15 results about "Scale (map)" patented technology

The invention discloses a structured corpus generation method and device for geological map multi-modal large model training, and the method comprises the steps: preprocessing geological vector data, and constructing a semantic aligned geological data set; randomly selecting a data viewport, and setting the geographic space range and size of a map viewport; configuring a plurality of visual parameter items, performing controllable random adjustment on text labels, element symbols and map maps, and customizing and producing geological map samples as required; extracting multi-dimensional attribute information of the geological map sample to construct structured meta-information annotation data, and constructing a geological element mask annotation file to obtain a structured corpus for geological map multi-modal large model training. According to the method, large-scale production of the training samples with diversity, high quality and image-text alignment features is realized, the geological map corpus meets the requirements of multi-modal large model training on data scale, diversity, labeling precision and modal alignment, and the training efficiency and generalization ability of a geological map intelligent interpretation understanding model are remarkably improved.

This invention discloses a method, apparatus, device, and storage medium for constructing a 3D map, applicable to the field of 3D mapping. It involves determining a reference point within the view frustum of a viewpoint, constructing a reference plane containing the reference point and parallel to the view frustum, determining the height of the 3D map rendering interface window, and determining the height of the reference plane window. The unit of the 3D map rendering interface window height is pixels, while the unit of the reference plane window height is length. A distance-pixel ratio is determined based on the ratio of the reference plane window height to the 3D map rendering interface window height. The 3D map scale of the reference point is determined based on the distance-pixel ratio, constructing a 3D map containing the 3D map scale. Based on perspective projection rules, the scale information at any location in the 3D map can be calculated quickly and accurately, improving the efficiency of constructing a 3D map with a high-precision scale. The high-precision scale can assist in obtaining accurate geographic information within the 3D map, thereby improving modeling accuracy.

The invention discloses a three-dimensional map construction method, device and equipment and a storage medium, and is applied to the field of three-dimensional maps, a reference point is determined in a visual cone of a viewpoint, and a reference plane which contains the reference point and is parallel to a far section of the visual cone is constructed; determining the height of a three-dimensional map rendering interface window, and determining the height of a reference plane window of a reference plane; the unit of the height of the three-dimensional map rendering interface window is pixel, and the unit of the height of the reference surface window is length; determining a distance pixel proportion based on a ratio of the reference plane window height to the three-dimensional map rendering interface window height; and determining a three-dimensional map scale of the reference point based on the distance pixel proportion, and constructing a three-dimensional map comprising the three-dimensional map scale. Based on the perspective projection rule, the measuring scale information of any position in the three-dimensional map can be rapidly and accurately calculated, the efficiency of constructing the three-dimensional map containing the high-precision measuring scale is improved, the high-precision measuring scale can assist in obtaining accurate geographic information in the three-dimensional map, and then the modeling precision is improved.

The invention provides a target detection and map construction device and method, equipment and a medium, and the method comprises the steps: carrying out the feature extraction of perception data, obtaining a multi-scale feature, determining the initial position and the target size of a target object based on the perception data, determining a target scale feature matched with the target object based on the target size and the multi-scale feature, and carrying out the detection of a map. And based on the initial position and the target scale feature, determining a local feature of the target object, and based on the local feature and the initial position, determining a target detection result of the target object. Therefore, the target scale features are dynamically determined through the target size, the features with more matched scales can be dynamically selected for the targets with different sizes, the problem that details of small targets are lost or redundant information of large targets is interfered by fixed single-scale features is avoided, the pertinence and effectiveness of feature expression are enhanced, and the accuracy of feature expression is improved. Therefore, the accuracy of target detection can be improved.

The invention provides a conversion method and system based on a DXF format map, a storage medium and electronic equipment. The method comprises the steps that all primitives in the DXF format map are traversed in a recursive mode, and primitive information is extracted; determining physical size information corresponding to a PGM format map according to the primitive information; determining a coordinate transformation matrix from a physical coordinate system to an image coordinate system according to a custom scale and the primitive information; and determining a PGM format map corresponding to the DXF format map according to the custom scale, the physical size information, the primitive information and the coordinate transformation matrix. According to the method, end-to-end automatic conversion from the map in the DXF format to the map in the PGM format is realized, manual intervention is not needed, and the map generation efficiency and the map precision are greatly improved; the method also supports a user to customize a proportional scale, can adjust the size and precision of the map according to different application scenes and conditions, and is higher in flexibility and wider in adaptability.

The invention provides a rock mass mechanical property intelligent prediction and parameter optimization method based on digital twinning, and belongs to the technical field of geotechnical engineering and intelligent calculation crossing, and the method comprises the steps: S1, obtaining data; s2, performing scale mapping and unified expression; s3, carrying out modal division; s4, extracting feature data; s5, feature coding and fusion; s6, constructing a mechanical behavior prediction and parameter optimization model; s7, outputting a prediction result and / or an optimization result; and S8, performing adaptive closed-loop optimization. According to the method, by providing an intelligent analysis scheme combining experiment-numerical simulation fusion and cross-scale data modeling and physical prior constraint, rapid and accurate prediction of the mechanical response of the rock contact surface and intelligent inversion and optimization of key mechanical parameters of the contact surface are realized; and finally, the calculation efficiency, the prediction precision and the engineering applicability of mechanical analysis of the rock contact surface are comprehensively improved.

The present application relates to the technical field of map making of geographic spatial data expression, and particularly relates to a map generation method supported by a customized large model, wherein the method comprises: establishing a cartographic demand corpus set and a structured cartographic instruction set according to cartographic demand, and constructing a map making corpus; fine-tuning the customized large model by using a fine-tuning mechanism and a cross-entropy loss function of the customized large model; collecting basic geographic information data satisfying a preset large-scale condition, and constructing vector tiles corresponding to multi-scale map making data; constructing at least one map making function comprising a data selection function, a symbol configuration function, a note placement function, a legend generation function, a scale placement function and a border decoration function, and generating a map supported by the customized large model.The present application can realize professional map instruction output of the customized large model for different map demands, and dispatches a cartographic engine to perform automatic map making, thereby greatly reducing map making time.

The invention discloses a three-dimensional geologic model subdivision method and device based on grid point attribute assignment and a storage medium, and belongs to the technical field of seismic model forward modeling. The method sequentially comprises the following steps: S1, defining a three-dimensional geologic model area based on a Cartesian coordinate system, defining a ground surface, and setting the number of grids in X, Y and Z directions as required to obtain hexahedral grids; s2, reading three-dimensional geologic model data generated by various modeling software, traversing the hexahedral mesh and the GLL points, and obtaining a mapping relation from the attributes of the three-dimensional geologic model to the GLL points of the hexahedral mesh; s3, according to the mapping relation, geological attribute values are given to the hexahedral mesh GLL points, a gridded three-dimensional geological model is formed, and three-dimensional geological model subdivision can be completed. The method is suitable for gridding subdivision of three-dimensional geologic models generated by various modeling software, is high in adaptability and expansibility, and plays an important role in large-scale application of forward numerical simulation technologies such as a spectral element method.

The invention provides a multi-class and multi-scale modeling method for a fracture-vuggy carbonate reservoir, and relates to the technical field of petroleum geology modeling. The multi-class multi-scale modeling method for the fractured-vuggy carbonate reservoir comprises the steps of S1, unified standardization and space alignment of multi-source multi-scale data: acquiring seismic data, logging data, core digital data and production dynamic data of a target reservoir, and performing abnormal value elimination, missing value compensation and dimension unified processing on the multi-source data, and realizing alignment of different data in a unified space coordinate system through space coordinate conversion and scale mapping. A unified and reliable data basis is provided for subsequent modeling through generation of a standardized multi-source data set, elimination of data dimension differences and elimination of abnormal values, a macroscopic fracture-cavity boundary is extracted by adopting an edge detection operator and an adaptive threshold segmentation method, the recognition precision of geometric contours of fractures and karst caves is remarkably improved, and the recognition efficiency is improved. And identifying a micro pore-crack structure based on an image segmentation model.

This invention discloses a method and apparatus for generating structured corpus for training multimodal large-scale geological map models. The method includes: preprocessing geological vector data to construct a semantically aligned geological dataset; randomly selecting data viewports and setting the geographic spatial extent and size of the map viewports; configuring multiple visualization parameters to controllably and randomly adjust text annotations, feature symbols, and map elements, and customizing geological map samples as needed; extracting multidimensional attribute information from the geological map samples to construct structured metadata annotation data, and constructing geological feature mask annotation files to obtain a structured corpus for training multimodal large-scale geological map models. This invention achieves large-scale production of diverse, high-quality training samples with text-image alignment features. The geological map corpus meets the requirements of multimodal large-scale model training for data scale, diversity, annotation accuracy, and modal alignment, significantly improving the training efficiency and generalization ability of intelligent geological map interpretation models.

The invention belongs to the technical field of information, and particularly discloses a debris flow source multi-scale quantitative identification method, which comprises the following steps: grouping regional spatial feature parameters to obtain a scale division threshold set; carrying out macroscopic grid division and determining a total resource amount estimation value in each unit; for the over-threshold unit, analyzing a channel and slope intersection in combination with a terrain model so as to locate potential key resource coordinates; scanning the slope accumulation bodies by using an image recognition algorithm, recognizing monomers meeting starting conditions, judging that the volume and the position of each accumulation body meet the starting conditions, and obtaining a microscopic resource detail data set; and finally, multi-level data are fused, and a consistency resource total amount evaluation result is obtained through interpolation and cyclic verification. And mapping information at macroscopic, mesoscopic and microscopic levels by using the conversion matrix, and judging that the mapped data meets the supply relationship requirement to obtain a multi-scale resource identification model. The method can effectively improve the precision and integrity of mineral resource identification in complex mountainous areas.

The application provides a 3DGS scene modeling and map management method and equipment for autonomous navigation, a unified voxel corner point space index benchmark is established, discrete perception anchor points are generated based on multi-modal sensor data, the generation and update of three-dimensional Gaussian continuous representation are driven, and the decoupling of rendering attributes and geometric structure is realized; the perception anchor points are mapped to generate corner point navigation units by using the unified index, and through the whole life cycle management and access control mechanism, only mature and stable navigation units are retained to participate in the pose constraint and map output, and dynamic noise is effectively eliminated; when the map is expanded, the continuity of the navigation constraint is maintained through the structure inheritance and gradual switching strategy across the sub-maps. The application converts the unstructured Gaussian radiation field into a structured navigation map which can be directly used for path planning, solves the problems that the existing 3DGS map is difficult to directly navigate and unstable in a dynamic environment, and effectively improves the precision and robustness of the autonomous navigation of mobile robots in a large-scale scene.

The invention relates to a multi-scale high-precision map construction method based on double-space interaction, and belongs to the technical field of high-precision map construction. According to the method, a double-space feature modeling and interaction mechanism is introduced. The method comprises the following steps: firstly, performing feature extraction on multi-view image data, projecting the multi-view image data to a bird's-eye view space, and generating multi-scale BEV feature representation; and then, carrying out scale-by-scale fusion on the multi-scale BEV features of the current frame and the historical prior BEV features in an Euclidean space so as to enhance the continuity and stability of a map structure. On the basis, the fused multi-scale BEV features are mapped to a hyperbolic space, modeling is carried out on the hierarchical relationship among different scale features by using the geometric characteristics of the hyperbolic space, and cross-scale feature interaction is realized. And finally, the advantages of the Euclidean space features and the hyperbolic space features are integrated through a double-space feature fusion mode, BEV feature representation used for high-precision map decoding is generated, and therefore the overall precision of map construction is improved.

The invention discloses a map availability evaluation method and system based on a multi-dimensional quantitative model, and belongs to the technical field of map making and user experience evaluation. The method comprises the following steps: firstly, constructing a VR immersion environment according to the mapping size and purpose of a map, and collecting multi-modal cognitive behavior data and subjective evaluation data of a subject; based on the multi-modal cognitive behavior data, statistical calculation is carried out on quantitative scores of three dimensions of element distinction degree, element readability and retrieval efficiency; and finally, through a hierarchical entropy weight and expert calibration fusion weighting mechanism, performing weighted fusion on the quantitative score of each dimension and the experience scale data to obtain a comprehensive availability evaluation result. According to the method, the natural reading scene of the map can be truly restored, multi-dimensional quantitative evaluation is realized, the evaluation efficiency and accuracy are improved, and a scientific basis is provided for map optimization.

The invention discloses a self-adaptive multi-constraint modeling method for three-dimensional inversion of magnetic measurement data, and belongs to the technical field of mining survey. The method comprises the following steps: acquiring original measurement data of a magnetic measurement area, constructing a multi-dimensional constraint system based on a self-adaptive constraint mechanism, finishing inversion modeling of the measurement data by combining a three-dimensional inversion algorithm, outputting a three-dimensional geologic structure model of a target area, and synchronously acquiring multi-dimensional auxiliary information and carrying out structured mapping to obtain a three-dimensional geologic structure model of the target area. The constraint mechanism constructs a multi-type dynamic constraint system, the weight is adjusted according to the iteration process, the problem of poor adaptability of the traditional constraint is solved, the geologic rationality of the model is improved, the inversion algorithm adopts a non-uniform grid and efficient solution mode, and the method is suitable for large-scale popularization and application. In combination with dual verification of data fitting and geological consistency, the inversion precision and efficiency are ensured, an output model fits an actual geological condition, reliable support is provided for geological exploration and resource evaluation, and the defects in the prior art are effectively overcome.