CN104915106A - High-speed train demand data processing method and device - Google Patents
High-speed train demand data processing method and device Download PDFInfo
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- CN104915106A CN104915106A CN201510301123.3A CN201510301123A CN104915106A CN 104915106 A CN104915106 A CN 104915106A CN 201510301123 A CN201510301123 A CN 201510301123A CN 104915106 A CN104915106 A CN 104915106A
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Abstract
The invention provides a high-speed train demand data processing method and device. The method comprises: acquiring high-speed train demand data input by a user; displaying the high-speed train demand data and corresponding structure tree and classification tree to the user; acquiring the corresponding relation of the high-speed train demand data and the structure tree according to the associated operation of the user on the high-speed train demand data and the structure tree, and acquiring the corresponding relation of the high-speed train demand data and the classification tree according to the associated operation of the user on the high-speed train demand data and the classification; storing the high-speed train demand data, the structure tree and the classification tree correspondingly according to the corresponding relation of the high-speed train demand data and the structure tree and the corresponding relation of the high-speed train demand data and the classification tree. By utilizing the method and the device provided by the invention, the acquisition and normalized processing on the high-speed train demand data are realized, the work load of processing the high-speed train demand data is reduced, and the error rate is reduced at the same time.
Description
Technical field
The present invention relates to data processing field, especially relate to a kind of disposal route and device of bullet train demand data.
Background technology
In the performance history of bullet train, after Vehicle manufacturers receives the order of bullet train, need artificially to decompose the technical indicator of order, decompose each component module, as carried component, walking component and car body component etc., afterwards technical indicator corresponding for each component module is converted into bullet train demand data.
Bullet train demand data is the specific requirement set that user proposes bullet train product, is the important evidence of guide product design.The collection source of bullet train demand data mainly comprises the designing requirement that the running environment of bullet train, working line and user propose bullet train product.
At present, because the source of bullet train demand data is more, and complicated.Do not have now the demand data of system specifications to manage, need to spend a large amount of designer to carry out artificial treatment bullet train demand data, not only cause error rate comparatively large, and cause larger workload.
Summary of the invention
The technical matters that the present invention solves is the disposal route and the device that provide a kind of bullet train demand data, thus automatically can realize the data processing to bullet train demand data, thus reduces error rate and reduce workload.
For this reason, the technical scheme of technical solution problem of the present invention is:
The invention provides a kind of disposal route of bullet train demand data, comprising:
Obtain the bullet train demand data of user's input;
Structure tree and the classification tree of described bullet train demand data and correspondence is shown to user;
According to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree;
According to described bullet train demand data and the corresponding relation of described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
Preferably, also comprise:
When receiving the edit requests to described bullet train demand data, described bullet train demand data is edited.
Preferably, described when receiving the edit requests to described bullet train demand data, described bullet train demand data is edited, comprising:
When receiving the interpolation request to described bullet train demand data, judging whether to there is bullet train demand data to be added, if not, adding described bullet train demand data to be added, if so, prompting is added unsuccessfully.
Preferably, described bullet train demand data comprises: demand data title, demand data type and demand data scope.
Preferably, described bullet train demand data comprises at least one in following data type:
The environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
Present invention also offers a kind for the treatment of apparatus of bullet train demand data, comprising:
First acquiring unit, for obtaining the bullet train demand data of user's input;
Display unit, for showing structure tree and the classification tree of described bullet train demand data and correspondence to user;
Second acquisition unit, for according to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree;
Storage unit, for according to the corresponding relation of described bullet train demand data and described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
Preferably, also comprise:
Edit cell, for when receiving the edit requests to described bullet train demand data, edits described bullet train demand data.
Preferably, described when receiving the edit requests to described bullet train demand data, described bullet train demand data is edited, comprising:
When receiving the interpolation request to described bullet train demand data, judging whether to there is bullet train demand data to be added, if not, adding described bullet train demand data to be added, if so, prompting is added unsuccessfully.
Preferably, described bullet train demand data comprises: demand data title, demand data type and demand data scope.
Preferably, described bullet train demand data comprises at least one in following data type:
The environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
Known by technique scheme, the bullet train demand data of user's input is obtained in the present invention, structure tree and the classification tree of bullet train demand data and correspondence is shown to user, thus make user can to bullet train demand data and structure tree, and bullet train demand data and classification tree carry out operation associated, thus operation associatedly set up corresponding relation according to this, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.Achieve the collection to bullet train demand data and standardization processing, decrease workload when bullet train demand data is processed, decrease error rate simultaneously, for fast Development train provides high-quality demand data to manage.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the disposal route of a kind of bullet train demand data provided by the invention;
Fig. 2 is the optional constituted mode of one of structure tree;
Fig. 3 is the optional constituted mode of one of classification tree;
Fig. 4 is a kind of interrelational form of bullet train demand data and structure tree;
Fig. 5 is the optional constituted mode of one of the viewing area in the present invention;
Fig. 6 is the structural representation of the treating apparatus of a kind of bullet train demand data provided by the invention.
Embodiment
In the performance history of bullet train, bullet train demand data can gather in the following manner: market study, inside data of enterprise analysis, obtain according to artificial experience.In addition, a kind of conventional obtain manner is in addition: after Vehicle manufacturers receives the order of bullet train, need artificially to decompose the technical indicator of order, decompose each component module, as carried component, traveling component and car body component etc., the research and development department that each component module is corresponding is afterwards according to design experiences and according to the requirement of technical indicator, technical indicator corresponding for each component module is converted into bullet train demand data.It should be noted that, in the present invention, bullet train generally refers to the train that speed per hour is greater than 200 kms.
Bullet train demand data is by collecting the user that obtains to the specific requirement set of the proposition of bullet train product, be the important evidence of guide product design, and relevant fill in template to the generation guiding client to complete new order for the new order of client provides.The collection source of bullet train demand data mainly comprises the designing requirement that the running environment of bullet train, working line and user propose bullet train product.Wherein, user had both comprised the client of the order generating bullet train product, also comprised the passenger using bullet train product.
At present, because the source of bullet train demand data is more, and complicated.Do not have now the demand data of system specifications to manage, need to spend a large amount of designer to carry out artificial treatment bullet train demand data, not only cause error rate comparatively large, and cause larger workload.In addition, also can cause development resources repetition and waste, and research and development progress is stopped over, the demand of fast Development train can not be met.
The invention provides a kind of disposal route and device of bullet train demand data, thus automatically can realize the data processing to bullet train demand data, thus reduce error rate and reduce workload.
Refer to Fig. 1, the invention provides a kind of embodiment of the method for the disposal route of bullet train demand data, the present embodiment comprises:
S101: the bullet train demand data obtaining user's input.
In the present invention, can be gathered by demand the devices such as submodule to existing order and daily in have relevant ask for something summarize and collect to product design, get the bullet train demand data affecting bullet train product design, then inputted by user.
Wherein, bullet train demand data can comprise demand data title, demand data type and demand data scope.Demand data title refers to the concrete title of the demand data that bullet train demand data reflects, demand data type refers to the data list type of the demand data that bullet train demand data reflects, such as, can comprise enumeration type and wide-style etc.
In fact, bullet train demand data is the specific requirement set that user proposes bullet train product, be the constitution element of subject demands in demand meta-model (such as environmental demand, road network demand), crucial requirement (such as topology requirement, performance requirement), passenger demand (such as functional requirement), bullet train demand data specifically can comprise at least one in following data type: the environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
S102: the structure tree from correspondence to user and the classification tree that show described bullet train demand data and.
After the high speed getting user's input lists demand data, the present invention can show described bullet train demand data to user, such as, show the bullet train demand data of filling in designer, is convenient to designer and checks whether and duplicate.
Except described bullet train demand data, the present invention also can show structure tree corresponding to described bullet train demand data and classification tree to user further.Wherein structure tree refers to the tree-shaped figure of hierarchical structure of object composition and each several part parts composition describing bullet train, it is by the article information in bullet train data management, in conjunction with the hierarchical relationship between each parts, a kind of effective attribute management structure of composition.Fig. 2 shows the optional constituted mode of a kind of structure tree.The tree structure that the categorical attribute that classification tree refers to bullet train demand data is formed, such as can by analyzing the attributive character of bullet train demand data self, by the design experiences of designer, bullet train demand data is carried out attributive classification, Fig. 3 shows a kind of optional constituted mode of classification tree.
S103: according to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree.
Data in bullet train demand data and described structure tree by being undertaken operation associated by bullet train demand data and described structure tree, can be set up corresponding relation, namely realizing the structuring of bullet train demand data by user.It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, and such as, shown in Fig. 4, bullet train demand data comprises n item number certificate, by operation associated, each item number certificate and structure tree can be set up corresponding relation as shown in Figure 4.
Data in bullet train demand data and described classification tree by being undertaken operation associated by bullet train demand data and described classification tree, can be set up corresponding relation, namely realizing the attributed of bullet train demand data by user.It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, by operation associated, and can by each item number according to setting up corresponding relation with classification tree.
S104: according to described bullet train demand data and the corresponding relation of described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserves described bullet train demand data, described structure tree and described classification tree.
After described bullet train demand data being set up the corresponding relation with described structure tree and described classification tree, namely according to described corresponding relation, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
Known by technique scheme, the bullet train demand data of user's input is obtained in the present invention, structure tree and the classification tree of bullet train demand data and correspondence is shown to user, thus make user can to bullet train demand data and structure tree, and bullet train demand data and classification tree carry out operation associated, thus operation associatedly set up corresponding relation according to this, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.Achieve the collection to bullet train demand data and standardization processing, decrease workload when bullet train demand data is processed, decrease error rate simultaneously, for fast Development train provides high-quality demand data to manage.
In fact, bullet train demand data is the specific requirement set that user proposes bullet train product, it is the constitution element of demand meta-model, key point of the present invention is just to be supplied to designer carries out convenient and man-machine friendly management to the demand meta-model set up, comprise the structure tree level to demand meta-model, the data that single structure node is corresponding are modified, and the operation such as deletion, thus the demand metamodel data of the invention enables 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 generated before not affecting.
Optionally, the present embodiment also comprises: when receiving the edit requests to described bullet train demand data, edits described bullet train demand data.
User by the operation such as clicking, can generate the edit requests to described bullet train demand data.Viewing area such as shown in Fig. 5 comprises A and shows subregion and B display subregion, and user can show corresponding " amendment " or " deletion " button of click in subregion at B, generates corresponding amendment or removal request.
It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, and such as, under " demand data definition " Shipping Options Page in the B display subregion of Fig. 5, every data line is as a bullet train demand data.Therefore can edit a bullet train demand data.
Wherein, when modifying to the demand data title of bullet train demand data, if this demand data title also uses in demand meta-model, then demand meta-model is also revised accordingly.But the demand meta-model generated according to bullet train demand data is not made an amendment.Equally, when deleting bullet train demand data, can not delete according to the demand meta-model that bullet train demand data generates.
Further alternative, described when receiving the edit requests to described bullet train demand data, described bullet train demand data is edited, comprising:
When receiving the interpolation request to described bullet train demand data, judge whether to there is bullet train demand data to be added, if not, the bullet train demand data that there is not repetition is described, therefore add described bullet train demand data to be added, if so, the bullet train demand data existing and repeat is described, prompting is added unsuccessfully, does not namely add described bullet train demand data to be added.Wherein bullet train demand data repeats generally to refer to the repetition of demand data title.
Optionally, the present embodiment also comprises: when receiving the edit requests to described structure tree, edits described structure tree.
User can by clicking, the operation such as right button, generate the edit requests to described structure tree.
Further alternative, the described edit requests to described structure tree can comprise: to the edit requests of the node of on described structure tree.Wherein, the described edit requests to the node of on described structure tree, can comprise: to name modifications request, the removal request of a described node or increase the request of sub-level node.Such as on structure tree, can choose some nodes by click, right button ejects corresponding Administration menu, and described Administration menu comprises: add subordinate, deletion and amendment three kinds of modes of operation.Add subordinate if click, then can increase child node, the information of the child node that now can newly increase the bullet window input generated, delete if click, can direct deletion of node, deleting result can affect demand meta-model, but does not affect the demand meta-model generated.If click amendment, then can modify to node.
Optionally, the present embodiment also comprises: when receiving the edit requests to described classification tree, edits described classification tree.
User can by clicking, the operation such as right button, generate the edit requests to described classification tree.
Further alternative, the described edit requests to described classification tree can comprise: to the edit requests of the node of on described classification tree.Wherein, the described edit requests to the node of on described classification tree, can comprise: to name modifications request, the removal request of a described node or increase the request of sub-level node.Such as on classification tree, can choose some nodes by click, right button ejects corresponding Administration menu, and described Administration menu comprises: add subordinate, deletion and amendment three kinds of modes of operation.Add subordinate if click, then can increase child node, the information of the child node that now can newly increase the bullet window input generated, delete if click, can direct deletion of node, deleting result can affect demand meta-model, but does not affect the demand meta-model generated.If click amendment, then can modify to node.
Refer to Fig. 6, present invention also offers a kind of device embodiment of the treating apparatus of bullet train demand data, the present embodiment comprises: the first acquiring unit 601, display unit 602, second acquisition unit 603 and storage unit 604.
First acquiring unit 601, for obtaining the bullet train demand data of user's input.
In the present invention, can be gathered by demand the devices such as submodule to existing order and daily in have relevant ask for something summarize and collect to product design, get the bullet train demand data affecting bullet train product design, then inputted by user.
Wherein, bullet train demand data can comprise demand data title, demand data type and demand data scope.Demand data title refers to the concrete title of the demand data that bullet train demand data reflects, demand data type refers to the data list type of the demand data that bullet train demand data reflects, such as, can comprise enumeration type and wide-style etc.
In fact, bullet train demand data is the specific requirement set that user proposes bullet train product, be the constitution element of subject demands in demand meta-model (such as environmental demand, road network demand), crucial requirement (such as topology requirement, performance requirement), passenger demand (such as functional requirement), bullet train demand data specifically can comprise at least one in following data type: the environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
Display unit 602, for showing structure tree and the classification tree of described bullet train demand data and correspondence to user.
After the high speed getting user's input lists demand data, the present invention can show described bullet train demand data to user, such as, show the bullet train demand data of filling in designer, is convenient to designer and checks whether and duplicate.
Except described bullet train demand data, the present invention also can show structure tree corresponding to described bullet train demand data and classification tree to user further.The tree structure that the structured data that wherein structure tree refers to bullet train demand data is formed, namely bullet train demand data is carried out structuring classification, Fig. 2 shows the optional constituted mode of a kind of structure tree.The tree structure that the categorical attribute that classification tree refers to bullet train demand data is formed, such as can by analyzing the attributive character of bullet train demand data self, by the design experiences of designer, bullet train demand data is carried out attributive classification, Fig. 3 shows a kind of optional constituted mode of classification tree.
Second acquisition unit 603, for according to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree.
Data in bullet train demand data and described structure tree by being undertaken operation associated by bullet train demand data and described structure tree, can be set up corresponding relation, namely realizing the structuring of bullet train demand data by user.It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, and such as, shown in Fig. 4, bullet train demand data comprises n item number certificate, by operation associated, each item number certificate and structure tree can be set up corresponding relation as shown in Figure 4.
Data in bullet train demand data and described classification tree by being undertaken operation associated by bullet train demand data and described classification tree, can be set up corresponding relation, namely realizing the attributed of bullet train demand data by user.It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, by operation associated, and can by each item number according to setting up corresponding relation with classification tree.
Storage unit 604, for according to the corresponding relation of described bullet train demand data and described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
After described bullet train demand data being set up the corresponding relation with described structure tree and described classification tree, namely according to described corresponding relation, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
Known by technique scheme, the bullet train demand data of user's input is obtained in the present invention, structure tree and the classification tree of bullet train demand data and correspondence is shown to user, thus make user can to bullet train demand data and structure tree, and bullet train demand data and classification tree carry out operation associated, thus operation associatedly set up corresponding relation according to this, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.Achieve the collection to bullet train demand data and standardization processing, decrease workload when bullet train demand data is processed, decrease error rate simultaneously, for fast Development train provides high-quality demand data to manage.
In fact, bullet train demand data is the specific requirement set that user proposes bullet train product, it is the constitution element of demand meta-model, key point of the present invention is just to be supplied to designer carries out convenient and man-machine friendly management to the demand meta-model set up, comprise the structure tree level to demand meta-model, the data that single structure node is corresponding are modified, and the operation such as deletion, thus the demand metamodel data of the invention enables 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 generated before not affecting.
Optionally, the present embodiment also comprises: edit cell, and described edit cell is used for when receiving the edit requests to described bullet train demand data, edits described bullet train demand data.
User by the operation such as clicking, can generate the edit requests to described bullet train demand data.Viewing area such as shown in Fig. 5 comprises A and shows subregion and B display subregion, and user can show corresponding " amendment " or " deletion " button of click in subregion at B, generates corresponding amendment or removal request.
It should be noted that, described bullet train demand data can comprise one or multinomial bullet train demand data, and such as, under " demand data definition " Shipping Options Page in the B display subregion of Fig. 5, every data line is as a bullet train demand data.Therefore can edit a bullet train demand data.
Wherein, when modifying to the demand data title of bullet train demand data, if this demand data title also uses in demand meta-model, then demand meta-model is also revised accordingly.But the demand meta-model generated according to bullet train demand data is not made an amendment.Equally, when deleting bullet train demand data, can not delete according to the demand meta-model that bullet train demand data generates.
Further alternative, described when receiving the edit requests to described bullet train demand data, described bullet train demand data is edited, comprising:
When receiving the interpolation request to described bullet train demand data, judge whether to there is bullet train demand data to be added, if not, the bullet train demand data that there is not repetition is described, therefore add described bullet train demand data to be added, if so, the bullet train demand data existing and repeat is described, prompting is added unsuccessfully, does not namely add described bullet train demand data to be added.Wherein bullet train demand data repeats generally to refer to the repetition of demand data title.
Optionally, the edit cell of the present embodiment can also be used for, and when receiving the edit requests to described structure tree, edits described structure tree.
User can by clicking, the operation such as right button, generate the edit requests to described structure tree.
Further alternative, the described edit requests to described structure tree can comprise: to the edit requests of the node of on described structure tree.Wherein, the described edit requests to the node of on described structure tree, can comprise: to name modifications request, the removal request of a described node or increase the request of sub-level node.Such as on structure tree, can choose some nodes by click, right button ejects corresponding Administration menu, and described Administration menu comprises: add subordinate, deletion and amendment three kinds of modes of operation.Add subordinate if click, then can increase child node, the information of the child node that now can newly increase the bullet window input generated, delete if click, can direct deletion of node, deleting result can affect demand meta-model, but does not affect the demand meta-model generated.If click amendment, then can modify to node.
Optionally, the edit cell of the present embodiment can also be used for, and when receiving the edit requests to described classification tree, edits described classification tree.
User can by clicking, the operation such as right button, generate the edit requests to described classification tree.
Further alternative, the described edit requests to described classification tree can comprise: to the edit requests of the node of on described classification tree.Wherein, the described edit requests to the node of on described classification tree, can comprise: to name modifications request, the removal request of a described node or increase the request of sub-level node.Such as on classification tree, can choose some nodes by click, right button ejects corresponding Administration menu, and described Administration menu comprises: add subordinate, deletion and amendment three kinds of modes of operation.Add subordinate if click, then can increase child node, the information of the child node that now can newly increase the bullet window input generated, delete if click, can direct deletion of node, deleting result can affect demand meta-model, but does not affect the demand meta-model generated.If click amendment, then can modify to node.
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 system 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 and system 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 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 demand data, is characterized in that, comprising:
Obtain the bullet train demand data of user's input;
Structure tree and the classification tree of described bullet train demand data and correspondence is shown to user;
According to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree;
According to described bullet train demand data and the corresponding relation of described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
2. method according to claim 1, is characterized in that, also comprises:
When receiving the edit requests to described bullet train demand data, described bullet train demand data is edited.
3. method according to claim 2, is characterized in that, described when receiving the edit requests to described bullet train demand data, edits, comprising described bullet train demand data:
When receiving the interpolation request to described bullet train demand data, judging whether to there is bullet train demand data to be added, if not, adding described bullet train demand data to be added, if so, prompting is added unsuccessfully.
4. method according to claim 1, is characterized in that, described bullet train demand data comprises: demand data title, demand data type and demand data scope.
5. the method according to any one of Claims 1-4, is characterized in that, described bullet train demand data comprises at least one in following data type:
The environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
6. a treating apparatus for bullet train demand data, is characterized in that, comprising:
First acquiring unit, for obtaining the bullet train demand data of user's input;
Display unit, for showing structure tree and the classification tree of described bullet train demand data and correspondence to user;
Second acquisition unit, for according to operation associated to described bullet train demand data and described structure tree of user, obtain the corresponding relation of described bullet train demand data and described structure tree, and according to operation associated to described bullet train demand data and described classification tree of user, obtain the corresponding relation of described bullet train demand data and described classification tree;
Storage unit, for according to the corresponding relation of described bullet train demand data and described structure tree and the corresponding relation of described bullet train demand data and described classification tree, correspondingly preserve described bullet train demand data, described structure tree and described classification tree.
7. device according to claim 6, is characterized in that, also comprises:
Edit cell, for when receiving the edit requests to described bullet train demand data, edits described bullet train demand data.
8. device according to claim 7, is characterized in that, described when receiving the edit requests to described bullet train demand data, edits, comprising described bullet train demand data:
When receiving the interpolation request to described bullet train demand data, judging whether to there is bullet train demand data to be added, if not, adding described bullet train demand data to be added, if so, prompting is added unsuccessfully.
9. device according to claim 6, is characterized in that, described bullet train demand data comprises: demand data title, demand data type and demand data scope.
10. the device according to any one of claim 6 to 9, is characterized in that, described bullet train demand data comprises at least one in following data type:
The environmental demand data of bullet train, road network demand data, topology requirement data, performance requirement data and functional requirement data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105426393A (en) * | 2015-10-28 | 2016-03-23 | 南车青岛四方机车车辆股份有限公司 | Method and apparatus for classifying demand data of train |
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