153 results about "Latitude" patented technology

A drifting buoy trajectory prediction method based on a hybrid neural network prediction model, includes: S1, obtaining marine environmental data and historical trajectory data of a drifting buoy; S2, performing preprocessing on the marine environmental data and the historical trajectory data to obtain input data configured to predict northward and an eastward velocities of the drifting buoy; S3, inputting the input data into the hybrid neural network prediction model to obtain predicted values of the northward and eastward velocities; S4, calculating latitude and longitude coordinates of a trajectory point of the drifting buoy based on the predicted values of the eastward and northward velocities; and S5, predicting, by repeating the step S1-S4, latitude and longitude coordinates of trajectory points of the drifting buoy at multiple time points to obtain a sequence of trajectory point coordinates to thereby achieve trajectory prediction of the drifting buoy over a target future period.

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 belongs to the field of global navigation satellite system (GNSS) data processing, and particularly relates to a real-time cycle slip detection method based on ionosphere variation trend constraint, which comprises the following steps of: firstly, fitting an ionosphere variation trend by using all observation satellite data at the current moment, and selecting a non-geometric combination observation value according to a sliding window; then ionosphere variation trend constraint is applied on the basis of a polynomial function, geomagnetic latitude is used as an independent variable to fit a polynomial coefficient, the ionosphere variation of each satellite observed value at the current moment is forecasted, and then the ionosphere variation and the non-geometric combination are differentiated to obtain ambiguity variation; and finally, a detection threshold is determined through the adaptive expansion factor changing along with latitude, and the ambiguity variation is detected to judge whether cycle slip occurs or not. The method is convenient to calculate, fully considers the change trend of the ionosphere, is suitable for real-time cycle slip detection application, and is more suitable for cycle slip detection application in the ionosphere disturbance period.

The invention provides an ocean data assimilation observation strategy optimization method based on deep learning interpretability, and relates to the field of data processing, and the method comprises the steps: generating a sea-land mask through the geographic sea-land distribution and observation point validity based on pattern grid points; constructing a three-channel input tensor; constructing a network architecture to process input of different sizes in a self-adaptive pooling manner; carrying out model training by adopting a composite loss function; generating a space-time saliency map based on Grad-CAM, fusing multi-time step features through a dynamic aggregation algorithm, and identifying a key dynamic region in combination with ocean gradient and curvature features; in the key power area, K-means clustering is combined with minimum distance constraint, and high-contribution observation points are preferentially selected from all clusters; and outputting longitude and latitude coordinates and contribution value sequences of the plurality of previous optimal observation points. According to the technical scheme, the problems of low observation resource use efficiency and low forecast initial field quality in the prior art are solved.

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 discloses a cultivated land soil pH estimation method based on multi-source remote sensing and spatial weighting, which comprehensively utilizes multi-source remote sensing environment information such as optics, radar, terrain, weather and the like, constructs multi-source remote sensing environment factor data, and improves response sensitivity to cultivated land soil pH change. A space weighting mechanism is introduced based on latitude and longitude coordinates of each sampling point, so that the adaptability of the model to cultivated land space heterogeneity is enhanced; the weighted random forest model constructed by taking the enhanced feature matrix as the input of the random forest model improves the spatial continuity and prediction precision of the cultivated land soil pH estimation result; the method disclosed by the invention has good universality and expandability, and is suitable for rapidly estimating the pH of the cultivated land soil in multiple regions and multiple scales.

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.

The invention provides a precise point positioning method, system, equipment and medium in an ocean scene, and belongs to the field of satellite navigation positioning, and the method comprises the steps: obtaining IGS-ZTD data and GGOS-ZTD data of different observation stations on the land, obtaining time sequence daily average deviation value data through calculation, inputting the data into a fitting model, carrying out the spherical harmonic expansion after fitting, and carrying out the precise point positioning. And obtaining a spherical harmonic function deviation model of the land area. Acquiring longitude and latitude of the ocean observation station, performing fitting calculation by using a spherical harmonic function deviation model, and introducing a dynamic order screening mechanism of a monthly scale to obtain a correction deviation value of the ocean observation station in the current month; and fitting ZTD data is obtained according to the correction deviation value. The regional limitation of a GNSS observation station is broken through, and the positioning precision of GGOS-ZTD data in an ocean region is improved by constructing a collaborative correction framework. And applying the fitted ZTD data to precise single-point positioning of an ocean scene to realize high-precision positioning of the measuring points in the ocean area.

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.

The embodiment of the application discloses a three-dimensional temperature and salinity field inversion method and system based on marine temperature and salinity profile. The method comprises the following steps: obtaining an observation profile file corresponding to an observation point, and extracting key information, the key information comprising longitude, latitude, time and temperature and salinity profile, the temperature and salinity profile comprising temperature profile and salinity profile; loading a pre-trained intelligent reconstruction model; when the observation point is located in a preset modeling area range, searching for a plurality of loaded intelligent reconstruction models closest to the observation point in the modeling area range to obtain an intelligent reconstruction model of a triangular net vertex; calculating data of a marine three-dimensional temperature and salinity field according to the intelligent reconstruction model of the triangular net vertex to obtain three-dimensional body data; calculating a marine three-dimensional temperature and salinity field centered on the observation profile by using an interpolation method combined with the three-dimensional body data; and saving three-dimensional temperature and salinity field data of a target point. By implementing the method of the embodiment of the application, three-dimensional temperature and salinity field reconstruction based on one-dimensional profile data can be realized.

The invention discloses a GIS (Geographic Information System)-based position flow anomaly detection method, equipment and a medium. The method comprises the following steps: after receiving position stream data, gridding the position stream data based on a quadtree grid, and converting latitude and longitude coordinates into decimal numbers; detecting the regional position of the position stream data in the quadtree grid according to the decimal number; in combination with the time window queue, residence time anomaly detection and trajectory deviation anomaly detection are carried out respectively; and finally, sending an abnormal detection result to an early warning center. According to the method, the GeoSOT grid coding technology is adopted, the traditional complex space geometric operation is simplified into numerical value comparison, and the dynamic sliding time window is combined to carry out lightweight processing on the grid trajectory data, so that the calculation amount is greatly reduced, the problem of insufficient real-time performance of the traditional method is effectively solved, and the quick response detection of the position flow anomaly is realized.

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.

This invention discloses a method for interpolating the topographic elevation of mountain rivers based on sparse river cross-section elevation data. The method includes the following steps: Step 1, acquiring basic data of the target river and preprocessing it; Step 2, determining the direction of different cross-section lines; Step 3, creating new cross-section lines and calculating their length and latitude / longitude coordinates; Step 4, dividing the new cross-section lines to obtain cross-section points and resampling them; Step 5, obtaining the elevation data of each cross-section point on the new cross-section line; Step 6, obtaining the elevation data of the target river area. The method for interpolating the topographic elevation of mountain rivers based on sparse river cross-section elevation data described in this invention can fully utilize existing elevation data, more accurately express the local topographic features of mountainous areas, achieve high-precision topographic elevation interpolation of mountain rivers, and provide a scientific basis for flood inundation analysis.

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.

The invention provides a parcel thermodynamic diagram generation and risk prompting system and method, and the system comprises an order information library which is used for recording order information, marking a high-risk address, and forming a high-risk label; the order information at least comprises a user address; the coordinate library is used for converting the user address into latitude and longitude coordinates through geocoding; the thermodynamic diagram module is used for combining the order information with latitude and longitude coordinates and carrying out visual grid thermodynamic diagram presentation on a map; and the risk prompting module is used for screening out coordinates with high-risk labels, counting grids of the coordinates, combining adjacent grids to form a high-risk fence, and dynamically displaying the high-risk fence on the grid thermodynamic diagram.

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 relates to the technical field of big data processing, and discloses a data grid point rarefaction method and device, computer equipment and a storage medium, and the method comprises the steps: determining the longitude and latitude range and the grid point density of a target research region, and generating a plurality of grid point regions based on the longitude and latitude range and the grid point density; determining a plurality of lattice point positions in the specified lattice point area, and selecting lattice points meeting a preset condition from the plurality of lattice point positions as representative sites; according to the method, a representative site group significantly related to a representative site is screened out based on the correlation between the representative site and other sites except the representative site in a specified grid point region, and a representative result of the specified grid point region is obtained based on data of all representative sites in the representative site group. And calculation is carried out through the screened representative station group, so that the overall characteristics of regional meteorological elements can be accurately reflected while the data processing amount is reduced and the calculation efficiency is improved.

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.

To provide an information processing device capable of suitably grasping the degree of submergence or the like in the case that the submergence or the like occurs in a road.SOLUTION: A system controller 20 of a navigation device 1 detects a representative boundary position Pr between a water surface area Aw submerged on a road and a road area Ar on the road other than the water surface area Aw on the basis of a camera image Ic outputted by a camera 2. Then, the system controller 20 calculates water depth Dwc by referring to altitude information included in road shape data of map data 32 on the basis of a latitude and a longitude of the representative boundary position Pr.SELECTED DRAWING: Figure 3

The present invention discloses a remote sensing image cloud type inversion model and system based on symmetric cross-attention. The steps are as follows: obtain satellite remote sensing image data, extract cloud spectrum, texture and shape features after processing; perform feature encoding on longitude and latitude coordinates, terrain, underlying surface, and time elements; construct a symmetric cross-attention module to bidirectionally fuse images and geographic features, using time features as channel input; use CloudSat cloud products as true values, adopt the Adam optimizer and cross-entropy loss function to train the model, and verify it through indicators such as Kappa coefficient and producer accuracy. This method overcomes the shortcomings of traditional methods that rely only on two-dimensional images and do not take into account external driving factors. It can accurately classify cloud types and improve inversion accuracy and efficiency.

The invention discloses a submarine cable three-dimensional route detection system and method based on underwater intelligent aeromagnetism, and belongs to the technical field of crossing of ocean engineering detection and underwater robot control. According to the system, geomagnetic interference is reduced through a non-metal watertight compartment and double triaxial orthogonal coupling air core coils, the detection efficiency is synchronously improved by combining real-time data acquisition and control, three-dimensional routing and burial depth accurate measurement of submarine cables is realized through multi-dimensional data fusion, and through mechanical structure design, a high-frequency closed-loop control algorithm and a multi-source data fusion technology, the reliability of the system is improved. High-precision synchronous measurement of latitude and longitude coordinates and burial depth parameters of the submarine cable is achieved, the measurement precision reaches the centimeter level, and complete three-dimensional space information support is provided for risk assessment, fault location and intelligent operation and maintenance of the submarine cable.

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.