31 results about "Geographic coordinate conversion" patented technology

The invention discloses a method and system for predicting a next interest point of a user based on a large language model, terminal equipment and a storage medium, and belongs to the field of interest point prediction.The method comprises the steps that geographic coordinates are converted into hierarchical quad-key representation through a geographic coordinate injection module, and Fourier position codes are fused; the large language model can accurately capture spatial proximity and complex geographic relations, and the problem that the large language model is difficult to directly sense geographic data is solved; an interest point transfer graph is constructed through an interest point alignment module, transfer preference features are extracted through a graph convolutional network, then the transfer preference features are aligned with the semantic space of the large language model, and interest point transfer relation information is effectively integrated; and finally, predicting the next interest point of the user through a Transform layer of the large language model in combination with the geographic coordinate features and the interest point features, thereby solving the problem that the recommendation result of the interest point is inaccurate due to the fact that the large language model cannot accurately perceive geographic data in the prior art.

The invention discloses a short-wave time difference positioning method based on particle swarm optimization, which is realized by aiming at a short-wave signal source positioning problem under the condition that ionized layer information is unknown through the following steps of: dynamically screening a receiving station combination with optimal geometric distribution by adopting a particle swarm optimization algorithm based on longitude and latitude and time difference observation data of a receiving station group; taking the main receiving station as a coordinate origin, and converting the geographic coordinates of the selected station into rectangular plane coordinates; constructing a time difference positioning equation set by using a Chan algorithm, and calculating a target position through pseudo-inverse solution and an iteration strategy; and filtering the ill-conditioned solution based on a geometric accuracy factor threshold, analyzing a positioning point cluster through sliding window density, and outputting median coordinates as a final positioning result. According to the method, the receiving station is innovatively selected and modeled as a combinatorial optimization problem, the positioning precision in a complex electromagnetic environment is remarkably improved through a collaborative architecture of particle swarm optimization and a Chan algorithm, and the problem of positioning drift caused by poor geometric distribution of stations in a traditional method is effectively solved.

The present application relates to a geographic flame segmentation method and apparatus, a computer device, and a storage medium. The method comprises: using an unmanned aerial vehicle to acquire a visible light image of a fire region, and using an infrared sensor mounted in the unmanned aerial vehicle to acquire an infrared image of the fire region; fusing the visible light image and the infrared image by means of an image fusion module to generate a multi-source fused image that comprises detailed information and highlights a target; performing feature extraction on the multi-source fused image by means of a ShuffleNet structure-based lightweight feature extraction module to obtain a flame region feature map; and inputting the flame region feature map into a flame segmentation model to obtain a flame segmentation result, and performing georeferencing on the flame segmentation result by means of a geographic coordinate conversion module to output a flame segmentation result having real geographic coordinates. The embodiments of the present application can significantly improve the flame segmentation effect of a model in a fire scenario involving obstructions such as smoke, and greatly reduce the number of model parameters, thereby improving the computational efficiency of the model.

The invention relates to the technical field of data processing, and discloses a 5G-A unmanned aerial vehicle track monitoring method and system for power grid inspection. The method comprises the following steps: acquiring 5G-A base station sensing data and cleaning to obtain a space coordinate sequence; converting the geographic coordinates into relative position coordinates, and performing dynamic slicing and standardization processing; extracting time sequence features through an LSTM model to determine a target category, and calculating a space deviation distance between a sensing track and a reported track; and according to the deviation distance and the matching result, determining a security situation and generating an alarm. According to the invention, accurate identification and safe controllable supervision of the low-altitude target in the power grid inspection area are realized.

The invention relates to a horizontal wind field inversion data error correction method based on a phased array radar, which relates to the field of radio, realizes three-dimensional space unification through beam height estimation and polar coordinate and geographic coordinate conversion, realizes time unification from a wind profile radar wind field to a phased array radar volume scanning center moment, and improves the accuracy of the volume scanning center. Forming a four-parameter space-time collaborative inversion model by combining multi-base space matching, split-phase-state terminal falling speed correction and SNR (Signal to Noise Ratio) and speed spectrum width-based quality control and error variance construction; the method comprises the following steps: extracting a vertical error mode from errors of a phased array radar and a wind profile radar, automatically distinguishing three types of deviations of a low altitude, a boundary layer transition layer and a mid-high altitude, and constructing a hierarchical classification weight matrix; and meanwhile, an observation weight with stronger physical constraint is set by utilizing an error variance field driven by SNR and velocity spectrum width, and error correction of the phased array radar horizontal wind field is realized through a self-attention time sequence error correction model, so that the quality of a phased array radar horizontal wind field product is remarkably improved.

The invention discloses a real-time display method and device for an electric power underground concealed project based on AR glasses. The method comprises the following steps: acquiring an RTK geographic positioning coordinate through an RTK positioning module integrated with the AR glasses; constructing a coordinate conversion relation through an RTK geographic positioning coordinate, an AR system coordinate and an AR geographic due north correction angle theta; extracting a geographic coordinate set of the target model from the underground engineering model database, and establishing a relative position mapping relation from the geographic coordinates of the model to the current RTK coordinate system; based on the established coordinate conversion relation, converting the geographic coordinates of the underground engineering model into relative coordinates under the coordinate system of the AR system; and dynamically binding the calculated relative coordinates to a physical space through a visual tracking module of AR glasses, and generating an underground model holographic image consistent with the perspective relationship of a real earth surface scene. The method aims at achieving high-precision and stable visualization of the three-dimensional model of the electric power underground hidden project and improving the safety level of electric power inspection and construction.

This application relates to the field of open-pit mining technology, and provides an adaptive open-pit geological spatial grid mapping method and system. In this method, based on the Hough space curve of the geographic coordinates of open-pit geological exploration boreholes, a first kernel density estimation curve for the boreholes is determined. After constructing a linear space for the boreholes based on the first kernel density estimation curve, the geographic coordinates of the boreholes are converted into linear spatial coordinates, and a second kernel density estimation curve for the boreholes is determined based on the linear spatial coordinates. A peak matrix is ​​constructed based on the coordinate axis values ​​corresponding to the peak values ​​of the second kernel density estimation curve, and the adaptive grid position of the boreholes is determined based on the linear spatial coordinates and the peak matrix. This achieves an adaptive open-pit exploration borehole grid and determines the position of each open-pit geological exploration borehole within the grid, providing a new means for three-dimensional geological modeling of open-pit mines and meeting the practical needs of combining open-pit geological exploration with three-dimensional geological modeling.

The application provides a kind of aerial data building height calculation method based on 3D Gauss technology, comprising obtaining aerial photograph;Carrying out data pretreatment;Carrying out geographic coordinate conversion;Taking all aerial photographs, calculating its position in local coordinate system before conversion, applying conversion function f_best (x, y, z), make local coordinate system and target coordinate system align;The internal parameter, external parameter, sparse point cloud of converted aerial photograph are input into 3DGS algorithm, and scene reconstruction is carried out;Obtain user click position;Calculate the building height of the user click position.The aerial data building height calculation method based on 3D Gauss technology proposed by the application introduces 3DGS technology into city building three-dimensional modeling, for high-definition image data collected by unmanned aerial vehicle, while taking into account the advantages of 3DGS technology, realizes interactive browsing and automatic height measurement task.

The present application relates to the technical field of mixed reality (MR) and geographic information system (GIS), and proposes a method for indoor and outdoor GIS real-time collaboration and position matching based on MR equipment, which integrates real geographic space information and virtual geographic space information, combines spatial positioning and object recognition technology, and uses a geographic coordinate conversion method to support indoor and outdoor GIS collaboration based on MR equipment. The method ensures that three-dimensional GIS data can be accurately displayed in indoor and outdoor MR equipment, and makes the geographic information in indoor and outdoor MR environments consistent, thereby realizing accurate matching of indoor and outdoor geographic positions. The present application supports the collaborative work of GIS data in indoor and outdoor MR environments, and improves the immersive experience and interactivity of users.

The application provides an intersection collision warning method combining low-altitude aerial photography and double-branch deep behavior prediction, and relates to the technical fields of intelligent traffic management, unmanned aerial vehicle application and artificial intelligence multi-modal fusion. The method comprises the following steps: based on a large model driven unmanned aerial vehicle cluster dynamic layout and trajectory planning, no dead angle image acquisition and intelligent classification are carried out on a cross intersection; with the help of an improved S_MBLBP operator and a perspective transformation model, high-precision correction of aerial images and pixel-geographic coordinate conversion are realized; through a YOLOv11-OBB model, vehicle directional positioning, angle perception and number tracking are completed, and complete motion parameters are obtained; an Mamba-VSF double-branch hybrid model is used to predict the optimal trajectory of the vehicle, and the future position and direction angle are output; based on the bounding box intersection area calculation and dynamic threshold setting, the collision risk level is determined to assist the traffic participants to avoid risks.

The present application relates to a kind of based on phased array radar horizontal wind field inversion data error correction method, it is related to radio field, is realized three-dimensional space unification by beam height estimation, polar coordinate and geographic coordinate conversion, realize the time unification of wind profile radar wind field to the center time of phased array radar volume scanning, combined with multi-base space matching, the terminal falling speed correction of phase state is divided into, and the quality control and error variance construction based on SNR, speed spectrum width, form four-parameter space-time collaborative inversion model;From the error of phased array radar and wind profile radar, extract vertical error mode, automatically distinguish three kinds of deviation of low altitude, boundary layer transition layer and high altitude, construct hierarchical classification weight matrix;SNR and speed spectrum width are driven simultaneously by error variance field and set observation weight with stronger physical constraint, by self-attention time error correction model, realize the error correction of phased array radar horizontal wind field, significantly improve the quality of phased array radar horizontal wind field product.

This invention discloses a method for measuring human brain cognitive maps using long-term temporal behavioral trajectory big data, comprising the following steps: acquiring data, extracting dwell events and movement events, and constructing a "state-action" trajectory sequence; calculating the built environment features of each dwell location; designing grid cell-inspired absolute and relative position codes to convert geographic coordinates into multi-scale, translation-invariant embedding vectors; constructing a Transformer-based encoder-decoder architecture; adopting a Bayesian iterative learning scheme based on the AVRIL framework; using the SHAP method to decompose the contributions of geographic location and built environment; inferring rewards for unvisited locations and generating a mental map heatmap; and outputting prediction performance indicators and interpretability analysis results. According to this invention, the structure is simple, the theoretical foundation is solid, and it possesses advantages such as high performance, high interpretability, and low manual intervention costs, showing broad prospects for promotion and application in the interdisciplinary fields of cognitive science, data science, and spatial information science.

The invention discloses a distributed power supply capacity and position dynamic calculation method based on machine vision, and the method comprises the steps: S1, obtaining and fusing multi-source heterogeneous data, and constructing a multi-dimensional digital resource library; s2, the remote sensing image is finely processed, and the visual features of the distributed power supply are highlighted; s3, a Mask R-CNN deep learning model is adopted, and a pixel-level contour of each distributed power supply is accurately identified and segmented; s4, automatically converting the pixel-level contour into the capacity and the position of the distributed power supply through a multi-dimensional digital resource library and a geographic coordinate conversion technology; and S5, repeating the steps S1 to S4 to obtain a new information base of the distributed power supplies containing capacity and position information, intelligently comparing the distributed power supplies in the new information base and the old information base by using a change detection algorithm, and updating machine account information. Advanced machine vision and deep learning technologies are introduced to automatically calculate the capacity and the position of the distributed power supply, and the intelligent level of power grid operation and the overall power supply reliability are improved.

The application discloses a kind of based on InSAR and finite element analysis building three-dimensional deformation inversion method and system. Including according to deformation rate abnormal period extraction LOS direction cumulative deformation variable;According to radar, building and so on Characteristic screening target building on PS point;Based on deformation rate abnormal period historical data, preliminary judgment deformation cause;Based on numerical simulation analysis under the constraint of SAR data;Establish the absolute coordinate point vector data of numerical simulation node grid, convert absolute coordinate to geographic coordinate;Convert directional deformation into LOS direction deformation variable;Calculate the continuous deformation result of numerical simulation result, compare the difference rate of measured PS point LOS direction deformation and simulated inversion LOS direction deformation by once linear fitting model;Based on once linear fitting result and expected degree modify numerical simulation condition setting, optimize simulation result.The application can solve the problem that InSAR inversion system cannot determine the absolute three-dimensional deformation data of building target.

This invention provides a hexagonal global discrete grid encoded spatial retrieval method and apparatus. The method includes: converting the spatial range to be retrieved into a vector polygon, and converting the geographic coordinates corresponding to each vertex of the vector polygon into tile coordinates to obtain a tile polygon; wherein the spatial range to be retrieved is determined based on multiple geographic coordinates; converting each edge of the tile polygon into tile coordinates according to the cross-face information of the tile polygon, and converting each tile coordinate into corresponding global coordinates according to the arrangement order of the tiles to obtain a global coordinate set; scanning and pairing each global coordinate in the global coordinate set row by row to obtain a pairing result, and determining the global discrete grid encoded set based on the pairing result. The method of this invention uses integer coordinates to perform the calculation of the retrieval method, reducing the influence of encoding, improving the versatility of the method, and improving the efficiency of spatial retrieval.

This application relates to the field of coal mining technology, and provides an adaptive generation method and system for open-pit geological exploration lines. By constructing a transformation matrix through angle clustering, the geographic coordinates of open-pit geological exploration holes are converted into linear coordinates. Then, the components of the current coordinates of each geological exploration hole are subtracted from and compared with the set of peak values ​​of the geological exploration hole density curve to generate an initial grid location list of geological exploration holes. Duplicate items in the initial grid location list are updated to generate open-pit geological exploration lines. This effectively solves the problems of inconsistent standards and uneven distribution of geological exploration lines formed by geological exploration holes during the merging of multiple geological exploration phases, as well as the problem of decreased accuracy in 3D geological modeling of open-pit mines caused by irregular geological exploration lines. The constructed geological exploration line grid is more reasonable than traditional methods, improving the accuracy of 3D geological models of open-pit mines.

The invention discloses a multi-object spatial information calculation method based on an Atde GIS, and the method comprises the following steps: 1, collecting spatial data, including remote sensing images, geographic coordinate data, and landform information; 2, preprocessing the data collected in the step 1, wherein the preprocessing comprises data cleaning, formatting and standardization; and step 3, converting the geographic coordinates of the distance measuring point and the geographic coordinates of the target into a north-sky-east coordinate system, calculating an azimuth angle theta, a pitch angle and a distance R by taking the position of the distance measuring point as an original point of a new coordinate system, and obtaining actual state data of the target in a real scene according to theta, R and the speed, the moving track, the advancing direction and the advancing angle of the target. According to the invention, the possibility of real-time interaction between a map GIS system and a real space object is expanded; physical behaviors of real space objects can be reflected to a map GIS system in real time, including parameters such as speed, orientation, pitch angle, altitude and the like.

The invention discloses a building three-dimensional deformation inversion method and system based on InSAR and finite element analysis. Comprising the following steps: extracting LOS-direction accumulated deformation quantity according to a deformation rate abnormal period; pS points on a target building are screened according to characteristics of radar, buildings and the like; preliminarily judging the deformation cause based on the historical data of the deformation rate abnormal time period; carrying out numerical simulation analysis based on SAR data constraint; establishing absolute coordinate point vector data of a numerical simulation node grid, and converting absolute coordinates into geographic coordinates; converting directional deformation into LOS direction deformation quantity; calculating a continuous deformation result of a numerical simulation result, and comparing the difference rate between the LOS direction deformation of the actual measurement PS point and the LOS direction deformation of the simulation inversion through a linear fitting model; numerical simulation condition setting is modified based on the linear fitting result and the expectation degree, and the simulation result is optimized. The method can solve the problem that the InSAR inversion system cannot determine the absolute three-dimensional deformation data of the building target.

The application relates to the technical field of electric power inspection, and discloses a cluster type unmanned aerial vehicle inspection method based on a power transmission line and related equipment. The method comprises the following steps: obtaining a three-dimensional laser point cloud model of a target power transmission line and sensing parameters of each unmanned aerial vehicle, extracting each inspection space information and a plurality of inspection points in the three-dimensional laser point cloud model, and generating an inspection tower directory tree; performing geographic coordinate conversion on each inspection point in the inspection tower directory tree to obtain a plurality of inspection point coordinates, and calculating sensing values of each unmanned aerial vehicle based on the sensing parameters of each unmanned aerial vehicle; matching corresponding inspection point coordinates based on the sensing values, and generating corresponding route inspection lines of each unmanned aerial vehicle according to the matching results; and controlling each unmanned aerial vehicle to form an unmanned aerial vehicle cluster to inspect each inspection point according to the route inspection lines, so that inspection data is obtained. The application realizes efficient cluster type unmanned aerial vehicle inspection of a power transmission line.

The invention discloses a mountain photovoltaic project site selection method, device and equipment and a medium, and belongs to the technical field of photovoltaic power generation. The method comprises: acquiring elevation data of a target area and selecting a reference point; converting the three-dimensional geographic coordinates of the terrain points around the reference point into polar coordinate parameters taking the point as an original point; generating a terrain envelope line in the gamma-alpha two-dimensional coordinate system; calculating a sun operation curve, comparing the sun operation curve with an envelope curve, judging shielding and calculating direct irradiation dose; further calculating a scattering irradiation loss amount, reversely deducing an irradiation threshold value in combination with an economic parameter, and screening to obtain a first candidate region; screening a second candidate area based on the gradient and the slope direction; and finally, determining a recommended construction range through space superposition analysis. According to the method, accurate quantification of mountain terrain shielding is realized through coordinate mapping and envelope analysis, comprehensive site selection is carried out in combination with economic and terrain constraints, and the accuracy and engineering feasibility of mountain photovoltaic project site selection are improved.

The invention discloses a CNN-GRU rainfall space-time interpolation method based on an attention mechanism, and the method comprises the steps: obtaining drainage basin rainfall data, and carrying out the preprocessing of the drainage basin rainfall data; gridding processing is carried out on the rainfall data of the drainage basin; establishing a geographic coordinate conversion hash table, extracting drainage basin rainfall data, and dividing the data into a training set and a test set; confirming structures of a convolutional neural network CNN and a bidirectional gating circulation unit GRU; an Attention mechanism is introduced, and for feature vectors output by the GRU, probabilities corresponding to different feature vectors are calculated according to a weight distribution principle; training a CNN-GRU rainfall space-time interpolation model based on the attention mechanism by using the training set, adjusting hyper-parameters, and iterating an optimal model; performing interpolation prediction and generating raster data, and finally evaluating an interpolation result. According to the method, multi-source data are fused, an Attention mechanism is introduced to guide the neural network to pay attention to important features from global and local angles, and the rainfall interpolation precision and the model robustness are improved.

The invention discloses a gas storage geographic coordinate conversion method and system, and the method comprises the steps: obtaining the original latitude and longitude coordinates of a gas storage, and determining a conversion starting point according to the coordinate system type of the original coordinates and a coordinate conversion chain, and the coordinate conversion chain is provided with a plurality of coordinate system type nodes which are arranged according to a preset coordinate system conversion sequence; determining a conversion end point according to the type of a target coordinate system and the coordinate conversion chain; and converting the original latitude and longitude coordinates of the gas storage into target coordinates according to a conversion sequence indicated by a relative position relation between a conversion starting point and a conversion ending point on the coordinate conversion chain. According to the method, a unified and standard underground gas storage geographic coordinate conversion process is established, and the precision error of a conversion result is reduced.

The invention provides a geoid calculation method, system and device and a medium, and relates to the technical field of marine surveying and mapping, and the method comprises the following steps: converting the geographic coordinates of an observation point into geocentric coordinates, and obtaining geocentric sphere coordinate parameters; based on the geocentric sphere coordinate parameters, calculating a model disturbance potential of an observation point by using an earth gravitational field model; calculating a model gravity anomaly of the observation point based on the model disturbance potential; subtracting the actually measured gravity anomaly from the model gravity anomaly to obtain the residual gravity anomaly of the observation point; substituting the residual gravity anomaly into the Stokes integral model, and calculating to obtain a residual geoid height; based on an earth gravitational field model, calculating to obtain a model geoid height; and summing the residual geoid height and the model geoid height to obtain the geoid height. According to the method, high-precision and high-efficiency ocean geoid calculation is realized through removal-recovery systematization calculation based on gravity anomaly and an earth gravitational field model.

The invention provides an aerial photography data building height calculation method based on a 3D Gaussian technology. The method comprises the steps that an aerial photography picture is acquired; performing data preprocessing; geographic coordinate conversion is carried out; all aerial photos are taken, the positions of the aerial photos in a local coordinate system before conversion are calculated, and a conversion function fbest (x, y, z) is applied to enable the local coordinate system to be aligned with a target coordinate system; inputting the internal parameters, the external parameters and the sparse point cloud of the converted aerial photograph into a 3DGS algorithm, and performing scene reconstruction; acquiring a click position of a user; and calculating the building height of the user click position. According to the aerial photography data building height calculation method based on the 3D Gaussian technology, the 3DGS technology is introduced into urban building three-dimensional modeling, and interactive browsing and automatic height measurement tasks are achieved while the advantages of the 3DGS technology are considered for high-definition image data collected by an unmanned aerial vehicle.

The application relates to a UAV positioning method and system under a satellite navigation denial condition, which comprises the following steps: obtaining an image containing a target and a target distance during UAV flight; converting the target coordinates in the image into first target space rectangular coordinates; converting the geographic coordinates of the target into second target space rectangular coordinates; obtaining the space rectangular coordinates of the UAV according to the first target space rectangular coordinates and the second target space rectangular coordinates; and converting the space rectangular coordinates of the UAV into the geographic coordinates of the UAV. The geographic coordinates of the UAV can be inversely calculated by simply summing the first target space rectangular coordinates obtained by converting the target coordinates in the image and the second target space rectangular coordinates obtained by converting the target geographic coordinates, and the UAV flight positioning requirement under the satellite navigation denial condition can be met.

The application discloses a short-wave time difference positioning method based on particle swarm optimization, which realizes positioning of a short-wave signal source under the condition that ionospheric information is unknown through the following steps: based on longitude and latitude of a receiving station group and time difference observation data, a particle swarm optimization algorithm is used to dynamically select a receiving station combination with the optimal geometric distribution; taking a main receiving station as a coordinate origin, geographical coordinates of selected stations are converted into plane rectangular coordinates; a time difference positioning equation set is constructed by using a Chan algorithm, a target position is calculated through pseudo-inverse solution and an iteration strategy; a geometric precision factor threshold is used to filter ill-conditioned solutions, and a positioning point cluster is analyzed through a sliding window density, and a median coordinate is output as a final positioning result. The application innovatively models selection of the receiving station as a combination optimization problem, and through a collaborative architecture of the particle swarm optimization and the Chan algorithm, positioning precision in a complex electromagnetic environment is significantly improved, and a positioning drift problem caused by poor geometric distribution of the station in a traditional method is effectively solved.

The application discloses a kind of measurable azimuth chart generation methods based on multi-modal data.Real scene data orthographic image is two-dimensional expression general intuitive data.The application includes collecting the multi-modal data of survey area, azimuth coordinate conversion and constructs azimuth net, image visible information analysis and visible information integration;In azimuth coordinate system, the object azimuth information in the range of interest is orthographic projection, to azimuth coordinate system xy plane, obtain range information, and extract the resolution and image size of azimuth chart in xy plane, assign to geographic coordinate conversion parameter;Coordinate depth map is generated, azimuth chart texture mapping, azimuth chart edge joint processing and uniform color, header information update and band merging and space measurement.The application proposes the azimuth chart generation method of retaining original image resolving power, avoids the problems of texture distortion and resolution loss generated by other indirect results.

This invention discloses a radar error calibration method and system based on a vision transformer, belonging to the field of radar data processing and error calibration technology. The method includes: acquiring radar measurement data and AIS data as ground truth; transforming the geographic coordinates of the AIS data to a local Cartesian coordinate system centered on the radar position, and achieving time alignment with the radar measurement time through linear interpolation; calculating the range error sequence and azimuth error sequence based on the aligned data, and weighting the results with confidence levels by combining AIS position accuracy information and ship navigation status information; constructing a radar error calibration model based on a vision transformer architecture; using the trained radar error calibration model to predict errors in the radar data to be calibrated, and completing the calibration. This invention can effectively characterize the long-range dependence and nonlinear relationship in radar errors, improve the accuracy of radar ranging and direction finding error calibration, and has good generalization ability and interpretability.

The application discloses a kind of method, equipment and medium suitable for unreal engine three-dimensional visual vector data, wherein method includes the following steps: vector data reading: obtain vector data file path, judge whether the data corresponding to path is vector data format, if yes, then data reading is carried out;Obtain coordinate system information, judge whether point coordinate is projected, if not, then geographic coordinate is converted into plane coordinate;Vector data cleaning: judge whether the vector data obtained is line or polygon with quantity greater than 3, if yes, then redundant point with equal slope is eliminated;Vector data offset: the vector data obtained by cleaning is offset based on the coordinate system of three-dimensional scene of unreal engine, to obtain the coordinate under unreal engine;Vector data three-dimensional presentation: the point line surface represented by the vector data obtained by offset is rendered into three-dimensional scene, and the corresponding effect is superimposed.The application greatly simplifies production process, and can realize vector data loading, presentation automation processing.