CN109977572A - A kind of product parts blocks of knowledge relational network construction method - Google Patents
A kind of product parts blocks of knowledge relational network construction method Download PDFInfo
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- CN109977572A CN109977572A CN201910260138.8A CN201910260138A CN109977572A CN 109977572 A CN109977572 A CN 109977572A CN 201910260138 A CN201910260138 A CN 201910260138A CN 109977572 A CN109977572 A CN 109977572A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
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Abstract
The invention discloses a kind of product parts blocks of knowledge relational network construction methods, it is using the different blocks of knowledge in product as the node of network, using the membership of blocks of knowledge as the side of network, and all sides are all taken as nonoriented edge, incidence coefficient of the weight on side between blocks of knowledge, to constitute a weighting Undirected networks.The present invention constructs Green design knowledge network model on the basis of Weighted Complex Networks, provides preprocess method for subsequent knowledge processing work.
Description
Technical field
The present invention relates to knowledge network model construction field more particularly to a kind of product parts blocks of knowledge relational network structures
Construction method.
Background technique
Product Green Design can use a large amount of design knowledge being designed movable each stage, however design
In the process, engineer generally takes searches in high diversity and non-structured knowledge resource correctly more than 50% time
Information.Therefore, effectively storage, management and retrieval design knowledge are that enterprise and industry reduce the product development life cycle time
And cost, improve the major measure of Quality of Product.For fragmentation knowledge point it is not readily understood, lack connection the problems such as,
How the relationship between Extracting Knowledge unit, the problems such as how constructing product-design knowledge resource network also becomes many scholars and grinds
The hot spot studied carefully.
The present invention is based on spatial domain and time-domain on the basis of analyzing electromechanical Product Green Design blocks of knowledge relevance
Incidence matrix between two dimensions building blocks of knowledge, studies its topological property structure, provides and a kind of establishes knowledge network
The method of model.
Summary of the invention
The purpose of the present invention is to solve disadvantages existing in the prior art, and the one kind proposed.
To achieve the goals above, present invention employs following technical solutions:
A kind of product parts blocks of knowledge relational network construction method, it is using the different blocks of knowledge in product as net
All sides using the membership of blocks of knowledge as the side of network, and are all taken as nonoriented edge by the node of network, and the weight on side is to know
The incidence coefficient between unit is known, to constitute a weighting Undirected networks.
The model of blocks of knowledge relational network can be indicated by formula (12):
G=(K, E, W) (12)
Wherein, K represents the set of blocks of knowledge in network, i.e. K=(k1, k2 ..., kn)；E represents blocks of knowledge in network
Between side set, i.e. E=(e1, e2 ..., en)；W represents the set of weight between blocks of knowledge, i.e. W=(w1, w2 ...,
Wn), the size of wn reacts the strength of association between two blocks of knowledge, and the weight on side also represents a blocks of knowledge and changes
Cause the probability of adjacent blocks of knowledge variation after change.
Advantages of the present invention:
The present invention expresses Green design blocks of knowledge using matter-element theory, based on time-domain and spatial domain two dimensions
It spends and quantitative analysis is carried out to the incidence relation between blocks of knowledge, form the incidence matrix between blocks of knowledge, it is multiple in weighting
Green design knowledge network model is constructed on miscellaneous network foundation, provides preprocess method for subsequent knowledge processing work.
Detailed description of the invention
Fig. 1 is based on improvement complex network knowledge network model；
Fig. 2 is incidence matrix；
Fig. 3 is engine mockup.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Automobile Motor Design is a kind of typical electro-mechanical arts Complicated Product, although engine designing technique
Will be quite mature, but still need intensively since engine part is numerous and design process is relative complex in design process
Design knowledge is as support.As the demand of market environmentally friendly product is continuously increased, enterprise needs to develop lower
Carbon, efficient product are to cope with fierce market competition.This patent is to construct engine Green design knowledge complex network and become
For more impact analysis, above method validity is verified.
The specific structure is shown in FIG. 3 for engine；It is broadly divided into 24 structural units, the corresponding knowledge list of each structural unit
Member is indicated with k1 to k24, and Product Green Design blocks of knowledge is described.Such as connecting rod blocks of knowledge can be expressed as
By cylinder block blocks of knowledge and connecting rod blocks of knowledge for the incidence coefficient of spatial domain calculates, in knowledge network
The incidence coefficient of blocks of knowledge calculates.Choose geometric attribute constraint, mount attribute constraint, dismantling attribute constraint, material properties about
Beam, precision attribute constraint and environmental performance constrain 6 characteristic attributes, and corresponding different degree is successively are as follows: and 0.7,0.6,0.4,0.2,
0,0.4.It can be calculated:
I.e. cylinder block blocks of knowledge and connecting rod blocks of knowledge are 0.38 in the incidence coefficient of spatial domain, and so on, respectively
Calculation knowledge unit establishes the incidence matrix between blocks of knowledge, part in space domain correlation intensity and time-domain strength of association
Incidence matrix between blocks of knowledge is as follows.
Incidence matrix of the blocks of knowledge in spatial domain.
Incidence matrix of the blocks of knowledge in time-domain.
Establish weight sets a, it may be assumed that
The matrix for obtaining corresponding linear equation group indicates:
To obtain the solution of system of linear equations are as follows: β=(0.04,0.007,0.963), the coefficient are the optimal set of weight sets
Collaboration number, then obtain the game theory combining weights vector of incidence coefficient are as follows:
It can thus be concluded that the strength of association between knowledge unit Ci and blocks of knowledge Cj can indicate are as follows:
Obtain the incidence matrix between engine knowledge network model.
The engine green with 24 knowledge nodes and 177 sides is created in Pajek software by incidence matrix,
Design knowledge network model.
Claims (2)
1. a kind of product parts blocks of knowledge relational network construction method, which is characterized in that it is by the different knowledge in product
All sides using the membership of blocks of knowledge as the side of network, and are all taken as nonoriented edge, side by node of the unit as network
Incidence coefficient of the weight between blocks of knowledge, to constitute a weighting Undirected networks.
2. a kind of product parts blocks of knowledge relational network construction method according to claim 1, which is characterized in that knowledge
The model of unit relational network can be indicated by formula (12):
G=(K, E, W) (12)
Wherein, K represents the set of blocks of knowledge in network, i.e. K=(k1, k2 ..., kn)；E is represented in network between blocks of knowledge
The set on side, i.e. E=(e1, e2 ..., en)；W represents the set of weight between blocks of knowledge, i.e. W=(w1, w2 ..., wn), wn
Size react the strength of association between two blocks of knowledge, the weight on side, which also represents after a blocks of knowledge changes, draws
The probability for variation of sending out blocks of knowledge adjacent.
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| CN201910260138.8A CN109977572B (en) | 2019-04-02 | 2019-04-02 | Product part knowledge unit relation network construction method |
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| CN201910260138.8A CN109977572B (en) | 2019-04-02 | 2019-04-02 | Product part knowledge unit relation network construction method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159235A (en) * | 2021-05-24 | 2021-07-23 | 合肥工业大学 | Knowledge collaborative clustering method for product green design |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008152739A (en) * | 2006-12-13 | 2008-07-03 | Tokyo Institute Of Technology | Knowledge management device, method, program, and recording medium of research field from document information |
| CN106557967A (en) * | 2016-10-27 | 2017-04-05 | 浙江大学城市学院 | A kind of product-design knowledge builds processing method |
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2019
- 2019-04-02 CN CN201910260138.8A patent/CN109977572B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008152739A (en) * | 2006-12-13 | 2008-07-03 | Tokyo Institute Of Technology | Knowledge management device, method, program, and recording medium of research field from document information |
| CN106557967A (en) * | 2016-10-27 | 2017-04-05 | 浙江大学城市学院 | A kind of product-design knowledge builds processing method |
Non-Patent Citations (2)
| Title |
|---|
| 王有远等: "基于本体的产品创新设计知识网络研究", 《计算机技术与发展》 * |
| 程辉等: "基于设计流水线的产品设计过程管理系统", 《计算机集成制造系统》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159235A (en) * | 2021-05-24 | 2021-07-23 | 合肥工业大学 | Knowledge collaborative clustering method for product green design |
| CN113159235B (en) * | 2021-05-24 | 2022-09-30 | 合肥工业大学 | Knowledge collaborative clustering method for product green design |
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