CN118313133A - PloughCAE model-based bolt automation label construction method, ploughCAE model-based bolt automation label construction system and storage medium - Google Patents
PloughCAE model-based bolt automation label construction method, ploughCAE model-based bolt automation label construction system and storage medium Download PDFInfo
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- CN118313133A CN118313133A CN202410454308.7A CN202410454308A CN118313133A CN 118313133 A CN118313133 A CN 118313133A CN 202410454308 A CN202410454308 A CN 202410454308A CN 118313133 A CN118313133 A CN 118313133A
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Abstract
The invention relates to a method for constructing an automatic bolt label based on PloughCAE model. The method comprises the steps of importing a CAE model; identifying a bolt participant in the model and importing the bolt participant as a node into the model; identifying bolt nodes and automatically generating labels; storing the spatial position information of the bolt node in a tag meta-information database in the form of a tag; through modifying the bolt node labels, corresponding bolt node information in the CAE model is synchronously modified; and generating a result file by exporting the tag, and visually displaying the spatial position information of the bolt and the analysis result. According to the method, the bolts can be automatically identified and the labels can be created in batches by identifying the bolt participants in the CAE model in the form of the nodes, the information of the bolt nodes can be synchronously modified by adding, deleting and modifying the information in the labels, the real-time performance and accuracy of the bolt information are ensured, and the spatial information and analysis results of the bolt nodes can be visually displayed by exporting the labels.
Description
Technical Field
The invention belongs to the technical field of automatic label construction methods, and particularly relates to a PloughCAE model-based bolt automatic label construction method, a PloughCAE model-based bolt automatic label construction system and a storage medium.
Background
The CAE software used at present only supports manual creation of labels, and the exported file only comprises the spatial position of the node, and lacks other information. Aiming at certain special industries, such as the automobile and aerospace industries, the existing CAE software can only be processed singly in a manual mode due to a large number of bolt units in the CAE model, so that the workload is extremely high, a large amount of manpower is consumed, and the problems that node information is incomplete, data reading and data processing cannot be performed and the like exist.
Disclosure of Invention
In order to overcome the defects that the existing CAE software only supports manual label creation, large workload and incomplete node information, the invention provides a novel automatic bolt label construction method based on PloughCAE models.
The invention aims to provide an implementation method for constructing a bolt automation label based on PloughCAE model, which is characterized in that firstly, a bolt participant in PloughCAE model is used as a node to be imported, the ID and the corresponding spatial position relation of each node are obtained, and the classified bolt node ID and the corresponding spatial position relation are stored in a meta-information database according to the category; then calling a preset bolt node, automatically generating a corresponding tag based on a tag rule or normalized data set by an algorithm, storing the tag in a tag meta-information database, and synchronously storing bolt data and loads in real time; meanwhile, the corresponding bolt information in the model can be synchronously modified by modifying the information on the label, so that the bolt units can be conveniently added and deleted in batches and modified. Through the process, the aim of constructing the bolt automation label by the PloughCAE model is fulfilled, and business and intelligent label service and application display are provided for PloughCAE bolt model monitoring and intelligent analysis.
Specifically, in a first aspect, the invention provides a method for constructing an automatic bolt tag based on PloughCAE model, which comprises the following steps:
s1, importing a CAE model;
s2, identifying a bolt participant in the CAE model and importing the bolt participant into the CAE model as a node;
s3, identifying bolt nodes in the CAE model and automatically generating labels;
s4, storing the spatial position information of the bolt node in the CAE model in a tag metadata information database in a tag mode;
s5, synchronously modifying corresponding bolt node information in the CAE model through modification of the bolt node labels, and storing the modification information in a label meta-information database in a classified manner;
s6, generating a result file by exporting the tag, and visually displaying the spatial position information of the bolt and the analysis result.
Further, in the method for constructing the automated bolt tag based on PloughCAE model, in step S2, the method for identifying the bolt participants in the CAE model and importing the identified bolt participants as nodes into the CAE model further comprises: and acquiring the ID and the corresponding spatial position relation of each bolt node, classifying according to a preset rule, and storing the ID and the corresponding spatial position relation of the bolt node in a metadata database according to the classification.
Further, in the method for constructing the automated bolt tag based on PloughCAE model, the classifying according to the preset rule includes:
(1) Extracting keywords of the bolt model by identifying the name of the geometric model of the bolt, and matching load data of the corresponding bolt according to the keywords;
(2) Recording a theoretical limit load value corresponding to the type of bolt, and calculating the safety margin of the bolt;
(3) Bolts are classified and managed by remarks.
Further, in the method for constructing the bolt automation label based on PloughCAE model, in the step S3, the step of identifying the bolt node in the CAE model and automatically generating the label refers to automatically generating the corresponding label based on the label rule or normalized data set by the algorithm for the called bolt node.
Further, in the method for constructing the bolt automation label based on PloughCAE model, in step S3, the bolt node in the CAE model is identified, the label is automatically generated, and the automatically generated label contains the following bolt information: bolt model, bolt material, actual load, safety margin, constraint information, and spatial position information.
Further, in step S4 of the method for constructing the automated bolt tag based on PloughCAE model, the method stores the spatial position information of the bolt node in the CAE model in the tag meta information database in the form of a tag, and further includes: and synchronously storing the bolt information data and the load in real time.
Further, in the method for constructing the bolt automatic label based on PloughCAE model, the modification of the bolt node label in the step S5 comprises adding and deleting information on the label and modifying the information on the label.
Further, in the step S5 of the automatic bolt tag construction method based on PloughCAE model, the modified information is classified and stored in a tag meta-information database, and the tag meta-information database contains the following bolt basic information: ID of bolt node, spatial location information, bolt model, bolt material, material shear strength, material tensile strength, shear failure load, tensile failure load, bolt safety margin, remark information.
In a second aspect, the present invention also provides a system for constructing an automated bolt tag based on PloughCAE model, the system comprising:
and a bolt node importing module: the method comprises the steps of identifying bolt participants in a CAE model and importing the bolt participants into the CAE model as nodes;
the label generating module: the method comprises the steps of identifying bolt nodes in a CAE model and automatically generating labels;
An information storage module: the method comprises the steps of storing spatial position information of bolt nodes in a CAE model in a tag meta-information database in the form of tags, and storing tag modification information in the tag meta-information database in a classified manner;
And a label modifying module: the method is used for modifying the bolt node labels and synchronously modifying corresponding bolt node information in the CAE model;
And a label export module: the method comprises the steps of outputting a label to generate a result file;
the result display module: and the device is used for visually displaying the spatial position information and the analysis result of the bolt.
The modules operate according to the automatic bolt tag construction method based on PloughCAE model.
Finally, the invention also provides a computer readable storage medium, wherein the storage medium is stored with a computer program, and the program is executed by a processor to realize the steps of the automatic bolt label construction method based on PloughCAE model.
In summary, the method for constructing the bolt automation label based on PloughCAE model has the following advantages:
(1) The method improves the method that the original CAE model needs to manually create the label, and automatically creates the label in the form of nodes by identifying bolt participants in the CAE model.
(2) According to the method, the information of the bolt node is synchronously modified by adding, deleting and modifying the information in the tag, so that the real-time performance and accuracy of the bolt information are ensured.
(3) According to the method, the corresponding result file can be generated by leading out the bolt node label, the spatial information and the analysis result of the bolt node can be visually displayed, and better use experience is provided for a user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that need to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the following drawings are only some embodiments described in the present invention, and other drawings can be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flow chart of an overall implementation of the method of the present invention.
FIG. 2 is a schematic diagram of a CAE view area bolt unit tag in the method of the present invention.
Fig. 3 is a table diagram of basic information excel of bolts contained in the tag meta information database in the method of the present invention.
Fig. 4 is a diagram of basic information composition of bolts contained in a tag meta information database in the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and the present invention may be implemented or applied by different specific embodiments, and that various modifications or changes may be made in the details of the present description based on different points of view and applications without departing from the spirit of the present invention.
Meanwhile, it should be understood that the scope of the present invention is not limited to the following specific embodiments; it is also to be understood that the terminology used in the examples of the invention is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the invention.
Example 1: automatic bolt label construction method based on PloughCAE model
As shown in fig. 1, the method comprises the following steps:
s1, importing a CAE model.
S2, identifying a bolt participant in the CAE model and importing the bolt participant into the CAE model as a node.
Obtaining IDs and corresponding spatial position relations of all the bolt nodes, and classifying according to the following rules:
(1) Extracting keywords of the bolt model by identifying the name of the geometric model of the bolt, and matching load data of the corresponding bolt according to the keywords;
(2) Recording a theoretical limit load value corresponding to the type of bolt, and calculating the safety margin of the bolt;
(3) Bolts are classified and managed by remarks.
And finally, storing the bolt node IDs and the corresponding spatial position relations in a metadata database according to the categories.
S3, identifying bolt nodes in the CAE model, automatically generating tags, calling the bolt nodes, automatically generating corresponding tags based on tag rules or normalized data set by an algorithm, wherein the bolt unit tags in the CAE view area are shown in FIG. 2, and the automatically generated tags contain the following bolt information: bolt model, bolt material, actual load, safety margin, constraint information, and spatial position information.
S4, storing the spatial position information of the bolt nodes in the CAE model in a tag metadata information database in a tag mode, and synchronously storing the bolt information data and the load in real time.
S5, through modification of the bolt node labels, including adding and deleting information and modification of the labels, corresponding bolt node information in the CAE model is synchronously modified, and the modified information is classified and stored in a label meta-information database, wherein the label meta-information database comprises the following bolt basic information as shown in fig. 3 and 4: ID of bolt node, spatial location information, bolt model, bolt material, material shear strength, material tensile strength, shear failure load, tensile failure load, bolt safety margin, remark information.
S6, generating a result file by exporting the tag, and visually displaying the spatial position information of the bolt and the analysis result.
Example 2: automatic bolt label construction system based on PloughCAE model
The system comprises:
and a bolt node importing module: the method comprises the steps of identifying bolt participants in a CAE model and importing the bolt participants into the CAE model as nodes;
the label generating module: the method comprises the steps of identifying bolt nodes in a CAE model and automatically generating labels;
An information storage module: the method comprises the steps of storing spatial position information of bolt nodes in a CAE model in a tag meta-information database in the form of tags, and storing tag modification information in the tag meta-information database in a classified manner;
And a label modifying module: the method is used for modifying the bolt node labels and synchronously modifying corresponding bolt node information in the CAE model;
And a label export module: the method comprises the steps of outputting a label to generate a result file;
the result display module: the method is used for visually displaying the spatial position information and the analysis result of the bolt;
The above modules operate according to the automated bolt tag construction method based on PloughCAE model described in example 1.
The present invention is not limited to the preferred embodiments, and any equivalent modifications and variations in light thereof can be made by those skilled in the art without departing from the scope of the present invention, but are intended to be encompassed by the following claims.
Claims (10)
1. A method for constructing an automated bolt tag based on PloughCAE models, the method comprising:
s1, importing a CAE model;
s2, identifying a bolt participant in the CAE model and importing the bolt participant into the CAE model as a node;
s3, identifying bolt nodes in the CAE model and automatically generating labels;
s4, storing the spatial position information of the bolt node in the CAE model in a tag metadata information database in a tag mode;
s5, synchronously modifying corresponding bolt node information in the CAE model through modification of the bolt node labels, and storing the modification information in a label meta-information database in a classified manner;
s6, generating a result file by exporting the tag, and visually displaying the spatial position information of the bolt and the analysis result.
2. The method for automatically constructing a bolt automation tag based on PloughCAE model according to claim 1, wherein in step S2, the identifying and importing the bolt participants in the CAE model as nodes into the CAE model further includes: and acquiring the ID and the corresponding spatial position relation of each bolt node, classifying according to a preset rule, and storing the ID and the corresponding spatial position relation of the bolt node in a metadata database according to the classification.
3. The automated bolt tag construction method based on PloughCAE model of claim 2, wherein said categorizing according to a preset rule comprises:
(1) Extracting keywords of the bolt model by identifying the name of the geometric model of the bolt, and matching load data of the corresponding bolt according to the keywords;
(2) Recording a theoretical limit load value corresponding to the type of bolt, and calculating the safety margin of the bolt;
(3) Bolts are classified and managed by remarks.
4. The method for automatically constructing a label on a bolt based on PloughCAE models according to claim 1, wherein in step S3, the step of identifying the bolt node in the CAE model and automatically generating the label refers to automatically generating a corresponding label on the basis of a label rule or normalized data set by an algorithm for the called bolt node.
5. The automated bolt tag construction method based on PloughCAE models of claim 4, wherein in step S3, the bolt nodes in the CAE model are identified and tags are automatically generated, and the automatically generated tags include the following bolt information: bolt model, bolt material, actual load, safety margin, constraint information, and spatial position information.
6. The automated bolt tag construction method based on PloughCAE model according to claim 1, wherein in step S4, the storing the spatial position information of the bolt node in the CAE model in the tag meta information database in the form of a tag further includes: and synchronously storing the bolt information data and the load in real time.
7. The automated bolt tag construction method based on PloughCAE model of claim 1, wherein the modification of the bolt node tag in step S5 includes adding or deleting information on the tag, and modifying.
8. The automated bolt tag construction method based on PloughCAE model of claim 1, wherein in step S5, the modified information classification is stored in a tag meta information database, and the tag meta information database contains the following bolt basic information: ID of bolt node, spatial location information, bolt model, bolt material, material shear strength, material tensile strength, shear failure load, tensile failure load, bolt safety margin, remark information.
9. A system for automated bolt tag construction based on PloughCAE models, the system comprising:
and a bolt node importing module: the method comprises the steps of identifying bolt participants in a CAE model and importing the bolt participants into the CAE model as nodes;
the label generating module: the method comprises the steps of identifying bolt nodes in a CAE model and automatically generating labels;
An information storage module: the method comprises the steps of storing spatial position information of bolt nodes in a CAE model in a tag meta-information database in the form of tags, and storing tag modification information in the tag meta-information database in a classified manner;
And a label modifying module: the method is used for modifying the bolt node labels and synchronously modifying corresponding bolt node information in the CAE model;
And a label export module: the method comprises the steps of outputting a label to generate a result file;
the result display module: and the device is used for visually displaying the spatial position information and the analysis result of the bolt.
10. A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the PloughCAE model-based bolt automation label construction method of any one of claims 1 to 8.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410454308.7A CN118313133A (en) | 2024-04-16 | 2024-04-16 | PloughCAE model-based bolt automation label construction method, ploughCAE model-based bolt automation label construction system and storage medium |
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| CN202410454308.7A CN118313133A (en) | 2024-04-16 | 2024-04-16 | PloughCAE model-based bolt automation label construction method, ploughCAE model-based bolt automation label construction system and storage medium |
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