9 results about "Geohash" patented technology

The application relates to the technical field of games, in particular to a one-dimensional mapping positioning method for games, which comprises the following steps: collecting spatial coordinate data of game objects, constructing a regular gridded game map, and establishing a unified coordinate system; converting two-dimensional coordinates of the map into binary cross combination and decimal conversion to generate GeoHash codes suitable for the regular gridded game map; constructing a quadtree storage system, aggregating and storing the game objects in corresponding nodes according to the coding prefix association relationship, and dividing hot storage areas and cold storage areas in the nodes according to the position update frequency of the game objects; receiving a search request containing a center coordinate and a search radius, converting the center coordinate into a GeoHash code and intercepting a target prefix, optimizing the search precision by dynamically adjusting the coding prefix length, and accurately positioning the spatial position of the target game object within the search radius through multidimensional filtering and screening. The scheme can accurately position the spatial position of the game object through multidimensional screening.

The application belongs to the technical field of charging facilities, and discloses a charging station site selection and capacity configuration optimization method based on multi-source space-time data, which collects six-dimensional full multi-source space-time data of vehicles, power grids and the like, divides basic and vehicle-end characteristic data categories, performs full-process standardized processing, completes exception correction, missing completion and unification of CGCS2000 space coordinate system and dynamic time granularity, also realizes vehicle-network space-time calibration and builds an integrated index database of GeoHash coding; improves planning basic data precision, eliminates space-time matching deviation of different data sources, realizes rapid retrieval and linkage query of vehicle-network charging data; through construction of a three-level space-time constraint system, high feasibility alternative stations are screened, multi-dimensional decision variables are determined and a site selection-capacity-vehicle-end adaptation collaborative correlation matrix is built, five core multi-objective optimization directions are established, and an improved NSGA-III algorithm is used for solving and sorted by an entropy weight-TOPSIS method.

The application discloses a nearest neighbor query optimization algorithm of GeoHash, and based on inherent geometric characteristics of GeoHash, by mining the inherent correlation between the geometric characteristics of the GeoHash grid and the spherical constraint, a judgment tool optimized specially for the grid level comparison is constructed, and unified processing from the grid to the point level judgment is realized; in view of the difficulty of the nearest neighbor query, a multi-level progressive pruning architecture is innovatively proposed based on the spatial distribution physical characteristics, the accurate calculation complexity is reduced to the minimum through a distance factor pre-computation model, and a complete optimization solution is provided for large-scale spatial data retrieval.

This invention discloses a blockchain-based big data information security management method, comprising: constructing a layered blockchain architecture, including a core chain and multiple sub-chains, wherein the core chain records the chain head hash value, data storage location, and access permissions of the sub-chains; collecting features of the data to be stored and generating a feature dataset by combining Geohash encoding; constructing a priority partitioning model based on a linear weighted algorithm and the TOPSIS algorithm to prioritize the data features in the feature dataset and generate priority scores; dynamically allocating the data to be stored to high-security-level sub-chains or low-security-level sub-chains through a cold / hot separation storage strategy; recording the data storage index and access permissions to the core chain; parsing user query requests using the core chain, distributing them to the corresponding sub-chains, where the sub-chains process the query requests in parallel and return the query results to the core chain; and verifying the user's access permissions through the core chain, and upon successful verification, reading the data stored in the corresponding sub-chain based on the query results.

The application discloses a satellite high-precision positioning method, a positioning platform and a differential service platform. After receiving a positioning service request message sent by a terminal, the positioning platform converts satellite rough positioning position information of the terminal into a first GeoHash string by using a GeoHash algorithm. After receiving a differential data request message carrying the first GeoHash string sent by the positioning platform, the differential service platform matches the first n strings in the first GeoHash string, and obtains differential data of a corresponding grid. Since the positioning platform will not directly send a message carrying satellite rough positioning position information of the terminal to the differential service platform, but converts the satellite rough positioning position information into the first GeoHash string, and represents the position information of the terminal by the first GeoHash string, and the differential service platform receives a differential data request message carrying the first GeoHash string, therefore, the differential service platform will not receive the position information of the terminal, so that the position information of the terminal is protected, and the security of data transmission is improved.

This invention discloses a meteorological data management system and method based on a cloud platform. The invention relates to the field of data management technology and includes a meteorological data acquisition module, a distributed storage and analysis module, a data compression and management module, and a comprehensive management information output module. It solves the technical problems of insufficient storage architecture adaptability and low data storage efficiency caused by a single compression method. This invention supports EB-level data expansion by adopting a distributed architecture with regional hash time range sharding; it constructs multi-element, multi-dimensional indexes of time series, spatial, and Geohash elements, combined with HBase composite RowKey and Elasticsearch secondary indexes to reduce multi-dimensional query latency and meet real-time early warning requirements; it implements intelligent sharding of large files based on Python batch sharding scripts, combined with PostGIS spatial indexing to reduce single-region extraction latency; and it automatically extracts metadata and constructs a hybrid index using GDAL / h5py to reduce retrieval time.

The application provides a trajectory point clustering method and device, electronic equipment, storage medium and program product, and relates to the technical field of big data. First, a trajectory point set of a target area within a specified time is obtained, the trajectory point set including longitude and latitude coordinates of a plurality of trajectory points; then, a GeoHash grid to which each trajectory point belongs is determined based on the longitude and latitude coordinates of the trajectory point, to obtain a trajectory point subset corresponding to the GeoHash grid; and then, for each two adjacent GeoHash grids, a trajectory point distribution distance between the two GeoHash grids is determined, and if the trajectory point distribution distance is lower than a preset interval, the two GeoHash grids are taken as a to-be-reviewed grid pair. The application splits the global trajectory point set into trajectory point subsets in the grids in a grid manner, then integrates across the grids after local clustering processing in the grids, greatly reduces the calculation complexity of global clustering, and improves the processing efficiency.

Embodiments of the present application relate to the technical field of electronic map, and disclose a POI data fusion method, an electronic device and a computer readable storage medium. The POI data fusion method comprises: obtaining a first data set and a second data set to be fused, wherein the first data set and the second data set each comprise a plurality of POI data; searching for POI data in the first data set and the second data set located in a same geohash nine-square grid according to geohash encodings of the POI data in the first data set and the second data set; performing a Cartesian product on the POI data in the first data set and the second data set located in the same geohash nine-square grid to form different data groups; calculating a similarity of two POI data in each data group, and determining whether the similarity exceeds a threshold value. The POI data fusion method, the electronic device and the computer readable storage medium provided by the embodiments of the present application can improve the fusion efficiency of POI data.