100 results about "Latitude" patented technology

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

The invention relates to a measurement precision correction method for a digital geological compass. The method comprises the following steps: determining the magnetic field stability of a target position according to the difference between total magnetic field intensities in a first interval; determining a magnetic field interference coefficient at the moment according to a difference value between the total magnetic field intensity at each moment and the total magnetic field intensity at the target moment; determining the integrating degree of the point source model at the previous moment according to the difference between the magnetic field interference coefficients at each adjacent moment and the duration of the interval between each adjacent moment and the initial moment; determining a target duration according to the magnetic field interference coefficient in the second interval and the duration of the interval between each moment and the initial moment, and correcting the magnetic field data of each axis of the compass according to the target duration and the difference between the magnetic field data of each axis at the target moment and the magnetic field data of the axis in the first interval; and carrying out azimuth calibration on the compass according to the corrected magnetic field data of each axis and the longitude and latitude of the target position. The method can improve the accuracy of geological survey.

The invention provides an accumulated snow monitoring method and device, a storage medium and electronic equipment, and the method comprises the steps: triggering a snowstorm emergency response task when a target condition is detected, carrying out the projection conversion of weather forecast data, target sensor data, accumulated snow data, a meteorological satellite map and a target text which belong to the same grid at a current time point according to latitude and longitude coordinates, and obtaining a snowstorm emergency response task; the feature vectors corresponding to the grids are obtained, the feature vectors corresponding to the grids are input into the graph neural network, multi-modal feature fusion is carried out according to the spatial adjacency relation between the grids, and the current accumulated snow fusion state corresponding to the target road section in each grid is obtained. The multi-modal feature fusion is carried out according to the spatial adjacency relationship between the grids, so that the final accumulated snow state representation of each grid is fused with the influence of the surrounding environment, the noise is effectively smoothed, the data blank area is filled, and the accuracy of the current accumulated snow fusion state acquisition result corresponding to the target road section in the grid is ensured.

The invention provides an airspace gridding method and device, equipment and a medium, and the method comprises the steps: collecting an airspace boundary geographic data set, taking a horizontal plane at the lowest altitude of a to-be-gridded region as a base surface, determining an airspace boundary based on a boundary contour point geographic coordinate sequence, and carrying out the upward filling of grids based on the base surface, obtaining a gridded three-dimensional airspace and a two-dimensional projection thereof; respectively determining the maximum value point and the minimum value point of the longitude and the latitude to construct a first plane; carrying out gridding on the first plane; and if a plurality of different height values exist, determining the maximum height point, subdividing the airspace between the minimum height point and the maximum height point to obtain second space grids and codes, and screening the second space grids contained in the three-dimensional polygonal region or intersected with the three-dimensional polygonal region. According to the method and the device, the grids and codes of the height dimension between the area bottom plane grids and the boundary contour points are determined, so that the spatial domain is expanded from 2D to 3D grids, and accurate three-dimensional spatial domain gridding is closed.

This invention provides an intelligent pipeline inspection and testing system, comprising a wirelessly connected surveying instrument and a mapping terminal. The surveying instrument includes a laser ranging module, an attitude sensor module, a GPS positioning module, and a processor. The output of the laser ranging module is connected to the first input of the processor to send the measured distance signal to the processor. The output of the attitude sensor module is connected to the second input of the processor to send the measured pitch angle signal and horizontal azimuth angle signal to the processor. The output of the GPS positioning module is connected to the third input of the processor to send the longitude, latitude, and altitude coordinates of the surveying instrument's location to the processor. This invention obtains the three-dimensional coordinates of the pipeline components (longitude, latitude, and altitude) through the GPS positioning module, and combines this with the infrared ranging function of the surveying instrument to obtain the vertical distance of the pipeline from the installation ground, thus achieving clear differentiation of different levels of pipelines in a three-dimensional intersecting pipeline system.

This application discloses a method, system, and controller for predicting flight routes. The method includes dividing each segment of the flight route to be predicted into multiple sub-segments and obtaining the starting coordinates of each sub-segment; obtaining a weather forecast dataset based on the combined reflectance of various latitude and longitude grid points within a preset area; the preset area includes the area covered by the flight route; traversing each sub-segment of the flight route to be predicted according to the following method: obtaining a preset range centered on the starting point of the sub-segment; obtaining the percentage of latitude and longitude grid points within the preset range whose combined reflectance is greater than a combined reflectance threshold based on the weather forecast dataset; if the percentage is less than or equal to a first percentage threshold, the sub-segment does not need to be rerouted; if the percentage is greater than the first percentage threshold, the sub-segment needs to be rerouted. The flight route prediction method provided in this application can improve the objectivity, accuracy, and reliability of flight route prediction results.

The application provides an ice area navigation dynamic sea ice risk early warning method and system, the method first acquires the navigation information of a target ship, the first navigation radar image information of a first time point and the second navigation radar image information of a second time point, and calculates the time interval of the two time points, then respectively extracts the interested region of the sea ice echo through a mask matrix, fills the pixels of the interested region of the sea ice echo and the pixels of other regions except the interested region of the sea ice echo with different colors to obtain the binary image of the sea ice echo of the two time points, then calculates the distance, azimuth angle of each piece of sea ice and the target ship, and the latitude and longitude coordinates of the sea ice centroid of the two time points by using a specific calculation method, calculates the sea ice collision probability and the sea ice collision consequence, further calculates the sea ice collision risk index, and performs corresponding different level sea ice risk early warning on the sea ice according to the comparison result of the sea ice collision risk index and the preset risk threshold of different levels.

Disclosed is a server for expanding the spatio-temporal resolution of weather data and providing the same to a terminal, the server comprising: a reception unit for receiving weather data having a preset spatial resolution and temporal resolution from a weather model; a conversion unit for converting the received weather data into matrix data including forecast values for each longitude and latitude; an expansion unit for dividing the longitudes and latitudes of the matrix data more finely than the preset spatial resolution and interpolating the forecast values at positions of the divided longitudes and latitudes to expand the spatial resolution; and a transmission unit for transmitting the weather data with the expanded spatial resolution to the terminal.

The invention provides a troposphere minimum scattering angle calculation method based on an earth reference ellipsoid, and the method comprises the steps: constructing a troposphere scattering path geometrical relationship, and calculating a spherical distance between a transmitting antenna and a receiving antenna; calculating the prime circle curvature radius of the earth reference ellipsoid at the latitude of the transmitting antenna and the latitude of the receiving antenna, the spherical distance between the highest obstacle of the transmitting antenna and the transmitting antenna, the included angle between the connecting line of the transmitting antenna and the receiving antenna and the transmitting view plane, and the spherical distance between the highest obstacle of the receiving antenna and the receiving antenna; and the included angle between the antenna connecting line and the receiving view plane line is received, so that the minimum troposphere scattering angle is calculated. According to the method, the geometrical relationship of the troposphere scattering path is constructed through the geodetic coordinates of the transmitting antenna, the receiving antenna and the electric wave ray encountering the highest obstacle, the mathematical model for calculating the minimum scattering angle of the troposphere is provided, the troposphere scattering signal transmission requirement is better met, and accurate calculation of the minimum scattering angle of the troposphere can be achieved.

The invention provides an automatic driving path planning method and device, equipment and a storage medium, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining an environment map and at least one piece of environment information, carrying out the meshing of the environment map, and obtaining a grid environment; extracting a virtual control potential field, an obstacle interference potential field and at least one environment potential field; fusing each potential field to generate a superposition control potential field; determining a starting point grid and an end point grid in the grid environment; searching the neighborhood grid with the minimum potential field value from the starting point grid until the ending point grid is searched, and obtaining a continuous grid path from the starting point grid to the ending point grid; wherein the potential field value of the neighborhood grid is calculated based on the superposition control potential field; and converting the continuous grid path into a longitude and latitude high coordinate point set and outputting the longitude and latitude high coordinate point set. According to the method, accurate path planning is realized through multi-source environment information fusion and grid modeling, and dependence on a high-precision map and a laser radar is reduced.

The application discloses an inversion method for detecting subsurface water element by a spaceborne lidar, comprising: performing mean filtering on echo profile signals; extracting land surface data, calculating a discrete transient response function, and performing fitting; then performing transient response correction on the filtered lidar measurement signals; extracting marine neighbor data, and then sequentially calculating an integral attenuation coefficient, correcting the integral attenuation coefficient and a parallel and vertical correlation coefficient, obtaining a polarization crosstalk coefficient, and performing polarization crosstalk correction on the transient response corrected signals; sequentially calculating a total depolarization ratio of the water body and a water body backscattering coefficient; matching the spaceborne lidar and the corresponding data of the existing water body parameters according to time and latitude and longitude, then taking the total depolarization ratio, the water body backscattering coefficient and the latitude as variables, and taking the water body parameters as true values to input a deep neural network for learning, obtaining a trained deep learning network, and predicting the water body parameters. The method can quickly and accurately invert the water element.

The invention provides a method and system for mapping video frame plane coordinates and model latitude and longitude coordinates, and relates to the technical field of building coordinate mapping, and the method comprises the steps: obtaining an indoor multi-view video frame of a target building and building model data containing spatial topology and floor layout data; coordinate reference information of video key frames, building walls and channels is extracted, and a structured data set is constructed; processing the key frame to generate indoor fixed structure feature data, associating the indoor fixed structure feature data with the coordinate reference information, and generating a pixel point space constraint signal; then, key frame plane coordinates are received, and indoor local coordinate system coordinate values are obtained through spatial constraint signal inversion; and finally, converting the local coordinate values into latitude and longitude coordinate values of the digital twin model by combining a geographic coordinate reference signal of the building model, so that accurate mapping from a video frame plane coordinate to a latitude and longitude coordinate of the digital twin model of the building can be realized.

This application provides a positioning method and apparatus, storage medium, and computer program product; the method includes: obtaining the first coordinates of an object to be measured in a first coordinate system; the object to be measured is located within a positioning area defined by a set of positioning devices; converting the first coordinates into second coordinates in the second coordinate system using a mapping relationship between a first vector space and a second vector space; the first vector space is the vector space of the positioning area in the first coordinate system, and the second vector space is the vector space of the positioning area in the second coordinate system; adding the second coordinates to the first latitude and longitude coordinates of the first positioning device to obtain the position information of the object to be measured; the first positioning device is a reference positioning device in a set of positioning devices.

The application provides a kind of method, device, equipment and medium for realizing map visual range scattering point, comprising reading the point position data stored in database;With the first preset intercepting bit number, the longitude and latitude of point position data are grouped, and the read point position data is divided into longitude range group data and latitude range group data;Longitude range group data, latitude range group data and point position data are stored in memory according to the set data format;Get the map visual range transmitted from the front end, filter longitude range group data and latitude range group data according to the map visual range, obtain the point position longitude and latitude set meeting the requirements;Point position objects in point position longitude and latitude set are grouped and aggregated using clustering algorithm, and aggregation information is returned to the front end display.The advantages of the present application are: it can effectively reduce the retrieval operation time, improve the query efficiency, reduce the time of front-end map display point, and at the same time, simple map data structure can save storage space.

A kind of construction method of agricultural navigation map and application, the construction method of agricultural navigation map, with latitude and longitude as center, while superimposed crop information generates agricultural fine navigation map, for other vehicle reference travel, including the following steps: agricultural robot adopts vision navigation along crop row of crop to carry out crop row detection, image is collected and after processing obtains image center line and crop row transverse and steering error;Image center line and crop row transverse and steering error are input into MPC controller to follow crop row straight line, record the latitude and longitude coordinates of agricultural robot every time in the process of walking;And to the latitude and longitude coordinates recorded are fitted, output the satellite coordinates after processing and generate agricultural fine navigation map.The application of the agricultural navigation map is also provided.The latitude and longitude of the crop row information introduced in the application generate driving route, which greatly avoids the damage of autonomous vehicle to crops.

The invention provides a high-precision space coordinate conversion method and system based on a WGS-84 ellipsoid model, and belongs to the technical field of geographic information systems. The problems of long-distance calculation error, azimuth angle quadrant deviation and curvature compensation deficiency of a traditional method are solved. The method comprises the following steps: S1, establishing a space reference by adopting WGS-84 ellipsoid parameters, and establishing a conversion relation between a three-dimensional rectangular coordinate system and a geodetic coordinate system according to the space reference; s2, calculating a spherical distance between two points by adopting an improved Andoyer-Lambert formula, and introducing a high-order correction term to compensate a curvature error of a latitude zone; and S3, calculating an azimuth angle from the starting point to the target point through a four-quadrant arc tangent function, calculating a coordinate offset based on a curvature compensation model, and obtaining the coordinates of the target point according to the coordinate offset. The method is mainly used in the field of three-dimensional geography visualization.

The invention discloses a map grid generation system and a generation method, which can be matched with a terminal or a data structure with a longitude and latitude positioning function for use, continuously track and collect longitude and latitude according to a timed task of a program, and uniformly return the collected whole data to a background server after the function is stopped. The server compares the acquired longitude and latitude data with the layer information of the current map, extracts the acquired obstacle boundary information near the longitude and latitude array, compares and analyzes the longitude and latitude information of the obstacle boundary with the acquired longitude and latitude data, and obtains a final grid after correction. And correcting the longitude and latitude data to automatically generate a map grid, and automatically correcting the map grid based on the distance between the grid and the obstacle boundary.

According to the positioning precision optimization method and device, the storage medium and the computer equipment provided by the invention, the multi-dimensional data is input into the pre-trained neural network model to obtain the positioning error compensation value by obtaining the overhead reflecting surface features of the current environment, the satellite observation data and the external correction parameters, and then the original positioning result is corrected. According to the method, features of an overhead reflecting surface are innovatively introduced, and comprehensive consideration of environmental spatial features and multiple error sources is realized in combination with satellite observation data and external correction parameters; after the neural network model is trained in advance, error compensation values in the longitude and latitude directions can be accurately output, the positioning precision in a complex environment is effectively improved, and the method is suitable for scenes with high positioning precision requirements such as automatic driving and unmanned aerial vehicle operation, and has a wide application prospect.

The blind path positioning method and device based on high-precision GNSS positioning and MAP message of the application relate to the technical field of guide dog devices. The method comprises: acquiring a first position of a first user based on high-precision GNSS positioning, including latitude and longitude coordinates; receiving and decoding a V2X map MAP message broadcast by a roadside device to acquire data items of all first roads within a preset distance of the first position; traversing latitude and longitude coordinates of each adjacent two points of all first road point sequence data items of the first roads; converting the latitude and longitude coordinates into rectangular coordinate system coordinates; calculating the perpendicular distance between the first position and all the first roads and determining the shortest perpendicular distance; and generating a guide planning path of the first road corresponding to the shortest perpendicular distance from the first position. The application is based on high-precision GNSS positioning and MAP message, locates the position of the blind path closest to the blind person, plans the most convenient and safe guide path, and realizes efficient and safe travel of the blind person.

The invention discloses a panoramic application system and implementation method based on low-altitude VR, and the method specifically comprises the steps: collecting a panoramic image and real-time data of a target region, and obtaining the geographic latitude and longitude coordinates of a target position; respectively converting the geographic longitude and latitude into radians; calculating an azimuth angle azimmuth based on the longitude radian; calculating a pitch angle pitch based on the latitude radian; and mapping the azimuth angle azimth and the pitch to a spherical coordinate of a VR panorama, so as to display command elements and scheduling resources on the VR panorama. All components of data collection, instruction control and the like are integrated to form a complete low-altitude VR panoramic application system.

An optical planetarium includes a projector configured to project images of stars; a diurnal-axis support mechanism configured to allow the projector to rotate about a diurnal axis; a latitude-axis support mechanism configured to allow the projector to rotate about a latitude axis that is orthogonal to the diurnal axis; an azimuth-axis support mechanism configured to allow the projector to rotate about an azimuth axis that is set vertically; and a latitude-axis inclination angle changing mechanism configured to allow an angle between the latitude axis and a horizontal plane to be changed within a predetermined range.

A system is provided.SOLUTION: A system comprising means for collecting position information (latitude, longitude, and altitude) every hour from a plurality of base stations installed all over the country, means for comparing the collected position information with previous position information and calculating horizontal and vertical displacement of the ground, means for inputting the calculated displacement data of the ground to a generative AI model and analyzing correlation with past earthquake data to predict an earthquake, means for notifying a self-governing body or a weather forecast service provider of a prediction result, and means for storing the prediction result in a database and archiving it in an analyzable form later.SELECTED DRAWING: Figure 1

This application relates to the field of computer vision technology, and in particular to a method and apparatus for multi-point geolocation of ground panoramic images. The method includes: acquiring panoramic images of multiple points within the same area and selecting a candidate remote sensing image database; performing cylindrical and cubic projections on all panoramic images; extracting cylindrical and cubic projection features respectively, and extracting all remote sensing image features; constructing a hypermap based on the cylindrical and cubic projection features; classifying and predicting the relative positions of the multiple panoramic images based on the hypermap; measuring distance based on the predicted relative positions, and combining the features of all remote sensing images to obtain the latitude, longitude, and altitude information of the best-matching remote sensing image. The embodiments of this application can achieve relative position prediction based on the block feature extraction of multi-point panoramic images and remote sensing images, thereby calculating distance metrics, matching the best remote sensing image to obtain the positioning result, improving the accuracy and robustness of the positioning result, and making it more accurate and practical.

This invention provides a method, apparatus, electronic device, and storage medium for regional ionospheric modeling, belonging to the field of satellite navigation and positioning technology. The method includes: acquiring the coordinates of multiple reference stations in a region; matching the coordinates with a preset threshold to obtain the coordinates of a reference point; obtaining the longitude and latitude differences between the regional reference stations and the reference point based on the coordinates of the multiple reference stations and the reference point; acquiring the coordinates of a target satellite; obtaining the difference in elevation angles observed by the multiple reference stations and the reference point of the target satellite based on the coordinates of the target satellite and the coordinates of the multiple reference stations in the region; constructing a coefficient matrix based on the elevation angle differences, the longitude and latitude differences between the regional reference stations and the reference point; and constructing a regional ionospheric model based on the coefficient matrix and the acquired regional ionospheric model coefficients. Because this invention considers the influence of both horizontal gradient and vertical delay during the modeling process, it significantly improves the model fitting accuracy.

The invention relates to an atmospheric environment thematic map drawing method and device, and relates to the technical field of image drawing, and the method comprises the steps: obtaining model output data of a target numerical model; a first thematic map frame is determined on a geographic base map based on the latitude and longitude coordinates corresponding to first positioning grid points, and the first positioning grid points are grid points used for positioning the first area range in the multiple grid points; and drawing in the first thematic map frame based on the latitude and longitude coordinates corresponding to each grid point in the first area and the simulation result to obtain a first atmospheric environment thematic map. In this way, even if the area range configured by the numerical model changes, a new thematic map frame can be automatically determined according to the new area range, compared with a manual cutting mode, the efficiency is high, the method is more flexible, the automatic process from model processing to area cutting to final thematic map drawing is achieved, human errors are avoided, and the efficiency is improved. And the accuracy of thematic map drawing is improved.

The present application relates to a kind of radar sea surface target measurement error correction method and system based on AIS.The method comprises: obtaining radar sea surface measurement target and the AIS target corresponding thereto;Error coefficient is determined using least square method according to the above-mentioned target;The distance error of radar sea surface measurement target is estimated according to error coefficient;According to distance error, the corresponding rectangular coordinate system is established;According to the bearing of radar sea surface measurement target and the corresponding rectangular coordinate system, the acute angle obtained by the intersection of the straight line of the position point of the target after correction and the position point of radar sea surface measurement target and the longitude line where radar sea surface measurement target is located is estimated;The latitude and longitude error of radar sea surface measurement target is estimated according to distance error;The position of radar sea surface measurement target is corrected according to the bearing of radar sea surface measurement target and latitude and longitude error.Using the above method can solve the problem of measurement error when radar detects sea surface target, improve the identification accuracy of radar officer to sea surface target.

This application relates to the field of geographic information data processing technology, and discloses a method, system, and medium for segmented storage and rapid line-of-sight analysis of oblique photogrammetry models. The method includes: extracting the three-dimensional coordinates of sampling points from oblique photogrammetry model tile files; calculating the spatial grid index of each sampling point based on latitude and longitude, and storing sampling point data belonging to the same index as a segment in a time-series database; obtaining the coordinates of the observation point and the target point and calculating the line segment connecting them, obtaining multiple interpolation points through linear interpolation of the line segment; calculating the spatial grid index of each interpolation point, locating the corresponding data segment in the time-series database, and quickly obtaining the surface elevation of that point; and determining whether the two points are line-of-sight by comparing the elevations of all interpolation points with the corresponding surface elevations. The system and medium correspond to this method. This application achieves efficient management and rapid line-of-sight analysis of oblique photogrammetry models through data reorganization and index optimization.

The invention relates to a method and a system for realizing offset correction through automatic matching of a power transmission tower. The method comprises the following steps: acquiring a machine account file of a power transmission line design tower and a remote sensing image of a power transmission line; detecting a point location of an actual tower in the remote sensing image; by adopting a nearest neighbor method, generating a plurality of initial candidate matching point pairs for each design tower point pair according to the latitude and longitude coordinates; according to a direction consistency constraint and a distance constraint, determining a unique candidate matching point pair in the initial candidate matching point pairs; according to the angle consistency of the design line vector and the actual line vector, determining a unique matching point location of the point location of the design tower according to the distance from the current design tower point location to the candidate line; carrying out point location re-matching according to a nearest neighbor matching method; and calculating the confidence coefficient of a re-matching result and the tower offset Euclidean distance. According to the method and the device, the tower with the offset distance larger than 50 meters can be corrected without depending on manpower.

The present specification relates to the field of oil and gas field exploration and development, and relates to a position coding determination method and a geological feature prediction method based on a well logging evaluation large model, the method comprising: identifying a to-be-coded geographical region according to a preset spatial classification rule, and determining a spatial range type to which the to-be-coded geographical region belongs; if the spatial range type is a first spatial range, determining a longitude weight coefficient and a latitude weight coefficient in the first spatial range according to the maximum longitude and latitude and the minimum longitude and latitude in the first spatial range, wherein the first spatial range is a defined spatial range; and calculating the position coding of each point in the first spatial range according to the longitude weight coefficient and the latitude weight coefficient. The present scheme comprehensively considers the elements of geological statistics, and position codes the position information of space, so that the large model based on the oil and gas industry can better consider the spatial correlation of geological information during pre-training, and effectively improve the precision of the oil and gas large model.

The invention relates to a carbon monitoring satellite ocean flare tracking observation method. The method comprises the following steps: calculating a position vector Rsg of a sea surface solar reflection point under an inertial coordinate system; calculating a solar vector, and obtaining a satellite position vector through a linearized J2 perturbation model; defining a function f (betax) between an included angle beta between a sea surface solar reflection point position vector and a sun vector, an included angle between a sea surface solar reflection point position ellipsoid normal vector and a vector pointing to the satellite from the sea surface solar reflection point, and an included angle between the sea surface solar reflection point position ellipsoid normal vector and a vector pointing to the sun from the sea surface solar reflection point; solving a zero point of the function f (betax) by using a bisection method to determine an included angle beta; calculating a sea surface solar reflection point position vector Rsg by using the included angle beta; and converting the position vector Rsg of the sea surface solar reflection point into an earth fixed connection coordinate system, and calculating the longitude and latitude positions of the sea surface solar reflection point on the earth surface. The solar flare observation method is high in calculation precision and meets the satellite observation requirement.