203 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 distributed storage system, a space allocation method and device, electronic equipment and a nonvolatile storage medium, and is applied to the technical field of storage. The method comprises the steps that a storage space is divided into a plurality of storage areas with the same storage capacity and continuous addresses in advance, and the corresponding relation between storage bitmaps and the storage addresses of corresponding storage units is persisted to the storage space; the bits of the storage bitmap indicate whether the state of the corresponding storage unit is an idle state or an allocated state. And in a storage node starting process, determining a target storage area in an idle state in the storage space according to the corresponding relationship, and loading bitmap information corresponding to the target storage area into a memory. According to the method and the device, the problems of excessive memory occupation and low service recovery speed in related technologies can be solved, less memory can be occupied when the PB-level space is managed, meanwhile, the loading time during node restarting is shortened, and the recovery speed of node operation services is effectively improved.

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 a forging and pressing prediction model training method, and relates to the technical field of equipment manufacturing, and the specific implementation scheme is as follows: obtaining simulation data of a forging and pressing simulation model corresponding to a forging and pressing workpiece; dividing the forging simulation model and the space where the forging simulation model is located into multiple layers of space units, and enabling each space unit to have two attributes of geometrical shape and stress; on the basis of the simulation data, matrixes of different channels are adopted to represent the geometrical shape and the stress attribute of each space unit, and a sample data set is obtained; and based on the sample data set, training the initial forging and pressing prediction model to obtain a trained forging and pressing prediction model. And a reliable implementation means is provided for predicting forging and pressing by machine learning.

The invention discloses a relaxation time evaluation method and system applied to a radiation band modeling process, and solves the technical problem that the distribution and relaxation time of high-energy particles in a radiation band cannot be accurately reflected in the prior art. Comprising the following steps: firstly, dividing a space into three-dimensional grids; secondly, establishing a local coordinate system; then, high-energy particles with different angles and different energies are put into the grid points, and the motion state of the high-energy particles is tracked; then, counting particle distribution states at different time intervals, and generating a particle distribution image; establishing a function of relaxation time of the high-energy particles by comparing particle images at different times; and finally, calculating relaxation time under different space weather conditions, and establishing a database containing the function relationship between the input parameters and the relaxation time. The spatial range of the method can obviously cross a radiation band and a near-earth space, and the calculated relaxation time can provide necessary technical support for communication, navigation and the like.

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 embodiment of the invention provides an interaction method and device in a virtual scene, equipment and a computer readable storage medium. The method comprises the steps that the electronic equipment receives a request for creating a virtual object in a virtual scene; dividing a target space in the virtual scene into a plurality of subspaces based on the spatial distribution / segmentation information corresponding to the virtual object; and based on the voxel configuration information corresponding to the plurality of subspaces, filling a group of subspaces in the plurality of subspaces with corresponding voxel data so as to create a virtual object in the virtual scene. In this manner, the virtual object may be created in a more refined manner.

The invention discloses a compression storage method for a transformer substation GIM model. The compression storage method comprises the steps that an STL file of a target GIM model is acquired and preprocessed; dividing a three-dimensional space and constructing an octree; generating an integer code; and performing database storage and index construction to complete compression storage of the target GIM model. The invention also discloses a system for realizing the compression storage method of the transformer substation GIM model. According to the method, through preprocessing, three-dimensional space division, octree establishment and a corresponding coding scheme of the corresponding file of the model, compression storage of the transformer substation GIM model is achieved, the storage efficiency is high, the query performance is good, and management is convenient.

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.

A system and method for allowing a multiplicity of people to concurrently share a common video-audio device. A multiplicity of pixels comprising a common display are spatially divisible for outputting distinctly selected content, where the spatial divisions are substantially collocated with distinct physical locations amongst a multiplicity of possible locations. When a person walks up or is summoned to approach a specific physical location their presence is detected along with some identifier, where the person is then provided a selected video-audio stream output on the spatially relevant pixels corresponding to the specific physical location based at least in part on the identifier. Two or more people may be concurrently occupying adjacent physical locations and each receiving distinct video-audio streams. Either or both of the video and the audio may be provided as private and substantially only seen or heard by the person occupying the specific location.

A robot cleaner includes a driving device, a sensor, a memory, and a processor. The processor controls the driving device to drive the robot cleaner at a space and generates generate a map of a space based on sensor data obtained while the robot cleaner driving in the space. The map is stored in the memory. The processor divides the space on the generated map into a plurality of rooms and recognizes an object and a position of the recognized object in the space on the generated map based on the information obtained through the sensor. The processor stores information about the recognized object and the position of the recognized object on the map, and generates a name of each of the plurality of rooms based on information about the recognized object positioned in each of the plurality of rooms.

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 method for video decoding includes receiving a video frame reconstructed based on data received from a bitstream. The method further includes extracting, from the bitstream, a first syntax element indicating whether a spatial partition for partitioning the video frame is active. The method also includes, responsive to the first syntax element indicating that the spatial partition for partitioning the video frame is active, determining a configuration of the spatial partition for partitioning the video frame, determining a plurality of parameter sets of a neural network, and applying the neural network to the video frame. The video frame is spatially divided based on the determined configuration of the spatial partition for partitioning the video frame into a plurality of portions, and the neural network is applied to the plurality of portions in accordance with the determined plurality of parameter sets.

The invention discloses a museum visiting and guiding method and system based on a mixed reality technology and a medium. Relates to the technical field of intelligent navigation. According to the scheme, the space in the museum is divided into the safe space and the non-safe space of the MR wearable equipment, the light of the safe space is normal, the MR wearable equipment can realize correct spatial positioning, and the light of the non-safe space is dark and miscellaneous, so that the problem of inaccurate spatial positioning of the MR wearable equipment possibly occurs; therefore, the MR wearable device of the scheme is provided with two working modes for coping with the safe space and the non-safe space, when the MR wearable device is located in the safe space, the mixed reality feedback is performed in the normal mode, and when the MR wearable device is located in the non-safe space currently, the mixed reality feedback is performed in the real-time mode. By superposing the surrounding environment information in the instant mode, the surrounding environment information and the mixed reality feedback content are combined in time, so that accurate mixed reality feedback and space positioning are provided.

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.