CN108595617A - A kind of education big data overall analysis system - Google Patents
A kind of education big data overall analysis system Download PDFInfo
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- CN108595617A CN108595617A CN201810366975.4A CN201810366975A CN108595617A CN 108595617 A CN108595617 A CN 108595617A CN 201810366975 A CN201810366975 A CN 201810366975A CN 108595617 A CN108595617 A CN 108595617A
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Abstract
A kind of education big data overall analysis system, including educational data acquisition system, educational data fusion storage system, educational data analysis system.The beneficial effects of the invention are as follows：The data of integration networks port, campus port and artificial port carry out comprehensive analysis, data more fully, analysis result it is more accurate；By the standard modeler model of network real-time update Modeling Platform, it is suitable for different analysis demands；Modeling analysis is provided and knowledge mapping analyzes two kinds of analysis modes, multi-angle carries out comprehensive analysis.
Description
Technical field
The present invention relates to big data teaching application more particularly to a kind of education big data overall analysis systems.
Background technology
Big data（big data）, refer to can not be captured with conventional software tool within certain time, manage and
The data acquisition system of processing is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Magnanimity, high growth rate and diversified information assets.
It integrates and analyzes by being collected to education big data, big data platform can be educational management, educational counseling
And education related field provides more accurate analysis result and analysis report, and clothes are provided to the user based on different analysis requests
Business.Existing education big data overall analysis system spininess analyzes single data source, such as Web education big data, school
Big data etc. is educated in garden, and analysis result is excessively unilateral or data source net end is independently analyzed with line lower end, lacks a kind of integration
Multiple data origin carries out the education big data overall analysis system of confluence analysis.
Invention content
The purpose of the present invention is to solve disadvantages existing in the prior art, and a kind of education big data synthesis proposed
Analysis system.
To achieve the goals above, present invention employs following technical solutions：A kind of education big data overall analysis system,
Including educational data acquisition system, educational data fusion storage system, educational data analysis system, communication link between each system
It connects, it is concurrent that educational data acquisition system is collected by netting end, acquisition education big data is extracted and be manually entered to online campus data
It send to educational data and merges storage system, educational data fusion storage system, will not by being pre-processed to education big data
Same attribute, format education big data the storage data of corresponding templates format, educational data analysis are stored as according to attributive classification
System receives the analysis request of the different dimensions of user's submission, and the storage data in extraction educational data fusion storage system carry out
Data analysis visualizes data results.
Preferably, educational data acquisition system includes net end port, campus port and artificial port, nets end port and high in the clouds
Server is connected, and for the education big data on collection network platform, campus port and campus administration equipment collect campus administration
The education big data that equipment is recorded and generated, artificial port are used for artificial amended record default data.
Preferably, educational data fusion storage system will educate the storage number that big data pretreatment is corresponding templates format
According to, including info class data, statistics class data and event class data, pre-treatment step include：
S1：The education big data for integrating educational data acquisition system carries out data cleansing to education big data, removes lengthy and jumbled data
With duplicate data；
S2：After S1 classification extraction will be carried out to education big data；
S3：Education big data after being extracted to classification pre-processes, including classification extraction info class data, by info class data
Be modified to standard information data be stored in it is spare in preset table；Classification extraction statistics class data, will count class data correction is
It is spare that canonical statistics data are stored in statistics storage unit；Event class data correction is standard by classification extraction event class data
Event data storage is spare in event statistics unit.
Preferably, educational data analysis system includes template library, warehouse and Modeling Platform, template library, Modeling Platform and storehouse
Library is connected with cloud server, and template library includes recognition unit and matching unit, and recognition unit is equipped with Fuzzy Classifier, is used for
Fuzzy classification is carried out to analysis request, recognition unit is connected with matching unit, and matching unit includes several matching templates, matching
Unit is connected with Modeling Platform, processing information is sent to Modeling Platform, Modeling Platform includes modeling template and data processing list
Member, modeling template have several standard modeler models, and data processing unit is separately connected modeling template and educational data fusion is deposited
Storage system, warehouse connect data processing unit, and for storing the analysis result generated, the generation method of analysis result includes：
S1：Input analysis request；
S2：Template library generates processing information by recognition unit and matching unit, sends processing information to Modeling Platform；
S3：Modeling Platform extracts modeler model, generates analysis request report；
S4：Analysis result is sent to warehouse.
Preferably, analysis request fuzzy classification result is corresponding with standard modeler model in matching template, and warehouse includes individual
Warehouse and high in the clouds warehouse, personal warehouse are equipped with Accounting system.
Preferably, in template library analysis request fuzzy classification result and standard modeler model by compiling information storage,
Analysis request fuzzy classification result is compiled as classifying and numbering and is stored in template library, and standard modeler model is compiled as pattern number storage
In template library, Modeling Platform includes decoding unit, and classifying and numbering is corresponding with analysis request fuzzy classification result in decoding unit, solution
Code unit internal standard modeler model is corresponding with pattern number, for being respectively sent to modeling template and religion after compiling information decoding
Educate data fusion storage system.
Preferably, S2 includes：
S201 recognition units are asked by fuzzy classification discriminance analysis, and extraction and analysis asks keyword to generate level-one analysis request pass
Keyword library, and fuzzy classification is carried out to analysis request, by analysis request fuzzy classification result and level-one analysis request keywords database
It is sent to matching unit；
S202 matching unit extraction and analysis asks fuzzy classification as a result, generating matching knot according to analysis request fuzzy classification result
Fruit；
Matching result and level-one analysis request keywords database are sent to Modeling Platform by S203 as processing information.
Preferably, S3 includes：
S301 Modeling Platforms receive processing information, according to matching result by modeling the corresponding standard modeler model of template extraction,
It is sent to data processing unit；Storage system extraction standard number is merged by educational data according to level-one analysis request keyword
According to being sent to data processing unit；
S302 data processing units generate analysis request report by the way that normal data is inserted in corresponding standard modeler model.
Preferably, educational data fusion storage system is equipped with word library, and word library classification is arranged, series many two,
S301 includes level-one analysis request keyword extracts associational word by word library, generates secondary analysis and asks keyword, and two
Grade analysis request keyword merges storage system extraction storage data by educational data, is sent to data processing unit.
Preferably, modeler model further includes knowledge mapping structure model, and storage system extraction point is merged by educational data
Relevant data information is asked in analysis, is built knowledge mapping and is visualized in user.
The beneficial effects of the invention are as follows：1, the data of integration networks port, campus port and artificial port carry out comprehensive point
Analysis, data more fully, analysis result it is more accurate；
2, by the standard modeler model of network real-time update Modeling Platform, it is suitable for different analysis demands；
3, modeling analysis is provided and knowledge mapping analyzes two kinds of analysis modes, multi-angle carries out comprehensive analysis.
Description of the drawings
Fig. 1 is a kind of structural schematic diagram of education big data overall analysis system of the present invention.
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.
Referring to Fig.1, a kind of education big data overall analysis system, including the fusion of educational data acquisition system, educational data
Storage system, educational data analysis system, which is characterized in that communicated to connect between each system, educational data acquisition system passes through
Net end, which is collected, acquisition education big data is extracted and be manually entered to online campus data and is sent to educational data fusion storage is
System, educational data merge storage system by being pre-processed to education big data, by the education big data of different attribute, format
The storage data of corresponding templates format are stored as according to attributive classification, educational data analysis system receives the different dimensional of user's submission
The analysis request of degree, extraction educational data merges the storage data in storage system and carries out data analysis, by data results
It visualizes.
A kind of education big data overall analysis system, educational data acquisition system include net end port, campus port and people
Work port, net end port is connected with cloud server, for the education big data on collection network platform, campus port and campus
Management equipment, the education big data collected campus administration equipment record and generated, artificial port is used for artificial amended record default data.
A kind of education big data overall analysis system, it is pair that educational data, which merges storage system and will educate big data pretreatment,
Answer the storage data of template style, including info class data, statistics class data and event class data, pre-treatment step include：
S1：The education big data for integrating educational data acquisition system carries out data cleansing to education big data, removes lengthy and jumbled data
With duplicate data；
S2：After S1 classification extraction will be carried out to education big data；
S3：Education big data after being extracted to classification pre-processes, including classification extraction info class data, by info class data
Be modified to standard information data be stored in it is spare in preset table；Classification extraction statistics class data, will count class data correction is
It is spare that canonical statistics data are stored in statistics storage unit；Event class data correction is standard by classification extraction event class data
Event data storage is spare in event statistics unit.
A kind of education big data overall analysis system, educational data analysis system include template library, warehouse and Modeling Platform,
Template library, Modeling Platform and warehouse are connected with cloud server, and template library includes recognition unit and matching unit, recognition unit
Equipped with Fuzzy Classifier, for carrying out fuzzy classification to analysis request, recognition unit is connected with matching unit, and matching unit includes
Several matching templates, matching unit are connected with Modeling Platform, processing information are sent to Modeling Platform, Modeling Platform includes building
Mould template and data processing unit, modeling template have several standard modeler models, and data processing unit is separately connected modeling mould
Plate and educational data merge storage system, and warehouse connects data processing unit, for storing the analysis result generated, analysis result
Generation method include：
S1：Input analysis request；
S2：Template library generates processing information by recognition unit and matching unit, sends processing information to Modeling Platform；
S3：Modeling Platform extracts modeler model, generates analysis request report；
S4：Analysis result is sent to warehouse.
A kind of education big data overall analysis system, analysis request fuzzy classification result models mould with standard in matching template
Type corresponds to, and warehouse includes personal warehouse and high in the clouds warehouse, and personal warehouse is equipped with Accounting system.
A kind of education big data overall analysis system, analysis request fuzzy classification result and standard modeler model in template library
By compiling information storage, analysis request fuzzy classification result is compiled as classifying and numbering and is stored in template library, and standard models mould
Type is compiled as pattern number and is stored in template library, and Modeling Platform includes decoding unit, and classifying and numbering is asked with analysis in decoding unit
Modulus is pasted classification results and is corresponded to, and decoding unit internal standard modeler model is corresponding with pattern number, for it will compile information decoding after
It is respectively sent to modeling template and educational data fusion storage system.
A kind of education big data overall analysis system, S2 include：
S201 recognition units are asked by fuzzy classification discriminance analysis, and extraction and analysis asks keyword to generate level-one analysis request pass
Keyword library, and fuzzy classification is carried out to analysis request, by analysis request fuzzy classification result and level-one analysis request keywords database
It is sent to matching unit；
S202 matching unit extraction and analysis asks fuzzy classification as a result, generating matching knot according to analysis request fuzzy classification result
Fruit；
Matching result and level-one analysis request keywords database are sent to Modeling Platform by S203 as processing information.
A kind of education big data overall analysis system, S3 include：
S301 Modeling Platforms receive processing information, according to matching result by modeling the corresponding standard modeler model of template extraction,
It is sent to data processing unit；Storage system extraction storage number is merged by educational data according to level-one analysis request keyword
According to being sent to data processing unit；
S302 data processing units are inserted in corresponding standard modeler model generation analysis request report by that will store data.
A kind of education big data overall analysis system, educational data merge storage system and are equipped with word library, word library
Classification setting, many two, the S301 of series include that level-one analysis request keyword extracts associational word by word library, generate two
Grade analysis request keyword, secondary analysis are asked keyword to merge storage system extraction storage data by educational data, are sent
To data processing unit.Also input association series, association's series are N in S1, grading by the word library identification association in S301
N grades of associations of row, generate N grades of subject key words, pass through N grades of subject key words extraction storage data.
A kind of education big data overall analysis system, S4 include that user is labeled analysis result, and user is marked
The analysis result of note is sent to warehouse, and mark includes subject name and type of theme.
A kind of education big data overall analysis system, type of theme include encryption and it is non-encrypted, S4 includes：
It identifies that user's type of theme is encryption, sends the personal warehouse that analysis result to Accounting system is bound, identify user's theme
Type is non-encrypted, will send analysis result and is sent to personal warehouse and high in the clouds warehouse simultaneously.
A kind of education big data overall analysis system, personal warehouse and high in the clouds warehouse are equipped with retrieval module, and retrieval is crucial
Word is analysis request.
A kind of education big data overall analysis system, modeler model further includes knowledge mapping structure model, by educating number
Relevant data information is asked according to fusion storage system extraction and analysis, build knowledge mapping and is visualized in user, structure
The method of knowledge mapping includes：
1）The central entity for obtaining analysis request characterization merges storage system by carrying out association to central entity in educational data
It includes the reality of each entity in related entities set to extract related entities set and the corresponding attribute set of related entities, attribute set
Body attribute；
2）Obtain the incidence relation between each entity and attribute in entity sets；
3）Triple data are created according to the incidence relation between entity sets, attribute set and entity and attribute；
4）Triple data are imported in database and carry out visualized operation, generate knowledge mapping.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of education big data overall analysis system, including educational data acquisition system, educational data fusion storage system, religion
Educate data analysis system, which is characterized in that communicated to connect between each system, educational data acquisition system by net end collect,
Line campus data are extracted and are manually entered acquisition education big data and are sent to educational data fusion storage system, and educational data is melted
Storage system is closed by being pre-processed to education big data, by different attribute, the education big data foundation attributive classification of format
The storage data of corresponding templates format are stored as, the analysis that educational data analysis system receives the different dimensions of user's submission is asked
It asks, the storage data in extraction educational data fusion storage system carry out data analysis, and data results are visualized.
2. a kind of education big data overall analysis system according to claim 1, which is characterized in that educational data acquisition system
System includes net end port, campus port and artificial port, and net end port is connected with cloud server, is used for collection network platform
Education big data, campus port and campus administration equipment, the education big data collected campus administration equipment record and generated, people
Work port is used for artificial amended record default data.
3. a kind of education big data overall analysis system according to claim 1 or 2, which is characterized in that educational data is melted
The storage data that big data pretreatment is corresponding templates format, including info class data, statistics class number will be educated by closing storage system
According to event class data, pre-treatment step includes：
S1：The education big data for integrating educational data acquisition system carries out data cleansing to education big data, removes lengthy and jumbled data
With duplicate data；
S2：After S1 classification extraction will be carried out to education big data；
S3：Education big data after being extracted to classification pre-processes, including classification extraction info class data, by info class data
Be modified to standard information data be stored in it is spare in preset table；Classification extraction statistics class data, will count class data correction is
It is spare that canonical statistics data are stored in statistics storage unit；Event class data correction is standard by classification extraction event class data
Event data storage is spare in event statistics unit.
4. a kind of education big data overall analysis system according to claim 1, which is characterized in that educational data analysis system
System includes template library, warehouse and Modeling Platform, and template library, Modeling Platform and warehouse are connected with cloud server, template library packet
Recognition unit and matching unit are included, recognition unit is equipped with Fuzzy Classifier, and for carrying out fuzzy classification to analysis request, identification is single
Member is connected with matching unit, and matching unit includes several matching templates, and matching unit is connected with Modeling Platform, will handle information
It is sent to Modeling Platform, Modeling Platform includes modeling template and data processing unit, and modeling template has several standard modeling moulds
Type, data processing unit are separately connected modeling template and educational data fusion storage system, and warehouse connects data processing unit, uses
In the analysis result that storage generates, the generation method of analysis result includes：
S1：Input analysis request；
S2：Template library generates processing information by recognition unit and matching unit, sends processing information to Modeling Platform；
S3：Modeling Platform extracts modeler model, generates analysis request report；
S4：Analysis result is sent to warehouse.
5. a kind of education big data overall analysis system according to claim 4, which is characterized in that analyzed in matching template
Ask fuzzy classification result corresponding with standard modeler model, warehouse includes personal warehouse and high in the clouds warehouse, and personal warehouse is equipped with account
Family system.
6. a kind of education big data overall analysis system according to claim 4, which is characterized in that analysis is asked in template library
Modulus pastes classification results and standard modeler model by compiling information storage, and analysis request fuzzy classification result is compiled as classifying
Number is stored in template library, and standard modeler model is compiled as pattern number and is stored in template library, and Modeling Platform includes decoding unit,
Classifying and numbering is corresponding with analysis request fuzzy classification result in decoding unit, decoding unit internal standard modeler model and pattern number
It is corresponding, for being respectively sent to modeling template and educational data fusion storage system after compiling information decoding.
7. a kind of education big data overall analysis system according to claim 4, which is characterized in that S2 includes：
S201 recognition units are asked by fuzzy classification discriminance analysis, and extraction and analysis asks keyword to generate level-one analysis request pass
Keyword library, and fuzzy classification is carried out to analysis request, by analysis request fuzzy classification result and level-one analysis request keywords database
It is sent to matching unit；
S202 matching unit extraction and analysis asks fuzzy classification as a result, generating matching knot according to analysis request fuzzy classification result
Fruit；
Matching result and level-one analysis request keywords database are sent to Modeling Platform by S203 as processing information.
8. a kind of education big data overall analysis system according to claim 7, which is characterized in that S3 includes：
S301 Modeling Platforms receive processing information, according to matching result by modeling the corresponding standard modeler model of template extraction,
It is sent to data processing unit；Storage system extraction storage number is merged by educational data according to level-one analysis request keyword
According to being sent to data processing unit；
S302 data processing units are inserted in corresponding standard modeler model generation analysis request report by that will store data.
9. a kind of education big data overall analysis system according to claim 8, which is characterized in that educational data fusion is deposited
Storage system is equipped with word library, word library classification setting, and many two, the S301 of series include that level-one analysis request keyword is logical
Word library extraction associational word is crossed, secondary analysis is generated and keyword, secondary analysis request keyword is asked to melt by educational data
Storage system extraction storage data are closed, data processing unit is sent to.
10. a kind of education big data overall analysis system according to claim 4 or 7, which is characterized in that modeler model is also
Model is built including knowledge mapping, merging storage system extraction and analysis by educational data asks relevant data information, structure
Knowledge mapping is simultaneously visualized in user.
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| CN110807060A (en) * | 2019-10-30 | 2020-02-18 | 北京普瑞华夏国际教育科技有限公司 | Education big data analysis system |
| CN111738296A (en) * | 2020-05-22 | 2020-10-02 | 广东科学技术职业学院 | One-stop service platform based on data fusion |
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