CN108628983A - A kind of data processing method and device - Google Patents
A kind of data processing method and device Download PDFInfo
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- CN108628983A CN108628983A CN201810391593.7A CN201810391593A CN108628983A CN 108628983 A CN108628983 A CN 108628983A CN 201810391593 A CN201810391593 A CN 201810391593A CN 108628983 A CN108628983 A CN 108628983A
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Abstract
The present invention provides a kind of data processing method and devices.The method includes：The selection operation of monitoring objective object；The historical state data before the time point in set period of time is obtained based on the selection operation corresponding time point；Predicted state data are obtained based on the historical state data.Status data can effectively be managed in the present embodiment, including backtracking historical state data, generation predicted state data and management current status data, is conducive to simplify data processing, promotes the usage experience of target object.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of data processing method and devices.
Background technology
Such as the units such as school need a large amount of storage data.Currently, school usually deposits according to the form of class or grade
Store up data.However, aforesaid way, which is unfavorable for each classmate, inquires the data of oneself, such as achievement, credit, classroom etc., cause to look into
Ask less efficient, reduction usage experience.
Invention content
For the defects in the prior art, the present invention provides a kind of data processing method and devices, for solving correlation
Technical problem present in technology.
In a first aspect, an embodiment of the present invention provides a kind of data processing method, the method includes：
The selection operation of monitoring objective object；
The historic state before the time point in set period of time is obtained based on the selection operation corresponding time point
Data；
Predicted state data are obtained based on the historical state data.
Optionally, the historical state data and the predicted state data are preserved according to time point；The time point packet
Include one or more of academic year, term, calendar year, calendar month or consecutive days.
Optionally, obtaining predicted state data based on the historical state data includes：
Obtain the time identifier of the historical state data；
Sequencing based on the time identifier forms time shaft；
Determine the variation track of historical state data on the time shaft.
Optionally, obtaining predicted state data based on the historical state data further includes：
Obtain the corresponding standard state data of the target object；
Predicted state data are contrasted according to the standard state data and the historical state data.
Second aspect, an embodiment of the present invention provides a kind of data processing equipment, described device includes：
Selection operation monitoring modular is used for the selection operation of monitoring objective object；
Historical data acquisition module is set for being based on before the selection operation corresponding time point acquisition time point
The historical state data fixed time in section；
Prediction data acquisition module, for obtaining predicted state data based on the historical state data.
Optionally, the historical state data and the predicted state data are preserved according to time point；The time point packet
Include one or more of academic year, term, calendar year, calendar month or consecutive days.
Optionally, the prediction data acquisition module includes：
Time identifier acquiring unit, the time identifier for obtaining the historical state data；
Time shaft forms unit, and time shaft is formed for the sequencing based on the time identifier；
Variation track determination unit, the variation track for determining historical state data on the time shaft.
Optionally, the prediction data acquisition module includes：
Normal data acquiring unit, for obtaining the corresponding standard state data of the target object；
Prediction data comparison unit, for contrasting prediction according to the standard state data and the historical state data
Status data
As shown from the above technical solution, selection is obtained by the selection operation according to target object in the embodiment of the present invention
Historical state data before operation corresponding time point is then based on historical state data and obtains the prediction shape that target object needs
State data.As it can be seen that status data can effectively be managed in the present embodiment, including backtracking historical state data, generation are in advance
Status data and management current status data are surveyed, is conducive to simplify data processing, promotes the usage experience of target object.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these figures.
Fig. 1 is a kind of flow diagram for data processing method that one embodiment of the invention provides；
Fig. 2 is the flow diagram for another data processing method that one embodiment of the invention provides；
Fig. 3 is the flow diagram for another data processing method that one embodiment of the invention provides；
Fig. 4~Fig. 6 is a kind of block diagram for data processing equipment that one embodiment of the invention provides.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Such as the units such as school need a large amount of storage data.Currently, school usually deposits according to the form of class or grade
Store up data.However, aforesaid way, which is unfavorable for each classmate, inquires the data of oneself, such as achievement, credit, classroom etc., cause to look into
Ask less efficient, reduction usage experience.In order to solve the above technical problems, an embodiment of the present invention provides a kind of data processing sides
Method, Fig. 1 are a kind of flow diagram for data processing method that one embodiment of the invention provides.The data processing method can answer
For server, mobile terminal or personal computer.For convenience of description, to be applied to personal computer in follow-up each embodiment
For, execute the processor that the data processing method is personal computer.
Referring to Fig. 1, a kind of data processing method includes step 101~103, wherein：
101, the selection operation of monitoring objective object.
Software is equipped in the present embodiment, on personal computer, and either hardware can be monitored by the software or hardware
To the selection operation of target object, the corresponding information of selection operation is sent to processor later.In this way, processor can monitor
It, then can be with the selection operation of monitoring objective object according to the information received to target object.Wherein, selection operation can be learned
Raw curricula-variable, teacher take statistics report, and teacher arranges classroom etc., can be selected, be not limited thereto according to concrete scene.
102, the history before the time point in set period of time is obtained based on the selection operation corresponding time point
Status data.
In the present embodiment, processor obtains selection operation corresponding time point.Wherein, time point may include academic year, learn
One or more of phase, calendar year, calendar month or consecutive days.
Then, processor determines set period of time based on time point and selection operation.For example, selection operation is selected for student
Class, then set period of time can be that student enters a school to the time interval between time point.For another example, selection operation takes statistics for teacher
Report, and report is term report, then set period of time is, using time point as starting point and corresponding after extension term duration forward
Time interval.
Later, processor obtains the historical state data about target object in above-mentioned set period of time.Wherein history shape
State data can be the achievement of target object, and the course that target object has selected, the student performance of each class, each classroom is attended class
Time etc., historical state data can be configured according to the content of selection operation, be not limited thereto.
103, predicted state data are obtained based on the historical state data.
In the present embodiment, processor can get the predicted state data of the target object according to historical state data.
In one embodiment, processor obtains the corresponding standard state data of target object, then processor contrast standard status data
And historical state data, using standard state data and historical state data as the predicted state data about the target object.
In another embodiment, processor can obtain after getting historical state data in each historical state data
Time identifier；Then sequencing of the processor based on time identifier forms time shaft, and in other words, processor is suitable according to the time
Ordered pair historical state data is ranked up.Finally, processor can get history based on the historical state data on time shaft
The variation track of status data.In this way, target object can make corresponding decision, such as adjustment curricula-variable group according to variation track
It closes, adjusts row's class of class, adjust the usage time etc. in classroom, be conducive to improve the efficiency of decision-making.
As shown from the above technical solution, selection is obtained by the selection operation according to target object in the embodiment of the present invention
Historical state data before operation corresponding time point is then based on historical state data and obtains the prediction shape that target object needs
State data.As it can be seen that status data can effectively be managed in the present embodiment, including backtracking historical state data, generation are in advance
Status data and management current status data are surveyed, is conducive to simplify data processing, promotes the usage experience of target object.
Based on the data processing method that embodiment illustrated in fig. 1 provides, it is described in detail not with reference to flow chart and scene graph
With the data processing method under mode.In the present embodiment, data processing method is described by taking students' needs as an example, each student can lead to
Cross the server that respective personal computer logs on installation Course-Selecting System.Fig. 2 is the one kind shown according to embodiments of the present invention
The flow diagram of data processing method.
Referring to Fig. 2, in term Mo or the new term, each student can log on Course-Selecting System, then server
Processor monitors the selection operation of each student in real time.After each student triggers corresponding select button, select button can generate
Corresponding trigger signal, and trigger signal is sent to processor.Processor judges whether to receive trigger signal, not receive
When to trigger signal, continue the selection operation for monitoring each student.When receiving trigger signal, processor obtains the selection operation
Corresponding time point.Later, processor determines set period of time according to time point and selection operation.Due to being curricula-variable operation, because
This set period of time can time interval that respectively student entered a school between moment and time point.In other words, processor can be got
Course, achievement and the credit etc. that each student has had been selected since the admission.The student of different majors is in admission, the class of each student
Journey and credit have been set, and are that can graduate after credit qualification after student is by the examination of each course.Therefore, it is stepped in student
Behind land to Course-Selecting System and after selection operation, then processor can get the standard state data of each student.Processor compares
Standard state data and historical state data can obtain predicted state data.Student can be based on above-mentioned predicted state data into
Row curricula-variable.
In addition, processor can be according to the time tag generated time axis of each historical state data in historical state data；
Processor generates the variation track of historical state data based on time shaft, which will be seen that each term based on the variation track
The quantity of curricula-variable, distribution of credit etc. adjust course quantity, credit of this curricula-variable etc., to obtain the curricula-variable of the new term.
In the present embodiment, data processing method is described so that teacher is each classroom row class as an example, teacher passes through personal computer
Log on the server of installation Course Arrangement.Fig. 3 is a kind of flow of the data processing method shown according to embodiments of the present invention
Schematic diagram.
Referring to Fig. 3, teacher can be using the account and code entry of oneself to corresponding Course Arrangement, due to Course Arrangement
In the row's of being provided with class button, can generate trigger signal when teacher triggers above-mentioned row's class button and be sent to processor.Processing
Device judges whether to receive trigger signal, continues to monitor whether teacher selects classroom row's class when not receiving trigger signal.
After receiving trigger signal, selection operation corresponding time point is obtained.Then, processor obtains the history of halves on each classroom
Row's class data, that is, historical state data.Later, processor can get standard row's class data in each classroom.Its Plays row's class
Data can deactivate information etc. according to number, each classroom occupied by all courses in this term, and each classroom determined should arrange
Class number.Finally, processor can obtain prediction row's class data, i.e. processor according to standard row's class data and history row's class data
Row's class in each classroom can be generated according to the timetabling algorithm of setting.For example, the first classroom needs to fill for 3-5 weeks the of this term
It repaiies, history row's class data save for row's class last term 100, reduce by 3 weeks finishing time, and row's class can be reduced to 70 in this term
It saves, then processor saves row's class that the information such as occupied period generate the first classroom according to course, often.
Based on above-mentioned usage scenario, the embodiment of the present invention can based on time point to the data in set period of time later into
Row backtracking process obtains historical state data, is also based on standard state data and historical state data generates predicted state number
According to etc., to facilitate the use of each target object, is conducive to simplify data processing, promotes the usage experience of target object.
The embodiment of the present invention additionally provides a kind of data processing equipment, and Fig. 4 is a kind of number that one embodiment of the invention provides
According to the block diagram of processing unit.Referring to Fig. 4, a kind of data processing equipment includes：
Selection operation monitoring modular 401 is used for the selection operation of monitoring objective object；
Historical data acquisition module 402, for based on the selection operation corresponding time point obtain the time point it
Historical state data in preceding set period of time；
Prediction data acquisition module 403, for obtaining predicted state data based on the historical state data.
In one embodiment, the historical state data and the predicted state data are preserved according to time point；When described
Between point include one or more of academic year, term, calendar year, calendar month or consecutive days.
Fig. 5 is a kind of block diagram for data processing equipment that one embodiment of the invention provides.Referring to Fig. 5, one kind shown in Fig. 4
On the basis of data processing equipment, prediction data acquisition module 403 includes：
Time identifier acquiring unit 501, the time identifier for obtaining the historical state data；
Time shaft forms unit 502, and time shaft is formed for the sequencing based on the time identifier；
Variation track determination unit 503, the variation track for determining historical state data on the time shaft.
Fig. 6 is a kind of block diagram for data processing equipment that one embodiment of the invention provides.Referring to Fig. 6, one kind shown in Fig. 4
On the basis of data processing equipment, prediction data acquisition module 403 includes：
Normal data acquiring unit 601, for obtaining the corresponding standard state data of the target object；
Prediction data comparison unit 602, for being contrasted according to the standard state data and the historical state data
Predicted state data.
It should be noted that a kind of data processing equipment provided in an embodiment of the present invention is one-to-one with the above method
The implementation detail of relationship, the above method is equally applicable to above-mentioned apparatus, and the embodiment of the present invention no longer carries out above system detailed
Explanation.
In the specification of the present invention, numerous specific details are set forth.It is to be appreciated, however, that the embodiment of the present invention can be with
It puts into practice without these specific details.In some instances, well known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.
The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；Although with reference to aforementioned each reality
Applying example, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each
Technical solution recorded in embodiment is modified, and either carries out equivalent replacement to which part or all technical features；And
These modifications or replacements, the range for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution,
It should all cover in the claim of the present invention and the range of specification.
Claims (8)
1. a kind of data processing method, which is characterized in that the method includes：
The selection operation of monitoring objective object；
The historical state data before the time point in set period of time is obtained based on the selection operation corresponding time point；
Predicted state data are obtained based on the historical state data.
2. data processing method according to claim 1, which is characterized in that the historical state data and the prediction shape
State data are preserved according to time point；The time point includes academic year, term, calendar year, calendar month or one kind in consecutive days
Or it is a variety of.
3. data processing method according to claim 1, which is characterized in that obtain prediction based on the historical state data
Status data includes：
Obtain the time identifier of the historical state data；
Sequencing based on the time identifier forms time shaft；
Determine the variation track of historical state data on the time shaft.
4. data processing method according to claim 1, which is characterized in that obtain prediction based on the historical state data
Status data further includes：
Obtain the corresponding standard state data of the target object；
Predicted state data are contrasted according to the standard state data and the historical state data.
5. a kind of data processing equipment, which is characterized in that described device includes：
Selection operation monitoring modular is used for the selection operation of monitoring objective object；
Historical data acquisition module, when for being based on setting before the selection operation corresponding time point acquisition time point
Between historical state data in section；
Prediction data acquisition module, for obtaining predicted state data based on the historical state data.
6. data processing equipment according to claim 5, which is characterized in that the historical state data and the prediction shape
State data are preserved according to time point；The time point includes academic year, term, calendar year, calendar month or one kind in consecutive days
Or it is a variety of.
7. data processing equipment according to claim 5, which is characterized in that the prediction data acquisition module includes：
Time identifier acquiring unit, the time identifier for obtaining the historical state data；
Time shaft forms unit, and time shaft is formed for the sequencing based on the time identifier；
Variation track determination unit, the variation track for determining historical state data on the time shaft.
8. data processing equipment according to claim 5, which is characterized in that the prediction data acquisition module includes：
Normal data acquiring unit, for obtaining the corresponding standard state data of the target object；
Prediction data comparison unit, for contrasting predicted state according to the standard state data and the historical state data
Data.
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| CN201810391593.7A CN108628983A (en) | 2018-04-27 | 2018-04-27 | A kind of data processing method and device |
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| CN201810391593.7A CN108628983A (en) | 2018-04-27 | 2018-04-27 | A kind of data processing method and device |
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| CN103106130A (en) * | 2013-01-31 | 2013-05-15 | 广东欧珀移动通信有限公司 | Data monitoring method and data monitoring system for software behavior of mobile terminal |
| CN103544663A (en) * | 2013-06-28 | 2014-01-29 | Tcl集团股份有限公司 | Method and system for recommending network public classes and mobile terminal |
| CN107635143A (en) * | 2017-11-06 | 2018-01-26 | 四川长虹电器股份有限公司 | The method for chasing after play on TV based on viewing behavior prediction user |
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Application publication date: 20181009 |