155 results about "Data model (GIS)" patented technology

A system is provided that simulates cartographic features of an electronic map. The system employs one or more geometric shapes, such as a clothoid, to represent cartographic features of the electronic map. The system may more accurately and realistically describe the cartographic features of the map than a straight line system. The system may include a data model and methodology for converting data from a straight line system to a clothoid system. The system may also reduce the amount of memory capacity needed to describe the cartographic features of the electronic map. The electronic map may be displayed on a computer network, such as a wide area network, a local area network, a wireless or wireline network, Intranets or the Internet. This system may also be used with other systems, such as navigation systems.

The invention discloses an enterprise association relation topology establishing method based on a picture model. The establishing method comprises the following steps of model establishment, wherein a picture data model is constructed, a picture data structure of the picture data model comprises nodes, relations and attributes, the relations are used for describing association relations among the nodes, and the nodes and the relations have their own attributes respectively; data recording, wherein association relation data is obtained and is input into the picture data model; structure construction, wherein the picture data model establishes association among the nodes according to the relations to generate an association relation topology represented by the picture data model. The invention further discloses a graphical query method based on the graphical data model.

The invention discloses a multi-camera cooperative target tracking method based on deep learning. The method is characterized in that a Faster R-CNN is adopted to carry out target detection; obtainingthe real position information of the target through the mapping relation between the image coordinates and the plane geographic space coordinates; target detection and tracking in a multi-camera video monitoring scene are realized, and the method specifically comprises the steps of constructing a spatial data model of a video monitoring system, constructing a mapping model, performing target detection based on deep learning and performing multi-camera cooperative target tracking. Compared with the prior art, the method has the advantages that the target tracking task is undertaken by screening one camera; the specific target is identified, positioned and tracked in a multi-camera video monitoring scene, the intelligent degree of a video monitoring system is improved, and the problems thatimage information is discrete, information is difficult to integrate, and the specific target is identified, positioned and tracked are well solved.

The invention discloses a three-dimensional data engine system based on geographic information, and relates to the technical field of geographic information processing and application. The three-dimensional data engine system is characterized in that a GIS (Geographic Information System) data model module, a metadata management module, a database access abstract module, a geometric figure module and a database access module form a complete system. The system can effectively solve technical problems including two-dimensional and three-dimensional data integration management on the basis of the geographic information data, the organization, the retrieval and the analysis of spatial data, the organization and the management of a three-dimensional scene, the dispatching of mass data and the like. Meanwhile, the compatibility of a geometric data format and an OGC (Open GIS Consortium) international standard is realized, and interconversion with a geometric object defined by the OGC international standard can be realized. Different operations are carried out aiming at databases, data engines and data service of different interfaces, and therefore, data can be correctly accessed and updated. Corresponding application expansion can be carried out aiming at the change of the databases.

Multi-dimensional temporal data can provide insight into patterns, trends and correlations. Traditional 2D-charts are widely used to support domain analysts' work, but are limited to present large-scale complicated data intuitively and do not allow further exploration to gain insight. A visual analytics system and method which supports interactive analysis of multi- dimensional temporal data, incorporating the idea of a novel visualization method is provided. The system extends the ability of mapping techniques by visualizing domain data based on a 3D geometry enhanced by color, motion and sound. It allows a compact universal overview of large-scale data and drilling down for further exploration. By customizable visualization, it can be adapted to different data models and applied to multiple domains. It helps analysts interact directly with large-scale data, gain insight into the data, and make better decisions.

The invention discloses a method for establishing a full-space-oriented data model based on Hash geocoding, which comprises the following steps of: S1, scheduling P2P protocol files based on Hash plaintext geocoding indexes, and respectively generating Hash-based geocoding for nodes and files for indexing; s2, establishing a data node network based on a Hash geocoding index; s3, building and evaluating a global virtual environment data sharing prototype and an experimental platform; s4, making a multi-granularity coding rule; s5, spatial object big data storage based on Hash geocoding is carried out; s6, designing NoSQL database. The method has the advantages that support is provided for establishment of a multi-granularity space-time database or a full-space information system; and unification of relative positions between the data storage environment and objects in the real world is realized.

The invention discloses a drilling data model construction method based on BIM, and the method comprises the steps: building a spatial information database according to various types of exploration data, and then carrying out the building of a drilling data model: reading the exploration data of modeling region surface point cloud data or contour lines from the spatial information database, and automatically building a surface model; reading the drilling data of the modeling area from the spatial information database, and automatically creating a drilling data model; judging whether the groundsurface model conflicts with or is unreasonable with the ground surface generated by the drilling data model or not, and if so, correcting the drilling data of the modeling area; and if not, automatically numbering and loading user-defined attribute information, and outputting/storing the drilling data model. According to the method, automatic modeling is achieved, seamless butt joint of the building BIM model can be achieved, the simulation performance of traditional BIM application such as early-stage planning design, earthwork calculation and site construction simulation can be greatly improved, and the accuracy of geologic body numerical analysis in the engineering geology field is greatly improved.

The invention provides a three-dimensional map vector tile data generation method, a storage medium and a terminal. The method includes: using a unit cube to divide a three-dimensional space of a three-dimensional geometric data model; firstly, constructing a visual domain cube based on a unit cube where a viewpoint position is located; secondly, performing intersection relation judgment on all three-dimensional models in the three-dimensional geometric data model and the visual domain cube to obtain a potential three-dimensional model set in the visual domain cube; taking the center of the unit cube where the viewpoint position is located as a viewpoint to perform occlusion screening on the potential three-dimensional model set to obtain a visible three-dimensional model set, and finallygenerating vector tile data of the visible three-dimensional model set. According to the method for generating the three-dimensional map vector tile data, screening is carried out before the vector tile data is generated, only the visible three-dimensional model set in the visible range cube is loaded each time, and the vector tile data of the visible three-dimensional model set is generated, so that the data volume is small, and the generation speed is high.

The invention discloses a method for monitoring hydrological area pollutant, and the method includes: 1, integrating a SWAT soil water evaluation model and a geographic information model, and evaluating and calculating NH4, TN, TP, COD and sediment content in the hydrology area by using area geographic information; 2: according to the content of pollutants, dividing the color of the sub-region into four levels: green, light green, yellow and red according to the classification rules of pollutants; 3: according to the content of pollutants, drawing out the change trend of pollution index of specified river and specified pollution points and sources; 4: according to the geographic information model, obtaining and adjusting of parameters of the pollution points and sources and new added pollution points and sources, and executing the step 1 until required pollution points and sources are completed; implementing data calculation, display, data output and early warning of hydrological area. The soil water evaluation model is combined with the geographic information model, which improves the calculation accuracy, solves the problem that general data model is not intuitive and is difficult to govern, so that the early warning is clear and intuitive.

The invention provides a specialized modeling analysis method and system based on a digital energy system. The method comprises the steps of building an HY-CIM digital model based on a power grid physical model and a spatial data model specification; obtaining a power grid application service scene, and constructing basic power equipment resource data of spatial range retrieval of the digital energy system in combination with an HY-CIM digital model; through a personalized power symbol display scheme, completing graphic parameter supplementation of equipment model modeling, and forming business scene rendering data in a geographic space range in combination with basic power equipment resource data; and based on the business scene rendering data, carrying out symbolization rendering on the digital energy system and storing corresponding topological data to realize specialized equipment modeling. Specialized modeling is achieved, topological data storage is achieved, and then the maintenance efficiency and the electric energy calculation and analysis efficiency are improved.

The invention discloses a method and a system for processing medical images, wherein the method for processing the medical images comprises the steps of: using a multi-resolution spatial data model to convert and decompose the input original medical image into multiple scales to obtain a series of detailed images in different resolutions, and a residual value image; enhancing the residual value image by a histogram equalization method to obtain a new residual value image; orderly suppressing noise and processing gains for each pixel in the detail image of each layer from the detailed image with minimal scale so as to respectively obtain new detail images; and reconstructing the new residual value image and the new detailed image of each layer through a reconstruction algorithm to obtain the processed new medical image. By the method and the system provided by the invention, damage on image structure information during noise suppression is avoided, noise suppression and structure enhancement are conducted selectively, and the granularity of the reconstructed image is kept when the noise is suppressed, so that the output medical image has a good visual effect.

Medical imaging systems are provided that facilitate transitioning between viewing native and reconstructed medical images in the same viewport. In one embodiment, a method comprises retrieving indexed image metadata describing native medical images associated with a medical imaging data set selected for viewing. The method further comprises grouping the native medical images into one or more setsof related images, and for each set of the one or more sets of related images, sorting the related images into one or more subsets of 3D compatible images that can respectively be used to generate one or more 3D representations. The method further comprises generating a data model identifying the one or more sets of related images and the one or more subsets of 3D compatible images, and employingthe data model to facilitate transitioning between rendering the native medical images and the one or more 3D representations in the same viewport.

The invention discloses a GIS-based satellite coverage area rapid simulation method, which specifically comprises the following steps of: calculating geocentric angles of a satellite to-ground coverage domain and a satellite to-air coverage domain, and obtaining the geocentric longitude and geocentric latitude of a sub-satellite point by a spherical trigonometric formula; solving spatial data models of boundaries of the satellite to-ground coverage domain and the satellite to-air coverage domain; sequentially carrying out classification correction and Mercator projection processing on the spatial data models of the boundary of the satellite to-ground coverage domain and the boundary of the satellite to-air coverage domain to obtain spatial data models of the coverage domain boundaries on aMercator graph; and processing the spatial data models of the coverage domain boundaries on the Mercator graph through a GIS mapping technology to obtain a coverage domain Mercator projection graph of the satellite to a celestial sphere and a constellation coverage image generated by superposing a plurality of satellite coverage domains. The spatial data models of the coverage domain boundaries are classified and corrected, so that the geometric objects of the coverage domain boundaries can be created directly based on the azimuth angle algorithm for region filling, and coverage judgment point by point in the region is not needed.

The invention discloses a one-dimensional DOA estimation method based on a specific frequency combination signal. The method includes: transmitting a plurality of signals with specific frequencies, separating corresponding frequency signals from received signals of each array element through a plurality of narrow-band filters with different frequencies to obtain a frequency domain receiving data model, then normalizing a source signal matrix and reconstructing a frequency domain received data matrix, subjecting a uniform physical array to primary expansion to form a virtual non-uniform array,finally performing secondary virtual expansion on the virtual non-uniform array in combination with an existing non-uniform array data covariance matrix processing method, thus finally obtaining a virtual uniform array subjected to secondary expansion, and realizing secondary expansion of the array aperture. Under the condition that a traditional uniform array structure does not need to be changed, virtual expansion of the array aperture is achieved by receiving a plurality of narrow-band signals with specific frequencies and depending on the prior information of frequency proportion, so thatthe estimation precision is improved.

The invention discloses a deception jamming suppression method based on a time diversity array MIMO radar, and the method comprises the following steps: building a TDA-MIMO radar model, and obtaininga transmitting-receiving-Doppler domain steering vector; establishing an echo data model of the TDA-MIMO radar; constructing a three-dimensional time-varying compensation vector; performing three-dimensional time-varying compensation on the echo data model to obtain a real target frequency spectrum; and processing the echo data after three-dimensional time-varying compensation by adopting a robustdirect data domain processing method to realize self-adaptive suppression of deception jamming. According to the method, the time diversity array is introduced, a tiny time delay delta t is introduced between every two transmitting array elements, and the controllability of array element delay between different pulses is utilized such that the degree of freedom of the system is improved, and theanti-deception jamming performance of the radar is improved.

The invention discloses a navigation airport low-altitude navigation chart based on an AR display technology and an implementation system thereof. When the aircraft is close to an airport or takes offfrom the airport, the navigation airport low-altitude navigation map is displayed in a visual screen with AR glasses worn on the head, and the navigation airport low-altitude navigation map display comprises a three-dimensional geographic space and a navigation map element three-dimensional data model associated with geographic data of the three-dimensional geographic space; the aerograph elementthree-dimensional data model comprises: an aerograph element three-dimensional data model, the system comprises a flight program data model, an airport data model, an obstacle data model, a conduction device data model and a special ground object data model. The flight program data model is a continuous navigation channel and track line displayed on a descending navigation channel or an ascendingnavigation channel of an airfield runway from the upper limit of a low-altitude three-dimensional geographic space of an aircraft, and a hollow-square-shaped closed transparent cavity is formed around the navigation channel and the track line. According to the invention, visual approach and departure three-dimensional chart elements and attribute information are provided for pilots as flight guidance.

The invention discloses a method for constructing a three-dimensional data model based on a real estate registration result. The method comprises the following steps: 1) converting a layered householdgraph in the real estate registration result into a shp format; 2) performing topology processing on the converted layered household graph data in the shp format; 3) creating a two-dimensional vectordata set formed by sequentially superposing a plurality of floor elements of the building from a base layer; 4) stretching the geometrical objects in the two-dimensional vector data set from the baselayer in sequence according to the layer number information, setting the stretching height according to the actual floor height of the building, and generating a building three-dimensional white moldwith a multi-layer structure; 5) performing style and texture mapping on the stretched three-dimensional white mold, and 6) associating the three-dimensional model of the building with business attribute data in a real estate registration result. According to the method, a three-dimensional data model meeting the real estate business management requirement can be constructed without additionallyconsuming a large amount of manpower and material resources to collect building field data.

The invention belongs to the technical field of near-field micro-seismic signal processing, and discloses a near-field micro-seismic signal waveform analysis method and device, equipment and a storage medium. The method comprises the following steps: acquiring a near-field micro-seismic signal of a monitored area, and obtaining a micro-seismic signal time domain waveform of the monitored area; performing waveform processing on the microseismic signal time domain waveform to generate a microseismic signal time domain standardized waveform; extracting a maximum value of the standardized waveform, and generating a target microseismic signal time domain waveform marking a peak point; determining a starting point and an ending point of a time domain waveform section according to the time domain waveform section of the time domain waveform of the target microseismic signal; and according to the time domain waveform section and the starting point and the ending point of the time domain waveform section, generating a linear segmentation fitting curve of the time domain waveform of the target micro-seismic signal, and finally analyzing the linear fitting curve through a preset data model to obtain a representation form and an analysis result of the time domain waveform of the micro-seismic signal, and therefore, the generality and the difference of various micro-seismic signals are obtained.

The invention provides a construction method of a polymorphic geographic entity data model. The method comprises the following steps of storing geographic entity data in a map-genus separation form, including a geographic entity index, a graph, an attribute and relationship; the geographic entity index is used for storing basic information of entity data, and the basic information comprises an entity unique identification code; the graph is a representation form of the entity data and comprises a vector form, an image form and a three-dimensional form; the attribute is surveying and mapping business information of the geographic entity data; the relationship is a spatial logic relationship among different geographic entity data; and the graph, the attribute and the relationship are associated with the geographic entity index through the entity unique identification code. The method has the advantages that geographic entity data is more efficient in retrieval and updating, retrieval canbe performed through any tense, flexible assembly capacity of the data is provided on the premise that the geographic entities are scientifically classified, and the geographic entities can be used as parts of an application scene more conveniently and efficiently.

The invention discloses a tunnel engineering surrounding rock grade rapid division method, which comprises the steps of exciting and transmitting electromagnetic waves and seismic waves to a geological area to be measured, and collecting the electromagnetic waves and the seismic waves fed back by the geological area; establishing a displacement Lame equation derivation and displacement function according to the feedback seismic waves, and solving longitudinal wave velocity mu p and transverse wave velocity mu s corresponding to the seismic waves with different frequencies; preprocessing the longitudinal wave velocity mu p and the transverse wave velocity mu s; performing data fusion on the preprocessed longitudinal wave velocity mu p and transverse wave velocity mu s, adding geological parameter constraints, and forming a standard model for surrounding rock category and property judgment; establishing an electromagnetic wave attenuation coefficient according to the feedback electromagnetic wave, and performing fusion by adopting a fuzzy neural network to obtain a fused data model; analyzing by adopting a fuzzy analytic hierarchy process, and carrying out probability statistics by utilizing a Bayesian function; and in combination with the standard model and the fused data model, a U-Net network is used for identification, and the tunnel engineering surrounding rock grade is obtained.

The invention provides a power distribution network fault rate calculation method and system under typhoon disasters. The method comprises: establishing a probability density function model representing typhoon intensity and a probability distribution function model representing typhoon duration respectively; establishing a power distribution network fault rate calculation model under typhoon disasters; and calculating the total probability of load power loss in the typhoon disaster duration based on the power distribution network fault rate calculation model. According to the method, the uncertainty of the typhoon intensity and the duration time is considered at the same time, the physical principle of different types of faults of the power distribution network caused by typhoon disastersis analyzed, and high accuracy is achieved. Power distribution network fault rate modeling is carried out by the method; the influence of typhoon intensity and duration on the fault rate of the powerdistribution network is comprehensively considered, the operation state of the power distribution network under typhoon disasters is comprehensively and accurately described through detailed modelingof multiple disaster-causing factors and disaster-causing mechanisms of the typhoon disasters, and the precision of a fault rate model of the power distribution network is greatly improved by utilizing the advantage of combined driving of a data model.

The invention discloses a standard nautical chart generation method and device. The problems that a traditional standard nautical chart generation scheme is poor in universality and data is prone to being lost can be solved. The method comprises the following steps: acquiring original nautical chart data of a target area; based on a preset intermediate data model, converting the original nautical chart data into target nautical chart element data in a specified format, the target nautical chart element data being used for describing geographic entities in the target area and attributes of the geographic entities, and the intermediate data model comprising data templates corresponding to different nautical chart data; based on a predetermined conversion knowledge base, determining a target object corresponding to the target nautical chart element data in the standard nautical chart and attribute field data of the target object, and the conversion knowledge base comprising the mapping relation between the nautical chart element data and the object and attribute field data in the standard chart; and generating a target standard nautical chart for describing the target area based on the target object and the attribute field data of the target object.

An image positioning system based on upsampling and a method thereof are provided. The image positioning method based on upsampling is to fetch a region image covering a target from a wide region image, determine a rough position of the target, execute an upsampling process on the region image based on neural network data model for obtaining a super-resolution region image, map the rough position onto the super-resolution region image, and analyze the super-resolution region image for determining a precise position of the target. The present disclosed example can significantly improve the efficiency of positioning and effectively reduce the required cost of hardware.

The invention discloses a mass raster data format conversion parallel method based on an abstract data model, which belongs to the field of a raster data Format conversion method. The method includes the following steps: utilizing the geospatial data abstraction library (GDAL) library function to explain a raster data file, dividing raster data based on lines to enable each block of data volume to be the total line number divided by the calculation process number, constructing a stack table of a to-be-processed raster data block and a processing condition statistical table of the data block, and obtaining a free calculation process queue; taking the to-be-processed raster data block out of a stack to be combined with a calculation process taken from the free calculation process queue to form operating instructions, and sending the operating instructions to the calculation process; enabling the calculation process to receive the instructions and take charge of achieving format conversion operation of the data block; and enabling a target data format block file sent by the calculation process to be written to a corresponding position of a framework file until the entire framework file is completely filled. The method combines the raster data format conversion technique and the parallel calculation technique, thereby greatly improving data conversion efficiency and shortening consumed time for format conversion.