CN106204317A - Subassembly detection method based on body - Google Patents
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- 238000004519 manufacturing process Methods 0.000 abstract description 6
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Abstract
The present invention discloses a kind of subassembly detection method based on body, utilizes body that Complex Assembly is built ontology knowledge framework, expands assembly information knowledge base according to dominant domain knowledge reasoning tacit knowledge；In conjunction with semantic network rule language rule base, for rigid connection structure identification sub-assemblies.The present invention can provide the concordance knowledge description framework in assembling field, subassembly detection hierarchically structured assembling structure between heterogeneous system, reduces assembly sequence-planning problem scale, improves assembling manufacturing efficiency.
Description
Technical field
The present invention relates to assembly sequence-planning technical field, be specifically related to a kind of subassembly detection side based on body
Method.
Background technology
Assembly sequence-planning (Assembly Sequence Planning is called for short ASP) is the core in product production flow
Thimble saves, and the scientific of Assembly sequences determines assembling quality and properties of product.For the manufacturing of mass product, performance is excellent
Good Assembly sequences will shorten the production cycle of product, reduces the producing cost of product, improves quality and the performance of product.So
And, for the assembling of the big complex product of number of parts, the assembly sequence-planning such as traditional precedence constraint method and cut set disassembly method
Method unavoidably there will be " multiple shot array " problem.
Summary of the invention
The technical problem to be solved is that existing assembly sequence-planning method is when carrying out the assembling of complex product
The problem that there will be " multiple shot array ", it is provided that a kind of subassembly detection method based on body.
For solving the problems referred to above, the present invention is achieved by the following technical solutions:
A kind of subassembly detection method based on body, comprises the steps:
Step A. is according to the assembling corresponding ontology knowledge base of domain knowledge framework establishment, in ontology knowledge base between class and class
Relation on attributes to assembling domain knowledge provide concordance describe；
Step B., based on the ontology knowledge base constructed by step A, builds according to the relation that is rigidly connected of part in assembly
Rule of inference storehouse based on body and rule language；
Step C. for specific assembly example, in the ontology knowledge base constructed by step A to corresponding concept and
Attribute carries out instantiation, and sets up the relation on attributes between individuality and the individuality of the class of assembly example, it is thus achieved that instantiation is originally
Body knowledge base；
Step D., based on the rule of inference storehouse constructed by step B, utilizes the instantiation body that step C is obtained by inference machine
Knowledge base makes inferences, and the reasoning results is added in this instantiation ontology knowledge base；
Step E. builds rule query statement according to information needed, and uses rule query language to real obtained by step D
The reasoning results in example ontology knowledge base is retrieved, and exports the instantiation ontology knowledge base after checking.
In step A, the class in ontology knowledge base includes class in kind and feature class.
Step B particularly as follows:
Step B1. is according to the relation that is rigidly connected of part in assembly, the characteristic element of reasoning annexation and corresponding zero
Part pair；And select initial part and sub-assemblies mark part；
The characteristic element that step B2. is comprised according to sub-assemblies mark part builds rule, identifies sub-assemblies kind；
Step B3. builds rule according to the characteristic element determining the part pair connected, and reasoning has restriction relation with being connected
Characteristic element and the part of correspondence, these parts then belong to this sub-assemblies；
Step B4. adds sub-assemblies the termination part of union piece centering.
Step C2 still further comprises following process: utilize the inferential capability reasoning of instantiation ontology knowledge base self to imply
Relation, and the concordance of test case ontology knowledge base.
Compared with prior art, the present invention has a characteristic that
1. ontology knowledge base knowledge base and rule of inference storehouse can be shared and reuse, for assembling realm information between different system
Description provides coherence method and exchanges for information between heterogeneous system, it is ensured that the portability of knowledge base and extensibility.
2. utilize the hierarchically structured assembly of sub-assemblies thought, thus structuring assembly structural information, reinforced assembly
The descriptive power of body information model.Introduce sub-assemblies thought and reduce assembly sequence-planning problem scale, improve Sequence Planning
Solution efficiency.
3. provide the basis of ontology knowledge base describing framework and rule base for assembling field question based on body, for entering
One step completes assembly sequence-planning task and has made preparation work.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of subassembly detection method based on body.
Fig. 2 is the hierarchical chart of important class in specific embodiment ontology knowledge base.
Detailed description of the invention
A kind of subassembly detection method based on body, as it is shown in figure 1, comprise the steps:
The structure of stage 1. ontology knowledge base representational framework and the structure of semantic reasoning rule base:
Step A. is according to the assembling corresponding ontology knowledge base of domain knowledge framework establishment, attribute between class and class in body
Domain knowledge is provided concordance to describe by relation.
Step A1. is according to assembling domain knowledge, and during ontological construction, the relation of class and class reflects and mainly describes concept
Inclusion relation (hierarchical relationship) between kind and concept.Class is broadly divided into two big classes: one is class in kind, and its subclass mainly has
Parts, parts class, sub-assemblies class etc.；Two is feature class, and its subclass mainly has geometric properties class, material feature class, space
Characteristic relation class etc..Geometric properties has again the classifications such as characteristic face, feature holes, feature axis.
Step A2., according to assembling domain knowledge, sets up the relation on attributes between concept in body.As part has specifically
Characteristic element, has specific annexation between part, have annexation etc. between characteristic element.Relation on attributes also has level
Relation, an attribute can have multiple different sub-attribute.
The conventional relation that is rigidly connected that step B. is formed according to part in assembly builds based on body and rule language
Rule of inference storehouse.
The feature that step B1. can form stabistor assembly according to rigid connection structure builds rule, and reasoning determines this
The characteristic element (such as elements such as figuratrix, feature holes axles) of annexation and corresponding part pair, part centering has larger volume
Or the part of weight is initial part and sub-assemblies mark part.During Product Assembly, part is according to each other
Annexation and restriction relation are identified and install.Owing to other parts most depend on fundamental parts, fundamental parts is at dress
Maintaining static during joining, other parts assemble on its basis, therefore fill with specific fundamental parts for initial
Join and can effectively reduce assembling cost.In assembly, the selective goal of fundamental parts (assembling process initiates part) generally has bigger
The volume or weight connection quantity etc. more with other parts, such as casing, pedestal etc..
The characteristic element that step B2. is comprised according to sub-assemblies mark part builds rule, identifies sub-assemblies kind.Its
In initial part comprise sub-assemblies mark part, sub-assemblies mark part is used in knowledge base carry out sub-assemblies
Unique part indicated.
Step B3. is according to determining that the part connected builds rule to characteristic element, and reasoning has the spy of restriction relation with being connected
Levying first and corresponding part, these parts then belong to this sub-assemblies.
Step B4. adds sub-assemblies the termination part of union piece centering.
Introducing subassembly recognition concept is by the assembling hierarchical structured of complex product, by increasing sub-assemblies level, contracting
Little assemble planning scale, reduce " multiple shot array " thus improve assemble planning efficiency.Sub-assemblies refers to assemble as another
The assembly of the parts of body, its requirement needing to meet stability and independence.Stability refers to that the comprised part of sub-assemblies exists
Assembly relation constraint is lower can keep stable, will not occur from separating.Independence refers to sub-assemblies and other parts in assembly
It is separate.
Stage 2. is for the Ontological concept instantiation of concrete assembly example:
Step C. carries out instantiation with assembly example input body, sets up the attribute between individuality and the individuality of class and closes
System.
Step C1. is to specific assembly example, to concept and attribute instance in ontology knowledge base.
Step C2. utilizes the inferential capability reasoning implication relation of body, and checks the concordance of knowledge base.
Stage 3. reasoning based on ontology knowledge base and rule base and the retrieval of the reasoning results and inquiry:
Step D. utilizes inference machine to make inferences ontology knowledge base, and the reasoning results adds knowledge base.
Step D1. utilizes inference machine and constructed rule base, makes inferences body.
Step D2. the reasoning results write ontology knowledge base.
Step E. uses rule query language retrieve the reasoning results and export.
Step E1. builds rule query statement according to information needed.
Step E2. utilizes rule query language to retrieve the reasoning results.
Subassembly detection system based on a kind of body designed described in said method, including:
(1) ontological construction module: realize the structure of domain body；
(2) rule base builds module: build rule of inference；
(3) instances of ontology: can read body types file and carry out instantiation in the body；
(4) ontology inference: call ontology inference mechanism and ontology knowledge base is carried out consistency detection；
(5) rule-based reasoning: body and rule base are made inferences by calling rule inference machine, and the reasoning results is added body
Knowledge base；
(6) rule query: utilize rule query language that the reasoning results in knowledge base is retrieved and inquired about；
The present invention is in order to solve assembly sequence-planning scale problems of too.The method includes: utilize body to Complex Assembly
Build ontology knowledge framework, expand assembly information knowledge base according to dominant domain knowledge reasoning tacit knowledge；In conjunction with semantic network
Rule language (SWRL) rule base, for rigid connection structure identification sub-assemblies.The present invention can carry between heterogeneous system
For the concordance knowledge description framework in assembling field, subassembly detection hierarchically structured assembling structure, reduce Assembly sequences rule
Draw problem scale, improve assembling manufacturing efficiency.
Below by a specific embodiment, the present invention is further described:
Relation such as Fig. 2 of the main class of step 1. body and class, wherein owl:thing is Ontology Editing Tool Prot é g é
Built-in abstract class, is the parent of all classes；Product class (Product) describe product design, manufacture, assemble in all elements,
Including parts class (Artifact) and two subclasses of component feature class (Artifact_feature)；Parts class can be subdivided into again
The parts (Component) of junior unit and son assembling class (SubAssembly)；Component feature class (Artifact_feature)
Describe the characteristic elements such as the shape of parts, special front.
Relation between attribute description concept in step 2. body, as between class and class, class and individual and individual and individuality
Relation.Body has stock properties, as attribute is_a represents that certain example belongs to the inclusion relation of certain class and class；Can also self-defined institute
Need attribute, as definition has_artifactfeature represents that certain class part has certain characteristic element.Attribute also has layer as class
Secondary relation, as threaded attribute (screw) can create many sub-attributes such as s1, s2.Assembly restriction is sub-assemblies
And the assembling relevant information between part or part and part, comprises connected mode between part, spatial relationship, functional characteristics etc..
Connection and constraint relationship essence between part are that some positive to the spy element by part realizes mutual connection and constraint.Research
The connection of characteristic element and constraint information can ignore the geometry of part, are conducive to attribute under based on semantic framework
Explicitly define and reasoning.
Step 3., according to the type that is rigidly connected (as a example by threaded), sets up the connector pair of rule-based reasoning fixed type
(screw_key_pair)。
Rule1:Component(？x)∧has_artifactfeature(？X,？ss)∧Helix_in(？ss)∧Comp
onent(？y)∧has_artifactfeature(？Y,？tt)∧Helix_out(？tt)∧screw(？Ss,？tt)→
screw_key_pair(？X,？y).
The part that part centering is supported be termination part, with End_of_SKP (？X) represent；Supporting part is basis zero
Part, with Base_of_SKP (？X) represent, set up rule-based reasoning termination part and fundamental parts.
Rule3:screw_key_pair(？X,？y)∧be_support(？X,？y)→End_of_SKP(？x).
Rule4:screw_key_pair(？X,？y)∧support(？X,？y)→Base_of_SKP(？x).
Step 4. single-chamber sub-assemblies refers to be determined by a pair threaded connector, there is cavity and cavity and characteristic threads mask
There is the sub-assemblies of space restriction relation.Owing to cavity (Chamber) and characteristic threads mask have spatial relationship, cavity neutron fills
Other parts of part also certainly will have space restriction relation with characteristic threads face.The elements such as connector pair and cavity are to identify single-chamber
The key of sub-assemblies.
Step S41. sets up rule-based reasoning identification connector centering single-chamber basic part AC_Base_of_SKP；
Rule5:Base_of_SKP(？x)∧has_artifactfeature(？X,？ss)∧Chamber(？ss)∧
has_artifactfeature(？X,？tt)∧Helix(？tt)∧co_axis(？Ss,？tt)→AC_Base_of_SKP(？
x)。
The single-chamber basic part that step S42. obtains by inference, the part feature unit that further reasoning is assemblied in cavity, bag
Part containing these characteristic elements i.e. belongs to this single-chamber sub-assemblies.With part_to_AC_Base_of_SKP (？X,？Y) binary is closed
System represents that part x belongs to the sub-assemblies being single-chamber basic part with part y；
Rule6:Component(？x)∧has_artifactfeature(？X,？rr)∧in_chamber(？Rr,？ss)
∧AC_Base_of_SKP(？y)∧has_artifactfeature(？Y,？ss)∧Chamber(？ss)∧has_
artifactfeature(？Y,？tt)∧Helix(？tt)∧has_featurereference(？Ss,？tt)→part_to_
AC_Base_of_SKP(？X,？y).
Step S43. sets up other adnexaes that rule-based reasoning belongs to relevant to assembling to connector in sub-assemblies；
Rule7:Component(？x)∧has_artifactfeature(？X,？rr)∧AC_Base_of_SKP(？y)
∧has_artifactfeature(？Y,？ss)∧has_featurereference(？Rr,？ss)∧End_of_SKP(？z)
∧has_artifactfeature(？Z,？tt)∧has_featurereference(？Rr,？tt)→part_to_AC_
Base_of_SKP(？X,？y).
Step S44. finally adds this sub-assemblies the termination part of connector centering.
Rule8:screw_key_pair(？X,？y)∧AC_Base_of_SKP(？y)∧End_of_SKP(？x)→
part_to_AC_Base_of_SKP(？X,？y).
Step 5. Compound Cavity sub-assemblies refers to be determined by multipair threaded connector, there is cavity and cavity and characteristic threads
The sub-assemblies that face is unrelated.The assemblies such as the most bolted casing broadly fall into Compound Cavity sub-assemblies.Compound thorax assembling
The rule of inference of body is similar with the inference ideas of single-chamber sub-assemblies, and rule is similar, repeats no more.
Step 6. utilizes rule-based reasoning machine Jess to make inferences ontology knowledge base and rule base, and the reasoning results can write this
Body knowledge base.
Step 7. utilizes rule query language SQWRL, inquires about SWRL rule-based reasoning result in conjunction with OWL Ontology
And retrieval.
The SQWEL1 rule of retrieval single-chamber sub-assemblies is as follows:
SQWRL1:Component(？x)∧part_to_AC_Base_of_SKP(？X,？y)→sqwrl:select(？
X,？y).
Query Result such as table 1.
Table 1 SQWEL1 Query Result
Two single-chamber sub-assemblies can be obtained, the single-chamber assembling that respectively part 1 (Pump_body_1) indicates according to table 1
Body { 1,3,4,5} and the single-chamber sub-assemblies { 9,12,1,3,14,15,16} that indicates of part 9 (Pump_cap_1).To Compound Cavity
The retrieval of sub-assemblies is similar to.
Said process is made that detailed description to this method as a example by threaded in being rigidly connected, and other are rigidly connected
Subassembly detection process is similar to, and here is omitted.
The present invention utilizes network ontology language (Web Ontology Language, OWL) and semantic network rule language
(Semantic Web Rule Language, SWRL) definition trim designs body and rule of inference.Product Assembly information is passed through
Concept/functional layer, structure sheaf and three layers of semantic abstraction of part/characteristic layer are described, and can retrieve dress from assembly repository
Join design idea, assembling hierarchical structure and assembly relation.Utilize rule semantics inference mechanism that knowledge base makes inferences identification
Assembly, and in the reasoning results write ontology knowledge base, rule query language provides the inquiry to the reasoning results and retrieval
Ability, utilizes body to improve sharing and reusing of Product assembly model.
This specification uses the mode gone forward one by one to describe, and is said each method and part by step the most in detail
Bright.By combining the accompanying drawing description to the specific embodiment of the invention, the other side of the present invention and the feature technology to this area
It is apparent from for personnel.
Claims (4)
1. a subassembly detection method based on body, is characterized in that, comprise the steps:
Step A. is according to the assembling corresponding ontology knowledge base of domain knowledge framework establishment, genus between class and class in ontology knowledge base
Assembling domain knowledge is provided concordance to describe by sexual relationship；
Step B. based on the ontology knowledge base constructed by step A, according to the relation that is rigidly connected of part in assembly build based on
The rule of inference storehouse of body and rule language；
Step C. is for specific assembly example, to corresponding concept and attribute in the ontology knowledge base constructed by step A
Carry out instantiation, and set up the relation on attributes between individuality and the individuality of the class of assembly example, it is thus achieved that instantiation body is known
Know storehouse；
Step D., based on the rule of inference storehouse constructed by step B, utilizes the instantiation ontology knowledge that step C is obtained by inference machine
Storehouse makes inferences, and the reasoning results is added in this instantiation ontology knowledge base；
Step E. builds rule query statement according to information needed, and uses rule query language to instantiation obtained by step D
The reasoning results in ontology knowledge base is retrieved, and exports the instantiation ontology knowledge base after checking.
A kind of subassembly detection method based on body the most according to claim 1, is characterized in that, in step A, and body
Class in knowledge base includes class in kind and feature class.
A kind of subassembly detection method based on body the most according to claim 1, is characterized in that, step B particularly as follows:
Step B1. is according to the relation that is rigidly connected of part in assembly, the characteristic element of reasoning annexation and corresponding part pair；
And select initial part and sub-assemblies mark part；
The characteristic element that step B2. is comprised according to sub-assemblies mark part builds rule, identifies sub-assemblies kind；
Step B3. builds rule according to the characteristic element determining the part pair connected, and reasoning has the feature of restriction relation with being connected
First and corresponding part, these parts then belong to this sub-assemblies；
Step B4. adds sub-assemblies the termination part of union piece centering.
A kind of subassembly detection method based on body the most according to claim 1, is characterized in that, step C2 also enters one
Step includes following process: utilize the inferential capability reasoning implication relation of instantiation ontology knowledge base self, and test caseization is originally
The concordance of body knowledge base.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109635323A (en) * | 2018-11-05 | 2019-04-16 | 武汉华锋惠众科技有限公司 | A kind of automated reasoning method of semantic-based steel plate Die & Mold Standard Parts trim designs |
| CN109635323B (en) * | 2018-11-05 | 2023-03-14 | 武汉华锋惠众科技有限公司 | Semantic-based automatic reasoning method for assembly design of standard component of steel plate die |
| CN112800024A (en) * | 2021-01-07 | 2021-05-14 | 北京理工大学 | Ontology-based assembly system knowledge base and construction method thereof |
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Application publication date: 20161207 Assignee: Guilin Biqi Information Technology Co.,Ltd. Assignor: GUILIN University OF ELECTRONIC TECHNOLOGY Contract record no.: X2023980045831 Denomination of invention: Ontology based sub assembly recognition method Granted publication date: 20190517 License type: Common License Record date: 20231107 |