CN103745262A - Data collection method and device - Google Patents
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- CN103745262A CN103745262A CN201310746318.XA CN201310746318A CN103745262A CN 103745262 A CN103745262 A CN 103745262A CN 201310746318 A CN201310746318 A CN 201310746318A CN 103745262 A CN103745262 A CN 103745262A
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Abstract
The invention discloses a data collection method and a data collection device. The data collection method comprises the following steps: acquiring target data, wherein the target data comprise a target identifier; determining the data type of the target data according to the target identifier; searching a typed data group corresponding to the data type; collecting the target data into the typed data group. According to the data collection method and the data collection device, when the target data of the same type need to be acquired, only the corresponding typed data group is searched, so that the searching time is shortened, data resources occupied for searching for the target data are saved, and the working efficiency is improved.
Description
Technical field
The present invention relates to technical field of data processing, relate in particular a kind of purpose data classifying method and device.
Background technology
In a lot of applications, may use mass data, and the type of data is also not quite similar, in engineering construction technical field, will use mass data, this mass data refers in process of construction and uses various expenses, as cost of construction, fee of material, original equipment cost, mounting cost etc.
In the prior art, mass data is messy being stored in database or other storage unit all, do not unify classification, in the time need to obtaining the data of same type, often need to spend the plenty of time, taken mass data resource, and work efficiency is lower.
Summary of the invention
In view of this, the invention provides a kind of method and apparatus of purpose data classifying, to reduce the expense of data resource, increase work efficiency.
For achieving the above object, the invention provides following technical scheme:
A kind of purpose data classifying method, the method comprises:
Obtain target data, described target data comprises target identification;
According to described target identification, determine the data type of described target data;
Search the categorical data group corresponding with described data type;
Described target data is collected in described categorical data group.
Preferably, the described target identification of described foundation is determined the data type of described target data, is specially:
Described target identification is mated with the target identification collection in default corresponding relation, to determine the data type of described target data; Wherein, corresponding relation is the corresponding relation of target identification collection and each data type.
Preferably, in described categorical data group, be preset with normal data, described described target data is collected in described categorical data group after, also comprise:
Add up all target datas in described categorical data group, determine statistics;
Calculate and export the difference of described statistics and described normal data.
Preferably, described calculating and export the difference of described statistics and described normal data after, also comprise:
Judge whether described difference is greater than default standard deviation;
When described difference is greater than described standard deviation, generate and export information.
Preferably, described described target data is collected in described categorical data group after, also comprise:
Receive the first inquiry request, in described the first inquiry request, carry data type;
Search the categorical data group corresponding with data type in described the first inquiry request;
Export all target datas in described categorical data group.
Preferably, described in obtain target data after, also comprise:
Determine the acquisition time of described target data;
According to default search rule, search the time data group collection suitable with described acquisition time;
Describedly search the categorical data group corresponding with described data type and be specially:
In described time data group, concentrate and search the categorical data group corresponding with described data type.
Preferably, described described target data is collected in described categorical data group after, also comprise:
Receive the second inquiry request, in described the second inquiry request, carry query time;
Search the time data group collection corresponding with query time in described the second inquiry request;
Export all target datas in described time data group concentrated all types data group and all types data group.
A kind of purpose data classifying device, this device comprises:
The first acquiring unit, for obtaining target data, described target data comprises target identification;
The first determining unit, for determining the data type of described target data according to described target identification;
First searches unit, for searching the categorical data group corresponding with described data type;
First collects unit, for described target data being collected to described categorical data group.
Preferably, described the first determining unit comprises the first presetting module and coupling determination module;
Described the first presetting module is for presetting the corresponding relation of target identification collection and each data type;
Described coupling determination module is for mating described target identification, to determine the data type of described target data with the target identification collection of default corresponding relation.
Preferably, in described categorical data group, be preset with normal data, this device also comprises:
The first statistic unit, for adding up all target datas of described categorical data group, determines statistics;
The first computing unit, for calculating and export the difference of described statistics and described normal data.
Preferably, also comprise:
The first judging unit, for judging whether described difference is greater than default standard deviation;
Generate output unit, for when described difference is greater than described standard deviation, generate and export information.
Preferably, also comprise:
The first receiving element, for receiving the first inquiry request, carries data type in described the first inquiry request;
Second searches unit, for searching the categorical data group corresponding with the data type of described the first inquiry request;
The first output unit, for exporting all target datas of described categorical data group.
Preferably, it is characterized in that, also comprise:
The second determining unit, for determining the acquisition time of described target data;
The 3rd searches unit, for the search rule according to default, searches the time data group collection suitable with described acquisition time;
Described first searches unit, specifically for concentrating and search the categorical data group corresponding with described data type in described time data group.
Preferably, also comprise:
The second receiving element, for receiving the second inquiry request, carries query time in described the second inquiry request;
The 4th searches unit, for searching the time data group collection corresponding with the query time of described the second inquiry request;
The second output unit, for exporting the concentrated all types data group of described time data group and all target datas of all types data group.
Known via above-mentioned technical scheme, compared with prior art, the present invention openly provides a kind of purpose data classifying method and device, in the method, by obtaining target data, described target data comprises target identification, according to described target identification, determine the data type of described target data, search the categorical data group corresponding with described data type, the most described target data collects in described categorical data group, in the present invention, target data can be collected in the categorical data group corresponding with it, in the time need to obtaining the target data of same type, only need search the categorical data group corresponding with it, saved the time of searching, reduced and searched the shared data resource of target data, improved work efficiency.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skills, do not paying under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
The schematic flow sheet of a kind of purpose data classifying method that Fig. 1 provides for the embodiment of the present invention;
The schematic flow sheet of a kind of purpose data classifying method that Fig. 2 provides for the embodiment of the present invention;
The structural representation of a kind of purpose data classifying device that Fig. 3 provides for the embodiment of the present invention;
The structural representation of a kind of purpose data classifying device that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment mono-,
The embodiment of the present invention one discloses a kind of purpose data classifying method, and as shown in Figure 1, the method can comprise:
Step 101: obtain target data, described target data comprises target identification;
While carrying out purpose data classifying, statistician sends target data as sender, in this target data, includes target identification, and target identification can characterize the source of this target data;
For example, the target identification of target data is transportation equipment, can learn so, and this target data is the expense of transportation equipment.
Step 102: the data type of determining described target data according to described target identification;
The target identification difference of different target datas, its data type also may be different, can determine the data type of this target data by target identification.
Concrete, can be preset with the corresponding relation of target identification collection and each data type, by target identification is mated with the target label collection in default corresponding relation, determine the data type of target data.
For example, data type can be divided into equipment, material, building etc., and take device data as example, it is corresponding as transportation equipment, operation tool, surveying instrument etc. that the target identification corresponding with it integrates, and certainly, the concentrated target identification of target identification can carry out refinement.
The concentrated target identification of concrete corresponding relation and target identification all can be set according to the entrained target identification of target data, in this not concrete restriction.
Step 103: search the categorical data group corresponding with described data type;
Wherein, categorical data group divides with data type, and the data type of the target data in same type data group is identical, and for example, the data type of the target data in device data group is equipment.
Wherein, or categorical data group can be stored in database in other storage unit with predetermined manner, the memory location difference of different types of data group;
For example, in the mode of form, store, in same type data group, all target datas account for same a line or same row, and at first trip or first, identify the data type of the type data group.
Step 104: described target data is collected in described categorical data group.
In the present embodiment, target data can be collected in the categorical data group corresponding with it, be that target data type in same type data group is identical, when obtaining in the target data of same type, only need search categorical data group, saved the time of searching, reduced and searched the shared data resource of target data, work efficiency is provided.
Embodiment bis-,
Wherein, for the ease of statistician check target data in categorical data group whether default expect in, the invention process two discloses a kind of purpose data classifying method, different from embodiment mono-is, in categorical data group, preset normal data, this normal data is default expected data;
So, on the basis of embodiment mono-, after target data is collected in categorical data group, can also comprise:
Add up all target datas in described categorical data group, determine statistics;
Wherein, statistics is the data total value of all target datas in the type data group.
It should be noted that, the normal data in same type data group is identical with the data type of target data.
Calculate and export the difference of described statistics and normal data.
Whether the statistics that can judge all target datas in categorical data group by this difference exceeds default normal data;
It should be noted that, in output difference, can also export statistics and default normal data simultaneously.
In the present invention, can also preset standard deviation, this standard deviation is to allow statistics to exceed the maximal value of normal data, i.e. described calculating and export the difference of described statistics and described normal data after, can also comprise:
Judge whether described difference is greater than preset standard difference;
When described difference is greater than described preset standard difference, generate and export information.
Embodiment tri-,
The embodiment of the present invention three discloses a kind of purpose data classifying method, and as shown in Figure 2, the method can comprise:
Step 201: obtain target data, wherein, described target data includes target identification;
Step 202: the data type of determining described target data according to described target identification;
Step 203: search the categorical data group corresponding with described data type;
Step 204: described target data is collected in described categorical data group;
Step 205: receive the first inquiry request, carry data type in described the first search request;
When statistician wants to search the target data in data type group, can be used as sender and send the first inquiry request, and the data type of searching is in advance carried in the first inquiry request.
Step 206: search the categorical data group corresponding with data type in described the first inquiry request;
Wherein, according to the data type of carrying in the first inquiry request, can search the categorical data group identical with its type.
For example, when the data type of carrying in the first inquiry request is equipment, can find device data group.
Step 207: export all target datas in described categorical data group.
By all target data output in the categorical data group finding, so that statistician checks.
It should be noted that, in embodiment bis-, also preset normal data, in this step, the normal data in categorical data group can also be exported so.
In the present embodiment, by target data being unified to classification, the data type of carrying in reception the first inquiry request, search the categorical data group corresponding with it, and then can export all target datas of same type, without taking the plenty of time, reduced to search the shared data resource of target data, improved work efficiency.
Embodiment tetra-,
The invention process four provides a kind of purpose data classifying method, different from above each embodiment, after obtaining target data, can also comprise:
Determine the acquisition time of described target data;
Wherein, obtaining after target data, can determine the acquisition time of this target data;
Concrete definite mode is for obtaining rule and obtain according to default, for example, when the time of obtaining target data is * * * * month * * day * *, * * divides, and the default rule of obtaining is take day as unit, so, the acquisition time of determining described target data is * * * * month * * day.
According to default search rule, search the time data group collection suitable with described acquisition time;
Wherein, this default search rule is the standard of suitable time data group collection of Search and acquirement time;
Concrete, this default search rule can be set according to actual conditions, as, this default search rule can be contained in for acquisition time the rule of real data group, or this default search rule can also be equivalent to for acquisition time the rule of real data group.
So, corresponding, search the categorical data group corresponding with described data type and be specifically as follows:
In described time data group, concentrate and search the categorical data group corresponding with described data type.
Wherein, time data group collection also can predetermined manner be stored in database or other storage unit, specifically can be identical with the storage mode of the above-mentioned type data group;
As the form with form is stored, for characterizing the time marking of time data group collection, be stored in the gauge outfit of form, and acquisition time and real data group collect suitable all types data group and are all stored in different rows or the different lines under this gauge outfit.
Wherein, in this time data group, concentrate and include different categorical data groups, by the data type of target data, can concentrate and find the categorical data group corresponding with it in this time data group.
For ease of understanding, with a specific implementation, describe, when obtaining the time of target data, be on Dec 12nd, 2013, time data group collection be divided into 2012 annual data groups, 2013 data group, in Dec, 2013 data group, 11 months years in 2013 data group, on Dec 12nd, 2013 data group and on Dec 11st, 2013 data group;
When this default search rule can be contained in real data group regular for acquisition time, so, according to the Dec 12 2013 time of target data, can find 2013 data group, in Dec, 2013 data group and on Dec 12nd, 2013 data group, by these time data groups that find, concentrate and search the categorical data group corresponding with the data type of target data, finally target data can be collected in the concentrated similar data group of different time data groups, that is to say, above-mentioned several time data group finding concentrates and all includes this target data.
And this default search rule is can be equivalent to real data group regular for acquisition time time, so, according to the Dec 12 2013 time of target data, can only find data group on Dec 12nd, 2013.
In the present embodiment, by suitable time data group collection of Search and acquirement time, target data can be collected according to acquisition time and data type, be convenient to statistician and check same time data group's collection and the concentrated same type data group of same time data group.
Further, described described target data is collected in described categorical data group after, can also comprise:
Receive the second inquiry request, in described the second inquiry request, carry query time;
When statistician wants to search sometime data group collection, can be used as sender and send the second inquiry request, and the query time of searching is in advance carried in the second inquiry request.
Search the time data group collection corresponding with time in described the second inquiry request;
Wherein, according to the query time carrying in the second inquiry request, can search the time data group collection corresponding with its query time.
For example, when the query time carrying in the second inquiry request is in Dec, 2013, can inquire in Dec, 2013 data group collection.
Export all target datas in described time data group concentrated all types data group and all types data group.
Wherein, by all target datas that find in time data group concentrated all types data group and all types data group, so that statistician checks.
In the present embodiment, by target data is unified to classification according to time and type, when receiving the query time carrying in the second inquiry request, search the time data group collection corresponding with it, and then can export this time data group concentrated all types data group and target data, without taking the plenty of time, reduced to search the shared data resource of target data, improved work efficiency.
In actual applications, the disclosed purpose data classifying method of the various embodiments described above can be applied to construction project technical field, in construction project process of construction, need to collect all types of target data, this target data refers to the various expenses that produce in process of construction, by the various expenses that produce in the process of building are collected together according to the difference of type, can be convenient to statistician and understand at any time the expense of project a situation arises, for it provides information reference.
Embodiment five,
The present invention also provides a kind of purpose data classifying device, and as shown in Figure 3, this device can comprise: the first acquiring unit 301, the first determining unit 302, first are searched unit 303, first and collected unit 304, wherein,
The first acquiring unit 301, can be for obtaining target data, and described target data comprises target identification;
The first determining unit 302, can be for determining the data type of described target data according to described target identification;
Wherein, first determines that case source 302 can comprise the first presetting module and coupling determination module,
Described the first presetting module is for presetting the corresponding relation of target identification collection and each data type;
Described coupling determination module is for mating described target identification, to determine the data type of described target data with the target identification collection of default corresponding relation.
First collects unit 304, can be for described target data being collected in described categorical data group.
Embodiment six,
The embodiment of the present invention six provides a kind of purpose data classifying device, wherein, different from above-described embodiment, in categorical data group, is preset with normal data, and said apparatus can also comprise: the first statistic unit and the first computing unit, wherein:
The first statistic unit, for adding up all target datas of described categorical data group, determines statistics;
The first computing unit, for calculating and export the difference of described statistics and described normal data.
In the present invention, this device can also comprise: the first judging unit and generation output unit, wherein:
The first judging unit, for judging whether described difference is greater than default standard deviation;
Generate output unit, for when described difference is greater than described standard deviation, generate and export information.
Embodiment seven,
The invention process seven provides a kind of purpose data classifying device, as shown in Figure 4, this device can comprise: the first acquiring unit 401, the first determining unit 402, first search that unit 403, first collects unit 404, the first receiving element 405, second is searched unit 406, the first output unit 407, wherein
The first acquiring unit 401, can be for obtaining target data, and described target data comprises target identification;
The first determining unit 402, can be for determining the data type of described target data according to described target identification;
First collects unit 404, can be for described target data being collected in described categorical data group;
The first receiving element 405, can, for receiving the first inquiry request, carry data type in described the first inquiry request;
The first output unit 407, can be for exporting all target datas in described categorical data group.
Embodiment eight,
The embodiment of the present invention eight also provides a kind of purpose data classifying device, is with the difference of above each device, and this device can also comprise: the second determining unit and the 3rd is searched unit, wherein:
The second determining unit, can be for determining the acquisition time of described target data;
The 3rd searches unit, can be for the search rule according to default, search the time data group collection suitable with described acquisition time;
So, corresponding, first searches unit specifically can be for concentrating and search the categorical data group corresponding with described data type in described time data group.
This device can also comprise: the second receiving element, the 4th is searched unit and the second output unit, wherein:
The second receiving element, can, for receiving the second inquiry request, carry query time in described the second inquiry request;
The 4th searches unit, can be for searching the time data group collection corresponding with query time in described the second inquiry request;
The second output unit, can be for exporting all target datas in described time data group concentrated all types data group and all types data group.
Below respectively install embodiment corresponding with embodiment of the method, concrete implementation can be referring to embodiment of the method, and this is no longer going to repeat them.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stresses is and the difference of other embodiment, between each embodiment identical similar part mutually referring to.For the disclosed device of embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates referring to method part.
To the above-mentioned explanation of the disclosed embodiments, make professional and technical personnel in the field can realize or use the present invention.To the multiple modification of these embodiment, will be apparent for those skilled in the art, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (14)
1. a purpose data classifying method, is characterized in that, the method comprises:
Obtain target data, described target data comprises target identification;
According to described target identification, determine the data type of described target data;
Search the categorical data group corresponding with described data type;
Described target data is collected in described categorical data group.
2. method according to claim 1, is characterized in that, the described target identification of described foundation is determined the data type of described target data, is specially:
Described target identification is mated with the target identification collection in default corresponding relation, to determine the data type of described target data; Wherein, corresponding relation is the corresponding relation of target identification collection and each data type.
3. method according to claim 1, is characterized in that, in described categorical data group, is preset with normal data, described described target data is collected in described categorical data group after, also comprise:
Add up all target datas in described categorical data group, determine statistics;
Calculate and export the difference of described statistics and described normal data.
4. method according to claim 3, is characterized in that, described calculating and export the difference of described statistics and described normal data after, also comprise:
Judge whether described difference is greater than default standard deviation;
When described difference is greater than described standard deviation, generate and export information.
5. method according to claim 1, is characterized in that, described described target data is collected in described categorical data group after, also comprise:
Receive the first inquiry request, in described the first inquiry request, carry data type;
Search the categorical data group corresponding with data type in described the first inquiry request;
Export all target datas in described categorical data group.
6. according to the method described in claim 1-5 any one, it is characterized in that, described in obtain target data after, also comprise:
Determine the acquisition time of described target data;
According to default search rule, search the time data group collection suitable with described acquisition time;
Describedly search the categorical data group corresponding with described data type and be specially:
In described time data group, concentrate and search the categorical data group corresponding with described data type.
7. method according to claim 6, is characterized in that, described described target data is collected in described categorical data group after, also comprise:
Receive the second inquiry request, in described the second inquiry request, carry query time;
Search the time data group collection corresponding with query time in described the second inquiry request;
Export all target datas in described time data group concentrated all types data group and all types data group.
8. a purpose data classifying device, is characterized in that, this device comprises:
The first acquiring unit, for obtaining target data, described target data comprises target identification;
The first determining unit, for determining the data type of described target data according to described target identification;
First searches unit, for searching the categorical data group corresponding with described data type;
First collects unit, for described target data being collected to described categorical data group.
9. device according to claim 8, is characterized in that, described the first determining unit comprises the first presetting module and coupling determination module;
Described the first presetting module is for presetting the corresponding relation of target identification collection and each data type;
Described coupling determination module is for mating described target identification, to determine the data type of described target data with the target identification collection of default corresponding relation.
10. device according to claim 8, is characterized in that, in described categorical data group, is preset with normal data, and this device also comprises:
The first statistic unit, for adding up all target datas of described categorical data group, determines statistics;
The first computing unit, for calculating and export the difference of described statistics and described normal data.
11. devices according to claim 10, is characterized in that, also comprise:
The first judging unit, for judging whether described difference is greater than default standard deviation;
Generate output unit, for when described difference is greater than described standard deviation, generate and export information.
12. devices according to claim 8, is characterized in that, also comprise:
The first receiving element, for receiving the first inquiry request, carries data type in described the first inquiry request;
Second searches unit, for searching the categorical data group corresponding with the data type of described the first inquiry request;
The first output unit, for exporting all target datas of described categorical data group.
Device described in 13. according to Claim 8-12 any one, is characterized in that, also comprises:
The second determining unit, for determining the acquisition time of described target data;
The 3rd searches unit, for the search rule according to default, searches the time data group collection suitable with described acquisition time;
Described first searches unit, specifically for concentrating and search the categorical data group corresponding with described data type in described time data group.
14. devices according to claim 8, is characterized in that, also comprise:
The second receiving element, for receiving the second inquiry request, carries query time in described the second inquiry request;
The 4th searches unit, for searching the time data group collection corresponding with the query time of described the second inquiry request;
The second output unit, for exporting the concentrated all types data group of described time data group and all target datas of all types data group.
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