165 results about "Spatial partition" patented technology

The invention relates to the technical field of crustal stress field data processing, in particular to a crustal stress field three-dimensional dynamic inversion method based on a multi-scale adaptive algorithm. The method comprises the following steps: acquiring a geological data set of a target area; constructing a crustal stress field three-dimensional initial model based on the geological data set, and performing geologic body space division and mesh generation to obtain crustal stress field three-dimensional mesh model data; performing multi-scale region division on the crustal stress field three-dimensional grid model data, and establishing a multi-scale weighting function to obtain multi-scale partition mapping information; and constructing a cross-scale boundary adaptive transmission mechanism, and establishing a stress tensor continuity constraint model at a multi-scale partition boundary to obtain cross-scale stress boundary coupling data. Through a multi-scale adaptive algorithm and dynamic closed-loop optimization, high-precision, dynamic and continuous inversion of a crustal stress field in a complex geologic structure is realized.

The invention relates to the crossing field of the crowd sensing technology and the artificial intelligence technology, in particular to a crowd sensing task scheduling method and system based on multi-space modeling and fairness reinforcement learning, and the method comprises the steps: constructing a multi-layer space task structure of ground and air cooperation according to an obtained task; establishing a topological correlation model between tasks according to a space region division result, and determining a priority sequence of task scheduling through a critical path extraction mechanism; constructing a differentiated agent matching strategy, and performing reasonable configuration of a critical path task based on a priority sequence; performing dynamic allocation on non-critical path tasks by utilizing a fairness perception multi-target scheduling algorithm; according to the method, the search space is reduced through a space division and path screening mechanism, the task completion rate and the overall scheduling performance of the system are improved, and the method is suitable for efficient resource allocation requirements in a multi-space collaborative awareness task scene.

The invention discloses a building live-action three-dimensional reconstruction system based on point cloud data, and relates to the technical field of building live-action three-dimensional reconstruction, the building live-action three-dimensional reconstruction system comprises a preprocessing module, a multistage adaptive noise filtering module, a semantic and geometric joint reasoning module and a three-dimensional model generation module which are connected in sequence; the preprocessing module is used for receiving original building point cloud data, performing registration and initial space division, and outputting a registered point cloud data set. According to the building live-action three-dimensional reconstruction system based on the point cloud data, by introducing a multi-stage adaptive noise filtering and semantic geometry joint reasoning cooperation mechanism, the contradiction that noise elimination is inaccurate and feature details are easy to lose in a complex building scene in an existing method is effectively solved. The system can intelligently distinguish the real discrete noise from the inherent complex geometric features of the building, and maintains the integrity of the details such as decorative members and curved roofs to the greatest extent while ensuring the denoising effect, thereby achieving the high-fidelity point cloud data preprocessing.

The application discloses a kind of big data-based optimization analysis method and system of territorial space planning, it is related to big data and optimization analysis technical field of territorial space planning, including real-time data acquisition and dynamic preprocessing, dynamic regional division, multi-model integrated space-time prediction, multi-objective dynamic optimization planning, real-time feedback and adaptive adjustment.The big data-based optimization analysis method of territorial space planning provided in the application adopts space-time weighted fuzzy clustering method, divides the territorial space into several sub-regions according to the spatial coordinates and time attributes of data, constructs the weighted distance regular objective function between data points and regional center, and updates the membership and the position of regional center iteratively, realizes the self-adaptation and space-time smoothing of regional segmentation, effectively captures the dynamic change characteristics in region.

The invention discloses an indoor high-precision positioning system and method based on a UWB technology, and particularly relates to the technical field of positioning, and the system comprises a region division module which divides an indoor space into N dynamic region units based on the structural layout of a building and the coverage range of UWB anchor nodes; establishing a bidirectional mapping relationship between the region and the UWB tag by taking the key building nodes as boundaries; each area unit is associated with moving track data of the label, a space encoder is introduced to generate an area feature vector, and an original three-dimensional coordinate is obtained to represent the positioning characteristic of the area; according to the method, multi-source data of the UWB signal layer data, the motion sensing layer data and the environment sensing layer data are analyzed and processed, the superposition error of environment reflection and hardware deviation is effectively reduced, and the geometric convergence precision of position calculation can be remarkably improved in a complex space.

The invention discloses a territorial space planning optimization analysis method and system based on big data, and relates to the technical field of big data and territorial space planning optimization analysis, and the method comprises the steps: real-time data collection and dynamic preprocessing, dynamic region division, multi-model integration space-time prediction, multi-target dynamic optimization planning, and real-time feedback and adaptive adjustment. According to the homeland space planning optimization analysis method based on the big data, a space-time weighted fuzzy clustering method is adopted, homeland space is divided into a plurality of sub-regions according to space coordinates and time attributes of the data, and a weighted distance regular objective function between a data point and a region center is constructed, so that the homeland space planning optimization analysis is realized. And the membership degree and the position of the center of the region are updated through iteration, so that self-adaption and space-time smoothing of region segmentation are realized, and dynamic change characteristics in the region are effectively captured.

The invention discloses an ocean space partitioning method and device, a medium and a product, and relates to the technical field of spatial data processing, and the method comprises the steps: generating a grade evaluation index based on the function attribute of an ocean space; dividing the to-be-partitioned ocean space into a plurality of evaluation units according to a set size, and obtaining original data of the evaluation units; obtaining an evaluation value and a weight of the third-level index based on the original data; obtaining a comprehensive score of the evaluation target in the evaluation unit based on the evaluation value and the weight of the three-level index; performing level division based on the comprehensive score of each evaluation target in the evaluation unit to obtain the level of each evaluation target in the evaluation unit; and taking the evaluation target corresponding to the level of the evaluation target meeting the set condition as a partitioning result of the evaluation unit. According to the invention, comprehensive and systematic evaluation of the ocean space partition can be realized.

The invention discloses a water conservancy digital twin data fusion method, system and device based on multi-source heterogeneous data dynamic alignment and a medium, and belongs to the technical field of data fusion. Performing cleaning processing, format standardization processing and timestamp alignment processing based on a time window on the data to obtain preprocessed data; performing sliding window division processing on the preprocessed data, performing regional grid numbering processing according to a space division rule, and enabling each data point to correspond to a divided time window and a space grid to obtain time-space mapping data; and performing fusion processing on the data subjected to space-time mapping according to the data type. According to the method, the fusion strategy is designed by distinguishing the data types in the fusion stage, and it is guaranteed that the fusion result can still keep high reliability and stability when facing data of different qualities and different sources.

A hierarchical acceleration structure for use in a ray tracing system. When generating a node for the hierarchical acceleration structure, the primitives in a particular portion of the 3D scene may be alternatively bounded by different shaped volumes. These bounding volumes or ‘bounding regions’ can be Axis Aligned Bounding Boxes (AABBs), although other bounding volumes can be used. The ray tracing system may use sets of two or more bounding volumes in a 3D scene to bound all the primitives within that portion. The choice of how to create sets of multiple bounding volumes within a portion of the 3D scene may be done by using a binary space partition (BSP). Different sets of bounding regions may present different amounts of surface area for a hypothetical ray entering the portion of the 3D scene dependent upon the expected ray direction or angle.

The invention provides a data management method and device based on a space-time hybrid index and a program product. The method comprises the steps of obtaining to-be-queried data; querying the double-layer index structure according to the to-be-queried data to obtain a query result; wherein the double-layer index structure comprises a first-layer index and a second-layer index, and the first-layer index is obtained by dividing a minimum containing area corresponding to each physics teaching space on the basis of a teaching behavior data set and constructing a concept hierarchy tree on the basis of each minimum containing area; the minimum containing area represents a minimum area which completely covers all activity ranges of the corresponding physics teaching space geometrically, the second-layer index is obtained on the basis of constructing a balance tree in each teaching unit, and the teaching units are used for representing the minimum containing area after the concept hierarchy tree is constructed in the first-layer index; and updating the double-layer index structure according to the teaching behavior data when determining that the to-be-queried data is the teaching behavior data based on the query result that the to-be-queried data is the non-queried data. The method can support complex space-time semantic query.

The invention discloses a system and method for improving indoor positioning precision through an AI large model, and relates to the technical field of wireless communication. The method comprises the following steps of collecting multi-source signal historical data, and performing data division on the preprocessed multi-source signal historical data for making preparations for AI model training; dividing a target indoor space into a plurality of logic partitions, numbering each logic partition and establishing a coordinate mapping relation; continuously collecting corresponding key indexes in each logic partition, and generating an environmental change index ECD according to the key indexes; the technical key points are as follows: a multi-layer model architecture technical scheme is adopted, a mode of combining basic positioning service and accurate positioning in a complex environment is realized, the service quality of most areas is ensured, a positioning result with higher precision can be provided when necessary, the effect of optimizing the resource utilization efficiency is achieved, and the positioning accuracy is improved. The problem that a traditional single model is poor in performance in a complex environment is solved.

The invention discloses a spectrum map construction method based on dual-scale fusion, relates to the technical field of spectrum map construction, and aims to improve the adaptability and characterization accuracy of a spectrum map to a complex environment by using agglomerated hierarchical clustering on sampling points; according to the method, a Voronoi diagram of random sampling points is constructed by taking a global region to be interpolated as a boundary, the Voronoi diagram is divided according to an optimal clustering result, space division and the clustering result are combined, the advantages of the Voronoi diagram in space division are fully utilized, and improvement of local precision and overall spatial resolution of a spectrum map is facilitated; the Kriging interpolation method combining the region and the global is adopted, and the local characteristics of different regions and the overall trend of the global can be fully considered, so that the interpolation error in a complex environment is reduced.

The invention provides an electromechanical pipeline intelligent layout and collision detection method based on a BIM model, and the method comprises the steps: firstly, carrying out the dynamic partitioning and weight evaluation of an available space of the BIM model based on a building structure, a functional region, a clear height requirement, a maintenance channel and other rules, and generating a space weight distribution diagram; secondly, combining electromechanical pipeline data, adopting an improved ant colony algorithm to calculate path segments in a weight navigation grid in a segmented manner, analyzing geometric conflicts between a path and a building component, an existing pipeline and a reserved hole in real time through a lightweight collision detection engine, dynamically generating an obstacle avoidance constraint and iteratively optimizing the path, and starting manual intervention if collision still exists; and finally, recording a successful obstacle avoidance scheme of manual intervention, and updating a spatial partition rule to optimize subsequent layout. According to the method, dynamic weight evaluation, real-time collision feedback and a rule self-learning mechanism are fused, so that the pipeline laying efficiency and the obstacle avoidance capability are remarkably improved, and the manual intervention requirement is reduced.

The invention relates to the technical field of collapsibility evaluation, in particular to a loess collapsibility evaluation calculation method based on image semantic segmentation, which comprises the following steps of: analyzing spatial heterogeneous characteristics of a monitoring area, adjusting sampling step length and resolution, and calculating temperature, humidity, stress and fracture form change based on parameters such as reflectivity, chromaticity and texture entropy of a remote sensing image; and judging the relationship between fracture communication and a pore structure, and completing collapsibility grading. According to the method, multi-dimensional fusion is realized through reflectivity, chromaticity and texture feature information of remote sensing images, a spatial heterostructure is automatically analyzed, a high-change area and a stable area are automatically identified in different monitoring areas, a sampling strategy is adaptively adjusted according to information distribution, and the resolution and the sampling density are linked to respond to regional dynamics. Real-time tracking and grading judgment of structural changes such as microscopic fracture extension and pore aggregation are achieved, automatic marking of spatial partition attributes and risk categories is achieved in combination with multi-source data, and spatial information content and grading types are greatly enriched.

The invention relates to the technical field of data visualization, in particular to a fluid data visualization method and system based on space-time analysis, and the method comprises the following steps: obtaining the number, coordinate and deployment duration of each sampling point, collecting rainfall, temperature, humidity and pressure, calculating credibility, eliminating low-credibility data, extracting a parameter sequence analysis trend, and generating an abnormal grade label. And constructing a trend offset factor group, identifying a high-offset variation grid, and generating a variation dynamic map sequence. According to the method, invalid or interference data is eliminated by using calculation of sampling credibility, an anomaly level label set is constructed through comparison and classification of trend change indexes and adjacent space partitions, the anomaly description capability of space-time trend change is enhanced, and an abnormal region state is calibrated through double standards of trend inversion and anomaly density, so that the accuracy of the abnormal region state is improved. Potential abnormal variation areas are effectively captured, identification codes are given, and the abnormal recognition precision and the area positioning efficiency in the fluid data visualization process are integrally improved.

The invention relates to the technical field of computer aided design, in particular to an indoor design method and system, and the method comprises the following steps: dividing an indoor space plane graph according to 100 * 100 grids on the basis of the indoor space plane graph, calculating the length, width, height, area value and position coordinate of each grid unit grid, obtaining a grid unit basic parameter table, and calculating the length, width, height, area value and position coordinate of each grid unit grid; and calculating a distance value between a central point space coordinate and an adjacent grid for each grid unit in the grid unit basic parameter table, and establishing a space grid feature matrix. According to the method, the indoor space is divided into the grid units, the spatial relation and the connection features between the grid units are calculated, the spatial feature matrix is established, and accurate quantification of the spatial layout is achieved; on the basis of a gridding space structure, distribution mapping and superposition calculation are carried out on environmental parameters such as acoustics, lighting, air circulation, temperature and humidity, comprehensive distribution characteristics of the environmental parameters are obtained, and environmental factors are comprehensively considered in space layout.

The invention provides a 3D GS and grid multi-level fusion construction method and device, equipment and a medium. The method comprises the steps that a multi-view depth map is rendered based on a 3D GS scene model; performing truncated symbol distance function fusion processing on the multi-view depth map, and reconstructing a grid model matched with the 3DGS scene model; performing multi-level detail modeling on the 3DGS scene model and the grid model, and performing space division on the 3DGS scene model and the grid model under each level based on a preset space division strategy to form a plurality of hierarchical space sub-regions; and performing data structure construction processing on the plurality of space sub-regions to generate a hybrid multi-level data structure. The high-fidelity rendering capability of the 3DGS is reserved, the Mesh geometric topology supporting capability is achieved, the problem that an existing single data structure cannot give consideration to the core pain point of high-fidelity rendering and physical simulation is solved, and rendering-interaction-simulation integrated supporting is achieved.

A coder (e.g., encoder or decoder) obtains inter-frame prediction information, for a current node of an occupancy tree representing a spatial partitioning of a volume encompassing a point cloud frame, based on a motion-compensated point cloud frame and the size of a current volume associated with the current node. The coder obtains contextual information based on the inter-frame prediction information. Based on the contextual information, the coder entropy codes an occupancy bit of an occupancy word of the current node.

The present invention provides a processing agent controller (104) for operation in an agent-based distributed simulation system (102) having a spatial partition of a simulation domain. The processing agent controller (104) is also configured to retrieve the desired information retrieved from the different partitions using a cache. The cache is filled according to the observed access mode.

This invention provides a method for spatial positioning of concrete aggregates, a device for making concrete specimens, and a method for casting concrete specimens, belonging to the field of specimen preparation technology. The positioning method establishes a three-dimensional space by collecting and building an aggregate model library. Aggregate models are automatically arranged in the space according to a preset aggregate gradation ratio and quantity. Using a preset height as a stratification benchmark, the space is divided into several layers from bottom to top, and a corresponding layer number is generated for each aggregate model based on the height of its lowest point. The outer contour of the aggregate to be positioned is projected upwards as a defined range, with the positioning point located within this range and intersecting the outer surface of the aggregate. The centroid projection line of the aggregate to be positioned passes through the positioning point or is located within the connection range of the positioning point. This yields the layer number and positioning point coordinates of the aggregate to be positioned in the specimen making device during subsequent specimen casting. This method achieves precise placement and stable positioning of the aggregates, improving the consistency of the specimen structure and the reliability of experimental data.

The invention relates to the technical field of semiconductors, in particular to a wafer-level lithium niobate quantum waveguide etching depth real-time prediction method, which specifically comprises the following steps of: dividing an etching region into a plurality of etching space partitions, and constructing an etching space partition identifier set; collecting an etching physical quantity set and plasma emission characteristic intensity, and binding the etching physical quantity set and the plasma emission characteristic intensity with the corresponding etching space partition identifiers to form an etching process characteristic sequence set; quantifying the etching rate evolution condition, and independently accumulating the etching rate to obtain an evolution result set; comparing the etching depth with a target etching depth region by region; meanwhile, the etching depth difference of the etching space partitions is judged, and the quantum waveguide position with the over-etching or under-etching risk is recognized. According to the invention, the problems of local degradation of the optical performance of the wafer-level lithium niobate quantum waveguide and reduction of the yield of devices in the prior art are solved.

The invention relates to a storage space distribution method and device, equipment and a medium, and the method comprises the steps: dividing a storage space into a plurality of blocks, and inserting block identifiers of free blocks in the plurality of blocks into a merging tree; wherein leaf nodes of the merge tree are linked according to the increasing sequence of the block identifiers; determining all continuous block segments according to the combination tree, and inserting block segment information of the continuous block segments into a distribution tree; nodes in the distribution tree correspond to the continuous block segments; in response to a space application request, querying continuous target blocks meeting the size of a space to be applied from the distribution tree; and responding to the space application request according to the continuous target block so as to realize storage space distribution. According to the technical scheme, space fragmentation is avoided, and the distribution efficiency of the storage space and the performance of the storage system are improved.

The application discloses an aircraft grid generation method and device based on conformal mapping and topological segmentation, equipment and a storage medium, relates to the technical field of computational fluid dynamics, and comprises the following steps: generating a surface unstructured grid according to an aircraft model, conformally mapping the surface unstructured grid to a parameter domain plane grid through Ricci flow, and calculating the compression rate of the parameter domain plane grid; if the compression rate is less than a first threshold value, extracting an isoline corresponding to a second threshold value; locating a triangular grid corresponding to an isoline discrete point in the parameter domain plane grid by using a spatial partition algorithm, inserting the discrete point into the grid according to the vertex distance and edge distance relationship, forming a closed internal boundary through a one-dimensional boundary recovery operation, and determining a corresponding region; inversely mapping the region back to a three-dimensional surface, updating the surface grid, and repeating the mapping and judging steps until the compression rate meets the requirement, and setting the parameter domain plane grid as a target aircraft grid, so that the efficiency of generating the aircraft grid is improved.

The invention provides a method for establishing a spatial LCA data set, and relates to the technical field of life cycle evaluation and environment management, and the method comprises the steps: determining a data set target and a corresponding product / service, and defining a system boundary, a region boundary, a time boundary and a data quality requirement; then collecting basic unit process data including input / output streams and geographic positions; making a space division rule (including a space range, a grid shape and granularity) according to a region boundary and an application scene, and generating a grid system; attributing the basic unit data to the corresponding grids through space matching; aggregating the data in the grids according to a weighted average algorithm and other synthesis rules to generate synthesis unit process data; associating the grid geographic position identification to form grid unit process data; and finally, storing the original data and processing records in standard formats such as ILCD / EcoSpold2 and the like. The time-space consistency, traceability and multi-scene adaptability of data are ensured through a systematic process, and the method is suitable for the fields of environmental evaluation, carbon accounting and the like.

The invention provides a satellite communication power adaptive regulation and control method, system and device, and the method comprises the steps: dividing a space to which satellite communication belongs into a plurality of space grid regions according to a preset space division scale; acquiring satellite sensing data, space weather data and near-earth weather data in each space grid region to determine communication link loss evaluation data corresponding to each space grid region; generating spatial interference summary information according to the loss evaluation data and the location data corresponding to each spatial grid region; and adjusting the transmitting power of satellite communication in each space grid area according to the space interference summary information. According to the method and the system provided by the invention, the loss evaluation data is determined by collecting the weather data in the space region and the near-earth region, and the dynamic self-adaptive adjustment of the satellite transmitting power in each space grid region is realized based on the loss evaluation data, so that the reliability of satellite communication in a complex space environment is improved.

The present invention discloses a method for dividing the space of a building park into multi-level rectangular grids and encoding, which relates to the technical field of spatial data processing. The present invention includes: S1. Strictly divide the entire building park according to the number of building floors in terms of elevation, and assign an interpretive 11-bit code, and record the 11-bit code as code A; S2. Sequentially divide the first floor from bottom to top, and there is no nesting relationship between the divided blocks, and the number of divisions is not strictly limited, and then assign it a 4-bit code, and record the 4-bit code as code B; S3. Project the building on a two-dimensional plane composed of the X and Y axes, and divide it with different non-overlapping rectangles; S4. The space block code inside the building = code A + code B + code C. The present invention divides the original space into multi-level space grids of different sizes and performs interpretive encoding on them, so as to finely describe the internal space of the building and accurately analyze its location in the space according to the code.

Systems and methods for providing a Spatially Partitioned Ideally Chunked Entity (“SPICE”) tree data structure are provided herein. In an example, a computerized method for using a SPICE tree includes determining a document defined by a SPICE tree data structure and navigating to content within the document based on the SPICE tree data structure. The SPICE tree data structure includes a root chunk containing radar nodes and a plurality of chunks. Each chunk includes one or more object nodes, each of which corresponds to a document attribute. Each of the radar nodes includes a reference to one of the chunks and the object nodes include a placeholder node that provides a reference to another chunk based on a position of the placeholder node within the respective chunk. The root chunk and the chunks are arranged in a hierarchical arrangement with the root chunk being a parent to the chunks.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for partitioning object orientation space into subspaces to eliminate pose ambiguity. One of the methods includes receiving a request to generate a predicted pose of the object. Using data representing M base pose subspaces that partition the object orientation space of the object and one or more images of the object from one of more respective viewpoints belonging to the base pose subspace, generating a predicted pose for each base pose subspace from features obtained from the images of the object. A final predicted pose is provided by computing a respective confidence value for each predicted pose for the M base pose subspaces.

A graphics processing unit (GPU) (105) or other device includes multiple shader engines (140-143). The device includes a first front-end (FE) circuit (150) and one or more second FE circuits (151). In a first mode, the first FE circuit is configured to schedule geometry workloads for the shader engines. In a second mode, the first FE circuit is configured to schedule geometry workloads for a first subset of the multiple shader engines, and the one or more second FE circuits are configured to schedule geometry workloads for a second subset of the multiple shader engines. Optionally, a partition switch (165) is configured to selectively connect the first FE circuit or the one or more second FE circuits to the second subset of the multiple shader engines depending on whether the device is in the first mode or the second mode.

The embodiment of the invention provides an eMMC log dynamic hierarchical storage management method, system and device and a storage medium, and belongs to the technical field of computers. According to the scheme, an eMMC storage space is divided into a plurality of log partitions; performing proportional processing according to the residual erasure period and the rated erasure period of each log partition to obtain a corresponding residual life index; based on the partition wear level threshold value, partition level division processing is carried out according to the remaining life index, and the partition wear level is obtained; determining a currently used partition from a plurality of log partitions according to the partition wear level; a log level is set according to the partition wear level corresponding to the currently used partition, and the log level is used for determining the lowest log level allowed to be written into the currently used partition; and performing log storage management according to the log level and the current log level of the log information. According to the invention, the overall service life of the eMMC can be prolonged, and the resource utilization rate is optimized.