CN111078767A - Big data analysis system based on network data platform - Google Patents
Big data analysis system based on network data platform Download PDFInfo
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- CN111078767A CN111078767A CN201911161869.3A CN201911161869A CN111078767A CN 111078767 A CN111078767 A CN 111078767A CN 201911161869 A CN201911161869 A CN 201911161869A CN 111078767 A CN111078767 A CN 111078767A
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Abstract
The invention discloses a big data analysis system based on a network data platform, which relates to the technical field of big data analysis, in particular to a big data analysis system based on a network data platform, comprising a data platform, a data storage module and a processing module, wherein the data platform is electrically output and connected with a big data basic analysis module through a lead, the data storage module is electrically output and connected with a digital/analog signal conversion unit through a lead, a user can analyze the operation flow in the system through a big data analysis demonstration unit, a visual interaction and open interface and big data intelligent knowledge acquisition respectively, then all recording units can be checked and judged through a heterogeneous big data preprocessing and mining and analysis computing system, the repetition rate of the data analysis flow is avoided in the flow, the operation memory of the process is reduced, 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 a big data analysis system based on a network data platform.
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; the data analysis refers to the process of analyzing a large amount of collected data by using a proper statistical analysis method, extracting useful information and forming a conclusion to carry out detailed research and summary on the data, and the process is also a support process of a quality management system, can help people to make judgment in practical data analysis so as to take proper actions, the mathematical basis of the data analysis is established in the early 20 th century, but the actual operation is not possible until the appearance of a computer, and the data analysis is popularized, and is a product combining mathematics and computer science.
However, the existing big data operating system has a simple flow structure and only has basic functions of data collection and storage, so that the data itself cannot be analyzed comprehensively, the accuracy of the data in the reading or collecting process cannot be maintained, and the use requirements cannot be met well.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a big data analysis system based on a network data platform, which solves the problems that the existing big data operation system proposed in the background art has a simpler flow structure and only has the basic functions of data collection and storage, so that the data can not be comprehensively analyzed, the accuracy of the data in the reading or collecting process can not be maintained, the use requirement can not 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 a big data analysis system based on network data platform, includes data platform, data storage module and processing module, data platform passes through the wire and is connected with big data basic analysis module electrical output, and big data basic analysis module passes through the wire and is connected with data storage module electrical output, data storage module passes through the wire and is connected with digital/analog signal conversion unit electrical output, and digital/analog signal conversion unit passes through the wire and is connected with processing module electrical output, processing module passes through the wire and is connected with signal sending unit electrical output.
Optionally, the data platform includes a data collection unit, a data classification unit, a data conversion unit, a data comparison unit, a logic judgment unit, an error value correction unit and a data transmission unit, the data collection unit is electrically output and connected with the data classification unit through a wire, the data classification unit is electrically output and connected with the data conversion unit through a wire, the data conversion unit is electrically output and connected with the data comparison unit through a wire, the data comparison unit is electrically output and connected with the logic judgment unit through a wire, the logic judgment unit is electrically output and connected with the error value correction unit through a wire, and the error value correction unit is electrically output and connected with the data transmission unit through a wire.
Optionally, the data collection unit, the data classification unit, the data conversion unit, the data comparison unit and the data transmission unit are electrically connected in series through a wire, and the data comparison unit, the logic judgment unit, the error correction unit and the data transmission unit are electrically connected in series through a wire.
Optionally, the big data basic analysis module includes a big data analysis demonstration unit, a visual interaction and open interface, a big data intelligent knowledge acquisition, a heterogeneous big data preprocessing, a mining and analysis computing system, and a mining result and decision support, and the big data analysis demonstration unit is electrically output-connected with the visual interaction and open interface through a wire, the visual interaction and open interface is electrically output-connected with the big data intelligent knowledge acquisition through a wire, the big data intelligent knowledge acquisition is electrically output-connected with the heterogeneous big data preprocessing through a wire, the heterogeneous big data preprocessing is electrically output-connected with the mining and analysis computing system through a wire, and the mining and analysis computing system is electrically output-connected with the mining result and decision support through a wire.
Optionally, the big data analysis demonstration unit, the visual interaction and open interface, the big data intelligent knowledge acquisition, the heterogeneous big data preprocessing, the mining and analysis computing system, the mining result and the decision support are electrically connected in parallel through a wire, and the big data analysis demonstration unit, the visual interaction and open interface, the big data intelligent knowledge acquisition, the heterogeneous big data preprocessing, the mining and analysis computing system, the mining result and the decision support are electrically connected in series through a wire.
Optionally, the data storage module includes a data computing unit, a data storage unit, a data integration unit and a file storage unit, the data computing unit is electrically connected to the data storage unit through a wire, the data storage unit is electrically connected to the data integration unit through a wire, and the data storage unit is electrically connected to the file storage unit through a wire.
Optionally, the data integration unit and the file storage unit are electrically connected in parallel through a wire, and the data storage unit, the file storage unit and the data integration unit are sequentially electrically connected in series 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 and the signal sending unit are electrically connected in series through a wire.
The invention provides a big data analysis system based on a network data platform, which has the following beneficial effects:
1. the big data analysis system based on the network data platform forms the data platform through the cooperation between the data collection unit, the data classification unit, the data conversion unit, the data comparison unit, the logic judgment unit, the error value correction unit and the data transmission unit, collects external data by the data collection unit, classifies the data by the data classification unit, compares the collected data with the original data by the cooperation between the data conversion unit and the data comparison unit, and verifies and confirms the data content through the data comparison unit and the logic judgment unit in the storage process.
2. According to the big data analysis system based on the network data platform, a big data basic analysis module is formed through the cooperation of the big data analysis demonstration unit, the visual interaction and open interface, the big data intelligent knowledge acquisition, the heterogeneous big data preprocessing, the mining and analysis computing system and the mining result and decision support, a user can analyze the operation flow inside the system through the big data analysis demonstration unit, the visual interaction and open interface and the big data intelligent knowledge acquisition respectively, then all recording units can be checked and judged through the heterogeneous big data preprocessing and mining and analysis computing system, the big data basic analysis module is divided into a parallel connection mode and a serial connection mode, the repetition rate of the data analysis flow is avoided, and the operation memory of the flow is reduced.
3. The big data analysis system based on the network data platform is characterized in that a data storage module is formed by matching a data calculation unit, a data storage unit, a data integration unit and a file storage unit, collected big data are sorted and summarized uniformly by the data calculation unit, the data storage unit and the data integration unit, and finally the data are stored by the file storage unit.
4. The big data analysis system based on the network data platform forms a processing module through the electrical matching among the signal receiving unit, the signal processing unit and the signal integration unit, the processing module can record and process data of a search operation result of a user, a 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 inside of the signal sending unit is 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 diagram of the interior of a data platform according to the present invention;
FIG. 3 is a schematic diagram of the inside of a big data base analysis module according to the present invention;
FIG. 4 is an internal schematic view of a data storage module according to the present invention;
FIG. 5 is a schematic view of the interior of the processing module according to the present invention.
In the figure: 1. a data platform; 101. a data collection unit; 102. a data classification unit; 103. a data conversion unit; 104. a data comparison unit; 105. a logic judgment unit; 106. an error value correcting unit; 107. a data transfer unit; 2. a big data base analysis module; 201. a big data analysis demonstration unit; 202. visual interactive and open interfaces; 203. acquiring big data intelligent knowledge; 204. preprocessing heterogeneous big data; 205. a mining and analysis computing system; 206. mining results and decision support; 3. a data storage module; 301. a data calculation unit; 302. a data storage unit; 303. a data integration unit; 304. a file storage unit; 4. a digital/analog signal conversion unit; 5. a processing module; 501. a signal receiving unit; 502. a signal processing unit; 503. a signal integration unit; 6. 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: a big data analysis system based on a network data platform comprises a data platform 1, a data storage module 3 and a processing module 5, wherein the data platform 1 is electrically connected with a big data basic analysis module 2 through a lead, the big data basic analysis module 2 is electrically connected with the data storage module 3 through a lead, the data platform 1 comprises a data collection unit 101, a data classification unit 102, a data conversion unit 103, a data comparison unit 104, a logic judgment unit 105, an error correction unit 106 and a data transmission unit 107, the data collection unit 101 is electrically connected with the data classification unit 102 through a lead, the data classification unit 102 is electrically connected with the data conversion unit 103 through a lead, the data conversion unit 103 is electrically connected with the data comparison unit 104 through a lead, and the data comparison unit 104 is electrically connected with the logic judgment unit 105 through a lead, the logic judgment unit 105 is electrically connected with the error correction unit 106 through a wire, the error correction unit 106 is electrically connected with the data transmission unit 107 through a wire, the data collection unit 101, the data classification unit 102, the data conversion unit 103, the data comparison unit 104 and the data transmission unit 107 are electrically connected in series through a wire, the data comparison unit 104, the logic judgment unit 105, the error correction unit 106 and the data transmission unit 107 are electrically connected in series through a wire, the data collection unit 101, the data classification unit 102, the data conversion unit 103, the data comparison unit 104, the logic judgment unit 105, the error correction unit 106 and the data transmission unit 107 are matched to form a data platform 1, external data is collected by the data collection unit 101, and then the data is classified and processed by the data classification unit 102, the collected data is compared with the original data by the cooperation between the data conversion unit 103 and the data comparison unit 104, and the data content can be verified and confirmed by the data comparison unit 104 and the logic judgment unit 105 in the storage process.
The big data basic analysis module 2 comprises a big data analysis demonstration unit 201, a visual interaction and open interface 202, a big data intelligent knowledge acquisition 203, a heterogeneous big data preprocessing 204, a mining and analysis computing system 205 and a mining result and decision support 206, wherein the big data analysis demonstration unit 201 is electrically output connected with the visual interaction and open interface 202 through a lead, the visual interaction and open interface 202 is electrically output connected with the big data intelligent knowledge acquisition 203 through a lead, the big data intelligent knowledge acquisition 203 is electrically output connected with the heterogeneous big data preprocessing 204 through a lead, the heterogeneous big data preprocessing 204 is electrically output connected with the mining and analysis computing system 205 through a lead, the mining and analysis computing system 205 is electrically output connected with the mining result and decision support 206 through a lead, the big data analysis demonstration unit 201, the visual interaction and open interface 202, The big data intelligent knowledge acquisition 203, the heterogeneous big data preprocessing 204, the mining and analyzing computing system 205 and the mining result and decision support 206 are electrically connected in parallel through a wire, the big data analyzing demonstration unit 201, the visual interaction and open interface 202, the big data intelligent knowledge acquisition 203, the heterogeneous big data preprocessing 204, the mining and analyzing computing system 205 and the mining result and decision support 206 are electrically connected in series through a wire, the big data analyzing demonstration unit 201, the visual interaction and open interface 202, the big data intelligent knowledge acquisition 203, the heterogeneous big data preprocessing 204, the mining and analyzing computing system 205 and the mining result and decision support 206 are matched to form a big data basic analysis module 2, and a user can analyze the operation flow in the system through the big data analyzing demonstration unit 201, the visual interaction and open interface 202 and the big data intelligent knowledge acquisition 203 respectively, all the recording units can be checked and judged through heterogeneous big data preprocessing 204 and a mining and analyzing computing system 205, and the inside of the big data basic analysis module 2 is divided into a parallel connection mode and a serial connection mode, so that the repetition rate of a data analysis process is avoided, and the operation memory of the process is reduced.
The data storage module 3 is electrically connected with the digital/analog signal conversion unit 4 through a conducting wire, the digital/analog signal conversion unit 4 is electrically connected with the processing module 5 through a conducting wire, the data storage module 3 comprises a data calculation unit 301, a data storage unit 302, a data integration unit 303 and a file storage unit 304, the data calculation unit 301 is electrically connected with the data storage unit 302 through a conducting wire, the data storage unit 302 is electrically connected with the data integration unit 303 through a conducting wire, the data storage unit 302 is electrically connected with the file storage unit 304 through a conducting wire, the data integration unit 303 and the file storage unit 304 are electrically connected in parallel through a conducting wire, the data storage unit 302, the file storage unit 304 and the data integration unit 303 are sequentially and electrically connected in series through the conducting wire, and the data calculation unit 301, the data storage unit 302, the file storage unit 304, The data storage module 3 is formed by the cooperation of the data integration unit 303 and the file storage unit 304, the collected big data are sorted and summarized uniformly by the data calculation unit 301, the data storage unit 302 and the data integration unit 303, and finally the data are stored by the file storage unit 304.
The processing module 5 is electrically connected with the signal sending unit 6 through a wire, the processing module 5 comprises a signal receiving unit 501, a signal processing unit 502 and a signal integrating unit 503, the signal receiving unit 501 is electrically connected with the signal processing unit 502 through a wire, the signal processing unit 502 is electrically connected with the signal integrating unit 503 through a wire, the signal receiving unit 501, the signal processing unit 502 and the signal integrating unit 503 are electrically connected in series through a wire, the signal integrating unit 503 and the signal sending unit 6 are electrically connected in series through a wire, the processing module 5 is formed through the electrical matching among the signal receiving unit 501, the signal processing unit 502 and the signal integrating unit 503, the processing module 5 can record and process data of a search operation result of a user, and a signal is firstly received by the signal receiving unit 501, then the signal processing unit 502 processes the signal, processes and calculates the information by using the modern information processing technology, the signal integration unit 503 stores the information, the inside of the signal sending unit 6 is 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 by a wire, the signal is transmitted to the signal sending unit 6 by using the signal transfer technology, and the data is transmitted by using the network signal interface or the local serial port interface inside the signal sending unit 6.
In summary, when the big data analysis system based on the network data platform is used, firstly, the external data is collected by the data collection unit 101, secondly, the data is classified by the data classification unit 102, secondly, the collected data is compared with the original data by the cooperation between the data conversion unit 103 and the data comparison unit 104, in the process of storage, the data content can be verified and confirmed by the data comparison unit 104 and the logic judgment unit 105, secondly, a user can analyze the operation flow inside the system by the big data analysis demonstration unit 201, the visual interaction and open interface 202 and the big data intelligent knowledge acquisition unit 203, secondly, all the recording units can be verified and judged by the heterogeneous big data preprocessing unit 204 and the mining and analysis calculation system 205, and the inside of the big data basic analysis module 2 is divided into parallel connection and series connection, the repetition rate of the data analysis process is avoided, the operation memory of the process is reduced, the collected big data is sorted by using the data calculation unit 301, the data storage unit 302 and the data integration unit 303, the data is summarized and unified, the data is stored by using the file storage unit 304, the processing module 5 can record and process the search operation result of the user, the signal is firstly received by the signal receiving unit 501, then the signal processing unit 502 processes the signal, the information is processed and operated by using the modern information processing technology, the signal integration unit 503 stores the information, the inside of the signal sending unit 6 is divided into a network signal interface and a local serial interface, the network signal interface and the local serial interface are electrically connected in parallel through a wire, and the signal is transmitted to the signal sending unit 6 through the signal transfer technology, and the data is transmitted by using a network signal interface or a local serial interface inside the signal sending unit 6.
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. A big data analysis system based on a network data platform comprises a data platform (1), a data storage module (3) and a processing module (5), and is characterized in that: the data platform (1) is electrically output and connected with the big data basic analysis module (2) through a wire, the big data basic analysis module (2) is electrically output and connected with the data storage module (3) through a wire, the data storage module (3) is electrically output and connected with the digital/analog signal conversion unit (4) through a wire, the digital/analog signal conversion unit (4) is electrically output and connected with the processing module (5) through a wire, and the processing module (5) is electrically output and connected with the signal sending unit (6) through a wire.
2. The big data analysis system based on the network data platform as claimed in claim 1, wherein: the data platform (1) comprises a data collection unit (101), a data classification unit (102), a data conversion unit (103), a data comparison unit (104), a logic judgment unit (105), an error value correction unit (106) and a data transmission unit (107), the data collection unit (101) is electrically connected with the data classification unit (102) through a lead, the data classification unit (102) is electrically connected with the data conversion unit (103) through a wire, the data conversion unit (103) is electrically connected with the data comparison unit (104) through a lead, the data comparison unit (104) is electrically connected with the logic judgment unit (105) through a wire, the logic judgment unit (105) is electrically connected with the error value correction unit (106) through a lead, and the error value correcting unit (106) is electrically connected with the data transmission unit (107) through a wire.
3. The big data analysis system based on the network data platform as claimed in claim 2, wherein: the data collection unit (101), the data classification unit (102), the data conversion unit (103), the data comparison unit (104) and the data transmission unit (107) are electrically connected in series through a wire, and the data comparison unit (104), the logic judgment unit (105), the error correction unit (106) and the data transmission unit (107) are electrically connected in series through a wire.
4. The big data analysis system based on the network data platform as claimed in claim 1, wherein: the big data basic analysis module (2) comprises a big data analysis demonstration unit (201), a visual interaction and open interface (202), big data intelligent knowledge acquisition (203), heterogeneous big data preprocessing (204), a mining and analysis computing system (205) and mining result and decision support (206), and the big data analysis demonstration unit (201) is electrically connected with the visual interaction and open interface (202) through a lead, the visual interaction and open interface (202) is electrically connected with the big data intelligent knowledge acquisition (203) through a lead, and the big data intelligent knowledge acquisition (203) is electrically connected with the heterogeneous big data preprocessing (204) through a lead, the heterogeneous big data preprocessing (204) is electrically connected with the mining and analyzing computing system (205) through a lead, and the mining and analysis computing system (205) is electrically connected with the mining result and decision support (206) output through a wire.
5. The big data analysis system based on the network data platform as claimed in claim 4, wherein: the big data analysis demonstration unit (201), the visual interaction and open interface (202), the big data intelligent knowledge acquisition (203), the heterogeneous big data preprocessing (204), the mining and analysis computing system (205) and the mining result and decision support (206) are electrically connected in parallel through wires, and the big data analysis demonstration unit (201), the visual interaction and open interface (202), the big data intelligent knowledge acquisition (203), the heterogeneous big data preprocessing (204), the mining and analysis computing system (205) and the mining result and decision support (206) are electrically connected in series through wires.
6. The big data analysis system based on the network data platform as claimed in claim 1, wherein: the data storage module (3) comprises a data calculation unit (301), a data storage unit (302), a data integration unit (303) and a file storage unit (304), wherein the data calculation unit (301) is electrically connected with the data storage unit (302) in an output mode through a conducting wire, the data storage unit (302) is electrically connected with the data integration unit (303) in an output mode through a conducting wire, and the data storage unit (302) is electrically connected with the file storage unit (304) in an output mode through a conducting wire.
7. The big data analysis system based on the network data platform as claimed in claim 6, wherein: the data integration unit (303) and the file storage unit (304) are electrically connected in parallel through a conducting wire, and the data storage unit (302), the file storage unit (304) and the data integration unit (303) are sequentially and electrically connected in series through the conducting wire.
8. The big data analysis system based on the network data platform as claimed in claim 1, wherein: the processing module (5) comprises a signal receiving unit (501), a signal processing unit (502) and a signal integration unit (503), wherein the signal receiving unit (501) is electrically connected with the signal processing unit (502) in an output mode through a lead, and the signal processing unit (502) is electrically connected with the signal integration unit (503) in an output mode through a lead.
9. The big data analysis system based on the network data platform as claimed in claim 8, wherein: the signal receiving unit (501), the signal processing unit (502) and the signal integration unit (503) are electrically connected in series through a lead, and the signal integration unit (503) and the signal sending unit (6) are electrically connected in series through a lead.
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| CN111930806B (en) * | 2020-08-13 | 2023-12-05 | 衢州学院 | Novel data mining is with storage device |
| CN117076810A (en) * | 2023-10-12 | 2023-11-17 | 睿至科技集团有限公司 | Internet big data processing system and method based on artificial intelligence |
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Application publication date: 20200428 |