CN115544594A - General automatic batch three-dimensional CAD modeling scoring method - Google Patents
General automatic batch three-dimensional CAD modeling scoring method Download PDFInfo
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- CN115544594A CN115544594A CN202211148705.9A CN202211148705A CN115544594A CN 115544594 A CN115544594 A CN 115544594A CN 202211148705 A CN202211148705 A CN 202211148705A CN 115544594 A CN115544594 A CN 115544594A
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Abstract
The invention discloses a general automatic batch three-dimensional CAD modeling and scoring method. The method can ensure that the universality, the accuracy, the efficiency and the integrity of the three-dimensional CAD batch automatic grading are better. In the three-dimensional CAD modeling and scoring software, the method converts the evaluation CAD into discrete universal point cloud data through triangular surface fragmentation, and converts the comparison problem between the two CAD into the comparison problem between the CAD and the discrete universal point cloud, thereby being capable of supporting the design format of any CAD tool software.
Description
Technical Field
The invention relates to the technical field of three-dimensional CAD modeling, in particular to a general 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 contests, the technical route of the existing CAD scoring software is mainly limited to the attribute comparison of design drawings, and the scoring capability of the mode on CAD formats generated by different design software and CAD models with complex three-dimensional elements such as curved surfaces and the like is very limited.
Therefore, it is necessary to design a general automatic batch three-dimensional CAD modeling and scoring method which can ensure good generality, accuracy, efficiency and integrity of three-dimensional CAD batch automatic scoring.
Disclosure of Invention
The invention provides a general automatic batch three-dimensional CAD modeling and scoring method for solving the defects of the existing CAD scoring software, and the method can ensure that the universality, the accuracy, the efficiency and the integrity of the automatic batch scoring of the three-dimensional CAD are better.
The technical problem is solved by the following technical scheme:
the general automatic batch three-dimensional CAD modeling scoring method comprises the following implementation processes:
s1, recalculating a project template, and firstly loading the template after a CAD modeling scoring software program is started;
s2, automatically circulating all the CAD file groups to be evaluated according to the 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 a CAD modeling scoring software program;
s5, obtaining a grading result;
and S6, writing the scoring result in each time into a database for final summarization and statistics.
In the three-dimensional CAD modeling and scoring software, the method converts the evaluation CAD into discrete universal point cloud data through triangular surface fragmentation, and converts the comparison problem between the two CAD into the comparison problem between the CAD and the discrete universal point cloud, thereby being capable of supporting the design format of any CAD tool software.
Particularly, project templates and recalculation are adopted;
preferably, the project template mainly comprises the technical processes of accurate alignment between CAD and point cloud, searching paired point cloud data, calculating tolerance and grading,
the project template and the recalculation thereof can realize batch CAD modeling automatic scoring, thereby ensuring the universality, accuracy, efficiency and integrity of the three-dimensional CAD batch automatic scoring.
The method comprises the steps of performing triangular surface fragmentization on a three-dimensional CAD model, including a nominal CAD and surface fragmentization point cloud alignment process, a matching search process, a tolerance calculation process, a template recalculation process and a batch evaluation process of replacing an evaluation CAD.
The method supports the universality of various CAD formats, including the completeness 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 CAD is evaluated and converted into discrete universal point cloud data by triangular surface fragmentation after introduction; converting the main stream CAD original ecology and neutral CAD standard format into the surface-tiled point cloud data, then carrying out accurate alignment between the nominal CAD and the universal point cloud, searching point cloud matching data corresponding to nominal CAD feature elements according to form and position tolerance features after alignment, then calculating form and position tolerance by using the searched point cloud matching data, and then comparing with the nominal tolerance.
The method can support CAD formats generated by different design software and three-dimensional models with complex characteristics including curved surfaces, including mainstream CAD original ecology (AutoCAD, CATIA, creoElement/Pro, siemens NX, 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 batch CAD modeling automatic scoring.
Preferably, in step S5, the scoring is performed according to the difference in nominal tolerance.
The technical route of the CAD scoring software of the method is not limited to attribute comparison of design drawings, and the method has no limit on the scoring capability of CAD formats generated by different design software and CAD models with complex three-dimensional elements such as curved surfaces and the like.
The invention can achieve the following effects:
in the three-dimensional CAD modeling and scoring software, the method converts the testing CAD into discrete universal point cloud data through triangular surface fragmentation, and converts the comparison problem between the two CAD into the comparison problem between the CAD and the discrete universal point cloud, thereby being capable of supporting the design format of any CAD tool software. The project template and recalculation thereof can realize batch CAD modeling automatic scoring, thereby ensuring the universality, accuracy, efficiency and integrity of the three-dimensional CAD batch automatic scoring.
Drawings
FIG. 1 is a flow chart of the automatic batch CAD modeling scoring 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 with reference to the following figures and examples.
The embodiment is a general automatic batch three-dimensional CAD modeling scoring method, and is shown in figures 1-2, and the method is realized by the following steps:
s1, recalculating a project template, and firstly loading the template after a CAD modeling scoring software program is started;
s2, automatically circulating all the CAD file groups to be evaluated according to the paths of the CAD files set by the CAD modeling scoring software;
s3, updating and replacing the evaluation CAD data by loading the evaluation CAD file each time;
s4, automatically recalculating all tolerance features by a CAD modeling scoring software program;
s5, obtaining a grading result;
and S6, writing the scoring result in each time 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, the CAD is evaluated and converted into discrete universal point cloud data through triangular surface fragmentation after being imported; converting the main stream CAD original ecology and neutral CAD standard format into the tiled point cloud data, then carrying out accurate alignment between the nominal CAD and the universal point cloud, searching point cloud matching data corresponding to nominal CAD feature elements according to the geometric tolerance feature after alignment, then calculating the geometric tolerance by using the searched point cloud matching data, and then comparing with the nominal tolerance.
In step S5, a score is made based on the difference in nominal tolerance.
In the three-dimensional CAD modeling and scoring software, the method converts the evaluation CAD into discrete universal point cloud data through triangular surface fragmentation, and converts the comparison problem between the two CAD into the comparison problem between the CAD and the discrete universal point cloud, thereby being capable of supporting the design format of any CAD tool software.
Especially, project templates and recalculation are adopted;
the project template mainly comprises the technical processes of accurate alignment between CAD and point cloud, searching paired point cloud data, calculating tolerance and grading,
the project template and the recalculation thereof can realize batch CAD modeling automatic scoring, thereby ensuring the universality, accuracy, efficiency and integrity of the three-dimensional CAD batch automatic scoring.
The method can support CAD formats generated by different design software and three-dimensional models with complex characteristics including curved surfaces, including mainstream CAD original ecology (AutoCAD, CATIA, creoElement/Pro, siemens NX, 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 batch CAD modeling automatic scoring.
The method comprises the steps of performing triangular surface fragmentization on a three-dimensional CAD model, including a nominal CAD and surface fragmentization point cloud alignment process, a matching search process, a tolerance calculation process, a template recalculation process and a batch evaluation process of replacing an evaluation CAD.
The method supports the universality of various CAD formats, including the completeness 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 of the method is not limited to attribute comparison of design drawings, and the method has no limit on the scoring capability of CAD formats generated by different design software and CAD models with complex three-dimensional elements such as curved surfaces and the like.
Claims (5)
1. The general automatic batch three-dimensional CAD modeling and scoring method is characterized by comprising the following implementation processes:
s1, recalculating a project template, and firstly loading the template after a CAD modeling scoring software program is started;
s2, automatically circulating all the CAD file groups to be evaluated according to the paths of the CAD files set by the CAD modeling scoring software;
s3, updating and replacing the evaluation CAD data by loading the evaluation CAD file each time;
s4, automatically recalculating all tolerance features by a CAD modeling scoring software program;
s5, obtaining a grading result;
and S6, writing the scoring result in each time into a database for final summarization and statistics.
2. The universal automated batch three-dimensional CAD modeling and scoring method according to claim 1, wherein 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.
3. The general automatic batch three-dimensional CAD modeling and scoring method according to claim 2, characterized in that in step S4, the evaluation CAD is transformed into discrete general point cloud data through triangular surface fragmentation after being imported; converting the main stream CAD original ecology and neutral CAD standard format into the surface-tiled point cloud data, then carrying out accurate alignment between the nominal CAD and the universal point cloud, searching point cloud matching data corresponding to nominal CAD feature elements according to form and position tolerance features after alignment, then calculating form and position tolerance by using the searched point cloud matching data, and then comparing with the nominal tolerance.
4. The universal automated batch three-dimensional CAD modeling scoring method according to claim 3, wherein in step S5, scoring is performed based on differences in nominal tolerances.
5. The universal automated batch three-dimensional CAD modeling scoring method of claim 4, wherein the project template is mainly composed of the technological processes of accurate alignment between CAD and point cloud, finding paired point cloud data, calculating tolerance and scoring.
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