36 results about "Geometric element" patented technology

The invention relates to the field of artificial intelligence, in particular to a part quality detection plan generation method based on a CAD drawing and a storage medium. The method comprises the steps that data are extracted from a CAD drawing and converted, and a geometric element set containing three-dimensional coordinates and a labeling text set are generated; identifying geometric features of the geometric elements, analyzing semantic information of the annotation text, and generating a geometric feature set with semantics and an annotation object set; according to the geometric feature set and the annotation object set, constructing a semantic association graph, and carrying out annotation legality check and correction to obtain a final semantic association graph; according to the final semantic association graph, mapping the geometric features and the annotation objects into a hierarchical tree structure according to an industrial standard organization data structure; and generating a part quality detection plan according to the hierarchical tree structure, wherein the detection plan comprises detection points and tolerance zones of dimensional tolerance. According to the method, the efficiency of extracting the data from the CAD drawing is improved.

The invention provides a method for querying geometric elements in different geometric modeling engines and a related product, and the method comprises the steps: responding to a first user operation, and determining a target positioning UV parameter point coordinate in a UV parameterization plane; determining target geometric elements from the entity model according to the coordinates of the target positioning UV parameter points; and determining a target geometric modeling engine of the currently loaded entity model, and determining target identification information of the target geometric element in the target geometric modeling engine. According to the geometric modeling method and device, a user can select the points near the geometric elements needing to be operated by operating the interactive interface and map the points to the corresponding geometric elements through the coordinates corresponding to the points, so that the situation that the geometric modeling efficiency is greatly improved due to different identification modes in different geometric modeling engines can be avoided. And the problems of narrow use case application range, non-visual query result and the like existing in querying the geometric elements by using the ID are solved.

The invention relates to the technical field of metering testing, in particular to a part measuring method, measuring equipment and a storage medium. The method comprises the following steps: acquiring a part design drawing, and extracting geometric elements and annotation elements from the part design drawing; extracting associated elements of the annotation elements from the geometric elements, and adding the annotation elements and the associated elements into a preset associated data list; generating a part measurement program based on each annotation element and the corresponding associated element in the associated data list; and calling the part measurement program to measure the part to be measured. By means of the method and device, the part measurement program can be automatically generated, operation deviation caused by manual editing of the part measurement program is avoided, and therefore the measurement precision of the part measurement program is effectively improved.

The present application discloses a calculation method, a calculation device and a storage medium for three-dimensional space geometric elements, relating to the technical field of three-dimensional model data processing, including: obtaining a three-dimensional model file and three-dimensional space planning information of a region to be recognized; splitting geometric object instances in the three-dimensional model file, and constructing a set of the same geometric objects according to the obtained geometric object instances; saving the compressed set of the same geometric objects into a persistent memory, and constructing a bounding box of the compressed set of the same geometric objects; constructing a geometric object space index of the set of the same geometric objects according to the bounding box; controlling a calculation node to perform geometric element calculation based on the geometric object space index to obtain spatial position information between the region to be recognized and the three-dimensional space planning information. Aggregating geometric objects with similar features to reduce the number of geometric objects for storage compression and spatial index establishment, and improving the calculation efficiency of geometric element tasks.

The present invention discloses a method for generating point clouds of precast component BIM models based on the Revit API and Dynamo, belonging to the technical field of computing, inferring or counting. The method includes: establishing a precast component BIM model according to the design drawings; relying on the.NET framework to build a Revit secondary development program framework through an external command interface; constructing an element collector and an element filter to filter and retain family instances; accessing the geometric elements of the family instances, accessing the geometric objects contained in the geometric elements, and obtaining solid class geometric objects therefrom; accessing the attributes of the solid class geometric objects to obtain surface type and edge type geometric objects; using the geometric figure creation method in Dynamo to convert the surface type and line type geometric objects in Revit into geometric objects supported by Dynamo; calling the geometric operation method in Dynamo to discretize the lines and surfaces created in Dynamo into point sets. The present invention can convert the component BIM model into point clouds, store them in txt files, and can be imported into various point cloud processing software and data processing software to provide support for point cloud alignment, component recognition, etc.

A method of moving a robotic cleaning device through an area includes loading instructions for a plurality of geometric elements. Each geometric element includes a starting point, paths of travel, and waypoints. An ending waypoint of a first geometric element is connected to the starting point for a subsequent geometric element. The instructions for each geometric element do not include dimensions for the one or more paths of travel. The instructions cause the robotic cleaning device to move along a first path of travel of the first geometric element until a sensor of the robotic cleaning device detects that the robotic cleaning device has reached a first waypoint. Then, if the first waypoint is the ending waypoint of the first geometric element, the robotic cleaning device moves along to the subsequent geometric element or changes direction and moves along a second path of travel of the first geometric element.

The application discloses a multi-modal large model driven geometric image reading analysis method and system, relates to the technical field of data processing, and comprises the following steps: after receiving image data uploaded by a user, a candidate set of geometric elements is extracted, and an initial confidence is set for each candidate element; a geometric labeling and recognition channel is started in parallel, visual encoders are used to extract the candidate set of geometric elements, visual embedding is generated, an OCR channel is activated at the same time for text recognition, and text semantic embedding is generated; through confidence weighted cross-modal alignment fusion, structured geometric representation is generated, which is input into a mixed reasoning and identification model, and an analysis result is output. The application solves the technical problems that the existing geometric image analysis method cannot effectively process image and text information at the same time, and the analysis accuracy and efficiency of complex geometric structures are low, and achieves the technical effects of accurately extracting geometric information and text labeling in an image through the fusion of multi-modal large models, and improving the analysis accuracy and efficiency.

The invention provides an integer differential structure and a modeling method, and the method comprises the steps: taking two integers L and ti with different sizes as boundaries and initial conditions, finding an integer array according to the boundaries and initial conditions, multiplying each item of the array except the last item with the integer power increase of ti, enabling the sum of the product (containing the last item) to be L, and enabling the array to be a single differential structure; on the premise that the differential structure is not changed, the power of descending and ascending is carried out on ti, namely, the micro-integral is carried out on L; the numerical value of the differential structure at each order is the specific expression of the intrinsic geometric element of L and the structural change rate, and the expression accords with the minimum action quantity principle of physics; the differential structure can be associated with different coordinate systems, different dimensions and different levels of differential and integral, various geometric elements, graphs and numerical values are given, various concepts in mathematics, physics and geometry can be associated, and accurate numerical values are used for replacing algebraic symbols (periodic and non-periodic functions) for reasoning and calculation.

The method for segmenting geometric elements of a single complex component measurement point cloud is characterized in that: after obtaining the point cloud data, the region growing method is used to divide independent regions, the independent regions representing boundaries are recorded as boundary regions, and other independent regions are respectively recorded as geometric feature regions; and the points in the boundary regions are distributed to the geometric feature regions. The method has the advantages that: when the geometric element segmentation of the single complex component measurement point cloud is performed, the geometric deviation is considered, all points can be distributed to the independent regions without losing information, and the geometric element segmentation of the product containing the geometric deviation can be realized.

The present invention provides a robot TCP calibration method, system and storage medium based on simple geometric elements. The method steps include: Step S100 decomposes the end flange and the tool end of the robot into simple geometric elements, extracts geometric surfaces, and marks them on their surfaces; Step S200 uses a motion capture system to capture the marked coordinates on the geometric surfaces to establish a flange motion compensation coordinate system and a tool motion compensation coordinate system; Step S300 calculates the homogeneous transformation matrix of and to obtain as the TCP calibration result, thereby achieving calibration with a single measurement and solving the alignment error defect existing in the contact type scheme.

The invention relates to the technical field of computer aided design, and discloses a modeling method, system and device and a storage medium, the method comprises the following steps: obtaining geometric elements which are to be input into a modeling engine and are used for constructing a model, and the geometric elements have attribute values; attribute value conversion operation is executed, the attribute values of the geometric elements are converted into a calculation work interval, and the calculation work interval represents the attribute value range of the geometric elements input into the modeling engine; inputting the geometric elements subjected to attribute value conversion into a modeling engine, and constructing an initial model by the modeling engine based on the geometric elements; and executing inverse operation of the attribute value conversion operation, performing inverse conversion on the attribute value of the initial model, and taking the initial model subjected to the inverse conversion of the attribute value as a target model obtained by creation. And the modeling precision can be improved.

The invention discloses a method, device and equipment for solving the attitude of a building component and a storage medium, and the method comprises the steps: obtaining a plurality of geometric elements forming a target building component and the initial attitude of the plurality of geometric elements, and determining the constraint relation among the plurality of geometric elements, adding a temporary constraint to the target geometric element according to a first preset rule; adding temporary constraints to the associated geometric elements according to a second preset rule; inputting all the added temporary constraints, the initial postures of the plurality of geometric elements and the constraint relationship among the plurality of geometric elements into a geometric constraint solver for solving to calculate the final postures of the plurality of geometric elements so as to obtain the final posture of the target building component; according to the method, the problem that the solution obtained by the existing geometric constraint solver through general settings such as the minimum movement distance and the minimum movement geometric number cannot completely meet the design intention is solved.

The invention discloses a method and device for geometrically recognizing a feature shape, electronic equipment and a medium, and the method comprises the steps: obtaining a three-dimensional model of a to-be-recognized part, and obtaining a geometric element surface of the to-be-recognized part according to the three-dimensional model; when the geometric element surface contains a first element surface, extracting a geometric element edge according to the contour shape of the first element surface; when the identifier of the geometric element edge meets a preset condition, determining a geometric element hole formed by the first element surface and the geometric element edge; determining the feature shape of the to-be-identified part according to the feature structure of the geometric element hole; when the geometric element surfaces comprise second element surfaces, taking the second element surface with the largest area as a reference surface; and determining the feature shape of the to-be-identified part according to the geometrical relationship between the reference surface and other second element surfaces. The method can guarantee the recognition integrity rate of each shape in the part, efficiently and accurately realizes the recognition of geometric feature shapes, and can be widely applied to the technical field of data processing.

This application relates to the field of computer-aided design technology, and provides a method, apparatus, terminal device, and storage medium for dragging geometric elements based on differential equations. The method includes: acquiring the starting point, target point, and first constraint conditions corresponding to the geometric element in the user's dragging operation; constructing a target equation based on the starting point, target point, and first constraint conditions; constructing a differential equation based on the target equation; solving the differential equation to obtain multiple intermediate dragging points that satisfy the first constraint conditions; and substituting these intermediate dragging points into the target equation to obtain the dragging trajectory of the geometric element from the user to the target point. This method ensures constraint preservation, motion continuity, and real-time computation during the dragging process of geometric elements in computer-aided software.

The invention provides a geometric figure processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-recognized image, and carrying out the recognition and cutting of the to-be-recognized image, and determining an initial geometric illustration; performing optimization processing on the initial geometric illustration to determine a target geometric illustration; performing denoising processing on the target geometric illustration to obtain a denoised geometric illustration, obtaining image features of the denoised geometric illustration, classifying the image features to determine target geometric elements, and determining first vector elements according to the target geometric elements and a geometric element relationship obtained by disassembling the target geometric elements; and editing a to-be-edited vector element in the first vector element based on the editing instruction, determining a vector graph according to the to-be-edited vector element and the non-edited vector element, and exporting the vector graph into a graph resource library in a standard format. Therefore, high-precision recognition is carried out on the geometric figure, so that the labor cost for subsequently adjusting the geometric figure is greatly reduced.

This application discloses a method, device, and medium for acquiring reference information for geometric elements. The method includes: determining geometric elements through pre-set human-computer interaction software, distinguishing the geometric elements to determine the corresponding element types, including feature elements and topological elements; determining reference elements according to the types, uniformly naming the reference elements, determining the corresponding geometric object names of the reference elements through pre-set APIs, and determining the corresponding geometric types based on the geometric object names; determining the reference point and reference direction corresponding to the geometric type, and determining the coordinate values ​​of the reference point and the direction vector values ​​of the reference direction. This application accurately determines geometric elements through human-computer interaction, uniformly names reference elements after distinguishing element types, and uses APIs to determine geometric types, thereby acquiring reference information. The logic is clear, the operation is standardized, and it can efficiently and accurately acquire geometric element references, improving processing efficiency and accuracy.

The invention belongs to the related technical field of computer aided design, and particularly discloses a CAD geometric constraint system diagram expression method and system based on a ternary body, CAD system expression is divided into three layers, the top layer is geometric elements and engineering constraints; the middle layer adopts a ternary body which comprises a position body representing the positions of the geometric elements, a posture body representing the postures of the geometric elements, and a parameter body representing the measurement of the geometric elements or between the geometric elements; the geometric constraint directed graph of the bottom layer comprises graph vertexes and directed edges, the graph vertexes comprise five types: cube vertexes corresponding to a position body, sphere vertexes corresponding to an attitude body, and parameter vertexes or constrained vertexes corresponding to a parameter body, and the whole can be used as a composite vertex when the subgraphs of the directed graph are subjected to overall analysis or non-constrained vertexes form a directed ring; and the directed arc records the constraint relation between the vertexes of the graph. According to the method, two-dimensional and three-dimensional engineering constraints and geometric elements are uniformly expressed, the geometric elements are decomposed more thoroughly, and the solving scale is effectively reduced.

A method and apparatus for extracting geometric elements from point clouds representing 3D objects and scenes employ a two-step approach to efficiently convert point clouds into voxel-defined elements. By voxelizing the point cloud and discriminating the voxelization results, large planes, cylinders, spheres, cones, tori, and other geometric objects can be identified, enabling rapid preliminary judgment. Subsequently, elements not identified in the preliminary judgment are further precisely identified.

A method of using a coordinate measuring machine includes accessing a database and ascertaining workpiece coordinates for a designated workpiece by evaluating corresponding measurement data or planning data. Each data record in the database includes data on at least two geometric elements that a workpiece might contain, at least one geometric relationship of the at least two geometric elements to one another, and a test feature assigned to the at least two geometric elements that is testable. The method includes creating a determination result by determining, based on the workpiece coordinates, whether the designated workpiece contains the at least two geometric elements and the at least one geometric relationship of a data record. The method includes generating a test plan for measuring the designated workpiece by, depending on the determination result in relation to the respective data record, incorporating the assigned test feature in the test plan.

This paper discloses a reconstruction method for HBIM in digital twin technology for ancient buildings. The method begins with detailed modeling, integrating a standard parametric model with an irregular triangulated network model to construct a basic geometric model. Next, digital-analog decoupling separates geometric space from semantic attribute information, generating an IFC-formatted geometric model. The method then proceeds to geometric conversion, where high-, medium-, and low-risk areas are divided based on the number of vertices per unit area and their area ratio. High-risk areas are subdivided and low-risk areas are merged. Geometric element extraction and reconstruction algorithms are then applied to convert high- and medium-risk areas into OBJ format using the Delaunay triangulation algorithm, and finally into glTF format. Finally, attribute mapping is performed, using component unique identifiers to associate attribute data with the glTF-formatted geometric model and establishing an update mechanism to maintain synchronization. This completes the HBIM reconstruction, laying a solid foundation for the digital preservation and application of ancient buildings.

An interactive mixed reality-based spatial curve drawing and geometric element generation method is disclosed, including steps S1, through a spatial curve drawing module, detecting the hand posture of a user to complete the drawing of a spatial curve; S2, after completing the drawing of the spatial curve, using a geometric element fitting module to complete a geometric element fitting, including the position, orientation, and scale; S3, after completing the geometric element fitting, implementing the geometric element rendering, interaction and parameter adjustment through a geometric element generation and interaction module. The invention provides a method for mixed reality-based spatial curve drawing and geometric element generation, and interaction. Users can use gesture control to draw and generate geometric elements in virtual space, and adjust the geometric parameters of the generated geometric elements online in real time, which significantly improves the interactive experience and operation accuracy.

The invention provides a core block three-dimensional size detection method based on neighborhood screening, and relates to the technical field of core block measurement, and the method comprises the steps: carrying out the line-plane analysis of a rotating body core block according to the machining size of the rotating body core block, and obtaining various geometric elements of the rotating body core block and the geometric space relation between the geometric elements; constructing a corresponding geometric structure mathematical relationship model according to the various geometric elements and the mutual geometric space relationship, and determining a target tolerance zone corresponding to a cross section circle at the intersection of the geometric elements in the model and a bottom circle of the conical surface geometric elements; constructing a standard tolerance model according to the target tolerance zone and the model; carrying out point cloud data acquisition on the target rotating body core block obtained by processing to construct a three-dimensional model; according to the standard tolerance model, tolerance neighborhood screening is carried out on the point cloud data in the three-dimensional model, and a target three-dimensional model is obtained; and according to the target three-dimensional model, determining the actual measurement value of each size to be detected. The objective of the invention is to improve the efficiency and stability of size detection of nuclear fuel pellets.

The present invention discloses a method for geometric segmentation and hierarchical splitting based on envelopes of different layers. By inputting a parent geometry envelope set, a child geometry envelope set, and an initial geometry set, the method first generates parent geometry envelope nodes and an initial hierarchy. The inclusion relationship between the initial geometry and the parent geometry envelope is traversed, and the geometry is screened, processed, and stored in a new set L. The inclusion relationship between the child geometry envelope and the parent geometry is then determined to generate a sub-hierarchy. The geometry in set L is traversed, and based on its inclusion relationship with the child geometry envelope (complete inclusion, partial inclusion, or non-inclusion), it is copied, cropped, split, or created as an independent hierarchical storage process, ultimately forming a structure tree. This method accurately processes geometric elements through three inclusion relationships, utilizes unique numbering to ensure data traceability, and achieves efficient geometric segmentation and reasonable hierarchical splitting, improving the automation and reliability of the design and processing process while reducing data redundancy and hierarchical confusion.

The application discloses a method for automatically marking the size of a three-dimensional part, and relates to the technical field of computers, and comprises the following steps: S1, constructing a hierarchical expression model, a feature type library and a feature marking rule library; S2, obtaining a three-dimensional part to be marked, and extracting geometric elements of the three-dimensional part to be marked and structural relationships between the elements as a geometric element set; S3, identifying features of the three-dimensional part to be marked by using the hierarchical expression model, and establishing a feature structure tree of the three-dimensional part to be marked; and S4, marking the size of the three-dimensional part to be marked by using the feature marking rule library and the feature structure tree. The method establishes a feature type library and a marking rule library of the three-dimensional part, takes modeling features as basic marking units, converts the size marking problem of the three-dimensional part into the problems of fixed-size marking and positioning-size marking of the modeling features, improves the accuracy of part feature recognition, guarantees the correctness and integrity of the marking result, and can effectively meet the use of actual engineering.

1. Name of this design product: Belt Buckle (Original Elliptical Geometric Element). 2. Purpose of this design: a belt buckle for a belt. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

This application provides a method and system for generating geometric feature embeddings based on an encoder, belonging to the field of data processing technology. The method includes: extracting multi-level geometric features of the geometric image to be processed using a visual encoder, and extracting text annotation features of associated text annotations using a text encoder; dynamically allocating fusion weights for the multi-level geometric features and text annotation features; performing similarity matching between the fused feature vector and standard geometric relationship features in a pre-built geometric knowledge base; optimizing the feature space using a geometric semantic alignment loss function; and generating a structured geometric embedding representation. This application can solve the technical problem in existing technologies where geometric embedding representations cannot accurately reflect the real structural relationships in complex geometric images, achieving the technical goal of adaptive generation of geometric feature embeddings based on self-supervision and geometric rule constraints, and achieving the technical effect that the geometric embedding representation can stably characterize the intrinsic relationships of complex geometric structures.

The invention relates to the technical field of drawing, in particular to an automatic hole digging and filling method and device for a drawing and a storage medium. According to the method, each visible geometric element can be automatically read from the drawing to be filled, corresponding ItemType instance data are obtained, and a minimum bounding box is calculated; classifying the geometric elements according to the instance data, and setting the color and filling style of each class; according to the minimum bounding box and the geometric center point, judging whether the geometric element is an internal element of another geometric element or not; if yes, generating a hole digging area of external geometric elements; and according to the color and the filling style, filling the filling area or the hole digging area of the geometric elements to generate a filled drawing. It can be understood that according to the technical scheme, the hole digging area is jointly recognized through the minimum bounding box and the geometric center point, and the recognition precision is high; and during filling, rapid filling can be carried out according to colors and filling styles corresponding to the geometric elements, so that the plotting efficiency of a complex structure is remarkably improved.

To easily acquire CAD data which is faithful to a work-piece and meets demands of a user in a process of converting mesh data into CAD data.SOLUTION: A reverse engineering support device 1 includes: an extraction unit 272 for extracting a geometrical element from mesh data; an accepting unit 273 for accepting selection of one geometrical element from a plurality of geometrical elements extracted by the extraction unit 272 and selection of the type of a logic operation; a registration unit 274 for registering a plurality of records in which the type of the logic operation and the geometric element accepted by the accepting unit 273 are related to each other into a synthesis processing table; an operation unit 275 for creating a synthesis element by executing a logic operation of a geometric element on the basis of the type of the logic operation related to each record for each registered record; and a display control unit 276 for displaying the synthesis element in the display unit.SELECTED DRAWING: Figure 5

The application discloses a CAD drawing structure recovery method and system based on multi-source graphic element fusion, and relates to the technical field of CAD drawings. A corresponding multi-dimensional joint index structure is constructed based on the spatial distribution and attribute dimension of an intrinsic object model, cross-modal merging of geometric elements is carried out based on an adaptive tolerance threshold, and implicit boundaries are deduced in the presence of missing boundaries in combination with text features, so that the structural framework of the CAD drawing is recovered, and the recovery of the structural framework of the CAD drawing is realized. Multi-line semantic fusion and attribution determination are performed on the geometric elements and text features, and multi-stage spatial relationship dynamic rehearsal is performed on the recovered structural framework, so that corresponding dynamic rehearsal events are determined; a plurality of key structural contents are determined according to the identification of the dynamic rehearsal events, and an engineering object network is determined in combination with cross matching of the intrinsic object model, and the accuracy of the engineering object network is improved.

The present application provides a kind of method and related product for carrying out geometric element query in different geometry modeling engine, the method includes: in response to first user operation, determine target positioning UV parameter point coordinate from UV parameterization plane;According to target positioning UV parameter point coordinate, determine target geometric element from entity model;Determine the target geometry modeling engine of current loading entity model, and determine the target identification information of target geometric element in target geometry modeling engine.By the present application, user can select the point near the geometric element that needs to be operated by operating interactive interface, and map to corresponding geometric element by the coordinate corresponding to point, which can avoid the problems such as narrow use case scope, non-intuitive query result caused by different identification methods in different geometry modeling engine when using identification ID to query geometric element.