389 results about "Longitude" patented technology

The invention provides a side slope radar point cloud data slice abnormal value complementing method based on space-time fusion, which comprises the following steps: acquiring point cloud data of a plurality of time slices obtained by scanning of a side slope radar, and mapping the point cloud data into a three-dimensional point cloud; identifying a piece of abnormal regions of the three-dimensional point cloud through statistical filtering and a density-based clustering method; constructing a point cloud processing model based on PointNet + +, generating masked data and a mask index by adopting a mask strategy, and masking off pieces of point clouds; spatial features are extracted in different regions, static space weight matrixes generated by longitude and latitude and time difference global features are fused, deformation values of mask regions are predicted through a full-connection network, and model parameters are optimized; and inputting the trained model into latitude and longitude coordinates of an abnormal region of actual missing point cloud data, performing abnormal value completion, outputting a completed deformation value, and calculating a completion precision index. According to the method, the completion effect is good, all abnormal values of multiple time slices can be completed at a time, and the calculation efficiency is improved.

The invention discloses a GIS-based artificial influence weather operation command method and device, and the method comprises the steps: obtaining meteorological data and geographic information data, and carrying out the spatial registration of the meteorological data and the geographic information data according to latitude and longitude coordinates, and obtaining the initial data after registration; determining a first target area according to the geographic information data; analyzing the weather data of the first target area based on the initial data, determining an operation mode according to an analysis result, and formulating an operation sowing amount based on the operation mode; and carrying out weather operation in the first target area by using the operation equipment according to the operation mode and the operation sowing amount. According to the invention, through integration of the GIS and the meteorological data, accurate command and control of artificial influence weather operation are realized, and the operation efficiency and effect are improved.

The invention provides a deep-sea subsurface buoy three-point positioning method. The deep-sea subsurface buoy three-point positioning method comprises the steps that the longitude and latitude of a subsurface buoy weight entering water, the seawater depth and the distance between a deep-sea releaser and the subsurface buoy weight are obtained when a deep-sea subsurface buoy is laid; within a set distance from the water entry point of the subsurface buoy heavy block, three position points which are not in the same straight line are selected, and latitude and longitude coordinates of the three position points are recorded; actually measuring the distances from the three position points to the deep sea releaser; and obtaining latitude and longitude coordinate positions of the deep sea subsurface buoy based on a three-point positioning method of solid geometry. The method has the advantages that the calculation method is simple, the operability is high, the actual laying position of the deep sea subsurface buoy can be corrected, and the estimation precision of the laying position of the deep sea subsurface buoy is improved. And powerful support is provided for subsequent acoustic experiment data processing and subsurface buoy recovery and salvage.

The invention discloses a picture-based power grid facility ledger extraction method and system capable of defining a range, and belongs to the technical field of image processing, and the method comprises the steps: carrying out the picture boundary cutting of a meteorological picture to match a map region; registering the meteorological picture with a map geographic coordinate system to form a longitude and latitude-pixel registration dictionary; the method comprises the following steps: defining and drawing a polygonal region on a meteorological picture to specify a range for extracting power grid facility information, and determining a judgment region by describing a vertex of a polygon to realize extraction of pixel coordinates in a self-defined polygonal range in the meteorological picture; pixel coordinates in the self-defined polygon range in the extracted meteorological picture are converted into corresponding actual longitudes and latitudes through the longitude and latitude-pixel registration dictionary; and extracting and summarizing the power grid facility information in the set range of the geographic coordinates according to the actual longitude and latitude to form a ledger for exporting the power grid facility information. The purpose of quickly and accurately extracting the power grid facility information ledger in the self-defined area from the meteorological picture is achieved.

The present invention discloses a method for analyzing the spatio-temporal variation of the earthquake geomagnetic field for short-term and impending earthquake monitoring, which is as follows. First, the geomagnetic stations within a given range of longitude and latitude are divided into multiple rectangular grids according to longitude and latitude. The multi-component data of each station within the range of longitude and latitude on the detection day and the previous 60 days are preprocessed into multiple segments of standard time series. Then, the daily absolute mean error of each component prediction sequence is taken, and the difference sequence is subjected to anomaly detection through a sliding interquartile range detection algorithm to obtain the daily anomaly value of each component. Then, according to the daily geomagnetic disturbance index, the anomalies caused by magnetic storms are removed. Finally, the daily anomaly index matrix of each station is generated according to the grid size, and the sum of the anomaly index matrices of all stations on the detection day and the previous 29 days is obtained to get the final regional daily anomaly index matrix, and the range of anomalous longitude and latitude is obtained. This method monitors the anomalous changes of the geomagnetic field within the region and provides a reference range for the geographical locations where earthquakes may occur.

The invention discloses a positioning method, device and equipment based on ionosphere error correction and a medium, and the method comprises the steps: obtaining a real-time observation data set of a target CORS system, calculating the real-time ionosphere delay of each observation satellite in each reference station, and obtaining a real-time ionosphere delay set; calculating longitude and latitude correction parameters of each reference station through the real-time ionosphere delay set and longitude and latitude change rate reference coefficients pre-acquired by each reference station, and updating a pre-acquired original ionosphere correction model through the longitude and latitude correction parameters to obtain a new ionosphere correction model; and generating a corrected ionosphere error through the new ionosphere correction model, and correcting positioning data acquired by the target CORS system through the corrected ionosphere error. According to the method, the problem that the change rule of the ionosphere on the longitude and latitude is ignored in the traditional positioning technology can be solved, so that the accuracy of the CORS system satellite positioning is improved.

The invention discloses a land gravity far-area terrain correction method and system based on a digital elevation model. The method comprises the following steps of: performing weighted average calculation on a far first region terrain correction value and a far second region generalized terrain correction value of regular distribution measuring points near irregular distribution measuring points by adopting a bilinear interpolation algorithm on the irregular distribution measuring points to obtain a far region terrain correction value; on the basis of a calculation algorithm of a terrain unit gravitational potential vertical partial derivative of a local rectangular coordinate integral kernel of a measuring point under a spherical coordinate system, high-precision calculation and accumulation are carried out on terrain units one by one, the influence of earth surface bending is considered, and a high-precision and high-resolution digital elevation model can be utilized to the greatest extent. A high-precision digital elevation model represented by geographic latitude and longitude is uniformly subdivided for terrain interfaces of a far first area and a far second area, so that digital elevation units with different resolutions are ensured not to be overlapped or have gaps to the greatest extent, and a high-precision and high-resolution digital elevation model is adapted; and subsequent updating and maintenance of the digital elevation model and the remote terrain correction value library are facilitated.

The invention discloses a meteorological element spatial interpolation method based on terrain coupling and a hybrid model. The meteorological element spatial interpolation method comprises the following steps: acquiring meteorological station observation data and digital elevation model (DEM) data of a research area; converting the longitude and latitude coordinates of the meteorological stations into a projection coordinate system which is the same as the DEM data, and extracting DEM values corresponding to the positions of the stations; the longitude, latitude and DEM value of a meteorological station are used as input characteristics, and a thin-plate spline function is adopted to carry out preliminary interpolation; constructing input features of the machine learning model; an XGBoost algorithm is adopted to train a machine learning model; creating a regular grid according to the target resolution, and performing interpolation prediction on grid points; and performing Gaussian filtering smoothing processing on the prediction result to obtain a final interpolation result. According to the method, terrain information is integrated, adaptive parameter optimization for different meteorological elements is realized, calculation efficiency and interpolation precision are balanced, nonlinear characteristics and spatial heterogeneity of meteorological data are processed, and spatial continuity and precision of an interpolation result are improved.

The utility model provides an equatorial sundial. The equatorial sundial comprises a latitude plate, a sundial surface fixing plate, a sundial disc and a time difference speed checking ruler, the sundial surface fixing plate is formed by folding a sundial surface fixing plate front surface and a sundial surface fixing plate back surface, geographic longitude scales are arranged on the sundial surface fixing plate front surface, and the sundial surface fixing plate is fixed on one side edge of each of the two latitude plates; the sundial disc is clamped between the sundial surface fixing plate front side and the sundial surface fixing plate back side of the sundial surface fixing plate, a sundial needle is arranged in the center of the sundial disc, time scales are arranged on the front side and the back side of the sundial disc, and the front side of the sundial disc is further provided with a geographic longitude alignment line, date scales and a true ordinary time difference graph corresponding to the date scales. The geographical longitude alignment line is aligned with the geographical longitude of the corresponding observation place on the geographical longitude scale; one end of the time difference speed checking ruler is provided with a first positioning hole which can be positioned on the sundial needle, and the time difference speed checking ruler is provided with time difference scales. The time difference measuring device can be widely applied to different places, and is convenient to measure time difference and convenient to manufacture.

The invention relates to the technical field of data reasoning, and discloses a new energy station output prediction method, which comprises the following steps of: extracting environment characteristics in meteorological data, coding the environment characteristics into environment characteristic vectors, and combining inverter change conditions and component attenuation characteristics of a new energy station into equipment characteristic vectors; fusing the environment feature vector and the equipment feature vector into a dynamic feature vector of the new energy station; predicting an initial output value of the new energy station based on the dynamic feature vector; constructing a spatial relationship matrix based on the latitude and longitude coordinates of the new energy station, and superposing the illumination intensity in the meteorological data into the spatial relationship matrix to obtain the spatial weight of the new energy station; when the new energy station is a hub station, strengthening the spatial weight according to the output fluctuation correlation between the hub station and the peripheral stations, and predicting the final prediction value of the new energy station based on the strengthened spatial weight; according to the invention, the accuracy and speed of new energy station output prediction can be improved.

The invention provides an IGSO satellite tracking method and device of an automatic satellite tracking antenna and a medium. The method comprises the steps that orbit parameters and epochs of a target IGSO satellite are acquired; extrapolating the orbit from the orbit epoch moment, setting the extrapolation time as an orbit period T and calculating the step length S; converting the orbit data into earth-fixed system coordinate system coordinates and sub-satellite point data at corresponding moments; and calculating the direction vector of the antenna pointing to the satellite according to the latitude and longitude of the tracking antenna and the earth-fixed system coordinate data at the corresponding moment, and converting the direction vector into an azimuth angle and a pitch angle, thereby generating an antenna guide data file. And then calculating a guide data sequence number at the current moment through a date difference value between the current system time and the track epoch moment. And finally, the antenna orientation and the pitching motor are controlled to move to the target position corresponding to the guide data serial number, and the technical scheme provided by the invention can realize the tracking of the traditional automatic satellite tracking antenna on the IGSO satellite on the premise of not changing the antenna form.

The invention discloses an inertial navigation system periodic oscillation suppression method based on time-frequency transformation, and relates to the technical field of underwater navigation, and the method comprises the following steps: S1, modeling an error propagation model of an INS, and defining coordinate systems required by INS navigation, including an inertial coordinate system, a navigation coordinate system and a body coordinate system; based on the INS navigation equation, obtaining an INS error model, and carrying out time domain analysis to obtain an analytical solution of time domain error divergence; s2, designing a time-frequency transformation NTFT, proposing a normal phase time-frequency transformation method, and constructing a complete observation equation; s3, substituting a null method into a calculated longitude and latitude result, and accurately extracting frequency, phase and instantaneous amplitude in inertial navigation longitude and latitude; and S4, establishing a resolving framework of the inertial navigation system periodic oscillation suppression method based on time-frequency transformation, and constructing a negative feedback loop through input gyroscope and acceleration information to suppress periodic errors.

An apparatus for displaying the passage of time as we experience the movement of the sun. Civil time, solar time, sunrise, solar noon, sunset, the date, equinoxes, solstices, and seasons are represented in a single, integrated display. The display includes a representation of the sun revolving about a center once per day, rising and setting relative to a representation of the horizon, with solar noon, rather than civil-time noon, continuously at the top of the display. The apparatus accounts for and is adjustable to latitude and longitude. The apparatus accounts for all naturally perceptible motions of the earth with respect to the sun, including the variation in the length of the solar day, whose cumulative difference with civil time is expressed as the equation of time.

The invention discloses an inertial navigation system point position correction method and device based on a transverse geography system, and the method comprises the steps: obtaining transverse longitude and latitude calculated by inertial navigation updating and angle measurement information measured by a gyroscope at the current navigation time, building a transverse geography system navigation drift error model, in combination with a conversion relation between navigation parameters of a transverse geographic coordinate system and a traditional geographic coordinate system, a navigation drift error compensation parameter is calculated through a transverse longitude error and a transverse latitude error, and the transverse longitude of inertial navigation update calculation and the transverse latitude of inertial navigation update calculation are corrected; the corrected transverse longitude and the corrected transverse latitude are obtained, navigation drift error compensation parameters are projected to a transverse geographic coordinate system, angle measurement information measured by a gyroscope is corrected, and corrected angle measurement information is obtained. According to the method, the inertial navigation high-latitude long-endurance navigation precision can be improved based on position correction and drift error suppression of high-latitude transverse geographical system long-endurance navigation.

Wearable electronic devices can be equipped with global positioning system (GPS) location sensors that can be used to determine its latitude and longitude coordinates. The device can include a magnetometer sensor to determine its direction on a digital compass. The device can be used to configure the location of a GPS boundary. The size and shape of the boundary can be configured on either the wearable device or a separate computing device. The wearable device can be either inside of a boundary or outside of a boundary. The boundaries can have assigned priority levels that may determine the information displayed on the device. The device can traverse boundaries of different priority levels that may determine the information displayed on the device. The device's boundary status can be relayed to a server for data processing.

The invention discloses a target positioning method and system based on target height correction monocular distance measurement, and the method comprises the steps: carrying out the calibration of a ship-borne camera through a data set, employing a YOLO target detection model, carrying out the detection of video data collected by the ship-borne camera, and obtaining the bounding box information of a target; and secondly, according to bounding box information, calculating a yaw angle of the target relative to a main point of the shipborne camera, and obtaining an azimuth angle by combining an orientation angle of the main point of the shipborne camera. And then height correction is carried out to measure the distance between the target ship and the shipborne camera. And finally, according to the azimuth angle and the distance, combining the latitude and longitude coordinates of the shipborne camera to obtain the actual geographic latitude and longitude coordinates of the target ship. According to the method, the goodness of fit between distance measurement and actual image geometry is improved, the actual object distance is reflected more accurately, and accurate and efficient target positioning is carried out.

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

The invention discloses a high-precision satellite attitude correction method, system and equipment for a maximum initial positioning error, and belongs to the technical field of machine vision image matching. A proper reference region is selected to prepare a first reference image and a second reference image, and feature descriptors of the reference images are extracted offline; performing down-sampling on a remote sensing image acquired by a satellite remote sensing camera, and performing image matching on a real-time image after down-sampling and the first reference image; calculating the optimal window position of the ground calibration point of the reference area in the real-time image according to the matching result; cutting the real-time image according to the window position to obtain a high-resolution calibration point real-time image; performing image matching on the high-resolution calibration point real-time image and the second reference image; and calculating latitude and longitude coordinates of the center of the real-time image according to a matching result for satellite attitude correction. The position error of the target area is gradually reduced in a two-stage remote sensing image matching mode, the longitude and latitude coordinates of the center of the real-time image are accurately positioned, and high-precision satellite attitude correction is realized.

The invention provides a shielding influence evaluation method for a radar station. The method comprises the following steps: determining relative coordinates of a single longitude and latitude point of a building in a spherical coordinate system taking the radar station as an original point; taking the building as an obstacle, and judging whether the relative distance between the radar station and the obstacle is greater than a protection range threshold according to the relative coordinates; if yes, height limit calculation does not need to be carried out according to the requirement of the vertical shielding angle; otherwise, determining the altitude limit of the obstacle according to the relative distance; if the obstacle comprises a plurality of longitude and latitude points, repeating the steps for each longitude and latitude point to sequentially calculate all azimuth angles and determine a horizontal shielding angle according to the azimuth angles, otherwise, determining the obstacle width limit according to the relative distance; and determining the comprehensive altitude limit of each longitude and latitude point of the obstacle and the comprehensive horizontal shielding angle or the comprehensive limit width of the obstacle. The invention further provides a corresponding system. According to the shielding influence evaluation method, the labor cost can be reduced, and the calculation precision and accuracy are improved.

The invention relates to an automatic drawing method for a religious boundary map and a boundary point, and the method comprises the following steps: achieving the automatic conversion of projection coordinates into latitude and longitude coordinates in a degree-minute-second format through programming processing according to a Gaussian-Kruger inverse calculation formula; the method comprises the following steps: judging the range of a religious boundary site, selecting proper mapsheet size and mapping geographic parameters, reading a projection coordinate file of the religious boundary site point, combining mapping information and internal unit contents, automatically drawing a religious boundary site map according with technical specifications through programming processing, and realizing automatic annotation of the religious boundary site point. The function of automatically converting projection coordinates to latitude and longitude coordinates in a degree, minute and second format can be achieved in an AutoCAD model space environment, independent calculation and manual repeated operation are reduced, and working efficiency and accuracy are improved.

The application discloses a high-precision earthwork measurement algorithm and system for constructing a three-dimensional model based on unmanned aerial vehicle aerial survey, and the method comprises the following steps: arranging image control points and check points in a to-be-measured area in advance; starting unmanned aerial vehicle aerial survey image data collection, and performing supplementary measurement on an obstacle-shielded area to obtain supplementary data; importing the aerial survey image data to generate a real scene three-dimensional model; finding an image control point mark position on the three-dimensional model and corresponding puncture points of actual measured image control points, converting model latitude and longitude coordinates into project coordinates after matching all the image control points, regenerating a three-dimensional model, and importing check point coordinate data to verify the model precision. Seed points are added to remove obstacles and restore the ground terrain, and then drawings and design elevations are imported to perform high-precision earthwork calculation, so that the problems of complex calculation operation, easy errors and large time consumption of manual operation combined with other software are solved, accurate data support is provided for earthwork construction, and the project construction period is saved.

The invention discloses a ship navigational speed optimization and carbon intensity grade evaluation system which can meet the requirements of the latest laws and regulations, strengthen ship operation cost control and further save ship navigational oil consumption estimation and carbon dioxide emission. According to the technical scheme, the system is characterized by consisting of the following modules: a route planning module (1), a meteorological data module (2), an oil consumption estimation module (3), a solving module (4) and a result output module (5), wherein the route planning module (1) has the functions of outputting an optimal navigation route, equally dividing the optimal navigation route to generate i subdivided route segments, and calculating the distance of each subdivided route segment; the meteorological data module (2) has the functions of inputting latitude and longitude and UTC time and outputting sea condition information of latitude and longitude positions at the UTC time; the fuel consumption estimation module (3) is used for outputting the main engine rotating speed and the main engine fuel consumption of the ship; the solving module (4) is used for calculating the total oil consumption and the CII grade of the ship main engine of the voyage and the main engine rotating speed and the voyage speed of the subdivided voyage segments; and the result output module (5) displays the result. The invention further discloses an evaluation method.

The invention discloses a high-resolution cloud-to-ground lightning density regression method using a random forest and topographic factors, and belongs to the field of cloud-to-ground lightning density regression, and the method comprises the steps: dividing a target region into 0.001 degree * 0.001 degree geographic grids by collecting cloud-to-ground lightning data of a lightning positioning system and high-precision digital elevation model data, and carrying out statistics on the cloud-to-ground lightning density and carrying out filtering processing to eliminate noise. Meanwhile, terrain parameters are obtained and resampled to the spatial resolution consistent with the ground-to-ground lightning density data. And inputting the filtered cloud-to-ground lightning density as a target variable and topographic parameters and latitude and longitude coordinates thereof as predictive variables into a random forest regression model for training, and outputting a high-resolution cloud-to-ground lightning density distribution diagram. And evaluating the performance of the model through statistical indexes, and comparing the result with actually measured data for verification. According to the method, the traditional statistical resolution limit is broken through, the resolution improvement from the kilometer level to the hectometer level is realized, and support is provided for the refined lightning protection design of the power transmission line.

The invention discloses a method for predicting the slope of a road in front of a vehicle based on a GPS, and relates to the technical field of intelligent traffic systems. The method comprises the following steps: S1, acquiring current position information of a vehicle through a GPS module; s2, carrying out coordinate conversion by a coordinate conversion module, and carrying out conversion calculation on a longitude and latitude coordinate point (longnitude, laser) of a WGS-84 coordinate system where the vehicle is located to obtain a plane rectangular coordinate point (x, y) of a universal transverse Mercator grid system UTM (Universal Transverse Mercator Grid System); s3, storing the position information data into a storage module, and storing the historical position information passed by the vehicle according to the driving route of the vehicle; according to the method, high-reliability and high-universality prediction of the slope of the road in front of the vehicle is realized at low cost; the GPS module (such as a built-in Tbox) which is generally equipped on a vehicle is fully utilized to directly obtain latitude, longitude and altitude data, so that the hardware cost for installing an expensive gradient sensor or a high-precision map box is completely saved, and the huge investment for manually collecting and maintaining a road gradient map on a large scale is also avoided.

A providing device includes: an accepter to accept an address character string; an acquirer to acquire latitude-longitude information associated with the accepted address character string; an extractor to extract position information recorded in association with the accepted address character string from a database; a determiner to determine whether or not the latitude-longitude information is correct; and a provider to provide, when the latitude-longitude information is determined to be correct, delivery-destination map information in which a position determined based on the latitude-longitude information is displayed on a map and provide, when the latitude-longitude information is determined not to be correct, delivery-destination map information in which a position of the accepted address character string is displayed on a map, based on the extracted position information.

The invention relates to the field of marine navigation, and provides a satellite positioning continuous compensation method, system and device based on multi-source data and a medium, and the method comprises the following steps: obtaining navigation data through a navigation device, determining a reference timestamp, selecting a time window according to the reference timestamp, and carrying out data alignment to obtain satellite navigation data, log data, inertial navigation data and compass data; the yaw angle is calculated through satellite navigation data and compass data, the water flow speed is calculated through the satellite navigation data and log data, and continuous compensation is conducted through the water flow speed and the yaw angle; calculating a position offset according to the inertial navigation data, and calculating a longitude variation and a latitude variation through the position offset to obtain high-frequency satellite navigation data; the high-frequency satellite navigation data is used for calculating the position deviation, the track direction deviation and the track speed deviation, the satellite navigation data are verified through the position deviation, the track direction deviation and the track speed deviation, and the satellite navigation data can be supplemented and verified.

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

The invention relates to the technical field of geographic multi-dimensional data management, and provides a rasterized geographic information construction method based on Gaussian projection, which comprises the following steps: carrying out zoning projection processing on the earth surface, and converting a geodetic coordinate system into a rectangular plane coordinate system by adopting Gaussian-Kruger projection; further dividing the projection zone into a plurality of longitude and latitude zones, and distributing a unique identifier EarthID for each longitude and latitude zone; in each latitude and longitude zone, taking the central point as a reference, and calculating the offset Axoffset and Ayoffset of the grid in the latitude and longitude directions; the position of each grid is uniquely determined according to the EarthID, the Axoffset and the Ayoffset; grid coordinates are converted into geodetic coordinates through an inverse calculation method, and visual display of the grids on the map is achieved. According to the method, the problems of unified expression, efficient management and flexible application of the multi-scale geographic space data are effectively solved, and powerful technical support is provided for space-time big data analysis in the fields of smart cities, traffic planning, emergency command and the like.

The invention discloses a longitude and latitude coordinate optimization and efficient rendering method and system, and belongs to the technical field of geographic information systems, longitude and latitude coordinate optimization and efficient rendering are achieved based on a Douglas-Peucker algorithm, and implementation of the method comprises the following steps that original longitude and latitude data of a map area are collected, and an original data point set is generated; performing compression processing on the original data point set by adopting a Douglas-Peucker algorithm to generate a compressed data point set; during front-end rendering, loading and rendering a corresponding data point set according to the current map zooming level; when the zoom level of the map is low, rendering the compressed data point set; and when the zoom level of the map is high, rendering the original data point set. According to the method, the rendering efficiency of the data at the front end can be improved, and the original latitude and longitude coordinate data can be displayed when the map is amplified to a certain degree, so that the demand of a user on map details is met.

The invention discloses a method for constructing a regional polynomial ionosphere oblique delay model, which belongs to the field of ionosphere delay error correction of a global satellite navigation system, and comprises the following steps of: calculating a signal puncture point coordinate through a reference station latitude and longitude coordinate, and calculating a signal puncture point coordinate by taking the signal puncture point coordinate, observation time and a satellite elevation angle as joint independent variables; sTEC constructs a polynomial function model for dependent variables; the spatial-temporal dynamic characteristics and the geometric characteristics of the sight line of the satellite are synchronously incorporated into modeling, and the spatial-temporal change rule of the ionosphere region is accurately captured; by utilizing polynomial analysis characteristics, model parameters can be quickly output, a user can directly calculate the required STEC only by inputting own coordinates, time, a satellite elevation angle and a satellite azimuth angle, the process is remarkably simplified, and the real-time performance is improved. According to the invention, the defects of precision and efficiency in a complex regional scene in the prior art are overcome, and a more reliable ionosphere error correction scheme is provided for regional GNSS high-precision positioning.