35 results about "Spatial extent" patented technology

This invention provides a method for security responsibility assessment and closed-loop traceability in smart governance scenarios, comprising: acquiring multi-source heterogeneous data in the smart governance scenario; generating a corresponding event identifier when an abnormal event is detected in the multi-source heterogeneous data; extracting a structured evidence package within a target time window and target spatial range based on the event identifier; extracting responsibility factors from the structured evidence package; inputting the responsibility factors into a responsibility assessment model and a responsibility scoring function to obtain the responsibility score, responsibility level, and responsibility confidence level corresponding to the abnormal event, and determining at least one of the direct responsible entity, related responsible entity, and management responsible entity based on the responsibility correlation; and automatically generating corresponding handling instructions based on the responsibility level and the category of responsible entity.

The application discloses a deep learning magnetotelluric data inversion method and device based on sub-region coding, and the method comprises the following steps: dividing an inversion region of magnetotelluric data into multiple coding sub-regions; constructing a training data set according to prior information of the multiple coding sub-regions; training a deep learning model by using the training data set to generate coding with prior regions, and generating coding without prior regions by using direct mapping, so as to re-parameterize a geoelectric model and obtain a re-parameterization result; and optimizing the coding based on the re-parameterization result to realize magnetotelluric data inversion. The application can flexibly embed prior information with different complexities, degrees of certainty and spatial ranges; can adaptively improve inversion effect according to the quality of the prior information; can strengthen the reconstruction resolution in a specific region or direction; and has low complexity and low training calculation amount.

Embodiments of the present application provide a kind of processing method, device, electronic equipment, storage medium and product of abnormal data.The method comprises: obtaining the two-dimensional grid map to be processed;At least one specular reflection area is contained in the two-dimensional grid map;For any specular reflection area, determine a plurality of first line segments located in the specular reflection area, and determine the target boundary line segment of the specular reflection area based on the plurality of first line segments;Determine the spatial range of the specular reflection area based on the target boundary line segment, and delete all pixel points in the spatial range of the specular reflection area, provide a kind of systematic way to identify and remove abnormal data, reduce the need for manual intervention, support the data cleaning process of automation, and the spatial range of specular reflection area can be accurately determined, improve the cleaning efficiency and accuracy of abnormal data.

Disclosed are a traffic data warehouse construction method, a storage medium, and a terminal. The method includes: creating a target monitoring task based on a creation instruction; loading a monitoring object and spatial range corresponding to the target monitoring task, and obtaining a sampling unit set of the monitoring object; calculating a spatial attribution relationship between a spatial range of each sampling unit in the sampling unit set and the spatial range of the target monitoring task, and determining a spatial coupling relationship; setting a label of the monitoring object based on the spatial coupling relationship, generating a labeled monitoring object, inputting the labeled monitoring object to a preset monitoring calculation function, and outputting a calculation result; and configuring the calculation result in the labeled monitoring object, and distributing the configured monitoring object to a task database corresponding to the target monitoring task.

This invention relates to the field of dynamic monitoring technology for foundation pits, specifically a dynamic monitoring method for deep foundation pit support construction methods that integrates digital twins. The method includes the following steps: obtaining construction stage numbers and binding them to support units; collecting excavation depth and component status data and writing them into a digital twin model; matching design elevations and verifying status consistency to determine stage completion; updating stage attributes and synchronously displaying the construction monitoring status. In this invention, support units and spatial ranges are associated with construction stage numbers as the main line. Component identification, excavation depth, installation status, and acceptance status are integrated to form a unified status expression. Stage completion is automatically determined through stage condition matching and consistency verification. The displayed content is updated synchronously with stage switching, enabling the support status, excavation status, and construction progress to be linked within the same semantic framework. This reduces human judgment bias, lowers the risk of stage misjudgment, and improves the consistency between monitoring results and on-site construction, as well as the efficiency of dynamic control.

The DXF 3D reconstruction method based on scanline clustering and multi-layer topology calculation includes the following steps: S1: Obtain the target engineering drawing, extract the 2D point set from the preset target layer and preprocess it to obtain the preprocessed 2D point set; S2: Use scanline gap analysis and density clustering algorithm to automatically identify and segment the 2D point set into multiple view point sets corresponding to different projection directions; S3: According to the orthographic projection rules, convert the multiple view point sets into a 3D spatial point cloud, and standardize the 3D spatial point cloud through spatial range calibration to obtain a standardized input point set; S4: Construct a preliminary topology connectivity calculation model based on multi-layer spatial traversal and distance threshold filtering; S5: Use the standardized input point set to perform geometric feature matching and vector cross product verification on the preliminary topology connectivity calculation model to generate triangular patch topology data and output a 3D model file. This invention has the advantages of good versatility, high robustness, high lightweightness, and easy deployment.

The application provides a multi-sheet virtual database map data management system and method. The system comprises: a plurality of physical sheet databases for storing spatial element data and attribute data; a metadata index library for returning a hit sheet set in response to a sheet retrieval request for a target spatial range; a virtual database for providing a unified data access interface to an upper-layer application, and comprising: a dynamic data scheduling engine for determining the hit sheet set and a corresponding physical sheet database set; a result aggregation unit for performing merging and deduplication on sub-request results; an editing and edge processing engine for decomposing an editing request into sub-editing operations respectively facing each sheet database when the sheet set comprises multiple sheets; and a transaction coordination unit for starting a transaction for each of the multiple physical sheet databases corresponding to the sub-editing operations and performing the sub-editing operations. The application can improve cross-sheet operation efficiency and reduce heterogeneous data integration and maintenance costs.

A system includes sensors, memory, and a processor. The sensors are configured to capture images of a workspace, and the memory is configured to store the images and a model of machinery located within the workspace. The processor is configured to generate a spatial representation of the workspace based on the captured images. The processor is also configured to identify non-machinery entities within the workspace and, for each of the identified entities, generate an object that specifies a spatial extent of the respective entity and a protective separation distance for the entity. Further, the processor is configured to recognize an interaction between the entities and merge the corresponding objects into a merged object specifying a protective separation distance therefor. Moreover, the processor is configured to control operation of the machinery in accordance with a safety protocol and the protective separation distance for the merged object.

The present application relates to remote sensing image index retrieval technical field, especially to a kind of remote sensing image unified identification method based on GeoSOT composite coding, comprising: extracting remote sensing image spatial range, resolution, imaging time and the like metadata and constructing structured record;Generate the GeoSOT composite coding containing fixed length position code, resolution code, timestamp and variable length field;Binding coding and image storage address and metadata, derive multidimensional index features such as space and time;Distributed multidimensional inverted index is constructed and is synchronously maintained;Analysis search request, after set operation, fine filtering, backtracking to obtain result.The present application expresses image multidimensional attribute by structured GeoSOT composite coding, and constructs collaborative multidimensional inverted index based on coding, converts complex space-time-resolution-sensor combination retrieval into multiple one-dimensional inverted lookup and set operation, significantly improves the retrieval efficiency and system expansibility of mass multi-source remote sensing image.

This invention discloses a method and system for monitoring soil erosion based on intelligent sensors, comprising the following steps: S1, collecting data and performing time alignment; S2, enhancing image data, using the Canny operator to identify edges, extracting regional feature maps using the DeepLabV3+ model, and constructing a monitoring feature sequence; S3, identifying abnormal feature values ​​using the Hampel filter and filtering abrupt change segments; S4, constructing a risk scoring sequence, using the Kneedle algorithm to extract trend inflection points, and generating a erosion trend sequence; S5, using the Otsu method to define the spatial range of soil erosion and estimate the area; S6, determining the soil erosion risk level and generating a monitoring report. This invention integrates multi-source sensing and visual temporal analysis technologies, possessing advantages such as high precision, strong continuity, and quantifiability, thus improving the automation level of soil erosion monitoring.

The application discloses an oil spill event timing remote sensing image automatic generation method, system and equipment, relates to the technical field of water transportation and environmental protection, and comprises the following steps: obtaining structured oil spill event metadata based on original public opinion text data sets, and determining the spatial range and time window of a target observation area; concurrently searching a plurality of open source satellite data platforms to download satellite image data; cutting a sub-image covering a set size observation window from the satellite image data to obtain a preprocessed standardized sub-image; generating a timing index file based on the imaging time of the sub-image; sorting and packaging the preprocessed standardized sub-image based on the timing index file to obtain a multidimensional space-time data cube; and integrating the timing index file, the multidimensional space-time data cube and the oil spill event metadata to generate an oil spill event timing remote sensing monitoring product package and a core metadata file. The application improves the timeliness, accuracy and continuity of oil spill emergency event monitoring.

This invention discloses a method, system, and intelligent driving vehicle for calibrating the rotation angle of an onboard millimeter-wave radar. The method includes: when the onboard millimeter-wave radar is invoked for the first time, acquiring an original point cloud set within a set spatial range using the onboard millimeter-wave radar according to a set scanning cycle; filtering the original point cloud set to obtain a target point cloud set; dividing the target point cloud set into several point cloud subsets along the X-axis; for each point cloud subset, fitting a straight line based on the two-dimensional coordinates of all points in the subset, and calculating the angle between the straight line and the X-Y horizontal reference plane; performing regression peak value processing on the angles of all point cloud subsets to obtain the radar rotation angle corresponding to a set scanning cycle; performing secondary regression peak value processing on the radar rotation angles corresponding to all set scanning cycles to obtain the current calibration rotation angle of the onboard millimeter-wave radar; wherein, the current calibration rotation angle is used to compensate for the target detection data.

The application provides a construction area target identification method and device based on radar top view angle segmentation. The method comprises: acquiring radar point cloud data in a construction area; dividing the spatial range of the construction area into a plurality of grids with preset length, width and height thresholds, and performing voxelization processing on the acquired radar point cloud data to generate a binary voxel grid matrix representing whether each grid has point cloud data; inputting the binary voxel grid matrix into a BevSeg model to output a category label representing a target in the construction area and a 3D target range frame corresponding to the target, wherein the BevSeg model is a BEV angle point cloud segmentation model based on a convolutional neural network (CNN) and sparse 3D convolution, and target identification and parameter regression are completed through a U-Net full convolution structure combining 3D convolution and 2D convolution; and determining the category of all radar point cloud data to complete target identification in the construction area. Through the application, automatic identification of targets in the construction area can be realized, and the hardware requirements and costs are reduced.

The present application relates to the technical field of geological engineering, and discloses a drilling and remote sensing data fusion processing system, which comprises a remote sensing sensing device for acquiring remote sensing data, extracting coordinates, attributes and spatial range to form global basic data; drilling data is collected through field drilling construction at the same time, drilling coordinates, orifice elevation, layered depth, lithology, thickness and stratigraphic boundary points are extracted to form basic constraint data; remote sensing data, drilling data and exploration line profile are uniformly accessed, and through coordinate conversion, elevation unification, stratigraphic code normalization, abnormal value elimination and spatial registration, standardized processing and accurate spatial matching of multidimensional data are realized; an initial geological framework model is built and corrected; the geological relationship is analyzed based on the corrected geological framework model, the model is improved in qualification through spatial interpolation algorithm, topological consistency correction algorithm and weight fusion algorithm, and finally the model display result is outputted to provide accurate support for geological engineering decision.

This invention relates to the field of land spatial planning technology, specifically to a three-dimensional design method for visualizing land spatial planning data conflicts. The method includes using aerial photography to survey the topography of the planning area, constructing a three-dimensional model of the planning area, acquiring core data on elevation, slope, aspect, topographic relief, soil type, and hydrogeology within the area, and establishing conflict rules for the plans based on land spatial planning control requirements. In this invention, by first summarizing the land area of ​​various plans into the three-dimensional model of the planning area, and then adapting the location and spatial scope of conflicting plans according to preset planning priorities, the amount of planning modifications required is reduced. By determining the location and scope of various plans in advance, subsequent detailed plans can be developed simultaneously, thus improving the overall design efficiency of land spatial planning.

Incremental parametric modeling based on 3D scan data. The invention relates to a method of generating a parameter set for modeling a real-world object in a scene. The parameter set represents information about a spatial extent and position of a first object in a frame of reference associated with the scene. The method comprises: (a) accessing input data based on a point cloud, the point cloud being recorded from different viewpoints; (b) providing an array representation of the point cloud using scan coordinates as rows and columns; (c) identifying image blocks in the array corresponding to the object; (d) deriving the parameter set based on the identified image blocks and known viewpoints.

An ultrasound scanner scans a patient. The scan data is checked for an optimal view as a subpart of the scan. Where the field of view does not include the optimal view, the scan is repeated with a different spatial extent. Where the field of view does include the optimal view, then the scan data for that optimal view is used to generate an image. Both the view and the overall or broader scan are controlled together so that a sonographer may place the transducer at an approximate location to still provide a precise view.

This application provides a method, system, medium, and product for quality inspection of smart construction sites, relating to the field of digital data processing technology. The method includes: firstly, receiving on-site voice, image, and coarse positioning information collected by a smart safety helmet; performing semantic analysis on the voice to extract hazard feature words; combining hazard feature words and interactive information to lock the intended target area, and generating fine positioning information through target detection and feature matching; based on hazard feature words and fine positioning information, calling a hazard causal reasoning model to perform spatial deduction to determine suspected root cause hazards and their associated spatial range; combining the associated spatial range with blind spots identified by the inspected trajectory to generate source-tracing recommended checkpoints and pushing them to the smart safety helmet; acquiring newly added abnormal objects reported on-site, analyzing their spatial co-occurrence association features, and establishing a joint source-tracing association file with the current hazard objects to achieve intelligent source-tracing inspection of quality hazards at smart construction sites.

This application relates to the field of data optimization technology and provides a method for optimizing remote sensing data. The method includes: obtaining a preliminary screening dataset of remote sensing images based on user-input query conditions; inputting the query conditions and the preliminary screening dataset into a data optimization model to obtain a optimized dataset output by the data optimization model; the data optimization model is obtained by training a deep learning generative network using historical query conditions and corresponding historical preliminary screening datasets and historical optimized datasets; the historical optimized dataset is obtained by optimizing the historical preliminary screening dataset using a multi-constraint combinatorial optimization method. This application can achieve efficient optimization of massive amounts of remote sensing data with large spatial range and long time series, meeting the time constraints of online services.

The application provides a slope map generation method, system, terminal and medium; wherein the slope map generation method comprises: obtaining elevation raster data based on the spatial range of a target area; calculating the slope value of each pixel based on the elevation raster data, and dividing into each slope level to generate each initial slope area; obtaining the initial boundary of each initial slope area; performing an interpolation operation on each initial boundary to generate corresponding each interpolation line, and simplifying each interpolation line to form each interpolation boundary; dividing each slope area based on each interpolation boundary to generate the slope map corresponding to the target area. By interpolating each initial boundary, obtaining each interpolation line, and forming smooth each interpolation boundary after simplification, each slope area is divided based on each interpolation boundary, so that the generated slope map has smooth boundary of each slope area, good continuity, and high precision, and the display effect of the slope map is improved.

The present application relates to a kind of method and equipment for deformation monitoring using unmanned aerial vehicle, belong to surveying and mapping, photogrammetry and water conservancy monitoring technical field.The same detection range is used unmanned aerial vehicle to complete the aerial data acquisition of two time, and the photograph with the degree of overlap is collected;Image or video frame after image acquisition, extract the unmanned aerial vehicle attitude and GNSS space coordinates when image or image frame is photographed;Restore the spatial attitude of photograph, find the homonym of photograph, restore the relative position between photograph, calculate the digital elevation model of ground surface of two time;Compare the digital elevation model of two time, first alignment, extract the same space range data of DEM of two time, then difference calculation is carried out to the aligned DEM of two time, and if elevation difference exceeds threshold value, it indicates that there is collapse, and the earthwork of collapse area is calculated according to DEM;The collapse coordinate position is positioned to GIS system and visualized display.The present application can quickly spatial positioning, show defect, identify whether there is collapse.

This application proposes a method, apparatus, and readable storage medium for determining sensitive vessels. The method includes: acquiring vessel name data for multiple vessels to be detected; extracting name-sensitive features and behavior-sensitive features for each vessel to be detected, and constructing a sensitive feature trie; acquiring a first sensitive vessel dataset based on feature retrieval conditions and the sensitive feature trie, and determining vessel spatial parameters; determining a second sensitive vessel dataset based on the vessel spatial parameters and a spatial range threshold; determining name-sensitive features and / or behavior-sensitive features based on the second sensitive vessel dataset; determining a vessel sensitivity intensity value based on the spatial clustering and feature matching degree of the second sensitive vessel dataset; determining a target sensitive vessel based on the vessel sensitivity intensity value and a sensitivity intensity level threshold, and outputting the sensitivity intensity level data of the target sensitive vessel. This application combines the quantitative determination of feature matching degree and spatial clustering degree to achieve multi-dimensional and accurate identification of sensitive vessels.

This invention discloses a method for inspecting offshore facilities using a fusion of multibeam and side-scan sonar, relating to the field of sonar detection signal processing technology. This method acquires multibeam and side-scan sonar data and establishes a unified spatial coordinate system. Based on the multibeam sonar data, a three-dimensional point set is constructed, and each data point is used as a reference point to determine the spatial neighborhood range of each reference data point and its corresponding side-scan sonar data point. Based on the spatial distance difference and intensity difference between data points within the spatial neighborhood, the degree of intensity change per unit spatial distance is calculated to determine anomaly status. The abnormal reference data points are spatially aggregated to determine the spatial range of the abnormal area and generate anomaly inspection results. This method introduces spatial neighborhood constraints to quantitatively analyze spatial change characteristics, achieving accurate identification of abnormal areas and improving the stability and reliability of inspection results.

This invention relates to the field of data indexing technology, and discloses a method, apparatus, device, and medium for constructing a dynamically balanced KD-tree index based on real-time streaming data. The method includes determining a target trajectory stream; determining the initial spatial range of the root node of the initial KD-tree based on the geographical range of the target trajectory stream; dividing the initial spatial range of the root node into two initial subspaces using the coordinates of the first point of interest as the dividing point; performing a dynamic insertion operation for each target point of interest reached after the first point of interest; triggering a split operation for the leaf node when the number of points of interest stored in any leaf node exceeds a first preset capacity threshold; and monitoring the comprehensive imbalance index of the initial KD-tree in real time, triggering a global reconstruction process when the comprehensive imbalance index value exceeds a preset reconstruction threshold. This solution improves the balance of the KD-tree and query efficiency.

This application discloses an intelligent blasting process optimization method and system for thick ore bodies, belonging to the field of blasting technology. It performs three-dimensional spatial structural analysis on ground-penetrating radar detection data, and simultaneously extracts temporal features and segments working conditions from intelligent drilling process data, extracting drilling response feature sequences reflecting lithological changes, comprehensively covering geological structure and lithological variation characteristics. The structural surface features, the spatial range of anomalies, and the drilling response feature sequences are matched and fused at the feature level to generate a multi-source collaborative feature field with geological calibration information. Based on the multi-source collaborative feature field, an iterative joint inversion algorithm is used to simultaneously solve for the rock mass strength parameters and energy absorption characteristic parameters at each point in space, thereby generating the three-dimensional geological attribute distribution and energy demand distribution of the target mining area. The use of an iterative joint inversion algorithm to simultaneously solve for parameters improves the efficiency and accuracy of parameter solving, supporting subsequent personalized blasting design.

This invention discloses a BIM model loading optimization method, system, device, and program product. The method includes: first, generating a multi-level tile space with an octree structure based on the 3D bounding box of the BIM model to be loaded; second, determining candidate tile nodes based on the intersection relationship between the view frustum of the current camera viewport and the spatial range of each node in the multi-level tile space; third, for each candidate tile node, selecting target tile nodes based on the projection size of the x-direction dimension of the corresponding spatial range of the candidate tile node onto the camera viewport; and finally, loading and displaying the BIM model to be loaded based on the target tile nodes. This invention achieves efficient loading of BIM models, significantly improving the user's browsing experience.

The application discloses a weakly supervised object detection method based on query guidance feature mining, and has the characteristics that the method comprises the following steps: acquiring an input image and an image level label, generating a candidate region and extracting features of the image and the candidate region; the candidate region features are reconstructed into dynamic region level queries, the structural consistency is enhanced through a region attention mechanism, and a deformable cross attention mechanism is adopted to adaptively capture the complete spatial range of the target; a learnable class query is used to sequentially establish an explicit semantic-to-instance alignment with the region level query and the global feature, and a class-aware semantic alignment score is generated; and the initial score of multi-instance learning and the semantic alignment score are weighted and fused to generate a calibrated detection score. Compared with the prior art, the application effectively solves the problems of "local dominance" and "semantic confusion" under the weak supervision condition, realizes a smooth transition from local saliency to complete target level representation, and has high detection and positioning accuracy.

This application provides a method and system for extracting seismic activity factors based on seismic data, relating to the field of earthquake engineering technology. The method obtains effective seismic event sets by acquiring seismic data of a target area and performing magnitude screening and aftershock removal. It then acquires a hierarchical source region model and extracts three-level polygon boundary data: statistical region, tectonic region, and tectonic source. Based on the epicenter location and magnitude parameters of each earthquake in the effective seismic event set, spatial fusion is performed within the spatial range defined by the polygon boundary data to generate an activity horizontal distribution layer. The activity horizontal distribution layer is spatially overlaid with the polygon boundary data to extract the cumulative activity within each level of polygon boundary. Finally, the cumulative activity is amortized according to the actual area of ​​each level of polygon to obtain and output the seismic activity factor, thus improving the accuracy and spatial resolution of quantitative seismic activity assessment.

This application relates to a method, apparatus, electronic device, and storage medium for calculating shear loss volume. It involves acquiring first three-dimensional point cloud data of the surface joints of rocks in a rock test group before and after shearing; performing a first circular cut on the first three-dimensional point cloud data of each rock to obtain a first circular region; and then performing a second circular cut on the second three-dimensional point cloud data of each rock to obtain a second circular region. Based on the coordinate information of the second circular regions of the sheared rock and the reference unsheared rock, the shear loss volume corresponding to each sheared rock is determined. By combining rock shearing tests with three-dimensional laser scanning, a reliable method is provided for non-contact, high-precision acquisition of shear deformation data of water-soaked rough rocks. The design of two circular cut processes ensures that all samples are ultimately compared within the same spatial range and coordinate system, eliminating interference caused by sample placement and edge damage, thus laying the foundation for accurate calculation.

An apparatus for synthesizing a spatially extended sound source, comprising a spatial information interface (100) for receiving a spatial extent indication, the spatial extent indication indicating a limited spatial extent within a maximum spatial extent (600) for a spatially extended sound source; a cue information provider (200) for providing one or more cue information items in response to the limited spatial extent; and an audio processor (300) for processing an audio signal representing the spatially extended sound source using the one or more cue information items.