44 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 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.

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.

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.

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.

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 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.

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 belongs to the technical field of operation path planning, and particularly discloses a watering vehicle operation path planning method, which comprises the following steps: importing initial watering plan information of a vehicle; positioning real-time traffic data of each planned watering road section in the current time period from a GIS geographic map; monitoring current environment information of each planned watering road section; performing path planning based on a preset path planning algorithm to obtain a recommended path; and carrying out adaptability verification on the recommended path, taking the recommended path as the recommended path of the vehicle when the verification is passed, and setting a target optimization function, carrying out recommended path adjustment and feeding back to the vehicle when the verification is not passed. According to the method, the defects existing in a current static path planning mode are effectively overcome, the dynamic change of traffic is fully considered, the difference between watering path planning and an actual scene is further reduced, and therefore path planning is more targeted.

The invention relates to the technical field of data processing, and discloses a forest grass informatization-oriented ecological space multi-source data integration method and system, and the method comprises the steps: endowing forest grass business data and Internet of Things sensing data with geographic coordinates and forest grass compartment codes based on a forest region geographic base map, and constructing a time-space fusion modeling data set in combination with a time label; extracting space coordinates of the unmanned aerial vehicle aerial image and the remote sensing image based on the space-time fusion modeling data set to obtain a first coordinate point set, and splicing the unmanned aerial vehicle aerial image and the remote sensing image to obtain a forest region static geographic map; based on the space-time fusion modeling data set, a control point is determined from the static geographic map of the forest region, a second coordinate point set is obtained from the real-time video of the unmanned aerial vehicle, and then the real-time video of the unmanned aerial vehicle and the static geographic map of the forest region are fused to obtain a dynamic geographic map layer of the forest region; and obtaining forest region multi-source data corresponding to the forest grass ecological space based on the forest region dynamic geographic map layer, the space-time fusion modeling data set, the forest grass business data and the internet-of-things perception data.

The embodiment of the invention discloses a charting method and device based on intelligent fusion of aviation elements and basic geographic elements. One specific embodiment of the method comprises the following steps: acquiring an aviation geographic data set from a preset aviation area and a preset earth surface area; carrying out mapping environment building on the aviation geographic data set to generate an environment building aviation geographic data set; cartographic data processing is carried out on the environment building aviation geographic data set to generate an aviation geographic cartographic; performing layout adjustment on the aviation geographic map to generate an adjusted aviation geographic map; and sending the adjusted aviation geographic drawing to drawing output equipment to obtain an aviation geographic drawing result. According to the implementation mode, accurate scale transformation can be realized while the integrity of the geographic elements is kept, manual intervention is reduced by improving the automation degree, and the manufacturing cost is remarkably reduced.

Systems, computer program products, and methods are described herein for dynamically generating data security models and visualizations of data security vulnerabilities using generative artificial intelligence. The present invention is configured to collect historical data associated with at least one data transmission; determine at least one geographic location identifier for the at least one data transmission; determine a user identifier for the at least one data transmission; generate, by a generative artificial intelligence (AI) engine, a record snapshot of the at least one data transmission and the at least one geographic location identifier, wherein the record snapshot comprises at least one context dataset generated by the generative AI engine; and generate, by the generative AI engine, a geographic map comprising at least one data point for the historical data and the at least one geographic location identifier.

An embodiment relates to a system for generating automatically and predicting network coverage maps of autonomous vehicle, including a map-mapping unit that collects network speed and quality data for a plurality of base stations from a control center by time of day, day of the week, and date and maps them onto a geographic map to generate coverage maps representing network condition, a route search unit that searches for a driving route to the destination by linking with the map-mapping unit,; a data collection unit that collects data on current states of the autonomous vehicle including at least location, date, day of the week, time, network speed, and quality data of the autonomous vehicle; and a prediction algorithm that predicts network condition of coverages mapped on the driving routes, but predicts the network condition according to expected arrival time and date of the autonomous vehicle.

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 detecting a number of lanes of a road on which the vehicle is traveling. In addition, the method includes setting, in response to the query, one or more search areas extending from the vehicle based on the determined number of lanes between the vehicle and the side of the road, wherein the side of the road is located forward in 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.SELECTED DRAWING: Figure 1

The application discloses the technical field of airport lawn intelligentization, and relates to a dynamic geographic map management system and method, a terminal and a storage medium, which aims at solving the problems that the existing technology is usually a static map, and it is difficult to support intelligent editing of a fenced area and other work, and it is difficult to support agile response and precise control under a complex work scene. The system comprises a perception layer, a transmission layer, a processing layer, a storage layer and an application layer. The perception layer is used for collecting geographic fence point cloud data. The transmission layer is used for transmitting the geographic fence point cloud data to the processing layer and the application layer. The application can realize intelligentization, self-adaptation and collaborative management of map data, support intelligent editing of a fenced area, realize intelligent management of the whole life cycle of an airport lawn map, and significantly improve the automation level, response speed and system robustness of mowing work.

A method and system provide areas with lifestyle preferences selected by a user. Generally, a computing device receives a selection of one or more lifestyle preferences from the user. In response to the selected lifestyle preferences, a visual display of one or more areas of a geographic map that includes one or more of the lifestyle preferences that favorably compare to the lifestyle preferences of the user is presented to the user via a user interface of the computing device. Additionally, the user may submit a review of the lifestyle preferences available in a particular location.

A computer implemented method of creating a simulated realistic virtual model of a geographical area for training an autonomous driving system, comprising obtaining geographic map data of a geographical area, obtaining visual imagery data of the geographical area, classifying static objects identified in the visual imagery data to corresponding labels to designate labeled objects, superimposing the labeled objects over the geographic map data, generating a virtual 3D realistic model emulating the geographical area by synthesizing a corresponding visual texture for each of the labeled objects and injecting synthetic 3D imaging feed of the realistic model to imaging sensor(s) input(s) of the autonomous driving system controlling movement of an emulated vehicle in the realistic model where the synthetic 3D imaging feed is generated to depict the realistic model from a point of view of emulated imaging sensor(s) mounted on the emulated vehicle.

A method and system provide areas with lifestyle preferences selected by a user. Generally, a computing device receives a selection of one or more lifestyle preferences from the user. In response to the selected lifestyle preferences, a visual display of one or more areas of a geographic map that includes one or more of the lifestyle preferences that favorably compare to the lifestyle preferences of the user is presented to the user via a user interface of the computing device. Additionally, the user may submit a review of the lifestyle preferences available in a particular location.

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.