CN108717472A - A kind of assembly positioning contact priority generation method based on ontology rule description - Google Patents
A kind of assembly positioning contact priority generation method based on ontology rule description Download PDFInfo
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- CN108717472A CN108717472A CN201810286012.3A CN201810286012A CN108717472A CN 108717472 A CN108717472 A CN 108717472A CN 201810286012 A CN201810286012 A CN 201810286012A CN 108717472 A CN108717472 A CN 108717472A
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Abstract
The generation method for the assembly positioning contact priority based on ontology rule description that the invention discloses a kind of, its process is by OWL and SWRL to entity, role and rule model, find out the relationship between them, and SWRL is set to meet the create-rule of positioning contact priority by certain syntax rule, it can be facilitated using the OWL language based on ontology, various objects and its relationship are flexibly described, semantic net rule language SWRL and inference engine JESS are combined, by establishing rule and carrying out reasoning from logic, it can effectively find the semantic association implied between ontology.This method is as follows：(1) the three-dimensional assembling model of product is built；(2) the 3D assembling models of product are solved；(3) each part of assembly is traversed, its assembly features surface model is extracted；(4) extraction assembly positioning contact information；(5) what structure indicated assembly features surface restraint relationship and degree of freedom relationship asserts axiom collection；(6) class and attribute of structure positioning contact ontology model；(7) assembly restriction asserts axiom collection between structure indicates figuratrix；(8) inference rule is established；(9) reasoning determines the priority of assembly positioning contact, output contact priority global set.
Description
Technical field
The invention belongs to computer-aided tolerance designs（CAT）Field, and in particular to a kind of product design software and manufacture
The design method based on ontology that software mutually considers can be used for assembling the generation of positioning contact priority.
Background technology
The assembly structure design of product is the important link of research and development of products, good trim designs, it is possible to reduce manufacturing expenses
With, while improving productivity.Position fixing process of the part in assembly is exactly the process for applying constraint to part, it is made to assemble
There are one ideal orientation in body.The degree of freedom information that the direct limit feature of priority of contact is positioned on assembly features face, from
And the quality of product assembly quality is influenced, and priority will be determined according to the assembling process of part and matching requirements.
Expert knowledge library model is concentrated mainly on to the research of assembly positioning contact at this stage, the priority for positioning contact is past
Toward being determined according to the knowledge and experience of itself by assemble planning personnel, the design result based on expert knowledge library relies on designer
The experience of member, to the product with identical requirement, different designers is possible to design different assembling schemes, especially
Exploitation for complex product, this not only needs a large amount of knowledge and abundant experience, it is also necessary to take a substantial amount of time, and have
It is possible that some artificial mistakes.
Invention content
The technical problem to be solved by the present invention is to give a kind of product design software and manufacture software mutually considers
Design method based on ontology, this method can be used for assembling positioning contact priority and automatically generate, and to variable or
Constraint modifies or when delete operation, can realize associated modification or the deletion of associated variable and constraint, to ensure that positioning
The consistency of constraint reaches expected purpose.To solve the above-mentioned problems, the present invention is realized by following scheme.
Step 1：Build the three-dimensional assembling model of product；
According to the functional requirement of product and the ideal dimensions of each part, constructed using three-dimensional solid modeling software SolidWorks
The three-dimensional assembling model of product.
Step 2：Solve the 3D assembling models of product；
According to the structure of product, de-assembly is carried out to the three-dimensional assembling model of product in three-dimensional software, by model decomposition Cheng Ruo
Dry part or several part groups.
Step 3：Traversal assembles each part, extracts its assembly features surface model；
According to the topological relation between each part, by three-dimensional objects each part or several part groups further decompose
At 2 or more assembly features surfaces, the assembly features surface of each part is automatically extracted.
Step 4：Extraction assembly positioning contact information；
According to the assembly features surface type that step 3 and step 4 obtain, assembly positioning contact information is obtained, and build positioning and connect
Point set Af。
Step 5：Structure expression assembly features surface restraint relationship asserts axiom collection with degree of freedom relationship；
Assembly restriction between the part extracted according to step 4, structure indicate disconnected between restriction relation and degree of freedom
Say axiom collection.
Step 6：The class and attribute of structure positioning contact ontology model；
Positioning field relevant knowledge is assembled by analysis, extracts concept and relationship therein, structure positioning contact ontology model
Class and attribute.
Step 7：Restriction relation asserts axiom collection between structure expression assembly features surface；
Restriction relation in assembly restriction and step 5 and degree of freedom between the figuratrix extracted according to step 3
Assert that axiom collection, structure expression feature assembly restriction assert axiom collection.
Step 8：Establish inference rule.Contact priority rule is built by semantic net rule language (SWRL).
Step 9：Reasoning determines the priority of assembly positioning contact, output contact priority global set；
Axiom collection is asserted as input, by Network ontology using the restriction relation between the assembly features surface built in step 7
The structural knowledge of language OWL descriptions is converted to the Jess facts, and the constraint expression of semantic net rule language SWRL descriptions is turned
It changes Jess rules into, finally uses Jess rules, Jess inference engines is applied to generate the priority of assembly positioning contact later.It is logical
The positioning contact aggregate information for crossing 5 gained of traversal step, exports the global set of assembly contact priority.
Description of the drawings
Fig. 1, the flow chart of basic skills of the invention.
Fig. 2, sectional view of the present invention to hole axle component.
Fig. 3, the figuratrix figure of hole axle component.
Fig. 4, the restriction relation figure between basic fiting constraint and degree of freedom.
The numerical attribute figure of MC1 is arranged in Fig. 5.
Fig. 6, the hierarchical relationship figure for all OWL classes that the present invention is built.
Fig. 7, the hierarchical relationship figure for all OWL attributes that the present invention is built.
Fig. 8, the create-rule figure for being set to contact priority using the assembly that SWRL is described that the present invention establishes.
Fig. 9, the reasoning results figure of the invention.
The present invention describes entire reasoning process using OWL and SWRL, has many advantages, such as simple, efficient and intelligent.It meets
Tolerance information effectively shared and smooth transmission demand between isomery CAX systems, meets the top-down thinking of designer and practises
It is used, there is stronger applicability, ensure that the consistency of position constraint.
Specific implementation mode
Hole axle cooperation is one of most common important fits kind in engineering goods, and hole is determined according to the functional requirement of product
The fiting property of axis carries out rational tolerance design, has great importance to ensureing assembly precision and reducing manufacturing cost.Under
The implementation process of illustration method is carried out in face by taking a pair of of hole axle mating parts as an example.The component is by an axis part Part A and a hole
Part Part B compositions, and relevant characteristic information is designated in the figure.It needs to be determined that going out to position the preferential of contact in assembly
Grade automatically generates flow and sees Fig. 1.
Step 1：Build the three-dimensional assembling model of product.According to the functional requirement of product and the ideal dimensions of each part, make
The three-dimensional assembling model of product is constructed with three-dimensional solid modeling software SolidWorks, partial view is shown in Fig. 2.
Step 2：Solve the 3D assembling models of product.According to the structure of product, the three-dimensional of product is assembled in three-dimensional software
Model carries out de-assembly and sees Fig. 2 by model decomposition at part Part A and Part B.
Step 3：Traversal assembles each part, extracts its assembly features surface model.It is closed according to the topology between each part
System, further decomposes into 4 assembly features surfaces by each part in three-dimensional objects, automatically extracts the assembly features of each part
Surface.Fig. 3, wherein a1 are seen in the assembly features surface of part Part A and a hole part Part B（External splines surface）, a2（Axis
End face）It is the assembly features face of part Part A, b1（Hole end surface）,b2（Internal spline surface）It is the assembly features of part Part B
Fig. 2 is seen in face.
Step 4：Extraction assembly positioning contact information.According to the assembly features surface type that step 3 and step 4 obtain, obtain
Positioning contact information must be assembled, and builds positioning contact set Af={ Joint1, Joint2 }, the contact information of structure
Joint1 and Joint2 are shown in Fig. 3.
Step 5：Structure expression assembly features surface restraint relationship asserts axiom collection with degree of freedom relationship.Considering feature
It is by the adjustment of local coordinate, the restriction relation between the plane or axis of cooperation is approximate when fiting constraint between face
The cooperation MC3 being divided on the faces cooperation MC2, YOZ on the faces cooperation MC1, XOZ on the faces XOY, is approximately divided into X by cylindrical fit
Cooperation MC4 on axis, the cooperation MC6 on cooperation MC5 and Z axis in Y-axis, in addition tight fit MC7,7 kinds altogether.Per a pair of mutual
The figuratrix of constraint spatially constrains the case where degree of freedom and sees Fig. 4.In order to facilitate the numerical computations of degree of freedom, setting
DOF1, DOF2, DOF3, DOF4, DOF5, DOF6 are numerical attribute, value 1, and the mapping relations that the degree of freedom of MC1 is asserted are shown in figure
5。
Step 6：The class and attribute of structure positioning contact ontology model.Positioning field relevant knowledge is assembled by analysis, is carried
Take concept and relationship therein, the class and attribute of structure positioning contact ontology model.Hierarchical relationship in ontology between class is shown in figure
6, the hierarchical relationship between object properties is shown in Fig. 7.
Step 7：Assembly restriction asserts axiom collection between structure expression figuratrix.It is extracted according to step 3
Restriction relation in assembly restriction and step 5 and degree of freedom between figuratrix assert that axiom collection, structure indicate special
Sign assembly restriction asserts axiom collection,Surface（x）Expression figuratrix x, hasContact (x, Y) feature is indicated
There are assembly restrictions between x and y.hasMC1(x, Y) indicate that there are the types of matching relationship between assembly features x and y
Fiting constraint of the characteristic face on the faces XOY is indicated for MC1, MC1.
Step 8：Establish inference rule.Contact priority rule is built by semantic net rule language (SWRL), specifically
Contact priority inference rule is shown in Fig. 8.
Step 9：Reasoning determines the priority of assembly positioning contact, output contact priority global set.With structure in step 7
Restriction relation between the assembly features surface built asserts axiom collection as input, the knot that network ontology language OWL is described
Structure Knowledge conversion is Jess true, and the constraint expression of semantic net rule language SWRL descriptions is converted into Jess rules, most
Jess rules and Jess inference engines is used to generate the priority of assembly positioning contact afterwards.Positioning as obtained by traversal step 4
Contact aggregate information exports the global set of assembly contact priority.By the reasoning results it is found that sentencing by rule language
Matching relationship known to fixed at assembly positioning contact Joint1 limits 3 degree of freedom, in order to prevent the Planar Mechanisms of degree of freedom,
The degree of freedom of limitation is external at Joint1 is constrained, and is passed through and is limited 2 degree of freedom known to reasoning at Joint2, it is known that Joint1
For master positioning contact, Joint2 is time positioning contact, and the reasoning results are fed back to class Position jiont by inference machine
In the individual of class, final the reasoning results are shown in Fig. 9.
Claims (5)
1. a kind of assembly based on ontology rule description positions contact priority generation method, it is characterised in that：Including walking as follows
Suddenly：
Build the three-dimensional assembling model of product；
Solve the 3D assembling models of product；
The each part of assembly is traversed, its assembly features surface model is extracted；
Extraction assembly positioning contact information；
Structure expression assembly features surface restraint relationship asserts axiom collection with degree of freedom relationship；
The class and attribute of structure positioning contact ontology model；
Assembly restriction asserts axiom collection between structure expression figuratrix；
Inference rule is established, contact priority rule is built by semantic net rule language (SWRL)；
Reasoning determines the priority of assembly positioning contact, output contact priority global set.
2. assembly positioning contact priority generation method as described in claim 1, it is characterised in that：Assembly based on product is fixed
Position information, the restriction relation between assembly position constraint characteristic face is indicated using network ontology language OWL structures asserts axiom
Set.
3. assembly positioning contact priority generation method as described in claim 1, it is characterised in that：Based on each assembly features
The inherent mapping relations of restriction relation and degree of freedom information between face indicate that constraint is closed using network ontology language OWL structures
Axiom collection is asserted between system and degree of freedom.
4. assembly positioning contact priority generation method as described in claim 1, it is characterised in that：Contact is positioned based on assembly
Information model, pass through semantic net rule language (SWRL) build contact priority rule.
5. assembly positioning contact priority generation method as described in claim 1, it is characterised in that：Reasoning determines assembly positioning
The priority of contact, output contact priority global set, with the restriction relation between the assembly features surface that is built in step 9
Assert that the network ontology language OWL structural knowledges described as input, are converted to the Jess facts by axiom collection, and will be semantic
The constraint expression of net rule language SWRL descriptions is converted into Jess rules, and Jess rules and Jess inference engines is finally used to give birth to
At the priority of assembly positioning contact.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111080240A (en) * | 2019-11-29 | 2020-04-28 | 北京机械设备研究所 | Electromechanical product assembly process generation method |
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