155 results about "Geometric relations" patented technology

The invention belongs to the technical field of artificial intelligence, and particularly relates to a complex table intelligent analysis method and system based on multi-modal fusion and semantic analysis. The method comprises the following steps: S1, performing preliminary analysis on a document based on a multi-modal fusion technology, identifying position information of a table area, a text and an image, and outputting the position information of the table area; s2, reconstructing the table structure based on the topological graph structure and the geometrical relationship of the table to obtain a reconstructed table; s3, identifying the content of the reconstructed table by utilizing machine vision, and correcting the identified content of the table and the position information of the table area in combination with semantics to obtain all the content of table analysis; and S4, outputting the analyzed table content according to a required format. According to the method, the complex table can be analyzed and corrected.

The invention relates to the technical field of embankment inspection, and provides an embankment inspection robot environment detection method and system, which can determine a motion blur direction, extract linear features of an image and determine a linear feature direction by acquiring an embankment image and performing motion blur judgment when the image has motion blur. And on the basis, according to the geometrical relationship between the motion blur direction and the linear feature direction, whether the linear feature is the embankment crack or not is judged. By using the motion blur direction as a judgment basis, a pseudo crack and a real crack caused by motion blur can be effectively distinguished, and early-stage potential safety hazard detection omission caused by image quality reduction is avoided, so that the accuracy and the reliability of embankment crack detection are remarkably improved, and the continuity and the effectiveness of an embankment inspection task are guaranteed.

The invention provides a tunnel surrounding rock deformation rolling time sequence prediction method and system considering excavation disturbance, and the method comprises the steps: obtaining a geometrical relationship from a tunnel face to a monitoring point, an excavation area and an excavation footage in a tunnel excavation process, and calculating a construction disturbance factor according to the obtained data; constructing and training a surrounding rock deformation prediction model, wherein the surrounding rock deformation prediction model is obtained by fusing a convolutional neural network, a bidirectional long-short term memory neural network and an attention mechanism layer; acquiring tunnel surrounding rock monitoring data, and preprocessing the monitoring data; and taking the preprocessed monitoring data and the calculated construction disturbance factor as input data of the trained surrounding rock deformation prediction model to obtain a final deformation prediction result. According to the method, the dynamic disturbance characteristics of stress redistribution in the tunnel excavation process are quantified into the construction disturbance factors, the nonlinear coupling relation between surrounding rock deformation and construction disturbance is analyzed through the hybrid model, and the tunnel surrounding rock deformation prediction accuracy is improved.

The invention provides a frequency dispersion curve calculation method based on a decoupling type Legendre-Gauss-Labatto spectral element method, and belongs to the technical field of discrete solution of guided wave propagation in a thin plate, and the method comprises the following steps: S1, constructing a wave equation which comprises a Cartesian space coordinate system based on an orthotropic plate, and combining a constitutive equation, a geometrical relationship under the coordinate system and guided wave displacement to obtain a wave dispersion curve; substituting into a control equation when the volume force is zero to obtain an improved three-dimensional elastic wave equation; s2, a differential matrix is constructed, wherein discretization and decoupling are carried out on a wave equation on the basis of a Lagrange interpolation basis function of a Legendre-Gauss-Labatto node; s3, explicitly embedding the stress free boundary condition into the solving process through matrix line transformation, and solving to obtain a frequency dispersion curve, the derivation process is simplified, the boundary and the interior of the material are decoupled, and the physical significance is clearer. And meanwhile, the high-precision advantage of the spectrum method is maintained, and the calculation rate is remarkably improved.

A system includes proximal and distal structures and a processor system. The processor system determines a first commanded motion of the proximal structure; determine a second commanded motion for joint(s) of the distal structure or an imaging device, wherein when the first and second commanded motions are performed in conjunction, a field of view of the imaging device is maintained relative to a workspace; and in response to determining that driving the joint(s) in accordance with the second commanded motion would cause the distal structure or the imaging device to violate a constraint: determines an alternate commanded motion for the joint(s) to maintain a defined geometric relationship between a first geometric feature fixed relative to the imaging device and a second geometric feature fixed relative to the workspace, drives the proximal structure in accordance with the first commanded motion, and drives the joint(s) in accordance with the alternate commanded motion.

The invention relates to the technical field of numerical control systems and five-axis calibration, in particular to a five-axis RTCP parameter calibration method based on an iterative algorithm, and the method comprises the steps: (1) calibration device deployment: fixing a standard ball on a workbench, installing a displacement sensor on a flange surface of a main shaft through a tool clamp, and correcting the deviation; (2) data acquisition: a mobile sensor is tangent to a standard ball, joint coordinates and displacement are recorded, and data cover a spherical surface; (3) mathematical model establishment: deriving a sensor tail end sphere center coordinate formula based on a five-axis kinematic model (double swing heads, double rotary tables and single rotary table single swing head); (4) constructing a target optimization function: according to the tangent geometrical relationship of the two balls, establishing an optimization function taking the RTCP parameter and the center coordinate of the standard ball as variables; and (5) iterative solution: carrying out iterative calculation by adopting a differential evolution algorithm, taking an optimization function value as fitness, and outputting an RTCP parameter after a precision requirement is met. The method is easy and convenient to operate, high in precision, high in universality and suitable for RTCP parameter calibration of the low-end five-axis machine tool.

The invention discloses a point cloud-based reverse modeling curved surface generation method and system, and relates to the field of electric digital data processing, and the method comprises the steps: obtaining three-dimensional point cloud data of a to-be-processed engineering design product, and projecting the three-dimensional point cloud data to a preset cutting plane to obtain a two-dimensional projection point set; and performing dimension reduction processing on each projection point, calculating a local geometrical relationship between the projection point and a neighborhood point, and mapping the local geometrical relationship to a one-dimensional parameter space to obtain a one-dimensional parameter value. Clustering analysis is conducted on the two-dimensional projection point set based on the one-dimensional parameter values, the two-dimensional projection point set is divided into a plurality of point cloud clusters, and each point cloud cluster corresponds to one geometric feature curve. And sorting the projection points in each point cloud cluster according to a spatial position relationship to obtain an ordered point sequence. And identifying the geometric feature type of each ordered point sequence, performing curve fitting, and extracting parameter information to obtain the feature parameters of the engineering design product. And generating an accurate curved surface model according to the characteristic parameters. By implementing the method, the accuracy of point cloud clustering can be improved.

The invention provides a method and a program product for simulating human thinking to intelligently solve plane geometry questions, and relates to the technical field of intelligent symbol reasoning. The method for intelligently solving the plane geometry questions by simulating human thinking comprises the following steps of: expressing a geometrical relationship in a question by using a statement in a form of predicate and parameter so as to perform literal translation on the question, establishing a graph structure, and maintaining reasoning steps and process results; geometric derivation and algebraic calculation are alternately carried out until a target conclusion is obtained; wherein the geometric derivation provides a new equation for the algebraic relationship; the side length relation is simplified through algebraic calculation, and the precondition of the geometric theorem is further provided; and finally, backtracking the reasoning path, and generating a proof process. According to the algebraic derivation and geometric derivation interaction method provided by the invention, the reasoning process strictly complies with the geometric theorem and the algebraic operation rule, and the correctness of the obtained result is ensured.

The invention discloses a non-repeated scanning point cloud registration method based on energy consistency, and particularly relates to the technical field of three-dimensional point cloud processing. According to the method, a unified energy model fusing a scale normalization robust data item, an entropy regularization optimal transmission item, a normal consistency item and a spherical normal distribution alignment item is constructed aiming at the problems that the inherent geometrical relationship of a point cloud is damaged due to random sampling of a non-repeated scanning laser radar and a traditional registration method is easy to fail. Registration solution adopts a three-stage strategy: in a bootstrap stage, a high-quality initial pose is quickly obtained through spherical normal distribution alignment and robust translation estimation; in the main processing stage, the soft corresponding relation and the geometric increment are alternately optimized, and non-monotone line search is combined to ensure energy convergence; fine adjustment is conducted in the polishing stage to improve the final precision. According to the method, the matching problem in non-repeated scanning point clouds is effectively solved, and high-precision and high-robustness registration is realized in a scene with weak geometric features and repeated structures.

A computing system is provided, which receives a molecular graph at a message passing graph neural network (MPGNN), and produces scalar embeddings representing features of nodes and edges of the graph and vector embeddings representing geometric relationships of the graph. The system processes the scalar embeddings via a vector scalar interactive message passing mechanism of a message passing sub-block of theMPGNN to generate and pass scalar information from the scalar embeddings to an embedding space containing the vector embeddings. The system updates the vector embeddings based on the embedding space containing the scalar information and the vector embeddings. The system updates the scalar embeddings based on run-time geometry calculations of the geometric relationships encoded in the vector embeddings. The system computes an updated molecular graph based on the updated scalar and vector embeddings and outputs a target molecular property value based on the updated molecular graph.

The invention discloses a geometric topology fusion-based part assembly method, which comprises the following steps of: acquiring boundary representation models of at least two to-be-assembled CAD parts, and converting the boundary representation model of each CAD part into a structured heterogeneous geometric topology graph; performing feature coding on each node in the heterogeneous geometric topological graph to form node feature representation; inputting the node feature representation into a graph attention reasoning module, and obtaining a node embedding representation representing a geometrical relationship and a topological relationship in the CAD part through multi-layer residual graph structure information propagation and feature aggregation; based on the node embedding representations of the different parts, calculating association scores of node pairs among the different parts; and performing supervised training on the feature coding module and the graph attention reasoning module by using the labeled assembly constraint sample data. According to the method, fine geometric features can be extracted from a boundary representation B-Rep model, and a complex topological dependency relationship is inferred, so that robust assembly constraint inference is realized.

The invention relates to the technical field of urban planning and spatial information, in particular to an urban landscape style assessment method and system based on three-dimensional reconstruction, and the method comprises the following steps: S1, generating a live-action three-dimensional model of a target urban area; s2, dividing the target urban area into a plurality of space grid units on a horizontal plane; s3, extracting three-dimensional visual feature parameters in each vision field range; s4, calculating a visual space oppression index according to the geometrical relationship of the buildings in the visual field range; s5, calculating a landscape style and feature comprehensive evaluation value of the space grid unit; and S6, mapping the comprehensive evaluation value of the landscape style to the geographic position of the landscape style, and generating an urban landscape style evaluation thermodynamic diagram. According to the method, through three-dimensional modeling, visual feature extraction and comprehensive quantitative evaluation, three-dimensional, standardized and visual evaluation of urban landscape styles and features is realized, and scientific support is provided for urban planning and styles and features management.

The invention discloses a geospatial data geometric topological relation evaluation method and system based on a large language model, and belongs to the technical field of spatio-temporal information processing, and the method comprises the following steps: S1, data preprocessing and model construction: processing a training data set containing geospatial data and a corresponding geometric topological relation thereof, and constructing a model; the geometric topological relation of the geographic space data is coded into text or vector representation which can be understood by a large language model; the coded training data is utilized to finely adjust a pre-trained large language model, so that the pre-trained large language model can evaluate a topological relation according to input geographic space data description; s2, geographic space data input and feature extraction; and S3, large language model reasoning and topological relation evaluation. According to the method, by combining the language understanding ability of the large model and the spatial topology calculation technology, intelligent and high-precision evaluation of the geographic spatial data geometrical relationship is achieved, and a brand-new and self-adaptive evaluation technology is provided for the field of geographic spatial data processing.

The invention discloses a battery module welding quality detection method and related equipment, and the method comprises the steps: carrying out the time sequence observation of a welding spot array in a preset time window after the welding is completed, and generating a to-be-detected welding spot set; acquiring three-dimensional shape data of a welding spot to be detected, setting a non-welding reference ring on the outer side of the welding spot according to a lap joint geometrical relationship between a battery cell tab and a busbar, and extracting a welding pit opening boundary and a welding pit bottom area through a robust separation method; fitting a local reference surface by using data in a range of the non-welded reference ring, and calculating the depth of the welding pit and the upheaval volume of the ring area; a plurality of welding spots in the same busbar are subjected to statistical analysis, a judgment interval is dynamically generated in combination with a historical rhythm trend, and the welding quality is judged according to parameters of all the welding spots and array consistency. According to the technical scheme, key geometric features can be stably extracted under the high-speed production condition, errors caused by warping and material differences are reduced, and efficient quantitative detection of micron-sized welding spot defects is achieved.

The invention discloses an object tiny deformation measurement method and system based on interference fringe analysis, and belongs to the technical field of optical measurement. The method comprises the following steps: acquiring an interference fringe image and probe position and direction data; carrying out phase demodulation and sensitivity vector calculation on the surface of a measured object; obtaining the local phase number of each probe according to the interference image; calculating sensitivity vector data through a geometrical relationship; obtaining global phase and sensitivity data, obtaining initial full-field phase data through a weighted fusion method based on a geometrical relationship between a sensitivity vector and a deformation direction, calculating a consistency error, judging whether the consistency error exceeds a threshold value or not, if so, updating a deformation direction estimation value, and executing fusion processing again; and solving and obtaining three-dimensional deformation field data through a linear relation until the error meets the requirement or reaches the maximum number of iterations. According to the invention, the reliability and early warning capability of structural safety assessment in long-term monitoring can be improved.

This invention discloses a parking trajectory evaluation method, comprising: generating multiple candidate obstacle avoidance paths represented by fourth-order Bézier curves; utilizing the convex hull property of Bézier curves, a graded collision detection mechanism is used to screen candidate paths with no collision risk through preliminary axial bounding box judgment and precise judgment using the separating axis theorem; for safe candidate paths, regression gravity cost, ride comfort cost, and comprehensive safety cost are calculated by analyzing the geometric relationship of control points, wherein the regression gravity cost is based on the alignment degree between the control point evaluation at the curve endpoint and the heading and curvature of the reference path, and the ride comfort cost is calculated based on the discrete bending energy model of the control polygon; the comprehensive evaluation cost is obtained by weighted summation of the costs of the above three dimensions, and the path with the minimum cost is selected as the execution trajectory, wherein the weight coefficients are dynamically adjusted according to the width of the lateral passable space and the vehicle speed. This invention reduces the computational power consumption of planning and achieves smooth regression with the memorized path after obstacle avoidance.

The invention discloses an industrial control software-oriented AI intelligent software evaluation index system construction method, and relates to the technical field of index system construction, and the method comprises the steps of obtaining a semantic time period according to log data of an industrial control task; grouping the multi-period coordinate semantic record table corresponding to the semantic period and determining a geometrical relationship to obtain a geometrical relationship signature table; obtaining a target task combination based on the geometrical relationship signature table, and obtaining an extended task record table based on the target task combination; calculating a success rate index based on the extended task record table, and generating an index table of the semantic evaluation unit based on the success rate index; according to the method, stable and reliable data support can be provided for industrial control software version selection, upgrading decision and operation optimization.

The invention relates to a method for training a machine learning model to predict a geometric relationship between anomalies. The invention further relates to a computer program, a device, and a storage medium for this purpose.

The invention discloses a system and a method for realizing positioning in a carriage based on point cloud plane extraction. According to the method, point clouds in a carriage are collected through a laser radar, and after the point clouds of a robot are filtered out, a RANSAC algorithm is used for extracting and matching parallel wall surface planes on the left side and the right side; further generating an anti-interference inner side envelope plane by counting and analyzing point residual errors in the plane; and finally, calculating the transverse position and the course angle of the robot in the carriage based on the plane-to-geometry relationship. According to the invention, for the environment with scarce characteristics and serious reflection in the closed compartment, the positioning is realized by using the inherent parallel structure without depending on GNSS or IMU, and the method has the characteristics of strong robustness, high precision and good real-time performance, and is suitable for autonomous positioning of automatic loading and unloading robots and unmanned forklifts in closed spaces such as containers, trucks and the like.

This invention discloses a positioning method based on single-station ranging with bias reduction using multidimensional scaling analysis. The method first establishes a multidimensional similarity pseudolinear model based on the geometric relationship between the observation station and the target in the measured values; then, it sets an optimization function; and finally, it solves the model using Newton's iterative algorithm. This invention provides a general positioning method based on single-station ranging, achieving higher positioning accuracy compared to traditional pseudolinear and maximum likelihood methods.

The invention relates to the technical field of pipe fitting measurement, in particular to a geometric parameter evaluation method for a bent pipe. Comprising the steps of establishing a space coordinate system for measurement based on geometrical characteristics of two ends of a workpiece; selecting a plurality of measurement cross sections on the outer contour of the bending part of the workpiece, and obtaining measurement point coordinates of an inner side bus and an outer side bus at each cross section; acquiring the wall thickness value of the bent pipe corresponding to the position of the measuring point coordinate; on the basis of the space coordinate system, according to the axial geometric relation of the two ends of the workpiece, theoretical geometric elements representing a bent pipe cavity are constructed; according to the measuring point coordinates and the corresponding elbow pipe wall thickness value, actual contour point coordinates of the elbow pipe cavity are calculated; and the machining deviation of the bent pipe cavity is evaluated by comparing the actual contour point coordinates with the theoretical geometric elements. According to the method, non-contact accurate measurement and evaluation of key geometric parameters in the elbow pipe can be realized.

This invention discloses a dynamic geometric drawing method suitable for teaching scenarios, belonging to the field of teaching aid technology. Specifically, it includes the following steps: S1. Construction of teaching objectives and task scripts: Clearly define the invariants to be verified in class and the exploration path, outputting an objective list and activity script; S2. Construction of free points and dependencies: Control the degrees of freedom to ensure dragging stability, outputting a list of free points and a dependency graph; S3. Construction of basic objects: Build a stable geometric skeleton, outputting a set of basic objects; S4. Construction of constraint relationships: Explicitly construct the required geometric relationships, outputting a stable constraint structure. Adapting to the teaching process and strengthening goal orientation: Through the steps of "construction of teaching objectives and task scripts" and "classroom process design," it accurately matches the classroom logic of "phenomenon → questioning → induction → proof," decomposing geometric conclusions into testable relationships, designing an exploration activity chain, and ensuring that dynamic graphic drawing fully serves the teaching objectives, helping students intuitively understand geometric invariants.

The application discloses a stage light automatic tracking system and method, and relates to the technical field of light control and automation.The target representation is split into a stable semantic feature vector and an appearance feature vector, and the appearance branch is updated, slowed down or frozen under the driving of a motion state, so that the tracking feature is not dominated by instantaneous reflection and shadow under the working conditions of stagnation and framing, the cross-frame association rule remains consistent, the triggering probability of identity switching and short-time interruption is reduced, a spatiotemporal context signature is generated and stored before occlusion, a searchable spatial constraint is established according to the relative geometric relationship between the disappearance position and the static marker, and after the occlusion ends, the signature is used to build a candidate spatial gating area to reduce the candidate set, and the signature matching score is integrated into the association score, so that the re-identification process does not depend on short-term appearance memory alone, and the false association between similar candidates is reduced.

The invention provides a point and line feature-based pose estimation method and electronic equipment. The method comprises the following steps of extracting point features and line features from an environment image; calculating one or more vanishing points in the environment image based on the extracted line features; according to the geometrical relationship between each line feature and the vanishing point, grouping the line features into different dominant direction sets, and removing the line features which do not belong to any dominant direction set to obtain an optimized line feature set; and fusing the point features and the optimized line feature set, taking the fused point features and the optimized line feature set as input together, performing pose estimation through a visual SLAM algorithm, and outputting pose information of the camera. According to the method, the weak texture environment is effectively dealt with, the point features and the line features are fused, and the line features are optimized by using the vanishing points, so that the key problems that the traditional visual SLAM which only depends on the point features is rare in features and easy to fail in tracking in the low-texture structured environment are solved, and stable and high-precision positioning in the severe environment is realized.

The invention relates to the technical field of three-dimensional modeling, in particular to a metering method, device and equipment of an electric energy meter and a medium. The method comprises the following steps: analyzing a to-be-converted target three-dimensional model, determining geometric information of the target three-dimensional model and main visual angle and surface information of the target three-dimensional model, determining a target surface according to the geometric information, establishing a target coordinate system based on the target surface, determining a symmetric reference axis based on a coordinate axis of the target coordinate system, and determining a reference of each view. And according to the geometric information, the reference of each view, the surface information and a preset size marking logic, performing size marking on each view. The method comprises the following steps: calculating a geometrical relationship of a target three-dimensional model according to plane information in the target three-dimensional model, converting the corresponding geometrical relationship into a two-dimensional engineering drawing, determining a reference axis of the two-dimensional engineering drawing, and performing size marking on each view according to the geometrical information, a reference of each view and a preset size marking logic, thereby realizing one-key drawing output and marking. And the engineering drawing marking efficiency is improved.

The invention discloses a satellite-borne antenna beam scanning device with a simplified structure, and the device comprises a main body unit which comprises a substrate, the substrate is fixedly connected with a plurality of supporting rods, a triangular plate is fixedly connected between the supporting rods, the triangular plate is provided with a feed source assembly, the supporting rods are fixedly connected with locking structures, and the locking structures are fixedly connected with the supporting rods. A locking structure is arranged on the base plate, an auxiliary reflecting plate is movably arranged below the locking structure, a driving assembly is arranged between the locking structure and the auxiliary reflecting plate, a plurality of reflector frameworks are movably arranged on the base plate, and flexible reflecting surfaces are arranged among the reflector frameworks. According to the invention, the rotation angle of the auxiliary reflecting plate is calculated through the geometrical relationship model, and then the auxiliary reflecting plate is adjusted to a proper angle, so that beam scanning is realized.

The invention relates to the technical field of machining, and discloses a chamfering tool metal dead zone shape prediction method based on a slip line theory. The method comprises the steps that firstly, a chamfering cutting edge right-angle cutting slip line field model is constructed, a right-angle cutting coordinate system is established with an S1 point as an original point, then an S1 point Moire circle model is established based on the plastic deformation theory, and the size of an included angle omega 1 formed by a metal dead zone boundary S1S3 and a chamfering S1S2 is solved in combination with the Coulomb friction theorem; and then determining a slope relational expression of the line segment S2S3 and the line segment DN through a geometrical relationship, establishing an equation to solve the height of a shunt point, and finally solving the length 1 of the lower boundary of the metal dead zone, thereby realizing prediction of the shape of the metal dead zone. According to the method, the mathematical relationship between the parameters of the cutting edge of the chamfering tool and the shape of the metal dead zone is established particularly for the shape of the dead zone of the cutting edge of the chamfering tool, so that the boundary of the dead zone can be represented according to the parameters of the cutting edge of the chamfering tool, and the prediction effect of the shape of the metal dead zone of the chamfering tool is achieved.

The invention belongs to the technical field of shock wave weak wavefront extraction, and particularly relates to a shock wave overpressure field reconstruction method based on local elliptic arc matching. According to the method, a local elliptic arc matching algorithm is reasonably applied to wave front contour extraction according to contour features and propagation rules of a weak wave front of shock waves, random disturbance quantity is introduced to carry out iterative optimization on elliptic parameters, and elliptic parameters with higher matching precision with the wave front contour are given; the spherical radius of the shock wave is effectively and strictly solved from a three-dimensional space analytic geometrical relationship, and an effective basis is provided for wave velocity calculation and overpressure field function fitting of the shock wave.

This invention proposes a design method for a gear transmission system of a floor grinding machine, comprising the following steps: Step 1: Determine the diameter, grinding width, center distance, and cross length of the grinding disc, and calculate the grinding parameters of the grinding machine through geometric relationships; Step 2: Determine the arrangement of the input and output gears of the gear transmission system required for the grinding discs based on the number of grinding discs and the center distance; Step 3: Design the lower gear ratio, the number of teeth on the input gear, and the number of teeth on the output gear of the gear transmission system to match the power transmission requirements; Step 4: Design the gear transmission system according to the structure type of the grinding machine; This invention is applicable to both circular and square floor grinding machines. By systematically calculating the number of motors and gear transmission parameters, it can achieve a comprehensive match between the grinding disc layout and the gear transmission system, thereby improving grinding uniformity, transmission stability, and equipment structural compactness.

The application provides a pose estimation method, system, terminal and storage medium, the method comprises the following steps: training a feature point extraction network according to a current frame image and a last frame image of a sample object; training a pose estimation subnetwork according to image feature points and sample images; inputting an object image to be estimated into the feature point extraction network and the pose estimation subnetwork for pose estimation to obtain a pose estimation result, wherein the object image comprises a current frame image and a last frame image of a target object at any time. The pose estimation subnetwork can effectively learn the geometric relationship between adjacent frame images of the object, so that the trained pose estimation subnetwork is not only limited to the change of the object itself, but also can estimate the three-dimensional pose of the target object from the information around the object, thereby avoiding the problem of low pose estimation accuracy caused by pose estimation based on texture features.