74 results about "Terrain analysis" patented technology

An omnidirectional treadmill environment simulator is disclosed. The omnidirectional treadmill environment simulator includes a circular simulator stage area, a plurality of transport mechanisms that maintain an object at or near the center of a circular simulator stage area and at least one processor. The processor is configured to collect position data of the object and process the position data to control the transport mechanisms. Also included is a receiver for receiving data from a remote location and a terrain analysis computer for processing the data received from the remote location. The terrain analysis computer collects the data received from the remote location to form an accurate simulation of an upcoming condition at the remote location. The omnidirectional treadmill environment simulator includes a transmitter for transmitting the position data to a remote location.

The invention provides an unmanned aerial vehicle patrol and search-and-rescue system based on multi-sensor fusion and a search-and-rescue method. The unmanned aerial vehicle patrol and search-and-rescue system comprises a signal emitter, an unmanned aerial vehicle search-and-rescue system and a ground rescue center, wherein the signal emitter is arranged on a wearable wristband and is used for sending rescue point position information, and the unmanned aerial vehicle search-and-rescue system and the ground rescue center are used for determining personnel positions and personnel information, recording terrain and determining rescue routes. According to the unmanned aerial vehicle patrol and search-and-rescue system based on the multi-sensor fusion and the search-and-rescue method, a flightsub-control system of an unmanned aerial vehicle is composed of a quad-rotor autonomic unmanned aerial vehicle, an image and quantity acquisition and processing module, a signal transmission module and a terrain analysis and route planning module, and can make fast reaction and collect and analyze image information in real time; and image processing is adopted to perform automatic human body recognition, the recognized information is subjected to data matching with a database, whether target personnel are searched or not is determined, and meanwhile, the number of trapped personnel is determined.

A three-dimensional terrain trafficability analytical method for an autonomous land vehicle comprises the step of information perception, wherein movement state information and environmental information of the current vehicle are obtained; the step of track searching and generation, wherein track preliminary searching is carried out according to the current vehicle position and a final target position, and a local track set of possible movements of the vehicle is generated; the step of terrain analysis, wherein the contour line of the current terrain is drawn according to obtained terrain altitude data, the intersection point of a candidate track and the contour line is found according to a vehicle speed v, the terrain characteristics of track curved sections formed by a lower intersection point of the contour line and the current position of the autonomous land vehicle are analyzed, and a basic terrain factor is calculated; the step of trafficability analysis, wherein the cost of each track curved section formed when the vehicle passes is calculated by combining dynamic constraints and kinematical constraints of the vehicle, so that a cost chart is constructed; and the step of route planning, wherein the optimal route is searched with the cost chart serving as heuristic information. The three-dimensional terrain trafficability analytical method for the autonomous land vehicle has the advantages of being simple in principle, easy and convenient to operate, high in identification accuracy, efficient in calculation and the like.

The invention relates to a rapid parallelization method of a totally-distributed type watershed eco-hydrology model. The method is that grids serve as basic computing units, through the digital elevation model (DEM) terrain analysis, a watershed grid flow diagram is obtained and the computing dependency relationships of the grids are established, eco-hydrology process simulations of the vertical direction of the grid units serve as independent computing tasks, the grid unit computing tasks are decoupled according to the dependency relationships among the grid units, a task tree is constructed, a data bank available group (DAG) model is adopted to express the task tree, a task scheduling sequence is generated dynamically by utilization of the DAG model and the marginal elimination dynamic scheduling algorithm, the grid computing tasks are distributed to different nodes to compute through a portable batch system (PBS) dynamic scheduler, and parallelization of the totally-distributed type watershed eco-hydrology model is achieved. The rapid parallelization method of the totally-distributed type watershed eco-hydrology model has the advantages that operation is easy, practicability is strong, parallel logic control of the parallelization processing algorithm is greatly simplified, the parallel computing efficiency is effectively improved, and the parallel stability is improved.

The invention discloses a site selection method for immigrant settlement areas based on a geographic information system. The method comprises the following steps of: 1) by using a spatial analysis technology, which comprises terrain analysis, buffer area analysis and superposition analysis, of the geographic information system, establishing a spatial site selection model, and thus obtaining a series of candidate points / areas; 2) establishing an evaluation index system of settlement areas, acquiring each index data of the candidate settlement areas, and entering a database; 3) performing dimensionless standardization on an original matrix of each evaluation index of the candidate settlement areas; 4) determining the weight of each evaluation index by using a composite even weighting method based on an information entropy theory; and 5) based on a fuzzy mathematical theory, performing quality sequencing on the candidate settlement areas by using a fuzzy adjacency ratio method. The method has an important practical application value in the site selection of the immigrant settlement areas of water and electricity engineering and has wider application prospect.

The embodiment of the invention provides a radar blind area analysis method and device, and belongs to the technical field of detection. The radar blind area analysis method comprises the steps that the location and the scanning range of radar are determined, and a terrain analysis model is constructed according to preset line selecting and drawing density and point taking density; digital elevation model data are converted into digital elevation model grid maps; the elevation value of each azimuth node and the straight-line distance between each azimuth node and the radar are acquired according to the digital elevation model grid maps, and the elevation absolute difference value of each azimuth node is calculated; and blind area analysis is performed according to the straight-line distance between each azimuth node and the radar, the elevation absolute difference value of each azimuth node, the analytical precision of the radar and the pre-stored terrain information of the digital elevation model grid maps, and the result of blind area analysis is displayed. The calculation steps, the calculation amount and calculation time consumption of calculation of radar blind areas can be effectively reduced.

The invention relates to a design method of a water conveyance system. The steps comprise terrain analysis, regulation and storage node site selection, regulation and storage node analysis, engineering parameter confirmation, and water distribution network design parameter selection. The terrain analysis and the regulation and storage node analysis are adopted, the safety and social factors of a regulation and storage node are fully considered, and the design technology problem and related social and environment protection problems of the tail end of a water transfer project are solved to the maximum degree. Meanwhile, a supply and demand balance model is established for solving the contradiction among water transfer, water supply and water use, a roughness factor and the design elements of a water supply network are fully considered, and the regularization process of water transfer project design is achieved.

The invention discloses a parallel analysis of digital terrain oriented data splitting and distributing method, and belongs to the crossing technical field of digital terrain analysis and parallel computing. The method comprises the following steps: (1) reading DEM (digital elevation model) data, and establishing a data granularity model; (2) calculating the granularity of the minimum data based on a memory paging schedule strategy; (3) calculating the granularity of composite data based on a quadtree storage strategy; (4) calculating a calculation method and a cutting mode of the numbers of retardant rows and lines of node data granularity; (5) calculating the distribution number of node data based on the composite data granularity; and (6) distributing node data by a main node accordingto the distribution number of nodes. The method provided by the invention is independent of the number of idle nodes, the composite data granularity is used as a basic unit of node data distribution,so that the communication amount of data is reduced; and load balance is guaranteed among calculated nodes with the same performance.

The invention discloses a detection, recognition and location method for a ribbon underground target in a mountain land by detecting the ridge position in the mountain land environment and carrying out energy correction. The method belongs to the cross fields of pattern recognition, remote sensing technology and terrain analysis. The ribbon underground target can generate unusual energy as the heat field of the ribbon underground target is different from that of a mountain body, the heat island effect of the ridge can also cause the unusual energy of the mountain body, but the unusual energy due to the heat island effect is essentially different from the unusual energy caused by the underground target in the aspect of mode, therefore, the invention aims to realize the effect of reducing the detection recognition false alarm rate of the ribbon underground target in the mountain land environment by eliminating the influence of the weak energy unusual mode of the heat body effect of the ridge to the ribbon underground target. The detection method based on ridge energy correction for the ribbon underground target in the mountain land comprises the steps that the terrain elevation information is obtained, the digital elevation information is subject to noise reduction preprocessing, the ridge line is detected, the energy at the ridge position is corrected, and the ribbon underground target is detected.

A system for path finding and terrain analysis. The system includes at least one processing unit, a graph processing unit and an artificial intelligence logic unit. A local bus is coupled to the at least one processing unit, the graph processing unit, the artificial intelligence unit and a bus interface unit. A memory bus is coupled to said bus interface unit, the at least one processing unit, a data memory, and a program memory. The graph processing unit further includes a network of interconnected nodes. Each of said nodes have at least one digitally programmable delay unit.

The invention belongs to the technical field of parallel system fault tolerance, relates to a parallel recomputing method using redundancy computation for error detection and error correction on a computing task, and particularly provides a fast parallel recomputing method for logic division and secondary scheduling on the basis of a data block corresponding to an error task. The method comprises the following steps of: performing error detection based on a redundant computing strategy on the computing result of the data block; and performing recomputing on the basis of multi-thread error detection and process recomputing error correction. The method provided by the invention can be completely applied to fault-tolerance processing occasions of high-performance calculation of parallel digital terrain analysis of large-scale mass data, such as the terrain factor extraction of rule grid parallel interpolation, slope and aspect parallel computing, depression filling and leveling-up parallel computing and the like; the method can be applied to high-performance computing of geographic information processing, and can also be applied to the application occasions of space decision analysis based on geographic information, data mining and the like; and the processing efficiency is improved.

The invention relates to a high-precision riverway flood inundated area generation method for mass DEM (Digital Elevation Model) data. The method comprises the following steps of: performing stripe division on the mass DEM data; performing run length compression storage on a plurality of continuous inundation units on grid lines in stripes to reduce a data size; and finally extracting inundation ranges by virtue of a compression unit boundary tracing method, thereby generating an inundated area under complex terrain conditions. The method changes the conventional inundation source seed point filling method into grid compression storage and grid boundary tracing calculation, so that a large grid data size is processed with small memory configuration; and at the same time, a large amount of recursion judgment in the seed point filling method is avoided, and thus the computing speed is improved. The method fully utilizes digital terrain analysis and data compression storage technologies, avoids the problems generated by mass DEM data inundation analysis in the seed filling method, can be used for well performing connected domain analysis on complex terrain environments with rivers and lakes, and generates the wide-range and high-precision river and lake flood inundated area.

The invention belongs to the technical field of active radar hyperspectral remote sensing, and discloses an unmanned aerial vehicle active radar hyperspectral detection system and method for marine environmental monitoring. The unmanned aerial vehicle active radar hyperspectral detection system comprises a laser emission system, an optical receiving system, a photoelectric detection unit, a data acquisition and storage unit, and a signal processing and control unit. According to the unmanned aerial vehicle active radar hyperspectral detection system, an unmanned aerial vehicle is used as a carrier to combine a laser radar and hyperspectral imaging on the same instrument, and visualized spatio-temporal distribution images and fluorescence hyperspectral data of target components are obtainedby remote sensing. A variety of marine parameters can be obtained through information extraction, and are used for measuring the oil-spilled pollution in seawater and the content of soluble organic matters and chlorophyll in seawater so as to realize the monitoring of water quality. The integration of multiple sensors provides reference for the identification and analysis of a target; and the system and the method improve the ability of information obtaining and the ability and accuracy of terrain analysis, reduce the cost of remote sensing detection and are conducive to the development of the field of spectral detection.

The invention discloses a parallel digital terrain analysis-oriented massive DEM (Digital Elevation Model) deploying and scheduling method which comprises the following steps of: firstly, initializing a parallel application program, simultaneously obtaining parallel computing environments and various parameters of a DEM by all computing nodes; secondly, executing a serial algorithm by all computing nodes according to a local data block and a buffer region, updating corresponding data of the buffer region if necessary; thirdly, scheduling a parallel computing granular control module for counting and updating granularities of data computed in parallel until the parallel computing efficiency is optimal; and fourth, generating a result file, to be specific, recycling various memories applied by a parallel terrain analysis application, clearing temporary memories and irrelevant external memory data, updating a journal file, counting and recording time of all nodes executing different operations every time so as to bring the convenience for repeated execution of the terrain analysis algorithm, carrying out result fusion and post-operation, and finally outputting the result file. The parallel digital terrain analysis-oriented massive DEM deploying and scheduling method has a wide industrial application prospect.

The invention belongs to the technical field of the cross of digital terrain analysis and parallel computation, and relates to a parallel digital terrain analysis optimization method based on a distributed memory. The parallel digital terrain analysis optimization method comprises a model for the data distributed granularity and the results fusion granularity of parallel digital terrain analysis, a computation method of the mode, a data sequence distributing and scheduling strategy on the basis of the distributed memory, an optimization method of a data fractionation block number which considers the starting and closing expenditure of a computation node, and a cluster node configuration parameter selection method based on an optimal data block number. The parallel digital terrain analysis optimization method can be completely applied to a data fractionation and cluster parameter selection occasion of the high-performance computation of the parallel digital terrain analysis of large-scale mass data, such as the terrain factor extraction of a regular grid parallel interpolation, terrain slope and orientation parallel computation, depression filling parallel computation and the like, can be applied to the high-performance computation of geographic information processing and also can be applied to application occasions, such as spatial decision analysis based on the geographic information, data mining and the like, and processing efficiency is improved.

The invention belongs to the technical field of parallel systems, and relates to quantitative study of data partitioning and parallel scheduling strategies, in particular to a dependency-based parallel computing method for intensive data. The dependency-based parallel computing method for the intensive data comprises the steps that a partitioning method of the intensive data is determined; parallel computing modeling is conducted on the intensive data, and a corresponding parallelization strategy is provided; strategy scheduling is conduced based on the parallel computing modeling and the parallelization strategy. The dependency-based parallel computing method for the intensive data can completely be applied to high-performance computing occasions of parallel digital terrain analysis of large-scale mass data, such as extraction of terrain factors which relate to regular grid parallel interpolation, gradient and exposure parallel computing, depression filling-up parallel computing, analysis of terrain within a visible range and the like. The dependency-based parallel computing method for intensive data can also be applied to high-performance computing of geographic information processing and occasions such as space decision analysis and data mining which are based on geographic information. Processing efficiency is improved.

The invention relates to an automatic processing method for real-situation cases of DTA (Digital Terrain Analysis) modelling knowledge. The automatic processing method for the real-situation cases of the DTA modelling knowledge comprises the following steps of quantitatively expressing a research area applied by digital terrain analysis as a quintuple group which contains five quantitative indexes, namely, grid resolution, area, relief amplitude, elevation-slope cumulative frequency two-dimensional tables, and area elevation integral values; taking a grid DEM (Digital Elevation Model) as input data; automatically processing the above five quantitative indexes by calling a grid data reading function of an open source grid GDAL (Geospatial Data Abstraction Library) and part terrain factor calculating module of geographical information system software ArcGIS, wherein the obtained digital terrain analysis modelling knowledge cases can be used for performing quantitative evaluation on the availability of existing digital terrain analysis modelling knowledge in a certain research area in other research areas. According to the automatic processing method, human intervention is reduced, and technical support can be provided for the real-situation cases of the DTA modelling knowledge and applicable range speculation.

The invention discloses a scale adaptive visual field analysis method, which comprises the following steps of: judging the visibility of a current point by adopting an effective multiplexing strategy in a continuous terrain on an LOS terrain section and utilizing the visibility of a front point through continuity and alternation of a visual area and an invisible area on the LOS terrain section to obtain the visibility of each sampling point on the terrain section, reducing a large amount of calculation redundancy, and well improving the efficiency of an algorithm; constructing a plurality of profiles in a visual analysis area, and when the distance between LOS terrain profiles exceeds the DEM precision, adding new profile terrain analysis, so that the sampling precision of visual range analysis is improved. According to the invention, the calculation efficiency of visual field analysis is greatly improved, and efficient terrain visual field analysis can be carried out under the condition of large-scale data.

The invention discloses a method for generating a real-time landscape painting characteristic line and carrying out proper rendering, and the method at least comprises the following steps: 1, obtaining a real-time characteristic line through the terrain analysis, and carrying out the rendering and display; 2, improving the effect of a topographic characteristic line through carrying out the analysis of the terrain characteristic elements and employing the obtained data for processing, and carrying out the proper rendering of an image. The method simulates the real-time landscape painting characteristic line and the rendering effect based on a true terrain, can extract the landscape painting characteristic line in real time, and can obtain the simulation effect of the line edge of a landscape paint. The method is vivid in effect, is high in generation efficiency, can be applied to the manufacturing of an ink painting digital animation, is variable in mountain, is three-dimensional and visual, and improves the animation production efficiency.

The invention discloses a terrain path planning method based on a directed network. The method comprises the following steps that: (1) carrying out data preparation, and scanning DEM (Digital Elevation Model) regular square grid data; (2) selecting a unit adjacency mode constructed by the directed network; (3) constructing a primary directed network; (4) carrying out pruning processing to obtain the effective directed network; and (5) carrying out path planning, giving a starting point and an end point, adopting a Dijsktra algorithm to carry out path searching on the directed network, and finally, obtaining a globally optimal terrain path. The method can be completely applied to the optimal path planning application of a terrain analysis field of large-scale mass data, and can be used forimproving the efficiency and the global optimum of path planning.

The invention provides a method, a device and equipment for determining the terrain complexity of a point location of a wind generating set. The determination method comprises the following steps: selecting point position coordinates of a wind generating set to be established; establishing a region analysis range according to the point position coordinates; performing topographic data analysis onthe regional analysis range to obtain a topographic analysis result; and determining terrain complexity parameters of the point position coordinates according to a wind resource analysis result and the terrain analysis result. The method for determining the terrain complexity of point locations of the wind generating set is suitable for a regional characterization mode of wind power plant terrainanalysis, analyzes and describes the complexity of terrain or point locations according to the region, can better adapt to the conditions of wind power plant construction and early-stage theoretical analysis, and can quickly, efficiently and accurately judge whether wind generating sets are established for point location coordinates or not in combination with a wind resource analysis result.

The invention provides a map boundary automatic extraction method based on terrain analysis. The method comprises the steps: sending a point cloud data acquisition task to a vehicle-mounted terminal,so that the vehicle-mounted terminal travels along a specified region to acquire point cloud data, and uploads the point cloud data and vehicle driving track data; receiving the point cloud data and the vehicle driving track data, performing point cloud mapping according to the point cloud data, extracting digital elevation model data, and performing track cleaning on the vehicle driving track data; traversing the cleaned vehicle driving track, and executing single-point boundary search calculation on each track point according to the digital elevation model data to obtain a plurality of sections of ordered boundary geometries; and carrying out smoothing processing on each section of boundary geometry, and outputting map boundary data. According to the invention, the terrain analysis algorithm is applied to the high-precision map boundary extraction process of the strip mine, and the map making efficiency and precision are effectively improved.

The invention provides a DEM water flow direction calculation method based on elevation deviation transmission, and belongs to the technical field of digital terrain analysis. According to the technical scheme, the DEM water flow direction calculation method based on elevation deviation transmission is characterized in that a water flow path formed by water flow directions is close to a real moving path of water flow on the ground surface; a method for acquiring a higher-precision water flow path by using a DEM (Digital Elevation Model) is used for a hydrological physical model of a numericalsimulation water and pollutant transportation process. The method has the beneficial effects that the height deviation between the real elevation of the water flow reaching the downstream unit and thecentral elevation of the downstream unit is used as a transmission parameter to correct the water flow direction. Compared with a D8 method, the water flow path formed by the water flow direction iscloser to the real moving path of the water flow on the ground surface.

The invention discloses an earth and rockfill dam deformation earthquake damage quantitative evaluation method based on DEM digital terrain analysis. The method comprises the following steps: 1) constructing an earth and rockfill dam DEM model before and after an earthquake; 2) quantitatively analyzing the dam crest and dam slope subsidence or rise; 3) quantitatively analyzing the landslide of thedam body; and 4) quantitatively analyzing the overall displacement and deformation of the dam body. Through statistical analysis of domestic and overseas earth and rockfill dam earthquake damage, main characteristics of earth and rockfill dam deformation earthquake damage are summarized, and on the basis of using a real-time dynamic carrier phase difference measurement technology and meeting rapid and accurate acquisition of earth and rockfill dam deformation earthquake damage monitoring data after an earthquake, an earth and rockfill dam high-precision DEM three-dimensional entity ground model is constructed; through methods of spatial clustering analysis, digital terrain information extraction and the like, DEM three-dimensional dam body models before and after earthquakes of the earthand rockfill dam are compared, and dam body crack space attribute and distribution rule analysis, dam crest and dam slope subsidence or rise overall quantitative analysis, dam body landslide conditionand subsequent influence analysis and dam body overall displacement and deformation quantitative analysis are achieved.

A method for processing and analyzing digital terrain data utilizing Digital Terrain Elevation Data (DTED). The method comprises defining approach azimuth and visibility limitations angle which are used for defining directional fans by determining fan opening angle, fan azimuth, and maximal range for terrain analysis. At least one directional fan data set is constructed from at least one source point within the DTED, where the directional fan includes line of sight information between said source point and DTED points located within said directional fan. The method further comprises interrogating said data sets by one or more queries to obtain terrain information for given approach conditions.

The invention relates to a terrain environment database system suitable for multi-agent simulation. Architectures, data models and specific data tables and file formats of databases are designed. The system consists of a large-scale terrain relational service database, a terrain service database manager, a data conversion tool, a terrain analysis application database, a terrain visualization application database, a network data communication module and a database application programming interface (API). The system integrates database information service, personnel data processing and operation, and application operation, and the system is divided into two data layers, i.e. a data service layer and a data application layer, so that a multi-agent simulation system can access high resolution terrain data efficiently in real time, and management and maintenance of large-scale terrain data and terrain visualization simulation are integrated, thus providing data support for real-time environmental analysis and tactical decision-making of intelligence troops.

The invention provides a DEM water flow direction simulation method combining tangent plane curvature and a Dinf method, and belongs to the technical field of digital terrain analysis. According to the technical scheme, the method comprises the steps that S1, a DEM is loaded, grid units needing to calculate the water flow direction and eight adjacent units around the grid units are retrieved, thecenter points of the grid units are connected to divide eight triangular planes needed by the Dinf method, the Dinf flow direction is calculated, and the Dinf flow direction is set to be increased clockwise with the due north direction as 0 degree; s2, a triangular plane where the Dinf flow direction is located is determined, and section curvatures of vertex units in two downhill directions on theplane are calculated; and S3, the Dinf flow direction is corrected by using the tangent plane curvature. The method has the beneficial effects that the Dinf flow direction is rotated towards the convergent downhill direction, so that the obtained water flow direction is closer to the characteristic that the water flow direction converges towards valleys under the real condition.

The invention provides a non-dispersive water flow path simulation method based on DEM and flow collection, and belongs to the technical field of digital terrain analysis. According to the technical scheme, the method comprises the steps of gradually determining the position of a flow collection point of each grid from high to low according to the elevation, simulating the process that the flow flows from the collection points in the local drainage direction, determining a downstream unit of each DEM grid unit, and finally connecting out a non-dispersive water flow path. The method has the beneficial effect that the method for better simulating the flowing process of the water flow on the earth surface is provided for the DEM-based hydrological model.