42 results about "Spatial query" patented technology

The invention relates to a three-dimensional structure displacement stress field prediction method based on a point cloud neural operator, a medium, equipment and application. The method comprises the following steps: constructing a neural operator model for predicting a structure physical field; collecting geometric feature data of the three-dimensional structure and corresponding working condition data; training the neural operator model by using the acquired data and the query position of the internal space of the three-dimensional structure; inputting geometric feature data and working condition data corresponding to the three-dimensional structure into the trained neural operator model, and querying any spatial position in the three-dimensional structure to obtain a displacement predicted value and a stress predicted value at the corresponding position; media and equipment are realized based on the method and are applied to jet engine support displacement stress field prediction. The method can be directly used for a non-parametric complex three-dimensional structure, continuous prediction of a displacement field and a stress field of any spatial query position in the structure is achieved, the structure response prediction efficiency is remarkably improved, the calculation cost is reduced, and the method has good engineering application value.

The invention relates to a remote sensing image data processing method and system based on a Spark architecture, and belongs to the technical field of remote sensing image data processing. The method comprises the following steps: converting a collected original file into a COG format, constructing a hybrid index through a spatial dimension reduction technology, extracting metadata and establishing a metadatabase; based on the hybrid index, quickly positioning a target tile through spatial query, reading a data block, and constructing a TileLayerRDD of a spatial partition in a Spark cluster; and dynamically assembling and calculating the directed acyclic graph according to the algorithm warehouse template, and submitting the directed acyclic graph to a Spark cluster for distributed memory calculation. According to the method, rapid retrieval is achieved through the COG format and the mixed index, pre-slicing is replaced with Spark distributed computing, the storage pressure is greatly reduced, and on-demand real-time analysis and high-concurrency online service of mass remote sensing data are finally achieved through micro-service and elastic resource scheduling.

The invention discloses a multi-source heterogeneous data integration analysis treatment method, system and device and a medium, and the method comprises the steps: obtaining multi-source heterogeneous original data, carrying out the semantic mapping through a power grid business ontology library, and carrying out the coordinate dynamic normalization through a self-adaptive conversion matrix, and obtaining standardized spatial data; carrying out spatial query, dynamic buffer area calculation and protection area grading fusion through a spatial superposition optimization algorithm, and carrying out topological relation identification and regularization processing on the power line and an external linear ground feature to obtain a spatial conflict analysis result; through a three-level conflict resolution mechanism, recognition and cooperative resolution operation of geometry, attribute and temporal conflicts are carried out, and a resolved compliance space data set is obtained; and performing governance flow driving and rule adaptation through a dynamic business rule engine to obtain a spatial data governance report. According to the method, efficient integration and intelligent treatment of spatial data in the power transmission line project are realized, the data processing timeliness is remarkably improved, and spatial conflicts are eliminated.

This invention discloses a dual-stream point cloud compression method and system based on semantic scene graphs, relating to the field of point cloud compression. It constructs a point cloud compression network comprising an encoder network and a decoder network: In the encoder network, semantic labels are mapped onto the input point cloud, and scene graphs and octree representations are constructed respectively. Semantic modulation parameters are generated based on the scene graph and encoded to obtain a semantic bitstream. The octree representation, under the influence of semantic modulation parameters, undergoes feature enhancement and attention probability prediction to obtain node occupancy probabilities, and a geometric bitstream is generated through arithmetic encoding. These two bitstreams serve as compressed data. In the decoder network, the bitstreams are decoded, and the octree structure and scene graph information are reconstructed. Node feature representations are recovered by combining the semantic modulation parameters. The reconstructed octree structure is mapped back to the point cloud space through spatial querying and indexing to reconstruct the point cloud. This invention solves the problem of local geometric distortion in low-bitrate octree point cloud compression, ensuring reconstruction quality while reducing the transmission bitrate.

Computer-implemented systems and methods monitor financial risk monitoring using geospatial data. The system includes a data ingestion pipeline that processes heterogeneous geospatial data, normalizes the data into a common spatial reference framework, and applies hierarchical spatial indexing. The indexed data is stored in a geospatial database configured to maintain metadata and alert rules. A financial system stores information linking financial instruments and portfolios to geospatial regions. An application programming interface (API) layer enables spatial querying, rule-based alert evaluation, and notification delivery. A user interface subsystem deployed on client devices facilitates interaction with the system through graphical dashboards, programmatic tools, or natural language inputs. The system supports real-time monitoring and automated alerting based on spatial triggers and financial exposure thresholds, enabling decision-making for risk-sensitive financial domains. The architecture supports high-throughput processing, flexible deployment, and integration with external financial systems and workflows.

The invention relates to the field of data query, and discloses a space grid data query method based on AABB and KDTree composite index, comprising the following steps: step 1, acquiring simulation data of a part, establishing a space mapping relationship between the simulation data and a geometry of a die casting, and performing AABB space division on the geometry, the AABB space including primary AABB space division and secondary AABB space division; the primary AABB space division divides the geometry of the die casting into a plurality of topologically associated sub-regions; the sub-region is divided into a plurality of tetrahedron units by the secondary AABB space division; performing binary tree structure recombination on the tetrahedron units in the sub-regions by adopting KDTree; and 2, judging whether the target coordinate point is in the sub-region or not, traversing the tetrahedron unit of the sub-region, and remarkably reducing the calculation complexity and improving the spatial query efficiency of the large-scale grid model by introducing a spatial index structure and an algorithm optimization strategy.

The invention provides an Internet of Things security protection method and system for Internet of Vehicles intrusion detection, and the method comprises the steps: preliminarily discriminating vehicle internal network data and vehicle-to-outside information exchange data through a built-in detection system of a vehicle, and generating a local abnormal event with confidence; then, the preliminary detection result is confirmed through an Internet of Vehicles regional cooperation mechanism, and a fine-grained space query and verification mechanism taking a vehicle captured image as a reference is introduced, so that accurate discovery and association of abnormal network events and physical world perception inconsistency are realized; and therefore, complex threats such as false information injection and man-in-the-middle attack can be efficiently identified and relieved.

The application provides a spatial query performance optimization method in a geographic information system, and belongs to the technical field of geographic information systems.The application adopts three-dimensional Hilbert space-time filling curve coding and memory level columnar storage format to maintain the locality of space-time data and reduce invalid memory loading, introduces a consistent hash and adaptive space grid dynamic partitioning load balancing strategy to migrate hotspot tiles to idle nodes, adaptively distributes query requests based on a deep Q network artificial intelligence space-time load routing decision model, and dynamically adjusts the strategy update mode through an adaptive exploration rate adjustment function, triggers a repartitioning process when the query response delay exceeds a threshold, and performs garbage collection on a low-frequency version chain, thereby solving the technical problem that the spatial query performance of the geographic information system rapidly decreases with the increase of the data scale in a high-concurrency streaming spatial data input scene.

The invention provides a high-performance geographic layer management method, system and device and a medium, and belongs to the technical field of geographic information systems. According to the method, a unified spatial query interface is established by constructing a dynamic and static combined hybrid spatial index system; on-demand data scheduling is realized by adopting a dynamic loading mechanism associated with a view; optimizing rendering resources through group-level state management and data batch processing; a GPU instantiation rendering technology is utilized to realize efficient drawing of massive elements; and visual processing of the spatial data is completed based on real-time aggregation analysis. According to the method, the problem of lagging of a traditional GIS system during massive element rendering and the problem of delay of dynamic data updating are effectively solved, smooth rendering and real-time interaction of million-level geographic elements are achieved, and the rendering performance and the resource utilization efficiency of the system are remarkably improved.

The invention discloses a compressed XML database type, system and method supporting efficient query, and relates to the technical field of XML databases, and the database type adopts a hierarchical compression storage architecture and a reverse search query architecture; in the storage stage, XML non-keyword information is coded through Huffman coding, recoverable ordered arrangement is carried out on the coded information through a tree structure, then transcoding is carried out, the information is stored in a disk in a binary form, and compared with a traditional XML database storage mode, at least 50% of storage space is saved. In the query stage, a reverse search mode is adopted, a corresponding Huffman code initial position is positioned through a keyword, then under the optimization effect of a reverse index, reverse search is performed to recover a complete XML structure, and the query complexity is reduced from traditional O (n) to O (1). According to the method, the storage efficiency and the query performance of the XML data are greatly improved, and the method is suitable for large-scale XML data management and application scenes.

The invention provides a point cloud three-dimensional implicit reconstruction method and device, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the multi-scale feature extraction of an original point cloud, obtaining and carrying out the cross-scale dynamic fusion processing of a micro-scale feature, a mesoscale feature and a global feature, and obtaining a fusion feature field; a multi-scale symbolic distance function value of the spatial query point is predicted based on the fusion feature field, compensation processing is carried out in combination with a shape correction term, a final implicit field value is obtained, and the shape correction term is obtained by carrying out shape prior processing on the original point cloud; and performing gradient optimization and surface reconstruction processing according to the final implicit field value to obtain a three-dimensional grid model. According to the method, through multi-scale feature extraction, feature fusion and shape correction compensation processing, the precision and robustness of three-dimensional implicit reconstruction are improved, so that the reconstructed three-dimensional grid model can more accurately reflect the geometric and topological characteristics of the original point cloud.

The invention discloses a double-flow point cloud compression method and system based on a semantic scene graph, and relates to the field of point cloud compression, and the method comprises the steps: constructing a point cloud compression network comprising an encoder network and a decoder network: in a coding end network, carrying out the semantic label mapping of an input point cloud, and respectively constructing a scene graph and octree representation; semantic modulation parameters are generated based on the scene graph and coded to obtain semantic bit streams, octree representation obtains node occupancy probability through feature enhancement and attention probability prediction under the action of the semantic modulation parameters, geometric bit streams are generated through arithmetic coding, and the two bit streams serve as compressed data; in the decoder network, bit streams are decoded, an octree structure and scene graph information are reconstructed, node feature representation is recovered in combination with semantic modulation parameters, and the reconstructed octree structure is mapped back to a point cloud space through spatial query and indexing to reconstruct a point cloud. According to the method, the local geometric distortion problem of low-bit-rate octree point cloud compression is solved, the reconstruction quality is ensured, and the transmission bit rate is reduced.

The invention belongs to the technical field of tunnel engineering, and particularly relates to a tunnel blasting scheme design method and system based on a database technology. According to the scheme, a hybrid architecture historical blasting case database comprising structured data and spatial data is constructed, and a progressive retrieval engine and a scheme generation algorithm are combined; the innovation of tunnel blasting design from experience dependence to data driving is realized; according to the scheme, structural features such as blasting parameters and geologic features are deeply fused with spatial features, a proposed progressive retrieval engine is combined, the spatial query efficiency is effectively improved, meanwhile, the matching degree of a reference case and an actual scene is improved, and meanwhile, the matching efficiency of the reference case and the actual scene is improved. According to the scheme, a tunnel blasting scheme generation normal form integrating benchmark maintenance, parameter optimization and expert verification is provided, so that the accuracy of the generation scheme is guaranteed, and meanwhile, the generation scheme can better adapt to an actual scene.

The invention discloses an inspection defect duplicate removal method based on target detection and space coordinate conversion, and relates to the field of unmanned aerial vehicle inspection and artificial intelligence. The method comprises the following steps: acquiring a detected object image, synchronous POS data and lens attitude data through an unmanned aerial vehicle, outputting defect information through a pre-trained target detection model, and mapping defect pixel coordinates into WGS-84 longitude and latitude as a unique space identifier in combination with camera parameters; a circular buffer area index of a dynamic space threshold R is constructed, duplicate removal is achieved through space query, category judgment and confidence coefficient comparison, and duplicate records are written into a redundant log table for model iterative optimization. The method solves the problems of repeated alarm, insufficient positioning precision and single de-duplication logic in the prior art, has the advantages of accurate de-duplication, high adaptability and high efficiency, realizes closed-loop optimization, and is suitable for unmanned aerial vehicle inspection of large infrastructures such as power lines and bridges.

This invention provides a data spatial query method, apparatus, electronic device, and computer-readable storage medium. The data spatial query method provided by this invention includes: acquiring target business data; constructing a spatial field based on the latitude and longitude data of the target business data; importing the spatial field into a preset index; acquiring the latitude and longitude data of two diagonal vertices within a visualized map area; determining a data query range based on the latitude and longitude data of the two diagonal vertices; acquiring a geographic grid based on the data query range and the shrinkage ratio of the visualized map; and aggregating and statistically analyzing the target business data within the geographic grid area based on the spatial field to obtain query results. The data spatial query method provided by this invention can aggregate points on a large number of maps and respond promptly to the aggregation.

The invention belongs to the technical field of geographic information data query, and provides a cross-network geographic information security query method and device, equipment and a medium, and the method comprises the steps: obtaining a geographic spatial data query request of an extranet user; performing data verification on the geographic spatial data query request to obtain planar geometric data of a query target, the planar geometric data including a first coordinate system; sending the first coordinate system of the planar geometric data to an internal network and converting the first coordinate system to obtain a second coordinate system; executing spatial query on a target layer of the geographic spatial database according to the second coordinate system to obtain a first query result; and processing the first query result according to a preset desensitization rule to obtain a second query result, and returning the second query result to the extranet user. The cross-network geographic information query method has the beneficial effect that the cross-network geographic information query security and accuracy are improved.

This invention relates to the field of industrial internet technology and provides a method for triggering events in industrial internet building spaces, comprising the following steps: S1: setting data management rules for data flow during building space event triggering in the order of responsible object, responsible scope, and responsible content; S2: when a building space query event is triggered, calling the data management rules to generate a corresponding data viewing permission scope and pushing it to the responsible object, or when a building space management event is triggered, calling the data management rules to generate a message push strategy to obtain the responsible object for the next process, so as to push management data to the responsible object. By optimizing the data management rules, precise control of data permissions, flexible and easy-to-use rule configuration, and intelligent and efficient rule activation logic are achieved, thereby improving the automation and intelligence level of the entire event triggering process and meeting the increasingly complex management needs of modern industrial internet building spaces.

This invention discloses an image loading method, apparatus, electronic terminal, and storage medium. The method includes: responding to a loading event of a target image, determining an image identifier at at least one resolution based on its Uniform Resource Locator (URL); determining a target identifier corresponding to the loading event from the image identifiers, and sequentially determining a current query identifier in descending order of the corresponding resolution, starting from the target identifier; repeatedly querying the target image from a preset storage space based on the current query identifier until the query is successful, or the current query identifier corresponds to the lowest resolution and the query fails; if the query is successful, loading the queried target image; if the current query identifier corresponds to the lowest resolution and the query fails, downloading and loading a target image at a preset resolution (where the preset resolution is lower than the lowest resolution). This method can eliminate the time-sensitivity of cached images, avoid repeated waiting for image loading in different scenarios, and reduce user waiting time.

The embodiment of the specification discloses a kind of electronic map spatial query data processing method, device, equipment, medium and product, method includes: obtaining the multiple historical spatial query SQL information of spatial query for electronic map;Determine whether the query time consumption of the multiple historical spatial query SQL information exceeds preset threshold;The historical spatial query SQL information of the query time consumption exceeding the preset threshold is determined as first spatial query SQL information;Determine the accuracy of the spatial query based on the attribute information of the first spatial query SQL information;The attribute information of the first spatial query SQL information includes SQL variable value, range data, the statistical information of relevant object and SQL execution plan.The embodiment of the application can determine the accuracy of spatial query based on the attribute information of historical spatial query SQL information.

The invention discloses a scene graph sample automatic labeling method based on vector relation calculation, which comprises the following steps: importing vector data including polygon boundary information of an object, and carrying out boundary preprocessing on the vector data; constructing a Delaunay triangulation network according to the vector data, constructing a spatial index by using a spatial index tree, carrying out rapid spatial query on an object, judging whether the gravity center of each triangle falls into the boundary of a certain object, and dividing the triangles into internal triangles and external triangles; identifying a spatial relationship from the adjacent structure of the external triangle, numbering according to the spatial relationship, and obtaining a scene graph sample; and screening the scene graph samples according to the priorities, and exporting a scene graph. According to the method, the problems of high manual annotation cost, lack of interpretability of relation identification, weak structural modeling capability and the like in an existing scene graph construction method are solved.

This invention provides a spatial indexing method, system, terminal, and medium for large-scale crowd interaction computing in digital twin scenarios, relating to the field of computer simulation technology. The method includes: initializing a root node space based on the two-dimensional boundary of the simulation scene; performing recursive spatial partitioning operations based on the root node space to construct a quadtree index structure; responding to a received query request, starting from the root node space, using the root node space as the current node space, and determining whether the target query range intersects with the current node space; if so, performing geometric pruning operations; otherwise, determining the node space type of the current node space, and performing geometric intersection testing or recursive pruning traversal based on the node space type. This invention reduces the complexity of global traversal by constructing an efficient quadtree index structure and performing spatial queries starting from the root node space of the quadtree index structure through geometric intersection testing and recursive pruning traversal.

This invention belongs to the field of image processing technology and discloses a method and system for indexing the spatial interaction of crowds in a digital twin scene based on an octree. The method includes: determining a target three-dimensional space containing pedestrian data; constructing an octree corresponding to the target three-dimensional space based on an octree spatial partitioning algorithm; wherein the root node of the octree is the target three-dimensional space, and the leaf nodes are the smallest three-dimensional spaces partitioned in the octree; responding to a spatial query request, recursively traversing all nodes of the octree based on an intersection test algorithm to obtain leaf nodes that meet preset query conditions; merging the pedestrian data stored in the obtained leaf nodes, and outputting a set of potential interactive objects based on the merged result. This invention utilizes the recursive subdivision capability of the octree in three-dimensional space, and integrates intersection test algorithms for three basic geometric shapes: points, axis-aligned bounding boxes, and spheres, to achieve natural expression and efficient management of three-dimensional spatial crowd interaction data.

A database engine may track granularity levels for accessing a spatial index. Granularity levels of a spatial index may be evaluated to identify those granularity levels that identify data objects in a data set. An indication of the identified granularity levels may be stored as part of metadata for the data set. When a spatial query directed to the data set is received, the spatial index may be accessed at the identified granularity levels indicated in the metadata for the data set as part of processing the spatial query.

The application provides a micro-cluster-based skyline query method and relates to the technical field of spatial query. The method first acquires all query objects and user objects, and constructs feature vectors of all query objects and user objects; then converts the feature vectors of the query objects into one-dimensional space by using a z-value index to obtain a set of z-value representations about the query objects, and further obtains a z-value-ordered query object set; according to the characteristics of the z-value, the query objects in the query object set are pruned to obtain a new query object set; finally, a nearest covering circle is constructed for the query objects in the new query object set, the micro-cluster corresponding to the nearest covering circle is found, skyline screening is performed, and thus a skyline micro-cluster set is obtained as the final result micro-cluster set and is recommended to the user. The method returns a set of Pareto optimal solutions meeting the user query requirements in the density and distance dimensions in the form of micro-clusters.

The application provides a data query method and device of a Spark engine and electronic equipment, and relates to the technical field of data processing. In the application, in response to a data query request initiated by a target object, a task session is created for the target object; after it is determined that the task session is created, the data query request is parsed to determine a data query mode and a data volume of to-be-queried data; an initial configuration strategy is adjusted based on the data query mode and the data volume to obtain a target configuration strategy; wherein the initial configuration strategy comprises initial component configurations respectively set for each component included in the Spark engine; and the target configuration strategy is sent to the Spark engine through the task session, so that the Spark engine queries the to-be-queried data from a fixed storage space where the to-be-queried data is located based on the target configuration strategy. In this way, the data query performance of the Spark engine can better meet different data query requirements.

The invention discloses a method and system for carrying out construction site path planning based on CIM data. The method comprises the following steps: carrying out coordinate system alignment on the obtained CIM data; based on the data after coordinate system alignment, establishing a hierarchical bounding box index of spatial query; based on the established hierarchical bounding box index, in combination with planning parameters, establishing a navigation map, the planning parameters including a starting point, an end point, a collision radius and a limited height; and carrying out construction site path planning according to the established navigation map. According to the method, the feasible area, the obstacle area and the like are expressed through the CIM data, the route is reasonably planned according to the requirements of collision volume, height limitation, width limitation and the like, and the problem of planning the passage paths of transport vehicles, construction robots and personnel for a disordered and changeable construction site is solved.

The invention relates to the technical field of power equipment state monitoring and three-dimensional visualization, and discloses a GIS partial discharge real-time three-dimensional visualization diagnosis and positioning integration method, which comprises the following steps: S1, constructing a GIS digital twinborn model; s2, performing multi-source acquisition on partial discharge signals by adopting an ultrahigh frequency and ultrasonic sensor, and performing real-time transmission through WebSocket after wavelet denoising and feature extraction; s3, mapping the discharge amplitude and frequency to the surface texture of the model based on a Three.js shader, and calculating the coordinates of a discharge point by using a fusion positioning method; s4, constructing a multi-dimensional interaction analysis function; and S5, intelligent retrieval positioning based on BERT semantic analysis and R * tree index is provided. Through multi-source data fusion and a three-dimensional visualization technology, positioning and dynamic display of partial discharge are realized, space query, time backtracking and working condition simulation are supported, and the operation and maintenance efficiency is improved in combination with intelligent retrieval.

The application discloses a kind of fast spatial query methods for multi-resolution fragmentation DEM image, comprising the following steps: S1, the polygon point set specified by user is rearranged, and forms clipping polygon;S2, according to the spatial relationship of clipping polygon and DEM image tile, determine the DEM image tile that needs to be sliced to obtain intersection tile set;S3, the intersection tile set obtained in S2 is split into independent tasks according to DEM image tile, and is distributed to multiple processor cores and is processed in parallel simultaneously, and each core is responsible for a part of DEM image tile slicing;S4, the in-edge local merging of the DEM slice result corresponding to each edge of clipping polygon is carried out;And the result is merged across the edge globally with the DEM image tile contained in polygon, to obtain the final slice result.The method of the application improves the efficiency of DEM image slicing by parallel processing and using the computing power of multi-core processor.

This application discloses a method and system for segmenting multilayer coupled transmission lines. The method includes: acquiring geometric data of each layer of transmission lines to construct a planar geometric object, and establishing an index structure for spatial query by layer; obtaining a set of candidate transmission lines located within the spatial query range corresponding to the target transmission line through the index structure; judging the geometric relationship of the candidate transmission line set and selecting a set of coupled transmission lines that meet the preset coupling conditions with the target transmission line; randomly selecting one transmission line from the set of coupled transmission lines as the reference transmission line, and projecting the remaining transmission lines in the set of coupled transmission lines along the direction of the reference transmission line to obtain a set of projection line segments with the same direction; finding at least one interval with an overlapping projection relationship in the set of projection line segments to form a co-projection interval group; and mapping the co-projection interval group back to the corresponding target transmission line to perform coupled segmentation processing on the transmission line.

The invention relates to an intelligent high-speed-oriented spatial semantic retrieval agent construction method. The method comprises the following steps: constructing an entity segmented word library based on multi-source high-speed traffic spatial information data; for each entity in the entity segmentation library, converting different source names and coordinates of the entities into vectors, and constructing a vector library; the big language model obtains user inquiry information, entity information is extracted based on a segmented word library, and an entity recognition candidate set is obtained; vector representation of entities is extracted from a vector library on the basis of the entity recognition candidate set, retrieval and reasoning of entity relations are conducted on the basis of the knowledge graph, and the entity recognition candidate set and information obtained from the vector library and the knowledge graph serve as background information of space retrieval; and converting the background information into a heterogeneous engine scheduling instruction set, and calling a dynamic execution routing graph of the multi-dimensional space query to obtain a retrieval result. By means of the method, the spatial information retrieval problem can be efficiently solved, ambiguity in entity recognition can be eliminated, and the complex spatial query process can be processed.