CN103793535B - System and method for exchanging isomerism CAD model data based on genetic algorithm - Google Patents
System and method for exchanging isomerism CAD model data based on genetic algorithm Download PDFInfo
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Abstract
The invention discloses a system and method for exchanging isomerism CAD model data based on the genetic algorithm. The system for exchanging the isomerism CAD model data comprises a source terminal CAD system and a target terminal CAD system. The exchanging of the isomerism CAD model data is divided into a 3D characteristic parameter layer and a 2D preliminary sketch parameter layer. The methods of direct characteristic mapping and indirect characteristic mapping are adopted in the 3D characteristic parameter layer to achieve the exchanging of the characteristic data. Direct element mapping, indirect element mapping and spline mapping are adopted in the 2D preliminary sketch parameter layer. The spline mapping problem in the 2D preliminary sketch parameter layer is converted into the spline fitting problem. The genetic algorithm is innovatively introduced into the field of isomerism CAD model data exchanging. Hausdroffdistance is introduced into the fitness calculation of the genetic algorithm individual. The system and method can be used for exchanging the isomerism CAD data of a complex model, and a target model formed after exchanging has extremely high similarity with an original model and reserves the parameterization characteristic information of the original model.
Description
Technical field
The invention belongs to isomery cad data exchanges field, more particularly to regard to the isomery cad system of complicated cad model
Data exchange and in particular to a kind of system and method that exchanges of isomery cad model data based on genetic algorithm.
Background technology
With the high speed development of economic globalization and information technology, the exploitation of Collaborative Product becomes more and more important.So
And, when developing Collaborative Product, cad system that different company selects for the commercial interest of itself simultaneously differs.When one
When project needs the cooperation of multiple companies to complete, then with and come is exactly that substantial amounts of cad model needs to carry out isomery cad
Data exchange.
At present, in isomery cad data exchange field, main method for interchanging data is divided into following two: based on geometry
The method of data exchange and the method for interchanging data of feature based.Simply using based on the method for interchanging data of geometry is far from
Enough.Because not comprising history design, constraint and the feature contour level semantic information of model in geometric data, therefore cannot supporting
To activities such as the original design editor carrying out based on constraint and feature, modification and redesign in the target cad system of exchange data.
In recent years, Parameter Feature Modeling had become as today of the modeling method of standard, the isomery cad number of feature based
According to exchanging the attention increasingly receiving researcher, create the technology being much similar to, all there is certain use value, here
Do not introduce one by one.But these current technology all have certain limitation.Method using macro document carries out parameterized information
Exchange, parametrization exchange can only be carried out to some simple cad models.Realize characteristic information using process Restoration Mechanism to exchange,
All can not correctly carry out parametrization exchange for complicated curve and curved surface.
However, SPL is due to its moulding motility, very extensive in the use of current industrial quarters, such as: aircraft
Wing, the configuration design of automobile etc..So isomery cad data exchange is carried out for this kind of complicated free curve just to seem
Very important.
Content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the invention provides a kind of isomery cad data based on genetic algorithm
Exchange system and method.Can be used for complex model isomery cad data exchange, the object module after exchange, not only with former
Beginning model has high similarity, and remains the parameter characteristic information of archetype.
The technical solution adopted in the present invention is: the system that a kind of isomery cad model data based on genetic algorithm exchanges,
It is characterized in that: include source cad system, xml document and destination end cad system；Described isomery cad model data passes through institute
Extract characteristic parameter, sketch parameter in the source cad system stated and be saved in described xml document, this xml document is sent
To in described destination end cad system, the parameter information in xml document is carried out classification process, subsequently in described destination end
Enter the reconstruction of vehicle timespace diagram parameter, characteristic parameter in cad system, finally realize the parameterized reconstruction process of former isomery cad model.
Preferably, described source cad system includes cad model module, 3d characteristic parameter information module, 2d sketch is joined
Number information module and batten discrete data module, described cad model module is used for realizing extracting cad model, and described 3d is special
Levy parameter information module for realize extract 3d characteristic parameter, described 2d sketch parameter information module is used for realizing extracting 2d careless
Paint parameter, described batten discrete data module is used for realizing extracting batten exchange auxiliary information.
Preferably, described destination end cad system includes advance data processing module, rebuilds target batten module, weight
Build 2d sketch parameter information module, rebuild 3d characteristic parameter information module and rebuild cad model module, at described advance data
Reason module is used for realizing reconstructing sample for realizing the classification of parameter and conversion, described reconstruction target batten module in xml document
Bar curve, described reconstruction 2d sketch parameter information module are used for realizing reconstruction, the described reconstruction 3d feature ginseng of 2d sketch letter
Number information module is for realizing the reconstruction of 3d feature, described reconstruction cad model module is used for realizing the reconstruction of cad model.
Preferably, described advance data processing module is divided into two-layer: 2d sketch parameter layer and 3d characteristic parameter layer.
Preferably, described 2d sketch parameter layer includes batten data exchange map unit, the mapping of direct sketch parameter
Unit and indirect sketch parameter mapping units, described 3d characteristic parameter layer includes direct characteristic parameter map unit and indirectly special
Levy parameter mapping units, described batten data exchange map unit is used for realizing the exchange of batten parameter, described direct sketch
For realizing, parameter exchange painted by 1:1 grass to parameter mapping units, described indirect sketch parameter mapping units are used for realizing 1:n or n:
1 grass is painted parameter and is exchanged, and described direct characteristic parameter map unit is used for realizing the exchange of 1:1 characteristic parameter, described indirect spy
Levy parameter mapping units to be used for realizing the exchange of 1:n or n:1 characteristic parameter.
Preferably, the operation principle of described batten data exchange map unit is: first, from source cad system
Extract source model；Secondly, source model extracts former SPL α；Then, former SPL α is carried out high-precision from
Dispersion, obtains discrete point set q={ q1,q2,..,qn}；Then, using q as cloud data, using genetic algorithm, automatically select from
Scatterplot integrates in q m point as interpolation point set t={ t1,t2,..,tm, in destination end cad system, rebuild mesh using interpolation point set t
Mark SPL β；Finally, reconstruction model in destination end cad system.
Preferably, described employing genetic algorithm rebuilds target SPL β, it implements including following sub-step
Rapid:
Step 1: extract the discrete point set of former SPL α；
Step 2: initialization population, contain k individual, wherein k 1 in population；
Step 3: individual adaptation degree calculating is carried out by hausdroff distance comparative approach；
Step 4: carry out the selection of individuality；
Step 5: to the individuality after selecting, intersected and make a variation；
Step 6: generate new population；
Step 7: judge in new population, whether the maximum individuality of fitness meets the required precision of data exchange:
If meeting required precision, enter step 8；
If being unsatisfactory for required precision, the described step 3 of revolution execution；
Step 8: extract the individuality in population with highest fitness value, and by individual real-valuedization, in destination end cad system
Middle reconstruction target SPL β.
Preferably, the initialization population described in step 2, its method is:
Population:
Individual: ik={vk1,vk2,…,vkm,....,vkm}
Population contains k individuality, and each individuality contains m variable.K-th individual i simultaneouslykIn variable vkmUsing
Binary system gene representation, variable vkmGene number π determined by the number of discrete point set q, and meet relational expression
Preferably, the individual amount k in described population is 40.
Preferably, described individual ik, interpolation point set t, the relation between discrete point set q three be:
ik={vk1,vk2,…,vkm,....,vkmAnd t={ t1,t2,..,tmIt is one-to-one relation, i is the index of t
Value；
By discrete point set q={ q1,q2,..,qnThe subscript of all elements carry out the binary representation of π position, by initial
After changing population, take out individual ikValue, then can carry out the individual i of real-valuedization by inquiring about the subscript of discrete point set qk, inserted
Value point set t={ t1,t2,..,tm}；
t={t1,t2,..,tmIt is q={ q1,q2,..,qnSubset.
Preferably, individual adaptation degree meter is carried out by hausdroff distance comparative approach described in step 3
Calculate, the calculation process of its individual adaptation degree is:
Step 3.1: extract an individual from population；
Step 3.2: using individual value, in former state bar discrete point Integrated query, obtain the interpolation of the batten after real-valuedization
Point set, rebuilds target SPL in destination end cad system；
Step 3.3: discretization is carried out to the target batten rebuild in destination end cad system, obtains the discrete of target batten
Point set；
Step 3.4: former state bar discrete point set and target batten discrete point set are input to hausdroff distance mould
Block；
Step 3.5: obtain the fitness of individuality.
Preferably, the individual selection of the carrying out described in step 4, it is that individual choosing is carried out using conventional roulette gambling mode
Select.
Preferably, described in step 5 to select after individuality, intersected and made a variation；It intersects from tradition
Single-point interleaved mode, select, at the 0.5 of individual a variable and at the 0.5 of individual b variable, to carry out single-point intersection, the probability of intersection
For 0.9；Its variation selection carries out adaptive variation mode, to the target SPL β being made up of interpolation point set t and former state bar
Curve α enters row distance and solves, and obtains the interpolation point with maximum hd value, using this interpolation point in t as change point, is then directed to
This interpolation point is counter to push away its chromosomal expression formula, finds corresponding variable, then carries out single-point variation.
The present invention can be used for complex model isomery cad data exchange, the object module after exchange, not only with former
Beginning model has high similarity, and remains the parameter characteristic information of archetype.
Brief description
Fig. 1: be the system architecture diagram of the embodiment of the present invention.
Fig. 2: be the operation principle of the batten data exchange map unit of the embodiment of the present invention.
Fig. 3: be the genetic algorithm flow chart of the embodiment of the present invention.
Fig. 4: be the genetic algorithm individual UVR exposure schematic diagram of the embodiment of the present invention.
Fig. 5: be the individual adaptation degree calculation flow chart of the embodiment of the present invention.
Specific embodiment
Below with reference to the drawings and specific embodiments, the present invention is further elaborated.
Main flow cad system (catia, solidworks, ug, pro/e) all has the modeling function of SPL, and contrast is not
The batten modeling parameters that homologous ray provides the user, find that the modeling parameters that different cad systems provide the user are not consistent, only
There is a common parameter (interpolation point).Carry out batten data exchange only with this common parameter (interpolation point), it will disappearance
Other specification information, the model after exchange and source model differ greatly.And, the SPL bottom control of isomery cad system
The mathematical form of parameter processed does not provide a user with, and user can not carry out Parameters Transformation by the method for mathematical calculation.For this reason, this
Bright batten data exchange problem is converted to batten data fitting problems, solve asking of batten parameter feature based data exchange
Topic.
The system that the isomery cad model data of the present invention exchanges includes two parts: source cad system and destination end cad
System.Meanwhile, isomery cad model data is exchanged and be divided into two-layer: 3d characteristic parameter layer and 2d sketch parameter layer.In 3d feature ginseng
Several layers, the method employing direct Feature Mapping and indirect Feature Mapping realizes the exchange of characteristic.In 2d sketch parameter layer,
Using the mapping of direct element, the mapping of indirect element and splines mirror.Splines mirror problem in 2d sketch parameter layer is converted to sample
Bar fitting problems.The isomery cad data that genetic algorithm is incorporated into of novelty exchanges field.In the individual fitness of genetic algorithm
In calculating, introduce hausdroff distance.
Ask for an interview Fig. 1, the technical solution adopted in the present invention is: a kind of isomery cad model data based on genetic algorithm is handed over
The system changed it is characterised in that: include source cad system, xml document and destination end cad system；Source cad system includes cad
Model module (for realizing extracting cad model), 3d characteristic parameter information module (for realizing extracting 3d characteristic parameter), 2d grass
Graph parameter information module (painting parameter for realizing extraction 2d grass) and batten discrete data module are (for realizing extracting batten exchange
Auxiliary information)；Destination end cad system includes advance data processing module (for realizing in xml document the classification of parameter and turning
Change), rebuild target batten module (for realize reconstruct SPL), rebuild 2d sketch parameter information module (be used for realizing 2d
Sketch letter reconstruction), rebuild 3d characteristic parameter information module (for realizing the reconstruction of 3d feature) and rebuild cad model module
(for the reconstruction of implementation model)；Advance data processing module is divided into two-layer: 2d sketch parameter layer and 3d characteristic parameter layer；2d grass
Graph parameter layer includes batten data exchange map unit (being used for realizing the exchange of batten parameter), direct sketch parameter mapping units
(be used for realizing 1:1 grass paint parameter exchange) and indirect sketch parameter mapping units (are used for realizing 1:n or n:1 grass painting parameter friendship
Change), 3d characteristic parameter layer includes direct characteristic parameter map unit (being used for realizing the exchange of 1:1 characteristic parameter) and indirect feature ginseng
Number map unit (is used for realizing the exchange of 1:n or n:1 characteristic parameter).
Isomery cad model data is passed through to extract characteristic parameter, sketch parameter in source cad system and be saved in xml document
In, this xml document is sent in destination end cad system, the parameter information in xml document is carried out classification process, subsequently exists
Enter the reconstruction of vehicle timespace diagram parameter, characteristic parameter in destination end cad system, finally realize the parameterized reconstruction of former isomery cad model
Process.
Ask for an interview Fig. 2, the operation principle of batten data exchange map unit is: first, extraction source mould from source cad system
Type；Secondly, source model extracts former SPL α；Then, high-precision discretization is carried out to former SPL α, obtain
Discrete point set q={ q1,q2,..,qn}；Then, using q as cloud data, using genetic algorithm, automatically select m in discrete point set q
Individual point is interpolation point set t={ t1,t2,..,tm, in destination end cad system, rebuild target SPL using interpolation point set t
β；Finally, reconstruction model in destination end cad system.
Ask for an interview Fig. 3, target SPL β rebuild using genetic algorithm, it implements including following sub-step:
Step 1: extract the discrete point set of former SPL α；
Step 2: initialization population, ask for an interview Fig. 4, in population, contain k individual, wherein k 1；
Initialization population method is:
Population:
Individual: ik={vk1,vk2,…,vkm,....,vkm}
Population contains k individuality, and each individuality contains m variable.K-th individual i simultaneouslykIn variable vkmUsing
Binary system gene representation, variable vkmGene number π determined by the number of discrete point set q, and meet relational expression
Individual amount k in population is 40.
Individual ik, interpolation point set t, the relation between discrete point set q three be:
ik={vk1,vk2,…,vkm,....,vkmAnd t={ t1,t2,..,tmIt is one-to-one relation, i is the index of t
Value；
By discrete point set q={ q1,q2,..,qnThe subscript of all elements carry out the binary representation of π position, by initial
After changing population, take out individual ikValue, then can carry out the individual i of real-valuedization by inquiring about the subscript of discrete point set qk, inserted
Value point set t={ t1,t2,..,tm}；
t={t1,t2,..,tmIt is q={ q1,q2,..,qnSubset.
Step 3: individual adaptation degree calculating is carried out by hausdroff distance comparative approach；
Step 4: carry out the selection of individuality；
Step 5: to the individuality after selecting, intersected and make a variation；
Step 6: generate new population；
Step 7: judge in new population, whether the maximum individuality of fitness meets the required precision of data exchange:
If meeting required precision, enter step 8；
If being unsatisfactory for required precision, turn round execution step 3；
Step 8: extract the individuality in population with highest fitness value, and by individual real-valuedization, in destination end cad system
Middle reconstruction target SPL β.
Ask for an interview in Fig. 5, step 3 and individual adaptation degree calculating is carried out by hausdroff distance comparative approach, its
The calculation process of body fitness is:
Step 3.1: extract an individual from population；
Step 3.2: using individual value, in former state bar discrete point Integrated query, obtain the interpolation of the batten after real-valuedization
Point set, rebuilds target SPL in destination end cad system；
Step 3.3: discretization is carried out to the target batten rebuild in destination end cad system, obtains the discrete of target batten
Point set；
Step 3.4: former state bar discrete point set and target batten discrete point set are input to hausdroff distance mould
Block；
Step 3.5: obtain the fitness of individuality.
Wherein, individual selection is carried out using conventional roulette gambling mode.It intersects from traditional single-point interleaved mode, selects
At the 0.5 of individual a variable and at the 0.5 of individual b variable, carry out single-point intersection, the probability of intersection is 0.9；Its variation select into
The adaptive variation mode of row, enters row distance and solves to the target SPL β being made up of interpolation point set t and former SPL α,
Obtain the interpolation point with maximum hd value, using this interpolation point in t as change point, then push away its dyeing for this interpolation point is counter
Body expression formula, finds corresponding variable, then carries out single-point variation.
These are only presently preferred embodiments of the present invention, be not intended to limit protection scope of the present invention, therefore, all
Any modification, equivalent substitution and improvement made within the spirit and principles in the present invention etc., should be included in the protection model of the present invention
Within enclosing.
Claims (9)
1. a kind of isomery cad model data based on genetic algorithm exchanges system it is characterised in that: include source cad system,
Xml document and destination end cad system；Described isomery cad model data is by extracting feature ginseng in described source cad system
Number, sketch parameter are simultaneously saved in described xml document, and described xml document adopts structured way to preserve parameterized information；
This xml document is sent in described destination end cad system, the parameter information in xml document is carried out classification process, subsequently
Enter the reconstruction of vehicle timespace diagram parameter, characteristic parameter in described destination end cad system, finally realize the ginseng of former isomery cad model
Numberization process of reconstruction；
Described destination end cad system includes advance data processing module, rebuilds target batten module, rebuilds 2d sketch parameter letter
Breath module, reconstruction 3d characteristic parameter information module and reconstruction cad model module, described advance data processing module is used for realizing
In xml document, the classification of parameter and conversion, described reconstruction target batten module are used for realizing reconstruct SPL, described weight
Build 2d sketch parameter information module and be used in fact for realizing reconstruction, described reconstruction 3d characteristic parameter information module that 2d sketch is believed
The reconstruction of existing 3d feature, described reconstruction cad model module are used for realizing the reconstruction of cad model；
Described advance data processing module is divided into two-layer: 2d sketch parameter layer and 3d characteristic parameter layer；
Described 2d sketch parameter layer includes batten data exchange map unit, direct sketch parameter mapping units and indirect sketch
Parameter mapping units, described 3d characteristic parameter layer includes direct characteristic parameter map unit and the mapping of indirect characteristic parameter is single
Unit, described batten data exchange map unit is used for realizing the exchange of batten parameter, described direct sketch parameter mapping units
Paint that parameter exchanges, described indirect sketch parameter mapping units are used for realizing 1:n or n:1 grass and paint parameter handing over for realizing 1:1 grass
Change, described direct characteristic parameter map unit is used for realizing the exchange of 1:1 characteristic parameter, described indirect characteristic parameter mapping list
Unit is used for realizing the exchange of 1:n or n:1 characteristic parameter；
The operation principle of described batten data exchange map unit is: first, extracts former cad model from source cad system；
Secondly, former cad model extracts former SPL α；Then, high-precision discretization is carried out to former SPL α, obtain
Discrete point set q={ q1,q2,..,qn}；Then, using q as cloud data, using genetic algorithm, automatically select in discrete point set q
M point is interpolation point set t={ t1,t2,..,tm, in destination end cad system, rebuild target batten using interpolation point set t bent
Line β；Finally, reconstruction model in destination end cad system.
2. isomery cad model data based on genetic algorithm according to claim 1 exchanges system it is characterised in that:
Described source cad system includes cad model module, 3d characteristic parameter information module, 2d sketch parameter information module and batten
Discrete data module, described cad model module is used for realizing extracting cad model, and described 3d characteristic parameter information module is used
In realizing extracting 3d characteristic parameter, described 2d sketch parameter information module is used for realizing extracting 2d grass and paints parameter, described sample
Bar discrete data module is used for realizing extracting batten exchange auxiliary information.
3. isomery cad model data based on genetic algorithm according to claim 1 exchanges system it is characterised in that:
Described employing genetic algorithm rebuilds target SPL β, and it implements including following sub-step:
Step 1: extract the discrete point set of former SPL α；
Step 2: initialization population, contain k individual, wherein k ＞ 1 in population；
Step 3: individual adaptation degree calculating is carried out by hausdroff distance comparative approach；
Step 4: carry out the selection of individuality；
Step 5: to the individuality after selecting, intersected and make a variation；
Step 6: generate new population；
Step 7: judge in new population, whether the maximum individuality of fitness meets the required precision of data exchange:
If meeting required precision, enter step 8；
If being unsatisfactory for required precision, the described step 3 of revolution execution；
Step 8: extract the individuality in population with highest fitness value, and by individual real-valuedization, weight in destination end cad system
Build target SPL β.
4. isomery cad model data based on genetic algorithm according to claim 3 exchanges system it is characterised in that:
Initialization population described in step 2, its method is:
Population:
Individual: ik={ vk1, vk2..., vkm...., vkm}
Population contains k individuality, and each individuality contains m variable；K-th individual i simultaneouslykIn variable vkmEnter using two
Gene representation processed, variable vkmGene number π determined by the number of discrete point set q, and meet relational expression
5. the system that the isomery cad model data based on genetic algorithm according to claim 3 or 4 exchanges, its feature exists
In: the individual amount k in described population is 40.
6. isomery cad model data based on genetic algorithm according to claim 4 exchanges system it is characterised in that:
Described individual ik, interpolation point set t, the relation between discrete point set q three be:
ik={ vk1, vk2..., vkm...., vkmAnd t={ t1, t2.., tmIt is one-to-one relation, i is the index of t
Value；
By discrete point set q={ q1, q2.., qnThe subscript of all elements carry out the binary representation of π position, by initialization kind
After group, take out individual ikValue, then can carry out the individual i of real-valuedization by inquiring about the subscript of discrete point set qk, obtain interpolation point
Collection t={ t1, t2.., tm}；
T={ t1, t2.., tmIt is q={ q1, q2.., qnSubset.
7. isomery cad model data based on genetic algorithm according to claim 3 exchanges system it is characterised in that:
Described in step 3, individual adaptation degree calculating is carried out by hausdroff distance comparative approach, its individual adaptation degree
Calculation process is:
Step 3.1: extract an individual from population；
Step 3.2: using individual value, in former state bar discrete point Integrated query, obtain the interpolation point set of the batten after real-valuedization,
Target SPL β is rebuild in destination end cad system；
Step 3.3: discretization is carried out to the target batten rebuild in destination end cad system, obtains the discrete point set of target batten；
Step 3.4: former state bar discrete point set and target batten discrete point set are input to hausdroff distance module；
Step 3.5: obtain the fitness of individuality.
8. isomery cad model data based on genetic algorithm according to claim 3 exchanges system it is characterised in that:
The individual selection of carrying out described in step 4, is to carry out individual selection using conventional roulette gambling mode.
9. isomery cad model data based on genetic algorithm according to claim 3 exchanges system it is characterised in that:
Described in step 5 to select after individuality, intersected and made a variation；It intersects from traditional single-point interleaved mode, choosing
Select at the 0.5 of individual a variable and at the 0.5 of individual b variable, carry out single-point intersection, the probability of intersection is 0.9；Its variation selects
Carry out adaptive variation mode, the target SPL β and former SPL α being made up of interpolation point set t is entered by row distance and ask
Solution, obtains the interpolation point with maximum hd value, using this interpolation point in t as change point, then pushes away for this interpolation point is counter
Its chromosomal expression formula, finds corresponding variable, then carries out single-point variation.
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