CN105956320B - Engine deisgn product numeral ecosystem modeling and storage method - Google Patents
Engine deisgn product numeral ecosystem modeling and storage method Download PDFInfo
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- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Abstract
The present invention relates to a kind of engine deisgn product numeral ecosystem modeling and storage methods, comprising steps of 1) according to the structure of engine, each subsystem definition for including by engine be group, by each Part Definition in engine be individual, part of the same race in each subsystem group of individuals is defined as population；2) mathematical model of each part is established according to the structure feature of part；3) mathematical model of population is established；4) mathematical model of group is established according to the assembly relation of part each in each subsystem；5) mathematical model of the engine ecosystem is established according to the assembly relation between each subsystem and is stored.Compared with prior art, the present invention is few to the information lost in the digitlization storing process of part, while the redundancy of storing data is few.
Description
Technical field
The present invention relates to a kind of industrial design automatic technologies, more particularly, to a kind of engine deisgn product digital ecological
Systematization modeling and storage method.
Background technique
Modern industry has the characteristics that information dense, knowledge-intensive, and to meet growth requirement, the design method of product is with intelligence
Energyization, it is integrated, be automated as developing direction, intelligent design is to solve the problems, such as this inexorable trend.Intelligent design is people
The intelligent new system for combining and being formed with computer aided design system of work.It is input with user function demand, with product
Design scheme is described as exporting, and function, performance, materials, the process etc. that comprehensively consider product optimize scheme, to reach
To the target of Automated Design.
As product structure tends to be complicated, function tends to Composite and integrated, and product design process will be produced towards complexity
Product.Complex product refers to high cost, extensive, high-tech, the product of engineering-intensive type, subsystem, system or facility；Complexity produces
The customer demand of product is complicated, product form is complicated, manufacturing process is complicated, test maintenance is complicated, project management is complicated, working environment
It is complicated.But in real work, and not all complex product is all to be designed from scratch, the study found that about 70% production
Product design can be classified as adaptability design, i.e. product design is changed.Design alteration refers to design department to former construction drawing and sets
Count the change and modification of design standard state expressed in file.Studies have shown that caused by design alteration in complex product
Loss up to ten million.
It is studied for existing design alteration processes a large amount of in the design process of complex product, realizes change in design
The automation of journey can greatly reduce cost, more intelligent, preferably be combined with industry 4.0, and industrial design automates most base
Plinth is industrial products modeling, the digitlization storage models of industrial products determine its intelligence can walk how far, if initial stage
Model is not put up, and due to all kinds of researchs and expanded application that the later period extends on the basis of incomplete, then modification is gone to send mould
The cost of type frame structure will be huge.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of designs of engine to produce
The modeling of product numeral ecosystem and storage method.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of engine deisgn product numeral ecosystem modeling and storage method, comprising steps of
1) according to the structure of engine, each subsystem definition for including by engine is group, by each of engine
Part Definition is individual, and part of the same race in each subsystem group of individuals is defined as population；
2) mathematical model of each part is established according to the structure feature of part:
PI={ Feathre, FeatureOrder, FeatureRelation }
Wherein: PI indicates that individual, the set of the feature of Feathre composition individual, FeatureOrder indicate composition individual
Feature between sequence, FeatureRelation indicate feature between relational matrix；
3) mathematical model of population is established:
PP={ IndividualType, scale, PopulationRelation, CommunityType }
Wherein: PP indicates population, and IndividualType indicates the individual classification of composition population, and scale indicates the population
Scale, PopulationRelation indicate population Personal between relational matrix, CommunityType indicate population
Locating group；
4) mathematical model of group is established according to the assembly relation of part each in each subsystem:
PC={ { PP }, PPRelation, function }
Wherein: { PP } indicates the set of the population of composition group, and PPRelation is indicated between each individual of composition group
Relational matrix, function indicates the specific function that the group is realized；
5) mathematical model of the engine ecosystem is established according to the assembly relation between each subsystem and is stored:
PES={ { PC }, PCRelation, FUNCTION }
Wherein: { PC } indicates the set of the group of composition product numeral ecosystem, and PCRelation indicates composition ecology
The set of assembly relation between each group of system；FUNCTION indicates the specific function that the ecosystem is realized.
The type of the feature includes: boss, groove, rotary body, sweep volume, fillet, chamfering, hole, takes out shell；
Step is specifically included to a part founding mathematical models process in the step 2):
21) it determines the feature for including in the part, and determines the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with the correlation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the correlation of i and feature j, i, j ∈ { 1,2 ..., n }, n are that the feature that the part includes is total
Number；
23) integration obtains feature, feature ordering and relational matrix and obtains the mathematical model of the part.
The correlation of the feature i and feature j is Spatial predicate logical relation, the type packet of Spatial predicate logical relation
Include: irrelevant, stretching, rotation, scanning, rounded corner, executes chamfering, punching, executes and take out shell grooving.
The step 4) specifically includes step:
41) all parts in subsystem are ranked up according to its affiliated population；
42) according to the sequence of each part, in conjunction with the assembly relation opening relationships matrix PPRelation between each part:
Wherein: bijFor the correlation of part i and part j, i, j ∈ { 1,2 ..., m }, m are that the part that the group includes is total
Number；
43) function of integration obtains population, Job Scheduling, relational matrix PPRelation and the subsystem obtains group
Mathematical model.
Element in the relational matrix PPRelation is made of 0, one or more data groups, any data
Group are as follows:
Dateseries={ r, fi,fj}
Wherein: dateseries is data group, and r is first assembly relation, fiFor in part i involved in first assembly relation
Feature, fjFor the feature designed by the peace assembly relation in part j,
It is described member assembly relation type include: point-is harmonious, point-line is harmonious, it is point-face be harmonious, line-line is harmonious, line-
Face is harmonious, surface-to-surface is harmonious, contacts, deviates, angle, connects firmly, welds, gear drive.
Compared with prior art, the invention has the following advantages that
1) present invention by the subsystem definition for including in product be group, by Part Definition be individual, individual by multiple spies
Sign forms, and the connection between connection and population between feature is indicated by relational matrix, convenient for utilizing established model
Mathematics calculation when automation optimization design is carried out, it is few to the information lost in the digitlization storing process of part, it stores simultaneously
The redundancy of data is few.
2) feature type be classified as boss, groove, rotary body, sweep volume, fillet, chamfering, hole, take out shell, be convenient for
Definition mathematically, matching relationship matrix F eatureRelation, facilitates storage, it is possible to reduce storing data, for same
The digitlization of part stores, and compared to the storage of trivector figure is carried out, data compression rate is high.
3) correlation between two features is Spatial predicate logical relation, the type packet of Spatial predicate logical relation
Include: irrelevant, stretching, grooving, rotation, scanning, rounded corner, execute chamfering, punching, execute take out shell, carried out with feature it is corresponding, if
It is more reasonable to count, and is distorted small.
4) assembly relation of two parts is accurate to the feature rank in part by relational matrix PPRelation, therefore
When the automation adjustment of product, it can also be accurate to feature rank, the result BUG for automating adjustment is small.
Detailed description of the invention
Fig. 1 is the main process flow steps schematic diagram of the method for the present invention；
Fig. 2 is the structural schematic diagram of piston；
Fig. 3 is the space predicate verb net of piston；
Fig. 4 is crankshaft connecting rod system composition schematic diagram；
Fig. 5 is the assembly relation network model schematic diagram of crank link mechanism；
Fig. 6 is that assembly relation network model signal between the feature of individual is formed about piston 1, connecting rod 1 and connecting rod cap 1
Figure；
Fig. 7 is engine numeral ecosystem assembly relation network model schematic diagram.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to
Following embodiments.
It is studied for existing design alteration processes a large amount of in the design process of complex product.To realize change in design
Concept of Ecosystem is introduced product design process by the automation of process, and industry 4.0 proposes product numeral ecosystem concept.
The expected product ecosystem can simulate the ecosystem in nature, can not only indicate each constituent of internal system and
It is contacted, and more can be adapted for propagation and degradation status process, as the transmitting carrier of design alteration, further to become to design
It more carries out research and good model vehicle is provided.
For this purpose, present applicant proposes a kind of engine deisgn product numeral ecosystem modeling and storage method, such as Fig. 1
It is shown, comprising steps of
1) according to the structure of engine, each subsystem definition for including by engine is group, by each of engine
Part Definition is individual, and part of the same race in each subsystem group of individuals is defined as population；
The ecosystem is a self-organizing, adaptive system, when one or more of elements change
When, the other parts of system can automatically occur to change accordingly, so that it is guaranteed that the trouble-free operation of whole system.It will give birth to herein
The theory of state system is introduced into product design process, and product numeral ecosystem is defined as follows: in certain space model
In enclosing, different components are constituted unified whole, generate shadow by information, energy, the transmitting of substance and exchange each other
It rings, can be realized certain function, and be adapted to environment, which is known as product numeral ecosystem.
Specifically, the composition frame of product numeral ecosystem is as shown in table 1:
Table 1
2) minimum unit that we will form product --- part is as the individual in product numeral ecosystem.For example,
Piston, connecting rod, connecting rod cap and crankshaft in crank link mechanism etc., they are all seen as individual in numeral ecosystem.?
In CSG (Constructive Solid Geometry constructs solid geometry method) model, entity is passed through by basic body element
Various operations generate, and herein, choose the feature of component part as most basic component units, with Spatial predicate Logic Networks
Mode generates final material object parts.
The mathematical model of each part is established according to the structure feature of part:
PI={ Feathre, FeatureOrder, FeatureRelation }
Feature={ F1,F2,…,Fn}
FeatureOrder={ F1→F2→…→Fn}
Wherein: PI indicates that individual, the set of the feature of Feathre composition individual, FeatureOrder indicate composition individual
Feature between sequence, FeatureRelation indicate feature between relational matrix, Fi(i=1,2 ..., n) indicate tool
The feature of body is one of boss, groove, rotary body, sweep volume, fillet, chamfering, hole, pumping shell；
Step is specifically included to a part founding mathematical models process in step 2):
21) it determines the feature for including in the part, and determines the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with the correlation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the correlation of i and feature j, i, j ∈ { 1,2 ..., n }, n are that the feature that the part includes is total
Number；
23) integration obtains feature, feature ordering and relational matrix and obtains the mathematical model of the part.
The correlation of feature i and feature j are Spatial predicate logical relation, and the type of Spatial predicate logic includes: unrelated
System, grooving, rotation, scanning, rounded corner, executes chamfering, punching, executes and take out shell stretching, and specific coding is as shown in table 2:
Table 2
The specific descriptions of features above can have a further optimization design, but and be not belonging to the model of the application discussion
Farmland, specifically describing in the application can be specific as follows as long as being digitized storage using some known descriptions:
Boss: the restricted type of major parameter, such as size, until it is next, until plane；Profile, direction etc.；
Groove: the restricted type of major parameter, such as size, until it is next, until plane；Profile, direction etc.；
Rotary body: the angled limitation of major parameter, profile etc.；
Sweep volume: major parameter has profile, scan path etc.；
Fillet: major parameter has the object etc. of radius and corners；
Chamfering: major parameter has object, length and angle of chamfering etc.；
Hole: the porose diameter of major parameter, the depth in hole and positioning sketch etc.；
Take out shell: major parameter has face, inner thickness and thickness as outside of removal etc.；
The mathematical definition of feature is as follows:
F={ Type, p1,…,pl}
Wherein, F indicates feature, and Type indicates the type of feature, pi(i=1 ..., l) indicates the relevant parameter of feature, right
It may be different in the value of different features, l.
For piston physical model, as shown in Figure 1, piston entity by following feature form boss 1,2 (not shown) of boss,
3 (not shown) of boss, groove 1,2 (not shown) of groove, groove 3, space predicate verb net is as shown in figure 3, each leaf in figure
Node indicates the main feature of the composition piston entity, and digital representation Spatial predicate logic, concrete meaning is as shown in table 2, two
Node generates more complicated feature by Spatial predicate logical operation, until generating last part individual.
The process of feature component part has specific sequence, the spatial relation between two adjacent features of sequence
It can be embodied by the Spatial predicate Logic Networks of part, can restore to arrive description by relational matrix FeatureRelation,
The relational matrix FeatureRelation of piston as shown in Figure 2 is specially matrix A:
The Spatial predicate Logic Networks of part grade are a special binary trees, other than top, each layer of left sibling
All there are two child nodes, and right node is all without child node simultaneously.
The rule that Spatial predicate Logic Networks are converted to relational matrix is as follows:
The size that relational matrix is arranged is h+1, and h (h is generally n-1) is the highest level of Spatial predicate Logic Networks, root section
Point is the 0th layer；
Num (L (h))=1, num (R (h))=2, num (R (h-1))=num (R (h))+1=3 and so on, L (h) are h
The left subtree of layer, R (h) indicate h layers of right subtree
A is setij=k then aji=-k, k are characterized the corresponding Spatial predicate logic coding of i and feature j.
The rule that relational matrix is converted to Spatial predicate Logic Networks is as follows:
The feature that number is 1 in matrix is placed in the top left sibling of characteristics tree, the feature that number is 2 is placed in highest
The right node of layer, when 1 >=3, the right node feature for i will be numbered being placed in h-1+2 layers.
3) mathematical model of population is established:
PP={ IndividualType, scale, PopulationRelation, CommunityType }
Wherein: PP indicates population, and IndividualType indicates the individual classification of composition population, and scale indicates the population
Scale, PopulationRelation indicate population Personal between relational matrix, CommunityType indicate population
Locating group；
Population, i.e. " certain class part ": with type part group of individuals in a certain space, structure having the same, function
The part of characteristic constitutes same population.As in engine numeral ecosystem piston population, connecting rod population, connecting rod cap population and
Crankshaft population etc..As shown in figure 4, piston population has 4 individuals, connecting rod population has 4 individuals, and connecting rod cap population has 4 individuals,
Only one individual of crankshaft population.
4) mathematical model of group is established according to the assembly relation of part each in each subsystem:
PC={ { PP }, PPRelation, function }
Wherein: { PP } indicates the set of the population of composition group, and PPRelation is indicated between each individual of composition group
Relational matrix, function indicates the specific function that the group is realized；
Assembly relation definition: the relationship between different population mainly passes through the individual in population and the individual in other populations
Between correlation and embody.In product numeral ecosystem, the relationship between population is mainly assembly relation, including
Be harmonious constraint, contiguity constraint, offset constraint, angle restriction, connect firmly constrain etc..The detailed description of each assembly relation and coding situation
As shown in table 3.
Table 3
Step 4) specifically includes step:
41) all parts in subsystem are ranked up according to its affiliated population；
42) according to the sequence of each part, in conjunction with the assembly relation opening relationships matrix PPRelation between each part:
Wherein: bijFor the correlation of part i and part j, i, j ∈ { 1,2 ..., m }, m are that the part that the group includes is total
Number；
Element in relational matrix PPRelation is made of 0, one or more data groups, any data group are as follows:
Dateseries={ r, fi,fj}
Wherein: dateseries is data group, and r is first assembly relation, fiFor in part i involved in first assembly relation
Feature, fjFor in pacifying the feature in part j designed by assembly relation, the type of first assembly relation is as shown in table 3.
43) function of integration obtains population, Job Scheduling, relational matrix PPRelation and the subsystem obtains group
Mathematical model.
According to the mathematical model of group, network model can be converted to carry out more intuitive displaying, as shown in figure 5,
Node in figure indicates the individual of composition product numeral ecosystem, wherein dotted line indicates between the individual inside same population
Relationship, predominantly competitive relation；Solid line indicates the relationship between different population individual, is the set of assembly relation, on solid line
The specific assembly relation of digital representation, concrete meaning can be shown in Table 3.When the assembly relation between two individuals is not unique, use
The form of multi-component system describes.
Now the form of the Spatial predicate Logic Networks of the part in Fig. 4 is replaced according to the mathematical model of group, then can obtain group
At the assembly relation network between the feature of individual, as shown in Figure 6.
Fig. 6 has chosen the individual of the group part in Fig. 4, i.e. piston 1, connecting rod 1, connecting rod cap 1, respectively with the spy of composition individual
It levies to indicate individual, generates the assembly relation network between feature.Wherein, the node in Spatial predicate Logic Networks indicates composition
The feature of individual, f indicate component relationship, the digital representation Spatial predicate logical relation in bracket, illustrate and are shown in Table 2, multiple
Feature generates more complicated feature by Spatial predicate logical relation, until generating part individual.If between Different Individual feature
There are assembly relations, then are connected with dotted line, the specific assembly relation of digital representation on dotted line, detailed description is shown in Table 3.Feature
Number of the digital representation feature of lower section in the network.
5) mathematical model of the engine ecosystem is established according to the assembly relation between each subsystem and is stored:
PES={ { PC }, PCRelation, FUNCTION }
Wherein: { PC } indicates the set of the group of composition product numeral ecosystem, and PCRelation indicates composition ecology
The set of assembly relation between each group of system；FUNCTION indicates the specific function that the ecosystem is realized.
Product numeral ecosystem is defined as follows: in certain space, different components are constituted unified whole,
It is had an impact between each other by the transmitting and exchange of information, energy and substance, can be realized certain function, and can fit
Environment is answered, which is known as product numeral ecosystem.
Engine product numeral ecosystem mainly includes 7 major communities: fuel supply system group, lube system group, cooling
Be group, igniting be group, start be group, crank link mechanism group and valve actuating mechanism group.The engine ecosystem
Assembly relation network model is as shown in Figure 7.In addition, energy conversion is the major function of engine product numeral ecosystem.
Fig. 7 is engine ecosystem assembly relation network diagram, and as seen from the figure, the engine ecosystem is by 7 jumpbogroups
Composition is fallen, is indicated respectively with the node of different colours.Wherein, Li(i=1,2 ..., 21) it indicates in engine numeral ecosystem
The relationship possessed between 7 major communities.
By 7 major community's crank link mechanisms, valve actuating mechanism, fuel supply system, lube system, starting is cooling system, igniting system
Number is 1-7 respectively, then ecosystem assembly relation network shown in Fig. 7 can be described by following matrix B:
In conclusion establishing engine deisgn product numeral ecosystem model, and stored, items can be distributed
Mesh group carries out automation adjusted design.
Claims (6)
1. a kind of engine deisgn product numeral ecosystem modeling and storage method, which is characterized in that comprising steps of
1) according to the structure of engine, each subsystem definition for including by engine is group, by each part in engine
It is defined as individual, part of the same race in each subsystem group of individuals is defined as population；
2) mathematical model of each part is established according to the structure feature of part:
PI={ Feathre, FeatureOrder, FeatureRelation }
Wherein: PI indicates that individual, the set of the feature of Feathre composition individual, FeatureOrder indicate the spy of composition individual
Sequence between sign, FeatureRelation indicate the relational matrix between feature；
3) mathematical model of population is established:
PP={ IndividualType, scale, PopulationRelation, CommunityType }
Wherein: PP indicates population, and IndividualType indicates the individual classification of composition population, and scale indicates the rule of the population
Mould, PopulationRelation indicate that the relational matrix between population Personal, CommunityType indicate locating for population
Group；
4) mathematical model of group is established according to the assembly relation of part each in each subsystem:
PC={ { PP }, PPRelation, function }
Wherein: { PP } indicates the set of the population of composition group, and PPRelation indicates the pass between each individual of composition group
It is matrix, function indicates the specific function that the group is realized；
5) mathematical model of the engine ecosystem is established according to the assembly relation between each subsystem and is stored:
PES={ { PC }, PCRelation, FUNCTION }
Wherein: { PC } indicates the set of the group of composition product numeral ecosystem, and PCRelation indicates the composition ecosystem
Each group between assembly relation set；FUNCTION indicates the specific function that the ecosystem is realized.
2. a kind of engine deisgn product numeral ecosystem modeling according to claim 1 and storage method, special
Sign is, the type of the feature include: boss, groove, rotary body, sweep volume, fillet, chamfering, hole, take out in shell at least one
Kind；
Step is specifically included to a part founding mathematical models process in the step 2):
21) it determines the feature for including in the part, and determines the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with the correlation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the correlation of i and feature j, i, j ∈ { 1,2 ..., n }, n are that the feature that the part includes is always a
Number；
23) integration obtains feature, feature ordering and relational matrix and obtains the mathematical model of the part.
3. a kind of engine deisgn product numeral ecosystem modeling according to claim 2 and storage method, special
Sign is that the correlation of the feature i and feature j are Spatial predicate logical relation, the type packet of Spatial predicate logical relation
Include: irrelevant, stretching, rotation, scanning, rounded corner, executes chamfering, punching, executes at least one for taking out shell grooving.
4. a kind of engine deisgn product numeral ecosystem modeling according to claim 2 and storage method, special
Sign is that the step 4) specifically includes step:
41) all parts in subsystem are ranked up according to its affiliated population；
42) according to the sequence of each part, in conjunction with the assembly relation opening relationships matrix PPRelation between each part:
Wherein: bijFor the correlation of part i and part j, i, j ∈ { 1,2 ..., m }, m are that the part that the group includes is always a
Number；
43) function of integration obtains population, Job Scheduling, relational matrix PPRelation and the subsystem obtains the number of group
Learn model.
5. a kind of engine deisgn product numeral ecosystem modeling according to claim 4 and storage method, special
Sign is that the element in the relational matrix PPRelation is made of 0, one or more data groups, any data group
Are as follows:
Dateseries={ r, fi,fj}
Wherein: dateseries is data group, and r is first assembly relation, fiFor the feature in part i involved in first assembly relation,
fjFor the feature in the part j involved in peace assembly relation.
6. a kind of engine deisgn product numeral ecosystem modeling according to claim 5 and storage method, special
Sign is, the type of the member assembly relation include: point-is harmonious, point-line is harmonious, it is point-face be harmonious, line-line is harmonious, line-face
It is harmonious, surface-to-surface is harmonious, contacts, deviates, angle, connect firmly, weld, gear-driven at least one.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902866A (en) * | 2012-10-30 | 2013-01-30 | 同济大学 | Engine product design method based on behavioral stream ecosystem architecture |
| US8374828B1 (en) * | 2007-12-24 | 2013-02-12 | The University Of North Carolina At Charlotte | Computer implemented system for protein and drug target design utilizing quantified stability and flexibility relationships to control function |
| CN104636528A (en) * | 2013-11-15 | 2015-05-20 | 同济大学 | Engine modeling method based on behavior flow complex product function community and evolving of behavior flow complex product function community |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8374828B1 (en) * | 2007-12-24 | 2013-02-12 | The University Of North Carolina At Charlotte | Computer implemented system for protein and drug target design utilizing quantified stability and flexibility relationships to control function |
| CN102902866A (en) * | 2012-10-30 | 2013-01-30 | 同济大学 | Engine product design method based on behavioral stream ecosystem architecture |
| CN104636528A (en) * | 2013-11-15 | 2015-05-20 | 同济大学 | Engine modeling method based on behavior flow complex product function community and evolving of behavior flow complex product function community |
Non-Patent Citations (1)
| Title |
|---|
| 面向对象的航空发动机装配模型;王成恩 等;《计算机集成制造系统》;20100531;第16卷(第5期);第942-948页 |
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