64 results about "Geographic maps" patented technology

The invention relates to a gated multi-graph convolution perception modeling method for traffic flow prediction. The method integrates multi-graph structure construction, gating graph convolution and time feature extraction, and aims to solve the problems of strong time fluctuation and heterogeneous spatial relationship in traffic data. The method comprises the following steps of: firstly, respectively constructing a geographic map and a semantic map according to the maximum mutual information measurement between the spatial distribution information of a sensor and historical traffic data; and then, designing a dual-adaptive gating graph convolution module, and dynamically adjusting an information propagation path of a multi-graph structure by introducing an attention mechanism and a gating factor, thereby improving the modeling performance of the model on spatial isomerism dependence. On the time dimension, a time sequence interactive sensing module is constructed in combination with multi-scale causal convolution and an attention mechanism, time dependence characteristics of a short period and a long period are captured, and fusion and expression of time characteristics are completed. According to the method, the modeling precision and stability of the traffic prediction model in a complex traffic scene can be effectively enhanced, and the method has relatively high practical application value.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

Various arrangements for decreasing cellular network dead spots using microcells are detailed. A geographic map indicative of cellular network performance may be created. Using the geographic map, an area that has a cellular network dead spot can be identified. A subscriber database can be used to identify a subscriber address that is in a location to extend the cellular network within the dead spot. Based on analyzing the subscriber database to identify the subscriber address that is in the location to extend the cellular network, a microcell can be caused to be deployed at the subscriber address. Cellular services can then be provided using the microcell to various pieces of user equipment.

System, methods, and other embodiments described herein relate to predicting trajectories of multiple vehicles using graphs and multiple decoding models. In one embodiment, a method includes computing, using an encoding model, a graph having a geographic map and vehicle features associated with a plurality of vehicles in an area according to characteristics, prior trajectories, and spatiotemporal interactions. The method also includes processing, using the encoding model, updates for the geographic map and the vehicle features separately in association with encoded features of neighboring vehicles. The method also includes decoding, using a probability model and a regression model, the geographic map and the vehicle features to output estimated trajectories for the plurality of vehicles.

The invention relates to the technical field of intelligent monitoring, and particularly discloses a cyberspace geographic map monitoring system based on big data, which adopts an artificial intelligence technology based on deep learning to carry out semantic understanding on node description of a first node in a cyberspace geographic map, extracts semantic feature representation of the node description, and sends the semantic feature representation to the first node; meanwhile, time sequence analysis is conducted on the multi-source heterogeneous data of the first node, state information of the power grid nodes is mined from the multi-source heterogeneous data, and therefore node description is updated in combination with initial node description and the state information of the power grid nodes. Therefore, the real-time monitoring of the node state in the network space geographic map and the real-time updating of the map can be realized, the latest state of the node in the network space can be reflected in time, and the updating efficiency and accuracy of the network space geographic map are improved.

The nine-grid coordinate system is a novel geographic coordinate digital coding positioning system, and a recursive nested structure of multi-layer grid and digit combination is suitable for geographic map address coding. And the positioning precision is improved in an exponential level along with the increase of levels. Digital codes generated through nine-grid coordinate system positioning have various meanings, such as distance, orientation, positioning, area, color and the like, and a user can give extra meanings to the codes in a self-defined mode according to the requirements of the user. Meanwhile, the generated digital coding positioning function can be compatible with latitude and longitude coordinates of GPS, Beidou and other positioning systems, and mutual conversion can be realized.

To support obtaining knowledge about a photograph and one or more objects of interest included in the photograph.SOLUTION: A method includes detecting a pointing motion made by an occupant of a vehicle and taking a photograph with a camera associated with the vehicle. The method also includes processing one or more of a photograph, the time the photograph is taken, position information of the vehicle at the time the photograph is taken, a photographing direction extending from the camera at the time the photograph is taken, or map data, for obtaining candidates for an object of interest in the photograph and explanatory information related to the candidates for the object of interest. The method further includes causing a display to output a graphical user interface. The graphical user interface includes a geographical map, a position icon indicating the position on the geographical map at which the photograph is taken, a graphical object representing the photographing direction, and explanatory information related to the candidates for the object of interest.SELECTED DRAWING: Figure 1

The invention discloses a multi-unmanned aerial vehicle cooperative three-dimensional trajectory planning method based on a hybrid meta-heuristic algorithm, and the method comprises the steps: constructing an unmanned aerial vehicle cooperative trajectory planning model containing cooperative defense constraints, and constructing a three-dimensional geographic map containing a research region in the unmanned aerial vehicle cooperative trajectory planning model; an unmanned aerial vehicle cooperative system comprising N unmanned aerial vehicles is constructed, and an unmanned aerial vehicle cooperative trajectory planning model enables all the unmanned aerial vehicles of the unmanned aerial vehicle cooperative system to cooperatively search and simulate flight in a research area according to unmanned aerial vehicle flight tasks in a three-dimensional geographic map. And the unmanned aerial vehicle cooperative trajectory planning model constructs a population by taking the unmanned aerial vehicle flight trajectory as an individual, executes iterative optimization processing of a fusion cooperative defense strategy and ant lion optimization random walk based on a PHOENIX algorithm, and finally outputs an optimal unmanned aerial vehicle cooperative flight three-dimensional trajectory. According to the invention, efficient, safe and cooperative trajectory planning processing of multiple unmanned aerial vehicles in a complex three-dimensional environment is realized, and important technical support is provided for research and application of an intelligent autonomous system.

The invention relates to the technical field of meteorological services, and particularly discloses a meteorological forecasting method and system fused with high-precision geographic information, geographic data is obtained through a satellite, the influence of a macroscopic geographic environment on climate can be reflected, real-time monitoring data of an automatic meteorological station can provide accurate observation of microscopic point locations, and the accuracy of meteorological forecasting is improved. A macroscopic-microcosmic linkage complete data chain is formed, analysis deviation caused by a data surface is avoided, a positioning system of the automatic weather station ensures accurate binding of detection data and geographic coordinates, and by combining with a preset geographic layout boundary, the position fuzziness of the data can be avoided, so that each piece of climate data can anchor a specific geographic scene, and the accuracy of data analysis is improved. A precise space reference is provided for subsequent analysis, and the characteristics of precise data, clear monitoring, sensitive and reliable prediction and wide application range are cooperatively realized through multi-modal technology fusion.

The invention discloses a historical state architecture construction method and system for a digital power distribution network operating system, and belongs to the technical field of smart power grids. The method specifically comprises the following steps: collecting equipment change operation data of a service site through a homologous maintenance application, preprocessing the data, and storing the data in a unified model to obtain a total historical net rack data set; a third-party data driving algorithm requests historical net rack data set operation at a specified historical moment in the unified model, an operation result is merged with a total historical net rack data set and then merged with a geographic element data set, a historical net rack geographic map is obtained, the historical net rack geographic map is cut into historical state vector tiles, and the historical state vector tiles are transmitted to business applications of all network provinces for digital display. And the historical state architecture construction of the digital power distribution network operation system is realized. According to different change operation types, data maintenance of different processing is carried out on the existing net rack data, and it is guaranteed that equipment changes newly occurring in a service site can be synchronized to the running state net rack data and the historical state net rack data in the system in real time.

This application discloses a target recognition, localization, and presentation method. The method includes: acquiring an aerial image; rotating the aerial image according to the heading angle information of the aerial photography device so that its direction is the same as the direction of the geographic map; establishing a target detection model; inputting the rotated aerial image into the target detection model to obtain an aerial image with the target object identified; establishing a first coordinate system in the identified aerial image and obtaining the pixel position of the target object according to camera parameters; establishing a second coordinate system between the aerial photography device and the identified aerial image, and obtaining the geographic coordinates of the target object according to the heading angle information of the aerial photography device, its relative ground height, and geographic coordinates; and visually annotating and presenting the located target on a pre-generated 3D digital terrain of the aerial photography area based on the geographic coordinates of the target object. This invention realizes the conversion from target detection pixel coordinates to physical world latitude and longitude coordinates, improving the accuracy of target localization.

A system and method for location-based social networking, including a client device module configured to: send, to a social mapping system, a request for social media posts, wherein the request includes screen attribute information, geographic location information, and an identification of a requesting account; receive, in response to the request, a suggested group including a set of social media posts each ranked according to a customized score calculated by applying a set of preference factors of the requesting account to a general score of the social media post; and display, within a geographic map region corresponding to the geographic location information, a symbol representing at least a subset of the set of social media posts, wherein a size of the symbol is representative of customized scores of the subset of the set of social media posts.

The invention provides a network attack geographic map construction method and device fusing a knowledge map technology and a GIS technology, and is applied to the field of data processing. The method comprises the following steps: acquiring multi-source original data, and generating a structured knowledge triple by using a BiLSTM-CRF model and a DBSCAN algorithm; carrying out entity processing, multi-source interconnection and space fusion, and storing, generating and dynamically updating a network attack geographic map by using Neo4j; then constructing a target knowledge question-answering system based on a front-end and back-end separation architecture; then generating attack interpretation content in combination with the multi-dimensional information; and finally, processing multiple types of data, and completing comprehensive evaluation of geographic map construction and application effects.

The invention discloses a multi-source navigation announcement data model analysis processing display and PIB extraction method, which comprises the following steps: constructing a data identification model containing a navigation announcement standard database, and constructing the navigation announcement standard database according to announcement message types, application ranges and effectiveness levels; obtaining a multi-source navigation announcement data stream, performing structured disassembly on the navigation announcement data stream, and storing the navigation announcement data stream in a navigation announcement standard database according to a hierarchical structure and a standard data format; obtaining all associated data covering the research object from the navigation announcement standard database based on the research object, and forming a navigation announcement data report file of the research object; and extracting point, line and surface data of all associated data of the research object, and visually displaying the point, line and surface data on a GIS geographic map. According to the method, efficient management and query of the navigation announcement data are realized, the navigation announcement data report file of the research object is formed, and information technology support in the aspect of navigation announcement is provided for making a flight plan or flying.

To effectively identify an object of interest to an occupant of a vehicle.SOLUTION: The method includes processing a query to identify an object external to the vehicle, the query being made by an occupant of the vehicle. The method also includes determining a focus direction of the occupant when the query is received. The method further includes, in response to the query, setting one or more search areas extending from the vehicle based on the focus direction of the occupant. In addition, the method includes adjusting the one or more search areas based on the focus direction of the occupant. The method also includes setting one or more geo-fences corresponding to the one or more search areas for the vehicle on a geographic map in response to the query. The method further includes searching map data associated with the geographic map to identify candidate objects of interest within the one or more geo-fences.SELECTED DRAWING: Figure 1

This invention provides a method, apparatus, electronic device, and storage medium for marking target objects during low-altitude aerial surveillance. The method includes: acquiring the map target coordinates of the target object on a geographic map; acquiring range parameters; calculating the target area range on the geographic map based on the map target coordinates and range parameters; acquiring the position and attitude information of a drone; mapping the map target coordinates and target area range based on the drone's position and attitude information to obtain screen target coordinates and screen coordinate range; and capturing and displaying video images based on the screen target coordinates and screen coordinate range. By utilizing the acquired range parameters to determine the screen coordinate range and capturing images based on that range, the target object can be presented in the video image. This allows the drone livestream video images to be marked and displayed according to user needs, effectively improving the livestream value of the drone.

Disclosed herein are devices, systems, and methods for officiating, spectating, and scorekeeping for flag football games using one or more wirelessly interconnected electronic devices. In some embodiments, a plurality of graphical user interfaces are provided on a mobile electronic device, the interfaces allowing game officials to create games that are visible to spectators, players, coaches, and statisticians / scorekeepers on a shared geographic map. After spectators, players, coaches, and / or statisticians / scorekeepers join a game, an official inputs information regarding timing and scorekeeping of the game to an interface of a mobile device carried by the official, and the inputted information is broadcasted from the official's device to mobile devices of spectators, players, and coaches, where it is displayed in real-time on graphical user interfaces of the receiving devices. The interfaces may facilitate real-time synchronization of a play-clock and / or go-clock amongst officials, spectators, players, coaches, and / or statisticians / scorekeepers.

This invention provides a computer implementation method for generating routes in waterways for the automatic control of marine vessels. [Solution] A computer implementation method for generating a route P in a channel 40 for the automatic control of an ocean vessel 10, comprising: acquiring position data of the ocean vessel; determining, based on the position data, that the ocean vessel is approaching or in the channel; identifying the starboard portion of the channel relative to the position of the ocean vessel from geographic map data; determining a collision-free route in the starboard portion 52 of the channel while moving through the channel; and providing an output of the determined collision-free route for the automatic control of the ocean vessel along the determined collision-free route.

This disclosure describes systems and methods for multi-modal search-based object detection and electric grid object search. Annotations and bounding boxes for images in an image database are determined. A first subset of images is determined from the images that share annotations. A textual token representing the first subset of images is generated and stored in a search index. A second subset of images that share visual features is determined from image pixels enclosed by the bounding boxes. An image token is generated based on the second subset of images and the shared visual features. A user interface configured to receive a search query input is provided for display on a user device. Search tokens are generated based on the search query input. A candidate image is identified and provided for display within the user interface at a position within a respective region of a geographic map of an electric grid.

This disclosure describes systems and methods for multi-modal search-based object detection and electric grid object search. Annotations and bounding boxes for images in an image database are determined. A first subset of images is determined from the images that share annotations. A textual token representing the first subset of images is generated and stored in a search index. A second subset of images that share visual features is determined from image pixels enclosed by the bounding boxes. An image token is generated based on the second subset of images and the shared visual features. A user interface configured to receive a search query input is provided for display on a user device. Search tokens are generated based on the search query input. A candidate image is identified and provided for display within the user interface at a position within a respective region of a geographic map of an electric grid.

The application discloses a kind of space non-stationary soil humidity calculation method and device.Method includes: based on geographic map attention network, construct site spatial heterogeneity weight prediction model;Prediction model with the spatial-attribute information of site and the spatial adjacency matrix between each site as input, with the spatial heterogeneity weight matrix of each site as output;Weighted regression formula is constructed, and regression formula is used to calculate the soil humidity of site based on the spatial heterogeneity weight matrix output by prediction model;Based on the dataset and regression formula constructed in advance, the prediction model is trained to obtain the trained prediction model;Dataset includes the real soil humidity and spatial-attribute information of site;The spatial-attribute information of target site is input into the trained prediction model, and the spatial heterogeneity weight matrix of target site is obtained;The spatial heterogeneity weight matrix of target site is brought into regression formula, and the soil humidity of target site is obtained.The application can improve the calculation precision of soil humidity, and has strong versatility.

This application provides a map generation method and system based on multi-source heterogeneous geographic information processing. It acquires three types of heterogeneous data: a geographic element attribute database, a geographic coordinate semantic database, and a geographic reference image database. Spatial spectrum reconstruction processing is then performed to generate a spatial spectrum cube. Belief propagation fusion processing is then used to construct a belief network from the spatial spectrum data. Combined with spatially constrained probability field optimization and D-S evidence synthesis, a geographic evidence chain is generated. Next, spatiotemporal field reconstruction processing is performed to separate the static and dynamic states of the geographic evidence chain and couple them into fields, constructing a hyperdimensional spatiotemporal map. Finally, holographic projection conversion processing is used to perform phase field compression and coherent diffraction reconstruction on the hyperdimensional spatiotemporal map, generating a holographic geographic projection map that supports 3D interaction. This method achieves the automatic generation of a structurally unified, highly reliable geographic map that supports dynamic behavioral reasoning and true 3D interaction from multi-source heterogeneous geographic data, significantly improving the decision-making value and cognitive efficiency of geographic information.

A method for visualization of geospatial positioning and management of electrical infrastructure assets involves assigning a data set with visual data, spatiotemporal data, geo-positional data, and point cloud data to a data pool. The method maps the data set to a geographic information system as at least one virtual asset. The method visualizes the at least one virtual asset with a placemark on virtual geographic map. The method applies severity annotations to the at least one virtual asset. The method groups the at least one virtual asset with at least one other virtual asset based on proximity of the placemark on the virtual geographic map. The method generates an assets report comprising the severity annotations for the at least one infrastructure asset. The method generates an encroachment report comprising encroachment severity from the point cloud data of the at least one infrastructure assets.

The invention discloses a comprehensive patrol unmanned aerial vehicle control method and system based on multi-source data analysis, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: obtaining a patrol region geographic map through a GIS, extracting elevation and ground coverage data, and constructing a three-dimensional ground model; power grid inspection point coordinates are determined and configured in a geographic map, and inspection contribution parameters are calculated in combination with a historical abnormal rate and a preset weight; collecting real-time wind power data, and predicting a wind power characteristic sequence; generating a plurality of initial inspection paths, and calculating energy consumption parameters based on wind power prediction and path length; and comprehensively evaluating the inspection contribution sum and the energy consumption sum of each path in the preset period, and selecting an optimal path. Through multi-source data fusion and dynamic path optimization, the method adapts to a complex environment, improves the power grid inspection efficiency, reduces the energy consumption, and shows relatively high innovativeness and practical value.

The invention discloses a space-time mapping knowledge domain construction method based on a large language model and Beidou grid coding. The method comprises the steps that semantic partitioning is conducted on an input text through the large language model LLM, fact declarative sentence extraction is conducted on each block, and triple extraction, time entity extraction and space geographic entity extraction are conducted on the fact declarative sentences respectively; performing time attribute coding on the time entity; constructing a gridded Beidou satellite geographic map and obtaining a Beidou grid coding data set, and performing associated grid matching coding on spatial geographic entities to form corresponding spatial attributes; and collecting the time entity containing the time attribute, the space geographic entity containing the space attribute and the triple to construct the space-time knowledge graph. According to the method, attribute coding is carried out on the time entities and the space geographic entities, the coded time entities, the coded space geographic entities and the triple are collected and constructed to obtain the space-time knowledge graph, space-time information in the entities can be deeply mined, and the space-time reasoning capability is improved.

The present application provides a kind of judging method and system of spontaneous combustion dangerous area of goaf in coal mining face, it is related to coal mine safety monitoring technical field, the present application generates initial geographic map by using geographic information system software, and creates regular three-dimensional grid on this basis, effectively realizes the accurate positioning and data consistency management of goaf in coal mining face, by setting specific wavelength range, using infrared spectrum to capture the spectral data of each sampling point, by calculating the relative radiation intensity and radiation deviation degree of each sampling point, the abnormal sampling point can be accurately identified, by obtaining the neighbor sampling point data of abnormal sampling point, calculating the uniform distribution index, the risk level mark of abnormal sampling point is realized, the distribution density, relative radiation intensity and geographic location information of abnormal sampling point are comprehensively considered, spontaneous combustion risk index is generated, and comprehensive evaluation and timely early warning of goaf spontaneous combustion risk are realized.

A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained to produce an output of a deterministic hazard mapping algorithm. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.

The invention belongs to the technical field of city management, and particularly relates to a geographic map establishing method, which comprises the following steps of: 1, determining targets and demands: determining the targets: firstly, determining the purposes and purposes of map making, such as teaching display, city planning, tourism guide, scientific research and the like, and analyzing the demands, the geographic map establishing method analyzes geographic elements (such as terrains, water systems, traffic, places of residence and the like) contained in the map and the detailed degree of the elements, and has the beneficial effects that the system emphasizes the independence and interdependence of each step, and requires careful consideration and strict execution in each stage, so that the efficiency of establishing the geographic map is greatly improved. And meanwhile, the system pays attention to the accuracy of the data and the practicability of the map so as to meet the requirements of different users, and through the system, the production of the geographic map becomes more standard, efficient and reliable.

An example operation may include one or more of receiving a geographic map that comprises tasks assigned to a plurality of vehicles, and routes for the plurality of vehicles to follow to perform the tasks, clustering the routes into a plurality of subsets of routes based on travel times from geographic locations of the routes in the geographic map, wherein each subset of routes corresponds to a different geographic location, executing a large neighborhood search (LNS) on the plurality of subsets of routes to generate a plurality of modified subsets of routes for the plurality of vehicles to follow to perform the tasks, updating the geographic map based on the plurality of modified subsets of routes, and dispatching the tasks to the plurality of vehicles via a communication channel based on the updated geographic map.

The invention relates to the technical field of spatial geography measurement data acquisition, in particular to a spatial geography measurement data acquisition method and system based on wireless remote sensing, and the method comprises the steps: matching the spatial geography feature data of a target region with spatial geography measurement scheme data, and generating the spatial geography measurement scheme data of the target region; acquiring image data of a target area in real time according to the spatial geographic measurement scheme data of the target area, preprocessing the image data, generating spatial geographic measurement image feature data of the target area, and accurately matching the coordinate position of the spatial geographic measurement image feature data of the target area in the spatial geographic map data; and generating spatial geographic image mapping position data of the target area, updating the spatial geographic map data to obtain updated spatial geographic map data, repeating the operation until spatial geographic measurement data acquisition operation is completed, generating spatial geographic measurement data, and pushing the spatial geographic measurement data to a spatial geographic measurement data acquisition platform. And accurate acquisition of spatial geographic measurement data is realized.