CN113190409A - Big data management analysis system - Google Patents
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- CN113190409A CN113190409A CN202110501896.1A CN202110501896A CN113190409A CN 113190409 A CN113190409 A CN 113190409A CN 202110501896 A CN202110501896 A CN 202110501896A CN 113190409 A CN113190409 A CN 113190409A
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- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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Abstract
The invention discloses a big data management and analysis system which comprises a total data storage library, a retrieval center and a display center, wherein the total data storage library comprises a network information data storage module, an information instruction storage module and an information data matching storage module, the retrieval center comprises an instruction processing center and an instruction receiving center, the instruction receiving center is in bidirectional connection with a wireless receiving and transmitting module, and the wireless receiving and transmitting module is in bidirectional connection with a cloud processor and an instruction extractor. This big data management analytic system can let big data management system each project clearer when the operation, and its operating condition and system are convenient more show in analytic system, let analytic system carry out deeper reading to big data system, let its each item operation and operation all be recorded and control, the effectual condition of avoiding appearing unknown error and error order.
Description
Technical Field
The invention relates to the technical field of big data systems, in particular to a big data management and analysis system.
Background
Big data, an IT industry term, is a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, is a massive, high-growth rate and diversified information asset which needs a new processing mode to have stronger decision power, insight discovery power and flow optimization capability, is defined by Gartner, a research organization for big data, and the strategic significance of big data technology is not to master huge data information but to specialize the data containing significance, in other words, if the big data is compared with an industry, the key for realizing profitability of the industry is to improve the processing capability of the data, the value increase of data is realized through processing, technically, the relation between big data and cloud computing is as inseparable as the front side and the back side of a coin, the big data cannot be processed by a single computer necessarily, a distributed architecture is adopted, the method is characterized in that distributed data mining is carried out on mass data, and the method depends on distributed processing, a distributed database, cloud storage and virtualization technologies of cloud computing.
Its search of current big data management analytic system and display module assembly are comparatively complicated when the operation, show moreover clearly inadequately, and the analytic system that its used can not be complete clear demonstrate whole operation process and data collection process on display device, so analytic system's effect just can reduce by a wide margin, and this is unfavorable for people to use.
Disclosure of Invention
Technical problem to be solved
In view of the deficiencies of the prior art, the present invention provides a big data management analysis system, which solves the problems presented in the background art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a big data management analytic system, includes total data storage storehouse, retrieval center and show center, total data storage storehouse includes network information data storage module, information instruction storage module and information data ratio storage module, the retrieval center includes instruction processing center and instruction receiving center, the show center includes the data display screen to instruction receiving center and wireless transceiver module realize the both way junction, wireless transceiver module all realizes the both way junction with high in the clouds treater and instruction extractor, the high in the clouds treater realizes the both way junction with transmission controller to transmission controller and instruction memory disc realize the both way junction, the instruction memory disc all with start and stop controller and data input port realization both way junction to start and stop controller and manual control terminal realization both way junction.
Preferably, the output ends of the instruction receiving center are connected with the input ends of the instruction search engine, the keyword search engine and the information proportioning engine, and the output ends of the instruction search engine, the keyword search engine and the information proportioning engine are connected with the input end of the instruction processing center.
Preferably, the instruction extractor and the data transmission module are connected in a bidirectional manner.
Preferably, the data display screen is connected with the display output module and the visual conversion module in a bidirectional mode, and the input ends of the display output module and the visual conversion module are connected with the output ends of the data matching module and the information classification module.
Preferably, the input ends of the data pairing module and the information classification module are connected with the input ends of the information acquisition module and the data scheduling module.
Preferably, the information acquisition module and the data scheduling module are respectively in bidirectional connection with the instruction processing center and the data transmission module.
(III) advantageous effects
The invention provides a big data management and analysis system. The method has the following beneficial effects:
(1) this big data management analytic system can let big data management system each project clearer when the operation, and its operating condition and system are convenient more show in analytic system, let analytic system can carry out deeper reading to big data system, let its each item operation and operation all by record and control, the effectual condition of avoiding appearing unknown error and error command, this people of being convenient for use.
(2) This big data management analytic system, more accurate when can let big data system retrieve and collect data information, the wrong process that can not appear easily leads to whole system collapse, and it is more stable when letting big data look over again the retrieval like this, can be in the operation in more stable system, and this does benefit to people and uses.
Drawings
Fig. 1 is a block diagram of the system principle of the present invention.
In the figure, 1-network information data storage module, 2-information instruction storage module, 3-information data proportioning storage module, 4-instruction processing center, 5-instruction receiving center, 6-data display screen, 7-wireless transceiving module, 8-cloud processor, 9-instruction extractor, 10-transmission controller, 11-instruction storage disk, 12-start-stop controller, 13-data input port, 14-manual control terminal, 15-instruction search engine, 16-keyword search engine, 17-information proportioning engine, 18-data transmission module, 19-display output module, 20-visual conversion module, 21-data pairing module, 22-information classification module, 23-information acquisition module, 24-data tabulation 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.
Example one
The utility model provides a big data management analytic system, including total data storage storehouse, search center and show center, total data storage storehouse includes network information data storage module 1, information instruction storage module 2 and information data ratio storage module 3, search center includes instruction processing center 4 and instruction receiving center 5, the show center includes data display screen 6, and instruction receiving center 5 realizes bidirectional connection with wireless transceiver module 7, wireless transceiver module 7 all realizes bidirectional connection with high in the clouds treater 8 and instruction extractor 9, high in the clouds treater 8 realizes bidirectional connection with transmission controller 10, and transmission controller 10 realizes bidirectional connection with instruction memory disc 11, instruction memory disc 11 all realizes bidirectional connection with start and stop controller 12 and data input port 13, and start and stop controller 12 realizes bidirectional connection with manual control terminal 14.
Example two
The utility model provides a big data management analytic system, including total data storage storehouse, search center and show center, total data storage storehouse includes network information data storage module 1, information instruction storage module 2 and information data ratio storage module 3, search center includes instruction processing center 4 and instruction receiving center 5, the show center includes data display screen 6, and instruction receiving center 5 realizes bidirectional connection with wireless transceiver module 7, wireless transceiver module 7 all realizes bidirectional connection with high in the clouds treater 8 and instruction extractor 9, high in the clouds treater 8 realizes bidirectional connection with transmission controller 10, and transmission controller 10 realizes bidirectional connection with instruction memory disc 11, instruction memory disc 11 all realizes bidirectional connection with start and stop controller 12 and data input port 13, and start and stop controller 12 realizes bidirectional connection with manual control terminal 14.
In the invention, the output ends of the instruction receiving center 5 are all connected with the input ends of the instruction search engine 15, the keyword search engine 16 and the information proportioning engine 17, and the output ends of the instruction search engine 15, the keyword search engine 16 and the information proportioning engine 17 are connected with the input end of the instruction processing center 4.
In the present invention, the instruction extractor 9 and the data transmission module 18 are connected in a bidirectional manner.
In the invention, the data display screen 6 is connected with the display output module 19 and the visualization conversion module 20 in a bidirectional way, and the input ends of the display output module 19 and the visualization conversion module 20 are connected with the output ends of the data pairing module 21 and the information classification module 22.
In the present invention, the input ends of the data pairing module 21 and the information classification module 22 are both connected with the input ends of the information acquisition module 23 and the data scheduling module 24.
In the invention, the information acquisition module 23 and the data scheduling module 24 are respectively connected with the instruction processing center 4 and the data transmission module 18 in a bidirectional way
The advantage of the second embodiment over the first embodiment is: the big data management system can be enabled to be clearer in each project during operation, the working state and the system of the big data management system can be more conveniently displayed in an analysis system, the analysis system can deeply read the big data system, all the operations and the operations of the big data management system are recorded and monitored, the situations of unknown errors and error commands are effectively avoided, the big data system is enabled to be more accurate when retrieving and collecting data information, the whole system can not be easily broken down due to error processes, the big data is more stable during searching and retrieving, the big data can be operated in a more stable system, and the big data management system is beneficial to people.
When the big data retrieval system runs, the manual control terminal 14 controls the start-stop controller 12 to run, the start-stop controller 12 controls the instruction storage disk 17 to run, instructions in the instruction storage disk 11 are input into the instruction storage disk 11 through the data input port 13, then the instruction storage disk 11 transmits corresponding instructions to the cloud transmitter 8 through the transmission controller 10, the instructions are input into the cloud transmitter 8 after being interfered with the wireless transceiver module 7, the wireless transceiver module 7 feeds the instructions back to the instruction receiving module 5, the instruction receiving module 5 selects corresponding search engines according to the corresponding instructions, the adaptive engines in the three search engines are interfered with the instruction processing center 6 after being started, the adaptive engines are interfered with the total data storage library according to data information and types provided by the engines, and the instruction processing center 6 supports the adaptive search engines in the network information data storage module 1 through the computing power of the corresponding engines, Searching and retrieving are carried out in the information instruction storage module 2 and the information data ratio storage module 3 until corresponding data are compared;
when the analysis system operates, the instruction extractor 9 extracts data information collected by the wireless transceiver module 7, and then the data information is transmitted to the data scheduling module 24 through the data transmission module 18, the data scheduling module 24 is interfered with the information classification module 22, primarily processed data is transmitted to the visual conversion module 20, and then the visual conversion module 20 is interfered with the data display screen 6 to display, so that display is completed, when the instruction processing center 4 detects corresponding data, the information acquisition module 23 can be interfered with the corresponding data, then the data is transmitted to the data pairing module 21, then the data pairing module 21 is interfered with the display output module 19 to transmit, and the display output module 19 transmits the collected data to the upper surface of the data display screen 6 to display, so that operation of the analysis system is completed.
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. Without further limitation.
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 (6)
1. A big data management analysis system comprises a total data storage library, a retrieval center and a display center, and is characterized in that: the total data storage library comprises a network information data storage module (1), an information instruction storage module (2) and an information data proportion storage module (3), the retrieval center comprises an instruction processing center (4) and an instruction receiving center (5), the display center comprises a data display screen (6), and the instruction receiving center (5) and the wireless transceiving module (7) realize bidirectional connection, the wireless transceiver modules (7) are connected with the cloud processor (8) and the instruction extractor (9) in a bidirectional way, the cloud processor (8) is in bidirectional connection with the transmission controller (10), and the transmission controller (10) is connected with the instruction storage disk (11) in a bidirectional way, the instruction storage disks (11) are connected with the start-stop controller (12) and the data input port (13) in a bidirectional way, and the start-stop controller (12) is in bidirectional connection with the manual control terminal (14).
2. The big data management and analysis system according to claim 1, wherein: the output ends of the instruction receiving center (5) are connected with the input ends of an instruction search engine (15), a keyword search engine (16) and an information matching engine (17), and the output ends of the instruction search engine (15), the keyword search engine (16) and the information matching engine (17) are connected with the input end of the instruction processing center (4).
3. The big data management and analysis system according to claim 1, wherein: the instruction extractor (9) is in bidirectional connection with the data transmission module (18).
4. The big data management and analysis system according to claim 1, wherein: the data display screen (6) is connected with the display output module (19) and the visual conversion module (20) in a bidirectional mode, and the input ends of the display output module (19) and the visual conversion module (20) are connected with the output ends of the data pairing module (21) and the information classification module (22).
5. The big data management and analysis system according to claim 4, wherein: the input ends of the data pairing module (21) and the information classification module (22) are connected with the input ends of the information acquisition module (23) and the data listing module (24).
6. The big data management and analysis system according to claim 5, wherein: the information acquisition module (23) and the data scheduling module (24) are respectively in bidirectional connection with the instruction processing center (4) and the data transmission module (18).
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| CN202110501896.1A CN113190409A (en) | 2021-05-08 | 2021-05-08 | Big data management analysis system |
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| CN202110501896.1A CN113190409A (en) | 2021-05-08 | 2021-05-08 | Big data management analysis system |
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| US20170090984A1 (en) * | 2015-09-25 | 2017-03-30 | Microsoft Technology Licensing, Llc | Progress visualization of computational job |
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