CN112001047B - Radar key part process design method based on PMI information - Google Patents
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Abstract
The invention provides a radar key part process design method based on PMI information, which comprises the following steps: extracting text annotation information, dimensional tolerance information and geometric feature information associated with the dimensional tolerance information in an MBD model of the radar key part; performing similarity calculation on the geometric feature information and the geometric feature information of the typical object, determining the category of the radar key parts, and acquiring a process route of the corresponding category; comparing the text annotation information with a typical process template library to obtain a process template corresponding to the text annotation information; sequencing the process routes and the process templates to generate an optimal process route; and inputting the dimensional tolerance information into the optimal process flow to complete the process design. The invention obtains the process route by evaluating the characteristic similarity of the target part and the typical part, deduces the procedure content according to the PMI information, and simultaneously directly calls the geometric tolerance information, reduces the error rate of information input and improves the process design efficiency.
Description
Technical Field
The invention relates to the technical field of process design, in particular to a process design method for radar key parts based on PMI information.
Background
PMI (Product Manufacturing Information) is manufacturing information marked on the three-dimensional model, and all manufacturing information such as size, tolerance, technical requirement and the like which are originally reflected on the two-dimensional drawing are expressed on the three-dimensional model. The PMI information includes product manufacturing information such as basic dimensions and tolerances, shape and position tolerances, surface roughness, benchmarks, design and production specifications, etc.
Most of the key components of the phased array radar are complex deep cavity thin wall parts, which are important parts affecting microwave performance, and have high requirements on part precision and complex processing procedures. Usually, a product designer finishes a three-dimensional model of a product, marks the information of parts PMI (Product Manufacturing Information) in the three-dimensional model, files the model, converts the model into a light-weight format, and then transmits the model to a process department for process detailed design. In the traditional process design, a process designer needs to understand and digest manufacturing information such as size, tolerance requirement, technical requirement and the like in a model, meanwhile, the process design is carried out by experience or by searching for similar examples in the past, the process programming period is long, the process programming quality depends on the personal technical level and experience of process personnel, the programming of a process route in the process programming process is not uniform, the manually input size and tolerance information is easy to miss and error, effective specification cannot be carried out, the reuse rate of process knowledge is low, the intelligent level of the process design is low, refined management and optimization cannot be carried out, and the requirement of rapid and efficient development of radar key parts cannot be met.
At present, the production of radar complex structural members is a typical small-batch and multi-variety product, different structural members are distributed to different technicians in the existing process, so that the same or similar process routes in the different structural members are different, and therefore, the standardized process routes cannot be carried over, and the existing resources cannot be shared in time.
Disclosure of Invention
The invention provides a process design method for comparing a target part with typical part feature instantiation process routes in a process knowledge base through overall feature similarity calculation and instantiating process contents according to relation mapping of PMI information and process templates and process reasoning.
Specifically, the invention provides a process design method of radar key parts based on PMI information, which is characterized by comprising the following steps:
step S1: extracting text annotation information, dimensional tolerance information and geometric feature information associated with the dimensional information in an MBD model of the radar key part;
step S2: performing similarity calculation on the geometric feature information and the geometric feature information of the typical object, determining the category of the radar key parts, and acquiring a process route of the corresponding category;
step S3: comparing the text annotation information with a typical procedure template library to obtain a procedure template corresponding to the text annotation information;
step S4: sequencing the process routes and the process templates to generate an optimal process route;
step S5: and inputting the dimensional tolerance information into the optimal process flow to complete the process design.
Further, in step S1, the geometric feature information represents the position and type between different planes by using a two-dimensional matrix T [ i, j ];
the two-dimensional matrix T [ i, j ] is a square matrix, wherein the number of rows and columns is the number of faces in the geometric characteristic information, and elements in the two-dimensional matrix T [ i, j ] are the relationship or types between the faces represented by the rows where the elements are located and the surface of the generation of the columns where the elements are located.
Further, in step S1, in the two-dimensional matrix T [ i, j ], if i+.j, the relationship between i-plane and j-plane is represented; if the i face and the j face are intersected, the two faces are in a concave relation or a convex relation, and if the i face and the j face are not intersected, the two faces are not in a relation; 0 on the bit represents a concave relationship and 1 on the bit represents a convex relationship; the ten digits are respectively represented by numbers 1, 2 and 3, wherein the plane is intersected with the plane, the plane is intersected with the cylindrical surface, and the cylindrical surface is intersected with the cylindrical surface;
in the two-dimensional matrix T [ i, j ], if i=j, the array element represents the type of face; a single digit 1 represents an inner surface and a single digit 0 represents an outer surface; the tens number 1 represents a plane and the tens number 2 represents a cylinder.
Further, in step S2, the geometric feature and the size information associated with the geometric feature are expressed in terms of a tree structure;
the tree structure is provided with 3 levels, level 1 of the tree structure represents a part model, level 2 represents each geometrical feature in the part model, and level 3 represents each size information in the geometrical feature.
Further, in step S2, the similarity calculation formula of the tree structure is defined as:
wherein x, y respectively represent the structural tree of the radar typical parts and the typical objects, e x And e y Respectively representing edge sets of any two nodes which are directly connected in the structural tree of the radar typical part and the typical object; feature (e) x ∩e y ) Representing the number of elements after intersection of the edge sets of the model tree structures to be compared; feature (e) x ∪e y ) Representing the number of elements after the union set is taken by the edge set of the model tree structure to be compared.
Further, in step S2, a typical object class with the maximum similarity calculation result and a threshold value greater than 0.8 is selected as the class of the radar key component.
Further, in step S3, the text comment information includes fields including a heat treatment process, a plating process, a painting process, and a marking process.
Further, in step S3, the fields of the electroplating process or the painting process are respectively matched with the marks in the industry manual according to bytes, and if the byte matching property reaches the threshold value of 0.8, the mark matching is successful, and the process template of the electroplating process or the painting process is obtained.
Further, in step S3, the fields of the heat treatment process include any of "heat treatment", "solid solution aging", "normalizing", "annealing", "quenching", "tempering", "QPQ", "carburizing", and "nitriding", and a process template of the heat treatment process is obtained.
Further, in step S3, the field of the marking process includes any one of "lettering", "printing" and "marking", and a process template of the marking process is obtained.
The beneficial effects of the invention are as follows:
the invention relates to a method for realizing the process design of radar key parts by adopting the overall feature similarity evaluation cost to implement the process content of the similarity instantiation process of typical part features in a target part and process knowledge base, locally according to the relation mapping and rule reasoning instantiation process content of PMI information and process templates, simultaneously automatically pushing PMI geometric tolerance information in the process design process in the form of a structured list, realizing direct calling, reducing the error rate of size tolerance information input without manual input, and efficiently carrying out the process design of radar key parts. The efficiency of the process programming by using the method can be improved by 20%, the error correction rate of the process programming is improved by 80%, and the efficiency and the intelligent level of the process programming of key components of the phased array radar are obviously improved.
Drawings
Fig. 1 is a schematic flow chart of a process design method of a radar key part based on PMI information provided by the embodiment of the invention;
fig. 2 is a schematic diagram of a geometric model for feature recognition in a process design method of a radar key component based on PMI information provided by the embodiment of the invention;
FIG. 3 is a schematic diagram of a feature structure tree of a typical radar part model in a process design method of a key radar part based on PMI information according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a typical object model feature structure tree in a first process template library to be compared in a process design method of a radar key component based on PMI information according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a typical object model feature structure tree in a second process template library to be compared in a process design method of a radar key component based on PMI information according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further specifically described below by means of examples and with reference to fig. 1-5.
As shown in fig. 1, the invention provides a radar key part process design method based on PMI information, which comprises the following steps:
step S1: extracting text annotation information, dimensional tolerance information and geometric feature information associated with the dimensional information in an MBD model of the radar key part;
step S2: performing similarity calculation on the geometric feature information and the geometric feature information of the typical object, determining the category of the radar key parts, and acquiring a process route of the corresponding category;
step S3: comparing the text annotation information with a typical process template library to obtain a process template corresponding to the text annotation information;
step S4: sequencing the process routes and the process templates to generate an optimal process route;
step S5: and inputting the dimensional tolerance information into the optimal process flow to complete the process design.
In step S1, the information in the MBD model is classified and managed first, and mainly includes: PMI information and geometric feature information.
The PMI information in the three-dimensional model comprises product manufacturing information such as basic size, tolerance, shape, position tolerance, surface roughness, design and technical requirements; generally, the text annotation information and the dimensional tolerance information can be divided into two types, wherein the dimensional tolerance information roughly comprises surface roughness, dimensional tolerance, geometric tolerance, reference, basic size and the like; the text annotation information includes product design requirements, function summaries, technical requirements, etc. The technical requirements, the surface roughness, the dimensional tolerance and the form tolerance information of the text annotation information are respectively extracted, the surface roughness, the dimensional tolerance and the form tolerance information are extracted in a list form, and the technical requirements of the text annotation information are extracted in an XML file form.
The geometric characteristic information comprises special solidified geometric characteristic figures such as cavities, bosses, square holes, round holes and the like in a three-dimensional model of key parts in the radar industry. The invention adopts a feature recognition method based on graph matching to extract geometric feature information associated with labeling size in a three-dimensional model, and the feature extraction comprises feature recognition and information extraction.
The feature recognition is a process of extracting engineering-meaning geometric feature information from a three-dimensional solid model of the part, and the engineering-meaning geometric feature information is marked with dimensions. In the feature recognition method based on boundary matching, a feature matrix recognition method is provided for the limitation of feature recognition of round holes, bosses and the like. Different from the traditional attribute adjacency graph, which adopts single numbers 0 and 1 to represent the concave-convex relationship between adjacent surfaces, the two-dimensional matrix T [ i, j ] is utilized to reflect the positions and types of different surfaces in the geometric characteristic information, the relationship between non-adjacent surfaces is expressed, and the expression range is expanded.
The two-dimensional matrix T [ i, j ] is a square matrix, wherein the number of rows and columns is the number of faces in the geometric characteristic information, and elements in the two-dimensional matrix T [ i, j ] are the relationship or types between the faces represented by the rows where the elements are located and the surfaces represented by the columns where the elements are located.
For the array element T [ i, j ], if i is not equal to j, the relationship between the i plane and the j plane is represented, and if the i plane is not intersected with the j plane, the i plane and the j plane are not related, and the value 0 is used for representing; if the i plane intersects the j plane, the two planes are in a concave relationship or a convex relationship, if a two-digit number is used to expand the concave-convex relationship between different types of profiles, the concave-convex relationship can be represented by 0 and 1 on the bit, the plane intersects the plane, the plane intersects the cylinder, the cylinder intersects the cylinder on the ten bits by the numbers 1, 2, 3, for example, two intersecting planes with convex relationship can be represented by 11, 10 represents two intersecting planes with concave relationship, 21 represents intersecting cylinder and plane (hole) with convex relationship, and so on. If i=j, the array element represents the type of face, then the ones in the two digits represent the outer and inner surfaces, where 1 is the inner surface and 0 is the outer surface; the tens number 1 represents a plane, 2 represents a cylinder, and no division of the inner and outer surfaces exists for the plane; and for the cylindrical surface, if it is the outer surface, it is the cylindrical surface, if it is the inner surface, it is the surface constituting the circular hole, for example, 21 indicates that the i-th surface is the cylindrical surface at this time, and 20 indicates that the j-th surface is the surface constituting the circular hole.
As shown in fig. 2, the geometric model shows a square through hole, which is represented by a feature matrix:
feature extraction: the invention comprises geometric features and non-geometric features in a CAD model under a three-dimensional software Pro/E platform, wherein the model MBD information is required to be obtained, the features of the model are required to be traversed, and the traversed features are screened to screen out the non-geometric feature information. Pro/E provides a secondary development tool and corresponding traversal function to traverse the model. In the process of obtaining MBD information, firstly, the type of a feature is judged through a filtering function, the type of MBD information represented by non-geometric feature information is screened out, then the MBD information is stored in the form of an XML file and a list, and meanwhile, whether the information MBD has a feature data table or not is judged, namely, whether the MBD information is associated with geometric feature information or not is judged, if the MBD information is associated with the geometric feature information, the associated geometric feature information is extracted, and the geometric feature information is stored in a data set of the associated MBD information in the form of a feature matrix.
As shown in fig. 3, in step S2, for convenience of similarity calculation, geometric feature information of typical radar components and size information associated with the geometric feature information are expressed according to a tree structure; the tree structure has 3 levels, level 1 of the tree structure represents the part model, level 2 represents each geometrical feature in the part model, and level 3 represents each size information in the geometrical feature. After extracting the PMI size and related features thereof, performing similarity calculation by comparing the features and the feature sizes; and comparing the calculation result with the characteristics and the characteristic sizes of typical objects in a preset process template library, selecting the typical object with the highest characteristic similarity and the characteristic similarity larger than a threshold value of 0.8, and acquiring a process route corresponding to the typical object. The process template library is summarized according to long-term working practice by process personnel, is used as a process knowledge warehouse for unified management, is subjected to review and screening to obtain a cured radar key part process route template, and comprises the following steps: the method comprises the steps of examining and approving the objects such as a waveguide, a loudspeaker and other microwave components, a main body frame, a machine shell, a cold plate, a panel and the like through an expert, and archiving the objects stored in a process knowledge base under the classification of typical object process route templates.
In one embodiment, as shown in FIGS. 4-5, in a structural tree T of typical objects in a library of radar-typical parts and process templates, u→v represents the edge of any two directly connected nodes in the tree, e T Representing the edge set of the feature structure tree. The edge sets of the feature structure trees T1, T2, T3 to be compared are denoted e, respectively T1 、e T2 、e T3 The method comprises the following steps:
e T1 ＝{A→B,A→C,A→D,B→B1,B→B2,C→C1,C→C2,D→D1,D→D2}；
e T2 ＝{A→B,A→C,A→D,B→B1,B→B2,C→C1,C→C2,C→C3,D→D1,D→D2}；
e T3 ＝{A→B,A→C,A→D,B→B1,B→B2,B→B3,C→C1,C→C2,C→C3,D→D1,D→D2,D→D3}；
if in two sets of edges e T And e T′ Where there are edges u→v and u '→v', respectively, satisfying u=u 'and v=v', then u→v is considered to match u '→v', which is referred to as an edge constraint. The greater the number of edge constraints that exist for the two compared models, the more similar they are. The number of elements in the finite set s is denoted as feature(s), and two structural tree similarity formulas are defined as:
wherein x and y represent two model feature structure trees and size trees to be compared; feature (e) x ∩e y ) Representing the number of elements after intersection of two feature and size component edge sets, namely the number of edges which can be matched with each other in two structural trees; feature (e) x ∪e y ) The number of elements after the two structural tree edges are collected and merged is represented, namely the number of types of edges contained in the two structural trees.
According to the formula, the similarity among three model feature structure trees is as follows:
from this, it can be derived that the feature tree T1 has the highest similarity to the feature tree T2. If T1 is a feature structure tree of a radar typical part model, T2 and T3 are feature structure trees of typical object models in a process template library to be compared, the similarity of the structure tree T2 and T1 is higher than the similarity of the structure tree T3 and T1, the feature similarity of T1 and T2 satisfies a threshold value of 0.8, the system calculates that the typical object model T2 in the process template library has similarity with the radar typical part model T1 according to the similarity, and can reuse the process route of the typical object model T2 in the process template library, and then obtains the process route of T2 in the process knowledge library.
In step S3, the content of the relevant fields in the technical requirement text in the text annotation information is locally analyzed to be matched with a typical process template library, wherein the typical process template library comprises relevant labeling specification requirements such as an industry surface treatment manual, a heat treatment manual and the like, and relevant fields contained in the technical requirement text are mapped to corresponding process templates. The technical requirement text contains a great deal of relevant information related to the subsequent process, such as: the content of the fields such as heat treatment, plating, paint, mark making and the like requires that the subsequent process steps comprise corresponding heat treatment procedures, electroplating procedures, paint procedures, mark making and the like, and the requirements of plating (electroplating), coating (paint), mark making and heat treatment on workpieces in the technical requirements of the three-dimensional model are marked according to marks specified by an industry manual according to the general specification requirements of marking the three-dimensional model of the industry.
Matching principle of electroplating and paint labeling: according to the standardized requirements of plating and coating marks in the industry manual, text information of technical requirements is extracted to be matched with marks in the industry manual table, the matching is carried out according to bytes, and if the byte matching performance reaches a threshold value of 0.8, the default mark matching is successful.
The text similarity calculation formula is as follows:
wherein m and n respectively represent the number of elements after electroplating and painting fields in the text annotation information and the number of elements with the largest overlap ratio in electroplating and painting annotation in an industry manual table; text (e) m ∩e n ) The number of elements after electroplating and painting fields in the text annotation information and the number of overlapped elements in electroplating and painting labels in an industry manual table are represented; text (e) m ∪e n ) The number of elements after the number of the text annotation information fields and the number of the electroplating and paint annotation fields in the industry manual form a union are represented.
Matching principle of heat treatment labeling:
the identification requirement for the heat treatment field is to read relevant fields in the calculation requirement, and the field content comprises: "heat treatment", "solid solution aging", "normalizing", "annealing", "quenching", "tempering", "QPQ", "carburizing", "nitriding", etc., the rules of reading the fields are perfect matches. I.e. the default process route includes a heat treatment procedure as long as any of the above fields are included in the technical requirements.
Matching principle of marking and labeling:
the matching principle for the identification procedure in the technical requirement is to identify the fields in the text information, which comprises the following steps: lettering, printing, marking, etc., the rules of reading the fields are perfect matches. That is, as long as any one of the above fields is included in the technical requirements, the default process route includes the identification making procedure.
In step S4, for the cited process route and process template, only the similarity is large, and further process arrangement is required in detail to generate an optimal process route, wherein the content of the process arrangement includes process sequence adjustment, similar process modification, repeated process deletion, missing process addition and process content editing; the sequence adjustment is adjusted by the system through a configuration list, and the similar sequence modification, repeated sequence deletion and missing sequence addition are manually adjusted by a process staff.
The sequence of the working procedures is adjusted, namely, the identified working procedures are ordered, the ordering is realized by a configuration list according to the process rule, the system performs point selection by using the solidified process flow, manual input is not allowed, and the content comprises: preparing materials, rough machining, heat treatment, finish machining, inspection, preparing materials, rough machining, finish machining, inspection, electroplating, marking, preparing materials, rough machining, finish machining, inspection, electroplating, painting, marking and the like;
and deleting redundant procedures, namely deleting procedures which are not matched with the target model in the cited overall similar process.
The lack of the addition of procedures, i.e. the cited overall similar process is not present, and the target model is added according to the required procedures of the process.
Modification of similar procedures, namely, correction of procedures which can be matched with a target model in the cited overall similar process, but are slightly different in details, such as adjusting the content of the procedures, tooling information tables and the like.
The process content editing, namely, defining the main control unit and the process resource involved in the process.
In step S5, when editing the process step content under each process step in the optimal process route, the system pushes the dimensional tolerance information extracted from the PMI to the editing interface in a list form, directly calls the dimensional and tolerance information through point selection, and does not need manual editing, thereby completing process programming.
Specifically, in one embodiment, pro/Engineer is used as a support platform for CAD information acquisition, and Visual Studio2008 is used as a development environment for Pro/Engineer auxiliary applications. Acquiring a handle of the CAD model by using a function ProMdlCurrentGet (), acquiring features of the part model by using a feature acquisition function ProFeatureGet (), screening size features, accessing information about the size of the model by using a ProSolidDimenssioVisit (), and filtering tolerance size information meeting the requirements by using a filtering action function ProDimensFilterAction (), wherein related functions can acquire the size symbols, types, size deviation and size attachment feature element ID; and save it with a list.
For textual information of annotation class, the ProToolkit function library provides a corresponding annotation problem extraction function: proMdlnoteVisitt (), proNoteTextGet (), proNoteOwner (), and the like; and stored in the form of XML files.
After extracting geometric feature information associated with the sign, type and size deviation of the size in the PMI information, storing the features in the form of XML files; the type (Feature) is used as a parent node and contains the respective Feature sizes (denoted here as x, y, z, for facilitating the calculation of the Feature volume later) and the Feature profile Roughness (Roughness), while the Material information (Material), the part basic information (basic info) and the blank size (Work blank size) are at the same level as the Feature type and all belong to the parent node of the machining Feature information (ProcessInfo).
The process template library is summarized according to long-term working practices by process personnel and is used as a process knowledge warehouse for unified management. The radar key part process route template after being subjected to review and screening and solidification comprises the following steps: the method comprises the steps of examining and approving the objects such as a waveguide, a loudspeaker and other microwave components, a main body frame, a machine shell, a cold plate, a panel and the like through an expert, and archiving the objects stored in a process knowledge base under the classification of typical object process route templates. And in the process of technological design, the template is used for unified management through authority control. Also as typical process routes for the radar electronics industry, are: the process procedures of heat treatment, paint, electroplating, conductive oxidation, marking and the like have unified technical file marking specifications according to the design requirements of an industrial digital model, and different processes corresponding to the technical file marking are unified managed in a system as process rules through a configuration file list. The ontology description language OWL and the rule language SWRL are used to build an ontology knowledge base and a rule base.
Comparing the extracted geometric feature information and the size information related to the geometric feature information with the geometric feature information of each typical object in the process template library and the size information related to the geometric feature information in a feature similarity comparison mode, selecting the typical object with the highest feature similarity and the feature similarity larger than a threshold value of 0.8, and acquiring a process route corresponding to the typical object; if the typical object with proper feature similarity is not selected, a reasonable process is recompiled for the target assembly unit by a process designer, and the formed final process is automatically archived and saved in a process library after passing a process approval process, so that more reusable resources are provided for future design.
Parsing the technical requirement related content in the XML file, such as: identifying and evaluating similarity of relevant contents after electroplating the fields, relevant contents after heat treatment and relevant contents after painting the fields, and mapping typical procedure contents in a procedure template library through the relationship so as to refine relevant contents of the process flow, such as: according to the process rules: the rough finishing room needs to be subjected to heat treatment, the finishing room needs to be added with inspection procedures, the conductive oxidation procedures are arranged before the painting procedure, the marking making procedure is arranged after the painting procedure, and zero clamp treatment is needed after the procedure is finished. And finally generating a process template.
And generating an optimal process route for the cited process route and the process template through further process sequence adjustment, similar process modification, repeated process deletion, missing process addition and process content editing.
After the optimal process route is determined, a process detailed design stage is entered, the process detailed design is the refinement of specific process content under each procedure, and at the moment, the dimension and tolerance information in the model is required to be imported.
And after the process design is finished, submitting a system signature and check flow, and automatically checking the matching of the process route and the model information by the system, if the verification is passed, completing the process task submission.
While the invention has been disclosed in terms of preferred embodiments, the embodiments are not intended to limit the invention. Any equivalent changes or modifications can be made without departing from the spirit and scope of the present invention, and are intended to be within the scope of the present invention. The scope of the invention should therefore be determined by the following claims.
Claims (8)
1. The radar key part process design method based on PMI information is characterized by comprising the following steps of:
step S1: extracting text annotation information, dimensional tolerance information and geometric feature information associated with the dimensional information in an MBD model of the radar key part;
step S2: performing similarity calculation on the geometric feature information and the geometric feature information of the typical object, determining the category of the radar key parts, and acquiring a process route of the category;
step S3: comparing the text annotation information with a typical procedure template library to obtain a procedure template corresponding to the text annotation information;
step S4: sequencing the process routes and the process templates to generate an optimal process route;
step S5: inputting the dimensional tolerance information into the optimal process flow to complete process design;
in step S1, the geometric characteristic information represents the positions and types among different surfaces by using a two-dimensional matrix T [ i, j ];
the two-dimensional matrix T [ i, j ] is a square matrix, wherein the number of rows and columns is the number of faces in the geometric characteristic information, and elements in the two-dimensional matrix T [ i, j ] are the relationship or types between the faces represented by the rows where the elements are located and the surface of the generation of the columns where the elements are located;
in the two-dimensional matrix T [ i, j ], if i is not equal to j, the relation between the i plane and the j plane is represented; if the i face and the j face are intersected, the two faces are in a concave relation or a convex relation, and if the i face and the j face are not intersected, the two faces are not in a relation; 0 on the bit represents a concave relationship and 1 on the bit represents a convex relationship; the ten digits are respectively represented by numbers 1, 2 and 3, wherein the plane is intersected with the plane, the plane is intersected with the cylindrical surface, and the cylindrical surface is intersected with the cylindrical surface;
in the two-dimensional matrix T [ i, j ], if i=j, the array element represents the type of face; a single digit 1 represents an inner surface and a single digit 0 represents an outer surface; the tens number 1 represents a plane and the tens number 2 represents a cylinder.
2. The process design method according to claim 1, wherein in step S2, the geometric feature and the size information associated with the geometric feature are expressed in terms of a tree structure;
the tree structure is provided with 3 levels, level 1 of the tree structure represents a part model, level 2 represents each geometrical feature in the part model, and level 3 represents each size information in the geometrical feature.
3. The process design method according to claim 2, wherein in step S2, the similarity calculation formula of the tree structure is defined as:
wherein x, y are respectivelyA structural tree representing the radar key parts and the representative object e x And e y Respectively representing edge sets of any two nodes directly connected in the structural tree of the radar key parts and the typical object; feature (e) x ∩e y ) Representing the number of elements after intersection of the edge sets of the model tree structures to be compared; feature (e) x ∪e y ) The number of elements after the union of the edge sets representing the model tree structure to be compared.
4. A process design method according to claim 3, wherein in step S2, a typical object class with the maximum similarity calculation result and a threshold value greater than 0.8 is selected as the class of the radar key component.
5. The process design method according to claim 1, wherein in step S3, the text annotation information includes fields including a heat treatment process, an electroplating process, a painting process, and a logo process.
6. The process design method according to claim 5, wherein in step S3, the fields of the electroplating process or the painting process are respectively matched with the marks in terms of bytes in the industry manual, and if the byte matching reaches a threshold value of 0.8, the mark matching is successful, and a process template of the electroplating process or the painting process is obtained.
7. The process design method according to claim 5, wherein in step S3, the field of the heat treatment process includes any one of "heat treatment", "solid solution aging", "normalizing", "annealing", "quenching", "tempering", "QPQ", "carburizing" and "nitriding", and a process template of the heat treatment process is obtained.
8. The process design method according to claim 5, wherein in step S3, the field of the mark making process includes any one of "lettering", "printing" and "mark making" to obtain a process template of the mark making process.
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