51 results about "Geographic feature" patented technology

The invention discloses a coastal disaster forecasting method and system. The method comprises the following steps: acquiring data of a target near-shore area, and carrying out data preprocessing and unstructured grid division; generating an open sea drive-near-shore response sample library by using the coupling numerical model; extracting the dominant lag step number of each open-sea factor for each node near the shore through mutual information analysis, performing time rearrangement on key factors, splicing with static geographic features, and constructing a structured input tensor; training a graph attention space-time fusion model taking the unstructured grid as a graph structure; in real-time forecasting, an implicit state assimilation mechanism based on observation errors is introduced, and the model state is dynamically corrected to achieve self-adaptive rolling forecasting. According to the invention, high-precision and high-efficiency near-shore disaster real-time early warning is realized.

The present specification relates to the technical field of satellite, and particularly relates to a satellite traffic flow prediction method and device. The method comprises: acquiring geographical feature data of a wave position; acquiring coverage time data of the satellite for the wave position in a historical period; constructing first feature data of the satellite according to the geographical feature data and the coverage time data; the first feature data is used for representing geographical features cumulatively covered by the satellite in the historical period; acquiring second feature data, the second feature data is used for representing traffic flow of the satellite in the historical period; and predicting future traffic flow of the satellite according to the first feature data and the second feature data. The embodiment of the present specification can improve prediction accuracy.

An information processing apparatus calculates a difficulty level of a predetermined route and includes one or more processors and one or more memories communicably coupled to the one or more processors. The one or more processors are configured to: determine an attribute of the predetermined route; acquire information about a plurality of routes each having an attribute similar to the determined attribute; calculate a first probability distribution, indicating an occurrence tendency of a value indicated by at least one first indicator related to a geographical feature in all of the routes, based on the acquired information about the routes; and calculate the difficulty level of the predetermined route based on a position, in the first probability distribution, of the value indicated by the at least one first indicator at a predetermined point or in a predetermined section included in the predetermined route.

The invention discloses a new energy unit icing shutdown prediction method and system based on a multi-feature interaction threshold. The method comprises the steps of collecting and preprocessing multi-dimensional data of a new energy unit; based on meteorological and geographic features, generating a corresponding clustering label for each new energy unit by using a clustering algorithm; constructing a full-connection deep neural network shutdown prediction model, taking the preprocessed data and the clustering labels as input features, and training the icing shutdown probability of a model output unit; for a single feature, a feature fixing strategy is adopted, and a single feature threshold interval is determined; key features are selected for double-feature interaction analysis, a three-dimensional decision boundary is constructed, an interaction effect is quantified, and a multi-feature interaction rule is extracted based on a decision tree algorithm; and constructing a comprehensive discrimination rule, setting risk preference parameters, carrying out adaptive threshold updating, and finally outputting a shutdown prediction result. The method can significantly improve the shutdown prediction precision, and is suitable for different types of new energy equipment such as wind power and photovoltaic equipment.

Embodiments of the present specification provide a method and device for discovering changes in geographic features and a storage medium. The method comprises: obtaining new acquisition data of a target geographic area, the new acquisition data comprising new trajectory data and new image data; associating the new trajectory data with the new image data to obtain new trajectory-image association data; obtaining historical trajectory-image association data of the target geographic area; and determining whether there is a changed geographic feature in the target geographic area based on the new trajectory-image association data and the historical trajectory-image association data.

The application discloses a substation site selection geographic information identification method, system, device and medium, comprising: performing geographic feature extraction on first geographic data of a substation planning area to obtain geographic information features, and performing site selection constraint quantization based on the geographic information features to obtain substation site selection constraints; inputting second geographic data of the substation planning area into a semantic segmentation model to obtain a target suitable construction area in the substation planning area output by the semantic segmentation model; performing area screening on each position space area in the target suitable construction area based on the substation site selection constraints to obtain a target position space area; and performing site selection point screening on each site selection point in the target position space area based on a power shortage area to obtain a final substation site selection point. The application guarantees the rationality of substation site selection and improves the reliability of substation site selection.

The application discloses a kind of coal mine fully mechanized working face geographic feature acquisition system and method, belong to coal mine information acquisition technical field, feature acquisition system includes the detection device being arranged in working face along line area and the UWB positioning base station being fixed in working face along line area, detection device includes: image acquisition equipment, for collecting the image information of working face along line area;Symmetrically arranged horizontal rotary laser ranging equipment and vertical rotary laser ranging equipment on the two sides of image acquisition equipment.The application adopts the double positioning method based on UWB positioning and gyroscope motion positioning and laser ranging technology, and the geographic features and cutting coal wall features of image are described by detection device, which increases geographic information and three-dimensional distance information on the basis of plane visualization for coal mine safety production, and provides the required monitoring and detection conditions for improving safety production for coal mine working face site unattended production.

The application belongs to the technical field of deep learning and remote sensing image processing, and specifically discloses a city land use mapping method based on multi-modal data collaborative perception, which comprises the following steps: performing parcel division on high-resolution remote sensing images of a research area to obtain irregular city parcels and remote sensing spectral features thereof; setting street sampling points along a road network, extracting street perception features and extracting interest point semantic features; constructing a heterogeneous graph structure based on the street sampling points, the street perception features and the interest point semantic features falling into the same parcel, and then extracting parcel-level multi-source geographic features; inputting the remote sensing spectral features and the parcel-level multi-source geographic features into a full sparse topic model for semantic alignment and fusion to generate fused parcel feature representations; and performing classification based on the fused parcel feature representations to output city land use mapping results. The application can realize high-precision and high-robustness city land use recognition under the condition that multi-source data is unevenly distributed or sparse.

The application provides a place recommendation system, comprising an encoding module, a sequence period feature extraction module, a geographical feature extraction module and a query mapping module. The encoding module is used for encoding original data to form a user sequence. The sequence period feature extraction module comprises a time interval feature extraction module for extracting interval rules in the user sequence, a time span feature extraction module for extracting time span rules in the user sequence, and an aggregation module for aggregating the interval rules and the time span rules. The geographical feature extraction module is used for learning place features at different geographical scales. The query mapping module is used for place recommendation according to the sequence period features and the place features. The system captures the period features of multiple time intervals and multiple time spans in the user sequence, extends to a physical geographical map, adds geographical feature information to the place recommendation, and effectively improves the reliability of the recommendation result.

The invention provides a space-time intelligent analysis system and method for watershed pollution based on deep learning, and the system monitors the total amount of pollutants in each region in real time through a fixed water quality monitoring station, employs the total amount as a constraint observation value of space distribution, and obtains multispectral dynamic feature data and static geographic feature data through the remote sensing of an unmanned plane. The method comprises the following steps: aligning and fusing multi-source spatial data in a unified space-time coordinate system, constructing a multi-dimensional spatial feature matrix of a high-resolution grid, establishing a model by using a convolutional neural network, spatially distributing the total amount of pollutants, predicting the pollution contribution amount of each grid, and generating a pollution source distribution thermodynamic diagram. According to the method, a high-precision and high-resolution pollution source space-time distribution analysis result can be provided for drainage basin pollution treatment, reliable support is provided for precise and scientific environment management decisions, and development of intelligent environmental protection and drainage basin ecological protection is powerfully promoted.

This invention discloses an automated fusion method and system for suspended sediment concentration from multi-source ocean color satellites, belonging to the field of marine remote sensing and geographic information processing technology. The method includes: S1, automatically identifying and reading the original satellite data file; S2, processing the quality labeling data to generate a comprehensive quality mask in one go, and marking invalid values ​​for the concentration data; S3, resampling all valid pixels onto a predefined regular geographic grid, calculating the cumulative concentration and pixel count of each grid cell to obtain the grid mean; S4, stacking multiple grid data from the same region and time window along the time axis, and performing spatiotemporal fusion using the median robust averaging method or the minimum value synthesis method; S5, automatically generating a standard raster file and a thematic map containing geographic features and embellishment information based on the fused data. This invention solves the problems of fragmented processing, low efficiency, and insufficient accuracy in existing technologies.

The invention relates to the technical field of logistics planning, and discloses a distribution path planning method and device for a cross-border region, computer equipment and a storage medium, and the method comprises the steps: obtaining cultural taboo data, real-time geographic feature data and real-time meteorological data of a target region; constructing a cultural taboo space-time grid based on the cultural taboo data; road health indexes are calculated according to the real-time geographic features and the meteorological data, and a geographic road health index map is generated; and after a delivery order is received, outputting a delivery strategy according to the order attribute data, the cultural taboo space-time grid and the road health index map based on a pre-trained large language model, generating a hierarchical path scheme corresponding to the delivery strategy according to a preset path planning algorithm, and finally pushing the hierarchical path scheme to a deliveryman terminal. According to the method, a dual constraint mechanism of cultural taboo and road conditions is established, so that the problems of distribution conflicts and low distribution efficiency caused by neglecting regional cultural customs and dynamic road conditions in traditional path planning are effectively solved.

The application provides a high-cold steep slope ecological restoration scheme recommendation method and system based on machine learning, historical restoration case data sets and regional geographic feature data of a high-cold steep slope region are collected, the historical restoration case data sets and the regional geographic feature data are associated and fused to generate a regional ecological restoration feature map with spatio-temporal correlation, a pre-trained restoration scheme optimization model is called to perform multi-dimensional adaptability analysis and processing on the regional ecological restoration feature map to obtain an ecological restoration scheme adaptability score matrix of the high-cold steep slope region, and based on the ecological restoration scheme adaptability score matrix and the regional ecological restoration feature map, an ecological restoration scheme spatial recommendation distribution map of the high-cold steep slope region is generated. The application improves the accuracy and practicability of the ecological restoration scheme recommendation.

The invention discloses a power supply battery state-of-charge measurement method and device for meteorological equipment, and relates to the field of battery management. The method comprises the following steps: acquiring real-time operation parameters of a power supply battery of the meteorological equipment and environmental parameters of an environment where the meteorological equipment is located; based on the real-time operation parameters, calculating to obtain an initial battery state-of-charge value; acquiring historical operation parameters and historical environment parameters of the meteorological equipment, and constructing a geographic feature vector based on the historical operation parameters and the historical environment parameters; according to the geographic feature vector, determining a trigger condition, and judging whether the environmental parameters meet the trigger condition; if it is determined that the environmental parameters meet the triggering conditions, dynamic calibration is executed based on the geographic feature vector and the initial battery charge state value to calculate a charge state correction value; and synthesizing the state-of-charge correction value and the initial battery state-of-charge value to obtain a final battery state-of-charge value. By implementing the technical scheme provided by the invention, the measurement accuracy of the state of charge of the power supply battery is improved.

This invention belongs to the field of UAV navigation and augmented reality technology, and relates to a passive geographic information overlay system and method based on cross-modal features. The system includes: an airborne visual acquisition module installed on the UAV platform for real-time acquisition of video frames and flight attitude data; an edge computing processing module for receiving video frames and performing geographic information calculations, calculating confidence levels, and outputting geographic feature information that meets a set confidence threshold as a preferred dataset; and an augmented reality display module for overlaying the geographic feature information from the preferred dataset onto the video image in an augmented reality manner. Its advantages include the ability to perform positioning matching and augmented display without relying on satellite signals in GNSS-denied environments, strong anti-interference capabilities, high positioning accuracy, and low overlay latency. It can overlay and present geographic features in UAV videos, facilitating users to quickly identify and understand the corresponding geographical location and environmental elements in the image.

This invention discloses a method, apparatus, device, and medium for dynamic updating of 3D geographic scenes based on spatiotemporal interpolation. The method includes acquiring multi-source heterogeneous data, including satellite imagery, UAV remote sensing imagery, and ground sensor data; calculating the weight of each data source based on its spatial and temporal resolution; performing spatial and temporal interpolation calculations on spatial points of the 3D scene, combining the weights of the multi-source data; performing nonlinear compensation on the spatial and temporal interpolations to obtain the updated spatial point values ​​of the compensated 3D scene; comparing the interpolation results at different time points, detecting local changes, and updating the changed areas of the 3D scene. This invention ensures fusion quality through reasonable weighting by comprehensively configuring weights based on spatial resolution, temporal resolution, data quality, and similarity to reference data, making the fusion of basic 3D scene data more closely resemble real geographic features.

This application provides a method, apparatus, electronic device, and medium for aerosol optical thickness data completion, belonging to the field of remote sensing data processing and atmospheric environment monitoring. The method includes: acquiring multi-source data; encoding the multi-source data using a 3D encoding / decoding network to obtain an initial feature map; using auxiliary data as guiding weights for underlying surface geographic features, and combining this with a spatial attention module and the initial feature map to obtain a spatial feature map; obtaining a temporal feature map based on a temporal attention module based on the initial feature map; concatenating the spatial and temporal feature maps, and then adding them element-wise to the initial feature map to obtain a comprehensive feature map; decoding the comprehensive feature map to obtain an initial completion result; converting the initial completion result into corresponding completion values; determining missing regions based on each completion value; and completing the missing regions to obtain the completed aerosol optical thickness data. This application can improve the accuracy of aerosol optical thickness data completion.

The invention discloses a network optimization method and device, equipment, a storage medium and a computer program product, and belongs to the technical field of wireless communication. The method comprises the following steps: acquiring network information characteristics of a target cell, wherein the network information characteristics comprise network state parameters, diversity information entropy and neighbor cell similarity characteristics; wherein the diversity information entropy is obtained by performing entropy calculation on multi-source geographic feature data of a target cell, and the neighbor cell similarity feature is determined according to the diversity information entropy of a neighbor cell associated grid in grids covered by the target cell; generating a network optimization strategy by inputting the network information feature and the network optimization index of the target cell into a pre-trained target strategy network; and determining network parameters of the target cell according to the network optimization strategy. Through the mode, the spatial information attribute of the target cell can be described in different levels, and more stable and efficient network optimization is realized.

The application discloses a regional analysis method based on a space grid index, and relates to the field of geographic information system big data space analysis.The application comprises the following steps: creating a geographic feature point thematic data table, creating a grid index field for the geographic feature point thematic database table, creating a thematic data table, establishing a mapping relationship between each geographic feature surface record and the grid index table, calculating an index value when the query precision is n according to the created grid index value k, establishing a space relationship between each geographic feature point and the geographic feature surface, and screening out a statistical analysis result meeting the condition.The application has the advantages that the grid index field is established, the index creation cost is reduced, the maintenance cost is decreased, multi-size space indexes are supported, the precision requirements of different businesses are met, the retrieval performance is further improved when the precision requirement is not high, the operation efficiency is greatly improved by adopting hexadecimal character matching, and good scalability is maintained in the regional analysis direction.

The invention provides an electronic map processing method, a communication device, electronic equipment and a computer program product, belongs to the technical field of electronic maps, and aims to solve the problems of long time consumption, high cost and the like caused by untimely map updating, inaccurate data and dependence on special equipment in the prior art. The method comprises the following steps: acquiring positioning data of a terminal in a communication network; and determining behavior mode characteristics of the terminal based on the positioning data, obtaining target geographic element information through the behavior mode characteristics, and updating the electronic map according to the target geographic element information.

The embodiment of the invention provides an unmanned aerial vehicle video geographic information superposition method and device based on deep learning, and relates to the technical field of unmanned aerial vehicle visual enhancement and geographic information fusion. According to the method, after unmanned aerial vehicle detection data are obtained, a current view field model is constructed according to positioning data and flight state data, and vector map data are retrieved from a map database based on the view field model. And performing cross-modal fusion on the visual semantic features of the video frame image and the map structure features of the vector map data by using a space detection model based on deep learning, and establishing space corresponding information between visual contents and geographic elements based on implicit reasoning. And then, according to the spatial corresponding information, superposing the geographic information to the video frame image to generate a superposed frame image. According to the method, pixel-level accurate alignment of the geographic information in the video frame image can be realized by utilizing visual semantics and the cross-modal fusion capability of map priori, and the result deviation of video geographic information superposition is reduced.

The application discloses a song style analysis method and system fusing heterogeneous information, a terminal and a storage medium. The method comprises the following steps: obtaining the score data of a target song, performing feature extraction, obtaining a plurality of score features, and constructing a score knowledge graph according to the plurality of score features; obtaining a plurality of hierarchical geographical features corresponding to the target song, constructing a geographical context graph, and constructing a heterogeneous knowledge graph according to the score knowledge graph and the geographical context graph; performing node feature vectorization processing, heterogeneous graph aggregation processing and contrast learning processing on the heterogeneous knowledge graph to obtain a target embedding vector; performing unsupervised style clustering processing and explainability analysis on the target embedding vector to obtain a song style analysis result of the target song. The score data of the song and the corresponding geographical features are combined to construct a heterogeneous knowledge graph and generate a song style analysis result, so that the accuracy of the song style analysis can be effectively improved.

The invention discloses an underground water level observation method and system fusing multi-dimensional sensing information, and the method comprises the steps: firstly obtaining a coarse-resolution dynamic remote sensing image and a high-resolution static geographic data set, and constructing multi-dimensional input through space-time reference alignment and multi-scale feature stacking; on the basis, a subgrid heterogeneity feature extraction mechanism is utilized to explicitly quantify terrain and geological complexity in a coarse grid, and a physical constraint relation of high-resolution geographic features to low-resolution remote sensing signals is established through an adaptive modulation module, so that the model can simulate a nonlinear modulation effect of a local environment to hydrological signals. And finally, performing end-to-end nonlinear mapping and super-resolution reconstruction on the fused multi-dimensional features by using a U-Net architecture comprising an encoder, a decoder and jump connection, and recovering fine underground water level spatial distribution details while keeping a remote sensing macroscopic trend.

The present application is suitable for the field of geographic information processing and spatial data mining technology, and provides a kind of geographic feature causal mining method considering topological neighborhood, comprising the following steps: obtaining the data of multiple types of geographic features in the target area, and pre-processing, obtaining the geographic feature set containing spatial position coordinates and category attributes;Based on the geographic feature set, the target area is divided into research units, and a plurality of basic research units are obtained, and based on the category attribute of the geographic feature, the spatial distribution of different category geographic features in each basic research unit is counted, and the distribution characteristic value is obtained.The quantitative identification of the causal action direction and the causal action intensity between geographic features can be realized;The structural connection between geographic features can be effectively described, the influence of pseudo correlation is reduced, and the accuracy and stability of causal relationship identification are improved.

The invention relates to the technical field of base station coordinate calibration, in particular to an adjacent base station position correlation calibration method fusing user track LBS data, and the method specifically comprises the steps: obtaining the user track LBS data of a target base station and an adjacent base station; respectively determining an association degree index of the adjacent base station relative to the target base station, geographic features of the adjacent base station and the target base station and a calibration contribution index of the adjacent base station relative to the target base station based on a relative position relationship between the target base station and the adjacent base station and user trajectory LBS data, and calculating to obtain the calibration weight of the adjacent base station relative to the target base station, and calibrating the position information of the target base station according to the calibration weight. According to the technical scheme provided by the invention, the adjacent base station with higher contribution degree to the calibration of the target base station can be obtained, the offset interference influence of complex terrain environments such as cities on the position calibration of the target base station is avoided, and the accuracy and the stability of the position calibration of the target base station are improved.

An information processing device performs: acquiring input data including a current location and a residual electric power amount of an electrically driven mobile vehicle; calculating, on the basis of map information, a geographical feature quantity between the current location and a plurality of locations; calculating an estimative electric power consumptive amount of the electrically driven mobile vehicle from the current location to each of the locations by inputting the geographical feature quantity into a learned model obtained by machine learning of a relationship between: a geographical feature quantity between two locations; and an electric power consumption amount having been consumed to travel between the two locations; generating, on the basis of the estimative electric power consumptive amount for each of the locations and the residual electric power amount, travelable area information indicating a travelable area for the electrically driven mobile vehicle from the current location.

Embodiments of the present application disclose a kind of electronic transaction verification method, device, equipment and storage medium.Based on transaction request, verification application is sent to transaction party, so that transaction party provides first geographic entity sample according to the verification application;Wherein, the transaction party includes payment party and / or receiving party;The first geographic entity sample is analyzed, and the geographic feature to be verified is obtained;The geographic feature to be verified is compared with standard geographic feature;If the comparison result is that the geographic feature to be verified matches the standard geographic feature, then it is verified.The electronic transaction verification method provided in the embodiments of the present application verifies the legality of transaction party by verifying the geographic feature corresponding to transaction party, to improve the security of transaction.

The present invention relates to a method for predicting the value of at least one target quantity having a geographical dependency for a candidate object defined by a first vector of structural characteristics and a second vector of geographical characteristics, the method comprising implementing the steps of: (a) selecting, in a database of reference objects, each of which is also defined by first and second vectors, and associated with a known value of said quantity, at least one set of reference objects comparable to the candidate object, by applying at least one information retrieval model trained on the database of reference objects; (b) estimating the value of the target quantity for the candidate object based on the known values of that quantity for the reference objects comparable to the selected candidate object, by applying a predictive neural network comprising at least one attention block.

The invention discloses a vector digital map drawing method, which comprises the following steps of: 1, setting map drawing parameters, namely setting a geographic coordinate C of a map observation center as an original point of a local relative coordinate system, and determining a map scaling matrix and a rotation matrix; 2, organizing vector geographic element data by using longitude and latitude geographic coordinates; 3, in a graphics processor, using a shader program to convert geometric vertexes of the vector surface elements and the line elements into relative coordinates in a local relative coordinate system, and drawing the relative coordinates; and 4, dynamically calculating the screen positions of the point elements and the letters according to the relative coordinate system of the machine and the set map drawing parameters, and drawing the point elements and the letters. According to the method, the vector geographic elements are dynamically projected and rendered in real time according to the current body coordinate system, so that the consistency of vector map picture space reference and foreground flight picture space reference is ensured, the problem of overlapping display errors of foreground primitives and background map elements is solved, and the map display accuracy and the operation smoothness are ensured.