CN104820682A - Method and device for establishing data instance needed by high speed train - Google Patents

Method and device for establishing data instance needed by high speed train Download PDF

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CN104820682A
CN104820682A CN201510184597.4A CN201510184597A CN104820682A CN 104820682 A CN104820682 A CN 104820682A CN 201510184597 A CN201510184597 A CN 201510184597A CN 104820682 A CN104820682 A CN 104820682A
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demand
instruction
data
instance
database
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CN104820682B (en
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王军
刘先恺
邓小军
李树典
刘江涛
孙高峰
刘韶庆
梁建英
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CRRC Qingdao Sifang Co Ltd
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CSR Qingdao Sifang Locomotive and Rolling Stock Co Ltd
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Publication of CN104820682A publication Critical patent/CN104820682A/en
Priority to JP2017532994A priority patent/JP2018508060A/en
Priority to PCT/CN2015/094418 priority patent/WO2016165317A1/en
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    • G06Q50/40Business processes related to the transportation industry

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Abstract

The invention relates to the field of a high speed train, specifically to a method for establishing and processing a data instance needed by the high speed train, comprising the steps as follows: obtaining a requirement unit model which is established in advance, wherein the requirement unit model is corresponded to the structure of the high speed train and comprises a requirement object, object properties and property associated information; determining instance basic information of the requirement object according to the requirement object corresponding to the requirement unit model; performing an assignment operation to the object properties and the property associated information of the requirement object corresponding to the requirement unit model so as to obtain requirement data instances corresponding to the requirement object; storing the obtained requirement data instances in a database to generate a requirement instance database; responding to an instruction for calling the requirement instance database and carrying out operation corresponding to the instruction to the requirement instance database. The method of the invention can be used for effectively improving the collecting efficiency of the requirement data and the development efficiency of the high speed train, so the waste of manpower and resources is reduced.

Description

A kind of bullet train demand data example construction method and device
Technical field
The present invention relates to High-sped Trains field, particularly relates to a kind of bullet train demand data example construction method and device.
Background technology
Along with the development of traffic transporting technology, bullet train becomes the study hotspot of transportation by railroad technology at present.Bullet train is on the basis of existing diesel locomotive, electric locomotive and railway, is improved and a kind of speed per hour train faster obtained to power system, running gear, compartment profile and Track System etc.In the design and development process of the bullet train of prior art, first need to determine that demand data designs with guide product.Wherein, bullet train demand data be by collect obtain all about client is for the specific requirement set of the proposition of bullet train product, it is the important evidence of guide product design, and relevant fills in template to the generation guiding client to complete new order for the new order of new client or client provides.The collection source of demand data is mainly associated with the critical demands required by the operation environment of bullet train, working line and client, functional requirement required for passenger.In the prior art, after Vehicle manufacturers receives order, need artificially to decompose the technical indicator of order, decompose each component module, as carried component, walking component and car body component etc., the research and development department that each component is corresponding is afterwards by the technical indicator of correspondence, and designer is according to the design experiences of self, according to the requirement of technical indicator, index correspondence is converted into demand data.
But inventor is realizing finding in process of the present invention, complicated owing to determining the source of demand data, prior art is needing to spend a large amount of personnel and time artificial treatment demand data, causes the repetition and waste of development resources, and research and development progress is stopped over.In addition, a large amount of manual operations, causes error probability comparatively large, can not meet the demand of fast Development train.Existing do not exist a kind of effective demand data processing mode to solve the problem.
Summary of the invention
For solving the problems of the technologies described above, the invention discloses a kind of bullet train demand data example construction method and device, demand data example can be built by the demand meta-model set up in advance, the collection of effective raising demand data and design efficiency, and effectively improve the development efficiency of bullet train, reduce manpower and the wasting of resources.
Technical scheme is as follows:
According to the first aspect of the embodiment of the present invention, disclose a kind of bullet train demand data example and build and disposal route, described method comprises:
Obtain the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more;
The demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object;
Assignment operation is carried out, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information;
The each demand data example obtained is preserved and generates demand instance database in a database;
In response to the instruction of calling described demand instance database, the operation corresponding with described instruction is performed to described demand instance database.
Further, the instance basis information of described demand object comprises one or more in instance name, sequence number, descriptor, creation-time, establishment source, founder's information.
Further, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database and comprises following any one or more sub-step:
Receive the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Receive the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Receive the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
Further, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database and comprises following any one or more step:
What receive user checks instruction, in response to described data of checking in instruction calls demand instance database, checks the demand instance data that instruction is corresponding described in display;
Receive the search instruction of user, search the data of demand instance database in response to described search instruction, display lookup result;
Receive the output order of user, obtain the data of demand instance database in response to described output order, export described data.
Further, described reception user checks instruction, in response to described data of checking in instruction calls demand instance database, checks that demand instance data corresponding to instruction comprises described in display:
What receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtains and identifies corresponding demand instance data with described, show described demand instance data in the mode of list.
According to the second aspect of the embodiment of the present invention, disclose a kind of bullet train demand data example and build and treating apparatus, described device comprises:
Acquisition module, for obtaining the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more;
Determination module, for the demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object;
Example builds module, for carrying out assignment operation, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information;
Database generation module, generates demand instance database in a database for being preserved by each demand data example obtained;
Processing module, in response to the instruction of calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database.
Further, the instance basis information of described demand object comprises one or more in instance name, sequence number, descriptor, creation-time, establishment source, founder's information.
Further, described processing module comprises following any one or more submodule:
Amendment submodule, for receiving the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Delete submodule, for receiving the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Upgrade submodule, for receiving the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
Further, described processing module also comprises following any one or more submodule:
Check submodule, check instruction for what receive user, in response to described data of checking in instruction calls demand instance database, described in display, check the demand instance data that instruction is corresponding;
Retrieval submodule, for receiving the search instruction of user, searches the data of demand instance database in response to described search instruction, display lookup result;
Output sub-module, for receiving the output order of user, obtaining the data of demand instance database, exporting described data in response to described output order.
Further, check described in submodule specifically for:
What receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtains and identifies corresponding demand instance data with described, show described demand instance data in the mode of list
The beneficial effect that an aspect of the embodiment of the present invention can reach is: in bullet train demand data example foundation provided by the invention and disposal route, utilize the demand meta-model set up in advance, by carrying out assignment operation acquiring demand data instance to the object properties of demand object and Attribute Association information, and will the demand instance data obtained be utilized to build demand instance database, and in response to the instruction of calling described demand instance database, the operation corresponding with described instruction can be performed to described demand instance database.Because the present invention utilizes the demand meta-model set up in advance to build demand data example, and each structure of bullet train, assembly all have corresponding demand meta-model, therefore different demand meta-models can be called to create demand data example when designing bullet train, without the need to design iterations, research and development, therefore the R&D work of repetition is greatly reduced, make full use of existing resource, improve efficiency of research and development, the development and Design work completing rapid rapidly and efficiently.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
A kind of bullet train demand data example that Fig. 1 provides for the embodiment of the present invention is set up and process flow schematic diagram;
An example schematic diagram of the bullet train structure tree that Fig. 2 provides for the embodiment of the present invention;
The train level meta-model schematic diagram that Fig. 3 provides for the embodiment of the present invention;
The traveling component demand meta-model schematic diagram that Fig. 4 provides for the embodiment of the present invention;
The establishment demand data example schematic that Fig. 5 provides for the embodiment of the present invention;
The demand example visualization function schematic diagram that Fig. 6 provides for the embodiment of the present invention one application scenarios;
The bullet train demand data example that Fig. 7 provides for the embodiment of the present invention builds and treating apparatus schematic diagram.
Embodiment
Technical scheme in the present invention is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
The invention discloses a kind of bullet train demand data example construction method and device, demand data example can be built by the demand meta-model set up in advance, the collection of effective raising demand data and design efficiency, and the development efficiency effectively improving bullet train, reduce manpower and the wasting of resources.
See Fig. 1, a kind of bullet train demand data example provided for the embodiment of the present invention is set up and process flow schematic diagram.
S101, obtains the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more.
When specific implementation of the present invention, demand meta-model can be pre-created.Described demand meta-model can be referred to as demand data meta-model again, for representing the model of demand data.Described demand meta-model is set up based on bullet train structure tree.Wherein, described bullet train structure tree obtains based on the structure foundation of described bullet train, the bullet train structure that different bullet train types is corresponding different, the bullet train structure tree that different bullet train structures is corresponding different.During specific implementation, can based on the different structure of the different automobile types of the structure tree template set up in advance and collection, set up vehicle type structure tree example dynamically, generate bullet train structure tree database.When creating concrete bullet train demand meta-model, first obtain the bullet train structure tree complete or collected works data that described bullet train is corresponding.Bullet train structure tree can be obtained by the retrieval of the mark of bullet train, type or title.See Fig. 2, it is an example schematic diagram of the bullet train structure tree that the embodiment of the present invention provides.Bullet train structure tree successively can build according to levels such as train, vehicle, component (component), parts, subassembly, parts, and a certain level comprises again different ingredients.Train is highest level, the corresponding a certain joint of vehicle or a few joint compartment, and component (component) comprises again carrying component, traveling component or car body component etc.A certain component can comprise different component layer again, and component layer can comprise subassembly layer etc. again.Such as, vehicle 01 comprises carrying component 01, traveling component 02, and carrying component 01 comprises again body construction 01, head dummy structure 02, car body section 03, vehicle body attachment structure 04 etc.Each component layer can comprise different subassemblies again, specifically as shown in Figure 2.Certainly, also can build bullet train structure tree according to other modes, the present invention does not limit this, as long as the bullet train structure tree built can be corresponding with the structure of bullet train.
When creating demand meta-model, complete or collected works' data of the bullet train structure tree of setting up in advance described in utilization, choose the requirement item that each system point in described bullet train structure tree is corresponding successively, described requirement item is defined as the demand object of demand meta-model, and determine object properties and the Attribute Association information of each demand object, set up demand meta-model according to the object properties of each described demand object and Attribute Association information.Wherein, demand meta-model comprises demand object, object properties (can be referred to as demand properties not only), Attribute Association information (but also can be described as relation) 3 elements.
During specific implementation, tlv triple can be adopted to represent bullet train demand meta-model (RMM):
RMM={<Object><Property><Association>}
Wherein, <Object> represents demand object, <Property> represents object properties, <Association> represents Attribute Association information.Wherein, demand object can comprise one or more in train, vehicle, component, parts, subassembly, part.Object properties can comprise the relevant demand properties of bullet train different product level, specifically can comprise one or more in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute.Wherein, subject demands attribute comprises road network attribute, environment attribute); The main corresponding attribute of performance of crucial requirement attribute, structure attribute; Passenger demand attribute can comprise functional attributes, attribute of performance, constrained attributes; Qualitative restrain attribute (English full name is Total Quality Control, and english abbreviation is TQC) attribute can comprise the attribute specifications such as quality, delivery date, process, attendant.Wherein, Attribute Association information can be called that again relation information is for the various relation informations between description object attribute, mainly comprise between each design object, the relation namely between bullet train product level object between relation, each attribute and the incidence relation between design object and attribute.Particularly, incidence relation can comprise one or more in membership, relation of inclusion, holding relationship.
When creating one or more concrete demand data example, first obtain the demand meta-model corresponding with described demand data example.Such as when creating train demand data example, then obtain train demand meta-model.When creating the demand data example of some parts or component, then obtain described parts or demand meta-model corresponding to component.Such as, when creating walking component example, then obtain walking component meta-model.See Fig. 3, it is the train level meta-model schematic diagram that the embodiment of the present invention provides; See Fig. 4, it is the traveling component demand meta-model schematic diagram that the embodiment of the present invention provides.It should be noted that, demand data example can create by different level, and the example of multiple parts or assembly can form the example of vehicle, and described example derives from the direct interpolation of actual vehicle or the assignment of product meta-model.
S102, the demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object.
The instance basis information of described demand object can comprise in instance name, sequence number, descriptor, creation-time, establishment source, founder's information, precedence information one or more.The present invention does not limit this, and those skilled in the art can be arranged as required flexibly.
S103, carries out assignment operation, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information.
During specific implementation, assignment can be carried out one by one, to obtain corresponding demand data instance to the data of the structure tree level of demand meta-model, the corresponding demand meta-model of single structure node.Wherein, corresponding to a certain structure node demand metamodel data assignment operation can comprise again carries out assignment operation to demand object, object properties, Attribute Association information, to obtain demand data example corresponding to described demand object.
Citing is described, train demand meta-model as shown in Figure 3, when creating train demand data example, can carry out assignment operation, to obtain the demand data example of train for all object properties of train and Attribute Association information.Such as, choose a certain requirement item, add the occurrence of requirement item, namely obtain a demand data example.Such as, choosing train demand object, this attribute of design rate is carried out assignment operation as requirement item, such as, is 300Km/h by design rate assignment; Be and for example high by the dust storm intensity assignment in body attribute or a concrete numerical range, namely create a demand data example.It should be noted that, if identical demand meta-model gives different values, then can create different demand data examples.
See Fig. 5, it is the establishment demand data example schematic that the embodiment of the present invention provides.As shown in Figure 5, in figure a-quadrant for adding the Back ground Information of an example; B region is for showing existing example; C region is for adding the value of requirement item in a concrete example; D region is for filling in the numerical value of a concrete item.
During specific implementation, when will add an example in a-quadrant, proceeding to C region after completing essential information, start the example value of adding single requirement item, proceeding to D region when clicking a certain item, carry out numerical value to fill in, other as title, coding be then existing information, after D region has been filled in, then preserved, proceed to C, click another requirement item.After completing one by one, then preserve in C region point, then stored in B region, show the demand data example existed.
S104, preserves each demand data example obtained and generates demand instance database in a database.
During specific implementation, each demand data example according to establishing builds demand metamodel data storehouse.When the specific design exploitation carrying out bullet train, described demand instance database can be called and come to design and develop work accordingly.
S105, in response to the instruction of calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database.
In a kind of possible implementation, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database and comprises following any one or more sub-step:
Receive the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Receive the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Receive the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
Wherein, the modify instruction of described user, delete instruction or update instruction can comprise the identification information of demand data example, when receiving described instruction, then obtain and identify corresponding demand instance data with described, described demand instance data is revised accordingly, deleted or update process.
In the implementation of another possibility, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database and comprises following any one or more sub-step:
What receive user checks instruction, in response to described data of checking in instruction calls demand instance database, checks the demand instance data that instruction is corresponding described in display;
Receive the search instruction of user, search the data of demand instance database in response to described search instruction, display lookup result;
Receive the output order of user, obtain the data of demand instance database in response to described output order, export described data.
Wherein, described reception user checks instruction, in response to described data of checking in instruction calls demand instance database, check described in display that demand instance data corresponding to instruction comprises: what receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtain and identify corresponding demand instance data with described, show described demand instance data in the mode of list.
Wherein, the search instruction of described reception user, the data of demand instance database are searched in response to described search instruction, display lookup result comprises: the search instruction receiving user, according to the mark of the demand data example that described search instruction comprises, obtain and identify corresponding demand instance data with described, show described demand instance data in the mode of list.
Wherein, the output order of described reception user, the data of demand instance database are obtained in response to described output order, export described data to comprise: the output order receiving user, according to the mark of the demand data example that described output order comprises, obtain and identify corresponding demand instance data with described, export described demand instance data.
During specific implementation, the present invention can be data management staff carries out convenient and man-machine friendly management to the demand metamodel data set up and demand data example, comprise the data of the structure tree level to demand meta-model, the corresponding demand meta-model of single structure node, and the object data comprised in demand meta-model, attribute data, relation data carry out, revise, delete and the operation such as renewal.The demand metamodel data of making has extensibility and dynamic, and designer can be made can to monitor and safeguard demand metamodel data.And the operation such as the amendment of demand meta-model and deletion only affects subsequent need meta-model example, the demand meta-model example used before not affecting.By the collection to demand data, standardization processing etc., reduce the artificial workload to demand data, for fast Development train provides high-quality demand data to manage.
In addition, the demand data example that the present invention can also be obtained by the demand meta-model that creates and the concrete numerical value of demand data template completion, the demand data example obtained is stored in demand instance database, managed dynamically by demand example dynamic management submodule, such as, demand instance data is modified, deletes and upgraded.
In addition, when embodiment of the present invention specific implementation, in order to designer checks bullet train demand instance data more clearly, the present invention can utilize the mode of list visualization to carry out whole details of displaying demand example.There is provided above-mentioned stored demand instance data to be supplied to the search function of user's request data simultaneously, designer can easily to stored in the demand example information of demand database inquire about, can according to the parameter value of example, or the information such as instance name carry out retrieval and inquisition, the output of form and document can be carried out according to certain form simultaneously.See Fig. 6, it is the demand example visualization function schematic diagram that the embodiment of the present invention one application scenarios provides.Wherein, can comprise:
(1) demand data example look facility: designer can check at demand example according to the mode of list, and checks its information.
(2) demand data case retrieval function: provide it by parameter value, instance name information inquiry, draws relevant a series of demand instance data.
(3) demand data instance document output function: the format module output report of user according to defining and document are provided.
See Fig. 7, the bullet train demand data example provided for the embodiment of the present invention builds and treating apparatus schematic diagram.
A kind of bullet train demand data example builds and treating apparatus 700, and described device comprises:
Acquisition module 701, for obtaining the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more.
Determination module 702, for the demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object.
Example builds module 703, for carrying out assignment operation, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information.
Database generation module 704, generates demand instance database in a database for being preserved by each demand data example obtained.
Processing module 705, in response to the instruction of calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database.
Wherein, the instance basis information of described demand object comprises one or more in instance name, sequence number, descriptor, creation-time, establishment source, founder's information.
Further, described processing module comprises following any one or more submodule:
Amendment submodule, for receiving the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Delete submodule, for receiving the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Upgrade submodule, for receiving the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
Further, described processing module also comprises following any one or more submodule:
Check submodule, check instruction for what receive user, in response to described data of checking in instruction calls demand instance database, described in display, check the demand instance data that instruction is corresponding;
Retrieval submodule, for receiving the search instruction of user, searches the data of demand instance database in response to described search instruction, display lookup result;
Output sub-module, for receiving the output order of user, obtaining the data of demand instance database, exporting described data in response to described output order.
Further, check described in submodule specifically for:
What receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtains and identifies corresponding demand instance data with described, show described demand instance data in the mode of list.
The function of above-mentioned each unit may correspond to the treatment step of the said method described in detail in Fig. 1, repeats no more in this.It should be noted that, owing to being explained in detail embodiment of the method, comparatively simple to the description of device embodiment, it will be appreciated by persons skilled in the art that and reference method embodiment can construct device embodiment of the present invention.Those skilled in the art all belong to protection scope of the present invention not paying other implementations obtained under creative work.
It will be understood by those skilled in the art that; above exemplary illustration is carried out to method and apparatus embodiment; below be not considered as limitation of the present invention, those skilled in the art all belong to protection scope of the present invention not paying other implementations obtained under creative work.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.The present invention can describe in the general context of computer executable instructions, such as program module.Usually, program module comprises the routine, program, object, assembly, data structure etc. that perform particular task or realize particular abstract data type.Also can put into practice the present invention in a distributed computing environment, in these distributed computing environment, be executed the task by the remote processing devices be connected by communication network.In a distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium comprising memory device.
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 wherein said unit 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 specific embodiment 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. bullet train demand data example builds and a disposal route, and it is characterized in that, described method comprises:
Obtain the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more;
The demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object;
Assignment operation is carried out, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information;
The each demand data example obtained is preserved and generates demand instance database in a database;
In response to the instruction of calling described demand instance database, the operation corresponding with described instruction is performed to described demand instance database.
2. method according to claim 1, is characterized in that, the instance basis information of described demand object comprise in instance name, sequence number, descriptor, creation-time, establishment source, founder's information one or more.
3. method according to claim 1, is characterized in that, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction comprise following any one or more sub-step to described demand instance database:
Receive the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Receive the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Receive the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
4. method according to claim 1, is characterized in that, the described instruction in response to calling described demand instance database, performs the operation corresponding with described instruction comprise following any one or more step to described demand instance database:
What receive user checks instruction, in response to described data of checking in instruction calls demand instance database, checks the demand instance data that instruction is corresponding described in display;
Receive the search instruction of user, search the data of demand instance database in response to described search instruction, display lookup result;
Receive the output order of user, obtain the data of demand instance database in response to described output order, export described data.
5. method according to claim 4, is characterized in that, described reception user checks instruction, in response to described data of checking in instruction calls demand instance database, checks that demand instance data corresponding to instruction comprises described in display:
What receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtains and identifies corresponding demand instance data with described, show described demand instance data in the mode of list.
6. bullet train demand data example builds and a treating apparatus, and it is characterized in that, described device comprises:
Acquisition module, for obtaining the demand meta-model set up in advance; Wherein, the structure of described demand meta-model and described bullet train has corresponding relation, and described demand meta-model comprises demand object, object properties and Attribute Association information; Described object properties comprise in body attribute, determinant attribute, passenger's attribute, qualitative restrain attribute one or more; Described Attribute Association information comprise in membership, relation of inclusion, holding relationship one or more;
Determination module, for the demand object corresponding according to described demand meta-model, determines the instance basis information of described demand object;
Example builds module, for carrying out assignment operation, to obtain demand data example corresponding to described demand object to the object properties of demand object corresponding to described demand meta-model and Attribute Association information;
Database generation module, generates demand instance database in a database for being preserved by each demand data example obtained;
Processing module, in response to the instruction of calling described demand instance database, performs the operation corresponding with described instruction to described demand instance database.
7. device according to claim 6, is characterized in that, the instance basis information of described demand object comprise in instance name, sequence number, descriptor, creation-time, establishment source, founder's information one or more.
8. device according to claim 6, is characterized in that, described processing module comprises following any one or more submodule:
Amendment submodule, for receiving the modify instruction of user, the data called in demand instance database in response to the described modify instruction demand instance data corresponding to described modify instruction is modified;
Delete submodule, for receiving the delete instruction of user, the data called in demand instance database in response to the described delete instruction demand instance data corresponding to described delete instruction is deleted;
Upgrade submodule, for receiving the update instruction of user, the data called in demand instance database in response to the described update instruction demand instance data corresponding to described update instruction upgrades.
9. device according to claim 6, is characterized in that, described processing module also comprises following any one or more submodule:
Check submodule, check instruction for what receive user, in response to described data of checking in instruction calls demand instance database, described in display, check the demand instance data that instruction is corresponding;
Retrieval submodule, for receiving the search instruction of user, searches the data of demand instance database in response to described search instruction, display lookup result;
Output sub-module, for receiving the output order of user, obtaining the data of demand instance database, exporting described data in response to described output order.
10. device according to claim 9, is characterized in that, described in check submodule specifically for:
What receive user checks instruction, according to described mark of checking the demand data example that instruction comprises, obtains and identifies corresponding demand instance data with described, show described demand instance data in the mode of list.
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