46 results about "Geohash" patented technology

The invention discloses a question answering system and a construction method for a motor vehicle driving teaching knowledge graph, and aims to overcome the defects of knowledge coverage integrity, scene adaptability, reasoning depth and interaction naturalness in the prior art. A traffic regulation document, coach voice and short videos and vehicle-mounted real-time data are integrated through a data acquisition module to cover rules and experience knowledge, a knowledge construction module constructs a space-time dynamic knowledge graph containing static and dynamic nodes based on Dgraph, space-time association is achieved by means of GeoHash coding, real-time updating is completed through an MQTT protocol, and the time-space dynamic knowledge graph is stored through a storage module. The intelligent reasoning module calls a DoWhy model to construct an'operation, principle and result 'causal chain in combination with a physical formula so as to output deep interpretation, and the interaction module achieves multi-mode immersion teaching through speech synthesis, gesture recognition and 3D animation, dynamically optimizes knowledge pushing according to student operation data, and achieves multi-mode teaching. The comprehensiveness, the real-time performance, the scientificity and the interaction naturalness of driving teaching are improved, and the method is suitable for intelligent driving teaching scenes.

The invention relates to a territorial space purpose control data processing method based on a space-time knowledge graph. The method comprises the steps that map entities and semantic relations between the map entities are configured in a mode layer, and the categories of the map entities comprise space-time entities used for representing space-time slice states and event entities used for representing human activities generating actual or potential influences on land states; establishing a grid system comprising a plurality of grids based on Geohash coding, associating administrative division and multi-source heterogeneous data with the grid system respectively, and constructing a grid layer; extracting territorial space purpose control data, carrying out entity and entity relationship initialization according to the mode layer and the grid layer, and constructing a graph layer; and establishing an application layer based on the map layer and the grid layer. Compared with the prior art, the method can support reasoning and prediction of geographic phenomena, introduces multi-dimensional information features, and effectively supports business application.

The invention discloses a GIS (Geographic Information System) big data processing storage and real-time rendering method based on HBase, which belongs to the technical field of general geographic information systems, and comprises the following steps: S1, accessing original geographic space data, partitioning the original geographic space data based on GeoHash, and carrying out vectorization loading to obtain service vector data; s2, carrying out hierarchical splitting on the service vector data by utilizing a pyramid model, and carrying out attribute or space aggregation on the split vector data; s3, storing the aggregated vector data into an HBase (Hadoop Base); and S4, according to an input loading range, obtaining the aggregated vector data from the HBase, and performing real-time rendering. Vector data in geographic data are loaded to the HBase, retrieval testing is carried out, and the retrieval response time can reach the millisecond level.

The application discloses a kind of fusion and compression method of multi-source trajectory information, it is related to data processing field.The application uses the thought of smoothing analysis, by adaptive calculation angle, speed error threshold, each positioning terminal trajectory is denoised in real time;Real-time calculation window time each trajectory data quality;According to the weight of each trajectory of trajectory data quality adaptive calculation, improved exponential weighted average algorithm is proposed, the weighted average value of longitude and latitude of multi-source trajectory point is calculated as the fused trajectory coordinates;The roughness of fused trajectory in sliding time window is calculated, and the sub-block size of GeoHash algorithm is dynamically adjusted by integrating trajectory roughness, to realize efficient real-time compression under the premise of maintaining high compression accuracy.The application can realize adaptive fusion and compression of multi-source trajectory by comprehensive data quality, with the advantages of reasonable fusion weight and high real-time compression efficiency.

A data processing service executes a new forward and reverse geohashing process that is correct up to a threshold geohash precision. The forward and reverse geohashing processes described are correct for precisions up to 18, where a precision corresponds to 5 geohash bits. The forward geohashing process gives correct results for precisions up to 19, and the reverse geohashing process gives correct results for precisions up to 20. The geohashing methods described herein is configured to perform a relatively small number of floating point and integer operations to avoid the iterative nature of existing geohashing processes. Moreover, the transformations are completed in an accurate way while saving more computational power compared to existing geohash algorithms.

The invention discloses an embedded star catalogue data storage and query method oriented to a bare computer environment, relates to the technical field of embedded data query processing, solves the problem of mismatch between a DSP system structure and a star map query task in the prior art, and comprises the steps of star block storage, star block query, primary selection of star blocks in star block query and determination of navigation stars. In the star block storage, the GeoHash coding technology is adopted to take the star block as a primary key value, and a B + tree is adopted to store the star block in an easy-to-search form; a star map shot by an astronomical camera is preliminarily decomposed into primarily-selected star blocks in a partition mode, then corresponding storage star blocks in a bare computer environment are inquired respectively, and high flexibility and adaptability are achieved. The method is compatible with the GeoHash coding technology, parallel computing of a multi-core bare computer is facilitated, and the query speed can be doubled.

This invention discloses a route trajectory query method and terminal. The method obtains the binary encoding value corresponding to a latitude and longitude map and constructs a tree-like index structure based on the binary encoding value. It receives second route trajectory data, performs binary encoding on the second route trajectory data to obtain a third binary encoding value corresponding to the second route trajectory data, and searches for target route trajectory data corresponding to the second route trajectory data from the tree-like index structure based on the third binary encoding value. Unlike existing technologies that rely on GeoHash value comparison for querying, this method searches for matching route trajectories by retrieving the tree-like index structure, enabling rapid retrieval of relevant route trajectories, reducing computation time, and thus improving the efficiency of route trajectory querying.

The application discloses a kind of wisdom energy multi-energy evaluation visualization system and method for industry, it is related to energy big data visualization cross technical field, including, acquisition multi-source heterogeneous data and pre-processing, by space-time hash coding method, generate high-dimensional energy data of space-time alignment;Based on three-dimensional manifold coordinate model, the equipment energy efficiency parameter is converted into equivalent energy quality field, by energy field reconstruction and geometric optimization method, generate curved manifold space and identify optimal transmission path and distortion intensity cloud chart;Based on distortion intensity cloud chart, generate thermal color scale by thermal color scale mapping algorithm, and the three-dimensional gradient field distribution of equivalent energy quality field is rendered using ray tracing method, generate visual energy evaluation interface.The application generates space and time hash code by space-time hash coding method, establishes equipment-grid mapping relationship in combination with GeoHash coding, realizes the accurate space-time alignment of multi-source heterogeneous data.

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 invention relates to a geographic interest point retrieval method based on tree sampling and a large language model. The method is suitable for location-based service scenes such as map navigation and online travel. The core process of the method comprises the following steps of: mapping a POI geographic coordinate into a character string through Geohash coding, and constructing a prefix tree index; sampling positive and negative samples on the basis of a spatial proximity strategy of a prefix tree, and training a representation model with spatial semantic expression ability in combination with unsupervised spatial contrast loss; and recalling a candidate POI set through a vector database, constructing a Prompt template by the candidate POI set and user query, inputting a large language model after LoRA fine tuning, and completing semantic rearrangement in combination with a retrieval enhancement generation (RAG) mechanism. According to the scheme, unified modeling of geographic space and text semantics is achieved, the comprehensive matching precision of retrieval results is effectively improved, dynamic changes such as POI addition and position change can be rapidly adapted, the cross-region and cross-domain generalization ability is achieved, and a more accurate and efficient retrieval solution is provided for various position-based service systems.

The invention provides a mobile terminal security protection design method based on edge intelligence, which comprises the following steps: firstly, performing security threat assessment on a mobile intelligent terminal based on a graph and a topological potential function, and determining the importance degree of each node in a threat graph by calculating the entropy value of each node in the threat graph, thereby achieving the purpose of performing security assessment on the mobile intelligent terminal; secondly, based on the GeoHash technology of the geographic position, the mobile intelligent terminals and the Mobile nodes in the same range are organized into a group, a mobile intelligent terminal with high computing power is arranged in the group to serve as an edge server, the defect of resource information of a single edge server node is overcome by utilizing the convenience of P2P network information sharing, and the service life of the edge server node is prolonged. And sharing and distributed storage of DoS attack information are realized. And finally, the edge server counts idle resources of the standby edge server in the group in real time, when the edge server is subjected to DoS attack, attack traffic is forwarded to nodes of the standby edge server in the group, and the DoS attack is relieved through traffic load balancing, so that the safety protection capability of the edge server is improved.

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.

The invention discloses a range query method for multi-layer data with spatial attributes of a smart city, which comprises the following steps: an index construction stage: creating a spatial index table with a uniform structure for a plurality of Geohash precision levels in advance, and inserting the spatial attributes of all data layers into one or more covered Geohash cell partitions according to geometrical shapes of the spatial attributes, and meanwhile, the non-spatial attributes are independently stored. In the query execution stage, after a query request is received, an optimal Geohash precision level is dynamically selected according to a query radius, intersected Geohash cells are calculated, a candidate object set is quickly retrieved from a corresponding index table, a final result is screened out through precise geometric filtering, and finally complete attribute information is assembled. The problem that an existing NoSQL database is low in supporting efficiency for complex space query, especially cross-multi-layer joint query is solved, and high-performance and high-concurrency-range query for mass urban space data is achieved.

This application relates to Geographic Information System (GIS) technology and discloses a method for converting geofences into geohash blocks. By dynamically adjusting the bit depth of the geohash algorithm based on the approximate extent of the geofence, the accuracy of the subsequently generated geohash blocks is adapted to the specific geofence. Furthermore, by sequentially filtering geohash blocks associated with the smallest bounding rectangle of the geofence, a ray casting method is used to detect whether the filtered geohash blocks are simultaneously associated with the geofence. The geohash blocks associated with the geofence are recorded as the output, thus accurately converting the geofence into the corresponding geohash block. This application also discloses an apparatus, electronic device, and computer-readable storage medium for converting geofences into geohash blocks. The purpose of this application is to achieve accurate conversion of geofences into corresponding geohash blocks.

A data processing service executes a new forward and reverse geohashing process that is correct up to a threshold geohash precision. The forward and reverse geohashing processes described are correct for precisions up to 18, where a precision corresponds to 5 geohash bits. The forward geohashing process gives correct results for precisions up to 19, and the reverse geohashing process gives correct results for precisions up to 20. The geohashing methods described herein is configured to perform a relatively small number of floating point and integer operations to avoid the iterative nature of existing geohashing processes. Moreover, the transformations are completed in an accurate way while saving more computational power compared to existing geohash algorithms.

This invention provides a method, apparatus, electronic device, and storage medium for determining GeoHash codes. First, the minimum bounding rectangle of the region to be identified is determined. Next, the GeoHash codes corresponding to the vertex grids containing any three vertices of the minimum bounding rectangle are determined. Then, based on the GeoHash codes of the three vertex grids, a preset character table is looked up multiple times to determine the GeoHash codes of all grids within the minimum bounding rectangle. Finally, from the GeoHash codes of all grids, the GeoHash codes of each target grid that overlaps with the region to be identified are selected. In this invention, the preset character table includes 32 characters from a Base32 encoding table, and the positions of these 32 characters in the preset character table are determined based on the encoding principle of GeoHash codes. Therefore, the GeoHash codes of all grids within the minimum bounding rectangle can be determined by looking up the table. Compared to the multiple encoding conversions in existing technologies, this invention uses a table lookup method, reducing the computational load and improving the computational speed.

The invention discloses a WAN (wide area network) RTK (real-time kinematic) enhanced service resolving and broadcasting method based on GeoHash, which comprises the following steps of: coding positions of virtual reference stations in a service area to obtain a virtual reference station set; matching a nearest neighbor base station for each virtual reference station in the virtual reference station set, and carrying out base station networking; when detecting that the data of the reference station is abnormal or the newly added reference station is accessed, triggering a reference station dynamic recombination network based on GeoHash coding; and receiving a request of a moving station, and performing virtual observation data broadcasting based on GeoHash coding. According to the method, the computational efficiency challenge confronted when a large-scale base station generates high-precision differential data in real time in a wide area range is overcome, and the performance bottleneck problem of quick matching of virtual grid points and real-time broadcasting of the differential data under the scene of concurrent requests of massive users is solved.

A two-stage generated fine-grained vehicle trajectory generation method comprises the following steps: step 1) generating a region transfer trajectory under Geohash: firstly, Geohash is performed on a vehicle trajectory, and Geohash encoding corresponding to vehicle GPS coordinates is found, so that a transfer trajectory of the vehicle under Geohash coarse granularity is obtained from original data; then, a GAN model is used to learn the transfer law between different regions, so that a continuous trajectory of the transfer between Geohashes is generated; and step 2) generating a fine-grained trajectory based on driving intention: according to the generated Geohash region, a transfer trajectory in the region is determined, the predicted granularity is a transfer trajectory between roads, and the transfer trajectory is determined, and the path between road nodes is predicted. The method has the advantages that, by means of two-stage generation, the overall transfer mode and individual driving behavior are considered at the same time, the individual behavior can be modeled more finely, and the accuracy and reliability of trajectory generation are improved.

Systems and methods for receiving a set of media content items including a geohash defining a captured time and a captured location of the media content item, identifying a first subset of media content items from the set of media content items comprising a geohash that equals a precision level threshold, and identifying a second subset of media content items from the set of media content items that include a geohash that exceeds the precision level threshold. The system also includes generating a timeline media content item collection including the second subset of media content items each including a geohash that exceeds the precisions level threshold, and causing display of a media content collection interface, the media content collection interface including the timeline media content item collection.

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.

In example embodiments, methods and systems are provided, comprising: obtaining, via telematics systems of a plurality of vehicles, vehicle telematics data as the plurality of vehicles travel through one or more geographic regions; converting, from a computer processor, the vehicle telematics data into a geohash encoding format related to the one or more geographic regions; identifying, via the processor, a plurality of road intersections using the vehicle telematics data converted into the geohash encoding; identifying, via the processor, a plurality of road segments using the vehicle telematics data converted into the geohash encoding of the one or more geographic regions; and generating, via the processor, a road network map of the one or more geographic regions including the plurality of road intersections and the plurality of road segments using the vehicle telematics data converted into the geohash encoding.

Systems and methods for receiving a set of media content items including a geohash defining a captured time and a captured location of the media content item, identifying a first subset of media content items from the set of media content items comprising a geohash that equals a precision level threshold, and identifying a second subset of media content items from the set of media content items that include a geohash that exceeds the precision level threshold. The system also includes generating a timeline media content item collection including the second subset of media content items each including a geohash that exceeds the precisions level threshold, and causing display of a media content collection interface, the media content collection interface including the timeline media content item collection.

The application discloses a power grid-communication network multi-source data collaborative user side fault detection method and system, comprising: acquiring power load, line parameters and multi-source data such as optical CATV flow and base station signal, and constructing a power grid and communication network physical space mapping relationship; after data preprocessing and space-time alignment, multi-scale time-frequency feature decomposition is realized through WMSST, and eight fault sensitive features such as load mutation and voltage sag are extracted; cross-network space correlation features are extracted by using MCNN, time sequence dependence is modeled by BiGRU, and feature adaptive fusion is realized by combining attention fusion layer; the model is trained, optimized and evaluated, finally, the fault type, Geohash position and influence range are output through the full connection layer and the Softmax classifier. The application solves the problems of insufficient time-space feature modeling of traditional models and poor cross-network data collaboration, and can accurately and efficiently complete user side fault research and judgment, and provide technical support for power fault rapid repair.

The invention relates to the technical field of traffic informatization, in particular to an interconversion method and system for pile numbers, longitudes and latitudes of an expressway. The method comprises the following steps: collecting highway stake numbers, longitudes and latitudes thereof and road numbers; classifying the longitude and latitude coordinate set by adopting GeoHash; establishing a sequence index of the GeoHash value and the longitude and latitude coordinate set and a sequence index of the road number and the highway stake number; on the basis of the target longitude and latitude or the target pile number, three closest continuous road piles are selected as datum points in combination with the sequence index; the road bending degree is judged based on the selected datum point, if the judgment result is a straight road, a trigonometric function right-angle side is adopted for stake mark positioning, if the judgment result is a curve road, an interpolation method is adopted for stake mark positioning, the calculated amount is greatly simplified, the conversion efficiency is improved, meanwhile, the complex road condition can be flexibly dealt with, and the method is suitable for popularization and application. And meter-scale precision real-time stake mark positioning can be realized on both a straight road and a curved road.

The embodiment of the invention provides a method and device for carrying out trajectory prediction by utilizing a trajectory prediction model based on gridding processing, a storage medium and electronic equipment, and relates to the technical field of space target trajectory prediction.The method comprises the steps that gridding processing is carried out on an earth coordinate system in a GeoHash coding mode, a trajectory coding library is constructed, and a trajectory prediction model is constructed; a unique index exists between the character string and the track point in the track coding library; based on the trajectory coding library, training a Transform model by adopting a teacher forced pre-training mode to obtain a trajectory prediction model; and performing trajectory prediction based on the trajectory prediction model. According to the method, the trajectory prediction performance of the model can be remarkably improved, and the trajectory prediction efficiency and accuracy are improved.

A system and method for creating and managing ephemeral chat rooms based on users' real-time physical location at predefined geographic Points of Interest (POIs). A mobile device determines user location and transmits a check-in payload to a backend, which assigns the user to a geographically optimized server shard using geohash and distance calculations. Public and private chat rooms are instantiated within the shard, ensuring that all related communication remains local to minimize latency and server load. Chat rooms are automatically deleted upon user checkout, inactivity, or moving a certain distance away from the POI. Friend data is cached within each shard to reduce database queries, and invitations may be issued via QR codes or links. The system achieves scalability and performance by binding location-based sessions to specific backend resources, enabling real-time interaction with significantly reduced computing and storage overhead.

The application discloses a kind of massive ship position point cloud multistage aggregation and real-time updating method, the method is used for the real-time drawing of massive ship point cloud map, comprising: constructing multistage space grid: massive ship position point cloud is divided into multistage space grid based on GeoHash coding, and multistage space index is formed;The point set in each grid in multistage space grid is calculated, and aggregated position is obtained;In the data real-time updating process of massive ship position point cloud, based on multistage space grid, real-time updating calculation is carried out to aggregated position;According to current map browsing position and map scale, determine aggregation level, and query the aggregated position of corresponding level from multistage space grid;The aggregated position obtained by query is carried out neighborhood merging operation, and the final aggregation result is obtained;The final aggregation result is drawn in symbolic form on map, and the multistage aggregation and real-time updating of massive ship position point cloud are completed.

The invention provides a GeoHash code determination method and apparatus, an electronic device and a storage medium. The method comprises the steps of firstly determining a minimum enclosing rectangle of a to-be-identified region; then determining GeoHash codes corresponding to vertex grids where any three vertexes of the minimum enclosing rectangle are located; then, on the basis of the GeoHash codes of the three vertex grids, a preset character table is looked up for multiple times, so that the GeoHash codes of all the grids in the minimum bounding rectangle are determined; and finally, from the GeoHash codes of all the grids, screening out the GeoHash code of each target grid which is overlapped with the region to be identified in position. In the invention, the preset character table comprises 32 characters in the Base32 coding table, and the positions of the 32 characters in the preset character table are determined based on the coding principle of GeoHash coding, so that the GeoHash codes of all grids in the minimum enclosing rectangle can be determined by looking up the table, and compared with multiple coding conversion in the prior art, the coding efficiency is improved, and the coding efficiency is improved. By adopting a table look-up mode, the calculation amount is reduced, and the calculation rate is improved.

The invention relates to the technical field of routing communication, in particular to a wired water meter communication positioning method taking water consumption point geographic information as an index, which comprises the following steps of: 1, acquiring geographic longitude and latitude coordinates of all irrigation water consumption points in an irrigation service area, establishing a mapping record of each irrigation water point in a geographic index register of the concentrator; 2, constructing a communication topological graph by taking all leaf nodes as vertexes and taking a wired communication cable physical connection relationship as a communication topological edge, determining a complete communication path with the minimum path cost as an optimal dynamic communication route after pheromone updating iteration, and writing the optimal dynamic communication route into a dynamic routing table of the concentrator; and 3, positioning a corresponding space address code and a communication equipment identifier from the mapping record of the geographic index register by taking the Geohash binary code string of the specified irrigation water point as a retrieval key. According to the method, structured association retrieval of the geographic position and the communication address and routing direction guidance driven by spatial coding are realized.