CN101246509A - Entire car personalized configuration system based on case illation technology - Google Patents
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Abstract
The invention relates to an individuation configure system for a sedan vehicle based on CBR technology in the technology field of computer application, comprising: a user requiring and acquiring module, an existing model case library module, a configure module based on the existing model case, the user requiring and acquiring module acquires the needed information of the users, automatically shines the needed characteristic information of the users upon the constructional element of the car, and acquires the design parameter of new car models; the configure module based on the existing model case transfers the design parameter of car models, deploys and searches the existing model case library module, a new car model is generated; the existing model case library module is in charge of storing and managing the information of the existing model case in the system. The invention has the characteristic of modularization, layering, standardization and parameterization, there are independence and relevance between the modules.
Description
Technical field
What the present invention relates to is the entire car configuration-system in a kind of Computer Applied Technology field, specifically, is a kind of entire car personalized configuration system based on case illation technology.
Background technology
China entire car manufacturing enterprise mainly faces following challenge at present: at first, the update of vehicle is accelerated, and the new model Time To Market shortens, and for automobile manufacturing enterprise, it is to drive the time of today that the market-driven of the past has become.Simultaneously, the Time To Market of new car is also more and more paid close attention in the behavior of client's purchase new car.Time To Market is short more, and the understanding that the client more can be is early also bought new model, this in addition can remedy the loss of client on purchasing price.Secondly, the client requires more and more diversifiedly to new model, and the client not only satisfies the primary demand of car now, but wishes that enterprise can provide more personalized vehicle, satisfies different clients' individual demand.The variation of user's request and the personalized trend that becomes the world gradually.At last, the ratio of multi-varieties and small-batch constantly increases in the configuration of vehicle car load, and market is diversified, also is changeable, and more and more automobile enterprises begin to be inclined to the mode of production of multi-varieties and small-batch.Simultaneously, in order to be reduced in the risk in market, a lot of enterprises begin to change by the production of prediction markets tissue, become by the order tissue and produce.This also makes enterprise change the production model of many kinds, short run into from few kind, large batch of production model kind.
At the challenge that car manufacturing enterprise faces, enterprise just must dispose this " source " to car load and change.1. realize the personalization of car load configuration.The personalization of intense market competition and demand requires the automobile type configuration of automobile enterprise and the manufacture must be customer-centric, realizes the Custom Design of product.Traditional method for designing has been not suitable for current market demands towards unified and stable market.And personalized design has then shown huge advantage.2. make full use of existing vehicle example resource,, can make enterprise configure a series of new models quickly and accurately by reusing existing vehicle example knowledge.Therefore design an entire car personalized configuration system based on example, just seem is of practical significance very much.
CBR (Case-based Reasoning, reasoning based on example) technology, it is a kind of inference method of similar or analogy, thereby it is by visiting a kind of reasoning pattern of finding the solution acquisition current problem solution of similar problem of past in the existing vehicle case library, promptly utilize existing example or experience to solve new problem, estimate new problem, explain abnormal conditions or understand new situation.In CBR, the state description of a problem and solution strategies thereof are represented with a case (Case), the memory of case library simulation human brain, stored the case in some past, the available semantic net node of case itself, rule, framework or object are realized, these cases are organized in knowledge base by certain pattern, can in time take out in needs.The example that the direct utilization of CBR technology was dealt with problems in the past, the field question that can solve the knowledge representation difficulty effectively or be beyond expression, its self-learning function has guaranteed the continuous enhancing of inferential capability, is the efficient important means of handling close or similar competitive intelligence of enterprise.
Find by prior art documents, " Conceptual modeling for configuration of mass-customizableproducts " (conceptual design in the mass product custom configuration) that Alexander Ferlfernig etc. delivered on the 165th page of first phase calendar year 2001 of " ArtificialIntelligence in Engineering " (artificial intelligence in the engineering field) studied based on knowledge base configuration surroundings system, set up the conceptual model of product configuration and the automatic structure model of knowledge base.Employing is determined the rationality of knowledge base validity, unreasonable configuration requirement, existing configuration based on the diagnostic techniques of model, and is used for supporting layoutprocedure again.Simultaneously, the design language of how having discussed with a kind of standard carries out modeling and management to the configuration knowledge base, but does not relate to the situation of entire car configuration.Therefore, the present situation that faces according to automobile manufacturing enterprise, the demand that adapts to the personalized configuration of car, make full use of the existing vehicle example resource of enterprise, design the entire car personalized configuration system based on the CBR technology, just seem is of practical significance very much, to improving enterprise's car load allocative efficiency, shorten the new model Time To Market, meet the need of market again simultaneously, have important practical significance.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, a kind of entire car personalized configuration system based on case illation technology is provided, make it can effectively utilize existing vehicle example knowledge, configure new model quickly and accurately, the difficulty that faces for present car manufacturing enterprise provides a solution route.
The present invention is achieved by the following technical solutions, the present invention includes: user's request acquisition module, existing vehicle case library module, based on the configuration module of existing vehicle example.The user's request acquisition module obtains user's demand information, and the mode by shining upon, and the structural detail of the information of client's demand characteristic from the trend car shone upon, and obtains the design parameter of zero-mileage car vehicle.Configuration module based on existing vehicle example calls the vehicle design parameter in the demand acquisition module, and be configured retrieval in existing vehicle case library module, generates a new model.Existing vehicle case library module is responsible for the knowledge of the existing vehicle example in the storage and management system, is based on the basis that existing vehicle is configured, and has preserved the information knowledge of all existing vehicles, and has upgraded in time.
Described user's request acquisition module is responsible for obtaining user's demand information, the client is by the personalized demand of user's request acquisition module input, system adopts the XML technology, the structural detail of the information of client's demand characteristic from the trend car shone upon, facilitate computing machine like this and utilize configuration rule to carry out intelligent inference.The user's request acquisition module comprises two mapping models, i.e. customer demand and functional expression mapping model and functional expression and structural detail mapping model.Customer demand and functional expression mapping model are responsible for client's demand is mapped to the functional mode of car, set up getting in touch between demand and the function, set up getting in touch between function and the structural detail by functional expression and structural detail mapping model afterwards, so just realized getting in touch between customer demand and the structural detail.Two mapping models adopt the XML technological expression as follows respectively:
＜! The serial vehicle customer demand of P-A-" A "-function mapping relations document--〉
……
<！P-A-1>
＜Name〉" A " serial vehicle＜/Name 〉
<SN>A</SN>
<Mapping>
＜Demand〉the assembly system A.1＜/Demand
<C-Demand>
＜Customer Field〉A.1 assembly system features attribute A.1.1＜/Customer Field
＜Function Value〉A.1.1 value of characteristic attribute＜/Function Value 〉
</C-Demand>
</Mapping>
</Mapping>
……
</P-A-1>
Mark＜Demand〉with＜Function Value〉what define is the expression index and the parameter of function, and＜Customer Field 〉,＜Customer Value〉defined customer demand expression index and parameter, their mapping relations then are defined in＜C-Demand〉in.
＜! The serial vehicle functional expression of P-A-" A "-structural detail mapping relations document--〉
……
<P-A-2>
＜Name〉" A " serial vehicle＜/Name 〉
<SN>A</SN>
<Mapping>
＜Demand〉the assembly system A.1＜/Demand
<Comp?Value>
＜Function Value〉A.1 assembly system features attribute A.1.1＜/Function Value
＜Comp Para〉A.1.1 pre-value 1 of characteristic attribute＜/Comp Para 〉
＜Para Value〉A.1.1 pre-value 2 of characteristic attribute＜/Para Value 〉
</Comp?Value>
</Mapping>
……
</P-A-2>
The mapping relations definition is similar with a last mapping model.
To get in touch in order setting up between customer demand and the structural detail, between customer demand and structural detail, to insert functional structure and transform as the centre.Customer demand and functional expression mapping model are responsible for client's demand is mapped to the functional mode of car, set up getting in touch between demand and the function.By functional expression and structural detail mapping model, set up getting in touch between function and the structural detail afterwards.So just realized getting in touch between customer demand and the structural detail.
Described existing vehicle case library module comprises: existing vehicle example representation of knowledge module, the molded tissue block of existing vehicle example and the memory module of existing vehicle example, these three sub-resume module objects all are various information knowledges in the case library, information source is existing vehicle case library, existing vehicle example representation of knowledge module is responsible for the information knowledge in the case library is expressed as unified format, then, the molded tissue block of existing vehicle case library is responsible for these knowledge by unified presentation format is reasonably arranged, the memory module of existing vehicle example knowledge is responsible for existing vehicle example at last, according to the knowledge representation mode and the organization arrangement that set, storage advances to have in the vehicle case library.
Described existing vehicle example representation of knowledge module: adopt a basic constraint satisfaction problem CSP to represent an existing vehicle example, promptly a vehicle example can be expressed as a tlv triple, Moble=(title, description, CSP), wherein title is the unique identification of a vehicle example, can be the sign of the model of this vehicle as this vehicle example; Description describes different types of vehicle example text, dissimilar vehicle case representations the vehicle of different series, adhere to different product families separately.A CSP comprises the value and the constraint of variable, variable.
The molded tissue block of described existing vehicle case library: this module is responsible for rationally arranging and organizing the various information knowledges in the existing vehicle case library.The mode of handling is: adopt the tree method for organizing, a vehicle is a tree structure, tree structure branch into its spare part, " leaf " node in the branch is its attached association attributes knowledge.The structure of whole vehicle and attribute information are promptly organized in the mode of tree structure and are exported.
The memory module of described existing vehicle example knowledge: according to the institutional framework in the existing vehicle case library, this module is responsible for example is stored into system.The information of not only having preserved existing vehicle and existing parts in the existing vehicle case library has also been preserved some virtual.Virtual expression needs newly-designed vehicle and newly-designed parts, the parts that promptly existing vehicle case library can not provide.
Described configuration module based on existing vehicle example, the responsible demand information that obtains according to the customer demand module, retrieval configures a new model from existing vehicle case library module.Comprise three parts: similarity computing module, configuration flow module and new design module.Similarity computing module is responsible for computation requirement information and the direct similarity of example aspects property value, adopt the most adjacent matching algorithm that each characteristic attribute in the example is all considered as the one dimension of search volume, draw the similarity of fixed value and interval value, solve based on the problem in the retrieval car load example of client's fuzzy message.Configuration retrieval flow module is responsible for the similarity result that draws according to similarity computing module, based on the institutional framework of existing vehicle case library, carries out the configuration retrieval based on existing vehicle example.The institutional framework of the existing vehicle case library of vehicle is to adopt tree, and has both preserved the node of existing parts at each layer, also has virtual spare part simultaneously, and virtual spare part is new design service.New design module: both be responsible in existing vehicle example, all retrieving, and then started new design module less than the example of meeting customer need.Because retrieval is less than the desired spare part of demand in the case library, new design module will obtain new design parameter from similarity computing module, implement the innovative design of spare part.After the new spare part design, the expression mode with tree is added in the new model.
The invention has the beneficial effects as follows, can make full use of the existing vehicle resource of enterprise, organized a large amount of manpower and materials with the past, the traditional design new model mode that designs is compared, and can save enterprise's design flow of 50% nearly, and cost has also descended three one-tenth.Another advantage is to shorten the Time To Market of new model, and the construction cycle of a new model of past is 17～23 months, adopts system of the present invention that the Time To Market of new model was shortened in 1 year.And, more can satisfy the various requirements of various clients aspect body of a motor car, power, energy-saving and environmental protection owing to be to adopt personalized collocation method, improved competitive power.
Description of drawings
Fig. 1 body structure block diagram of the present invention
Fig. 2 car client requirement quality function deployment matrix diagram
The organization chart of the existing vehicle case library of Fig. 3
Fig. 4 has vehicle Module Division figure
Fig. 5 is based on existing vehicle exemplary configuration process flow diagram
Embodiment
Below in conjunction with accompanying drawing embodiments of the invention are elaborated: present embodiment is being to implement under the prerequisite with the technical solution of the present invention, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
The present invention sets up the entire car personalized configuration system based on the CBR technology, mainly according to market user's demand, utilizes the knowledge of existing vehicle, develops a new model quickly and accurately.Below provide the explanation of embodiment.
As shown in Figure 1, present embodiment comprises three big modules: user's request acquisition module, existing vehicle case library module, based on the configuration module of existing vehicle.The user's request acquisition module obtains user's demand information, and the mode by shining upon, and the structural detail of the information of client's demand characteristic from the trend car shone upon, and obtains the design parameter of zero-mileage car vehicle.Configuration module based on existing vehicle example calls the vehicle design parameter in the demand acquisition module, and be configured retrieval in existing vehicle case library module, generates a new model.Existing vehicle case library module is responsible for the knowledge of the existing vehicle example in the storage and management system, is based on the basis that existing vehicle is configured, and has preserved the information knowledge of all existing vehicles, and has upgraded in time.
Described user's request acquisition module is responsible for obtaining user's demand information, and the client imports personalized demand by the user's request acquisition module.Adopt the form of quality function deployment matrix, shown in 2 figure, various clients' demand is changed into the technical requirement that new model manufactures and designs.After obtaining the specific demand of client, system adopts the XML technology, and the information of client's demand characteristic is shone upon from the structural detail of trend car, facilitates computing machine like this and utilizes configuration rule to carry out intelligent inference.The user's request acquisition module comprises two mapping models, i.e. customer demand and functional expression mapping model and functional expression and structural detail mapping model.
Set up " customer demand-functional expression " and " functional expression-structural detail " two kinds of mapping relations models, its XML document is expressed as follows respectively:
＜! The serial vehicle car load configuration of P-A-" A " configuration customer demand-function mapping relations document--〉
……
<！P-A-1>
＜Name〉" A " serial vehicle＜/Name 〉
<SN>A</SN>
<Mapping>
＜Demand〉power assembly system＜/Demand 〉
<C-Demand>
＜Customer Field〉engine displacement＜/Customer Field 〉
＜Customer Field〉automobile horsepower＜/Customer Field 〉
＜Function Value〉1.8 liters of engines＜/Function Value 〉
</C-Demand>
</Mapping>
<Mapping>
＜Demand〉the body assembly system＜/Demand 〉
<C-Demand>
＜Customer Field〉body dimensions＜/Customer Field 〉
＜Customer Field〉the vehicle body type＜/Customer Field 〉
＜Customer Field〉comfort level＜/Customer Field 〉
＜Function Value〉three railway carriage or compartments six to adjustable slip preventing chair vehicle body＜/Function Value
</C-Demand>
</Mapping>
……
</P-A-1>
Mark＜Demand〉with＜Function Value〉what define is the expression index and the parameter of function, and＜Customer Field 〉,＜Customer Value〉defined customer demand expression index and parameter, their mapping relations then are defined in＜C-Demand〉in.
＜! The serial vehicle car load of P-A-" A " configuration feature expression-structural detail mapping relations document--〉
……
<P-A-2>
＜Name〉" A " serial vehicle＜/Name 〉
<SN>A</SN>
<Mapping>
＜Demand〉power assembly system＜/Demand 〉
<Comp?Value>
＜Function Value〉1.8 liters of engines＜/Function Value 〉
＜Comp Para〉high-power horsepower＜/Comp Para 〉
<Para?Value>1.8L</Para?Value>
</Comp?Value>
</Mapping>
<Mapping>
＜Demand〉the body assembly system＜/Demand 〉
<Comp?Value>
＜Function Value〉three railway carriage or compartments six to adjustable slip preventing chair vehicle body＜/Function Value
＜Comp Para〉big vehicle body type＜/Comp Para 〉
＜Para Value〉three-box type body＜/Para Value 〉
＜Comp Para〉High-grade chair＜/Comp Para 〉
＜Para Value〉six to adjustable slip preventing chair＜/Para Value
</Comp?Value>
</Mapping>
……
</P-A-2>
Mapping relations definition and a last document class seemingly, for example the functional expression parameter be " power assembly system " " high-power horsepower ", then element class and parameter are " 1.8L engine " accordingly.Two kinds of mapping implementation procedures are as follows:
When a kind of car assembly of customer selecting system (as " power assembly system ", " body assembly system "), select client's demand (as to " horsepower is strong " " comfortableness is good ") again.Client's demand information at first is mapped as functional domain parameter (the power assembly system scheme of " engine of big discharge capacity " and the body assembly scheme of " three-box car type and High-grade chair "), map out related elements and parameter thereof (" 1.8L engine " with " three railway carriage or compartments six are to adjustable anti-skidding seat " etc.) then, if there is subordinate's element in these elements, then parameter will be transmitted step by step, thereby infer each element object.If there is the relation of one-to-many, then will carry out the transmission of a plurality of elements and relevant parameter thereof.
Existing vehicle case library module is responsible for the knowledge of the existing vehicle in the storage and management system, and existing vehicle case library module also is responsible for calling various examples and relevant knowledge information.This module comprises three parts: existing vehicle representation of knowledge module, the molded tissue block of existing vehicle knowledge and the memory module of existing vehicle knowledge.
(1) existing vehicle representation of knowledge module adopts a basic constraint satisfaction problem CSP to represent a vehicle example, and promptly a vehicle example can be expressed as a tlv triple.Moble=(title, description, CSP), title wherein: the unique identification that is a vehicle example.Can be the sign of the model of this vehicle as this vehicle example; Descrtption: describe different types of vehicle example text.Dissimilar vehicle case representations the vehicle of different series, adhere to different product families separately.CSP: a CSP comprises the value and the constraint of variable, variable.
(2) molded tissue block of existing vehicle case library is responsible for rationally arranging and organizing the various information knowledges in the existing vehicle case library.The mode of handling is: adopt the tree method for organizing, a vehicle is a tree structure, tree structure branch into its spare part, " leaf " node in the branch is its attached association attributes knowledge.The structure of whole vehicle and attribute information are promptly organized in the mode of tree structure and are exported.
(3) memory module of existing vehicle knowledge, according to the institutional framework in the existing vehicle case library, this module is responsible for example is stored into system.In existing vehicle case library, each spare part all has corresponding spare part number, and is unique, and the phenomenon that does not allow jack per line exists.We the piece number of parts as the spare part of parts number, the car model of existing vehicle as the car load spare part number.The information of not only having preserved existing vehicle and existing parts in the existing vehicle case library has also been preserved some virtual.Virtual spare part number is to adopt serial number, to avoid occurring double sign.Newly-designed vehicle of needs and newly-designed parts have been represented for virtual.It is the product structure of this vehicle that existing vehicle spare part node launches down, and under the new model spare part node, be the spare part of all one-level assembly modules, the spare part of existing existing parts, as: power assembly, gas handling system, exhaust system, brake system or the like.Also there is virtual assembly spare part, as new power assembly, new gas handling system, new exhaust system, new brake system or the like, as shown in Figure 3.
Contact between these three submodules is: at first, be responsible for the information knowledge in the case library is expressed as unified format by existing vehicle example representation of knowledge module; Then, the molded tissue block of existing vehicle case library is responsible for these knowledge by unified presentation format is reasonably arranged; At last, the memory module of existing vehicle example knowledge is responsible for existing vehicle example, and according to certain knowledge representation mode and certain organization arrangement, storage advances to have in the vehicle case library.
Based on the configuration module of existing vehicle example, the responsible demand information that obtains according to the customer demand module, retrieval configures a new model from existing vehicle case library module.Comprise three parts: similarity computing module, configuration flow administration module and new design module.
(1) similarity computing module is responsible for computation requirement information and the direct similarity of example aspects property value.Adopt the similarity valuation functions, be not according to the description of example but determine the similarity of example by numerical evaluation.The priority of final each alternate example is definite by calculating according to matching algorithm.Adopt on the most adjacent matching algorithm each characteristic attribute in the example is all considered as the one dimension of search volume, calculate the similarity of fixed value and interval value, solve based on the problem in the retrieval car load example of client's fuzzy message.
(2) configuration retrieval flow module, the responsible similarity result who draws according to similarity computing module based on the institutional framework of existing vehicle case library, carries out the configuration retrieval based on example.The institutional framework of the existing vehicle case library of vehicle is to adopt tree, as: power assembly system, gas handling system, exhaust system, brake system or the like, as shown in Figure 4.And both preserved the node of existing parts at each layer, and also had virtual spare part simultaneously, virtual spare part is new design service.Configuration retrieval flow based on existing vehicle case library in the system is to retrieve according to the level of tree, is a kind of to pushing up downward retrieval.As shown in Figure 5, at first retrieve the car load example of root node, as vehicle A, vehicle B ..., if existing vehicle satisfies the demands (as vehicle A), then stop retrieval.If existing vehicle can not satisfy the demands, then will enter in the new model structure tree, first order assembly is traveled through retrieval, if there is the assembly example (as power assembly A) that satisfies the demands, then extract this assembly example, if there is the assembly example (as there not being the example that satisfies the demands in the power assembly) that does not satisfy the demands, the next stage that then enters power assembly is retrieved once more.So, up to retrieving all parts, or retrieved till all parts.
(3) new design module is responsible for being configured retrieval in virtual vehicle spare part.Because retrieval is less than the desired spare part of customer demand in the case library, new design module will obtain new design parameter information from similarity computing module, implement the innovative design of spare part.After the new spare part design, the expression mode with tree is added in the new model.
Adopt system of the present invention can save enterprise's design flow of 50% nearly, cost has also descended three one-tenth.Simultaneously, shortened the Time To Market of new model, the construction cycle of a new model of past is 17～23 months, adopts system of the present invention that the Time To Market of new model was shortened in 1 year.
Claims (7)
1, a kind of entire car personalized configuration system based on case illation technology, it is characterized in that, comprise: user's request acquisition module, existing vehicle case library module, based on the configuration module of existing vehicle example, the user's request acquisition module obtains user's demand information, and mode by shining upon, the structural detail of the information of client's demand characteristic from the trend car shone upon, obtain the design parameter of zero-mileage car vehicle; Call vehicle design parameter in the demand acquisition module based on the configuration module of existing vehicle example, and in existing vehicle case library module, be configured retrieval, generate a new model; Existing vehicle case library module is responsible for the knowledge of the existing vehicle example in the storage and management system, is based on the basis that existing vehicle is configured, and has preserved the information knowledge of all existing vehicles, and has upgraded in time.
2, entire car personalized configuration system based on case illation technology according to claim 1, it is characterized in that, described user's request acquisition module is responsible for obtaining user's demand information, the client is by the personalized demand of user's request acquisition module input, system adopts the XML technology, the structural detail of the information of client's demand characteristic from the trend car shone upon, being convenient to computing machine utilizes configuration rule to carry out intelligent inference, the user's request acquisition module comprises two mapping models, be customer demand and functional expression mapping model and functional expression and structural detail mapping model, customer demand and functional expression mapping model are responsible for client's demand is mapped to the functional mode of car, set up getting in touch between demand and the function, set up getting in touch between function and the structural detail by functional expression and structural detail mapping model afterwards, so just realized getting in touch between customer demand and the structural detail.
3, entire car personalized configuration system based on case illation technology according to claim 1, it is characterized in that, described existing this module of vehicle case library module comprises: existing vehicle example representation of knowledge module, the molded tissue block of existing vehicle example and the memory module of existing vehicle example, these three sub-resume module objects all are various information knowledges in the case library, information source is existing vehicle case library, existing vehicle example representation of knowledge module is responsible for the information knowledge in the case library is expressed as unified format, then, the molded tissue block of existing vehicle case library is responsible for these knowledge by unified presentation format is arranged, the memory module of existing vehicle example knowledge is responsible for existing vehicle example at last, according to the knowledge representation mode and the organization arrangement that set, storage advances to have in the vehicle case library.
4, entire car personalized configuration system based on case illation technology according to claim 3, it is characterized in that, described existing vehicle example representation of knowledge module, adopt a basic constraint satisfaction problem CSP to represent an existing vehicle example, be specially: a vehicle example can be expressed as a tlv triple, Moble=(title, description, CSP), wherein title is the unique identification of a vehicle example, the sign of the model of this vehicle as this vehicle example, description describes different types of vehicle example text, dissimilar vehicle case representations the vehicle of different series, adhere to different product families separately, a CSP comprises variable, the value of variable and constraint.
5, the entire car personalized configuration system based on case illation technology according to claim 3, it is characterized in that, the molded tissue block of described existing vehicle case library, be responsible for rationally arranging and organizing the various information knowledges in the existing vehicle case library, the mode of handling is to adopt the tree method for organizing, a vehicle is a tree structure, tree structure branch into its spare part, " leaf " node in the branch is its attached association attributes knowledge, and the structure of whole vehicle and attribute information are promptly organized in the mode of tree structure and exported.
6, the entire car personalized configuration system based on case illation technology according to claim 3, it is characterized in that, the memory module of described existing vehicle example knowledge, according to the institutional framework in the existing vehicle case library, this module is responsible for example is stored into system, the information of not only having preserved existing vehicle and existing parts in the existing vehicle case library, also preserved some virtual, virtual expression needs newly-designed vehicle and newly-designed parts, the parts that promptly existing vehicle case library can not provide.
7, entire car personalized configuration system based on case illation technology according to claim 1, it is characterized in that, described configuration module based on existing vehicle example, comprise three parts: similarity computing module, configuration flow module and new design module, similarity computing module is responsible for computation requirement information and the direct similarity of example aspects property value, adopt the most adjacent matching algorithm that each characteristic attribute in the example is all considered as the one dimension of search volume, draw the similarity of fixed value and interval value, solve based on the problem in the retrieval car load example of client's fuzzy message; Configuration retrieval flow module is responsible for the similarity result that draws according to similarity computing module, institutional framework based on existing vehicle case library, carry out configuration retrieval based on existing vehicle example, the institutional framework of the existing vehicle case library of vehicle is a tree, and both preserved the node of existing parts at each layer, also have simultaneously virtual spare part, virtual spare part is new design service; In existing vehicle example, all retrieve less than the example of meeting customer need, then start new design module, because retrieval is less than the desired spare part of demand in the case library, new design module will obtain new design parameter from similarity computing module, implement the innovative design of spare part, after the new spare part design, the expression mode with tree is added in the new model.
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