CN1790351A - Product concept design method based on extension information matter-element - Google Patents

Product concept design method based on extension information matter-element Download PDF

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CN1790351A
CN1790351A CN 200510062040 CN200510062040A CN1790351A CN 1790351 A CN1790351 A CN 1790351A CN 200510062040 CN200510062040 CN 200510062040 CN 200510062040 A CN200510062040 A CN 200510062040A CN 1790351 A CN1790351 A CN 1790351A
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matter
product
information
extension information
rule
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CN100356378C (en
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赵燕伟
苏楠
周鹏
唐辉军
吴杰雨
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Zhejiang University of Technology ZJUT
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Zhejiang University of Technology ZJUT
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Abstract

The invention discloses a production concept design method based on extendable information element in the production concept design domain, which comprises the following steps: displaying the user design demand at information element pattern; inputting certain information element directly for user or extracting from the information database; satisfying the cognition thinking; establishing the limit regular base and example base among the extendable elements; extracting the limits automatically in the regular base by system; activating the relative element automatically; modifying the program in the extendable example base to form the satisfied design program. The invention displays good flexibility, rational mapping method, strong evolution ability and high inference efficiency.

Description

Product Conceptual Design method based on the extension information matter-element
(1) technical field
The present invention relates to a kind of conceptual design method of product, especially a kind of Product Conceptual Design method based on the extension information matter-element.
(2) background technology
The key link that product design is produced as modern industry is occupied extremely important position in the whole life of product, it has fundamentally determined the inward nature of product, and the quality of product and cost.70% of cost of products was determined by the design phase.Design also will be followed human development as a kind of innovation activity and develop, and obtain increasing designer's approval, and from the height of theory it proved, and in nearest 40 or five ten years, produce a collection of new method for designing that differs from one another.
Along with people to going deep into that product design essence is understood, in the later stage nineties, perfect at sense of reality demonstration, multimedia, virtual reality and cad technique formed the common recognition that product design divides conceptual design and two stages of detailed design gradually.And recognize that in 21 century along with the essence of the manufacturing mode of product changes, conceptual design and detailed design will walk abreast.American National fund 06 sponsor to one of be exactly the forecasting problem of model in product design early stage because the success or not of modeling in early stage directly affects the realization of later stage product.
By comparison to domestic and international existing conceptual design system, mainly analyzed the technology of the aspects such as modeling, information representation and scheme reasoning of conceptual design, there are following five deficiencies in discovery: (1) modeling framework lacks flexible, lack effective feedback between each design level is inferior, be difficult to exchange information, coordinate conflict; (2) lack unified inherited information expression model and support the effective expression of various product information and the integrated and mapping between them; (3) present model lacks the method for effective generation scheme to the developmental capacity deficiency of complex product, promptly lacks the mapping inference method of product function to structure; (4) present conceptual design System and method for innovation ability deficiency lacks the expression and the operation model that meet deviser's thinking habit, can not give full play to deviser's wisdom and creativeness; (5) the seamless integrated of conceptual design and follow-up structural design, detailed design, technological design of still being unrealized.
Case illation technology (Case based reasoning) is experience and the method before a kind of usefulness, solves the solution strategies of current similar problem by analogy and association.Existing C BR method for designing has: 1, at the deisgn product example, as the BASCON-IV of Ship Conceptual Design system of Dongkon Lee exploitation; 2, at the design process example, as the BOGART system of exploitations such as Mostow; 3, at the example that designs a model, the model instance that SBF (structure-behavior-function) model instance that uses in Kritik as Goel and Song Yuyin are set up by designing requirement and product feature." bottleneck " problem that CBR faces is to need the support of good in a large number design example could finish reasoning effectively.
(3) summary of the invention
For the modeling framework that overcomes the existing products conceptual design method lack flexible, lack product function to the mapping inference method of structure, the deficiency low to developmental capacity deficiency, the Reasoning Efficiency of complex product, the invention provides a kind of modeling framework and have good flexibility, have the product design method based on extension information matter-element that mapping inference method, developmental capacity strong, Reasoning Efficiency high of product function to structure.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of product design method based on the extension information matter-element, this method mainly may further comprise the steps: (1), user's product design required to be expressed as the form of extension information matter-element, set up matter-element model R=(N, c, ν), described matter-element model comprises three base attributes that constitute product: name N, feature c and value ν;
(2), set up the product rule base, described product rule base comprises each other matter-element relation of extension information matter-element, the rule of correspondence of matter-element relation is explained;
(3), the use drafting instrument is developed on the graphics software platform, sets up the case library of product.On the UG platform, used Delphi 5.0 and DataBase Desktop instrument to develop Visual LISP, DCL among (speed reduction unit) or the AutoCAD2000, ObjectARX3.0 and visual c++ 6.0 (tool magazine) is developed the case library of setting up product on the platform;
(4), the extension information matter-element directly is associated with case library, constitute the structure of a network-type: M=[R, L, σ, ρ, P],
Wherein, R is the set of limited extension information matter-element, and L is the set of limited example node, and σ is the similar function of extension information matter-element: σ=R i* R j→ F σ, F σSimilar value between the expression information matter element; ρ is the related function ρ of information matter element and example: R n* L → F ρ, extension information matter-element R is described nCorrelativity ρ (R with example node L n, L), F ρRepresent satisfactory correlation; P is the propagator R of similar value and correlation n: F σ* F ρ→ F P, for each node n ∈ R ∪ L, F PTotal activation amount of accepting for node n;
(5), each matter-element is simplified, the rule of its simplification is:
The following information matter element of one deck directly risen to case library is connected, give between each subordinate's matter-element and the higher level's matter-element and give a correlation, the company by correlation takes advantage of the realization equivalence;
According to the restriction relation of product inside, will there be another matter-element omission of restriction relation or dwindle its span with a certain matter-element;
(6), determine that matter-element relation exists qualitative relationships and quantitative relationship, set up the matter-element the opened up relationship degree between information matter element and the example, according to described relationship degree, set up the matter-element relational matrix, obtain each extension information matter-element R nCorrelation ρ (R with example node L n, L); The matter-element calculating formula of similarity is (1):
σ ( R i , R j ) = min ( v R i , v R j ) max ( v R i , v R j ) - - - ( 1 ) ;
In the following formula, σ (R i, R j) expression information matter element R iWith example corresponding informance matter-element R jBetween similarity, ν RiRepresent each the information matter element R in the scheme to be designed iProperty value; ν RjCorresponding informance matter-element R in the expression example jProperty value;
(7), environmental stimuli information matter element R n, information matter element R nMake a response, its algorithm may further comprise the steps:
(7.1), provide inquiry, determine matter-element activation amount K 0(R n) value, i.e. formula (2):
(7.2), with K 0Activation propagate into all information matter element R nObtaining similarity propagation result is formula (3):
K 1 ( R n ) = P R n [ σ ( R 1 , R n ) · K 0 ( R n ) , · · · , σ ( R s , R n ) · K 0 ( R s ) ] - - - ( 3 ) ;
(7.3), the result of (7.2) is propagated into example node L, obtain correlativity and propagate the result, the computing formula of total activation amount is (4):
K 2(l)＝P l[ρ(R 1，l)·K 1(R 1)，…，ρ(R s，l)·K 1(R s)] (4)；
(8), determine the matching degree of example by the calculating of total activation amount, the matching degree of each example in the calculated examples storehouse successively, the example of corresponding matching value maximum is a preferred example, obtains the Product Conceptual Design scheme according to preferred example.
Further, in described (7.2), activate computing and comprise not having the constraint computing and the constraint computing is arranged; The rule of not having the constraint computing is: work as R 1, R 2, R 3When not retraining, trigger matter-element R 1, R 2, K 1(R 1) can to disperse be two kinds of matter-element K 1(R 11), K 1(R 12), can obtain K 1(l 1), K 2(l 2); There is the rule of constraint computing to be: to work as R 2, R 3When having constraint, if R 2There is R 3Lower floor disperse matter-element and be limited to matter-element R 32, trigger R 1, R 2, two kinds of matter-elements that exhale need be considered K 1(R 32)=σ (R 32, R) K 0(R 32).
Principle of work of the present invention is: can open up is the new branch of science that China's Mainland scholar Cai Wenxian is born in the nineteen eighty-three foundation, through the exploration of many experts and scholars in theory and practice, formed featured theoretical frame at present, mainly be: 1, set up and to have opened up set and correlation function; 2, set up and to have opened up logic; 3, studied and changed contradictory problems for the basic skills of contradictory problems not etc.
User's designing requirement is expressed as the form of information matter element, and for some information matter element, the user can own directly input, or selection extracts from information database, meets the cognitive thinking of conceptual design guided bone like this; Foundation can be opened up constraint rule storehouse and the case library between the matter-element; System extracts these constraints automatically in rule base, and automatically relevant matter-element is made activation; The designer makes amendment in can opening up the example shape library according to client's demand at last, and then draws satisfied design proposal, finishes design.
Beneficial effect of the present invention mainly shows: 1, modeling framework has good flexibility; 2, have the mapping inference method of product function to structure; 3, developmental capacity is strong; 4, Reasoning Efficiency height.
(4) description of drawings
Fig. 1 is based on the Product Conceptual Design block diagram of extension information matter-element.
Fig. 2 is speed reduction unit functional analysis semantic network figure.
Fig. 3 is that the speed reduction unit functional analysis can be opened up the matter-element grid chart.
Fig. 4 can open up the matter-element model structural drawing.
Fig. 5 is the functional analysis semantic network figure of tool magazine.
(5) embodiment
Below in conjunction with accompanying drawing the present invention is further described.
Embodiment 1
With reference to Fig. 1, a kind of Product Conceptual Design method based on the extension information matter-element, this method mainly may further comprise the steps: (1), user's product design required to be expressed as the form of extension information matter-element, set up matter-element model R=(N, c, ν), described matter-element model comprises three base attributes that constitute product: name N, feature c and value ν;
(2), set up the product rule base, described product rule base comprises each other matter-element relation of extension information matter-element, the rule of correspondence of matter-element relation is explained;
(3), the use drafting instrument is developed on the graphics software platform, sets up the case library of product;
(4), the extension information matter-element directly is associated with case library, constitute the structure of a network-type: M=[R, L, σ, ρ, P],
Wherein, R is the set of limited extension information matter-element, and L is the set of limited example node, and σ is the similar function of extension information matter-element: σ=R i* R j→ F σ, F σSimilar value between the expression information matter element, ρ is the related function ρ of information matter element and example: R n* L → F ρ, extension information matter-element R is described nCorrelativity ρ (R with example node L n, L), F ρRepresent satisfactory correlation; P is the propagator P of similar value and correlation n: F σ* F ρ→ F P, for each node n ∈ R ∪ L, F PTotal activation amount of accepting for node n;
(5), each matter-element is simplified, the rule of its simplification is:
The following information matter element of one deck directly risen to case library is connected, give between each subordinate's matter-element and the higher level's matter-element and give a correlation, the company by correlation takes advantage of the realization equivalence;
According to the restriction relation of product inside, will there be another matter-element omission of restriction relation or dwindle its span with a certain matter-element;
(6), determine that matter-element relation exists qualitative relationships and quantitative relationship, set up the matter-element the opened up relationship degree between information matter element and the example, according to described relationship degree, set up the matter-element relational matrix, obtain each extension information matter-element R nCorrelation ρ (R with example node L n, L);
The matter-element calculating formula of similarity is (1):
σ ( R i , R j ) = min ( v R i , v R j ) max ( v R i , v R j ) - - - ( 1 ) ;
In the following formula, σ (R i, R j) expression information matter element R iWith example corresponding informance matter-element R jBetween similarity, ν RiRepresent each the information matter element R in the scheme to be designed iProperty value; ν RjCorresponding informance matter-element R in the expression example jProperty value;
(7), environmental stimuli information matter element R n, information matter element R nMake a response, its algorithm may further comprise the steps:
(7.1), provide inquiry, determine matter-element activation amount K 0(R n) value, i.e. formula (2):
(7.2), with K 0Activation propagate into all information matter element R nObtaining similarity propagation result is formula (3):
K 1 ( R n ) = P R n [ σ ( R 1 , R n ) · K 0 ( R n ) , · · · , σ ( R s , R n ) · K 0 ( R s ) ] - - - ( 3 ) ;
(7.3), the result of (7.2) is propagated into example node L, obtain correlativity and propagate the result, the computing formula of total activation amount is (4):
K 2(l)＝P l[ρ(R 1，l)·K 1(R 1)，…，ρ(R s，l)·K 1(R s)] (4)；
(8), determine the matching degree of example by the calculating of total activation amount, the matching degree of each example in the calculated examples storehouse successively, the example of corresponding matching value maximum is a preferred example, obtains the Product Conceptual Design scheme according to preferred example.
In described (7.2), activate computing and comprise not having the constraint computing and the constraint computing is arranged; The rule of not having the constraint computing is: work as R 1, R 2, R 3When not retraining, trigger matter-element R 1, R 2, K 1(R 1) can to disperse be two kinds of matter-element K 1(R 11), K 1(R 12), can obtain K 1(l 1), K 2(l 2);
There is the rule of constraint computing to be: to work as R 2, R 3When having constraint, if R 2There is R 3Lower floor disperse matter-element and be limited to matter-element R 32, trigger R 1, R 2, two kinds of matter-elements that exhale need be considered K 1(R 32)=σ (R 32, R) K 0(R 32).
Embodiment 2
With reference to Fig. 1, Fig. 2, Fig. 3, Fig. 4, a kind of speed reduction unit method for designing based on the extension information matter-element may further comprise the steps:
The first step, investigating out user's demand by forms such as informal discussion, questionnaires, mainly is the aspect such as performance, price of speed reduction unit.
Second step, user's demand information is showed with the extension information matter-element model, matter-element model has been contained three base attributes of formation things: name, feature and value, its representation as According to the definition of information matter element, with an entity together with all properties and property value form one have that example, extensive, gathering and four kinds of contacts of attribute have concurrently concurrently levy matter-element entirely, as R 1=(gear unit classification gear), R 2=(connection of gear unit classification), R 11Fig. 2, Fig. 3 are seen in=(transmission of gear drive type cylinder).
The 3rd the step, set up the product rule base, the product rule base of speed reduction unit is as follows:
Matter-element concerns 1: single-stage driving matter-element-cylindrical gear matter-element-spur gear matter-element-ratio of gear matter-element; The rule of correspondence is explained: single cylindrical gear reducer straight-tooth ratio of gear is generally less than 4.
Matter-element concerns 2: single-stage driving matter-element-cylindrical gear matter-element-spiral gear matter-element-ratio of gear matter-element; The rule of correspondence is explained: single cylindrical gear reducer helical teeth ratio of gear is generally less than 6.
Matter-element concerns 3: single-stage driving matter-element-shaft power matter-element-bearing type matter-element; The rule of correspondence is explained: single-stage driving adopts rolling bearing more when middle-size and small-size input load; Only when heavy load, adopt sliding bearing.
Matter-element concerns 4: single-stage driving matter-element-cylindrical gear matter-element-tank material matter-element; The rule of correspondence is explained: the homopolar bevel gear casing is used cast iron always.
Matter-element concerns 5: single-stage driving matter-element-transmission centre distance matter-element-ratio of gear matter-element; The rule of correspondence is explained: during single-stage driving, transmission centre distance is between 80-560, and ratio of gear is between 2.3-5.6.
Matter-element concerns 6: cylindrical gear matter-element-axle layout matter-element; The rule of correspondence is explained: the axle layout state of cylinder gear speed reducer can not be vertical, is biasing or parallel.
Matter-element concerns 7: two-stage transmission matter-element-cylindrical gear matter-element-spur gear matter-element-ratio of gear matter-element rule of correspondence is explained: two-stage cylinder gear speed reducer straight-tooth ratio of gear is generally between 8 and 40.
Matter-element concerns 8: two-stage transmission matter-element-cylindrical gear matter-element-spiral gear matter-element-ratio of gear matter-element; The rule of correspondence is explained: two-stage cylinder gear speed reducer helical teeth ratio of gear is generally between 8 and 40.
Matter-element rule 9: axle rotating speed matter-element-driving member lubricating system matter-element; The rule of correspondence is explained: when the peripheral speed of input shaft less than 12m/s, use the flooding system lubrication mode; When speed during, use the oil jet lubrication mode greater than 12m/s.
Matter-element concerns 10: vibration matter-element-bearing type matter-element; The rule of correspondence is explained: the general ball bearing matter-element that adopts when load is steady, the taper roll bearings that adopt when load is not steady more.
Matter-element concerns 11: conical gear matter-element-single-stage driving matter-element-spur gear matter-element-ratio of gear matter-element; The rule of correspondence is explained: the ratio of gear of single-stage cone gear reducer straight-tooth transmission is generally less than 3.
Matter-element concerns 12: conical gear matter-element-single-stage driving matter-element-spiral gear matter-element-ratio of gear matter-element; The rule of correspondence is explained: the ratio of gear of single-stage cone gear reducer straight-tooth transmission is generally less than 5.
Matter-element concerns 13: conical gear matter-element-cylindrical gear matter-element-two-stage transmission matter-element-ratio of gear matter-element; The rule of correspondence is explained: the ratio of gear of two-stage tapered cylindrical gear reducer is generally between 8 and 15.
Matter-element concerns 14: conical gear matter-element-price matter-element; The rule of correspondence is explained: cone gear reducer is owing to the manufacturing complexity of conical gear, and its price is higher.
Matter-element concerns 15: two-stage transmission matter-element-transmission centre distance matter-element-ratio of gear matter-element; The rule of correspondence is explained: during the two-stage transmission, transmission centre distance is between 200-560, and ratio of gear is between 8-20.
Matter-element concerns 16: single-stage driving matter-element-cylindrical gear matter-element-transmission efficiency matter-element; The rule of correspondence is explained: the transmission efficiency of single cylindrical gear reducer is 0.97-0.98.
Matter-element concerns 17: two-stage transmission matter-element-cylindrical gear matter-element-transmission efficiency matter-element; The rule of correspondence is explained: the transmission efficiency of two-stage cylinder gear speed reducer is 0.95-0.96.
Matter-element concerns 18: single-stage driving matter-element-conical gear matter-element-transmission efficiency matter-element; The rule of correspondence is explained: the transmission efficiency of single-stage cone gear reducer is 0.95-0.96.
Matter-element concerns 19: cylindrical gear matter-element-conical gear matter-element-transmission efficiency matter-element; The rule of correspondence is explained: the transmission efficiency of single cylindrical gear reducer is 0.94-0.95.
Matter-element concerns 20: input shaft power matter-element-driving member lubricating system matter-element; The rule of correspondence is explained: if the power of actual input shaft more than or equal to 1500KW, the lubricating system of driving member adopts spray lubrication.
Matter-element concerns 21: axle input speed matter-element-axle output speed matter-element-ratio of gear matter-element; The rule of correspondence is explained: the ratio of input shaft rotating speed and output shaft rotating speed is exactly ratio of gear.
Matter-element concerns 22: axle input speed matter-element-axle output speed matter-element; The rule of correspondence is explained: the rotating speed of input shaft rotating speed is affirmed the rotating speed greater than output shaft.
Matter-element concerns 23: axle input speed matter-element-axle input torque matter-element-axle power input matter-element; The rule of correspondence is explained: torque, rotating speed and power exist the funtcional relationship of m=9550*N/n.
Matter-element concerns 24: axle output speed matter-element-axle output torque matter-element-shaft power matter-element; The rule of correspondence is explained: torque, rotating speed and power exist the funtcional relationship of m=9550*N/n.
The 4th goes on foot, sets up the speed reduction unit case library on the UG platform.Native system has used Delphi5.0 and DataBase Desktop instrument to develop, and this system needs following hardware environment: minimum hardware configuration: PC586,32M internal memory, 16M video memory, 1.44M floppy drive, 8 times of above CD-ROM drive drivers of speed; Software arrangements: WindowNT/2000 operating system, Delphi 5.
Delphi is the visual software developing instrument that famous Borland company develops." real programmer uses C, and clever programmer uses Delphi ", the words is the description classical, the most tangible to Delphi.Delphi be called as the 4th generation programming language, it has simple, efficient, powerful characteristics.Compare with VC, Delphi is simpler, be easier to grasp, and not a halfpenny the worse on function, and execution speed has only 70% of C language; Compare with VB, Delphi is then more powerful, more practical.We can say that Delphi has had both the powerful and VB characteristics easy to learn of VC simultaneously.
Delphi has following characteristic: based on forms and OO method, and compiler at a high speed, powerful database support is combined closely powerful and ripe component technology with the Windows programming.Delphi provides various developing instruments, comprises the integration environment, picture editting, and the application program in various development datas storehouse, as just having used DelphiDesktop Base in the native system exploitation.In the numerous advantage of Delphi, its speciality aspect database seems particularly outstanding.For vast program development personnel, use Delphi Application and Development software, can improve programming efficiency greatly undoubtedly.
The 5th step, product design has level, with the principle of Function Decomposition it can be assigned to inseparable till.With reference to Fig. 2, allow the corresponding design proposal of each example, the extension information matter-element directly is associated the structure of a network-type of formation with case library.Simplify and divide two classes, the first kind, the following four-headed arrow of one deck directly risen to case library be connected, the correlativity of ground floor and case library does not change like this, the relation that remains unchanged for the matter-element opened up and the case library that makes below the second layer, give between each subordinate's matter-element and the higher level's matter-element and give a correlation, then the company by correlation takes advantage of realization of equal value; Second class according to the restriction relation of product inside, is omitted some matter-elements or is dwindled its span, supposes R 1With R 2Between exist certain restriction relation, at first at extension information matter-element R 1Under the prerequisite that exists, R 2Certain will take place change, the most extreme is exactly the relation of opposition, then by giving up R 2Or dwindle R 2Span.It is the basis that can open up the excitation reasoning that matter-element is simplified.
The 6th step, can open up matter-element network chart formization and be expressed as: M=[R, L, σ, ρ, P], wherein, R is the set of limited extension information matter-element; L is the set of limited example node; σ is the similar function of extension information matter-element: σ=R i* R j→ F σF σSimilar value between the expression information matter element; ρ is the related function ρ of information word and example: R n* L → F ρ, the extension information unit R is described nCorrelativity ρ (R with example node L n, L), F here ρRepresent satisfactory correlation; P is the propagator P of similar value and correlation n: F σ* F ρ→ F P, for each node n ∈ R ∪ L, F PTotal activation amount of accepting for node n.
With reference to Fig. 3, "  " expression is here contained, and " → " expression is relevant, and there is constraint in " " expression, if such as centre distance between 80-150, then ratio of gear will be between 2.3-5.6.
The 7th the step, according to above-mentioned rule with this extension information matter-element model formalization representation, as Fig. 4, ρ (R n, L) expression R is to the relation of L, σ (R i, R j) represent from R iTo R jRelation, if ρ (R n, L) ≠ 0, represent this extension information unit R nBelong to corresponding example L, the significance level of R is used P among its value representation L nThe activation amount of sign node n.
Between the 8th step, extension information matter-element qualitative and quantitative relation is arranged, set up the matter-element the opened up relationship degree between information matter element and the example,, set up the matter-element relational matrix, obtain each extension information matter-element R according to described relationship degree nCorrelation ρ (R with example node L n, L).With reference to Fig. 3, earlier speed reduction unit extension information matter-element is carried out formalization representation.
R 1Represent driving machine matter-element R 2Represent axle input speed matter-element
R 3Represent axle output speed matter-element R 4Represent axle input torque matter-element
R 5Represent axle output torque matter-element R 6Represent arbor wheel to connect matter-element
R 7Represent axle power input matter-element R 8Represent the shaft power matter-element
R 9Represent gear-type matter-element R 9Represent the working time matter-element
R 10Represent bearing type matter-element R 11Represent driving member lubricating system matter-element
R 12Represent transmission progression matter-element R 13Represent transmission centre distance matter-element
R 14Represent bearing load matter-element R 15Represent the mean lifetime matter-element
R 16Represent transmission efficiency matter-element R 17Represent the ratio of gear matter-element
R 18Represent demand price matter-element R 19Representative demand vibration matter-element
R 20Representative demand weight matter-element R 21Represent axle layout matter-element
R 22Represent casing volume matter-element R 23Represent the outside matter-element that connects
R 25Represent working environment matter-element R 26Represent the tank material matter-element
R 27Represent the installability matter-element
And set up the relevant kilsyth basalt of speed reduction unit extension information matter-element, referring to table 1:
Table 1
In the above-mentioned extension information matter-element degree of correlation complete list, can more objectively draw the weight factor ρ (R in the excitation algorithm n, l) ∈ [0,1].
If matter-element is a parametric form, the matter-element calculating formula of similarity is (1):
σ ( R i , R j ) = min ( v R i , v R j ) max ( v R i , v R j ) - - - ( 1 ) ;
In the following formula, σ (R i, R j) expression information matter element R iWith example corresponding informance matter-element R jBetween similarity, ν RiRepresent each the information matter element R in the scheme to be designed iProperty value; ν RjCorresponding informance matter-element R in the expression example jProperty value.Generally the ratio of the value in actual value and the example in actual computation.
The 9th step, when matter-element when accepting environmental stimuli, can make a response immediately, all can produce the different effect of degree to the activation of any matter-element to whole example, this has just greatly expanded the flexibility and the novelty of case-based reasoning.Its algorithm can be divided into three phases:
Phase one: provide inquiry, determine matter-element activation amount K 0(R n) value, i.e. formula (2):
Subordinate phase: with K 0Activation propagate into all information matter element R nObtaining similarity propagation result is formula (3):
K 1 ( R n ) = P R n [ σ ( R 1 , R n ) · K 0 ( R n ) , · · · , σ ( R s , R n ) · K 0 ( R s ) ] - - - ( 3 ) ;
Phase III: the result of subordinate phase is propagated into example node L, obtain correlativity and propagate the result, the computing formula of total activation amount is (4):
K 2(l)＝P l[ρ(R 1，l)·K 1(R 1)…，ρ(R s，l)·K 1(R s)] (4)；
The tenth step, because the activation amount of example node equals the similarity of example, therefore can determine the similarity of example by the calculating of activation amount.Determine the matching degree of example by the calculating of total activation amount, the matching degree of each example in the calculated examples storehouse successively, the example of corresponding matching value maximum is a preferred example,
The 11 step, activation computing are divided into the nothing constraint and constraint two parts are arranged, and for the former, work as R 1, R 2, R 3When not retraining, trigger matter-element R 1, R 2, K then 1(R 1) can to disperse be two kinds of matter-element K 1(R 11), K 1(R 12), and then can obtain K 1(l 1), K 2(l 2); For the latter, suppose R 2, R 3When having constraint, if R 2There is R 3Lower floor disperse matter-element and be limited to matter-element R 32, then trigger R 1, R 2The time, two kinds of matter-elements that exhale need be considered K 1(R 32)=σ (R 32, R) K 0(R 32).
The 12 step, designer further revise according to customer demand, draw final conceptual design scheme according to preferred example.
Embodiment 3
With reference to Fig. 1, Fig. 5, a kind of tool magazine conceptual design method based on the extension information matter-element, the product rule base of present embodiment comprises:
Matter-element concerns 1: vertical processing-above rotary type tower tool magazine matter-element-lathe;
The rule of correspondence is explained: the rotary type tower tool magazine be positioned on vertical processing machine tool above;
Matter-element concerns 2: horizontal processing-above disc type tool magazine matter-element-lathe;
The rule of correspondence is explained: the disc type tool magazine be positioned on horizontal machining tool above;
Matter-element concerns 3: horizontal processing-magazine matter-element-console mode;
The rule of correspondence is explained: magazine is positioned on the ground of horizontal machining tool;
Matter-element concerns 4: horizontal processing-grid-like tool magazine matter-element-console mode;
The rule of correspondence is explained: the grid-like tool magazine is positioned on the ground of horizontal machining tool;
The set R that can open up matter-element information comprises:
Figure A20051006204000201
Figure A20051006204000211
The foundation of the case library of present embodiment: native system has used VisualLISP, DCL among the Auto CAD2000, ObjectARX3.0 and Visual C++6.0 to develop, and needs following hardware environment: minimum hardware configuration: PC586,32M internal memory, 16M video memory, 1.44M floppy drive, 4 times of above CD drive of speed, software arrangements: Window9X/NT4/2000 operating system, AutoCAD2000 Chinese edition platform, Microsoft Visual C++6.0.
Design example: design a tool magazine, for satisfying processing conditions, requiring the tool magazine capacity is 18, selects cutter time≤4 second, and maximum tool length is 220 millimeters, and maximum gauge is 90 millimeters, and maximum tool weight is 5 kilograms.Through system's computing, drawing best tool magazine scheme is the disc type tool magazine.
All the other steps of present embodiment are identical with embodiment 1.

Claims (2)

1, a kind of Product Conceptual Design method based on the extension information matter-element, this method mainly may further comprise the steps:
(1), user's product design is required to be expressed as the form of extension information matter-element, (v), described matter-element model comprises three base attributes that constitute product: name N, feature c and value v for N, c to set up matter-element model R=;
(2), set up the product rule base, described product rule base comprises each other matter-element relation of extension information matter-element, the rule of correspondence of matter-element relation is explained;
(3), the use drafting instrument is developed on the graphics software platform, sets up the case library of product;
(4), the extension information matter-element directly is associated with case library, constitute the structure of a network-type: M=[R, L, σ, ρ, P],
Wherein, R is the set of limited extension information matter-element, and L is the set of limited example node, and σ is the similar function of extension information matter-element: σ=R i* R j→ F σ, F σSimilar value between the expression information matter element; ρ is the related function ρ of information matter element and example: R n* L → F ρ, extension information matter-element R is described nCorrelativity ρ (R with example node L n, L), F ρRepresent satisfactory correlation; P is the propagator P of similar value and correlation n: F σ* F ρ→ F P, for each node n ∈ R ∪ L, F PTotal activation amount of accepting for node n;
(5), each matter-element is simplified, the rule of its simplification is:
The following information matter element of one deck directly risen to case library is connected, give between each subordinate's matter-element and the higher level's matter-element and give a correlation, the company by correlation takes advantage of the realization equivalence;
According to the restriction relation of product inside, will there be another matter-element omission of restriction relation or dwindle its span with a certain matter-element;
(6), determine that matter-element relation exists qualitative relationships and quantitative relationship, set up the matter-element the opened up relationship degree between information matter element and the example, according to described relationship degree, set up the matter-element relational matrix, obtain each extension information matter-element R nCorrelation ρ (R with example node L n, L);
The matter-element calculating formula of similarity is (1):
σ ( R i , R j ) = min ( v R i , v R j ) max ( v R i , v R j ) - - - ( 1 ) ;
In the following formula, σ (R i, R j) expression information matter element R iWith example corresponding informance matter-element R jBetween similarity, v RiRepresent each the information matter element R in the scheme to be designed iProperty value; v RjCorresponding informance matter-element R in the expression example jProperty value;
(7), environmental stimuli information matter element R n, information matter element R nMake a response, its algorithm may further comprise the steps:
(7.1), provide inquiry, determine matter-element activation amount K 0(R n) value, i.e. formula (2):
(7.2), with K 0Activation propagate into all information matter element R nObtaining similarity propagation result is formula (3):
K 1 ( R n ) = P R n [ σ ( R 1 , R n ) · K 0 ( R n ) , · · · , σ ( R s , R n ) · K 0 ( R s ) ] - - - ( 3 ) ;
(7.3), the result of (7.2) is propagated into example node L, obtain correlativity and propagate the result, the computing formula of total activation amount is (4):
K 2(l)＝P l[ρ(R 1，l)·K 1(R 1)，…，ρ(R s，l)·K 1(R s)] (4)；
(8), determine the matching degree of example by the calculating of total activation amount, the matching degree of each example in the calculated examples storehouse successively, the example of corresponding matching value maximum is a preferred example, obtains the Product Conceptual Design scheme according to preferred example.
2, the Product Conceptual Design method based on the extension information matter-element as claimed in claim 1 is characterized in that: in described (7.2), activate computing and comprise not having the constraint computing and the constraint computing is arranged; The rule of not having the constraint computing is: work as R 1, R 2, R 3When not retraining, trigger matter-element R 1, R 2, K 1(R 1) can to disperse be two kinds of matter-element K 1(K 11), K 1(K 12), can obtain K 1(l 1), K 2(l 2); There is the rule of constraint computing to be: to work as R 2, R 3When having constraint, if R 2There is R 3Lower floor disperse matter-element and be limited to matter-element R 32, trigger R 1, R 2, two kinds of matter-elements that exhale need be considered K 1(R 32)=σ (R 32, R) K 0(R 32).
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CN101221590A (en) * 2006-07-21 2008-07-16 达索系统公司 Computer implemented method for defining an input product
CN101923585A (en) * 2010-04-14 2010-12-22 河北工业大学 Method and tool of utilizing random combination of graphics for designing new product
CN102402425A (en) * 2010-09-09 2012-04-04 金蝶软件（中国）有限公司 Method and device for generating software conceptual product, and ERP (Enterprise Resource Planning) generation system
CN102622469A (en) * 2012-02-20 2012-08-01 浙江工业大学 Similarity-based mining method for product extension classification knowledge
CN108121826A (en) * 2018-01-15 2018-06-05 中国人民解放军陆军装甲兵学院 Based on the structure feature search method that can open up similarity
CN108121882A (en) * 2018-01-15 2018-06-05 中国人民解放军陆军装甲兵学院 Demand matter-element structure match method based on the degree of correlation
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Publication number Priority date Publication date Assignee Title
CN101221590A (en) * 2006-07-21 2008-07-16 达索系统公司 Computer implemented method for defining an input product
CN101221590B (en) * 2006-07-21 2016-09-28 达索系统公司 The computer implemented method of definition input product
CN101923585A (en) * 2010-04-14 2010-12-22 河北工业大学 Method and tool of utilizing random combination of graphics for designing new product
CN101923585B (en) * 2010-04-14 2012-05-30 河北工业大学 Method of utilizing random combination of graphics for designing new product
CN102402425A (en) * 2010-09-09 2012-04-04 金蝶软件（中国）有限公司 Method and device for generating software conceptual product, and ERP (Enterprise Resource Planning) generation system
CN102622469A (en) * 2012-02-20 2012-08-01 浙江工业大学 Similarity-based mining method for product extension classification knowledge
CN108121826A (en) * 2018-01-15 2018-06-05 中国人民解放军陆军装甲兵学院 Based on the structure feature search method that can open up similarity
CN108121882A (en) * 2018-01-15 2018-06-05 中国人民解放军陆军装甲兵学院 Demand matter-element structure match method based on the degree of correlation
CN108799467A (en) * 2018-08-13 2018-11-13 广州电力机车有限公司 A kind of design method of dumper retarder

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