CN109858114A - The recognition methods of module type and device - Google Patents
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Abstract
The invention discloses a kind of recognition methods of module type and devices.Wherein, this method comprises: obtaining the requirements set and module to be identified of bogie；Based on requirements set and module to be identified, the general geological coodinate system of module index of variability, the spread index of module to be identified and module to be identified is obtained；Based on module index of variability, spread index and general geological coodinate system, the module type of module to be identified is obtained.The technical issues of recognition methods that the present invention solves module type in the related technology changes the higher cost for responding insufficient and module design to customer demand.
Description
Technical field
The present invention relates to rail traffic product design field, a kind of recognition methods in particular to module type and
Device.
Background technique
With the development of urban economy, metro operation city and operating line item number increase year by year, railcar market from
Traditional opposite stable type is developed to dynamic multiple changing type, so that railcar manufacturing enterprise is from mass production method to extensive
Customization mode is changed, how the diversified customer demand of quick response, with lower cost, the research and development of shorter design cycle
The product of better quality out has become the Major Strategic project of competition among enterprises development.
" modularized design " is a kind of advanced design philosophy and design method, can function is different or function is identical
And the different module of performance is combined and exchanges, and forms the product of many general modification, has product line very big suitable
Ying Xing meets the diversified demand of client.Module type identification is the key link of " modularized design ", in the base that module divides
It is basic module, configuration module, parameterized module, personality module by module divides on plinth.Protect " modularized design " can
Hold basic module it is general on the basis of, by the apolegamy of configuration module, the adaptability modification of parameterized module and personality module
Addition or remove response dynamics variation customer demand.Wherein, basic module, configuration module and parameterized module are modules
Change the core and key of design.Currently, Duo Jia subway main engine plants, the country have carried out " modularized design " work of bogie, but
It is that the recognition methods of existing module type is difficult to combine the response of customer demand and enterprise has reuse two of resource
Aspect leads to the higher cost for changing response deficiency and module design to customer demand.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of recognition methods of module type and devices, at least to solve in the related technology
The technical issues of recognition methods of module type changes the higher cost for responding insufficient and module design to customer demand.
According to an aspect of an embodiment of the present invention, a kind of recognition methods of module type is provided, comprising: obtain and turn to
The requirements set of frame and module to be identified；Based on requirements set and module to be identified, module index of variability, module to be identified are obtained
Spread index and module to be identified general geological coodinate system；Based on module index of variability, spread index and general geological coodinate system, mould to be identified is obtained
The module type of block.
Further, it is based on requirements set and module to be identified, obtains module index of variability, comprising: in requirements set
Each demand classify, obtain the demand type of each demand, wherein demand type includes one of following: general requirment,
Adaptability demand and individual needs；Based on the mapping relations between adaptability demand and module to be identified, obtains module variation and refer to
Number.
Further, based on the mapping relations between adaptability demand and module to be identified, module index of variability is obtained, is wrapped
It includes: based on adaptability demand and module to be identified, determining technical indicator；Influence based on adaptability demand to technical indicator is strong
Degree, obtains the first correlation matrix；The influence intensity that identification module is treated based on technical indicator, obtains the second correlation matrix；
Based on the first correlation matrix and the second correlation matrix, module index of variability is obtained.
Further, it is based on the first correlation matrix and the second correlation matrix, obtains module index of variability, comprising: right
First correlation matrix is normalized, and obtains normalization matrix；Based on normalization matrix and corresponding demand weight, obtain
To the index weights of technical indicator, wherein demand weight is obtained using analytic hierarchy process (AHP)；Based on index weights and the second phase
Closing property matrix, obtains module index of variability.
Further, it is based on requirements set and module to be identified, obtains the spread index of module to be identified, comprising: be based on
Change disturbance degree between module to be identified, obtains third correlation matrix；Based on third correlation matrix, module sending is obtained
Spread index and module absorb spread index；Obtain module and issue the difference that spread index and module absorb spread index, obtain to
The spread index of identification module.
Further, based on the change disturbance degree between module to be identified, third correlation matrix is obtained, comprising: obtain
The weighted sum of change disturbance degree between module to be identified, obtains third correlation matrix.
Further, change disturbance degree includes: structure disturbance degree, interface disturbance degree, Effect of Materials degree and performance disturbance degree.
Further, be based on requirements set and module to be identified, obtain the general geological coodinate system of module to be identified, comprising: obtain to
Multiple sample instances that identification module includes；Classify to multiple sample instances, obtain at least one sample instance set,
In, each sample instance set includes: at least one sample instance；Obtain the first depth factor and first of each sample instance
Breadth index；The first depth factor and the first breadth index based on all sample instances that each sample instance set includes,
Obtain the second depth factor and the second breadth index of each sample instance set；Based at least one sample instance set
Two depth factors and the second breadth index, obtain general geological coodinate system.
Further, classify to multiple sample instances, obtain at least one sample instance set, comprising: obtain to
The characteristic parameter of identification module；The similarity between characteristic parameter is obtained using K mean cluster algorithm；Based on similarity to multiple
Sample instance is classified, at least one sample instance set is obtained.
Further, the first depth factor and the first breadth index of each sample instance are obtained, comprising: obtain each sample
Second total dosage of the total dosage of the first of this example and the affiliated sample instance set of each sample instance；Obtain each sample
The frequency of occurrence and project total quantity of example in the project；Based on first total dosage and second total dosage, the first depth is obtained
Index；The ratio between frequency of occurrence and project total quantity are obtained, the first breadth index is obtained.
Further, the first depth factor of all sample instances for including based on each sample instance set and first is extensively
Index is spent, obtains the second depth factor and the second breadth index of each sample instance set, comprising: obtain all sample instances
The sum of the first depth factor, obtain the second depth factor；Obtain maximum the in the first breadth index of all sample instances
One breadth index obtains the second breadth index.
Further, the second depth factor and the second breadth index based at least one sample instance set, are led to
Expenditure, comprising: obtain the second depth factor of maximum in the second depth factor of at least one sample instance set, obtain third
Depth factor；The second breadth index of maximum in the second breadth index of at least one sample instance set is obtained, third is obtained
Breadth index；The average value for obtaining third depth factor and third breadth index, obtains general geological coodinate system.
Further, it is based on module index of variability, spread index and general geological coodinate system, obtains the module type of module to be identified,
Include: to be compared module index of variability with first threshold, spread index is compared with second threshold, and by general geological coodinate system
It is compared with third threshold value, obtains comparison result；Based on comparative result, module type is obtained.
According to another aspect of an embodiment of the present invention, a kind of identification device of module type is additionally provided, comprising: obtain mould
Block, for obtaining the requirements set and module to be identified of bogie；First processing module, for based on requirements set and to be identified
Module obtains the general geological coodinate system of module index of variability, the spread index of module to be identified and module to be identified；Second processing module,
For being based on module index of variability, spread index and general geological coodinate system, the module type of module to be identified is obtained.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, storage medium includes the journey of storage
Sequence, wherein equipment where control storage medium executes the recognition methods of above-mentioned module type in program operation.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, processor is used to run program,
In, program executes the recognition methods of above-mentioned module type when running.
In embodiments of the present invention, it after the requirements set and module to be identified for getting bogie, can be based on needing
Set and module to be identified are asked, the general geological coodinate system of module index of variability, the spread index of module to be identified and module to be identified is obtained,
And it is based further on module index of variability, spread index and general geological coodinate system, obtain the module type of module to be identified.With the prior art
It compares, in module type identification process, comprehensively considers module index of variability, spread index and general geological coodinate system and identify basic mould
Block, configurable module and parameterized module, so that the design of metro bogie can sufficiently reuse the prior art money of enterprise
Source, and can guarantee product to the quick response of customer demand, to preferably meet customer need, it helps improve research and development effect
Rate and quality, saving are exploited natural resources, and then the recognition methods for solving module type in the related technology changes customer demand
The technical issues of response is insufficient and the higher cost of module design.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the recognition methods of module type according to an embodiment of the present invention；
Fig. 2 is a kind of optional demand-technical indicator correlation matrix figure according to an embodiment of the present invention；And
Fig. 3 is a kind of schematic diagram of the identification device of module type according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of the recognition methods of module type is provided, it should be noted that
The step of process of attached drawing illustrates can execute in a computer system such as a set of computer executable instructions, also,
It, in some cases, can be to be different from shown in sequence execution herein although logical order is shown in flow charts
The step of out or describing.
Fig. 1 is a kind of flow chart of the recognition methods of module type according to an embodiment of the present invention, as shown in Figure 1, the party
Method includes the following steps:
Step S102 obtains the requirements set and module to be identified of bogie.
Specifically, above-mentioned module to be identified can be metro bogie module, specifically include: suspension module (m1) is led
Draw module (m2), wheel to module (m3), crossbeam module (m4), drive module (m5), brake module (m6), air spring module
(m7), curb girder module (m8).But it is not limited only to this.
In a kind of optional scheme, can have project bid condition book by analysis subway train, acquire bogie
Demand simultaneously classifies to it, obtains requirements set { CR1, CR2..., CRm}。
Step S104, is based on requirements set and module to be identified, and the propagation for obtaining module index of variability, module to be identified refers to
Several and module to be identified general geological coodinate system.
It in a kind of optional scheme, can analyze the mapping relations between demand and module, obtain module index of variability
VI, change on the basis of analyzing the mapping relations between demand and module, between further quantitative analysis module and module
Relationship is more influenced, the spread index CPI of module is obtained；Analysis module example calculation module general geological coodinate system f (M).
Step S106 is based on module index of variability, spread index and general geological coodinate system, obtains the module type of module to be identified.
Specifically, above-mentioned module type may include: basic module, configuration module, parameterized module, personality module,
Wherein, basic module is shared by all products in product family, only one predefined module instance；Configuration module is by product
All products in race are shared, have multiple predefined examples, and each derivative product variant selects a module instance；Parameter
Change module to be shared by all products in product family, the parametrization structural model with an adaptability modification；Personality module
It is shared by the portioned product in product family, not predefined example, needs to be redesigned according to the individual demand of client.
In a kind of optional scheme, module index of variability VI, spread index CPI and general geological coodinate system f can be comprehensively considered
(M) three indexs carry out analysis identification to module type, identify module type.Wherein, for basic module: VI is smaller,
CPI is positive, and f (M) is larger.The general geological coodinate system in existing project example of module at this time is higher, and variant is less；Module is by customized demand
Influence is smaller, does not change generally, but it will produce bigger effect other modules once changing.Therefore, it is suggested that being consolidated
Turn to basic module.
For configuration module: VI is larger, and CPI is positive, and f (M) is smaller.The general geological coodinate system in existing project example of module at this time
Lower, variant is more；Module is affected by customized demand, can generally be changed, and is changed and can be generated to other modules
Larger impact.Therefore, it is suggested that Research Requirements variation to it, it change to the affecting laws of other modules, it is configurable by designing
The demand of module customer in response variation, so that influence of its change to other modules is controllable.
For parameterized module: VI is larger, and CPI is negative, and f (M) is smaller.Module at this time is general in existing project example
Spend lower, variant is more；Module is affected by customized demand, can generally be changed, but change on other modules influence compared with
It is small, it is affected instead by remaining module change.Therefore, it is suggested that Research Requirements variation to it, remaining module change to it
Affecting laws design the parameterized module dynamic response of adaptability modification by solidifying influence of remaining module change to it
The performance requirement of client's variation.
Above-described embodiment through the invention can be with base after the requirements set and module to be identified for getting bogie
In requirements set and module to be identified, the logical of module index of variability, the spread index of module to be identified and module to be identified is obtained
Expenditure, and it is based further on module index of variability, spread index and general geological coodinate system, obtain the module type of module to be identified.With it is existing
There is technology to compare, in module type identification process, comprehensively considers module index of variability, spread index and general geological coodinate system and identify
Basic module, configurable module and parameterized module, so that the design of metro bogie can sufficiently reuse the existing of enterprise
Technical resource, and can guarantee product to the quick response of customer demand, to preferably meet customer need, it helps it improves
Efficiency of research and development and quality, saving are exploited natural resources, and then the recognition methods for solving module type in the related technology needs client
The technical issues of asking insufficient variation response and the higher cost of module design.
Optionally, in the above embodiment of the present invention, it is based on requirements set and module to be identified, module variation is obtained and refers to
Number, comprising: classify to each demand in requirements set, obtain the demand type of each demand, wherein demand type packet
It includes one of following: general requirment, adaptability demand and individual needs；Based on the mapping between adaptability demand and module to be identified
Relationship obtains module index of variability.
In a kind of optional scheme, after obtaining requirements set, can the design experiences based on engineer to client
Demand is classified, and demand is subdivided into general requirment, adaptability demand and individual needs, as shown in table 1 below.General requirment table
Show that in family's product, attribute is identical, the identical demand of level value；Adaptability requirement representation attribute in family's product is identical, water
The different demand of level values；Individual needs indicate the demand that attribute is different in family's product, level value is different, are the individual characteies of client
Change " sound ".Wherein, general requirment is responded by basic module, and individual demand is responded by personality module, and adaptability needs
Ask complex with the mapping relations of module, it can not only be responded by configuration module with parameterized module, can also be by base
This module changes lesser adaptability demand to respond.
Table 1
| Requirement item title | Parameter value range | Demand type |
| Overall trip speed (km/h) | 80、100、120… | Adaptability demand |
| Axis weight (t) | 16、17 | Adaptability demand |
| … | … | … |
| Safety | 95J01-M | General requirment |
| Comfort | GB5599-1985 | General requirment |
| Gauge (mm) | 1435 | General requirment |
Basic module is mainly influenced by general requirment, and (such relationship is a kind of relatively simple direct mapping relations, originally
This is not described in detail in invention), also influenced by adaptability demand, and configuration module and parameterized module are mainly by adaptability
The influence of demand.Therefore, the mapping relations between selective analysis adaptability demand and module of the present invention, obtain module index of variability
VI, so that adaptability demand mapped basic module, configuration module and parameterized module be recognized accurately.
Optionally, in the above embodiment of the present invention, based on the mapping relations between adaptability demand and module to be identified,
Obtain module index of variability, comprising: be based on adaptability demand and module to be identified, determine technical indicator；Based on adaptability demand
Influence intensity to technical indicator, obtains the first correlation matrix；The influence intensity that identification module is treated based on technical indicator, is obtained
To the second correlation matrix；Based on the first correlation matrix and the second correlation matrix, module index of variability is obtained.
In a kind of optional scheme, due to the crucial adaptability demand that overall trip speed and axis weight are Bogie Designs,
There is different in disparity items, therefore index mapping is carried out to it, construct demand-technical indicator correlation matrix (i.e.
The first above-mentioned correlation matrix), as shown in Figure 2.First correlation matrixWherein, rij(i
=1,2 ..., m；J=1,2 ..., n) indicate influence intensity of i-th demand to jth item technical indicator, strength definition are as follows: it closes
Connection strong -9, association larger -7, association medium -5 are associated with smaller by -3, onrelevant -0, as shown in Fig. 2, solid circles table is used by force in association
Show, association is larger to be identified with empty circles, and association is medium to be indicated with square, and association is smaller to be indicated with triangle, and onrelevant is then empty.
Establishing techniques index-module correlation matrix (the second i.e. above-mentioned correlation matrix), the second correlation matrixWherein, bij (i=1,2 ..., n；J=1,2 ..., l) indicate i-th technical indicator to jth
The influence intensity of a module, strength definition are as follows: association strong -9, association larger -7, association medium -5, association is smaller by -3, unrelated
Connection -0.
It is based further on the first correlation matrix R and the second correlation matrix B, obtains module index of variability VIj。
Optionally, in the above embodiment of the present invention, it is based on the first correlation matrix and the second correlation matrix, obtains mould
Block index of variability, comprising: the first correlation matrix is normalized, normalization matrix is obtained；Based on normalization matrix
With corresponding demand weight, the index weights of technical indicator are obtained, wherein demand weight is obtained using analytic hierarchy process (AHP)；
Based on index weights and the second correlation matrix, module index of variability is obtained.
In a kind of optional scheme, the first correlation matrix R and the second correlation matrix B as shown in Figure 2 is being obtained
Later, R can be normalized, obtains normalization matrix R ', calculation formula is as follows:
To technical indicator j by the index weights r of the technical indicator of factors influencing demandjIt is calculated, calculation formula are as follows:
Wherein, ωiFor demand weight, andIt is obtained using analytic hierarchy process (AHP).
The module index of variability VI that module j is influenced by technical indicatorjIt is calculated, calculation formula are as follows:
With reference to the accompanying drawings 2, module index of variability VI is calculated, the results are shown in Table 2:
Table 2
Optionally, in the above embodiment of the present invention, it is based on requirements set and module to be identified, obtains module to be identified
Spread index, comprising: based on the change disturbance degree between module to be identified, obtain third correlation matrix；Based on third correlation
Property matrix, obtain module and issue spread index and module absorbing spread index；It obtains module and issues spread index and module absorption
The difference of spread index obtains the spread index of module to be identified.
Optionally, change disturbance degree includes: structure disturbance degree, interface disturbance degree, Effect of Materials degree and performance disturbance degree.
In a kind of optional scheme, module will carry out adaptive change in response to client's adaptability demand, and these
Adaptive change will cause the change propagation between module.Therefore, judge the type of a module also need analysis module it
Between change influence relationship, the change influence factor between module includes: structure, interface, material, performance.
Establish the propagation effect correlation matrix (i.e. above-mentioned third correlation matrix) between module and module, third phase
Closing property matrixWherein propagation shadow of pij (i, j=1,2 ..., l) the representation module i to module j
Loudness.Spread index P is issued to modulej inIt is calculated, calculation formula are as follows:Spread index is absorbed to module
Pj inIt is calculated, calculation formula are as follows:To module synthesis spread index CPIiIt is calculated, calculation formula are as follows:
Change shadow on the basis of mapping relations between above-mentioned analysis demand and module, between further analysis module
The relationship of sound constructs bogie intermodule propagation effect correlation matrix, and the results are shown in Table 3:
Table 3
Optionally, in the above embodiment of the present invention, based on the change disturbance degree between module to be identified, third phase is obtained
Closing property matrix, comprising: the weighted sum for obtaining the change disturbance degree between module to be identified obtains third correlation matrix.
In a kind of optional scheme, pijCalculation formula are as follows:
pij=WS×PSij+WI×PIij+WM×PMij+WP×PPij,
Wherein, WS、WI、WM、WPRespectively indicate structure, interface, material, performance change weighing factor, and WS+WI+WM+WP=
1, it is obtained by analytic hierarchy process (AHP), PSij、PIij、PMij、PPijModule i is respectively indicated to change the structure disturbance degree to module j, connect
Mouth disturbance degree, Effect of Materials degree, performance disturbance degree.
Optionally, in the above embodiment of the present invention, it is based on requirements set and module to be identified, obtains module to be identified
General geological coodinate system, comprising: obtain multiple sample instances that module to be identified includes；Classify to multiple sample instances, obtains at least
One sample instance set, wherein each sample instance set includes: at least one sample instance；Obtain each sample instance
The first depth factor and the first breadth index；The first depth based on all sample instances that each sample instance set includes
Index and the first breadth index obtain the second depth factor and the second breadth index of each sample instance set；Based at least
The second depth factor and the second breadth index of one sample instance set, obtain general geological coodinate system.
In a kind of optional scheme, the general geological coodinate system of module is to assess the module to be adopted in its product family by n kind product
Specific gravity is mainly shown as: total dosage of module, also referred to as depth factor；Using the product number of module, also referred to as range refers to
Number.
Assuming that module M to be analyzed has m sample instance, element set is { c1,c2,…,cm}.M sample instance is drawn
It is divided into j class (i.e. above-mentioned sample instance set) (j≤m), M={ M1,M2,…,Mj}.G generic module (g≤j) MgIncluding k
Example (k≤m), Mg={ c1,c2,…,ck}。
It can be to the depth factor of g class (g≤j) h-th of module (h≤k) module instance(i.e. above-mentioned first
Depth factor) and breadth index(the second i.e. above-mentioned breadth index) is calculated, and g generic module is further obtained
The general geological coodinate system of h module instanceCalculation formula are as follows:
On the basis of generic module example general geological coodinate system, to the depth factor f of g generic module Mg1(Mg) (i.e. above-mentioned second
Depth factor) and breadth index f2(Mg) (the second i.e. above-mentioned breadth index) calculated, further obtain g generic module Mg
General geological coodinate system f (Mg), calculation formula are as follows:
On the basis of module class general geological coodinate system, the general geological coodinate system f (M) for treating analysis module M is calculated.
For example, collecting Shanghai Metro Line No. 2, No. 11 lines, No. 16 lines, No. 5 lines of Shenzhen Metro, No. 11 lines, Guangzhou Underground 13
The A type metro bogie instance datas such as number line calculate according to above-mentioned formula and turn to frame module general geological coodinate system, calculated result such as 4 institute of table
Show:
Table 4
Optionally, in the above embodiment of the present invention, classify to multiple sample instances, obtain at least one sample reality
Example set, comprising: obtain the characteristic parameter of module to be identified；It is obtained using K mean cluster algorithm similar between characteristic parameter
Degree；Classified based on similarity to multiple sample instances, obtains at least one sample instance set.
In a kind of optional scheme, the characteristic parameter based on module is calculated between characteristic parameter using K mean cluster
M module instance is divided into j class by similarity.
Optionally, in the above embodiment of the present invention, the first depth factor and the first range of each sample instance are obtained
Index, comprising: obtain each sample instance first total dosage and the affiliated sample instance set of each sample instance second
Total dosage；Obtain the frequency of occurrence and project total quantity of each sample instance in the project；Based on first total dosage and second
Total dosage obtains the first depth factor；The ratio between frequency of occurrence and project total quantity are obtained, the first breadth index is obtained.
In a kind of optional scheme,WithCalculation formula it is as follows:
Wherein,For total dosage (the total dosage of i.e. above-mentioned first) of h-th of module instance in g generic module；J is module
Cluster sum；size(Mg) indicate g generic module total dosage (the total dosage of i.e. above-mentioned second),It can be considered as
Total dosage of module M to be analyzed；Whether appeared in existing project i for h-th of module instance in g generic module, if gone out
It is existing,OtherwiseThenFrequency of occurrence of h-th of module instance in existing project can be considered as；N is product
Has project total quantity in race.
Optionally, in the above embodiment of the present invention, all sample instances for including based on each sample instance set
First depth factor and the first breadth index obtain the second depth factor and the second breadth index of each sample instance set,
Include: the sum of the first depth factor for obtaining all sample instances, obtains the second depth factor；Obtain the of all sample instances
The first breadth index of maximum in one breadth index, obtains the second breadth index.
In a kind of optional scheme, f1(Mg) and f2(Mg) calculation formula it is as follows:
Optionally, in the above embodiment of the present invention, the second depth factor based at least one sample instance set and
Second breadth index, obtains general geological coodinate system, comprising: obtains maximum the in the second depth factor of at least one sample instance set
Two depth factors obtain third depth factor；Obtain maximum the in the second breadth index of at least one sample instance set
Two breadth indexs obtain third breadth index；The average value for obtaining third depth factor and third breadth index, obtains general
Degree.
In a kind of optional scheme, above-mentioned third depth factor can be the depth factor f of module to be analyzed1(M),
Third breadth index can be the breadth index f of module to be analyzed2(M)。
In a kind of optional scheme, the calculation formula of general geological coodinate system f (M) are as follows:
Wherein,
Optionally, in the above embodiment of the present invention, be based on module index of variability, spread index and general geological coodinate system, obtain to
The module type of identification module, comprising: be compared module index of variability with first threshold, by spread index and second threshold
It is compared, and general geological coodinate system is compared with third threshold value, obtain comparison result；Based on comparative result, module type is obtained.
Specifically, above-mentioned first threshold, second threshold and third threshold value can be determined by experiment, thus to module class
Type is identified, for example, first threshold is 035, second threshold 0, third threshold value is 0.6.
In a kind of optional scheme, with module index of variability VI=0.35, spread index CPI=0, general geological coodinate system f (M)=
0.6 is used as threshold value, identifies that recognition result is as shown in table 5 to the affiliated type of module:
Table 5
| Serial number | Module type | Module title |
| 1 | Basic module | Traction module, curb girder module, crossbeam module and air spring module |
| 2 | Configuration module | Drive module, suspension module, brake module |
| 3 | Parameterized module | Wheel is to module |
Embodiment 2
According to embodiments of the present invention, a kind of embodiment of the identification device of module type is provided.
Fig. 3 is a kind of schematic diagram of the identification device of module type according to an embodiment of the present invention, as shown in figure 3, the dress
It sets and includes:
Module 32 is obtained, for obtaining the requirements set and module to be identified of bogie.
Specifically, above-mentioned module to be identified can be metro bogie module, specifically include: suspension module (m1) is led
Draw module (m2), wheel to module (m3), crossbeam module (m4), drive module (m5), brake module (m6), air spring module
(m7), curb girder module (m8).But it is not limited only to this.
In a kind of optional scheme, can have project bid condition book by analysis subway train, acquire bogie
Demand simultaneously classifies to it, obtains requirements set { CR1, CR2..., CRm}。
First processing module 34 obtains module index of variability, mould to be identified for being based on requirements set and module to be identified
The general geological coodinate system of the spread index of block and module to be identified.
It in a kind of optional scheme, can analyze the mapping relations between demand and module, obtain module index of variability
VI, change on the basis of analyzing the mapping relations between demand and module, between further quantitative analysis module and module
Relationship is more influenced, the spread index CPI of module is obtained；Analysis module example calculation module general geological coodinate system f (M).
Second processing module 36 obtains module to be identified for being based on module index of variability, spread index and general geological coodinate system
Module type.
Specifically, above-mentioned module type may include: basic module, configuration module, parameterized module, personality module,
Wherein, basic module is shared by all products in product family, only one predefined module instance；Configuration module is by product
All products in race are shared, have multiple predefined examples, and each derivative product variant selects a module instance；Parameter
Change module to be shared by all products in product family, the parametrization structural model with an adaptability modification；Personality module
It is shared by the portioned product in product family, not predefined example, needs to be redesigned according to the individual demand of client.
In a kind of optional scheme, module index of variability VI, spread index CPI and general geological coodinate system f can be comprehensively considered
(M) three indexs carry out analysis identification to module type, identify module type.Wherein, for basic module: VI is smaller,
CPI is positive, and f (M) is larger.The general geological coodinate system in existing project example of module at this time is higher, and variant is less；Module is by customized demand
Influence is smaller, does not change generally, but it will produce bigger effect other modules once changing.Therefore, it is suggested that being consolidated
Turn to basic module.
For configuration module: VI is larger, and CPI is positive, and f (M) is smaller.The general geological coodinate system in existing project example of module at this time
Lower, variant is more；Module is affected by customized demand, can generally be changed, and is changed and can be generated to other modules
Larger impact.Therefore, it is suggested that Research Requirements variation to it, it change to the affecting laws of other modules, it is configurable by designing
The demand of module customer in response variation, so that influence of its change to other modules is controllable.
For parameterized module: VI is larger, and CPI is negative, and f (M) is smaller.Module at this time is general in existing project example
Spend lower, variant is more；Module is affected by customized demand, can generally be changed, but change on other modules influence compared with
It is small, it is affected instead by remaining module change.Therefore, it is suggested that Research Requirements variation to it, remaining module change to it
Affecting laws design the parameterized module dynamic response of adaptability modification by solidifying influence of remaining module change to it
The performance requirement of client's variation.
Above-described embodiment through the invention can be with base after the requirements set and module to be identified for getting bogie
In requirements set and module to be identified, the logical of module index of variability, the spread index of module to be identified and module to be identified is obtained
Expenditure, and it is based further on module index of variability, spread index and general geological coodinate system, obtain the module type of module to be identified.With it is existing
There is technology to compare, in module type identification process, comprehensively considers module index of variability, spread index and general geological coodinate system and identify
Basic module, configurable module and parameterized module, so that the design of metro bogie can sufficiently reuse the existing of enterprise
Technical resource, and can guarantee product to the quick response of customer demand, to preferably meet customer need, it helps it improves
Efficiency of research and development and quality, saving are exploited natural resources, and then the recognition methods for solving module type in the related technology needs client
The technical issues of asking insufficient variation response and the higher cost of module design.
Optionally, in the above embodiment of the present invention, first processing module includes: the first classification submodule, for need
It asks each demand in set to classify, obtains the demand type of each demand, wherein demand type includes one of following:
General requirment, adaptability demand and individual needs；First processing submodule, for based on adaptability demand and module to be identified it
Between mapping relations, obtain module index of variability.
Optionally, in the above embodiment of the present invention, the first processing submodule comprises determining that unit, for based on adaptation
Property demand and module to be identified, determine technical indicator；First processing units, for the shadow based on adaptability demand to technical indicator
Intensity is rung, the first correlation matrix is obtained；The second processing unit, the influence for treating identification module based on technical indicator are strong
Degree, obtains the second correlation matrix；Third processing unit is obtained for being based on the first correlation matrix and the second correlation matrix
To module index of variability.
Optionally, in the above embodiment of the present invention, third processing unit includes: normalization subelement, for first
Correlation matrix is normalized, and obtains normalization matrix；First processing subelement, for based on normalization matrix and right
The demand weight answered, obtains the index weights of technical indicator, wherein demand weight is obtained using analytic hierarchy process (AHP)；Second
Subelement is handled, for being based on index weights and the second correlation matrix, obtains module index of variability.
Optionally, in the above embodiment of the present invention, first processing module includes: second processing submodule, for being based on
Change disturbance degree between module to be identified, obtains third correlation matrix；Third handles submodule, for related based on third
Property matrix, obtain module and issue spread index and module absorbing spread index；First acquisition submodule is issued for obtaining module
Spread index and module absorb the difference of spread index, obtain the spread index of module to be identified.
Optionally, change disturbance degree includes: structure disturbance degree, interface disturbance degree, Effect of Materials degree and performance disturbance degree.
Optionally, in the above embodiment of the present invention, second processing submodule is also used to obtain between module to be identified
The weighted sum for changing disturbance degree, obtains third correlation matrix.
Optionally, in the above embodiment of the present invention, first processing module includes: the second acquisition submodule, for obtaining
Multiple sample instances that module to be identified includes；Second classification submodule, for classifying to multiple sample instances, obtain to
A few sample instance set, wherein each sample instance set includes: at least one sample instance；Third acquisition submodule,
For obtaining the first depth factor and the first breadth index of each sample instance；Fourth process submodule, for based on each
The first depth factor and the first breadth index for all sample instances that sample instance set includes, obtain each sample instance collection
The second depth factor and the second breadth index closed；5th processing submodule, for based at least one sample instance set
Second depth factor and the second breadth index, obtain general geological coodinate system.
Optionally, in the above embodiment of the present invention, the second classification submodule includes: first acquisition unit, for obtaining
The characteristic parameter of module to be identified；Second acquisition unit, it is similar between characteristic parameter for being obtained using K mean cluster algorithm
Degree；Taxon obtains at least one sample instance set for classifying based on similarity to multiple sample instances.
Optionally, in the above embodiment of the present invention, third acquisition submodule includes: third acquiring unit, for obtaining
Second total dosage of the total dosage of the first of each sample instance and the affiliated sample instance set of each sample instance；4th obtains
Unit is taken, for obtaining the frequency of occurrence and project total quantity of each sample instance in the project；Fourth processing unit is used
In being based on first total dosage and second total dosage, the first depth factor is obtained；5th acquiring unit, for obtain frequency of occurrence with
The ratio between project total quantity obtains the first breadth index.
Optionally, in the above embodiment of the present invention, fourth process submodule includes: the 6th acquiring unit, for obtaining
The sum of first depth factor of all sample instances obtains the second depth factor；7th acquiring unit, for obtaining all samples
The first breadth index of maximum in first breadth index of example, obtains the second breadth index.
Optionally, in the above embodiment of the present invention, the 5th processing submodule includes: the 8th acquiring unit, for obtaining
The second depth factor of maximum in second depth factor of at least one sample instance set, obtains third depth factor；9th
Acquiring unit, the second breadth index of maximum in the second breadth index for obtaining at least one sample instance set, obtains
Third breadth index；Tenth acquiring unit obtains general for obtaining the average value of third depth factor and third breadth index
Degree.
Optionally, in the above embodiment of the present invention, Second processing module includes: Comparative sub-module, for becoming module
Different index is compared with first threshold, and spread index is compared with second threshold, and by general geological coodinate system and third threshold value into
Row compares, and obtains comparison result；6th processing submodule, for based on comparative result, obtaining module type.
Embodiment 3
According to embodiments of the present invention, a kind of embodiment of storage medium is provided, storage medium includes the program of storage,
In, in program operation, equipment where control storage medium executes the recognition methods of the module type in above-described embodiment 1.
Embodiment 4
According to embodiments of the present invention, a kind of embodiment of processor is provided, processor is for running program, wherein journey
The recognition methods of the module type in above-described embodiment 1 is executed when sort run.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (16)
1. a kind of recognition methods of module type characterized by comprising
Obtain the requirements set and module to be identified of bogie；
Based on the requirements set and the module to be identified, the propagation for obtaining module index of variability, the module to be identified refers to
Several and the module to be identified general geological coodinate system；
Based on the module index of variability, the spread index and the general geological coodinate system, the module class of the module to be identified is obtained
Type.
2. being obtained the method according to claim 1, wherein being based on the requirements set and the module to be identified
To module index of variability, comprising:
Classify to each demand in the requirements set, obtains the demand type of each demand, wherein the need
It includes one of following for seeking type: general requirment, adaptability demand and individual needs；
Based on the mapping relations between adaptability demand and the module to be identified, the module index of variability is obtained.
3. according to the method described in claim 2, it is characterized in that, based between adaptability demand and the module to be identified
Mapping relations obtain the module index of variability, comprising:
Based on the adaptability demand and the module to be identified, technical indicator is determined；
Influence intensity based on the adaptability demand to the technical indicator, obtains the first correlation matrix；
Based on the technical indicator to the influence intensity of the module to be identified, the second correlation matrix is obtained；
Based on first correlation matrix and second correlation matrix, the module index of variability is obtained.
4. according to the method described in claim 3, it is characterized in that, related to described second based on first correlation matrix
Property matrix, obtains the module index of variability, comprising:
First correlation matrix is normalized, normalization matrix is obtained；
Based on the normalization matrix and corresponding demand weight, the index weights of the technical indicator are obtained, wherein the need
Weight is asked to obtain using analytic hierarchy process (AHP)；
Based on the index weights and the second correlation matrix, the module index of variability is obtained.
5. being obtained the method according to claim 1, wherein being based on the requirements set and the module to be identified
To the spread index of the module to be identified, comprising:
Based on the change disturbance degree between the module to be identified, third correlation matrix is obtained；
Based on the third correlation matrix, obtains module and issue spread index and module absorption spread index；
The difference that the module issues spread index and the module absorbs spread index is obtained, the biography of the module to be identified is obtained
Broadcast index.
6. according to the method described in claim 5, it is characterized in that, based on the change disturbance degree between the module to be identified,
Obtain third correlation matrix, comprising:
The weighted sum for obtaining the change disturbance degree between the module to be identified, obtains the third correlation matrix.
7. according to the method described in claim 5, it is characterized in that, the change disturbance degree includes: structure disturbance degree, interface shadow
Loudness, Effect of Materials degree and performance disturbance degree.
8. being obtained the method according to claim 1, wherein being based on the requirements set and the module to be identified
To the general geological coodinate system of the module to be identified, comprising:
Obtain multiple sample instances that the module to be identified includes；
Classify to the multiple sample instance, obtain at least one sample instance set, wherein each sample instance set
It include: at least one sample instance；
Obtain the first depth factor and the first breadth index of each sample instance；
The first depth factor and the first breadth index based on all sample instances that each sample instance set includes, obtain institute
State the second depth factor and the second breadth index of each sample instance set；
The second depth factor and the second breadth index based at least one sample instance set, obtain the general geological coodinate system.
9. according to the method described in claim 8, obtaining at least it is characterized in that, classify to the multiple sample instance
One sample instance set, comprising:
Obtain the characteristic parameter of the module to be identified；
The similarity between characteristic parameter is obtained using K mean cluster algorithm；
Classified based on the similarity to the multiple sample instance, obtains at least one described sample instance set.
10. according to the method described in claim 8, it is characterized in that, obtaining the first depth factor and of each sample instance
One breadth index, comprising:
Obtain each sample instance first total dosage and the affiliated sample instance set of each sample instance
Two total dosages；
Obtain the frequency of occurrence and project total quantity of each sample instance in the project；
Based on described first total dosage and second total dosage, first depth factor is obtained；
The ratio between the frequency of occurrence and the project total quantity are obtained, first breadth index is obtained.
11. according to the method described in claim 8, it is characterized in that, all samples for including based on each sample instance set
The first depth factor and the first breadth index of example obtain the second depth factor and second of each sample instance set
Breadth index, comprising:
The sum of the first depth factor for obtaining all sample instances, obtains second depth factor；
The first breadth index of maximum in the first breadth index of all sample instances is obtained, second breadth index is obtained.
12. according to the method described in claim 8, it is characterized in that, based at least one sample instance set second
Depth factor and the second breadth index, obtain the general geological coodinate system, comprising:
The second depth factor of maximum in the second depth factor of at least one sample instance set is obtained, third depth is obtained
Spend index；
The second breadth index of maximum in the second breadth index of at least one sample instance set is obtained, it is wide to obtain third
Spend index；
The average value for obtaining the third depth factor and the third breadth index, obtains the general geological coodinate system.
13. the method according to claim 1, wherein based on the module index of variability, the spread index and
The general geological coodinate system obtains the module type of the module to be identified, comprising:
The module index of variability is compared with first threshold, the spread index is compared with second threshold, and
The general geological coodinate system is compared with third threshold value, obtains comparison result；
Based on the comparison as a result, obtaining the module type.
14. a kind of identification device of module type characterized by comprising
Module is obtained, for obtaining the requirements set and module to be identified of bogie；
First processing module, for be based on the requirements set and the module to be identified, obtain module index of variability, it is described to
The general geological coodinate system of the spread index of identification module and the module to be identified；
Second processing module, for being based on the module index of variability, the spread index and the general geological coodinate system, obtain it is described to
The module type of identification module.
15. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 13 described in module type identification side
Method.
16. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 13 described in module type recognition methods.
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