176 results about "Longitude" patented technology

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 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.

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 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 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 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.

The invention discloses a power transmission tower automatic identification and geographic positioning method and system based on satellite remote sensing and deep learning, and electronic equipment. The method comprises the following steps: S1, collecting a satellite remote sensing image containing a power transmission tower, and establishing a sample data set; s2, training a deep learning target detection model based on the sample data set; s3, automatically acquiring a satellite base map of the target area; s4, performing batch reasoning recognition on the satellite base map by using the trained deep learning target detection model, and performing duplicate removal on a recognition result by using a non-maximum suppression algorithm; s5, converting the pixel coordinates of the power transmission tower identified after de-weighting in the image into geographic latitude and longitude coordinates; and S6, mapping the geographic latitude and longitude coordinates to a base map of a public map for visualization. According to the invention, rapid, accurate and automatic identification and positioning of the power transmission tower are realized, and the problems of low efficiency of traditional manual inspection, difficult checking of power grid assets, lack of visual map bases and the like are solved.

The invention provides a method for obtaining a three-dimensional body through two-dimensional seismic reflection data gridding, and belongs to the field of seismic data processing. Through a technical means of constructing a virtual grid through rotation, a two-dimensional measuring line is converted into a three-dimensional data body which is uniformly distributed in space, and subsequent data processing is not limited to one direction any more. Specifically, latitude and longitude coordinates of each discrete reflection data are obtained and converted into UTM projection rectangular coordinate values, and coordinate values of a longitude minimum point are determined; calculating the optimal azimuth angle of the grid according to the plane distribution characteristics of the discrete points, and determining the grid spacing along the azimuth angle direction and the vertical azimuth angle direction; the grid is rotated to the three-dimensional grid direction, the coordinates of the point with the minimum longitude value after rotation are extended outwards by a half grid interval, and the coordinates of the point serve as base points of the grid; all the coordinate points are rotated in the same way, data falling into the same grid are superposed, then the coordinate number of each point in the grid is calculated, and a three-dimensional data volume is obtained accordingly.

This disclosure provides a method and apparatus for estimating the latitude and longitude of a base station. The method includes acquiring measurement and statistical MR data of multiple cells covered by the base station to be estimated. The MR data includes at least one of the following: the identifier of the base station to be estimated, the received reference signal strength (RSRP), and the timing advance (TA). The MR data is preprocessed to obtain a set of MR sample points for the base station to be estimated. Based on RSRP or TA, a distance calculation model and an objective function are established. The distance calculation model is used to calculate the distance between the multiple MR sample points and the base station to be estimated. Based on the distance calculation model and the objective function, a gradient descent algorithm is used to determine the longitude and latitude of the base station to be estimated. This method reduces the amount of data required for solving the problem by preprocessing the MR data to obtain the set of MR sample points. The gradient descent algorithm is used to iteratively solve the objective function to obtain the longitude and latitude of the base station to be estimated, improving the speed of calculating the latitude and longitude of the base station and the accuracy of the measurement results.

The invention provides an optical cable fault intelligent analysis and positioning method based on big data and AI, and the method comprises the steps: extracting a spatial density feature value from a latitude and longitude coordinate set, judging the coordinate as a high-density region coordinate if the spatial density feature value exceeds a preset threshold value, and obtaining a preliminary spatial distribution point set; performing grouping processing on the preliminary spatial distribution point set by adopting a clustering algorithm, fusing Euclidean distance measurement in the longitude and latitude coordinate set, determining a cluster of fault points, and obtaining a distribution mode cluster group; and performing prediction processing on a time sequence of the high-incidence area identification set through a time sequence analysis algorithm, fusing trend data of the time evolution sequence segment, determining a prediction value of a future evolution rule, and obtaining a prediction rule value set.

The invention discloses a neutral atmosphere refractive index calculation method and system suitable for different heights, and belongs to the technical field of communication and navigation. During modeling, monthly average reanalysis data is used as input to calculate the three-dimensional refractive index field of the neutral atmosphere, and horizontal, vertical and time domain change characteristics of the refractive index are represented by adopting a regular grid, a third-order index and a trigonometric function; when in use, the refractive index of any target point at any time within a global near-surface space range of 85 km can be calculated through space-time interpolation and elevation normalization only by giving the longitude, latitude, geodetic height and simplified Julian day of the target point. According to the method, the empirical modeling of the global neutral atmosphere refractive index field is realized by utilizing reanalysis data for the first time, the refractive index calculation precision at different height positions is improved through third-order index elevation normalization, and the method has important application value in the communication and navigation fields such as electromagnetic wave signal propagation path simulation and neutral atmosphere delay calculation correction.

The application provides a positioning method and device for a long-distance target and electronic equipment, and belongs to the technical field of target identification and positioning. In the positioning method, a sparse point cloud that cannot be identified at a long distance is utilized, the sparse point cloud is screened, a screened sparse point cloud is obtained, the longitude and latitude coordinates of the screened sparse point cloud and the real-world longitude and latitude coordinates of a to-be-determined region are determined, target sparse point clouds belonging to the to-be-determined region in the screened sparse point cloud are determined, the target sparse point clouds are part of the point cloud of the long-distance target, the longitude and latitude coordinates of the frontmost point cloud in the target sparse point cloud are taken as the outer contour position of the long-distance target, and the outer contour of the long-distance target can be accurately positioned.

This application discloses a one-dimensional variational inversion method and apparatus for GNSS occultation data. The method includes background field preparation: interpolating temperature, air pressure, and water vapor pressure from the grid field to the latitude and longitude of the occultation data; simultaneously, interpolating the liquid water content and ice water content in the clouds to the latitude and longitude of the occultation data to obtain the background field profile required for inversion; and inputting observation data and background field: inputting the occultation data, background field profile, observation error covariance matrix, and background field error covariance matrix into the one-dimensional variational inversion system. By adding liquid water content and ice water content terms to the observation operator, the deviation between the observation data and the background field data is calculated, and the distribution characteristics of the deviation are statistically analyzed. After adding liquid water and ice water, the average refractive index deviation between the two types of data is significantly reduced.

This invention discloses an automatic attitude correction method, device, and optical terminal intensity meter for equipment. The automatic attitude correction method is applied to a pre-set monitoring terminal including a triaxial MEMS accelerometer and a magnetometer, and includes the following steps: acquiring acceleration and magnetometer data; calculating acceleration-stabilized triaxial offset; calculating roll and pitch angles and determining the horizontal plane; locating magnetic north and calculating the magnetic north azimuth; calculating magnetic declination and yaw angle using latitude and longitude; generating a rotation matrix and performing coordinate system transformation; judging angle changes and updating the matrix; and completing calibration and attitude stabilization. The technical solution provided by this invention ensures that the monitoring terminal equipment can automatically and accurately adjust and maintain its attitude after installation, thereby guaranteeing the effective operation of the earthquake monitoring and early warning system and improving earthquake disaster prevention and seismic monitoring capabilities.

The present disclosure provides a training method of a geological unit classification model. The training method of the geological unit classification model comprises: selecting a target area according to a lunar topographic map framing rule, and determining image data of the target area; generating pixel grid vector data based on the image data, and calculating the longitude and latitude coordinates of the center position of each pixel grid based on the pixel grid vector data to obtain data point vector data; performing spatial superposition operation based on the data point vector data to determine at least one data feature; determining sample input data of a to-be-trained geological unit classification model based on the at least one data feature; and training the to-be-trained geological unit classification model by using a machine learning algorithm according to the sample input data. The present disclosure also provides a geological unit classification method, device, equipment and storage medium.

An electronic watch can be configured to have a function for space exploration and / or terrestrial planet surface exploration. The watch can include a time display device and a processor subsystem. The processor subsystem can be configured to maintain a coordinated planet time of a terrestrial planet, obtain longitude data representing a longitude of interest on the terrestrial planet, the longitude of interest being different from the prime meridian of the planet, determine a local true solar time, LTST, at the longitude of interest as a function of the coordinated planet time, and control the time display device of the electronic watch to display the LTST using a time equation that takes into account an orbital eccentricity and an axial tilt of the terrestrial planet.

The application discloses a tunnel terminal positioning method and system, a storage medium and a positioning device. The method comprises the following steps: acquiring a measurement report reported by a mobile terminal in a tunnel line and transmission parameters and a first latitude and longitude coordinate of each base station covering the tunnel line; for each base station, determining a latitude and longitude coordinate range of the mobile terminal in the coverage range of the base station according to the transmission parameters of the base station, the first latitude and longitude coordinate of the base station and the measurement report reported by the mobile terminal; and determining a target latitude and longitude coordinate of the mobile terminal according to the latitude and longitude coordinate range of the mobile terminal in the coverage range of each base station. The application solves the technical problems that it is difficult to implement and the measurement result is poor when a related technology is used to position the mobile terminal in a high-closeness tunnel.

The invention discloses a crustal stress direction measurement system based on longitude and latitude strain lines, and belongs to the technical field of crustal stress measurement. Comprising a two-dimensional orthogonal strain acquisition array module; the time sequence synchronous control module is used for controlling each group of strain sensors to perform synchronous sampling based on a unified time reference; an interference adaptive filtering module; a crustal stress tensor solving module; a structure adaptive compensation module; a dynamic weighted fusion module; a risk trend deduction module; the edge calculation module is connected with the remote communication module. According to the system, the fiber bragg grating sensing array in which the longitude and the latitude are orthogonally arranged is adopted, a symmetrical strain tensor is constructed, eigenvalue decomposition is carried out, so that a principal stress direction angle and a principal strain value are obtained, and compared with a single-point strain gauge or a traditional trepanning method, continuous principal direction distribution reconstruction can be realized in a larger range, and the precision of the system is improved. The method has higher spatial resolution and tensor integrity.

This invention relates to a method for adjusting the power-on / off state of a BeiDou short message system mounted on a satellite, comprising: acquiring a first state of the BeiDou short message system for the current calculation cycle; responding to the first state being that autonomous adjustment of the power-on / off state is not allowed, not adjusting the power-on / off state for the current calculation cycle; responding to the first state being that autonomous adjustment of the power-on / off state is allowed, then performing the following: acquiring the power-on / off state and the duration of the power-on / off state for the current calculation cycle; calculating the latitude and longitude of the satellite's nadir point for the current calculation cycle; and determining whether to adjust the power-on / off state for the current calculation cycle based on the power-on / off state for the current calculation cycle, the duration of the power-on / off state, the latitude and longitude of the satellite's nadir point, the theoretical power-on time of the current orbit of the satellite, the maximum / minimum power-on time threshold, and the minimum time interval threshold between two power-on intervals. This invention can improve the reliability of the BeiDou short message system and extend its service life.

The invention discloses a weather forecasting method and device for a target area, a storage medium and an electronic device, and relates to the field of computers, and the weather forecasting method for the target area comprises the steps: integrating a plurality of weather elements at different spatial positions in the target area, and obtaining a first weather element matrix, the plurality of meteorological elements comprise a plurality of categories, and the first meteorological element matrix is a three-dimensional feature matrix; the first meteorological element matrix is segmented from a first longitude and latitude coordinate in the longitude and latitude dimension, multiple first meteorological element blocks are obtained, the multiple first meteorological element blocks are the same in size, and the height of the multiple first meteorological element blocks and the height of the first meteorological element matrix are first heights; and processing the plurality of first meteorological element blocks through a meteorological forecast model to obtain a meteorological forecast result of the target area.

The application discloses a kind of method and device of adjacent line determination, to improve the efficiency of adjacent line determination.The method comprises: obtaining the information of target line, the information of target line includes the origin of target line and the destination of target line;According to feature matrix, weight matrix and target line, determine the adjacent line corresponding to target line, wherein, feature matrix is related to the great circle distance of destination matrix, origin matrix and multiple reference lines respectively, weight matrix is related to the transport price of destination matrix, origin matrix and multiple reference lines respectively, destination matrix includes the longitude and latitude of the destination of multiple reference lines, origin matrix includes the longitude and latitude of the origin of multiple reference lines, the destination of adjacent line is the same as the destination of target line.

The application provides a vector data dynamic visualization method and system, the method comprises the following steps: according to a map slice request, obtaining a map service name, a geographical vector data type in a map, and ZXY indexes of a sliced map slice; if a cache is used, when it is found that the corresponding map slice exists in the cache, performing format conversion and picture compression on the map slice; otherwise, converting the ZXY indexes of the map slice into a pixel coordinate system, then calculating longitude and latitude coordinates through the pixel coordinates to obtain a longitude and latitude range of the map slice; generating an MVT vector tile according to the longitude and latitude range of the map slice; and dynamically rendering and displaying the MVT vector tile on a client browser or a server, so that the map content can be quickly loaded and displayed, front-end rendering and back-end rendering of the vector tile are supported, the 2000 national geodetic coordinate system is supported, and the convenience of geographical vector data configuration and query is improved.

The invention provides a marine ship trajectory association method, device and equipment and a medium, and the method comprises the steps: employing OpenCV to extract a marine ship image, carrying out the preprocessing, and employing edge detection and contour processing, thereby obtaining the size features of a marine ship; extracting the contour gravity center position of the marine ship based on a six-parameter affine transformation matrix of GDAL, and extracting longitude and latitude coordinates of a target; obtaining the multi-modal features of the marine ship, carrying out the weighted fusion of the multi-modal features, and taking N targets with the highest probability as a candidate set; based on the dynamic behavior characteristics, obtaining the course and speed of the marine ship and then calculating a predicted target position; and matching the longitude and latitude coordinates of the target in the candidate set with the predicted target position, selecting the predicted position with the minimum distance as an association point through Euclidean distance calculation, generating a continuous track and forming target situation information. According to the technical scheme, the target recognition precision can be improved, and the continuous target situation can be formed.

A system is provided for transmitting accurate geospatial position and time using radio transmission without the use of satellite signals. The positioning and timing system uses uncorrelated standard radio broadcast signals. These radio broadcast signals are transmitted from known locations defined by latitude and longitude at assigned frequencies, respectively, and transmit modulated or unmodulated carrier signals, respectively. A reference unit at a known fixed location receives the nearby standard broadcast signal, samples the frequency and content values ​​of the signal, broadcasts the measured frequency and content data approximately simultaneously with a time mark representing the measurement time, and further broadcasts its location in latitude and longitude. A mobile unit at an unknown location to be desired receives the nearby standard broadcast signal, measures the arrival time of the broadcast, and records the time of the measurement.

The application provides a satellite instantaneous ground action coverage range acquisition method and system, and relates to the technical field of satellite application. The application firstly acquires the geodetic coordinates of a satellite and the corresponding geocentric angle of the satellite instantaneous ground action coverage range; then determines the latitude interval of the satellite instantaneous ground action coverage range based on the geodetic coordinates and the geocentric angle, and calculates the longitude difference between all boundary points on the boundary of the latitude interval of the coverage range and the current satellite foot point; finally, the geodetic coordinates of each boundary point on the boundary of the satellite instantaneous ground action coverage range are acquired by traversing the latitude interval of the satellite instantaneous ground action coverage range and combining the longitude difference, and the satellite instantaneous ground action coverage range is determined based on the geodetic coordinates of all boundary points. The whole core calculation process of the application is completed in a two-dimensional geodetic coordinate plane, the complex intersection operation in a three-dimensional space is avoided, the engineering implementation steps are simple, and the execution efficiency is higher.

The present application relates to the technical field of altazimuth telescope, in particular to a pointing model calibration method of altazimuth telescope, the error function of the telescope is obtained by two-dimensional surface fitting, the star image is shot every 10 degrees or so in the azimuth and elevation directions, the right ascension and declination of the image center are obtained by comparing with the standard star map, the right ascension and declination are converted into the real azimuth and real elevation in the geodetic horizontal coordinate according to the shooting time, the geographical longitude and latitude of the telescope, the altitude, the air temperature and air pressure; the real azimuth and real elevation are subtracted by the azimuth and elevation read by the angle sensor of the telescope respectively, the azimuth error matrix and the elevation error matrix are obtained respectively; the error matrix is fitted to obtain the azimuth error function, the real azimuth and real elevation of any target are subtracted by the azimuth pointing error and the elevation pointing error respectively, and the accurate pointing of the telescope can be obtained.

The application provides a real-time fusion positioning method, device, equipment, medium and program product of a direction-finding station and a positioning system, which comprises the following steps: receiving direction-finding station and positioning system deployment information and positioning and direction-finding data, and obtaining corresponding coordinates through coordinate conversion; calculating the coordinates of the positioning ellipse center on the direction-finding line and the corresponding lateral error of the direction-finding line; converting the coordinates of the positioning ellipse to the coordinate system corresponding to the direction-finding line; according to the positioning system coordinates and the positioning ellipse center coordinates, combining the positioning and direction-finding data to measure the long axis of the positioning ellipse and the short axis of the positioning ellipse; setting a cyclic search coefficient, sequentially calculating the corresponding parameters of each cyclic search coefficient, the fusion positioning result and the positioning variance, and converting the fusion positioning result corresponding to the minimum positioning variance into a latitude-longitude-height form for output. The application solves the problem that fusion positioning cannot be performed when the observation results of multiple sensors are greatly deviated, and the positioning accuracy of the fusion algorithm is greatly improved compared with the single-sensor case.

The invention relates to an unmanned road roller operation speed planning method which comprises the following steps: acquiring position and speed data through RTK (Real-Time Kinematic) equipment, and transmitting data on a paver to a road roller by utilizing network bridge equipment; converting the longitude and latitude coordinates of the paver and the road roller into an east-north-sky coordinate system, and calculating the real-time speed of the paver and the relative distance between the paver and the road roller; constructing a multi-objective function to dynamically calculate the target speed of the road roller by integrating the speed of the paver, the compaction vibration state and the number of times of rolling; constructing constraint conditions to solve the target speed of the road roller in combination with the multi-objective function; dynamically adjusting the speed based on the relative distance between the paver and the road roller; and performing speed assignment on path points of the whole operation path, and generating a global speed planning scheme in combination with constraint conditions, a multi-objective function and a dynamic adjustment result. The method can effectively improve the operation quality and the operation efficiency of the road roller.