76 results about "LattisNet" patented technology

Disclosed are an improved GNSS tropospheric delay (ZTD) real-time grid model construction method and system. Firstly, a global tropospheric delay elevation normalization grid model is constructed using global ERA5 reanalysis data from a plurality of years. Then, elevation normalization and grid horizontal interpolation are performed on GNSS real-time ZTDs to obtain a global tropospheric delay real-time grid model. A user only needs to provide position and time information and use the global tropospheric delay elevation normalization grid model and the global tropospheric delay real-time grid model to be able to obtain a ZTD at a target point. According to the present invention, the high spatial resolution of a numerical weather model (NWM) and the high precision of the GNSS tropospheric product are comprehensively used, and an elevation normalization function form is optimized, so that the construction of a tropospheric delay real-time grid model covering a larger height range is achieved, and high-precision tropospheric delay correction information can be provided for GNSS real-time high-precision data processing, thereby improving the data processing performance.

The invention discloses a high-precision DEM construction method based on a point cloud model. The method comprises the following steps: step 1, performing grid division on urban point cloud data, dynamically adjusting the grid size and the neighborhood range based on a weighted gradient value, and calculating the weighted gradient value through the height difference and the distance between the lowest points of a central grid and a neighborhood grid; 2, clustering the urban point clouds by using DBSCAN (Density Based Spatial Clustering of Applications with Noise) and combining the features of color, intensity and texture of the point clouds; 3, taking the extracted ground feature line as a constraint during point cloud filtering, and determining the boundary of a ground point and a non-ground point; step 4, based on the ground feature line constraint in the step 3, executing multi-scale adaptive filtering, and removing non-ground points; 5, taking the extracted ground feature line as a constraint during point cloud filtering, and determining the boundary of a ground point and a non-ground point; and step 6, aiming at different partitions, respectively using a nearest neighbor interpolation up-sampling algorithm to construct a TIN (Triangulated Irregular Network) method to construct an urban high-precision DEM (Digital Elevation Model).

The invention discloses a double-layer ionosphere modeling method fusing low-orbit satellite data, which comprises the following steps of: preprocessing ground-based GNSS (Global Navigation Satellite System) data to obtain an STEC expression of a ground-based GNSS; preprocessing the precise orbit determination data of the low-orbit satellite to obtain a VTEC expression of the precise orbit determination data; obtaining an electron density profile product of the radio occultation of the low-orbit satellite, and obtaining VTEC of the radio occultation through profile integration; using two groups of spherical harmonic coefficients to express global VTEC distribution, and constructing an observation equation; and determining weights of different types of data by using Helmert variance component estimation, and finally solving to obtain two groups of spherical harmonic coefficients to generate an ionized layer grid product. Projection errors caused by vertical layering in a traditional single-layer model are weakened, meanwhile, precise orbit determination data and radio occultation data of a low-orbit satellite are combined, the problem that ionosphere TEC cannot be correctly layered in a double-layer model is solved, data of areas where GNSS tracking stations are sparsely distributed are supplemented, and the reliability of the GNSS tracking stations is improved. Therefore, a global ionosphere model with higher precision is obtained.

The invention discloses an HBase-based spatio-temporal index generation method and system, and the method specifically comprises the following steps: 1, collecting trajectory data, and carrying out the preprocessing of the trajectory data; step 2, generating administrative division codes and geographic grid codes based on the preprocessed trajectory data, and processing timestamps in the data trajectory; 3, splicing the administrative division codes, the geographic grid codes and the processed timestamps to form row key data of the HBase; and step 4, storing the row key data in the HBase to generate a row key index of the HBase, the row key index being used for spatial range, time query and nearest neighbor query.

The invention provides a GNSS (Global Navigation Satellite System) network RTK (Real Time Kinematic) differential data broadcasting method and system based on user position sharing, aiming at improving the resource utilization efficiency and the positioning service precision of a network RTK system. According to the method, after a user sends out a differential data request, an existing broadcast product is searched within a certain range, if differential data meeting conditions do not exist, a new broadcast source is dynamically generated according to the initial position of the user, and the error is calculated through a regional ionosphere and troposphere error model and the correlation between the error and the distance and the elevation. Determining a coverage range of the broadcast source; and if the differential data meeting the condition exists, directly sharing the broadcast source. According to the method, resource waste caused by the fact that no user grid point exists in traditional grid broadcasting is avoided, and meanwhile the problem that troposphere correction numbers are inconsistent due to user elevation difference in a single-layer grid mode is solved by dynamically adjusting generation and sharing of broadcasting sources.

The invention provides a satellite Ka wave band inter-satellite link antenna phase center change calibration method and system, and the method comprises the steps: collecting L wave band observation data and Ka wave band inter-satellite link observation data of a ground observation station, carrying out the gross error elimination, cycle slip detection, epoch normalization and combination, and generating a clock error-free and geometry-free observation quantity; analyzing the variation range of a nadir angle and an azimuth angle of the observation data, constructing a piecewise linear original PCV function model taking the nadir angle and the azimuth angle as independent variables, and synchronously resolving original PCV parameters of a satellite L / Ka wave band in a joint orbit determination process; decomposing the original PCV into a smooth PCV and a corresponding Z-direction PCO by adopting a least square separation technology, performing interpolation on a PCV value based on a discrete grid, and establishing a final PCV grid correction model; joint orbit determination error correction is introduced into the PCV correction model, a new round of joint orbit determination is carried out, the satellite L / Ka waveband PCO correction amount is calculated, and high-precision in-orbit calibration of the satellite Ka waveband inter-satellite link antenna phase center change is achieved.

The invention relates to a CORS service method for improving positioning performance and safety performance of a Beidou terminal, and belongs to the technical field of GNSS positioning. The Beidou terminal requests the CORS service, and in the cold start state, the CORS service center selects whether to send the ephemeris data according to the user request so as to improve the cold start efficiency of the terminal; after the big dipper terminal achieves rough position calculation, the terminal carries out grid code coding on the rough position, meanwhile, encryption is carried out through an encryption algorithm, and the encrypted rough position is sent to a CORS service center; after receiving the request of the Beidou terminal, the CORS service center decodes the grid code encoding information, searches the corresponding virtual observed quantity according to the approximate position, and broadcasts the virtual observed quantity to the Beidou terminal; and after the Beidou terminal receives the virtual observed quantity, grid point coordinates and observed quantity of the virtual observed quantity are decoded, and high-precision real-time positioning is realized. The method is short in positioning time, saves the communication flow overhead, and reduces the exposure risk of the position of the Beidou terminal.

The invention provides an HBase spatio-temporal data storage indexing method and system based on spatio-temporal short codes, and relates to the technical field of big data, time slice short codes and spatial short codes are respectively generated according to time information and a spatial grid; combining the time slice short code, the space short code, the object identifier and the unique identifier to construct a plurality of data partition models, and pre-partitioning the data volume required to be stored in the Hbase database according to the data partition models; and performing spatial indexing or row key indexing according to the row keys, the time slice short codes and the spatial short codes in the various data partition models to obtain an indexing result. According to the invention, the storage query efficiency can be improved.

The embodiment of the invention provides a bridge monitoring satellite data quality control method based on signal-to-noise ratio grid comparison, and belongs to the technical field of satellites. The method comprises the following steps: carrying out pseudo-range single-point positioning calculation according to an observation value file and a broadcast ephemeris file to obtain observation data of each satellite; performing grid division on the satellite sky map according to a preset elevation angle interval and an azimuth angle interval to obtain a standard grid; on the basis of a standard grid, independently stacking observation data of each observation station to obtain a signal-to-noise ratio grid model corresponding to each observation station; performing preferential fusion according to the signal-to-noise ratio grid models of all the observation stations to obtain a high-quality grid model; performing data comparison on the signal-to-noise ratio grid model of each observation station and the high-quality grid model to obtain an available data area of each observation station; and performing quality control on the current observation data according to the available data area to obtain high-quality data. According to the invention, the observation area which is not subjected to interspersed shielding interference can be identified, and data quality control is realized.

The embodiment of the invention provides a multi-path effect correction method and system based on a regular hexagon grid, electronic equipment and a storage medium, and belongs to the technical field of satellite navigation and positioning. According to the scheme, data calculation is carried out on an observation value file and a broadcast ephemeris file to obtain a satellite residual error sequence and a corresponding elevation angle and an azimuth angle; dividing and coding the hemisphere grid based on the regular hexagon units to obtain a regular hexagon grid; mapping the satellite residual error sequence into a regular hexagon grid according to the elevation angle and the azimuth angle corresponding to the satellite residual error sequence to obtain a unit residual error sequence of each regular hexagon unit; performing statistical analysis on the residual sequence of each unit to obtain a multi-path correction value corresponding to the regular hexagonal unit; and performing error correction on the current observation value according to the multi-path correction value. According to the method, the data precision of space field modeling can be improved, accurate correction of a multi-path effect is realized, and thus the precision and reliability of satellite positioning in a shielding environment are improved.

The invention discloses a task prediction method and device based on a multi-scale space-time pre-training large model, equipment, a medium and a product, and relates to the technical field of artificial intelligence, and the method comprises the steps: converting a space-time trajectory point into a space-time trajectory text based on a multi-scale space grid division result; based on the spatio-temporal trajectory text and a pre-training language model, a spatio-temporal pre-training large model is constructed, the pre-training language model comprises a plurality of coding units, and each coding unit comprises a multi-head attention module, a residual module, a standardization module and a feedforward neural network module; inputting a target spatio-temporal trajectory text of a target user into the large spatio-temporal pre-training model to obtain a target user representation; and inputting the target user representation into a downstream task prediction model, and outputting downstream task prediction information. The technical problem that it is difficult to apply user characterization to user portrait type and travel mode type tasks can be solved, and therefore accurate prediction of downstream tasks can be ensured.

The invention discloses a method, device, equipment and medium for eliminating abnormal values in VTEC, and the method comprises the steps: generating a global ionosphere grid model based on a global ionosphere VTEC model which is established based on ionosphere observation information; determining abnormal grid points in the global ionospheric grid model; generating a statistical value of the abnormal grid point based on the peripheral data of the abnormal grid point; and eliminating the abnormal grid points in the global ionospheric grid model based on the statistical values of the abnormal grid points. By adopting the technical scheme of the invention, the problem that the compensation effect depends on the size of the accumulated quantity of the introduced measured data and whether the weight precision of the selected empirical model is appropriate or not when the ionized layer VTEC is an abnormal value in the traditional technology is solved.

The invention discloses a water network path automatic planning and identifying method based on spatial data, belongs to an electronic information technology, and particularly relates to a water network path algorithm. The method comprises the steps of identifying multi-dimensional factors, formulating a unified quantitative standard, performing unified cost model reduction, formulating the unified quantitative standard of the multi-dimensional factors, multiplying a quantitative value of each factor by a corresponding weight, calculating comprehensive cost, performing regional grid consistency division, performing cost reduction, and generating a comprehensive cost surface. And generating a comprehensive cost surface, automatically planning and identifying a path and the like. According to the method, a water network path is generated based on an intelligent path of spatial analysis, multi-source data fusion, dynamic adaptability enhancement, dynamic verification and a self-adaptive optimization mechanism are achieved, and the technical bottlenecks of factor collaborative quantization, dynamic optimization and efficient decision making are solved.

The invention relates to the field of data access control, and provides a spatial authentication method and system for a spatio-temporal data service, and the method comprises the steps: carrying out the grid division of a spatial element region of an administrative region at each level, and obtaining a grid set corresponding to the spatial element region of each administrative region; finding a grid set of the administrative division of the user according to the code of the administrative division of the user; and judging whether a grid of which the distance to the access range requested by the user is smaller than a first set threshold exists in a grid set of the administrative division in which the user is located, if so, determining that the user has the access authority, and otherwise, determining that the user does not have the access authority. According to the method, grids of different scales of space elements are divided, a space grid model is formed, when a client accesses a space service, a user administrative region code, an access range and an introduction model are obtained, in combination with an efficient grid matching algorithm, the access range hit condition is obtained, a server only processes a hit grid request, and the access range hit condition is improved. And finally realizing space range authentication.

This invention discloses a method and apparatus for processing the displacement of point-based Point of Interest (POI) features based on enhanced Morton codes. The method includes: calculating a data region, constructing a quadtree, and encoding the quadtree using Morton codes; decoding the Morton codes to obtain the rows and columns of the grid corresponding to each node in the entire quadtree grid matrix; for each node's corresponding grid, calculating the center point position of the grid using the node's depth and the Morton code through Morton decoding; shifting the geographic target obtained through a single-selection method to the center point position of the grid; when the shift distance exceeds a user-set error threshold, increasing the Morton code length by constructing a virtual sub-grid; and correcting the base map after the shift operation using a base map deformation technique. This invention solves the practical problems of point-based POI data display in the Internet environment, such as mutual overlap and unclear expression of thematic information.

The application discloses a response method and device for differential enhanced service request, equipment and storage medium, the method comprises the following steps: obtaining the differential enhanced service request sent by a service requester; determining the grid range type corresponding to the differential enhanced service request according to the grid coding in the differential enhanced service request; determining the differential correction data in the corresponding grid range and the broadcast frequency of the differential correction data according to the grid range type; sending the generated differential correction data to the service requester according to the determined broadcast frequency; by implementing the application, the differentiated needs of different service requesters for correction data can be met.

The application discloses a kind of power grid facility layout planning method and system based on multi-source perception data, belong to big data analysis and mining technical field, this method includes following steps: acquisition multi-source data and pre-processing, grid region after generating preliminary candidate solution, calculate preliminary candidate solution fitness, by constraint check hierarchical processing, determine to be optimized solution, particle swarm algorithm iteration optimization, according to fitness variation and maximum iteration number termination, form final output, a kind of power grid facility layout planning method and system based on multi-source perception data provided in the application are coupled by space grid pretreatment and GIS technology, scattered data is converted into structured information with spatial correlation, realize multi-objective balance, avoid the limitation of traditional planning heavy single index, light comprehensive performance, rely on particle swarm algorithm hybrid coding strategy, jump out of local optimum trap, provide technical support for efficient and reliable power grid planning.

The invention discloses a method for quickly obtaining CGCS2000 coordinates with an accuracy better than 5 cm, and specifically relates to the field of geodetic measurement technology. The invention provides a method for calculating the average value, obtains the coordinates of the national "Land State Network" stations under the ITRF2008 framework from 1998 to 2014, then uses a time series analysis method to obtain the base station speed, and finally uses a cubic spline fitting method to detect and eliminate the gross errors. The coordinate method adopts the ITRF2008 plate motion model using the rotation vector of the Eurasian plate, and the velocity field data generated by the calculation is the absolute velocity, and has been converted to the ITRF2014 reference frame. Therefore, the coordinate method deeply studies the ITRF coordinate conversion theory and method, and can quickly obtain the CGCS2000 coordinates. The research results show that the difference between the coordinate frames is very small, and the different epochs are the main reason for the coordinate difference. The velocity grid method proposed by the coordinate method is used for coordinate conversion, and the accuracy can reach the cm level, which can be widely used in engineering.

The present disclosure relates to the field of strip-area elevation measurement for line engineering projects, and provides a strip-area quasi-geoid refinement method and device, electronic equipment, and medium. The method comprises: determining actual elevation anomalies of a plurality of measurement control points on the pipeline line centerline; determining model elevation anomalies of each measurement control point using the EGM2008 gravity field model, and then determining elevation anomaly differences of each measurement control point; determining elevation anomaly differences of a plurality of interpolated points of each measurement control point on the line centerline; determining elevation anomaly differences of a plurality of external measurement points on both sides of the line centerline; determining refined elevation anomalies of each measurement control point, interpolated point, and external measurement point; generating elevation anomaly grid data of the target strip-area, and then generating a quasi-geoid model. The method solves the problems of high cost, high difficulty, long cycle time, low accuracy, and poor consistency of results of traditional elevation measurement methods.

The invention discloses a grid merging method and device.The method comprises the steps that the bounding box range of leaf nodes in hierarchical nesting in a target file under a world coordinate system is determined, the target file describes a hierarchical nesting structure and metadata of a three-dimensional tile data set, and the hierarchical nesting structure and the metadata of the three-dimensional tile data set are stored in the bounding box range; the leaf node represents a final rendering unit of the three-dimensional model; performing gridding on the bounding box of each leaf node to obtain a first grid set; and executing a merging operation on the grids in the first grid set. According to the method and the device, the technical problem that space-time analysis and modeling calculation are difficult to carry out on the basis of a unified space unit due to the fact that the three-dimensional tile lacks a gridding representation method of a deep space structure of the three-dimensional tile in the related technology is solved.

The application is suitable for the technical field of GIS, and provides a global longitudinal area permission control method based on gridding, which comprises the following steps: S1, producing domain grid result data; S2, publishing the domain grid result data in the form of service address by using a service publishing template and following the template specification; and S3, establishing an authorization mechanism, and outputting a graphic range cache map which needs to be authorized according to authorization parameters and a service address when an authorization request is received. The application combines GIS and Web deeply, normalizes spatial data by using GIS tools, integrates spatial services by applying Web technology, and connects data and services by using the grid thinking, so as to lay a data foundation for regional control. On the other hand, the application generalizes the normalization rules, and toolizes, processes and automates the rules, so as to provide a quick construction channel for regional control.

The invention belongs to the technical field of shoreline identification, and provides a shoreline identification and optimization method based on a point cloud neural network in an intelligent ship. Point cloud data are collected through the laser radar and are not affected by illumination conditions. The problem that a visual algorithm is limited by weather and illumination is solved, and the method adapts to dynamic environments such as foggy days and tidal changes. The point cloud density is reduced through voxel grid filtering, the data processing amount is reduced, the Edge-Aware Point Net network is improved, characterization learning of dense features does not need to be carried out, the lightweight design of the network structure is achieved, the end-to-end processing delay time is shortened, the ship berthing real-time requirement is met, and the real-time bottleneck is overcome. Differentiation features of a natural shoreline and an artificial shoreline are adaptively processed through a double-path U-net full-convolution integral segment network, and the problem that a traditional method is poor in adaptability to different types of shorelines is solved; the normal vector consistency constraint is introduced into the dynamic constraint K-means algorithm, and the fitting precision of clustering to the complex shoreline form is improved.

The invention discloses a Beidou positioning service correction method and device for a ground-based augmentation system, and belongs to the technical field of positioning and navigation, and the method comprises a terminal space distribution dynamic analysis mechanism and a self-adaptive user screening strategy. The method comprises the following steps: collecting terminal GNSS observation data and CORS station data in real time, extracting double-difference ionospheric delay based on geometric irrelevant combination, and executing multi-dimensional quality screening; a DBSCAN clustering model is adopted to dynamically identify a high-density accumulation area and a sparse area of a terminal, and then a differential grid division strategy is implemented: for each grid unit, outliers are eliminated, and weighted averaging is performed on residual data to generate a representative value; finally, the screened crowdsourcing data and the reference station data are fused to construct a regional atmospheric error model, and VRS correction services are generated and broadcasted, so that the service reliability and the positioning precision in a complex environment are remarkably improved, and the optimal balance between the service quality and the data resource utilization efficiency is finally realized.

This application belongs to the field of digital twin basic data management technology. This application provides an automated method and apparatus for generating spatial identity codes for basic geographic entities. The embodiments of this disclosure acquire the geometric and classification information of basic geographic entities under a unified spatiotemporal reference, automatically calculate the minimum bounding rectangle / minimum outer cube, adaptively select the minimum grid level that can contain the geometric range, and generate two-dimensional or three-dimensional location codes level by level according to the BeiDou grid location code rules. These are combined with classification codes and sequence codes to form a standard field; then, a proprietary identification field is formed by combining this field with root identifier codes and special codes, and extended fields are added as needed to achieve interaction with external codes. This can realize the automated generation, verification, parsing, and traceability of spatial identity codes in scenarios such as provincial, municipal, and county collaborative production updates, two-dimensional / three-dimensional integrated database construction, semantic association, and service publishing, providing unified support for the data organization and management of basic geographic entities and cross-industry interconnection.

The present invention provides an industrial transfer spatial decision-making method and system based on an ANN-GIS-CA architecture, belonging to the field of land and spatial resource utilization. The method first divides the industrial transfer recipient areas into several grids based on GIS and determines the sub-areas to which the grids belong, then constructs an evaluation index system for the industrial transfer reception capacity and calculates the reception capacity score, constructs the evaluation index system structure for the reception effect and calculates the social and economic effect score and the ecological environment effect score; then calculates the six state probabilities of all grids, whether they belong to prohibited development areas and the Euclidean distance from the existing industrial grids; uses the above calculation results as attributes to construct a partitioned asynchronous cellular automaton model, substitutes the grid data of the base year into the cellular automaton model for multiple iterations, and after the accuracy reaches the threshold, divides the future industrial transfer into five different scenarios for simulation, and then makes a decision based on the simulation results. The present invention improves the accuracy and effectiveness of industrial spatial decision-making during industrial transfer.

The application provides a navigation enhancement information transmission method, device and system, and the method comprises the following steps: a server receives a navigation enhancement original message; the server determines navigation enhancement information messages of visible satellites in each grid in real time according to the navigation enhancement original message; the server determines a grid in which a terminal is located according to the position information of the terminal in response to a navigation information enhancement service request of the terminal; and the server sends the navigation enhancement information messages of the visible satellites in the grid in which the terminal is located to the terminal through a ground network and a low-orbit satellite. Through the above scheme, the terminal is grouped based on the grid, so that the purpose of grouping by area can be achieved, the navigation enhancement information messages can quickly reach the terminal, the technical problem of low transmission efficiency of navigation enhancement information in the existing navigation enhancement technology is solved, and the technical effect of quickly and accurately transmitting the navigation enhancement messages is achieved, so that the reliability of terminal positioning is improved.

The invention relates to a ground surface model generation method suitable for low-altitude airspace division, and the method comprises the following steps: 1, obtaining laser point cloud data in a target range, and screening ground surface effective point clouds from the obtained laser point cloud data; step 2, extracting a space range of a flight obstacle in the target range, and performing elevation transformation on the flight obstacle in the target range to obtain transformed point cloud data in the target range; and step 3, performing iterative grid division on the transformed point cloud data in the target range, and assigning each grid as the maximum value of the point cloud elevation in the current grid, namely, generating a surface model. The method has the advantages that the ground surface model generated through the method can remarkably represent the low-altitude flight obstacle, the generated ground surface model data volume is small, the method is suitable for high-frequency calling of the Internet end, and the method has the advantages of being small in operation difficulty, efficient and high in universality.

The invention discloses an ionosphere delay information estimation method and system based on an improved grid, and belongs to the technical field of GNSS satellite navigation system information estimation. The improved grid-based ionosphere delay information estimation method comprises the following steps: extracting inclined ionosphere delay based on observation data of a foundation GNSS, and converting the inclined ionosphere delay into vertical ionosphere delay of an ionosphere puncture point IPP; calculating original and conservative ionosphere delay process noise standard deviation according to the vertical ionosphere delay; calculating an ionosphere process noise covariance through the original ionosphere delay process noise standard deviation and the longitude and latitude of the puncture point IPP; according to the original ionized layer delay process noise standard deviation, the ionized layer process noise covariance and the vertical ionized layer delay, calculating the vertical ionized layer delay GIVD at the grid point IGP and the vertical ionized layer delay precision GIVA; accurate process noise variance and covariance are established, and the accuracy of ionosphere delay precision evaluation is improved.

The present application provides a digital rockery frameless framework automatic generation method technical scheme, including steps (1) carrying out digital collection of rockery scheme; (2) carrying out rockery internal modulus grid unit generation; (3) carrying out rockery template grid merging; (4) carrying out pick plate structure generation; (5) carrying out beam column structure generation; (6) carrying out rockery volume weight calculation; (7) carrying out rockery scheme adjustment and comparison and selection.The present application greatly reduces the time and workload of rockery frameless framework design.

The invention discloses an electromechanical equipment point cloud segmentation method and device based on a self-attention classifier, and the method comprises the steps: obtaining a point cloud scene of hydropower station electromechanical equipment with target density and target scale; marking the point cloud scene point by point to generate a marked data set; preprocessing the labeled data set through grid sampling to generate a training sample; building a self-attention classifier point cloud segmentation network of an encoder-decoder structure, training a model by using a training sample, and storing weight parameters; and on the basis of the weight parameter prediction test set, a prediction result of point cloud segmentation is obtained, high-precision point cloud segmentation of the hydropower station electromechanical equipment can be effectively realized, and the semantic category of each point is obtained.