44 results about "LattisNet" patented technology

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 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 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.

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 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 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 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.

The embodiment of the invention provides a local updating and incremental storage method and system for a live-action three-dimensional model, and the method comprises the steps: superposing original new Mesh data and re-divided old Mesh data, drawing a local updating range, and carrying out the registration of the original new Mesh data based on a coordinate difference value of superposed data corresponding to a control point on a range line; based on the old Mesh data after re-division, the new Mesh data after registration and the updating range, data cutting, space frame unification and geometric merging are carried out, and a merged model is obtained; carrying out smoothing and uniform color processing on the combined model to obtain a local updating model; and storing the obtained local update model in a database to complete local incremental update of the model. According to the method, accurate updating is realized through data registration, geometric cutting and merging and grid unification, and seam dislocation is eliminated; natural transition is ensured by adopting crack elimination and color fusion; the incremental storage mechanism saves space, supports multi-version management, and improves the local updating efficiency and quality of the model.

The invention relates to a method for detecting and processing gravity satellite inter-satellite distance variable rate data gross errors. The method comprises the following steps: firstly, carrying out preliminary abnormal value elimination by adopting a Z-fraction method with additional neighborhood mean value constraint, then dividing a long time sequence after preliminary gross error elimination into a daily short time sequence by day, carrying out grid division on the daily short time sequence, calculating a median feature value and a mean value feature value of each grid of the daily short time sequence, and calculating a mean value feature value of each grid of the daily short time sequence; the median characteristic values of the same grid on different days form a median characteristic value time sequence, and the median characteristic value time sequence is fitted to obtain a median characteristic value time sequence fitting value; finally, calculating the residual error of the time sequence fitting value of the mean value characteristic value and the median characteristic value of each grid, if the residual error is greater than or equal to a threshold value, determining that gross error exists in the grid, and if the residual error is less than the threshold value, determining that gross error does not exist in the grid; and if a gross error is suspected to exist, further calculating a residual error of each epoch data in the grid and a median characteristic value time sequence fitting value, and if the residual error of a certain epoch data is greater than or equal to a threshold value, determining that the epoch data is the gross error and removing the epoch data. The trend modeling process and the residual analysis process are closely combined with the spatial-temporal correlation of data, so that the evolution process of anomalies can be described more reasonably, and the physical rationality and method robustness of overall gross error detection are improved.

The invention discloses a self-adaptive anisotropic filtering method, device and equipment and a storage medium, and relates to the technical field of signal processing and filtering, and the method comprises the steps: obtaining a warp gradient and a weft gradient of unfiltered gridding land water reserve abnormal data; analyzing the spatial distribution characteristics of the stripe noise based on the warp gradient and the weft gradient, and dynamically determining the filtering parameters of the anisotropic Gaussian filtering kernel; constructing an anisotropic Gaussian filtering kernel according to the filtering parameters; performing edge filling processing on the unfiltered data to generate a filled expansion matrix; and on the basis of an anisotropic Gaussian filtering kernel and filtering parameters, weighted convolution calculation is carried out on the filled expansion matrix to obtain filtered land water reserve abnormal data, so that strip noise is effectively suppressed, and the intensity of an original signal is reserved.

This invention discloses a grid atmospheric modeling and PPP-RTK positioning method and system applicable to BeiDou PPP-B2b service. The server combines broadcast ephemeris data with PPP-B2b corrections, and generates high-precision satellite orbit clock errors through benchmark unification processing. A non-differential, non-combined model that takes into account specific satellite clock error deviations is constructed using regional reference station network data to estimate the uncorrected phase delay compatible with these deviations. Based on this delay and orbit clock errors, ambiguity is fixed stepwise, regional ionospheric and tropospheric delays are extracted, and a grid atmospheric enhancement product is generated through a two-layer modeling strategy of fitting and adding residuals. The phase delay and atmospheric product are broadcast to the user terminal. Upon receiving the data, the user terminal recovers the atmospheric corrections, incorporates them as constraints into the observation equations, and performs rapid ambiguity fixing in conjunction with the phase delay to achieve positioning. This invention achieves rapid ambiguity fixing for PPP-B2b service in dynamic scenarios, significantly shortening convergence time and improving positioning accuracy.

This invention discloses an intelligent early warning system for water conservancy systems based on digital twin technology, belonging to the field of water conservancy early warning technology. By constructing a network topographic twin model Twin with the unified support of a standardized time-series dataset Dset and running it in real time, the system enables flood prediction to go beyond traditional single-point water accumulation monitoring. Instead, it combines the dynamic comparison of inflow demand load Qdem and outflow capacity Qsup to identify the most vulnerable areas in advance and generate a bottleneck set Bset. This effectively solves the problem of insufficient coverage of potential flood points in existing technologies. Furthermore, this system uses the bottleneck set Bset as the overflow starting point to calculate and generate a water accumulation depth grid Hmap and map it to form a water accumulation road segment set Aset. This allows the system to clearly indicate the location, depth level, and duration of water accumulation on specific road segments during rainstorms, achieving full-chain coverage from network carrying capacity assessment to road risk early warning.

The application discloses a large-area PSInSAR processing method, device and equipment based on a block strategy, which comprises the following steps: automatically dividing data blocks by using a regular grid division method with overlapping degrees according to the row and column numbers of original data and sub-block parameters to obtain a plurality of sub-blocks; performing block PS point selection, block network construction and block parameter solving processing on each sub-block; and adjusting parameters between the sub-blocks by using overlapping degree information and connection relationship between the sub-blocks to realize result smoothing and accurate splicing. The application firstly divides data blocks and then performs block processing, thereby improving memory occupation in the steps of point selection, network construction, parameter solving and the like during PSInSAR processing and improving parallel processing efficiency; the number of PS points and the number of network redundant arc segments can be increased without reducing the calculation efficiency under the current hardware conditions, which is beneficial to improving the precision, density and coverage area of the result; and the information of the homonymic points considering the sub-block overlapping degree can smoothly and accurately splice the sub-blocks and inhibit the propagation of global errors.

The invention belongs to the technical field of digital twinning, and particularly relates to a digital twinning-based power grid engineering area underground pipe network modeling method, which comprises the following steps of: initializing a digital twinning model of an underground pipe network, carrying out gridding on the digital twinning model, and calibrating static parameters; based on a state transition equation of a coupled multi-physical field, performing state propagation on particles representing grid node states to obtain predicted particles; evaluating the engineering risk degree of each grid node, wherein the engineering risk degree is determined based on the construction risk coefficient, the state uncertainty and the safety margin; redistributing the particles according to the engineering risk degree; and fusing heterogeneous sensor data, calculating the weight of the prediction particle, calculating the optimal state estimation value of the grid node according to the normalized weight of the prediction particle, and updating the digital twinborn model. According to the method, non-uniform distribution of the computing resources to the key area is realized, and the model estimation precision and the real-time performance of risk early warning are improved.

The invention discloses an enterprise planning and site selection method based on probability statistics, which relates to a data processing technology and comprises the following steps: acquiring enterprise site selection characteristics from sample enterprises; the method comprises the following steps: converting enterprise site selection characteristics into a quantifiable multi-level index system, dividing a research area into a plurality of grid units, placing sample enterprise data of a sample enterprise in the grid units, and respectively detecting whether each index is related to enterprise site selection through chi-square test; if the indexes are irrelevant to enterprise site selection, the indexes are removed from the multi-level index system; counting probability distribution of each index according to index grading; and calculating a final site selection probability from the multistage index system according to the probability distribution, and endowing the final site selection probability to the grid unit to obtain a grid site selection probability graph. According to the method, probability statistics and geographic information are combined, simplicity, interpretability and cost effectiveness are kept, practicability and fusion with traditional planning are more emphasized, and implementation obstacles caused by excessive dependence on complex technologies are avoided.

The application relates to the technical field of city planning, and discloses a micro-size city expansion measurement method based on a central grid area index, which comprises the following steps: constructing a basic grid, performing step-by-step spatial expansion on the basic grid to form multiple grids of different scales; dividing the research area into uniform grids by using the grids of different scales, then calculating the central grid area index CGAI corresponding to each grid under each scale, and formulating a screening rule based on the central grid area index CGAI, so as to screen the grids, and the remaining grids constitute the CGAI distribution map of the research area corresponding to the grid. The CGAI distribution maps of different scales are reasonably evaluated, and the CGAI distribution map with the highest evaluation result is taken as the final result output.

The invention discloses a power grid facility layout planning method and system based on multi-source sensing data, and belongs to the technical field of big data analysis and mining, and the method comprises the following steps: collecting and preprocessing multi-source data, generating a preliminary candidate solution after a gridding region, calculating the fitness of the preliminary candidate solution, and carrying out the hierarchical processing through constraint inspection, according to the power grid facility layout planning method and system based on the multi-source perception data, space gridding preprocessing is coupled with the GIS technology, a to-be-optimized solution is determined, iterative optimization is carried out through the particle swarm optimization algorithm, termination is carried out according to fitness changes and the maximum iteration number, and final output is formed. The power grid facility layout planning method and system based on the multi-source perception data have the advantages that space gridding preprocessing is coupled with the GIS technology; the distributed data is converted into structural information with spatial correlation, multi-target balance is achieved, the limitation that traditional planning is heavy in single index and light in comprehensive performance is avoided, a local optimal trap is jumped out based on a particle swarm optimization hybrid coding strategy, and technical support is provided for efficient and reliable power grid planning.

The invention discloses a special-shaped stone large sample drawing automatic generation method, device and equipment, a medium and a product, and relates to the technical field of stone processing. The method comprises the steps that after special-shaped stone models used for forming a target building body are obtained, unique codes of the special-shaped stone models and sample graph grids with the number of grids not smaller than that of the models are generated, and then the special-shaped stone models are moved into the corresponding grids in a one-to-one correspondence mode; an initial special-shaped stone large sample drawing is generated, unique codes of corresponding models are marked, and finally, size information of all side lines, the stone volume, the minimum stone block volume, the optimal outturn percentage and edge line size information of the corresponding minimum stone block are automatically obtained and marked on the corresponding special-shaped stone large sample drawing for each model. Therefore, the problems that an existing method is time-consuming, labor-consuming and easy to make mistakes can be fundamentally solved, a key bridge from digital design to precise machining is broken through, and the cooperation efficiency and the engineering quality of the whole industrial chain are improved.

This invention discloses an adaptive parallel global icosahedral unstructured mesh encoding generation and subdivision method, relating to the field of spatial information technology. It includes: obtaining an initial mesh code based on a regular icosahedral spherical rhombic mesh designed with a simple linear sequential filling; setting the number of cores and determining the encoding method based on the set number of cores to obtain a new mesh code; converting the relationship between the new mesh code and the initial mesh code to a one-to-one correspondence with Earth's latitude and longitude; updating the mapping table based on the geometric relationship between U-grids and T-grids in the new mesh code, generating an nc format image file that can globally display the one-to-one correspondence between the code and geographical location. This invention optimizes the number of boundaries between cores by modifying the mesh code through changes in the number of cores, significantly reducing the boundary communication volume between cores, shortening the boundary communication time, and making it easier for the program to achieve load balancing.

The application discloses a network RTK user request fast matching method based on a row-column number mechanism, comprising the following steps: acquiring satellite ephemeris, reference station original observation values and reference station coordinate data; a grid division module divides regional grid points according to the minimum value of the left lower corner, the maximum value of the right upper corner and the division interval of a reference station group; Delaunay triangular network elements are divided according to the accurate coordinates of the reference station group, and the gravity center coordinates of each triangle are calculated; the ambiguity between reference stations in each triangular network element is calculated according to the division result; the space correlation error values between reference stations are calculated and generated; the pseudo-range observation values and the carrier phase observation values of virtual reference stations are interpolated; all difference correction products are sent to a broadcasting platform; when a user requests product service, the broadcasting platform firstly verifies the user, refuses service if the verification fails, and performs product fast matching if the verification passes; after the matching is completed, the product is broadcast to the user to complete high-precision positioning.

This invention discloses a method for constructing a high spatiotemporal resolution ionospheric model using dense GNSS deformation monitoring stations. The method includes: collecting dual-frequency observation data and broadcast ephemeris data from dense GNSS deformation monitoring stations within the modeling area; calculating multipath effects, cycle slip ratio, and data effectiveness, and selecting data that meets quality requirements; acquiring satellite-end DCB and receiver-end DCB respectively; calculating geometrically insensitive distance combinations using the selected dual-frequency observation data, and combining the satellite-end DCB and receiver-end DCB to obtain the oblique path TEC; based on the thin-layer assumption, calculating the puncture point location of the satellite signal in the thin layer, the satellite elevation angle, and azimuth angle at the puncture point, and converting the oblique path TEC to vertical TEC using a projection function; constructing a TEC grid model, and averaging the vertical TEC of all puncture points falling in each grid to obtain the TEC value and system. This invention utilizes data from existing large-scale dense GNSS deformation network monitoring stations for calculation, achieving data value enhancement without increasing construction costs.

The invention relates to the technical field of satellite telemetry data processing, and provides a management and retrieval method for a multi-resolution global reference base map database aiming at the problem that reference base maps with different resolutions lack a unified coding system. Geographic space coordinates are converted into simple and regular digital codes, so that the base map quick retrieval method with the time complexity of O (1) is realized, and the problems of efficient management and quick retrieval of massive and multi-resolution reference base map data in the processes of registration and the like are solved.

The invention provides a navigation enhancement information transmission method, device and system, and the method comprises the steps: a server receives a navigation enhancement original message; the server determines navigation enhancement information messages of visible satellites in the grids in real time according to the navigation enhancement original messages; the server responds to the navigation information enhancement service request of the terminal and determines a grid where the terminal is located according to the position information of the terminal; and the server sends navigation enhancement information messages of the visible satellites in the grid to the terminal through the ground network and the low-orbit satellites. According to the scheme, the terminals are grouped on the basis of the grids, so that the purpose of grouping according to regions can be achieved, the navigation enhancement information messages can quickly reach the terminals, the technical problem of low transmission efficiency of the navigation enhancement information in the existing navigation enhancement technology is solved, and the navigation enhancement information transmission efficiency is improved. The technical effect of quickly and precisely transmitting the navigation enhancement message so as to improve the reliability of terminal positioning is achieved.