CN104572833A - Mapping rule establishing method and device - Google Patents
Mapping rule establishing method and device Download PDFInfo
- Publication number
- CN104572833A CN104572833A CN201410758032.8A CN201410758032A CN104572833A CN 104572833 A CN104572833 A CN 104572833A CN 201410758032 A CN201410758032 A CN 201410758032A CN 104572833 A CN104572833 A CN 104572833A
- Authority
- CN
- China
- Prior art keywords
- item
- mapping ruler
- technical indicator
- requirement
- mapping
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the invention provides a mapping rule establishing method and device. The method comprises the following steps: obtaining at least one requirement item from a requirement meta model; obtaining a technical index item from a technical index database; establishing a mapping rule by using the at least one requirement item and the technical index item, wherein the at least one requirement item is used as an input item of the mapping rule and the technical index item is used as an output item of the mapping rule; storing the mapping rule into a mapping rule database. According to the mapping rule establishing method and device provided by the embodiment of the invention, the mapping rule between a requirement and a technical index can be established; when a novel vehicle type needs to be developed, a suitable mapping rule can be selected according to development requirements and a technical index sample is generated based on the mapping rule. Therefore, a phenomenon of repeated development in a train development process can be avoided, the development efficiency is improved, and development resources are saved.
Description
Technical field
The present invention relates to communication technical field, be specifically related to a kind of mapping ruler creation method and device.
Background technology
In existing bullet train performance history, after Vehicle manufacturers receives order, need artificially the technical indicator of order to be decomposed each component module, e.g., carrying component, traveling component, power component, etc.After decomposition like this, then by the designer of research and development department corresponding to each component, according to the design experiences of self, develop the vehicle meeting and decompose the requirement of the technical indicator of this component.
Existing bullet train performance history, when there being new development task, Vehicle manufacturers all can re-start the exploitation of new model, and development efficiency is low, wastes the resources such as a large amount of human and material resources, financial resources.
Summary of the invention
The mapping ruler creation method of the embodiment of the present invention and device, contribute to by the mapping ruler between establishment demand and technical indicator, improve the development efficiency of new model, saving is exploited natural resources.
For this reason, the embodiment of the present invention provides following technical scheme:
A kind of mapping ruler creation method, described method comprises:
At least one requirement item is obtained from demand meta-model;
A technical indicator item is obtained from technology index data storehouse;
Utilize at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler;
Described mapping ruler is stored to mapping rules database.
Alternatively, described method also comprises:
If described input item and/or described output item change, upgrade described mapping ruler.
Alternatively, described demand meta-model is presented as that demand metamodel structure is set, and described method also comprises:
Obtain the position of at least one requirement item described in described demand metamodel structure tree;
Described position is defined as the position of described mapping ruler, builds mapping ruler structure tree.
Alternatively, described method also comprises:
From described mapping ruler structure tree, obtain specified structure, described specified structure comprises at least one appointment mapping ruler;
From described demand metamodel structure tree, obtain at least one specific needs item that described specified structure is corresponding;
Judge whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches;
If described appointment mapping ruler comprises described first mapping ruler, obtain the first parameter value that described first requirement item is corresponding;
Based on described first mapping ruler, utilize the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generate the first technical indicator example.
Alternatively, described method also comprises:
If the output item of described appointment mapping ruler to there being a technical indicator example, then exports described technical indicator example;
If the output item of described appointment mapping ruler is to there being at least two technical indicator examples, then from described at least two technical indicator examples, choose one, and export the technical indicator example selected;
If the not corresponding technical indicator example of the output item of described appointment mapping ruler, then in response to assignment request, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
A kind of mapping ruler creation apparatus, described device comprises:
Requirement item acquiring unit, for obtaining at least one requirement item from demand meta-model;
Technical indicator item acquiring unit, for obtaining a technical indicator item from technology index data storehouse;
Set up unit, for utilizing at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler;
Storage unit, for being stored to mapping rules database by the described mapping ruler setting up unit foundation.
Alternatively, described device also comprises:
Updating block, for when described input item and/or described output item change, upgrades described mapping ruler.
Alternatively, described demand meta-model is presented as that demand metamodel structure is set, and described device also comprises:
Position acquisition unit, for obtaining the position of at least one requirement item described in described demand metamodel structure tree;
Construction unit, the position for being obtained by described position acquisition unit is defined as the position of described mapping ruler, builds mapping ruler structure tree.
Alternatively, described device also comprises:
Specified structure obtains unit, and for obtaining specified structure from described mapping ruler structure tree, described specified structure comprises at least one appointment mapping ruler;
Specific needs item obtains unit, for from described demand metamodel structure tree, obtains at least one specific needs item that described specified structure is corresponding;
Judging unit, for judging whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches;
Parameter value obtains unit, for when described appointment mapping ruler comprises described first mapping ruler, obtains the first parameter value that described first requirement item is corresponding;
Generation unit, for based on described first mapping ruler, utilizes the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generates the first technical indicator example.
Alternatively, described device also comprises:
First output unit, in the output item of described appointment mapping ruler to when should have a technical indicator example, export described technical indicator example;
Second output unit, in the output item of described appointment mapping ruler to when should have at least two technical indicator examples, from described at least two technical indicator example, choose one, and export the technical indicator example selected;
3rd output unit, for when the not corresponding technical indicator example of the output item of described appointment mapping ruler, in response to assignment request, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
The mapping ruler creation method of the embodiment of the present invention and device, can set up the mapping ruler between demand and technical indicator, so, when needs carry out new car model development, just according to development requirement, suitable mapping ruler can be selected, and based on mapping ruler generation technique index example.Like this, just can avoid the phenomenon of overlapping development in train performance history, contribute to improving development efficiency, saving is exploited natural resources.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present application, below the accompanying drawing used required in describing embodiment is briefly described, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the application, for those of ordinary skill in the art, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the process flow diagram of embodiment of the present invention mapping ruler creation method;
Fig. 2 is the process flow diagram of embodiment of the present invention generation technique index example;
Fig. 3 is the schematic diagram of embodiment of the present invention mapping ruler creation apparatus.
Embodiment
In order to make those skilled in the art person understand the present invention program better, below in conjunction with drawings and embodiments, the embodiment of the present invention is described in further detail.
See Fig. 1, show the process flow diagram of embodiment of the present invention mapping ruler creation method, can comprise:
101, from demand meta-model, obtain at least one requirement item.
102, from technology index data storehouse, obtain a technical indicator item.
103, utilize at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler.
104, described mapping ruler is stored to mapping rules database.
When prior art carries out bullet train exploitation, do not consider the mapping ruler between demand and technical indicator, so, when there being new development task, Vehicle manufacturers all can re-start the exploitation of new model.The embodiment of the present invention is intended to the mapping ruler set up between demand and technical indicator.So, when carrying out new car model development, just according to development requirement, suitable mapping ruler can be selected, and based on mapping ruler generation technique index example.Like this, just can avoid the phenomenon of overlapping development in train performance history, contribute to improving development efficiency, saving is exploited natural resources.
It should be noted that, it is abstract that the meta-model in the embodiment of the present invention refers to the various objects that pedigree bullet train comprises.Meta-model defines description and the method for operating of regulation model, and be the abstract mapping that a kind of computing machine describes, understandably, meta-model is the abstract of model.
The embodiment of the present invention, when creating mapping ruler, relates to following three aspect data:
(1) requirement item
In the embodiment of the present invention, at least one requirement item can be obtained from demand meta-model.Usually, demand can be presented as the various requirement of vehicle demand fulfillment, at least can comprise functional requirement, performance requirement, topology requirement etc., and the embodiment of the present invention can be not specifically limited this.
It should be noted that, demand meta-model can be the demand data according to vehicle, to search to obtain from demand metamodel data storehouse; Or also can be the demand data according to vehicle, establishment obtains, and the embodiment of the present invention can be not specifically limited this.In the embodiment of the present invention, demand data refers to the data relevant to bullet train product development demand.Particularly, demand data at least can comprise: at least one in requirement item title, requirements type, requirements scope, demand remarks.In addition, demand data also can comprise categorical attribute, particularly, categorical attribute at least can be presented as following three kinds: (1) subject demands, i.e. environmental demand and/or road network demand, (2) crucial requirement, i.e. topology requirement and/or performance requirement, (3) passenger demand, i.e. functional requirement.
(2) technical indicator item
In the embodiment of the present invention, a technical indicator item can be obtained from technology index data storehouse.The elementary object that the design that technical indicator refers to vehicle should reach, at least can comprise functional parameter, performance index, structure index, behavioral indicator etc., the embodiment of the present invention can be not specifically limited this.
Understandably, the technical indicator of bullet train is to adapt to design conditions that various demand should reach or designing requirement.This demand can come from the various requirement that passenger, operator, environmental baseline, research staff, supplier etc. propose, demand can be formed and retrain the multi-dimensional design of bullet train research and development of products, define the technical indicator that bullet train should reach under this constraint, form the technical indicator expressing bullet train function, performance and behavior.
(3) mapping relations
In the embodiment of the present invention, mapping ruler realizes the basis that bullet train development requirement changes to technical indicator, can based on bullet train development requirement, corresponding mapping ruler is selected from mapping rules database, and then be at least one technical indicator example by demand meta-model instance transfer, realize the exploitation of new model.
Mapping relations can be understood as, the mapping relations between the input item of mapping ruler and output item.In the embodiment of the present invention, mapping relations can be presented as funtcional relationship or statistical relationship.Wherein, funtcional relationship can be at least one in mathematical operation, relational calculus, rule function computing.For example, mathematical operation can be "+", "-", " * ", "/", " cos " etc., relational calculus can be "=", " < ", " > ", " () ", " [] ", " { } " etc., and rule function can be " Max () ", " Min () " etc.Statistical relationship can be the experimental knowledge of designer, the regulation, emulated data etc. of relevant criterion.
As a kind of example, the mapping ruler in the embodiment of the present invention can be presented as following three classes:
The first kind, direct mapping ruler.That is, the funtcional relationship between input item and output item is "=", and that is, the requirement item in mapping ruler is identical with technical indicator item.If represent requirement item with X, with Y presentation technology index item, then mapping ruler can be expressed as Y=X.In directly mapping, requirement item has dual nature, that is, requirement item both belonged to desired content, belongs to again technical indicator content.
Equations of The Second Kind, Function Mapping rule.That is, the funtcional relationship between input item and output item is other funtcional relationship outside "=".If represent requirement item with X, with Y presentation technology index item, then mapping ruler can be expressed as Y=f (X
1, X
2..., X
k).
3rd class, Knowledge Mapping rule.That is, there is not clear and definite funtcional relationship between input item and output item, but can empirical statistics be utilized, set up rigid association therebetween.
It should be noted that, input item and output item one_to_one corresponding in Knowledge Mapping rule, and all with parameter value.In certain situation, the requirement item in different mappings rule or technical indicator item are identical, but the parameter value of correspondence is same scarcely.Such as, same requirement item may to there being a parameter value, and same technical indicator item may to there being b parameter value, as in the case, even if the requirement item that comprises of Knowledge Mapping rule or technical indicator item identical, but also belong to different Knowledge Mapping rules.Wherein, a and b be not less than 2 positive integer.
So, just can set up the mapping relations between at least one requirement item and a technical indicator item, obtain corresponding mapping ruler, and be stored in mapping rules database.Like this, when carrying out new car model development, just requirement item corresponding to new model can be obtained, and the requirement item utilizing new model corresponding, mate the mapping ruler in mapping rules database one by one, if there is the mapping ruler that the requirement item corresponding with new model matches, then can based on the mapping ruler of described coupling, generation technique index example.To the introduction of technical indicator example, can vide infra embodiment illustrated in fig. 2, wouldn't describe in detail herein.
It should be noted that, can according to first obtaining requirement item acquiring technology index item again shown in Fig. 1, or, also can obtain requirement item again by first acquiring technology index item, or also can obtain two aspect data, the embodiment of the present invention can be not specifically limited to this simultaneously.
Alternatively, if described input item and/or described output item change, also renewable described mapping ruler.That is, when the data creating mapping ruler change, the mapping ruler preserved in the mapping rules database that can upgrade in time, to ensure the correctness of the mapping ruler in mapping rules database.In the present embodiment, renewal mapping ruler can be understood as any one in increase, deletion, amendment.It should be noted that, upgrade mapping ruler and do not affect the technical indicator example generated, only can affect the technical indicator example that follow-up use mapping ruler generates.To the introduction of technical indicator example, can vide infra embodiment illustrated in fig. 2, wouldn't describe in detail herein.
Alternatively, the embodiment of the present invention also can carry out visual display to mapping ruler, particularly, can receive the inquiry request of designer's input, search appointment mapping ruler from described mapping rules database; Show described appointment mapping ruler.For example, can requirement item be comprised in inquiry request, that is, utilize mapping rules database, the appointment mapping ruler corresponding to described requirement item, carry out statistics display.Or, technical indicator item can be comprised in inquiry request, that is, utilize mapping rules database, to the appointment mapping ruler of described technical indicator item correspondence, carry out statistics display.Or, if based on the structure tree data of vehicle, many the mapping rulers utilizing described vehicle corresponding generate mapping ruler structure tree, then can comprise specified structure or assigned address in inquiry request, namely, utilize mapping rules database, to described specified structure or appointment mapping ruler corresponding to assigned address, carry out statistics display.Or, also can record every bar mapping ruler in mapping rules database and be mated the number of times of generation technique index example, then can comprise access times or frequency of utilization in inquiry request, namely, utilize mapping rules database, to described access times or appointment mapping ruler corresponding to frequency of utilization, carry out statistics display.
It should be noted that, the appointment mapping ruler found can structure tree form show, and also can show by tabular form, the embodiment of the present invention can be not specifically limited this.Alternatively, also the appointment mapping ruler found can be generated document or report output, the embodiment of the present invention also can be not specifically limited this.
It should be noted that, in the embodiment of the present invention, the structure tree of vehicle refers to the structure dendrogram describing the physical composition parts of a certain vehicle and the level of each building block.The structure tree data of vehicle mainly comprise following two class data: a class is hierarchical data, expression be the hierarchical information of each building block in vehicle structure tree; One class is topological data, expression be mutual relationship in vehicle structure tree between the information of each building block and each building block.For example, the structure tree data of vehicle at least can comprise: at least one in level title, father node title, child node title, structure description information.For example, the structure tree data of vehicle can be stored in structure tree database, and when needed, read the structure tree data of associated vehicle from structure tree database.
As above introduce, can based on the structure tree data of vehicle, build the mapping ruler structure tree of vehicle.Or, also can build mapping ruler structure tree in such a way: if demand meta-model is presented as that demand metamodel structure is set, then can obtain the position of at least one requirement item described in described demand metamodel structure tree; Described position is defined as the position of described mapping ruler, builds and set corresponding mapping ruler structure tree with described demand metamodel structure.
Based on mapping ruler structure tree, the embodiment of the present invention additionally provides the implementation of following generation technique index example, see Fig. 2, shows the process flow diagram of generation technique index example, can comprise:
201, from described mapping ruler structure tree, obtain specified structure, described specified structure comprises at least one appointment mapping ruler.
202, from described demand metamodel structure tree, obtain at least one specific needs item that described specified structure is corresponding.
203, judge whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches.
204, if described appointment mapping ruler comprises described first mapping ruler, obtain the first parameter value that described first requirement item is corresponding.
205, based on described first mapping ruler, utilize the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generate the first technical indicator example.
Determine after needing to carry out the specified structure mapped, following two aspect data can be obtained: first aspect, from mapping ruler structure tree, obtain at least one appointment mapping ruler that described specified structure is corresponding, from type, described appointment mapping ruler can be that direct mapping ruler, Function Mapping rule and Knowledge Mapping are regular.Second aspect, from demand metamodel structure tree, obtains at least one specific needs item that described specified structure is corresponding.It should be noted that, specified structure can be presented as the component of vehicle, and the component of vehicle at least can comprise carrying component, walking component, power component, etc.
Described specific needs item is utilized to mate the input item of described appointment mapping ruler one by one, determine whether there is the first mapping ruler in described appointment mapping ruler, namely, determine in described appointment mapping ruler, whether there is the mapping ruler that can mate with at least one first requirement item in described specific needs item.If there is the first mapping ruler, then obtain the first parameter value that the first requirement item is corresponding, and utilize described parameter value to carry out assignment operation to the output item of the first mapping ruler, generate the first technical indicator example.
For example, if the type of the first mapping ruler is direct mapping ruler, then can directly by the first corresponding for the first requirement item parameter value, assignment gives the output item of the first mapping ruler, generates the first technical indicator example.If the type of the first mapping ruler is Function Mapping rule, then can according to Y=f (X
1, X
2..., X
k), utilize the first parameter value that each the first requirement item matched is corresponding, calculate aggregate parameter value, and give the output item of the first mapping ruler by aggregate parameter value assignment, generate the first technical indicator example.If the type of the first mapping ruler is Knowledge Mapping rule, after then utilizing the first requirement item and the first parameter value to match the first mapping ruler, the parameter that the output item of the first mapping ruler is corresponding can be utilized, assignment process is carried out to described output item, generate the first technical indicator example, that is, the first technical indicator example is the output item example in the first mapping ruler.
Alternatively, the technical indicator example of generation also can be carried out output display by the embodiment of the present invention.Concrete processing procedure can be presented as: obtain the output item that every bar specifies mapping ruler, obtain the set of technical indicator item, comparison is one by one carried out to the technical indicator item in the technical indicator example generated and the set of described technical indicator item, judge that whether each technical indicator item is to there being a technical indicator example, if so, then described technical indicator example is exported; If not, then following process is done:
Determine the relation for one-to-many between technical indicator item and technical indicator example, that is, a technical indicator item is to there being at least two technical indicator examples, corresponding to this, can choose an output from least two technical indicator examples.It should be noted that, if described at least two technical indicator examples are identical, the parameter value used when namely carrying out assignment operation is identical, then can be one by described at least two technical indicator case combinations, and is exported by the technical indicator example after merging.If described at least two technical indicator examples are different, the parameter value used when namely carrying out assignment operation is different, then therefrom can choose a technical indicator example according to the actual requirements and export.
Determine that technical indicator Xiang Wei carries out assignment operation, namely, there is not the technical indicator example corresponding with technical indicator item, corresponding to this, the assignment request of designer's input can be received, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
By above-mentioned process, every bar that specified structure can be utilized to comprise specifies mapping ruler, generate a corresponding technical indicator example, so, when new car model development, just can utilize the technical indicator example of described correspondence, realize the exploitation at the specified structure place to described new model, contribute to the development efficiency improving new model, saving is exploited natural resources.
Corresponding to embodiment of the method shown in Fig. 1, the embodiment of the present invention additionally provides a kind of mapping ruler creation apparatus, and see Fig. 3, show the schematic diagram of embodiment of the present invention mapping ruler creation apparatus, described device comprises:
Requirement item acquiring unit 301, for obtaining at least one requirement item from demand meta-model;
Technical indicator item acquiring unit 302, for obtaining a technical indicator item from technology index data storehouse;
Set up unit 303, for utilizing at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler;
Storage unit 304, for being stored to mapping rules database by the described mapping ruler setting up unit foundation.
Alternatively, described device also comprises: updating block, for when described input item and/or described output item change, upgrades described mapping ruler.
Alternatively, described device also comprises: query unit, in response to inquiry request, searches appointment mapping ruler from described mapping rules database; Show described appointment mapping ruler.
Alternatively, described demand meta-model is presented as that demand metamodel structure is set, and described device also comprises:
Position acquisition unit, for obtaining the position of at least one requirement item described in described demand metamodel structure tree;
Construction unit, the position for being obtained by described position acquisition unit is defined as the position of described mapping ruler, builds mapping ruler structure tree.
Alternatively, described device also comprises:
Specified structure obtains unit, and for obtaining specified structure from described mapping ruler structure tree, described specified structure comprises at least one appointment mapping ruler;
Specific needs item obtains unit, for from described demand metamodel structure tree, obtains at least one specific needs item that described specified structure is corresponding;
Judging unit, for judging whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches;
Parameter value obtains unit, for when described appointment mapping ruler comprises described first mapping ruler, obtains the first parameter value that described first requirement item is corresponding;
Generation unit, for based on described first mapping ruler, utilizes the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generates the first technical indicator example.
Alternatively, described device also comprises:
First output unit, in the output item of described appointment mapping ruler to when should have a technical indicator example, export described technical indicator example;
Second output unit, in the output item of described appointment mapping ruler to when should have at least two technical indicator examples, from described at least two technical indicator example, choose one, and export the technical indicator example selected;
3rd output unit, for when the not corresponding technical indicator example of the output item of described appointment mapping ruler, in response to assignment request, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Device embodiment described above is only schematic, the unit wherein illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
The above is only Alternate embodiments of the present invention, is not intended to limit protection scope of the present invention.It should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. a mapping ruler creation method, is characterized in that, described method comprises:
At least one requirement item is obtained from demand meta-model;
A technical indicator item is obtained from technology index data storehouse;
Utilize at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler;
Described mapping ruler is stored to mapping rules database.
2. method according to claim 1, is characterized in that, described method also comprises:
If described input item and/or described output item change, upgrade described mapping ruler.
3. method according to claim 1 and 2, is characterized in that, described demand meta-model is presented as that demand metamodel structure is set, and described method also comprises:
Obtain the position of at least one requirement item described in described demand metamodel structure tree;
Described position is defined as the position of described mapping ruler, builds mapping ruler structure tree.
4. method according to claim 3, is characterized in that, described method also comprises:
From described mapping ruler structure tree, obtain specified structure, described specified structure comprises at least one appointment mapping ruler;
From described demand metamodel structure tree, obtain at least one specific needs item that described specified structure is corresponding;
Judge whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches;
If described appointment mapping ruler comprises described first mapping ruler, obtain the first parameter value that described first requirement item is corresponding;
Based on described first mapping ruler, utilize the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generate the first technical indicator example.
5. method according to claim 4, is characterized in that, described method also comprises:
If the output item of described appointment mapping ruler to there being a technical indicator example, then exports described technical indicator example;
If the output item of described appointment mapping ruler is to there being at least two technical indicator examples, then from described at least two technical indicator examples, choose one, and export the technical indicator example selected;
If the not corresponding technical indicator example of the output item of described appointment mapping ruler, then in response to assignment request, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
6. a mapping ruler creation apparatus, is characterized in that, described device comprises:
Requirement item acquiring unit, for obtaining at least one requirement item from demand meta-model;
Technical indicator item acquiring unit, for obtaining a technical indicator item from technology index data storehouse;
Set up unit, for utilizing at least one requirement item described and described technical indicator item, set up mapping ruler, at least one requirement item described is as the input item of described mapping ruler, and described technical indicator item is as the output item of described mapping ruler;
Storage unit, for being stored to mapping rules database by the described mapping ruler setting up unit foundation.
7. device according to claim 6, is characterized in that, described device also comprises:
Updating block, for when described input item and/or described output item change, upgrades described mapping ruler.
8. the device according to claim 6 or 7, is characterized in that, described demand meta-model is presented as that demand metamodel structure is set, and described device also comprises:
Position acquisition unit, for obtaining the position of at least one requirement item described in described demand metamodel structure tree;
Construction unit, the position for being obtained by described position acquisition unit is defined as the position of described mapping ruler, builds mapping ruler structure tree.
9. device according to claim 8, is characterized in that, described device also comprises:
Specified structure obtains unit, and for obtaining specified structure from described mapping ruler structure tree, described specified structure comprises at least one appointment mapping ruler;
Specific needs item obtains unit, for from described demand metamodel structure tree, obtains at least one specific needs item that described specified structure is corresponding;
Judging unit, for judging whether comprise the first mapping ruler in described appointment mapping ruler, at least one first requirement item in the input item of described first mapping ruler and described specific needs item matches;
Parameter value obtains unit, for when described appointment mapping ruler comprises described first mapping ruler, obtains the first parameter value that described first requirement item is corresponding;
Generation unit, for based on described first mapping ruler, utilizes the output item of described first parameter value to described first mapping ruler to carry out assignment operation, generates the first technical indicator example.
10. device according to claim 9, is characterized in that, described device also comprises:
First output unit, in the output item of described appointment mapping ruler to when should have a technical indicator example, export described technical indicator example;
Second output unit, in the output item of described appointment mapping ruler to when should have at least two technical indicator examples, from described at least two technical indicator example, choose one, and export the technical indicator example selected;
3rd output unit, for when the not corresponding technical indicator example of the output item of described appointment mapping ruler, in response to assignment request, utilize the designated parameter value in described assignment request to carry out assignment operation to described output item, generation technique index example also exports.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410758032.8A CN104572833B (en) | 2014-12-10 | 2014-12-10 | A kind of mapping ruler creation method and device |
| JP2017509701A JP6546653B2 (en) | 2014-12-10 | 2015-11-05 | Method and apparatus for creating mapping rule |
| PCT/CN2015/093841 WO2016091039A1 (en) | 2014-12-10 | 2015-11-05 | Mapping rule creating method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410758032.8A CN104572833B (en) | 2014-12-10 | 2014-12-10 | A kind of mapping ruler creation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104572833A true CN104572833A (en) | 2015-04-29 |
| CN104572833B CN104572833B (en) | 2019-01-29 |
Family
ID=53088895
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410758032.8A Active CN104572833B (en) | 2014-12-10 | 2014-12-10 | A kind of mapping ruler creation method and device |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP6546653B2 (en) |
| CN (1) | CN104572833B (en) |
| WO (1) | WO2016091039A1 (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104978411A (en) * | 2015-06-23 | 2015-10-14 | 南车青岛四方机车车辆股份有限公司 | Train model development method and apparatus for high-speed train |
| CN105224712A (en) * | 2015-06-29 | 2016-01-06 | 南车青岛四方机车车辆股份有限公司 | A kind of disposal route of bullet train product meta-model and device |
| CN105404956A (en) * | 2015-10-28 | 2016-03-16 | 南车青岛四方机车车辆股份有限公司 | Vehicle technical index acquisition method and device |
| WO2016091039A1 (en) * | 2014-12-10 | 2016-06-16 | 中车青岛四方机车车辆股份有限公司 | Mapping rule creating method and apparatus |
| WO2016091037A1 (en) * | 2014-12-10 | 2016-06-16 | 中车青岛四方机车车辆股份有限公司 | Method and device for generating technical index instance |
| CN109724810A (en) * | 2018-12-13 | 2019-05-07 | 斑马网络技术有限公司 | The information processing method and device of real vehicle simulator |
| CN110308895A (en) * | 2019-06-26 | 2019-10-08 | 北京信普飞科科技有限公司 | The project development method that Project Development Platform and application item development platform are carried out |
| CN111831690A (en) * | 2019-04-23 | 2020-10-27 | 上海汽车集团股份有限公司 | Vehicle configuration management method and device and server |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818593B (en) * | 2021-01-22 | 2023-07-14 | 中车工业研究院有限公司 | Product configuration method and device based on modularized design |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093517A (en) * | 2006-06-22 | 2007-12-26 | 上海海事大学 | Design system for product configuration |
| CN101246509A (en) * | 2008-02-28 | 2008-08-20 | 上海交通大学 | Entire car personalized configuration system based on case illation technology |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008124038A1 (en) * | 2007-04-03 | 2008-10-16 | Ldra Technology, Inc. | Automated management of software requirements verification |
| CN101540012A (en) * | 2008-03-17 | 2009-09-23 | 亿维讯软件（北京）有限公司 | System and method for controlling researching and developing quality of product |
| CN103092960A (en) * | 2013-01-18 | 2013-05-08 | 杭州电子科技大学 | Method for building software product feature tree model based on demand cluster |
| CN104572833B (en) * | 2014-12-10 | 2019-01-29 | 中车青岛四方机车车辆股份有限公司 | A kind of mapping ruler creation method and device |
-
2014
- 2014-12-10 CN CN201410758032.8A patent/CN104572833B/en active Active
-
2015
- 2015-11-05 JP JP2017509701A patent/JP6546653B2/en active Active
- 2015-11-05 WO PCT/CN2015/093841 patent/WO2016091039A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093517A (en) * | 2006-06-22 | 2007-12-26 | 上海海事大学 | Design system for product configuration |
| CN101246509A (en) * | 2008-02-28 | 2008-08-20 | 上海交通大学 | Entire car personalized configuration system based on case illation technology |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016091039A1 (en) * | 2014-12-10 | 2016-06-16 | 中车青岛四方机车车辆股份有限公司 | Mapping rule creating method and apparatus |
| WO2016091037A1 (en) * | 2014-12-10 | 2016-06-16 | 中车青岛四方机车车辆股份有限公司 | Method and device for generating technical index instance |
| CN104978411A (en) * | 2015-06-23 | 2015-10-14 | 南车青岛四方机车车辆股份有限公司 | Train model development method and apparatus for high-speed train |
| CN105224712A (en) * | 2015-06-29 | 2016-01-06 | 南车青岛四方机车车辆股份有限公司 | A kind of disposal route of bullet train product meta-model and device |
| CN105224712B (en) * | 2015-06-29 | 2019-01-11 | 中车青岛四方机车车辆股份有限公司 | A kind of processing method and processing device of bullet train product meta-model |
| CN105404956A (en) * | 2015-10-28 | 2016-03-16 | 南车青岛四方机车车辆股份有限公司 | Vehicle technical index acquisition method and device |
| CN109724810A (en) * | 2018-12-13 | 2019-05-07 | 斑马网络技术有限公司 | The information processing method and device of real vehicle simulator |
| CN111831690A (en) * | 2019-04-23 | 2020-10-27 | 上海汽车集团股份有限公司 | Vehicle configuration management method and device and server |
| CN110308895A (en) * | 2019-06-26 | 2019-10-08 | 北京信普飞科科技有限公司 | The project development method that Project Development Platform and application item development platform are carried out |
| CN110308895B (en) * | 2019-06-26 | 2023-03-24 | 北京信普飞科科技有限公司 | Project development platform and project development method performed by application project development platform |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016091039A1 (en) | 2016-06-16 |
| JP2017536591A (en) | 2017-12-07 |
| CN104572833B (en) | 2019-01-29 |
| JP6546653B2 (en) | 2019-07-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104572833A (en) | Mapping rule establishing method and device | |
| CN102033748B (en) | Method for generating data processing flow codes | |
| CN104572831A (en) | Processing method and processing device of demand data of high speed train | |
| CN107506393B (en) | Agricultural big data model and application thereof in agriculture | |
| CN105210058A (en) | Graph query processing using plurality of engines | |
| CN103488537A (en) | Method and device for executing data ETL (Extraction, Transformation and Loading) | |
| JP6345873B2 (en) | Method and apparatus for building a demand metamodel for high-speed trains | |
| CN103116625A (en) | Volume radio direction finde (RDF) data distribution type query processing method based on Hadoop | |
| CN102930389A (en) | Product design knowledge management method and system | |
| US20200097487A1 (en) | Novel olap pre-calculation model and modeling method | |
| CN104573915A (en) | Method and device for constructing high-speed train product structure tree | |
| CN104572832B (en) | A kind of demand meta-model construction method and device | |
| CN103019728A (en) | Effective complex report parsing engine and parsing method thereof | |
| WO2015094269A1 (en) | Hybrid flows containing a continuous flow | |
| CN104978411A (en) | Train model development method and apparatus for high-speed train | |
| CN104573185A (en) | Processing method and processing device for technical indexes of high speed train | |
| CN104834557A (en) | Data analysis method based on Hadoop | |
| CN101901265A (en) | Objectification management system of virtual test data | |
| CN102722368B (en) | Plug-in software designing method based on document tree and message pump | |
| CN104573184A (en) | Construction method and construction device for high speed train product meta-model | |
| CN102508971B (en) | Method for establishing product function model in concept design stage | |
| CN117669046A (en) | Data integration method and system for intelligent decision of automobile assembly process | |
| CN104573916A (en) | Technical index instance generation method and device | |
| CN113722564A (en) | Visualization method and device for energy and material supply chain based on space map convolution | |
| CN105468813A (en) | Design method and system for high-speed train technical specification system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: Chengyang District of Shandong city of Qingdao province Jinhong road 266111 No. 88 Applicant after: CRRC QINGDAO SIFANG CO., LTD. Address before: Chengyang District of Shandong city of Qingdao province Jinhong road 266111 No. 88 Applicant before: CSR Qingdao Sifang Locomotive and Rolling Stock Co., Ltd. |
|
| COR | Change of bibliographic data | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |