CN113297444A - Big data classification management system - Google Patents
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- CN113297444A CN113297444A CN202110506867.4A CN202110506867A CN113297444A CN 113297444 A CN113297444 A CN 113297444A CN 202110506867 A CN202110506867 A CN 202110506867A CN 113297444 A CN113297444 A CN 113297444A
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- 241000700605 Viruses Species 0.000 claims abstract description 25
- 230000010354 integration Effects 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 8
- 230000002457 bidirectional effect Effects 0.000 claims description 7
- 238000012552 review Methods 0.000 claims description 2
- 238000007726 management method Methods 0.000 abstract description 75
- 238000013523 data management Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 abstract 1
- 238000000034 method Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000012216 screening Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
Abstract
The invention discloses a big data classification management system, which comprises a user login module, a big database and a big data classification management system, wherein the output end of the user login module is connected with the input end of the big data classification management system; the invention relates to the technical field of big data management. This big data classification management system can carry out real-time information protection to classification management system, can receive the information of transmission for classification management system, then seeks and kill its virus, and can look for the source according to the virus condition, has guaranteed classification management system's normal operating, has also avoided revealing of user information, and the security is high, can carry out grouping management to the user according to user's age, grade and liveness.
Description
Technical Field
The invention relates to the technical field of big data management, in particular to a big data classification management system.
Background
Big data refers to a collection of data whose content cannot be captured, managed, and processed within a certain time using conventional software tools. The big data has five characteristics of large quantity, high speed, diversity, low value density and authenticity. It has no statistical sampling method, but only observes and tracks what happens. The usage of big data is prone to predictive analysis, user behavior analysis or the use of some other advanced data analysis methods, the information amount of the big data is huge, in order to process the big data information, the big data must be classified and managed, the big data can be grouped according to different classification conditions, a manager can conveniently operate and control the system, the big data classification management system brings a new development space which is larger than the previous chance for a client, the quick search of the information is realized through various classifications of the big data, the existing big data classification management system is widely applied, but some problems still exist.
The existing big data classification management system cannot protect the classification management system in real time, cannot receive information transmitted to the classification management system, cannot check and kill viruses of the big data classification management system, cannot search sources according to the virus conditions, cannot guarantee the normal operation of the classification management system, is easy to leak user information, is low in safety, cannot manage users in groups according to the ages, the grades and the liveness of the users, and cannot better assist managers to manage the users.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a big data classification management system, which solves the problem that the big data classification management system cannot protect the system in real time.
In order to achieve the purpose, the invention is realized by the following technical scheme: a big data classification management system comprises a user login module, a big database and a big data classification management system, wherein the output end of the user login module is connected with the input end of the big data classification management system, the big database is in bidirectional connection with the big data classification management system, and the big data classification management system comprises a content management center, a user management center, a grouping management center and a role management center;
the group management center comprises an age group module, a grade group module and an activity group module, the big data classification management system is in bidirectional connection with the information protection system, the information protection system comprises an information receiving module, a virus searching and killing module, a source searching module and a blocked visitor information module, the output end of the information receiving module is connected with the input end of the virus searching and killing module, the output end of the virus searching and killing module is connected with the input end of the source searching module, the output end of the blocked visitor information module is connected with the input end of the source searching module, the information receiving module can receive information entering the big data classification management system, viruses carried by the system are searched and killed by the virus searching and killing module, and virus sources can be searched by the source searching module.
Preferably, the content management center comprises a foreground page display module and a background content management module.
Preferably, the user management center comprises a data acquisition module, an application module and an integration module, wherein an output end of the data acquisition module is connected with an input end of the application module, and an output end of the application module is connected with an input end of the integration module.
Preferably, the application module comprises a user information management unit, a user data statistics unit, a user authority management unit, a user requirement management unit and a user feedback management unit.
Preferably, the integration module comprises a permission statistic management unit, an operation statistic unit and a login identification unit.
Preferably, the background content management module includes a content query unit, a content auditing unit, and a content shielding unit.
Preferably, the input end of the big data classification management system is connected with the output end of the automatic data updating module, the input end of the automatic data updating module is connected with the output end of the communication module, the communication module can be in a communication mode such as wireless communication, Bluetooth communication and signal tower communication, the information in the big data classification management system can be automatically updated in real time through the automatic data updating module, and the accuracy of the information of the big data classification management system is guaranteed.
Advantageous effects
The invention provides a big data classification management system. Compared with the prior art, the method has the following beneficial effects:
(1) this big data classification management system, include information receiving module through the information protection system, the virus searching and killing module, the source is looked for the module and is kept off visitor information module, information receiving module's output and the input of virus searching and killing module are connected, and the output of virus searching and killing module is connected with the input of source searching module, the output that is kept off visitor information module is connected with the input of source searching module, can carry out real-time information protection to classification management system, can receive the information of transmitting for classification management system, then look for and kill its virus, and can look for the source according to the virus condition, classification management system's normal operating has been guaranteed, also avoided revealing of user's information, the security is high.
(2) This big data classification management system, through grouping the management center and including age group module, grade group module and activity degree group module, realize two-way connection between big data classification management system and the information protection system, can manage the user is grouped according to user's age, grade and activity degree, and the supplementary administrator that can be better manages.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of an application module of the present invention;
FIG. 3 is a schematic block diagram of the structure of the integration module of the present invention;
fig. 4 is a schematic block diagram of the structure of the background content management module according to the present invention.
In the figure: 1. a user login module; 2. a large database; 3. big data classification management system; 31. a content management center; 311. a foreground page display module; 312. a background content management module; 3121. a content query unit; 3122. a content auditing unit; 3123. a content shielding unit; 32. a user management center; 321. a data acquisition module; 322. an application module; 3221. a user information management unit; 3222. a user data statistic unit; 3223. a user authority management unit; 3224. a user demand management unit; 3225. a user feedback management unit; 323. an integration module; 3231. an authority statistics management unit; 3232. an operation statistic unit; 3233. a login identification unit; 33. a group management center; 331. an age grouping module; 332. a grade grouping module; 333. an activity grouping module; 34. a role management center; 4. an information protection system; 41. an information receiving module; 42. a virus searching and killing module; 43. a source searching module; 44. a blocked visitor information module; 5. a data automatic updating module; 6. and a communication module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides two technical solutions:
example one
A big data classification management system comprises a user login module 1, a big database 2 and a big data classification management system 3, wherein the output end of the user login module 1 is connected with the input end of the big data classification management system 3, the big database 2 is in bidirectional connection with the big data classification management system 3, and the big data classification management system 3 comprises a content management center 31, a user management center 32, a grouping management center 33 and a role management center 34; the grouping management center 33 comprises an age grouping module 331, a grade grouping module 332 and an activity grouping module 333, the big data classification management system 3 and the information protection system 4 are connected in a bidirectional mode, the information protection system 4 comprises an information receiving module 41, a virus searching module 42, a source searching module 43 and a blocked visitor information module 44, the output end of the information receiving module 41 is connected with the input end of the virus searching module 42, the output end of the virus searching module 42 is connected with the input end of the source searching module 43, and the output end of the blocked visitor information module 44 is connected with the input end of the source searching module 43.
Preferably, the content management center 31 includes a foreground page display module 311 and a background content management module 312.
Example two
A big data classification management system comprises a user login module 1, a big database 2 and a big data classification management system 3, wherein the output end of the user login module 1 is connected with the input end of the big data classification management system 3, the big database 2 is in bidirectional connection with the big data classification management system 3, and the big data classification management system 3 comprises a content management center 31, a user management center 32, a grouping management center 33 and a role management center 34; the grouping management center 33 comprises an age grouping module 331, a grade grouping module 332 and an activity grouping module 333, the big data classification management system 3 and the information protection system 4 are connected in a bidirectional mode, the information protection system 4 comprises an information receiving module 41, a virus searching module 42, a source searching module 43 and a blocked visitor information module 44, the output end of the information receiving module 41 is connected with the input end of the virus searching module 42, the output end of the virus searching module 42 is connected with the input end of the source searching module 43, and the output end of the blocked visitor information module 44 is connected with the input end of the source searching module 43.
Preferably, the content management center 31 includes a foreground page display module 311 and a background content management module 312.
Preferably, the user management center 32 includes a data collection module 321, an application module 322, and an integration module 323, wherein an output end of the data collection module 321 is connected to an input end of the application module 322, and an output end of the application module 322 is connected to an input end of the integration module 323.
Preferably, the application module 322 includes a user information management unit 3221, a user profile statistics unit 3222, a user authority management unit 3223, a user requirement management unit 3224 and a user feedback management unit 3225.
Preferably, the integration module 323 includes a rights statistics management unit 3231, an operation statistics unit 3232, and a login identification unit 3233.
Preferably, the background content management module 312 includes a content query unit 3121, a content review unit 3122, and a content screening unit 3123.
Preferably, an input end of the big data classification management system 3 is connected with an output end of the automatic data updating module 5, and an input end of the automatic data updating module 5 is connected with an output end of the communication module 6.
The advantages of the second embodiment over the first embodiment are: the data automatic updating module 5 and the communication module 6 are used on trial, so that the information in the big data classification management system 3 can be updated timely, the accuracy of the internal information of the big data classification management system 3 is ensured, convenience is brought to a user, each module can be accurately divided by the content management center 31 and the user management center 32, the precision of big data classification is improved, and the convenience is brought to the user for centralized management and operation.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a big data classification management system, includes user login module (1), big database (2) and big data classification management system (3), the output of user login module (1) is connected with big data classification management system's (3) input, realize both way junction, its characterized in that between big database (2) and the big data classification management system (3): the big data classification management system (3) comprises a content management center (31), a user management center (32), a grouping management center (33) and a role management center (34);
the group management center (33) comprises an age grouping module (331), a grade grouping module (332) and an activity grouping module (333), the big data classification management system (3) and the information protection system (4) are connected in a bidirectional mode, the information protection system (4) comprises an information receiving module (41), a virus searching and killing module (42), a source searching module (43) and a blocked visitor information module (44), the output end of the information receiving module (41) is connected with the input end of the virus searching and killing module (42), the output end of the virus searching and killing module (42) is connected with the input end of the source searching module (43), and the output end of the blocked visitor information module (44) is connected with the input end of the source searching module (43).
2. The big data classification management system according to claim 1, wherein: the content management center (31) comprises a foreground page display module (311) and a background content management module (312).
3. The big data classification management system according to claim 1, wherein: the user management center (32) comprises a data acquisition module (321), an application module (322) and an integration module (323), wherein the output end of the data acquisition module (321) is connected with the input end of the application module (322), and the output end of the application module (322) is connected with the input end of the integration module (323).
4. The big data classification management system according to claim 3, wherein: the application module (322) comprises a user information management unit (3221), a user profile statistics unit (3222), a user authority management unit (3223), a user requirement management unit (3224) and a user feedback management unit (3225).
5. The big data classification management system according to claim 3, wherein: the integration module (323) comprises a right statistic management unit (3231), an operation statistic unit (3232) and a login identification unit (3233).
6. The big data classification management system according to claim 2, wherein: the background content management module (312) comprises a content query unit (3121), a content review unit (3122) and a content shielding unit (3123).
7. The big data classification management system according to claim 1, wherein: the input end of the big data classification management system (3) is connected with the output end of the automatic data updating module (5), and the input end of the automatic data updating module (5) is connected with the output end of the communication module (6).
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| US20110201351A1 (en) * | 2010-02-15 | 2011-08-18 | Openwave Systems Inc. | System and method for providing mobile user classfication information for a target geographical area |
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| CN112231334A (en) * | 2020-10-06 | 2021-01-15 | 辽宁便利电科技有限公司 | Intelligent analysis system and method based on data storage application |
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2021
- 2021-05-10 CN CN202110506867.4A patent/CN113297444A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110201351A1 (en) * | 2010-02-15 | 2011-08-18 | Openwave Systems Inc. | System and method for providing mobile user classfication information for a target geographical area |
| CN109194636A (en) * | 2018-08-23 | 2019-01-11 | 吾达软件（武汉）股份有限公司 | A kind of electronic information content release processing method and system |
| CN109614529A (en) * | 2018-11-30 | 2019-04-12 | 武汉推杰网络科技有限公司 | A kind of multi-layer data processing method based on company information |
| CN110008704A (en) * | 2019-04-10 | 2019-07-12 | 河南城建学院 | A kind of electronic information intelligent memory system for industrial management |
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Application publication date: 20210824 |