113 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 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 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.

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 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 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.

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 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.

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.

A computer-implemented method for performing an optimized spatial join operation between geospatial datasets is described. The method includes analyzing each geospatial dataset to extract spatial metadata by performing an one-pass scan of each geospatial dataset to collect spatial metadata. The method further includes applying a heuristic-based method to identify an optimal number of partitions for each geospatial dataset and a hybrid sampling strategy with Reservoir and Bernoulli sampling for each partition. The method also includes generating spatial partitions based on the extracted spatial metadata including shuffling collected samples, increasing the number of samples, and mixing samples from all geospatial datasets. Additionally, the method includes performing a spatial join operation which includes dynamically selecting a spatial index structure to execute local joins within each partition, and executing an adaptive per-partition local join execution plan by estimating which geospatial dataset is smaller and designating the smaller geospatial dataset as a build side.

Embodiments of the present specification disclose a distributed stream data processing method, device and equipment. The method comprises: obtaining a first stream data set collected by a data collection device in a first time range in a first spatial partition, and a second stream data set collected by the data collection device in a second time range in a second spatial partition, each stream data in the two data sets comprising at least time attribute information describing a stream data generation time and position attribute information describing a generation position; determining, according to the time attribute information and the position attribute information, a target stream data set for the same event existing in the first stream data set and the second stream data set; performing deduplication processing on each stream data in the target stream data set; and finally outputting the deduplicated stream data to a data processing device for automatic driving decision planning. The present scheme removes repeated data that interferes with automatic driving decision planning, thereby improving the accuracy of automatic driving decision planning.

The application relates to the technical field of location privacy protection, and discloses a differential privacy location protection method based on a Balltree, which comprises the following steps: S1: receiving service request information containing a user identifier, a user real location and a query radius; S2: constructing a Balltree space partition structure based on historical or current user location data, wherein the Balltree comprises a plurality of spherical space partitions, each partition has a space centroid and a covering radius; S3: acquiring the covering radius of the corresponding partition according to the Balltree partition to which the user real location belongs, and using the radius r of the Balltree partition as a parameter of a differential privacy sensitivity function, namely Delta F=f(r); and S4: generating a disturbed location, which comprises: randomly sampling a disturbance angle and sampling a disturbance distance based on a disturbance scale. The application combines the Balltree space partition and the differential privacy disturbance mechanism, thereby realizing flexible privacy protection for different regions and avoiding the problems of privacy leakage or query quality decline caused by a single disturbance scale.

The invention belongs to the technical field of data processing, and particularly relates to a mixed tetrahedral mesh generation method based on ray tracing and A15 crystal lattices, which comprises the following steps: S1, space division and intersection detection; s2, carrying out region division and filling of objects; s3, an octree construction and light filling method; s4, generation of hierarchical grids; the method has the advantages that the technical problems that an existing grid filling method cannot accurately restore surface sharp features and a method based on a symbol distance field is low in calculation efficiency and large in storage overhead are solved, and high-quality and high-efficiency tetrahedral grid generation is achieved; and a reliable grid discretization solution is provided for finite element analysis and engineering simulation of a complex three-dimensional model.

The application provides a photovoltaic panel defect generation method based on an improved generative adversarial network, a convolution module based on spatial partition is used for down-sampling of an encoding part of a generator, a transposed convolution is used for up-sampling of a decoding part, and an adaptive fine-grained channel attention module is embedded between the encoding part and the decoding part; an adaptive normalization layer is arranged after a convolution layer of a discriminator, is used for dynamically adjusting normalization parameters according to the style of input features, and obtains a photovoltaic panel defect generation model; in a training process, a perception loss, a style loss and a total variation loss are additionally introduced, so that the model actively focuses and retains small target details in a generation process. Through improvement of the discriminator, the generator and the loss function and introduction of the adaptive fine-grained channel attention module, the clarity and integrity of small targets such as fine cracks and fragments in a finally generated photovoltaic panel defect image are significantly improved.

A method for determining a spatial two-tuple is performed by a computer device. The method comprises: obtaining a given spatial distance and multiple spatial objects, wherein each spatial object belongs to a first spatial object set or belongs to a second spatial object set (101); determining a global area according to a minimum bounding rectangle (MBR) and an extended minimum bounding rectangle (EMBR) corresponding to the first spatial object set and an MBR and an EMBR corresponding to the second spatial object set (102); performing subspace division on the global area to obtain multiple subspaces (103); partitioning the multiple spatial objects according to a positional relationship between each spatial object and each subspace to determine spatial objects comprised in each subspace (104); and according to a spatial distance between the spatial objects of each subspace, determining a spatial two-tuple comprised in each subspace that matches the given spatial distance (105).

The invention discloses a full-type optical skyrmion generation method and device based on a single-layer metasurface, and belongs to the field of micro-nano optics and structured light field regulation and control. A space region division strategy is adopted, and the single-layer metasurface is divided into an inner ring region and an outer ring region. The inner ring area realizes conversion from linearly polarized light to a specific transverse vector field by utilizing a geometric phase; the outer ring area introduces a propagation phase by adjusting the cellular cross section size, accurately compensates pi / 2 phase mismatch, introduces super oscillation modulation by means of binary phase alternate arrangement, suppresses a longitudinal field main lobe and enhances a side lobe through destructive interference, and realizes polarity inversion of the longitudinal field from the center to the edge. The optical skyrmion generating device can generate Nel type, Bloch type and inverse type optical skyrmion on a single-layer metasurface element, has the advantages of high fidelity, compact structure, no need of complex alignment and the like, and has important application value in the fields of high-density optical storage, super-resolution metering and nano control.

The invention relates to the technical field of energy management, and discloses a building energy analysis method and device, computer equipment and a storage medium. The method comprises the following steps: firstly, acquiring multi-dimensional sample data associated with the internal space position of a building; thirdly, performing clustering analysis on the basis of the multi-dimensional sample data to form a target cluster; and then, based on the target cluster, carrying out validity verification to obtain a verification result. Through a dual mechanism of clustering analysis and validity verification, noise and abnormal points in the data can be identified and filtered, and overall regulation and control failure caused by single-point data errors is avoided. And finally, under the condition that a verification result meets a preset condition, partitioning the internal space of the building based on the target cluster to form a plurality of space partitions, and performing partition adjustment on the building energy system based on the space partitions. Even if some sensor data have deviation, the reasonability of the partitioning and adjusting strategy can still be kept according to the overall data distribution mode, so that the robustness and the self-adaptability are improved.