CN105243157A - Method and apparatus for processing demand data of high speed train - Google Patents
Method and apparatus for processing demand data of high speed train Download PDFInfo
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- CN105243157A CN105243157A CN201510712947.XA CN201510712947A CN105243157A CN 105243157 A CN105243157 A CN 105243157A CN 201510712947 A CN201510712947 A CN 201510712947A CN 105243157 A CN105243157 A CN 105243157A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a method for processing demand data of a high speed train. The method comprises the steps of when detecting that a user adds first demand data on a demand data template of the high speed train, storing the added first demand data on the demand data template of the high speed train; when detecting that the user modifies second demand data on the demand data template of the high speed train, storing the modified second demand data on the demand data template of the high speed train; when detecting that the user deletes third demand data from the demand data template from the high speed train, removing the third demand data from the demand data template of the high speed train. Embodiments of the invention further provide an apparatus for processing the demand data of the high speed train.
Description
Technical field
The present invention relates to train technical field, particularly relate to a kind of method and the device that process bullet train demand data.
Background technology
Bullet train demand data refers to the data acquisition collecting all specific requirements proposed for bullet train product about client obtained.Described demand data instructs the important evidence of train product design, and relevantly fill in template to the generation guiding client to complete new order for the new order of old and new customers provides.The collection source of described demand data primarily of the operation environment of bullet train, working line, client to the requirement of train critical nature, and the functional requirement required for passenger.
At present, the collection of bullet train demand data, comprises following several mode:
1, market study;
2, inside data of enterprise information analysis;
3, obtain according to artificial experience.
In existing bullet train exploitation, after Vehicle manufacturers receives the order of client, need the artificial technical indicator of order is decomposed, decompose each component module, as carrying component, walking component and car body component etc., afterwards, the designer of the research and development department that each component is corresponding is according to the design experiences of self, by the technical indicator obtained after decomposition, as requested, technical indicator correspondence is converted into demand data.
But, because demand data source is more and content complicated, needs the time spending a large amount of designer, artificial treatment demand data, cause development resources repetition and waste, and research and development progress is stopped over.And, technical indicator correspondence is converted into demand data, needs a large amount of manual operations, cause error probability comparatively large, the demand of fast Development bullet train can not be met.
Summary of the invention
In view of this, the fundamental purpose of the embodiment of the present invention is to provide a kind of method and the device that process bullet train demand data, to realize improving the rapidity of process bullet train demand data, the object of accuracy.
For achieving the above object, embodiments provide a kind of method processing bullet train demand data, comprising:
After detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation;
After detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data;
After detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
Optionally,
Describedly also to comprise: in the demand database for preserving bullet train demand data after detecting that user adds the first demand data in bullet train demand data template, directly adding described first demand data;
Described after detecting that user revises the second demand data in bullet train demand data template, also comprise: in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment;
Describedly also to comprise: in the demand database for preserving bullet train demand data after detecting that user deletes the 3rd demand data in bullet train demand data template, directly removing described 3rd demand data.
Optionally, described method also comprises:
When detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode;
After the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
Optionally, described method also comprises:
Described 4th demand data is exported in the mode of form and/or document;
Described 5th demand data is exported in the mode of form and/or document.
Optionally, before the described bullet train demand data template of operation, also comprise:
Bullet train demand data is divided according to level, and builds described bullet train demand data template by the mode of successively adding demand data item;
The described mode by successively adding demand data item builds described bullet train demand data template, comprising:
For the bullet train demand data template built, if get the request of the child node of the interpolation present node that user inputs in first window, then eject Second Window, in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen;
For the bullet train demand data template built, if get the request of the child node of the amendment present node that user inputs in first window, then eject Second Window, the all data item be checked or at least one first data item be checked and at least one second data item be not checked is shown in described Second Window, described first data item is demand data corresponding to a child node under described present node, and described second data item is not demand data corresponding to a child node under described present node; If detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.
Optionally, if the data getting the present node to current level that user inputs in described first window check request, then show all demand data items corresponding to described present node at the 3rd window.
The embodiment of the present invention additionally provides a kind of device processing bullet train demand data, comprising:
Template adding device, for after detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation;
Template amendment unit, for after detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data;
Template delete cells, for after detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
Optionally, described device also comprises:
Database adding device, for after detecting that user adds the first demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly adds described first demand data;
Database update unit, for after detecting that user revises the second demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment;
Database delete cells, for after detecting that user deletes the 3rd demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly removes described 3rd demand data.
Optionally, described device also comprises:
Template checks unit, for when detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode;
Template retrieval unit, for after the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
Optionally, described device also comprises:
First output unit, for exporting described 4th demand data in the mode of form and/or document;
Second output unit, for exporting described 5th demand data in the mode of form and/or document.
Optionally, described device also comprises:
Template construction unit, for bullet train demand data being divided according to level, and builds described bullet train demand data template by the mode of successively adding demand data item;
Described template construction unit, comprising:
Node adds module, for for the bullet train demand data template built, if get the request of the child node of the interpolation present node that user inputs in first window, then eject Second Window, in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen;
Node modified module, for for the bullet train demand data template built, if get the request of the child node of the amendment present node that user inputs in first window, then eject Second Window, the all data item be checked are shown in described Second Window, or at least one first data item be checked and at least one second data item be not checked, described first data item is demand data corresponding to a child node under described present node, described second data item is not demand data corresponding to a child node under described present node, if detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.
Optionally, described template construction unit, also comprises:
Node checks module, if check request for the data getting the present node to current level that user inputs in described first window, then shows all demand data items corresponding to described present node at the 3rd window.
The method of the process bullet train demand data that the embodiment of the present invention provides and device, based on bullet train demand data template, automatically can process bullet train demand data, comprise the interpolation to bullet train demand data, amendment and deletion, decrease the artificial work for the treatment of amount to bullet train demand data, for fast Development bullet train provides the mode effectively processing bullet train demand data.
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, accompanying drawing in the following describes is some embodiments of 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.
Fig. 1 is the processing mode schematic diagram of embodiment of the present invention bullet train demand data;
Fig. 2 is the schematic flow sheet of the method for embodiment of the present invention process bullet train demand data;
Fig. 3 is the visualization function schematic diagram of embodiment of the present invention bullet train demand data;
Fig. 4 is that embodiment of the present invention bullet train demand data template builds one of schematic diagram;
Fig. 5 is that embodiment of the present invention bullet train demand data template builds schematic diagram two;
Fig. 6 is the structural representation of the device of embodiment of the present invention process bullet train demand data.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, 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 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, belong to the scope of protection of the invention.
In embodiments of the present invention, need to build demand meta-model according to bullet train demand data, described bullet train demand data refers to the data acquisition collecting all specific requirements proposed for bullet train product about client obtained, described demand meta-model is the structural description to bullet train demand data, namely to tissue and the describing mode of bullet train demand data and relation thereof, all geometry, the structuring of technology and managerial bullet train demand data is integrated, described demand meta-model carries out abstract according to certain rule to bullet train demand data, and the information taken out is defined with the data structure adapted to and expressed, form the description to bullet train demand data.
The method of the process bullet train demand data that the embodiment of the present invention provides and device, mainly be supplied to user (train designer) carries out convenient and man-machine friendly process to the demand metamodel data set up, comprise the demand metamodel data that single structure node in the structure tree level to demand meta-model, a certain level is corresponding, and the object data comprised in demand meta-model, attribute data, relation data are modified, are deleted and the Data Update operation such as interpolation.The demand metamodel data of making has extensibility and dynamic, and user can be made to monitor demand metamodel data and safeguard.In addition, only subsequent need meta-model example is affected, the demand meta-model example used before not affecting to operations such as the amendment of demand meta-model and deletions.Wherein, demand metamodel data, refers to the bullet train demand data under described demand meta-model.
Embodiments provide a bullet train demand data template, for being supplied to user, the bullet train demand data of collecting, defining is processed, mainly the renewal rewards theory such as Information Monitoring, structured message, attributed information etc. are added, revised, deletion are comprised to the essential information of existing bullet train demand data, make bullet train demand data have extensibility and dynamic, user can monitor and safeguard relevant bullet train demand data by this bullet train demand data template.
The processing mode schematic diagram of bullet train demand data shown in Figure 1.
The interpolation of bullet train demand data: user can in bullet train demand data template, the bullet train demand data newly collected is added, comprise its title, Value Types, value scope, remarks, and structured message, attribute information add.
The amendment of bullet train demand data: user in bullet train demand data template, can modify to existing bullet train demand data, comprises its title, Value Types, value scope, remarks, and structured message, attribute information are modified.
The deletion of bullet train demand data: existing a certain bullet train demand data in bullet train demand data template, directly can be deleted by user.
The renewal of bullet train demand data: the bullet train demand data obtained after above-mentioned interpolation, amendment and deletion action, by the more New function in bullet train demand data template, directly carries out the change of robotization in bullet train demand database.
Based on foregoing, the schematic flow sheet (see Fig. 2) of the method for the process bullet train demand data that the embodiment of the present invention provides, comprising:
Step 201: detect the operation of user in bullet train demand data template.
Step 202: after detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation.
Because the embodiment of the present invention also has the automatically updating function of bullet train demand database, therefore, after detecting that user adds the first demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly add described first demand data.
Step 203: after detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data.
Because the embodiment of the present invention also has the automatically updating function of bullet train demand database, therefore, after detecting that user revises the second demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment.
Step 204: after detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
Because the embodiment of the present invention also has the automatically updating function of bullet train demand database, therefore, after detecting that user deletes the 3rd demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly remove described 3rd demand data.
Further, the visualization function schematic diagram of bullet train demand data shown in Figure 3, the embodiment of the present invention is also specifically checked bullet train demand data, the function retrieving, export, particularly:
Checking of bullet train demand data: user can according to categorical attribute tree and/or the mode of list, demand data item information corresponding in bullet train demand data template is checked, namely for the bullet train demand data template formed, conveniently user checks Template Information and related needs data item more clearly, comprise whole details of demand data item, title, Value Types, value scope, structural information and attribute information etc., the mode of categorical attribute tree and list visualization can be utilized to show.Therefore, when detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode.
The retrieval of bullet train demand data: by information retrieval modes such as demand data item title, level, attributes, retrieve the demand data item information in relevant a series of bullet train demand data template.Namely to the demand data item stored in demand database, be supplied to user in demand data template to the function that demand data item information is retrieved, user can retrieve the demand data item information stored in demand database easily, comprises the fuzzy search to demand data, precise search etc.Therefore, after the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
The output of bullet train demand data document: the result for retrieval of bullet train demand data can be made to carry out the output of form and document according to certain form, to be supplied to user according to the format module output report defined and document.Therefore, the embodiment of the present invention can export described 4th demand data in the mode of form and/or document; Described 5th demand data is exported in the mode of form and/or document.
In order to realize above-mentioned functions, the embodiment of the present invention needs to build described bullet train demand data template in advance, specifically bullet train demand data is divided according to level, and build described bullet train demand data template by the mode of successively adding demand data item, represent with the form of structure tree.Bullet train demand data template shown in Figure 4 builds one of schematic diagram and builds schematic diagram two with bullet train demand data template shown in Figure 5.
1, in window A, the attribute of the demand data item of the first level is respectively main body, key, passenger, total quality control (TotalQualityControl, be called for short TQC), the attribute of the demand data item of the second level is respectively running environment, road network, properity, function .....Wherein, running environment and road network are the child nodes of main body, and main body is the father node of running environment and road network; Stuctures and properties is crucial child node, and key is the father node of stuctures and properties; Function is the child node of passenger, and passenger is the father node of function; Etc..Visible, a-quadrant is used to attributive classification and demand data to be associated, the tree construction of attributive classification is inherited and is come by its dependency class definition, such as, when user is for " running environment " click " interpolation next stage " choice box, the then demand data item complete or collected works of pop-up window C, be used for choosing demand data item in batches, choose and to terminate and after preserving, then show the Property Name of the demand data item chosen out afterwards in " running environment ", these demand data Xiang Ze be checked are as the child node content of " running environment ".After choosing and going over, when clicking " amendment " choice box, also can the demand data item complete or collected works of pop-up window C, the inside shows the demand data item chosen and the demand data item do not chosen, user can by continuing to choose the child node content of adding " running environment ", also can choose the child node content of deleting " running environment " by removing, after demand data item is deleted, not affecting the follow-up example value kept.Wherein, right mouse button clicking " interpolation next stage " choice box or " amendment " choice box can be utilized.
Known based on foregoing:
For the bullet train demand data template built, if get the request of user's child node of the interpolation present node of input in first window (window A), then eject Second Window (window C), in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen.Wherein, if present node is " running environment ", then described request can be the interpolation request of clicking the triggering of " interpolation next stage " choice box by right key.
For the bullet train demand data template built, if get the request of user's child node of the amendment present node of input in first window (window A), then eject Second Window (window C), the all data item be checked are shown in described Second Window, or at least one first data item be checked and at least one second data item be not checked, described first data item is demand data corresponding to a child node under described present node, described second data item is not demand data corresponding to a child node under described present node, if detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.Wherein, if present node is " running environment ", then described request can be the interpolation request of clicking the triggering of " amendment " choice box by right key.
In addition, when clicking after " preservations " frame at window C, if for some attributive classifications click the mouse left button time, the corresponding demand data item set chosen can be demonstrated at window B.Therefore, if the data getting user's present node to current level of input in described first window (window A) check request, then all demand data items corresponding to described present node are shown at the 3rd window (window C).Wherein, if present node is " function ", then described data check request can be left button click " function " trigger check request.
The method of the process bullet train demand data that the embodiment of the present invention provides, based on bullet train demand data template, automatically can process bullet train demand data, comprise the interpolation to bullet train demand data, amendment and deletion, decrease the artificial work for the treatment of amount to bullet train demand data, for fast Development bullet train provides the mode effectively processing bullet train demand data.
See Fig. 6, the structural representation of the device of the process bullet train demand data provided for the embodiment of the present invention, this device 600 comprises:
Operation detection unit 601, for detecting the operation of user in bullet train demand data template;
Template adding device 602, for after detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation;
Template amendment unit 603, for after detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data;
Template delete cells 604, for after detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
In embodiments of the present invention, described device 600 also comprises:
Database adding device, for after detecting that user adds the first demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly adds described first demand data;
Database update unit, for after detecting that user revises the second demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment;
Database delete cells, for after detecting that user deletes the 3rd demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly removes described 3rd demand data.
In embodiments of the present invention, described device 600 also comprises:
Template checks unit, for when detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode;
Template retrieval unit, for after the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
In embodiments of the present invention, described device 600 also comprises:
First output unit, for exporting described 4th demand data in the mode of form and/or document;
Second output unit, for exporting described 5th demand data in the mode of form and/or document.
In embodiments of the present invention, described device 600 also comprises:
Template construction unit, for bullet train demand data being divided according to level, and builds described bullet train demand data template by the mode of successively adding demand data item;
Wherein, described template construction unit, comprising:
Node adds module, for for the bullet train demand data template built, if get the request of the child node of the interpolation present node that user inputs in first window, then eject Second Window, in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen;
Node modified module, for for the bullet train demand data template built, if get the request of the child node of the amendment present node that user inputs in first window, then eject Second Window, the all data item be checked are shown in described Second Window, or at least one first data item be checked and at least one second data item be not checked, described first data item is demand data corresponding to a child node under described present node, described second data item is not demand data corresponding to a child node under described present node, if detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.
Described template construction unit, also comprises:
Node checks module, if check request for the data getting the present node to current level that user inputs in described first window, then shows all demand data items corresponding to described present node at the 3rd window.
The device of the process bullet train demand data that the embodiment of the present invention provides, based on bullet train demand data template, automatically can process bullet train demand data, comprise the interpolation to bullet train demand data, amendment and deletion, decrease the artificial work for the treatment of amount to bullet train demand data, for fast Development bullet train provides the mode effectively processing bullet train demand data.
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 required 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 equipments such as such as media gateway, etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
It should be noted that, for device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
Also 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.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (12)
1. process a method for bullet train demand data, it is characterized in that, comprising:
After detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation;
After detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data;
After detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
2. method according to claim 1, is characterized in that,
Describedly also to comprise: in the demand database for preserving bullet train demand data after detecting that user adds the first demand data in bullet train demand data template, directly adding described first demand data;
Described after detecting that user revises the second demand data in bullet train demand data template, also comprise: in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment;
Describedly also to comprise: in the demand database for preserving bullet train demand data after detecting that user deletes the 3rd demand data in bullet train demand data template, directly removing described 3rd demand data.
3. method according to claim 1, is characterized in that, described method also comprises:
When detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode;
After the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
4. method according to claim 3, is characterized in that, described method also comprises:
Described 4th demand data is exported in the mode of form and/or document;
Described 5th demand data is exported in the mode of form and/or document.
5. the method according to any one of Claims 1-4, is characterized in that, before the described bullet train demand data template of operation, also comprises:
Bullet train demand data is divided according to level, and builds described bullet train demand data template by the mode of successively adding demand data item;
The described mode by successively adding demand data item builds described bullet train demand data template, comprising:
For the bullet train demand data template built, if get the request of the child node of the interpolation present node that user inputs in first window, then eject Second Window, in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen;
For the bullet train demand data template built, if get the request of the child node of the amendment present node that user inputs in first window, then eject Second Window, the all data item be checked or at least one first data item be checked and at least one second data item be not checked is shown in described Second Window, described first data item is demand data corresponding to a child node under described present node, and described second data item is not demand data corresponding to a child node under described present node; If detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.
6. method according to claim 5, is characterized in that,
If the data getting the present node to current level that user inputs in described first window check request, then show all demand data items corresponding to described present node at the 3rd window.
7. process a device for bullet train demand data, it is characterized in that, comprising:
Template adding device, for after detecting that user adds the first demand data in bullet train demand data template, described bullet train demand data template is preserved the first demand data of interpolation;
Template amendment unit, for after detecting that user revises the second demand data in bullet train demand data template, described bullet train demand data template preserves amended second demand data;
Template delete cells, for after detecting that user deletes the 3rd demand data in bullet train demand data template, described bullet train demand data template removes the 3rd demand data.
8. device according to claim 7, is characterized in that, described device also comprises:
Database adding device, for after detecting that user adds the first demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly adds described first demand data;
Database update unit, for after detecting that user revises the second demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, the second demand data before directly utilizing amended second demand data to replace amendment;
Database delete cells, for after detecting that user deletes the 3rd demand data in bullet train demand data template, in the demand database for preserving bullet train demand data, directly removes described 3rd demand data.
9. device according to claim 7, is characterized in that, described device also comprises:
Template checks unit, for when detect that user inputs in described bullet train demand data template to the 4th demand data check request after, described bullet train demand data template shows described 4th demand data, and the display mode of described 4th demand data is tree-like manner and/or list mode;
Template retrieval unit, for after the retrieval request to the 5th demand data that user inputs in described bullet train demand data template being detected, described bullet train demand data template shows described 5th demand data retrieved.
10. device according to claim 9, is characterized in that, described device also comprises:
First output unit, for exporting described 4th demand data in the mode of form and/or document;
Second output unit, for exporting described 5th demand data in the mode of form and/or document.
11. devices according to any one of claim 7 to 10, it is characterized in that, described device also comprises:
Template construction unit, for bullet train demand data being divided according to level, and builds described bullet train demand data template by the mode of successively adding demand data item;
Described template construction unit, comprising:
Node adds module, for for the bullet train demand data template built, if get the request of the child node of the interpolation present node that user inputs in first window, then eject Second Window, in described Second Window, show all optional data items; If after detecting that user has chosen demand data item in described Second Window, then after described present node, show all demand data items chosen;
Node modified module, for for the bullet train demand data template built, if get the request of the child node of the amendment present node that user inputs in first window, then eject Second Window, the all data item be checked are shown in described Second Window, or at least one first data item be checked and at least one second data item be not checked, described first data item is demand data corresponding to a child node under described present node, described second data item is not demand data corresponding to a child node under described present node, if detect user described Second Window carry out interpolation choose and/or remove choose data item operation after, then after described present node, show all data item chosen.
12. devices according to claim 11, is characterized in that, described template construction unit, also comprises:
Node checks module, if check request for the data getting the present node to current level that user inputs in described first window, then shows all demand data items corresponding to described present node at the 3rd window.
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