76 results about "LattisNet" patented technology

The invention discloses a transmission line design method based on GIS and Floyd algorithm. The design method comprises the following steps: firstly, processing environmental impact data of an area where a line is predicted to pass and gridding the researched area, secondly, setting up a grid rating model in a design area by utilizing a GIS technology according to the geography information of the line design region, thirdly, connecting a start point and an end point in grids, analyzing intersected grids in a connection line and the grids, and finding out grids where the connection line passes through and the line is unsuitable to build, fourthly, figuring out directed weighted graphs among all nodes through the Floyd algorithm and constructing a weight matrix, and fifthly, adjusting the number of the nodes allowed to pass by the line, acquiring the weight matrix at initial state and a weight matrixes corresponding to the number of different intermediate nodes, and acquiring the line generated when the total path length is shortest. The transmission line design method utilizes a dynamic programming mathematical method, and analyzes spatial data in real time through a computer, so as to improve the accuracy and processing efficiency of line planning, reduce the workload, and shorten the design cycle.

The invention discloses a non-combined RTK positioning method based on Beidou III satellite four-frequency observation value, which comprises following steps that: step1,a monitoring point is used toreceive pseudo ranges and phase observed values of four frequency points of a Beidou satellite III from a monitoring point by a receiver; step 2, the data acquired in the step 1 and ionospheric grid data released by CNES in the step 1 are transmitted to a server; step 3, the differential positioning of the two data acquired in the step 2 are carried out; step 4, an inter-station single differenceobservation equation of B3I frequency points is additionally provided, and the ionospheric value acquired by calculation through grid data released by CNES to constrain the ionosphere; step 5, Kalmanfiltering is used to estimate parameters, and double-difference ambiguity is fixed to acquire the displacement variation of the monitoring point and a time difference between the monitoring point andthe mobile station; step6, the data acquired in the step 5 is recorded in a data center, early warning is carried out according to a pre-safety threshold, and at the same time, the time difference data between the monitoring point and the mobile station is transmitted to the server, and then the time is automatically calibrated by the server.

The invention relates to the technical field of mapping, in particular to a microblog registration data online acquiring method for grid division of geographic regions. The method includes steps of firstly, configuring a database, secondly, subjecting the geographic regions to grid division, thirdly, acquiring basic information of POI (point of interest) points in grid regions, fourthly, acquiring dynamic position information of each POI point, and fifthly, acquiring historic registration tracks of users. The microblog registration data online acquiring method realizes online, quick, efficient and massive download of microblog registration data, satisfies requirements for massive registration data in society and fields of LBS (location based service). Microblogs are used to freely provide interfaces as media for downloading data, and the method is high in efficiency, low in cost and easy to implement.

The invention discloses a partitioning method for underground pipe network general survey in municipal administration, and the method comprises the following steps: (1) collecting pipe network data ofa region to be generally surveyed, obtaining pipe point data and pipe section data according to the pipe network information of the region to be generally surveyed, and constructing a topological structure diagram of a pipe network; (2) extracting a backbone network of the underground pipe network based on a cutting algorithm; (3) dividing the underground pipe network into a plurality of minimumpartition units by taking the length of the pipe network as a convergence condition based on a community discovery algorithm; (4) inputting the specified number of general survey partitions, and aggregating the minimum partition units of each pipe network by taking the length and the area of the minimum partition units as constraint conditions; (5) outputting a pipe network partition result, wherein the pipe network partition result comprises pipe network vector data and statistical information such as pipe network length and area of each partition. According to the method, the defects that inurban underground pipe network management general investigation work, a traditional regular grid partitioning method destroys pipe network continuity, general investigation workloads are not uniformand the like are overcome.

The invention provides a multi-source dynamic grid network RTK positioning method and system, a terminal and a storage medium. The method comprises the following steps: obtaining external grid data, storing the external grid data in a local grid data cache, and enabling the external grid data to comprise external grid point coordinates and corresponding virtual reference station service data; extracting general coordinates of the user positioning request, calculating nearby grid points of the user according to the general coordinates, and screening binding grid points of the user from the nearby grid points; and searching the virtual reference station service data bound with the grid points from the grid data cache, and calculating the accurate coordinates of the user according to the virtual reference station service data and the approximate coordinates of the user. According to the method, the dynamic gridding network RTK algorithm and the external grid data can be fused, the coverage range of an existing high-precision positioning service is widened, and meanwhile the application of the external grid data in the current service field is expanded. And a win-win mode of internal high-precision service expansion and external high-precision data industry application diversification is started.

The invention discloses a power transmission channel path optimization method considering geographical factors, and belongs to the field of power transmission channel planning. A power transmission channel path optimization method considering geographical factors comprises the following steps: collecting geographical information of an area to be planned and existing grid structure information of apower transmission network, and establishing a top-layer power transmission channel planning model based on an existing grid structure; establishing a geographic information hierarchical structure model according to the properties of the geographic environment influence factors, performing gridding on a to-be-planned area, respectively solving each layer of weight values and comprehensive weightvalues of the influence factors by adopting an interval analytic hierarchy process, and assigning the weight values and the comprehensive weight values to each grid; establishing an underlying power transmission channel path optimization model by taking the geographic environment total cost as a target, searching a to-be-planned extended line optimization scheme through a Dijkstra algorithm, and constructing a to-be-selected power transmission path set; and calling a genetic algorithm to solve the top-layer power transmission channel planning model.

The invention discloses a space grid universal construction method driven by a global discrete point cloud system. The space grid universal construction method comprises: 1, generating a global discrete point cloud model based on grid points of a spherical four-point ternary network; 2, encoding the global discrete point cloud; 3, converting the codes and the geographic coordinates; 4, creating a proximity search rule of the global discrete point cloud system; and 5, generating a global discrete grid integrated code. According to the method, the grid points are taken as the core, a global discrete point cloud system is introduced, a universal generation method of the global discrete grid is constructed, and a new thought is provided for an interoperation mechanism of the global discrete grid.

The invention discloses a PM2.5 concentration space-time prediction method based on deep learning, and the method comprises the steps: firstly carrying out data preprocessing and space-time matching of PM2.5 data and multi-source data of a ground monitoring station; carrying out influence factor analysis on multi-source data such as meteorological data, spatial related data and physical characteristic data, and selecting related characteristic factors as auxiliary input data of the model; on the basis of the space-time correlation analysis of the PM2.5 data of the ground monitoring stations, obtaining appropriate time lag variables, and clustering the monitoring stations; on the basis of the historical sequence and the PM2.5 concentration value of the adjacent grid, in combination with related auxiliary data, using an improved LSTM model to output the PM2.5 concentration value of the grid at the future moment and carrying out fine PM2.5 space-time distribution mapping. The method can improve the precision of long-term space-time prediction and can also be used for predicting the PM2.5 concentration at the continuous large-range future moment in space. And the requirements in practical application are met.

The invention relates to a multi-source mobile measurement point cloud data air-ground integrated fusion method, a storage medium and a terminal. The multi-source mobile measurement point cloud data air-ground integrated fusion method comprises the steps: extracting building contour point cloud data A from point cloud data collected by different platforms in a clustering judgment mode, and extracting rod-shaped object point cloud data B from point cloud data collected by different platforms through two-dimensional analysis of three-dimensional gridding; matching the features of the building contour point cloud data A or the rod-shaped object point cloud data B extracted from different platforms, and judging whether the features are the same building contour or the same rod-shaped object ornot; and registering the point cloud data acquired by different platforms through adjustment calculation according to the feature matching result to obtain a registration fusion result. The multi-source mobile measurement point cloud data air-ground integrated fusion method has the advantages that point cloud registration of different platforms is carried out by adopting object-level features, and the applicability is higher, and the precision is higher, and point cloud data acquired by multiple platforms is subjected to fusion management, and integration of multi-time-space and multi-platform data is realized.

The invention discloses a newly-added PM2.5 fixed monitoring station site selection method based on space-time Kriging interpolation. The newly-added PM2.5 fixed monitoring station site selection method comprises the steps: screening PM2.5 station observation data of a preset research region, and obtaining a preset group of PM2.5 concentration data through screening; preprocessing the screened preset group of PM2.5 concentration data, counting the time distance and the space distance between stations, dividing grids of a research area, taking each grid as an alternative station, calculating atime variation function and a space variation function, and establishing a product model to calculate a space-time variation function; calculating the Kriging estimation error variance of each grid, calculating the Kriging estimation error variances of all alternative grid sites in the research area, grading and comparing the Kriging estimation error variances; and calculating the overall regionalvariance after the alternative grid sites of different levels are newly added. According to the newly-added PM2.5 fixed monitoring station site selection method, site selection optimization is carried out from the perspective of newly added fixed monitoring stations, and more accurate PM2.5 concentration information is estimated by using fewer monitoring stations.

The invention relates to the technical field of the radio monitoring, specifically a visual realization method of the public mobile communication signal coverage. The method comprises the steps of data preparation, target region grid transformation, signal coverage intensity computation, color mapping, map service publication and terminal presentation. A problem of adopting the two-dimensional environment as the management query presentation of a mobile communication station in the tradition is changed; the signal coverage can be restored more real by using the three-dimensional terrain and a building model; the early computation is performed by using ray tracing method, a great deal of work is early finished and then presented, the presentation efficiency and user experience are greatly improved; and meanwhile, the background data size has no connection with the front data presentation efficiency, thereby guaranteeing a situation that the system can be more suitable for the larger region; the method is fast and convenient, so that the manager can clearly understand the coverage situation of the public mobile communication signal at the management region, and the support is provided for the radio management decision.

The invention provides a planar target rasterization method based on a multi-level global grid. The method comprises the following steps: performing multi-level grid division and coding on a global geographic space to construct a global grid model; calculating a multi-level planar target rasterized grid according to global grid model information; and aggregating the multi-level rasterized grids by adopting an aggregation mode, and selecting the aggregated rasterized grids as planar target rasterization results. According to the method, the multi-level grid model is established in the global geographic space, and the planar target at any global geographic position can be rasterized based on the same model, so that the consistency of the rasterization results is ensured; meanwhile, the aggregation mode is adopted, planar target rasterization results of multiple levels are aggregated, an aggregated grid set is selected, and the data size after planar target rasterization is greatly reduced; the minimum size of the grid reaches the second level, and the precision is high; and multi-level planar target rasterization is supported, rasterization results are aggregated, and the rasterization data volume is small.

The invention provides a power line automatic extraction method based on LiDAR point cloud data, and the method comprises the following steps: S1, obtaining the point cloud data of a power transmission line, and carrying out the preprocessing of the original LiDAR point cloud data; S2, processing the preprocessed point cloud data based on the grid height difference and the elevation threshold, andseparating the power line point cloud from the non-power line point cloud to extract the power line point cloud; S3, further optimizing and extracting the extracted power line point cloud by utilizing a Hough transform identification straight line model thought; and S4, according to the extracted power line point cloud data, utilizing a quadratic polynomial model to carry out piecewise fitting oneach grade of wire to obtain a reconstructed power line model. According to the power line automatic extraction method based on the LiDAR point cloud data, automatic extraction and reconstruction ofthe power line in the LiDAR point cloud data are realized, the classification efficiency of the laser radar point cloud data is greatly improved, and the power line automatic extraction method based on the LiDAR point cloud data has important significance for transformation of a power transmission line, hidden danger analysis and troubleshooting of the line.

The invention discloses a massive point cloud layered real-time rendering method based on an octree index. The three-dimensional laser scanning data volume often reaches a GB level or even a TB level, and if point clouds cannot be refreshed in real time, the requirement for visualization of massive point clouds cannot be met. The method comprises the six steps of point cloud three-dimensional grid partitioning, tiny point cloud block fusion in combination with octree features, point cloud partitioning binary system bin file dynamic output, point cloud partitioning binary system bin file multi-level index construction, Poisson disc uniform sampling, hierarchical structure output and point cloud real-time hierarchical scheduling rendering. According to the method, the point cloud file is subjected to three-dimensional grid partitioning, so that the memory consumption is greatly reduced, and the index query efficiency is improved; and an improved Poisson disk sampling strategy is used, so that data redundancy is avoided.

The embodiment of the invention discloses a point cloud data screening method and device, equipment and a storage medium. The method comprises the steps: carrying out grid subdivision on an original point cloud, and obtaining the octree structure data corresponding to the original point cloud; and sampling point clouds in leaf nodes of each level in the octree structure data to obtain target point clouds. Through the technical scheme of the embodiment of the invention, the purposes of sampling the original point cloud data and obtaining the high-resolution point cloud data representing the detail features of the object are achieved.

The invention provides a spatial data indexing method integrating GeoHash and Quadtree. The method comprises the steps of creating an improved quadtree index structure and dynamically updating from bottom to top ,wherein the improved quadtree index structure comprises an improved quadtree, a direct access table and a Hash index table established on a space object, the improved quadtree adopts a region division rule based on GeoHash and quadtree similarity, a space region is divided according to the GeoHash, the quadtree with nodes in one-to-one correspondence with GeoHash codes is establishedaccording to a grid, and a direct access table is used for pointing to all intermediate nodes in the improved quadtree; and a corresponding space object record in the improved quadtree leaf child nodeis accessed by using a Hash index table based on a space object identifier based on a bottom-up dynamic updating algorithm, and when the space object sends a position updating request, a plurality ofupdating strategies are adopted according to the position change degree of the space object. According to an improved quadtree index structure, an extended bottom-up dynamic updating algorithm is provided, and frequent updating operation of indexes is supported.

The invention provides a coarse and fine matching positioning method based on a WIFI address and field intensity. The method comprises the following steps: 1, carrying out quadrilateral grid or triangular mesh fingerprint point layout; 2, acquiring and preprocessing data, and establishing a fingerprint database; 3, performing clustering and blocking processing on the fingerprint database, and calculating the class center of each fingerprint database class, including a class center signal intensity vector and a corresponding class address vector; 4, roughly matching the access point address information of a real-time WIFI signal with the address vector of each class to realize rough class range estimation; 5, calculating the distance between the real-time WIFI signal intensity value and theWIFI signal intensity center vector in the class obtained after rough matching and the probability, and accurately determining the class so as to enhance the class matching accuracy; and 6, in the accurately determined class set, calculating the final position of the target through a WKNN algorithm. According to the invention, the workload of fingerprint acquisition and the positioning calculation amount can be reduced, and the WIFI positioning precision is improved.

The invention belongs to the field of laser scanning measurement data processing, and relates to a distributed multi-level spatial indexing method for mass airborne laser point cloud, which comprises the following steps: 1) dividing a laser point cloud space based on a virtual grid to form laser point cloud partitions; 2) constructing a laser point cloud partition local index based on a quadtree and a three-dimensional R tree; and 3) taking a root node of the local index of each laser point cloud partition as a leaf node of a global spatial index, and establishing the global spatial index by using an STR tree. According to the distributed multi-level spatial indexing method for the massive airborne laser point clouds, distributed storage and efficient query and scheduling of the massive airborne laser point clouds on cluster nodes can be achieved.

The invention discloses a CORS base station networking method, and the method comprises the following steps: generating a first Delaunay triangular grid for all base stations according to a Delaunay triangular grid method to form a first CORS network; removing each base station from the first CORS network in sequence, and generating a second Delaunay triangular grid for the remaining base stationsaccording to a Delaunay triangular grid method until all the base stations are processed; and comparing all the edges of the second Delaunay triangular grid generated each time with all the edges inthe first Delaunay triangular grid to find out difference edges, and adding the difference edges into the first Delaunay triangular grid to form a second CORS network. Some baselines are added in theCORS network, when a certain base station is not available, the corresponding baselines are started, and the availability of the CORS network is ensured. The invention further discloses a CORS base station networking device and a storage medium.

The invention discloses a coding adaptive mapping method for global and local grids, and the method comprises the steps: firstly, expanding a two-dimensional DQG grid into a DQG-3D grid; then, determining a locally subdivided DQG-3D grid according to the range of the research area; and finally, realizing direct conversion between local octree coding and global grid coding according to coding bit operation and a mapping rule of a grid local row and column layer number and a global row and column layer number. In most research areas, the efficiency of the algorithm is about 11 times that of a traditional longitude and latitude algorithm, and the multi-scale efficient expression and application requirements of a global unified model and a local fine model can be basically met.

In an asynchronous CDMA communication system using long codes, multiple access interference can be reduced. In one aspect, Parallel Interference Cancellation (PIC) performs decoupled estimation, preferably non-linear and applied to chip spacing. According to another aspect, interference is canceled using a technique that estimates bits in a symbol by interpolating a user's signature waveform into a common sampling grid of received data. According to another aspect, multi-stage, hybrid multi-stage and reconfigurable recursive multi-stage multi-user detection structures and corresponding processing may be provided.

The invention provides a safe transmission method, device and system of network RTK data, and relates to the technical field of network RTKs, the method is applied to central calculation software of anetwork RTK, and the method comprises the following steps: firstly, receiving an encryption general coordinate sent by a mobile station of the network RTK, wherein the encryption general coordinate is obtained by encrypting the general coordinate of the moving station of the network RTK by using a public key of a differential correction number of a central point of a grid where the moving stationof the network RTK is located; obtaining a private key of a difference correction number of a central point of a grid where the moving station is located; and decrypting the encrypted general coordinate by using the obtained private key to obtain the general coordinate of the moving station. According to the invention, the reliability of network RTK data transmission is improved.