformation lines.

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 invention discloses a carbon emission reduction prediction device and method based on carbon emission data and a support vector machine, and the device comprises a digital twin modeling module which is used for generating a digital terrain model through laser radar scanning and satellite remote sensing data, and constructing a three-dimensional terrain model based on a fractal algorithm; the terrain analysis module is used for inputting a digital terrain model, analyzing terrain features through a machine learning algorithm and outputting vegetation types suitable for planting of the terrain and an air purification species recommendation scheme; the dynamic carbon emission evaluation module is used for collecting real-time environmental parameters and historical data and calculating a carbon emission evaluation value of the current region; and the emission reduction solution generation module is used for generating a plurality of emission reduction schemes in combination with the terrain analysis result when the carbon emission evaluation value does not reach the standard, analyzing the terrain through the detected target area terrain and the support vector machine, and determining a carbon emission scheme through the predicted carbon emission evaluation value, so that the method is more intelligent and reliable.

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.

The invention relates to a hybrid map construction method for an unstructured orchard environment, and the method comprises the steps: obtaining the panoramic image data of an orchard, and constructing an orchard topological map through an image processing and terrain analysis technology; obtaining point cloud data of an unstructured orchard, and constructing an orchard semantic map; obtaining an unstructured orchard depth map, and constructing an orchard Euclidean distance field map; the orchard semantic map is in spatial association with the orchard topological map and the orchard Euclidean distance field map, and an orchard mixed map is obtained; and performing semantic map time association on the orchard environment at different time to update the orchard hybrid map.

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.