70 results about "Spatial partition" patented technology

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 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 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.

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 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 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.

The application provides a design method of indoor fire-fighting map based on space cognition, and relates to the field of fire safety. The design method of indoor fire-fighting map based on space cognition specifically comprises the following steps: S1. BIM model building, S2. GIS data integration, S3. expression of indoor space division, S4. expression of fire-fighting thematic elements, S5. design of fire-fighting map, S6. planning of evacuation route, S7. construction of auxiliary management system, S8. simulation of fire simulation experiment, and S9. development of emergency disposal plan. Through semantic extraction and geometric conversion of the BIM model into the 3DTiles data format of the three-dimensional GIS conforming to the OGC standard, the data of the BIM is completely integrated through database establishment of data mapping, the strength of model rendering is greatly reduced, the stability of data is improved, and through the different map elements designed according to the attribute characteristics, the evacuation of the fire-fighting personnel for indoor rescue operation is provided with effective dynamic routes, and the life safety of the personnel is greatly ensured.

The application discloses a multi-layer fusion digital twin space model organization method and system, and belongs to the technical field of meta-universe and digital twin. The whole space model is described in units of products, an update area is defined under the products, layers are used to describe under the update area, and a hierarchical and block mechanism is adopted to divide the space. The space model adopts a WGS84 coordinate system, one database includes multiple products, each product is composed of one or more update areas, each update area contains various layers describing physical elements, and the space under the same coordinate system is divided into different levels and different square grid blocks. The application can realize that each product in the space model is relatively independent, version control and updating are not affected by other products, and the space model can be expanded in the form of layers according to the design principle.

A system and associated methods perform a dynamic differentiated capture of a three-dimensional (3D) asset for non-uniform splat generation. The system partitions the 3D space of the 3D asset into multiple cells. The system selects a set of cells that encompass a volume of the 3D space in which one or more of the 3D asset primitives are defined. The system determines an amount of visual detail associated with the primitives in each selected cell, and positions virtual cameras in the 3D space to capture a first set of primitives that are associated with a first amount of visual detail from more perspectives than a second set of primitives that are associated with a second amount of visual detail that is less than the first amount of visual detail. The system generates images that non-uniformly capture the 3D asset from the positions of the virtual cameras.

The invention discloses a granular material shearing localization characterization method based on topological structure transformation, which comprises the following steps: converting an original disordered granular system into a spatial interconnection topological network structure based on a topological space division method of granular information and Delou triangulation; identifying adjacent triangular structures with topological transformation in the topological network structure, and determining the starting time and the ending time of the topological transformation according to the time sequence evolution trend of the corresponding geometrical shape factor; and according to the starting time and the finishing time of the topological transformation, identifying an active adjacent triangular structure which is currently subjected to the topological transformation, and calculating related characteristic parameters of the topological transformation based on the active adjacent triangular structure so as to represent the shear localization behavior of the particle system under the action of the external load. On the basis, the shearing localization behavior of the particle system is finely and quantitatively represented from the perspective of meso-topological structure transformation.

The application discloses a point cloud rendering method and system, and relates to the technical field of computer graphics, and comprises the following steps: acquiring point cloud data of a detected object; S2, dynamically dividing a three-dimensional space into multiple rendering levels based on the real-time distance from the acquired point cloud data to a current observation point; based on each rendering level, respectively establishing a nonlinear smooth continuous function mapping relationship between rendering sampling probability and the observation distance of a rendering point radius, and respectively inputting a preset representative observation distance at each layer to obtain the rendering parameters of each layer; and applying the corresponding rendering parameters of the point cloud of different rendering levels to perform differentiated rendering operations. Advantageous effects: the hierarchical mechanism provides a structured framework for subsequent nonlinear parameter mapping, so that the adjustment of the rendering parameters can be based on an ordered spatial division closely related to visual perception, which is a prerequisite for the intellectualization of the whole method.

This application provides an obstacle screening method, device, medium, and program product based on a binning algorithm. The method includes: acquiring a set of candidate obstacles, wherein each candidate obstacle includes at least a first position parameter and a second position parameter; dividing the target space into multiple continuous intervals based on a preset binning interval parameter, and creating a left candidate binning container and a right candidate binning container based on the continuous intervals; traversing the set of candidate obstacles, determining the lateral affiliation and the continuous interval to which a candidate obstacle meets preset candidate conditions based on its first and second position parameters, and mapping it to the bins in the corresponding candidate binning container to establish a binning index; traversing the left and right candidate binning containers according to preset hierarchical screening rules to determine the target obstacles to form a target obstacle set and screening according to a preset number. This application reduces computational load and decision latency, and improves the screening reliability in complex dynamic environments.

The present application discloses a kind of soft rock zone high spectral remote sensing identification method for railway engineering geological survey, comprising: obtaining railway survey area hyperspectral image and constructing data set;Subsample set is constructed by random sampling, and the space division of multiple groups of isolated hyperspheres and residual space is generated based on the distance of pixel and its nearest neighbor;According to the position of pixel falling into each space division, generate isolated kernel feature vector;With all or part of pixel as background pixel set, calculate the average value of its isolated kernel feature vector as isolated distribution kernel mean model;The inner product of the isolated kernel feature vector of the pixel to be measured and the mean model is calculated to obtain the initial abnormal similarity, and the contiguous area is extracted as soft rock zone after spatial neighborhood regularization.The present application reduces the computational complexity from quadratic to linear, has data density adaptive ability, and can efficiently and accurately identify soft rock zone under complex geological background along railway by fusing spatial continuity constraint.

To provide an evaluation device capable of comprehensively evaluating an observable space and a dead space in a monitoring space.SOLUTION: An evaluation device includes a depth information acquisition unit that acquires depth information indicating a distance between observation means for observing a monitored space and an object present in the monitored space, a posture information acquisition unit that acquires posture information including a position and a posture of the observation means at a time when the depth information is acquired, a parameter acquisition unit that acquires a characteristic parameter of the observation means, and a calculation processing unit that generates voxel data in which attribute information indicating whether each of a plurality of voxels obtained by dividing the monitored space is observable from the observation means or a blind spot is registered on the basis of the depth information, the posture information, and the characteristic parameter.SELECTED DRAWING: Figure 2

The invention discloses a multi-scanning laser radar collaborative calibration method and system based on a three-dimensional space grid, relates to the field of laser radars, and is used for improving the high-precision collaborative consistency of spatial orientation of multiple radars. According to the method, a multi-radar relative coordinate system is constructed and initialized; constructing a three-dimensional calibration space in each radar detection intersection area, and dividing a space node set; planning a space moving path of the captive balloon in the space node set, and synchronizing system time; executing space node traversal and observation data acquisition according to the planned space moving path; based on the constructed multi-radar relative coordinate system and the collected observation data, constructing a global nonlinear error model and performing joint optimization; and performing system parameter compensation and correction according to the optimized calibration parameters. The method effectively solves the problems that a traditional plane calibration method cannot decouple radar installation inclination errors and pointing zero deviation, and the consistency of multi-radar beam long-distance space rendezvous is poor.

The present application relates to the technical field of edge computing, and particularly relates to a mine environment intelligent monitoring method and system based on edge computing, which comprises: collecting multi-dimensional environment data under a mine; dividing a mine space into multiple local spaces based on three-dimensional coordinates of each sensor under the mine; determining an abnormal state value of a local space in a preset time period by using multi-dimensional environment data of the local space in the preset time period; obtaining a first initial category center point by using the abnormal state value and multi-dimensional environment data of the local space in a previous time period; obtaining a second initial category center point by using multi-dimensional environment data of the local space in a subsequent time period; iteratively updating the first and second initial category center points by using a Mini-Batch K-Means algorithm to obtain a risk value of the local space; and performing mine risk early warning based on the risk value. The present application can improve the real-time performance of underground security.

The invention provides a double karst water-containing medium physical model construction method and device, and relates to the technical field of karst geology, and the method comprises the steps: obtaining a real rock core structure; performing three-dimensional scanning on the real rock core structure, inputting a three-dimensional scanning image into a preset three-dimensional image analysis model for three-dimensional reconstruction, extracting a network, and constructing a pore network model; extracting pore structure features based on the pore network model, and constructing a pore network three-dimensional model by inputting the pore network model into a preset multi-physics field coupling model for seepage simulation; according to pore size distribution and permeability difference in the pore network three-dimensional model, determining a space division boundary of the porous matrix block and the karst pipeline to obtain a porous medium structure; and performing integrated forming treatment and physical verification on the porous medium structure to obtain the double karst water-containing medium physical model. According to the method, the problem that a physical model cannot truly reflect capability and engineering applicability is solved.