CN105787112A - Data presentation method and device - Google Patents
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Abstract
The invention provides a data presentation method and device. The method comprises steps as follows: various rule models are constructed, and a data set sent by at least one external management system is received; according to the various rule models, the data set is divided into various data subsets; first association relations among the various data subsets are established; when query target data are received, a target data subset where the target data are located is determined, and according to the first association relations, at least one associated data subset associated with the target data subset is determined; data of the target data subset and the at least one associated data subset are output. With the adoption of the scheme, associated data are presented completely.
Description
Technical field
The present invention relates to Computer Applied Technology field, particularly to a kind of data presentation method and device.
Background technology
Along with the fast development of communication technology, communication network is constantly evolved iteration, and the business of network equipment carrying grows with each passing day, and the data volume of generation is more and more huger, and data in being now able to the ins and outs of helping user to understand affairs or event, help user to solve problem.
At present, mainly through various special systems such as resource system, warning system, public security system etc., different data are recorded respectively and present, from each system, the single-point information of the simply single affairs that user can obtain, such as: user is by checking that resource system is only capable of recognizing the physical parameter information of a certain network equipment, if needing to know this network equipment warning information, need to check warning system, existing this data presentation mode, it is impossible to completely present the data of relatedness.
Summary of the invention
Embodiments provide a kind of data presentation method and device, it is achieved that completely present the data of relatedness.
A kind of data presentation method, builds each rule model, also includes:
Receive the data set that the management system of at least one peripheral hardware sends；
According to each rule model described, described data set is divided into each Sub Data Set；
Set up the first incidence relation between each Sub Data Set described；
When receiving inquiry target data, it is determined that the target Sub Data Set at described target data place, and according to described first incidence relation, it is determined that at least one the association Sub Data Set associated with described target Sub Data Set；
Export described target Sub Data Set and at least one data associating in Sub Data Set described.
Preferably, said method farther includes: set up Basic Information Table and AIT；
Each rule model described in described basis, is divided into each Sub Data Set by described data set, including:
Essential information is separated, it is judged that whether described Basic Information Table exists described essential information, if it is not, then described essential information is stored described Basic Information Table from described data set；
Utilize each rule model described respectively the data in described data set to be carried out and changed, form at least one attribute information；
Described at least one attribute information is stored described AIT；
Incidence relation between each Sub Data Set described in described foundation, including: set up described in described essential information and described AIT the 3rd incidence relation between the second incidence relation and each article of attribute information between at least one attribute information；
The described target Sub Data Set determining described target data place, and according to described first incidence relation, determine at least one the association Sub Data Set associated with described target Sub Data Set, comprise determining that the target property information that described target data is corresponding, according to described second incidence relation and described 3rd incidence relation, it is determined that the relating attribute information of described target property information；
Described output described target Sub Data Set with described at least one associate the data in Sub Data Set, including: export the relating attribute information of described target property information and described target property information.
Preferably, said method farther includes: builds at least one related information table, and is that at least one related information table described generates corresponding chained address；
Described described at least one attribute information stored described AIT after, before the 3rd incidence relation between described the second incidence relation and described at least one attribute information setting up described in described essential information and described AIT between at least one attribute information, farther include: generate corresponding key value for each attribute information in described AIT；
The 3rd incidence relation between described the second incidence relation and each article of attribute information setting up described in described essential information and described AIT between at least one attribute information, including: each for each bar attribute information including identical data self-corresponding key value is synchronized to same related information table；Chained address corresponding for the related information table relevant to described essential information is stored the relation information row in described Basic Information Table；
The described target property information determining that described target data is corresponding, according to described second incidence relation and described 3rd incidence relation, determine the relating attribute information of described target property information, comprise determining that the Object linking address that described target data is corresponding, destination-related information table is determined according to described Object linking address, and according to each the target key value in described destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；
The relating attribute information of the described target property information of described output and described target property information, including: export the attribute information that in described AIT, each target key value is corresponding.
Preferably, each rule model described, including:
Any one or more in one people one grade rule model, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model.
Preferably, said method is applied to OSS；
Described one grade of rule model of a people, including: according to any one or more in client, employee, maintenance personnel, data set is classified；
Described one grade of rule model of a thing, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified；
Described one grade of rule model of a thing, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified；
The one grade of rule model in a described ground, including: according to residence network community, business premises, data set is classified.
A kind of data presenting apparatus, including: model construction unit, data processing unit, relation construction unit and determine output unit, wherein,
Described model construction unit, is used for building each rule model, and each rule model described is supplied to described data processing unit；
Described data processing unit, the data set that the management system for receiving at least one peripheral hardware sends；And according to each rule model that described model construction unit provides, described data set is divided into each Sub Data Set, and each Sub Data Set described is supplied to described relation construction unit；
Described relation construction unit, for setting up the first incidence relation between each Sub Data Set that described data processing unit provides, and is supplied to described first incidence relation and described determines output unit；
Described determine output unit, for when receiving inquiry target data, determine the target Sub Data Set at described target data place, and according to the first incidence relation that described relation construction unit provides, determine at least one the association Sub Data Set associated with described target Sub Data Set, export described target Sub Data Set and at least one data associating in Sub Data Set described.
Preferably, above-mentioned data presenting apparatus farther includes: information table construction unit, wherein,
Described information table construction unit, is used for setting up Basic Information Table and AIT, and described Basic Information Table and AIT is supplied to described data processing unit；
Described data processing unit, for separating essential information, it is judged that whether there is described essential information in described Basic Information Table, if it is not, then described essential information is stored described Basic Information Table from described data set；Utilize each rule model described respectively the data in described data set to be carried out and changed, form at least one attribute information；Described at least one attribute information is stored described AIT, and described essential information and the AIT storing attribute information are supplied to described relation construction unit；
Described relation construction unit, for setting up in the essential information and AIT that described data processing unit provides the 3rd incidence relation between the second incidence relation and each article of attribute information between attribute information, and described second incidence relation and described 3rd incidence relation are supplied to described determine output unit；
Described determine output unit, for determining the target property information that described target data is corresponding, the second incidence relation provided according to described relation construction unit and described 3rd incidence relation, it is determined that the relating attribute information of described target property information；Export the relating attribute information of described target property information and described target property information.
Preferably, described information table construction unit, it is further used for building at least one related information table, and is that at least one related information table described generates corresponding chained address；
Described data processing unit, for generating corresponding key value for each attribute information in described at least one attribute information, and is supplied to described relation construction unit by described key value；
Described relation construction unit, is synchronized to same related information table by each for each bar attribute information including identical data self-corresponding key value；Chained address corresponding for the related information table relevant to described essential information is stored the relation information row in described Basic Information Table；
Described determine output unit, for determining Object linking address, destination-related information table is determined according to described Object linking address, and according to each the target key value in described destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；Export the attribute information that in described AIT, each target key value is corresponding.
Preferably, described model construction unit, any one or more for what build in one grade of rule model of a people, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model.
Preferably, above-mentioned data presenting apparatus, it is applied to OSS；
Described one grade of rule model of a people, including: according to any one or more in client, employee, maintenance personnel, data set is classified；
Described one grade of rule model of a thing, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified；
Described one grade of rule model of a thing, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified；
The one grade of rule model in a described ground, including: according to residence network community, business premises, data set is classified.
Embodiments providing a kind of data presentation method and device, the method is by building each rule model；Receive the data set that the management system of at least one peripheral hardware sends；According to each rule model, data set is divided into each Sub Data Set, the data that data are concentrated carry out taxonomic revision, it it is the basis that presents of follow-up data, by setting up the first incidence relation between each Sub Data Set, the data of relevant property are associated, so, complete data can be presented according to earthquake centre incidence relation is detailed as far as possible in follow-up data presents, namely when receiving inquiry target data, determine the target Sub Data Set at target data place, and according to the first incidence relation, determine at least one the association Sub Data Set associated with target Sub Data Set；Output target Sub Data Set associates the data in Sub Data Set with at least one, it is achieved that completely present the data of relatedness.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described 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 premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of a kind of data presentation method that one embodiment of the invention provides；
Fig. 2 is the flow chart of a kind of data presentation method that another embodiment of the present invention provides；
Fig. 3 is the structural representation of one grade of rule model of people that one embodiment of the invention provides；
Fig. 4 is the structural representation of one grade of rule model of thing that one embodiment of the invention provides；
Fig. 5 is the structural representation of one grade of rule model of thing that one embodiment of the invention provides；
Fig. 6 is the structural representation of the one grade of rule model in ground that one embodiment of the invention provides；
Fig. 7 is the structural representation of a kind of data presenting apparatus that one embodiment of the invention provides；
Fig. 8 is the structural representation of a kind of data presenting apparatus that another embodiment of the present invention provides.
Detailed description of the invention
For making the purpose 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 a part of embodiment of the present invention, rather than whole embodiments, based on the embodiment in the present invention; the every other embodiment that those of ordinary skill in the art obtain under the premise not making creative work, broadly falls into the scope of protection of the invention.
As it is shown in figure 1, embodiments provide a kind of data presentation method, the method may comprise steps of:
Step 101: build each rule model；
Step 102: receive the data set that the management system of at least one peripheral hardware sends；
Step 103: according to each rule model, is divided into each Sub Data Set by data set；
Step 104: set up the first incidence relation between each Sub Data Set；
Step 105: when receiving inquiry target data, it is determined that the target Sub Data Set at target data place, and according to the first incidence relation, it is determined that at least one the association Sub Data Set associated with target Sub Data Set；
Step 106: output target Sub Data Set associates the data in Sub Data Set with at least one.
In the embodiment shown in fig. 1, by building each rule model；Receive the data set that the management system of at least one peripheral hardware sends；According to each rule model, data set is divided into each Sub Data Set, the data that data are concentrated carry out taxonomic revision, it it is the basis that presents of follow-up data, by setting up the first incidence relation between each Sub Data Set, the data of relevant property are associated, so, complete data can be presented according to earthquake centre incidence relation is detailed as far as possible in follow-up data presents, namely when receiving inquiry target data, determine the target Sub Data Set at target data place, and according to the first incidence relation, determine at least one the association Sub Data Set associated with target Sub Data Set；Output target Sub Data Set associates the data in Sub Data Set with at least one, it is achieved that the relatedness data completely presented.
In an embodiment of the invention, said method farther includes: set up Basic Information Table and AIT；The detailed description of the invention of step 103, including: from data set, separate essential information, it is judged that whether Basic Information Table exists essential information, if it is not, then essential information is stored Basic Information Table；Utilize the data that data are concentrated by each rule model to be respectively carried out and change, form at least one attribute information；At least one attribute information is stored AIT；The detailed description of the invention of step 104, including: set up in essential information and AIT the 3rd incidence relation between the second incidence relation and each article of attribute information between at least one attribute information；The detailed description of the invention of step 105, comprises determining that the target property information that target data is corresponding, according to the second incidence relation and the 3rd incidence relation, it is determined that the relating attribute information of target property information；The detailed description of the invention of step 106, including: the relating attribute information of output target property information and target property information, said process, data classification is stored in different information tables, it is achieved that to data standardized management.
In an embodiment of the invention, said method farther includes: builds at least one related information table, and is that at least one related information table generates corresponding chained address；After at least one attribute information is stored AIT, in setting up essential information and AIT before the 3rd incidence relation between the second incidence relation and at least one attribute information between at least one attribute information, farther include: be that at least one attribute information, each attribute information generates corresponding key value；Set up in essential information and AIT the detailed description of the invention of the 3rd incidence relation between the second incidence relation and each article of attribute information between at least one attribute information, including: each for each bar attribute information including identical data self-corresponding key value is synchronized to same related information table；Chained address corresponding for the related information table relevant to essential information is stored the relation information row in Basic Information Table；Determine the target property information that target data is corresponding, according to the second incidence relation and described 3rd incidence relation, determine the detailed description of the invention of the relating attribute information of target property information, comprise determining that the Object linking address that target data is corresponding, destination-related information table is determined according to Object linking address, and according to each the target key value in destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；The detailed description of the invention of the relating attribute information of output target property information and target property information, including: the attribute information that in output attribute information table, each target key value is corresponding, by the related information table set up, the key value with the attribute information of relatedness is stored in same related information table, so, there is the association between the data of incidence relation to be realized by related information table, without directly setting up incidence relation complicated between data, when this related information table is checked in the chained address being generated correspondence by related information table, the data of relatedness are provided according to the key value of storage in related information table, data are made to present more efficient and convenient.
In an embodiment of the invention, each rule model, including: any one or more in a people one grade rule model, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model, achieve and classify for data so that single-point information can multi-angle, multi-level solid present.
In an embodiment of the invention, the method for submitting a written statement to a higher authority is applied to OSS；One people one grade rule model, including: according to any one or more in client, employee, maintenance personnel, data set is classified；One thing one grade rule model, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified；One thing one grade rule model, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified；One one grade of ground rule model, including: according to residence network community, business premises, data set being classified, data can omnibearing be decomposed by this classifying rules, it is ensured that data can by reasonable arrangement.
For making the object, technical solutions and advantages of the present invention clearly, data in different system, to be applied in OSS, are integrated and relatedness are rendered as example, launch data presentation method is described by the embodiment of the present invention, as in figure 2 it is shown, the method may comprise steps of:
Step 200: build each rule model；
In this step, mainly construct one grade of rule model of a people, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model, wherein, one people one grade rule model, including: according to any one or more in client, employee, maintenance personnel, data set is classified (as shown in Figure 3)；One thing one grade rule model, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified (as shown in Figure 4)；One thing one grade rule model, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified (as shown in Figure 5)；One one grade of ground rule model, including: according to residence network community, business premises, data set is classified (as shown in Figure 6).It can be seen that include the data of relatedness between each grade from each figure, but also there are the data of diversity, by these four rule model, data classified so that data present more various dimensions, multi-angle.
Step 201: set up Basic Information Table and AIT；
This step mainly sets up Basic Information Table and AIT in data base, and to realize the storage of the standardization to data and management, Basic Information Table and AIT that this step is set up can belong in a big table, it is possible to belong in different tables.
Step 202: build at least one related information table, and be that at least one related information table generates corresponding chained address；
The related information table that this step builds is the bridge between Basic Information Table and AIT, and the related information table that namely essential information in Basic Information Table is built by this step with the attribute information in AIT associates.
Step 203: receive the data set that the management system of at least one peripheral hardware sends；
OSS platform is usually connected with the management system of peripheral hardware such as resource system, warning system and public security system etc., such as: data b, the data c of reception public security system transmission that the data a of its reception resource system transmission, reception warning system send, this data a, data b and data c consist of data set 1{ data a, data b, data c}.What deserves to be explained is, in this step, the management system of peripheral hardware can be passed through the methods such as real-time Transmission, regular schedule, condition triggering, artificial importing and send data.
Step 204: separate essential information from data set, it is judged that whether there is this essential information in Basic Information Table, if it is, directly perform step 206；Otherwise, step 205 is performed；
Tentation data a, data b and data c belong to a network equipment, are separated essential information such as network equipment title, the network equipment position etc. of this network equipment by the rule model of a thing one grade.If the essential information of this network equipment does not store in Basic Information Table, then need to add the essential information of this network equipment in Basic Information Table.
Step 205: essential information is stored Basic Information Table；
Step 206: utilize the data that data are concentrated by each rule model to be respectively carried out and change, form at least one attribute information；
Such as: be utilized respectively one grade of rule model of a people, data set 1{ data a, data b, data c} are carried out and change by one grade of rule model of a thing, one grade of ground rule model, namely each rule model only extracts the information relevant to oneself, only extracts the essential information being related to people and the maintenance event of corresponding event such as a certain maintainer such as one grade of rule model of a people；One thing one grade rule model only extracts the event such as maintenance event etc. comprised in data set 1.Tentation data collection 1{ data a, data b, data c} are pertaining only to a network equipment, the information about each client of this network equipment, each maintainer can be extracted by a people one grade, this each client, each maintainer information respectively as an attribute information, again such as: this data set only comprises an event, that passes through one grade of rule model of a thing, by this Event Distillation out, an independent attribute information is also served as.
Step 207: at least one attribute information is stored AIT；
Step 208: generate corresponding key value for each attribute information in AIT；
In this step, in same AIT, each key value is unique, to facilitate positioning properties information.
Step 209: each for each bar attribute information including identical data self-corresponding key value is synchronized to same related information table；
Step 210: chained address corresponding for the related information table relevant to essential information is stored the relation information row in Basic Information Table；
According to above-mentioned steps, shown in Basic Information Table, AIT and related information table storage content such as table 1 below, table 2 and table 3:
Table 1 Basic Information Table
Table 2 AIT
Table 3 related information table
For above-mentioned table 1, table 2 and table 3, launch to illustrate that step 207 implements process to step 210.nullTitle is obtained: ×× CBDM by above-mentioned steps 204、Longitude: 40.37 etc. essential informations are stored in table 1，And generate a corresponding key value for this essential information，Oneth key value can position the position of essential information，And pass through data cleansing、Conversion etc. obtains two attribute informations，It is stored in table 2，And the 2nd key value of correspondence is generated respectively for these two articles of attribute informations，Respectively 20129313 and 23920934，Owing to these two attribute informations belong to the ×× CBDM network equipment，Then between these two attribute informations, there is incidence relation，Then by 20129313 and 23920934 storages to the related information table shown in table 3，And the chained address of this table 3 is Alarm_122086414，It is stored in the related information row bunch of table 1.
By foregoing description it can be seen that above-mentioned table 3 is the bridge between table 1 and table 2, namely the key value in table 2 stores in table 3, and the chained address of table 3 is Alarm_122086414, and storage is in Table 1.
Said process is to store data into the process in data base, and following step is by the process that data present.
Step 211: when receiving inquiry target data, it is determined that the Object linking address that target data is corresponding；
Step 212: determine destination-related information table according to Object linking address；
Step 213: according to each the target key value in destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；
Step 214: the attribute information that in output attribute information table, each target key value is corresponding.
Step 211, to the process of step 214, is launched to illustrate for above-mentioned table 1, table 2 and table 3, and when user inquires about the warning information of ×× CBDM, navigating to relation information table corresponding to Object linking address Alarm_122086414, Alarm_122086414 is table 3.Key value 20129313 and 23920934 in table 3 is present in table 2, then navigate to key value in table 2 be 20129313 and 23920934 correspondences attribute information, and export the attribute information of 20129313 and 23920934 correspondences.Alarm in above-mentioned table is absent from related information, and if it is the words of event, often there is related information, then key value that the attribute information of event the is corresponding key value corresponding with the related information of event is stored in same relation information table, so that related information can present simultaneously.
As it is shown in fig. 7, a kind of data presenting apparatus that the present embodiment provides, including: model construction unit 701, data processing unit 702, relation construction unit 703 and determine output unit 704, wherein,
Model construction unit 701, is used for building each rule model, and each rule model is supplied to data processing unit 702；
Data processing unit 702, the data set that the management system for receiving at least one peripheral hardware sends；And according to each rule model that model construction unit 701 provides, data set is divided into each Sub Data Set, and each Sub Data Set is supplied to relation construction unit 703；
Relation construction unit 703, for setting up the first incidence relation between each Sub Data Set that data processing unit 702 provides, and is supplied to the first incidence relation and determines output unit 704；
Determine output unit 704, for when receiving inquiry target data, determine the target Sub Data Set at target data place, and according to the first incidence relation that relation construction unit 703 provides, determining at least one the association Sub Data Set associated with target Sub Data Set, output target Sub Data Set associates the data in Sub Data Set with at least one.
As shown in Figure 8, in an alternative embodiment of the invention, above-mentioned data presenting apparatus, farther include: information table construction unit 801, wherein,
Information table construction unit 801, is used for setting up Basic Information Table and AIT, and Basic Information Table and AIT is supplied to data processing unit 702；
Data processing unit 702, for separating essential information, it is judged that whether there is essential information in Basic Information Table, if it is not, then essential information is stored Basic Information Table from data set；Utilize the data that data are concentrated by each rule model to be respectively carried out and change, form at least one attribute information；At least one attribute information is stored AIT, and essential information and the AIT storing attribute information are supplied to relation construction unit 703；
Relation construction unit 703, for setting up in the essential information and AIT that data processing unit 702 provides the 3rd incidence relation between the second incidence relation and each article of attribute information between attribute information, and the second incidence relation and the 3rd incidence relation are supplied to and determine output unit 704；
Determine output unit 704, for determining the target property information that target data is corresponding, according to the second incidence relation of relation construction unit 703 offer and the 3rd incidence relation, it is determined that the relating attribute information of target property information；The relating attribute information of output target property information and target property information.
In an alternative embodiment of the invention, information table construction unit 801, it is further used for building at least one related information table, and is that at least one related information table generates corresponding chained address；
Data processing unit 702, is used for being that at least one attribute information, each attribute information generates corresponding key value, and key value is supplied to relation construction unit 703；
Relation construction unit 703, is synchronized to same related information table by each for each bar attribute information including identical data self-corresponding key value；Chained address corresponding for the related information table relevant to essential information is stored the relation information row in Basic Information Table；
Determine output unit 704, be used for determining Object linking address, determine destination-related information table according to Object linking address, and according to each the target key value in destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；The attribute information that in output attribute information table, each target key value is corresponding.
The contents such as the information between each unit in said apparatus is mutual, execution process, due to the inventive method embodiment based on same design, particular content referring to the narration in the inventive method embodiment, can repeat no more herein.
According to such scheme, data presentation method that various embodiments of the present invention provide and device, at least have the advantages that
1. by building each rule model；Receive the data set that the management system of at least one peripheral hardware sends；According to each rule model, data set is divided into each Sub Data Set, the data that data are concentrated carry out taxonomic revision, it it is the basis that presents of follow-up data, by setting up the first incidence relation between each Sub Data Set, the data of relevant property are associated, so, complete data can be presented according to earthquake centre incidence relation is detailed as far as possible in follow-up data presents, namely when receiving inquiry target data, determine the target Sub Data Set at target data place, and according to the first incidence relation, determine at least one the association Sub Data Set associated with target Sub Data Set；Output target Sub Data Set associates the data in Sub Data Set with at least one, it is achieved that the relatedness data completely presented.
2. the embodiment of the present invention, by one grade of rule model of a people, one thing one grade rule model, data are carried out and change by any one or more in one thing one grade rule model and one grade of ground rule model, form at least one attribute information, realize from multiple dimensions, data are classified and manage by multiple angles, data are enable to be compared specification and complete storage, simultaneously, for setting up incidence relation between each attribute information sorted, and for also to set up association between attribute information and essential information, making between the attribute data of each relatedness can joint investigation, namely when user looks into a certain data point, the data relevant with this data point also can present to user, further ensure the realization of the relatedness data completely presented.
3. in embodiments of the present invention, by building related information table, the key value with the attribute information of relatedness is stored to related information table, and the chained address of related information table is stored the related information row that essential information in Basic Information Table is corresponding, by this process, making related information telogenesis is the bridge between Basic Information Table and AIT, namely the key value storage having only to the attribute information by having relatedness establishes the incidence relation between attribute information to related information table, make the simpler convenience of structure of incidence relation, it is effectively improved the efficiency of management.
4. in embodiments of the present invention, when target data is inquired about, chained address can be positioned according to target data, destination-related information table is determined by chained address, have only to the attribute information by key value in destination-related information table is corresponding present, it is possible to present partial data efficiently, quickly.
It should be noted that, in this article, the relational terms of such as first and second etc is used merely to separate an entity or operation with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment.When there is no more restriction, statement " including a 〃 " key element limited, it is not excluded that there is also other same factor in including the process of described key element, method, article or equipment.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can be completed by the hardware that programmed instruction is relevant, aforesaid program can be stored in the storage medium of embodied on computer readable, this program upon execution, performs to include the step of said method embodiment；And aforesaid storage medium includes: in the various media that can store program code such as ROM, RAM, magnetic disc or CD.
Last it should be understood that the foregoing is only presently preferred embodiments of the present invention, it is merely to illustrate technical scheme, is not intended to limit protection scope of the present invention.All make within the spirit and principles in the present invention any amendment, equivalent replacement, improvement etc., be all contained in protection scope of the present invention.
Claims (10)
1. a data presentation method, it is characterised in that build each rule model, also include:
Receive the data set that the management system of at least one peripheral hardware sends；
According to each rule model described, described data set is divided into each Sub Data Set；
Set up the first incidence relation between each Sub Data Set described；
When receiving inquiry target data, it is determined that the target Sub Data Set at described target data place, and according to described first incidence relation, it is determined that at least one the association Sub Data Set associated with described target Sub Data Set；
Export described target Sub Data Set and at least one data associating in Sub Data Set described.
2. method according to claim 1, it is characterised in that farther include: set up Basic Information Table and AIT；
Each rule model described in described basis, is divided into each Sub Data Set by described data set, including:
Essential information is separated, it is judged that whether described Basic Information Table exists described essential information, if it is not, then described essential information is stored described Basic Information Table from described data set；
Utilize each rule model described respectively the data in described data set to be carried out and changed, form at least one attribute information；
Described at least one attribute information is stored described AIT；
Incidence relation between each Sub Data Set described in described foundation, including: set up described in described essential information and described AIT the 3rd incidence relation between the second incidence relation and each article of attribute information between at least one attribute information；
The described target Sub Data Set determining described target data place, and according to described first incidence relation, determine at least one the association Sub Data Set associated with described target Sub Data Set, comprise determining that the target property information that described target data is corresponding, according to described second incidence relation and described 3rd incidence relation, it is determined that the relating attribute information of described target property information；
Described output described target Sub Data Set with described at least one associate the data in Sub Data Set, including: export the relating attribute information of described target property information and described target property information.
3. method according to claim 2, it is characterised in that farther include: build at least one related information table, and be that at least one related information table described generates corresponding chained address；
Described described at least one attribute information stored described AIT after, before the 3rd incidence relation between described the second incidence relation and described at least one attribute information setting up described in described essential information and described AIT between at least one attribute information, farther include: generate corresponding key value for each attribute information in described AIT；
The 3rd incidence relation between described the second incidence relation and each article of attribute information setting up described in described essential information and described AIT between at least one attribute information, including: each for each bar attribute information including identical data self-corresponding key value is synchronized to same related information table；Chained address corresponding for the related information table relevant to described essential information is stored the relation information row in described Basic Information Table；
The described target property information determining that described target data is corresponding, according to described second incidence relation and described 3rd incidence relation, determine the relating attribute information of described target property information, comprise determining that the Object linking address that described target data is corresponding, destination-related information table is determined according to described Object linking address, and according to each the target key value in described destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；
The relating attribute information of the described target property information of described output and described target property information, including: export the attribute information that in described AIT, each target key value is corresponding.
4. according to the arbitrary described method of claims 1 to 3, it is characterised in that each rule model described, including:
Any one or more in one people one grade rule model, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model.
5. method according to claim 4, it is characterised in that be applied to OSS；
Described one grade of rule model of a people, including: according to any one or more in client, employee, maintenance personnel, data set is classified；
Described one grade of rule model of a thing, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified；
Described one grade of rule model of a thing, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified；
The one grade of rule model in a described ground, including: according to residence network community, business premises, data set is classified.
6. a data presenting apparatus, it is characterised in that including: model construction unit, data processing unit, relation construction unit and determine output unit, wherein,
Described model construction unit, is used for building each rule model, and each rule model described is supplied to described data processing unit；
Described data processing unit, the data set that the management system for receiving at least one peripheral hardware sends；And according to each rule model that described model construction unit provides, described data set is divided into each Sub Data Set, and each Sub Data Set described is supplied to described relation construction unit；
Described relation construction unit, for setting up the first incidence relation between each Sub Data Set that described data processing unit provides, and is supplied to described first incidence relation and described determines output unit；
Described determine output unit, for when receiving inquiry target data, determine the target Sub Data Set at described target data place, and according to the first incidence relation that described relation construction unit provides, determine at least one the association Sub Data Set associated with described target Sub Data Set, export described target Sub Data Set and at least one data associating in Sub Data Set described.
7. data presenting apparatus according to claim 6, it is characterised in that farther include: information table construction unit, wherein,
Described information table construction unit, is used for setting up Basic Information Table and AIT, and described Basic Information Table and AIT is supplied to described data processing unit；
Described data processing unit, for separating essential information, it is judged that whether there is described essential information in described Basic Information Table, if it is not, then described essential information is stored described Basic Information Table from described data set；Utilize each rule model described respectively the data in described data set to be carried out and changed, form at least one attribute information；Described at least one attribute information is stored described AIT, and described essential information and the AIT storing attribute information are supplied to described relation construction unit；
Described relation construction unit, for setting up in the essential information and AIT that described data processing unit provides the 3rd incidence relation between the second incidence relation and each article of attribute information between attribute information, and described second incidence relation and described 3rd incidence relation are supplied to described determine output unit；
Described determine output unit, for determining the target property information that described target data is corresponding, the second incidence relation provided according to described relation construction unit and described 3rd incidence relation, it is determined that the relating attribute information of described target property information；Export the relating attribute information of described target property information and described target property information.
8. data presenting apparatus according to claim 7, it is characterised in that
Described information table construction unit, is further used for building at least one related information table, and is that at least one related information table described generates corresponding chained address；
Described data processing unit, for generating corresponding key value for each attribute information in described at least one attribute information, and is supplied to described relation construction unit by described key value；
Described relation construction unit, is synchronized to same related information table by each for each bar attribute information including identical data self-corresponding key value；Chained address corresponding for the related information table relevant to described essential information is stored the relation information row in described Basic Information Table；
Described determine output unit, for determining Object linking address, destination-related information table is determined according to described Object linking address, and according to each the target key value in described destination-related information table, it is determined that the attribute information that in AIT, each target key value is corresponding；Export the attribute information that in described AIT, each target key value is corresponding.
9. according to the arbitrary described data presenting apparatus of claim 6 to 8, it is characterised in that
Described model construction unit, any one or more for what build in one grade of rule model of a people, one grade of rule model of a thing, one grade of rule model of a thing and one grade of ground rule model.
10. data presenting apparatus according to claim 9, it is characterised in that be applied to OSS；
Described one grade of rule model of a people, including: according to any one or more in client, employee, maintenance personnel, data set is classified；
Described one grade of rule model of a thing, including: any one or more according in troubleshooting event, complaint handling event, optimization process event, network cutover event, set-off service fulfillment event, family visitor service fulfillment event, data set is classified；
Described one grade of rule model of a thing, including: according to base attribute information, history alarm information, historical performance information, historical events, data set is classified；
The one grade of rule model in a described ground, including: according to residence network community, business premises, data set is classified.
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