CN115544594B - Universal automatic batch three-dimensional CAD modeling scoring method - Google Patents
Universal automatic batch three-dimensional CAD modeling scoring method Download PDFInfo
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- CN115544594B CN115544594B CN202211148705.9A CN202211148705A CN115544594B CN 115544594 B CN115544594 B CN 115544594B CN 202211148705 A CN202211148705 A CN 202211148705A CN 115544594 B CN115544594 B CN 115544594B
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Abstract
The invention discloses a universal automatic batch three-dimensional CAD modeling scoring method. The method can ensure that the universality, the accuracy, the efficiency and the integrity of the automatic three-dimensional CAD batch scoring are good. In the three-dimensional CAD modeling scoring software, the evaluation CAD is converted into discrete universal point cloud data through triangular surface fragmentation, and the comparison problem between two CAD is converted into the comparison problem between the CAD and the discrete universal point cloud, so that the design format of any CAD tool software can be supported.
Description
Technical Field
The invention relates to the technical field of three-dimensional CAD modeling, in particular to a universal automatic batch three-dimensional CAD modeling scoring method.
Background
The CAD scoring is an important working link in computer aided design courses and various skill games, the technical route of the existing CAD scoring software is mainly limited by attribute comparison of design drawings, and the scoring capability of CAD formats generated by different design software and CAD models with curved surfaces and other complex three-dimensional elements is very limited.
Therefore, it is very necessary to design a universal automatic batch three-dimensional CAD modeling scoring method which can ensure that the three-dimensional CAD batch automatic scoring is good in universality, accuracy, efficiency and integrity.
Disclosure of Invention
The invention provides a universal automatic batch three-dimensional CAD modeling scoring method for solving the defects of the existing CAD scoring software, which can ensure that the universality, the accuracy, the efficiency and the integrity of the automatic batch scoring of the three-dimensional CAD are good.
The technical problems are solved by the following technical proposal:
the universal automatic batch three-dimensional CAD modeling scoring method comprises the following implementation processes:
s1, adopting recalculation of project templates, and loading the templates after a CAD modeling scoring software program is started;
s2, automatically cycling all evaluating CAD file groups according to paths of the CAD files set by the CAD modeling scoring software;
s3, updating the replacement evaluation CAD data by loading the evaluation CAD file each time;
s4, automatically recalculating all tolerance features by using a CAD modeling scoring software program;
s5, obtaining a scoring result;
and S6, the scoring result of each time is written into a database for final summarization and statistics.
In the three-dimensional CAD modeling scoring software, the evaluation CAD is converted into discrete universal point cloud data through triangular surface fragmentation, and the comparison problem between two CAD is converted into the comparison problem between the CAD and the discrete universal point cloud, so that the design format of any CAD tool software can be supported.
In particular, project templates and recalculation are adopted;
preferably, the project template mainly comprises accurate alignment between CAD and point cloud, searching matching point cloud data, calculating tolerance and scoring technical flow,
the project template and the recalculation thereof can realize automatic grading of CAD modeling in batches, thereby guaranteeing the universality, accuracy, efficiency and integrity of automatic grading of three-dimensional CAD batches.
And (3) performing triangular face fragmentation flow of the three-dimensional CAD model, wherein the triangular face fragmentation flow comprises a point cloud alignment flow of a nominal CAD and a faceted point cloud alignment flow, a pairing searching flow, a tolerance calculating flow, a template recalculation and a CAD batch scoring replacing and evaluating flow.
The method supports the universality of various CAD formats, including the integrity of curved surfaces and complex features, the accuracy of accurate alignment and pairing algorithms and the effectiveness of batch scoring.
Preferably, in step S1, the project template is a feature-based project template, and the project template import data is composed of a nominal CAD and an evaluation CAD.
Preferably, in step S4, the evaluation CAD is transformed into discrete universal point cloud data through triangular surface fragmentation after being imported; the main stream CAD original ecology and neutral CAD standard format are converted into faceted point cloud data, then accurate alignment between the nominal CAD and the universal point cloud is carried out, point cloud pairing data corresponding to nominal CAD feature elements are searched according to form and position tolerance features after alignment, form and position tolerance is calculated by using the searched point cloud pairing data, and comparison is carried out with the nominal tolerance.
The method can support CAD formats generated by different design software and three-dimensional models with complex features including curved surfaces, including mainstream CAD primordial ecology (AutoCAD, CATIA, creoElement/Pro, siemensNX, solidworks and the like) and neutral CAD standard formats (IGES, STEP, SAT, SAB, X _ T, X _B and the like), and the adopted project templates and recalculation can realize automatic grading of CAD modeling in batches.
Preferably, in step S5, scoring is performed based on differences in nominal tolerances.
The technical route of the CAD scoring software is not limited by attribute comparison of design drawings, and the scoring capability of the CAD scoring software for CAD formats generated by different design software and CAD models with complex three-dimensional elements such as curved surfaces is not limited.
The invention can achieve the following effects:
in the three-dimensional CAD modeling scoring software, the method converts the evaluating CAD into discrete universal point cloud data through triangular surface fragmentation, and converts the comparison problem between two CAD into the comparison problem between the CAD and the discrete universal point cloud, so that the design format of any CAD tool software can be supported. The project template and the recalculation thereof can realize automatic grading of CAD modeling in batches, thereby guaranteeing the universality, accuracy, efficiency and integrity of automatic grading of three-dimensional CAD batches.
Drawings
FIG. 1 is a flow chart of the automatic batch CAD modeling scoring process of the present invention.
FIG. 2 is a flowchart of the project scoring template calculation of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and examples.
In an embodiment, a general automatic batch three-dimensional CAD modeling scoring method, as shown in fig. 1-2, is implemented as follows:
s1, adopting recalculation of project templates, and loading the templates after a CAD modeling scoring software program is started;
s2, automatically cycling all evaluating CAD file groups according to paths of the CAD files set by the CAD modeling scoring software;
s3, updating the replacement evaluation CAD data by loading the evaluation CAD file each time;
s4, automatically recalculating all tolerance features by using a CAD modeling scoring software program;
s5, obtaining a scoring result;
and S6, the scoring result of each time is written into a database for final summarization and statistics.
In step S1, the project template is a feature-based project template, and the project template import data is composed of a nominal CAD and an evaluation CAD.
In step S4, after the CAD is imported, the CAD is subjected to triangular face fragmentation and converted into discrete universal point cloud data; the main stream CAD original ecology and neutral CAD standard format are converted into faceted point cloud data, then accurate alignment between the nominal CAD and the universal point cloud is carried out, point cloud pairing data corresponding to nominal CAD feature elements are searched according to form and position tolerance features after alignment, form and position tolerance is calculated by using the searched point cloud pairing data, and comparison is carried out with the nominal tolerance.
In step S5, scoring is performed based on the difference in nominal tolerances.
In the three-dimensional CAD modeling scoring software, the evaluation CAD is converted into discrete universal point cloud data through triangular surface fragmentation, and the comparison problem between two CAD is converted into the comparison problem between the CAD and the discrete universal point cloud, so that the design format of any CAD tool software can be supported.
In particular, project templates and recalculation are adopted;
the project template mainly comprises accurate alignment between CAD and point cloud, searching matching point cloud data, calculating tolerance and scoring technical flow,
the project template and the recalculation thereof can realize automatic grading of CAD modeling in batches, thereby guaranteeing the universality, accuracy, efficiency and integrity of automatic grading of three-dimensional CAD batches.
The method can support CAD formats generated by different design software and three-dimensional models with complex features including curved surfaces, including mainstream CAD primordial ecology (AutoCAD, CATIA, creoElement/Pro, siemensNX, solidworks and the like) and neutral CAD standard formats (IGES, STEP, SAT, SAB, X _ T, X _B and the like), and the adopted project templates and recalculation can realize automatic grading of CAD modeling in batches.
And (3) performing triangular face fragmentation flow of the three-dimensional CAD model, wherein the triangular face fragmentation flow comprises a point cloud alignment flow of a nominal CAD and a faceted point cloud alignment flow, a pairing searching flow, a tolerance calculating flow, a template recalculation and a CAD batch scoring replacing and evaluating flow.
The method supports the universality of various CAD formats, including the integrity of curved surfaces and complex features, the accuracy of accurate alignment and pairing algorithms and the effectiveness of batch scoring.
The technical route of the CAD scoring software is not limited by attribute comparison of design drawings, and the scoring capability of the CAD scoring software for CAD formats generated by different design software and CAD models with complex three-dimensional elements such as curved surfaces is not limited.
Claims (2)
1. The universal automatic batch three-dimensional CAD modeling scoring method is characterized by comprising the following implementation processes:
s1, adopting recalculation of project templates, and loading the templates after a CAD modeling scoring software program is started;
s2, automatically cycling all evaluating CAD file groups according to paths of the CAD files set by the CAD modeling scoring software;
s3, updating the replacement evaluation CAD data by loading the evaluation CAD file each time;
s4, automatically recalculating all tolerance features by using a CAD modeling scoring software program;
s5, obtaining a scoring result;
s6, the scoring result of each time is written into a database for final summarization and statistics;
in the step S1, the project template is a project template based on characteristics, and the project template importing data consists of a nominal CAD and an evaluation CAD;
in step S4, after the CAD is imported, the CAD is subjected to triangular face fragmentation and converted into discrete universal point cloud data; the main stream CAD original ecology and neutral CAD standard format are converted into faceted point cloud data, then accurate alignment between the nominal CAD and the universal point cloud is carried out, point cloud pairing data corresponding to nominal CAD feature elements are searched according to form and position tolerance features after alignment, form and position tolerance is calculated by using the searched point cloud pairing data, and comparison is carried out with the nominal tolerance.
2. The universal automated batch three-dimensional CAD modeling scoring method of claim 1, wherein in step S5, scoring is performed based on differences in nominal tolerances.
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