CN110990355A - Information classification system for big data analysis based on skynet - Google Patents
Information classification system for big data analysis based on skynet Download PDFInfo
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- CN110990355A CN110990355A CN201911161872.5A CN201911161872A CN110990355A CN 110990355 A CN110990355 A CN 110990355A CN 201911161872 A CN201911161872 A CN 201911161872A CN 110990355 A CN110990355 A CN 110990355A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/172—Caching, prefetching or hoarding of files
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F13/38—Information transfer, e.g. on bus
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
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- 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
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention discloses an information classification system for big data analysis based on skynet, which relates to the technical field of big data analysis, in particular to an information classification system for big data analysis based on skynet, comprising a data acquisition module and an information classification module, wherein the data acquisition module is electrically output and connected with a data warehouse through a lead, the data warehouse is electrically output and connected with an inquiry unit through a lead, the data warehouse is electrically output and connected with a data extraction module through a lead, the information classification module is electrically output and connected with a logic judgment unit through a lead, and a digital/analog signal conversion unit is electrically output and connected with a processing module through a lead, the information classification system for big data analysis based on skynet increases the operation flow and greatly improves the operation performance of the system, and the improved information classification system can perform detailed classification operation on the collected data, the inquiry operation of the later-stage user is more convenient, and the use requirements of people are effectively met.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to an information classification system for big data analysis based on skynet.
Background
The data collection system comprises: the system comprises functional modules such as visual report definition, audit relationship definition, report examination and approval and release, data filling, data preprocessing, data review, comprehensive query statistics and the like, and the coverage range of data collection is enlarged and the comprehensiveness, timeliness and accuracy of audit work are improved through information collection networking and digitization; finally, the modernization, program standardization, decision scientification and service networking of related business work management are realized, and an information classification system is an indispensable part of the process in the big data of the skynet.
However, the existing information classification system has the defects that the flow is simple, the comprehensiveness of data analysis and classification operation in the using process is obviously insufficient, so that the data is not convenient to use or query in the later period, the using requirements of people cannot be well met, and the like.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an information classification system for big data analysis based on skynet, which solves the problems that the information classification system provided in the background technology has simple flow, and the comprehensiveness of data analysis and classification operation in the use process is obvious, so that the data is not convenient to use or inquire in the later period, the use requirements of people cannot be well met, and the like.
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides an information classification system for big data analysis based on skynet, includes data acquisition module and information classification module, data acquisition module passes through the wire and is connected with data warehouse electrical output, and data warehouse passes through the wire and is connected with inquiry unit electrical output, data warehouse passes through the wire and is connected with data extraction module electrical output, and data extraction module passes through the wire and is connected with information classification module electrical output, information classification module passes through the wire and judges unit electrical output with the logic, and information classification module passes through the wire and is connected with digital/analog signal conversion unit electrical output, digital/analog signal conversion unit passes through the wire and is connected with processing module electrical output, and processing module passes through the wire and is connected with signal sending unit electrical output.
Optionally, the data acquisition module includes a data analysis unit, a data calculation unit, a data storage unit, a data integration unit and a file storage unit, the data analysis unit is electrically output and connected with the data calculation unit through a wire, the data calculation unit is electrically output and connected with the data storage unit through a wire, the data storage unit is electrically output and connected with the data integration unit through a wire, and the data integration unit is electrically output and connected with the file storage unit through a wire.
Optionally, the data analysis unit, the data calculation unit and the data storage unit are electrically connected in series through a wire, and the data storage unit, the file storage unit and the data integration unit are electrically connected in series through a wire.
Optionally, the data extraction module includes a data monitoring unit, a data mining unit and a data comparison unit, the data monitoring unit is electrically connected to the data mining unit through a wire, and the data mining unit is electrically connected to the data comparison unit through a wire.
Optionally, the data monitoring unit, the data mining unit and the data comparison unit are electrically connected in parallel through a wire, and the data monitoring unit, the data mining unit and the data comparison unit are electrically connected in series through a wire.
Optionally, the information classification module includes a structural classification unit, a basic classification unit, a complex classification unit and a character type classification unit, and the data extraction module is electrically output and connected with the structural classification unit through a wire, the data extraction module is electrically output and connected with the basic classification unit through a wire, the data extraction module is electrically output and connected with the complex classification unit through a wire, and the data extraction module is electrically output and connected with the character type classification unit through a wire.
Optionally, the structural classification unit, the basic classification unit, the complex classification unit and the character type classification unit are electrically connected in parallel through a wire, and the structural classification unit, the basic classification unit, the complex classification unit and the character type classification unit are electrically connected in series with the digital/analog signal conversion unit through a wire.
Optionally, the processing module includes a signal receiving unit, a signal processing unit and a signal integration unit, the signal receiving unit is electrically connected to the signal processing unit through a wire, and the signal processing unit is electrically connected to the signal integration unit through a wire.
Optionally, the signal receiving unit, the signal processing unit and the signal integrating unit are electrically connected in series through a wire, and the signal integrating unit is electrically output and connected with the signal sending unit through a wire.
The invention provides an information classification system for big data analysis based on skynet, which has the following beneficial effects:
1. the information classification system for big data analysis based on the skynet comprises a data acquisition module of the device, wherein the data acquisition module is formed by electrically matching a data analysis unit, a data calculation unit, a data storage unit, a data integration unit and a file storage unit, the collected big data are judged by the data analysis unit, then the data are sorted by the data calculation unit, the data storage unit and the data integration unit in sequence and summarized uniformly, and finally the data are stored by the file storage unit.
2. According to the information classification system for big data analysis based on the skynet, the data monitoring unit, the data mining unit and the data comparison unit form a data extraction module in the system, the data monitoring unit and the data mining unit are used for subdividing data, the data comparison unit can be used for avoiding the repetition of system contents in the process, and the system content ratio is reduced.
3. The information classification system for big data analysis based on the skynet comprises a processing module formed by electrically matching a signal receiving unit, a signal processing unit and a signal integration unit, wherein the processing module can record and process data of a search operation result of a user, the signal is firstly received by the signal receiving unit and then processed by the signal processing unit, the information is processed and calculated by utilizing the modern information processing technology, the information is stored by the signal integration unit, the signal sending unit is internally divided into a network signal interface and a local serial port interface, the network signal interface and the local serial port interface are electrically connected in parallel through a wire, signals are transmitted to the signal sending unit through a signal transfer technology, and data are transmitted through the network signal interface or the local serial port interface inside the signal sending unit.
Drawings
FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a schematic view of the internal flow of the data acquisition module of the present invention;
FIG. 3 is a schematic view of the internal flow of the data extraction module according to the present invention;
FIG. 4 is a schematic view of an internal flow of an information classification module according to the present invention;
FIG. 5 is a schematic view of the internal flow of the processing module according to the present invention.
In the figure: 1. a data acquisition module; 101. a data analysis unit; 102. a data calculation unit; 103. a data storage unit; 104. a data integration unit; 105. a file storage unit; 2. a data warehouse; 3. a query unit; 4. a data extraction module; 401. a data monitoring unit; 402. a data mining unit; 403. a data comparison unit; 5. an information classification module; 501. a structural classification unit; 502. a basic classification unit; 503. a complex classification unit; 504. a character type classification unit; 6. a logic judgment unit; 7. a digital/analog signal conversion unit; 8. a processing module; 801. a signal receiving unit; 802. a signal processing unit; 803. a signal integration unit; 9. a signal transmitting unit.
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.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus are not to be construed as limiting the present invention, and furthermore, the terms "first", "second", "third", and the like are only used for descriptive purposes and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate, and those skilled in the art will understand the specific meaning of the above terms in the present invention in specific situations.
Referring to fig. 1 to 5, the present invention provides a technical solution: an information classification system for big data analysis based on the skynet comprises a data acquisition module 1 and an information classification module 5, wherein the data acquisition module 1 is electrically connected with a data warehouse 2 through a lead, the data warehouse 2 is electrically connected with an inquiry unit 3 through a lead, the data acquisition module 1 comprises a data analysis unit 101, a data calculation unit 102, a data storage unit 103, a data integration unit 104 and a file storage unit 105, the data analysis unit 101 is electrically connected with the data calculation unit 102 through a lead, the data calculation unit 102 is electrically connected with the data storage unit 103 through a lead, the data storage unit 103 is electrically connected with the data integration unit 104 through a lead, the data integration unit 104 is electrically connected with the file storage unit 105 through a lead, and the data analysis unit 101, the data calculation unit 102 and the data storage unit 103 are electrically connected in series through leads, the data storage unit 103, the file storage unit 105 and the data integration unit 104 are electrically connected in series through a wire, the data analysis unit 101, the data calculation unit 102, the data storage unit 103, the data integration unit 104 and the file storage unit 105 are electrically matched to form the data acquisition module 1 of the device, the collected big data are firstly judged by the data analysis unit 101, then the data are sorted and summarized by the data calculation unit 102, the data storage unit 103 and the data integration unit 104 in sequence, and finally the data are stored by the file storage unit 105.
The data warehouse 2 is electrically connected with the data extraction module 4 through a wire, the data extraction module 4 is electrically connected with the information classification module 5 through a wire, the data extraction module 4 comprises a data monitoring unit 401, a data mining unit 402 and a data comparison unit 403, the data monitoring unit 401 is electrically connected with the data mining unit 402 through a wire, the data mining unit 402 is electrically connected with the data comparison unit 403 through a wire, the data monitoring unit 401, the data mining unit 402 and the data comparison unit 403 are electrically connected in parallel through a wire, the data monitoring unit 401, the data mining unit 402 and the data comparison unit 403 are electrically connected in series through a wire, the data extraction module 4 in the system is formed through the data monitoring unit 401, the data mining unit 402 and the data comparison unit 403, and the data is subdivided by means of the data monitoring unit 401 and the data mining unit 402, the data comparison unit 403 can avoid the duplication of the system content in the process and reduce the proportion of the system content, the data monitoring unit 401, the data mining unit 402 and the data comparison unit 403 form the data extraction module 4 in the system, the data monitoring unit 401 and the data mining unit 402 are used for subdividing the data, and the data comparison unit 403 can avoid the duplication of the system content in the process and reduce the proportion of the system content.
The information classification module 5 is electrically connected with the logic judgment unit 6 through a wire, the information classification module 5 is electrically connected with the digital/analog signal conversion unit 7 through a wire, the information classification module 5 comprises a structural classification unit 501, a basic classification unit 502, a complex classification unit 503 and a character type classification unit 504, the data extraction module 4 is electrically connected with the structural classification unit 501 through a wire, the data extraction module 4 is electrically connected with the basic classification unit 502 through a wire, the data extraction module 4 is electrically connected with the complex classification unit 503 through a wire, the data extraction module 4 is electrically connected with the character type classification unit 504 through a wire, the structural classification unit 501, the basic classification unit 502, the complex classification unit 503 and the character type classification unit 504 are electrically connected in parallel through wires, and the structural classification unit 501, the complex classification unit 503 and the character type classification unit 504 are electrically connected in parallel through wires, The basic classification unit 502, the complex classification unit 503 and the character type classification unit 504 are electrically connected in series with the digital/analog signal conversion unit 7 through wires.
The digital/analog signal conversion unit 7 is electrically connected with the processing module 8 through a wire, the processing module 8 is electrically connected with the signal sending unit 9 through a wire, the processing module 8 comprises a signal receiving unit 801, a signal processing unit 802 and a signal integration unit 803, the signal receiving unit 801 is electrically connected with the signal processing unit 802 through a wire, the signal processing unit 802 is electrically connected with the signal integration unit 803 through a wire, the signal receiving unit 801, the signal processing unit 802 and the signal integration unit 803 are electrically connected in series through a wire, the signal integration unit 803 is electrically connected with the signal sending unit 9 through a wire, the processing module 8 is formed through the electrical matching among the signal receiving unit 801, the signal processing unit 802 and the signal integration unit 803, and the processing module 8 can record and process data of the search operation result of a user, the signal is firstly received 801 by the signal receiving unit, then the signal processing unit 802 processes the signal, the information is processed and calculated by using the modern information processing technology, the signal integrating unit 803 stores the information, the signal sending unit 9 is internally divided into a network signal interface and a local serial port interface, the network signal interface and the local serial port interface are electrically connected in parallel through a wire, the signal is transmitted to the signal sending unit 9 by using the signal switching technology, and the data is transmitted by using the network signal interface or the local serial port interface inside the signal sending unit 9.
To sum up, when the information classification system for big data analysis based on skynet is used, collected big data is judged by the data analysis unit 101, then the data is sorted and summarized by the data calculation unit 102, the data storage unit 103 and the data integration unit 104 in sequence, finally the data is stored by the file storage unit 105, then the collected and stored equipment is classified by the structural classification unit 501, the basic classification unit 502, the complex classification unit 503 and the character type classification unit 504, the comprehensiveness of the internal flow of the system is greatly improved, the processing module 8 can record and process data of the search operation result of a user, signals are received by the signal receiving unit 801, then the signals are processed by the signal processing unit 802, and the information is processed by the modern information processing technology, And in operation, the signal integration unit 803 stores the information, the signal sending unit 9 is internally divided into a network signal interface and a local serial port interface, the network signal interface and the local serial port interface are electrically connected in parallel through a wire, a signal is transmitted to the signal sending unit 9 through a signal transfer technology, the data is transmitted by using the network signal interface or the local serial port interface inside the signal sending unit 9, the data is subdivided by depending on the data monitoring unit 401 and the data mining unit 402, the duplication of system contents inside the process can be avoided through the data comparison unit 403, and the system content ratio is reduced.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The utility model provides an information classification system for big data analysis based on skynet, includes data acquisition module (1) and information classification module (5), its characterized in that: the data acquisition module (1) is connected with the data warehouse (2) through a wire in an electric output manner, the data warehouse (2) is connected with the query unit (3) through a wire in an electric output manner, the data warehouse (2) is connected with the data extraction module (4) through a wire in an electric output manner, the data extraction module (4) is connected with the information classification module (5) through a wire in an electric output manner, the information classification module (5) is connected with the logic judgment unit (6) through a wire in an electric output manner, the information classification module (5) is connected with the digital/analog signal conversion unit (7) through a wire in an electric output manner, the digital/analog signal conversion unit (7) is connected with the processing module (8) through a wire in an electric output manner, and the processing module (8) is connected with the signal sending unit (9) through a wire in an electric output manner.
2. The information classification system for big data analysis based on skynet as claimed in claim 1, wherein: the data acquisition module (1) comprises a data analysis unit (101), a data calculation unit (102), a data storage unit (103), a data integration unit (104) and a file storage unit (105), wherein the data analysis unit (101) is electrically output and connected with the data calculation unit (102) through a lead, the data calculation unit (102) is electrically output and connected with the data storage unit (103) through a lead, the data storage unit (103) is electrically output and connected with the data integration unit (104) through a lead, and the data integration unit (104) is electrically output and connected with the file storage unit (105) through a lead.
3. The information classification system for big data analysis based on skynet as claimed in claim 2, wherein: the data analysis unit (101), the data calculation unit (102) and the data storage unit (103) are electrically connected in series through conducting wires, and the data storage unit (103), the file storage unit (105) and the data integration unit (104) are electrically connected in series through conducting wires.
4. The information classification system for big data analysis based on skynet as claimed in claim 1, wherein: the data extraction module (4) comprises a data monitoring unit (401), a data mining unit (402) and a data comparison unit (403), the data monitoring unit (401) is electrically output and connected with the data mining unit (402) through a lead, and the data mining unit (402) is electrically output and connected with the data comparison unit (403) through a lead.
5. The information classification system for big data analysis based on skynet as claimed in claim 5, wherein: the data monitoring unit (401), the data mining unit (402) and the data comparison unit (403) are electrically connected in parallel through conducting wires, and the data monitoring unit (401), the data mining unit (402) and the data comparison unit (403) are electrically connected in series through conducting wires.
6. The information classification system for big data analysis based on skynet as claimed in claim 1, wherein: the information classification module (5) comprises a structural classification unit (501), a basic classification unit (502), a complex classification unit (503) and a character type classification unit (504), the data extraction module (4) is electrically output and connected with the structural classification unit (501) through a lead, the data extraction module (4) is electrically output and connected with the basic classification unit (502) through a lead, the data extraction module (4) is electrically output and connected with the complex classification unit (503) through a lead, and the data extraction module (4) is electrically output and connected with the character type classification unit (504) through a lead.
7. The information classification system for big data analysis based on skynet as claimed in claim 6, wherein: the structural classification unit (501), the basic classification unit (502), the complex classification unit (503) and the character type classification unit (504) are electrically connected in parallel through conducting wires, and the structural classification unit (501), the basic classification unit (502), the complex classification unit (503) and the character type classification unit (504) are electrically connected in series with the digital/analog signal conversion unit (7) through conducting wires.
8. The information classification system for big data analysis based on skynet as claimed in claim 1, wherein: the processing module (8) comprises a signal receiving unit (801), a signal processing unit (802) and a signal integration unit (803), wherein the signal receiving unit (801) is electrically output and connected with the signal processing unit (802) through a lead, and the signal processing unit (802) is electrically output and connected with the signal integration unit (803) through a lead.
9. The information classification system for big data analysis based on skynet as claimed in claim 8, wherein: the signal receiving unit (801), the signal processing unit (802) and the signal integration unit (803) are electrically connected in series through conducting wires, and the signal integration unit (803) is electrically output and connected with the signal sending unit (9) through conducting wires.
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Cited By (1)
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