15 results about "Spatial query" patented technology

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.

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.

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.

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 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.

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 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 application discloses a method and system for segmenting multi-layer coupled transmission lines, wherein the method comprises: obtaining geometric data of each layer of transmission lines to construct a planar geometric object, and establishing an index structure for spatial query according to layers; obtaining a candidate transmission line set located in a spatial query range corresponding to a target transmission line through the index structure; and performing geometric relation judgment on the candidate transmission line set to screen out a coupled transmission line set satisfying a preset coupling condition from the target transmission line; selecting a transmission line in the coupled transmission line set as a reference transmission line, projecting the remaining transmission lines in the coupled transmission line set along the direction of the reference transmission line to obtain a group of projection line segments with consistent directions; finding at least one interval with an overlapping projection relation in the group of projection line segments to form a co-projection interval group; and reversely mapping the co-projection interval group to the corresponding target transmission line to perform coupling section segmentation processing on the transmission lines.

The application discloses a power line building change detection method and device, terminal equipment and storage medium, and relates to the field of target change detection. The method comprises the following steps: inputting a building map of a to-be-detected area and real-time remote sensing images into a building change detection model to extract scale-enhanced map features of the building map and scale-enhanced image features of the real-time remote sensing images; performing linear mapping on the spatial dimensions of the scale-enhanced map features and the scale-enhanced image features; performing cross-modal spatial enhancement and cross-channel attention interaction on the scale-enhanced map features and the scale-enhanced image features according to a spatial query vector, a spatial key vector and a spatial value vector to obtain channel-enhanced map features and channel-enhanced image features, and identifying changed buildings. Through the implementation of the application, the problem that the prior art only relies on pixel-level visual differences between images and cannot effectively distinguish illegal buildings from seasonal vegetation replacement is solved, and the accuracy of building change detection is improved.

The application relates to the technical field of geographic information systems, spatial data management and intelligent retrieval, and particularly discloses a grid spatial index method and system based on structured spatial relationships. The grid spatial index method based on structured spatial relationships comprises the following steps: S1, data preprocessing; S2, grid spatial relationship calculation; S3, data storage and storage; S4, influence range grid and ground object attribute data association; S5, rapid retrieval and multi-condition combination screening; and the system comprises: a data preprocessing module; a grid spatial relationship calculation module; a data storage and storage module; a data association module; a retrieval and screening module; and a dynamic maintenance module. Through the combination of spatial relationship attribute precalculation and grid indexing, complex spatial calculation is prepositioned to the data preprocessing stage and stored in a structured field, real-time geometric operation is not required, spatial queries can be quickly responded to, and the problems of low query response efficiency and difficulty in supporting high-concurrency requests are solved.

This invention provides a visualization and association method and system for multi-scale models in materials simulation, relating to the interdisciplinary fields of computer graphics and materials science. First-principles calculations, molecular dynamics, and phase-field data are normalized into an internal MDT format, preserving physical coordinates to lay the foundation for subsequent alignment. An octree is constructed using user-defined regions of interest to enable rapid spatial queries, supporting immediate location of associated microscale models by clicking on any position in the phase field. To address the issue of excessively small microscale models, solutions such as thumbnail anchors, semi-transparent zoom, and automatic LOD are provided, balancing realism and readability. It supports both downward exploration from macro to micro and upward tracing from micro to macro, forming a complete cross-scale interactive loop. It integrates data import, spatial configuration, index construction, and rendering interaction, without relying on other commercial software, and features a simple and intuitive interface.

This application discloses a method and apparatus for determining power carbon attribute factors, comprising: acquiring power carbon attribute factors of one or more power supply nodes associated with the power grid; for each power supply node, determining its corresponding geographic power supply range in a geographic information system, and storing each geographic power supply range in a database in the form of corresponding spatial surface data, while using the power carbon attribute factor as an attribute associated with the corresponding spatial surface data to construct a spatial database containing the association between geographic power supply range and power carbon attribute factors; acquiring the geographic spatial location of a specified terminal consumption point; performing a spatial query in the spatial database based on the geographic spatial location of the specified terminal consumption point to determine that the specified terminal consumption point belongs to one or more geographic power supply ranges; and determining the power carbon attribute factors associated with the geographic power supply range to which the specified terminal consumption point belongs as the power carbon attribute factors applicable to the specified terminal consumption point.

Embodiments of the present disclosure relate to a method, apparatus, electronic device and computer program product for video processing. The method comprises determining a temporal feature and a spatial feature of a video. In addition, the method further comprises generating a text output corresponding to the video based on the temporal feature and the spatial feature using a spatio-temporal query conversion module, the spatio-temporal query conversion module comprising a temporal query and a corresponding temporal expert network and a spatial query and a corresponding spatial expert network. Thus, by utilizing the spatio-temporal query conversion module, embodiments of the present disclosure can effectively generate a spatio-temporal semantic alignment representation of an input video, enhance the visual language alignment capability of a video processing model, make it better understand the video content, and thus improve the effect of the video processing model.