CN105224712A - A kind of disposal route of bullet train product meta-model and device - Google Patents
A kind of disposal route of bullet train product meta-model and device Download PDFInfo
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Abstract
The invention provides a kind of bullet train product meta-model disposal route and device, described method comprises: set up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates; Read bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information; Judge whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, show described product meta-model and hierarchical information thereof and dependency information.The program can be avoided repeating to set up product meta-model, and the foundation of product meta-model can not be omitted, meanwhile, the hierarchical relationship in bullet train structure tree can be inherited, avoid the confusion of product meta-model level, can directly according to demand data obtain accurately and unique corresponding products in kind.
Description
This application claims and submitted on 06 29th, 2015 the right of priority that Patent Office of the People's Republic of China, application number are 201510368192.6, denomination of invention is the Chinese patent application of " a kind of disposal route of bullet train product data and device " to.
Technical field
The present invention relates to data processing field, especially relate to a kind of disposal route and device of bullet train product meta-model.
Background technology
In existing bullet train exploitation, after Vehicle manufacturers receives order, need artificially to decompose the train demand of order, decompose each component module, as carried component, walking component and car body component etc., research and development department's data according to demand that each component is corresponding afterwards, in conjunction with the design experiences of oneself, design the vehicle meeting technical requirement.Wherein demand data comprises multiple different type, is greater than 250KM/H, meets and run etc. at low ambient temperatures as demand one saves design 100 cattle cars or 75 first-class seats, train running speeds in compartment.These demands corresponding, when research staff directly can obtain quantity and the grade of design inner seat position, compartment or be met car speed by conversion, the power of vehicle and weight indicator, or the air-conditioning quantity etc. rule of thumb setting train.
The design of train, current major part is not completely again develop new product.Current vehicular manufacturer's major part has had more research and development finished product (as 380A etc.).In new research and development of products, existing pattern still needs, by after the fractionation of the demand order of car load, to transfer to each department independently to research and develop.
Therefore, there is a large amount of repetition R&D works.As the seat in motor-car vehicle or air-conditioning window are arranged, can without the need to change (or less change) be transplanted in high ferro vehicle, in research and development high ferro product process, without the need to repeating to research and develop the setting of seat and air-conditioning in vehicle, window again, can directly utilize existing product set-up mode and parameter.Thus emphasis development resources is used for the obvious assemblies of difference such as power.Known above, in the exploitation of existing train, the cost of a large amount of manpowers, time and fund can be wasted, inefficiency, and error probability is comparatively large, cannot meet the demand of rapidly and efficiently carrying out vehicle research and development and manufacturing.
For this reason, the product that train adopts can be selected to carry out numerical modeling, by setting up product meta-model, the Data Matching of demand to product can be realized, if coupling, then directly can adopt Related product, develop without the need to design iterations.But, in bullet train, involved product category is very numerous and diverse, and there is directly corresponding hierarchical relationship etc. with body construction, therefore by setting up the method for product meta-model, exist and the foundation of the meta-model set up different meta-model or omit product or the level confusion of product meta-model are repeated to like products, easily cause in subsequent development, correct corresponding products in kind cannot be obtained.
Summary of the invention
The object that the present invention solves is the disposal route and the device that provide a kind of bullet train product meta-model, thus can realize ensureing the uniqueness of product meta-model, accuracy and comprehensive, make its level and train entity one_to_one corresponding, solve the defect that cannot obtain correct products in kind in subsequent development.
For this reason, the technical scheme of technical solution problem of the present invention is:
A disposal route for bullet train product meta-model, comprising:
Set up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
Read bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information;
Judge whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, show described product meta-model and hierarchical information thereof and dependency information.
Preferably, the disposal route of described product meta-model, also comprises:
When the product object in product meta-model and described structure tree does not mate, keep the Information invariability of described node, revise described product meta-model.
Preferably, the disposal route of described product meta-model, also comprises:
Receive the product object of input, property parameters or related information;
Retrieve the product meta-model shown in described structure tree, and show result for retrieval.
Preferably, the disposal route of described product meta-model, also comprises:
According to the parameter of the first product, assignment is carried out to product meta-model, obtain the first product example;
Revise described product meta-model, and according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example;
Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
Preferably, the disposal route of described product meta-model, also comprises:
Export showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or export analogue system or production system to.
Corresponding to said method, present invention also provides a kind for the treatment of apparatus of bullet train product meta-model, comprising:
Product meta-model sets up module, and for setting up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
Structure tree read module, for reading bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information;
Coupling display module, for judging whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, shows described product meta-model and hierarchical information thereof and dependency information.
Preferably, the treating apparatus of described product meta-model, also comprises:
Product meta-model modified module, for when the product object in product meta-model and described structure tree does not mate, keeps the node belonging to the product object in described structure tree constant, revises described product meta-model.
Preferably, the treating apparatus of described product meta-model, also comprises:
Retrieval module, for receiving the product object of input, property parameters or related information, and retrieves the product meta-model shown in described structure tree, display result for retrieval.
Preferably, the treating apparatus of described product meta-model, also comprises:
Instantiation module, for the parameter according to the first product, assignment is carried out to product meta-model, obtain the first product example, and when after the described product meta-model of amendment, according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example;
Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
Preferably, the treating apparatus of described product meta-model, also comprises:
Output module, for exporting showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or exports analogue system or production system to.
Known by technique scheme, because bullet train structure tree is the maximum intersection of the product used in all bullet trains, and use in bullet train all grade product all can in structure tree corresponding unique node.Therefore, by adopting said method and device in the present invention, product meta-model mates with the carrying out of described bullet train structure tree node and shows, can obtain the maximum product meta-model collection of the product used in bullet train, and wherein product meta-model is direct one_to_one corresponding with entity products, can avoid repeating to set up product meta-model, and the foundation of product meta-model can not be omitted, meanwhile, the hierarchical relationship in bullet train structure tree can be inherited, avoid the confusion of product meta-model level.Therefore, realize in the coupling of product meta-model and demand data follow-up, can directly according to demand data obtain comprehensively and unique corresponding products in kind.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the disposal route of a kind of bullet train product meta-model provided by the invention;
Fig. 2 is the structural representation of the treating apparatus of a kind of bullet train product meta-model provided by the invention.
Embodiment
By setting up the method for product meta-model, existing and the foundation of the meta-model set up different meta-model or omit product or the level confusion of product meta-model are repeated to like products, easily causing in subsequent development, correct corresponding products in kind cannot be obtained.
For this reason, the invention provides a kind of disposal route and device of bullet train product meta-model, object is the disposal route and the device that provide a kind of bullet train product meta-model, thus can realize ensureing the uniqueness of product meta-model, accuracy and comprehensive, make its level and train entity one_to_one corresponding, solve the defect that cannot obtain correct products in kind in subsequent development.
Refer to Fig. 1, the invention provides a kind of embodiment of the disposal route of bullet train product meta-model, the present embodiment comprises the following steps:
Step S101: set up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
According to the data of bullet train product, set up its product meta-model complete or collected works; Described product object data set includes the product of the maximum magnitude that bullet train relates to, as train, vehicle, component, part etc.
Described product object data at least comprise name of product, product coding and product description.The product of the maximum magnitude that the corresponding bullet train of wherein said name of product relates to, corresponding product coding is used for the uniqueness of distinguishing identifier product.
Described property parameters comprises relevant interface attributes parameter (internal interface parameter, external interface parameter), structure attribute parameter, attribute of performance parameter, material properties parameter etc.
Corresponding property parameters is included in all related products of bullet train, as the property parameters etc. of the property parameters of train product, product compartment, assembly, parts product in this property parameters.
Described property parameters at least comprises Property Name, attribute coding and attribute description.The title of attribute can be car wheel structure attribute, car speed attribute, weight of train attribute, air-conditioner temperature attribute etc.; Corresponding attribute coding is used for the uniqueness of distinguishing identifier attribute.
The described relation be associated as between product object, by combining dissimilar product object, can obtain concrete corresponding product.As: motorcoach train product is set and comprises a joint headstock product object, a joint dining car product object, six joint bus or coach production; Or a joint bus or coach production is set and comprises a bathroom appliances object, air-conditioning products object, 80 seating product objects.Wherein said association not only comprises and comprises association above-mentioned being under the jurisdiction of.Also comprise as functional dependencies, associate as power product object exists certain function with car body product object in speed with the property parameters such as quality.
Step 102: read bullet train structure tree information, described structure tree comprises multiple node, each node at least comprises hierarchical information between product object and product object and dependency information;
Described bullet train structure tree comprises multiple node with tree structure, is the maximum intersection of the product used in all bullet trains, namely uses the node that all grade product all can be corresponding unique in structure tree in bullet train.
The corresponding product object of each node, and mainly include two class data compositions, the first kind is hierarchical data, expression be the hierarchical information of bullet train structure.Equations of The Second Kind is the topological data of bullet train structure, expression be bullet train structural information and node dependency information each other.
Wherein hierarchical data comprises: train rank, train rank, component rank, parts rank and part level etc.
Topological data comprises the product object of train, and the relation between product object, and if vehicle is as a product object, it comprises the other products objects such as car body, bogie, power.Wherein the product object such as car body, power is subordinated to vehicle, and power product object can also comprise the product objects such as high pressure, braking, traction.
Step 103: judge whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, shows described product meta-model and hierarchical information thereof and dependency information.
By in above-mentioned steps, known product meta-model comprises product object, also comprises product object in the node of bullet train structure tree, by contrast product object, can judge whether coupling.Further, unique encodings corresponding to comparison product object can be passed through, if codes match, then illustrate that its product object also mates.
The present embodiment by technique scheme, because bullet train structure tree is the maximum intersection of the product used in all bullet trains, and uses the node that all grade product all can be corresponding unique in structure tree in bullet train.Therefore, product meta-model by with the mating and display of described bullet train structure tree node, the maximum product meta-model collection of the product used in bullet train can be obtained, and wherein product meta-model is direct one_to_one corresponding with entity products, can avoid repeating to set up product meta-model, and the foundation of product meta-model can not be omitted, simultaneously, the hierarchical relationship in bullet train structure tree can be inherited, avoid the confusion of product meta-model level.Therefore, realize in the coupling of product meta-model and demand data follow-up, can directly according to demand data obtain comprehensively and unique corresponding products in kind.
In addition, due to the basis that bullet train structure tree is whole bullet train development system, other demand data, technology index data and process tasks data etc. all rely on node and the hierarchical relationship of this bullet train structure tree, and therefore, the scheme of the present embodiment can also comprise:
When the product object in product meta-model and described structure tree does not mate, keep the Information invariability of described node, revise described product meta-model.Namely, when not mating, illustrate that the information of described product meta-model exists mistake, as the Name Error of product object, by " seat " typing be " as ", now should revise the product object title that product meta-model comprises. by mistakeKeep the product object in node constant simultaneously.
Due to the product meta-model enormous amount that bullet train comprises, cannot show completely in same screen display interface, the method therefore described in the present embodiment, can also comprise:
Receive the product object of input, property parameters or related information;
Retrieve the product meta-model shown in described structure tree, and show result for retrieval.
By this step, research staff can by the accurate match information of input, comprise product object, attribute and relation etc. multiple satisfied, in product meta-model storehouse, inquire corresponding information, and show its position and hierarchical relationship intuitively with visual pattern in described structure tree.
In addition, in said method, described product meta-model belongs to data structure corresponding to product, its do not comprise for supplemental characteristic, the method described in the application can also comprise carries out parameter assignment to product meta-model according to entity products, obtains product example.When product meta-model needs amendment to upgrade, the product meta-model that only amendment is corresponding, no longer modifies to the product example obtained after this product meta-model assignment.Concrete operations are as follows:
According to the parameter of the first product, assignment is carried out to product meta-model, obtain the first product example;
Revise described product meta-model, and according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example;
Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
The disposal route of the product meta-model described in the present embodiment, closely can also combine with flow processs such as scheme evaluating, emulation, generations, concrete, the method can also comprise:
Export showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or export analogue system or production system to.
Wherein, technical documentation can transfer to estimating and examining system and its feasibility of experts' evaluation, or the data message of direct output products meta-model completes emulation to analogue system.
Embodiment two:
Refer to Fig. 2, present invention also offers a kind of device embodiment of the treating apparatus of bullet train product meta-model, the device described in the present embodiment, comprising:
Product meta-model sets up module 201, and for setting up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
Structure tree read module 202, for reading bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information;
Coupling display module 203, for judging whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, shows described product meta-model and hierarchical information thereof and dependency information.
In addition, due to the basis that bullet train structure tree is whole bullet train development system, other demand data, technology index data and process tasks data etc. all rely on node and the hierarchical relationship of this bullet train structure tree, therefore, the product meta-model treating apparatus described in the present embodiment can also comprise:
Product meta-model modified module 204, for when the product object in product meta-model and described structure tree does not mate, keeps the node belonging to the product object in described structure tree constant, revises described product meta-model.
Due to the product meta-model enormous amount that bullet train comprises, cannot show completely in same screen display interface, the device therefore described in the present embodiment, can also comprise:
Retrieval module 205, for receiving the product object of input, property parameters or related information, and retrieves the product meta-model shown in described structure tree, display result for retrieval.
Device described in the application can also carry out parameter assignment to product meta-model according to entity products, obtains product example.When product meta-model needs amendment to upgrade, the product meta-model that only amendment is corresponding, no longer modifies to the product example obtained after this product meta-model assignment.Therefore the treating apparatus of described product meta-model, can also comprise:
Instantiation module 206, for the parameter according to the first product, assignment is carried out to product meta-model, obtain the first product example, and when after the described product meta-model of amendment, according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example; Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
The treating apparatus of the product meta-model described in the present embodiment, closely can also combine with systems such as scheme evaluating, emulation, generations, concrete, the treating apparatus of this product meta-model can also comprise:
Output module 207, for exporting showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or exports analogue system or production system to.
Due to the maximum intersection that bullet train structure tree is the product used in all bullet trains, and use in bullet train all grade product all can in structure tree corresponding unique node.Therefore, the present embodiment passes through said apparatus, product meta-model mates with the carrying out of described bullet train structure tree node and shows, can obtain the maximum product meta-model collection of the product used in bullet train, and wherein product meta-model is direct one_to_one corresponding with entity products, can avoid repeating to set up product meta-model, and the foundation of product meta-model can not be omitted, meanwhile, the hierarchical relationship in bullet train structure tree can be inherited, avoid the confusion of product meta-model level.Therefore, realize in the coupling of product meta-model and demand data follow-up, can directly according to demand data obtain comprehensively and unique corresponding products in kind.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that all or part of step in above-described embodiment method can add general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network communication equipment such as such as media gateway) perform the method described in some part of each embodiment of the present invention or embodiment.
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 equipment and 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.Equipment described above and device embodiment are 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 the preferred embodiment 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 disposal route for bullet train product meta-model, is characterized in that, comprising:
Set up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
Read bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information;
Judge whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, show described product meta-model and hierarchical information thereof and dependency information.
2. the disposal route of product meta-model according to claim 1, is characterized in that, also comprise:
When the product object in product meta-model and described structure tree does not mate, keep the Information invariability of described node, revise described product meta-model.
3. the disposal route of product meta-model according to claim 1, is characterized in that, also comprise:
Receive the product object of input, property parameters or related information;
Retrieve the product meta-model shown in described structure tree, and show result for retrieval.
4. the disposal route of product meta-model according to claim 1, is characterized in that, also comprise:
According to the parameter of the first product, assignment is carried out to product meta-model, obtain the first product example;
Revise described product meta-model, and according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example;
Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
5. the disposal route of product meta-model according to claim 1, is characterized in that, also comprise:
Export showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or export analogue system or production system to.
6. a treating apparatus for bullet train product meta-model, is characterized in that, comprising:
Product meta-model sets up module, and for setting up bullet train product meta-model complete or collected works in advance, comprising multiple product meta-model, described product meta-model comprises product object, property parameters and associates;
Structure tree read module, for reading bullet train structure tree information, described structure tree comprises multiple node, and each node at least comprises hierarchical information between product object and product object and dependency information;
Coupling display module, for judging whether the product object in product meta-model and described structure tree mates, if so, then with tree-shaped list structure, in described structure tree, shows described product meta-model and hierarchical information thereof and dependency information.
7. the treating apparatus of product meta-model according to claim 6, is characterized in that, also comprise:
Product meta-model modified module, for when the product object in product meta-model and described structure tree does not mate, keeps the node belonging to the product object in described structure tree constant, revises described product meta-model.
8. the treating apparatus of product meta-model according to claim 6, is characterized in that, also comprise:
Retrieval module, for receiving the product object of input, property parameters or related information, and retrieves the product meta-model shown in described structure tree, display result for retrieval.
9. the treating apparatus of product meta-model according to claim 6, is characterized in that, also comprise:
Instantiation module, for the parameter according to the first product, assignment is carried out to product meta-model, obtain the first product example, and when after the described product meta-model of amendment, according to the parameter of the second product, assignment is carried out to amended product meta-model, obtain the second product example;
Wherein, the property parameters of the first product example with associate, from the property parameters of the second product example with associate different.
10. the treating apparatus of product meta-model according to claim 6, is characterized in that, also comprise:
Output module, for exporting showing described product meta-model and hierarchical information and dependency information thereof in structure tree as technical documentation, or exports analogue system or production system to.
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| CN111737258B (en) * | 2020-06-16 | 2023-12-05 | 北京华脉世纪软件科技有限公司 | Method and device for representing, recording and automatically generating product design scheme |
| CN112836362A (en) * | 2021-01-22 | 2021-05-25 | 中车工业研究院有限公司 | Design method, system, equipment and storage medium for rail transit vehicle product platform |
| CN112836362B (en) * | 2021-01-22 | 2023-11-24 | 中车工业研究院有限公司 | Rail transit vehicle product platform design method, system, equipment and storage medium |
| CN114861340A (en) * | 2022-04-13 | 2022-08-05 | 西南交通大学 | Meta-model-based digital prototype generating type design method for complex product |
| CN114861340B (en) * | 2022-04-13 | 2022-12-23 | 西南交通大学 | Meta-model-based digital prototype generation type design method for complex product |
| CN115630436A (en) * | 2022-10-17 | 2023-01-20 | 中国船舶重工集团公司第七一九研究所 | Super product structure tree management system developed in parallel for series ships |
| CN115630436B (en) * | 2022-10-17 | 2024-03-26 | 中国船舶重工集团公司第七一九研究所 | Super product structure tree management system for parallel development of series ship |
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