CN111814013A - Intelligent enterprise information processing method based on big data - Google Patents
Intelligent enterprise information processing method based on big data Download PDFInfo
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- CN111814013A CN111814013A CN202010695336.XA CN202010695336A CN111814013A CN 111814013 A CN111814013 A CN 111814013A CN 202010695336 A CN202010695336 A CN 202010695336A CN 111814013 A CN111814013 A CN 111814013A
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Abstract
The invention relates to the technical field of enterprise information processing, and discloses an intelligent enterprise information processing method based on big data, which comprises the following steps: the intelligent enterprise information processing system based on the big data is established and comprises a central processing unit, an enterprise information base, a local area network transceiver, a classification processing module, a network transceiver I, a big data analysis unit, a database, effective information, invalid information, a network transceiver II and an information recovery base, wherein the input end of the central processing unit is connected with the output end signal of the enterprise information base. The information in the enterprise information base is classified through the classification processing module and then is sent to the big data analysis unit, the big data analysis unit compares the data, the information screening module in the big data analysis unit screens the data into effective information and ineffective information, the working efficiency is improved, and the effective information is sent to the enterprise information base through the network transceiver II, so that the enterprise personnel can use the information conveniently.
Description
Technical Field
The invention relates to the technical field of enterprise information processing, in particular to an intelligent enterprise information processing method based on big data.
Background
Big data (big data), an IT industry term, refers to a data set that 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 that needs a new processing mode to have stronger decision making power, insight discovery power and flow optimization capability, and in the big data era written by vikto meier-schenberg and kenius cusk, the big data refers to a shortcut without using a random analysis method (sampling survey) and is analyzed and processed by all data. 5V characteristics of big data (proposed by IBM): volume (bulk), Velocity (high speed), Variety (diverse), Value (low Value density), Veracity (authenticity), enterprise information Management (EIM for short): refers to the management of the enterprise information implementation process. The method is a process that the information technology permeates enterprises comprehensively from local to global and from tactical level to strategic level, is applied to each process and supports enterprise operation management.
The existing enterprise information processing can not screen information, so that a large amount of useless information can be generated, and the working efficiency is influenced.
Disclosure of Invention
The invention aims to provide an intelligent enterprise information processing method based on big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent enterprise information processing method based on big data comprises the following steps:
s1, establishing a big data-based intelligent enterprise information processing system, which comprises a central processing unit, an enterprise information base, a local area network transceiver, a classification processing module, a first network transceiver, a big data analysis unit, a database, effective information, ineffective information, a second network transceiver and an information recovery base, wherein the input end of the central processing unit is connected with the output end of the enterprise information base through a signal, the output end of the central processing unit is connected with the input end of the local area network transceiver through a signal, the output end of the local area network transceiver is connected with the input end of the classification processing module through a signal, the output end of the classification processing module is connected with the input end of the first network transceiver through a signal, the output end of the first network transceiver is connected with the input end of the big data analysis unit through a signal, and the input end of the big data analysis unit is connected with the output end of the database through, the output end of the big data analysis unit is connected with an effective information signal, the output end of the big data analysis unit is connected with an invalid signal, the output end of the effective information is connected with the input end of a second network transceiver, the output end of the second network transceiver is connected with the input end of the enterprise information base, and the output end of the invalid information is connected with the input end of the information recovery base;
s2, the central processing unit sends the information in the enterprise information base to the classification processing module through the local area network transceiver;
s3, the classification processing module classifies the information in the enterprise information base, and then sends the classified data to the big data analysis unit through the network transceiver;
s4, the big data analysis unit processes the data according to the data in the database and divides the information into valid information and invalid information;
and S5, sending the valid information to the enterprise information base through the network transceiver II, and sending the invalid information to the information recycling base.
Preferably, the big data analysis unit internally comprises a data comparison module and an information screening module.
Preferably, the model of the first network transceiver and the second network transceiver is TP-LINKTL-FC111A + FC 114B.
Preferably, the information in the information recycling library can be read through a network.
The invention provides an intelligent enterprise information processing method based on big data. The method has the following beneficial effects:
(1) the information in the enterprise information base is sent to the classification processing module through the local area network transceiver by the central processing unit, so that the data can be classified and processed, and the analysis efficiency is improved.
(2) The information in the enterprise information base is classified through the classification processing module, the classified data is sent to the big data analysis unit through the network transceiver, the data comparison module in the big data analysis unit compares the data, and the information screening module in the big data analysis unit screens the data into effective information and invalid information, so that the effective information can be conveniently used by enterprises, the working efficiency is improved, and the invalid information can be read through the network, so that the use is convenient.
(3) The invention can directly send the effective information to the enterprise information base through the network transceiver II, thereby facilitating the use of enterprise personnel.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
In the figure: the system comprises a central processing unit 1, an enterprise information base 2, a local area network transceiver 3, a classification processing module 4, a network transceiver I5, a big data analysis unit 6, a data comparison module 601, an information screening module 602, a database 7, effective information 8, ineffective information 9, a network transceiver II 10 and an information recovery base 11.
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. Examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The first embodiment is as follows:
an intelligent enterprise information processing method based on big data comprises the following steps:
s1, a big data based intelligent enterprise information processing system is established, the system comprises a central processing unit 1, an enterprise information base 2, a local area network transceiver 3, a classification processing module 4, a first network transceiver 5, a big data analysis unit 6, a database 7, effective information 8, ineffective information 9, a second network transceiver 10 and an information recycling base 11, the big data analysis unit 6 comprises a data comparison module 601 and an information screening module 602 inside, the models of the first network transceiver 5 and the second network transceiver 10 are TP-LINK TL-FC111A + FC114B, the input end of the central processing unit 1 is connected with the output end signal of the enterprise information base 2, the output end of the central processing unit 1 is connected with the input end signal of the local area network transceiver 3, the output end of the local area network transceiver 3 is connected with the input end signal of the classification processing module 4, the output end of the classification processing module 4 is connected with the input end signal of the first network transceiver 5, the output end of the network transceiver I5 is in signal connection with the input end of the big data analysis unit 6, the input end of the big data analysis unit 6 is in signal connection with the output end of the database 7, the output end of the big data analysis unit 6 is in signal connection with the valid information 8, the output end of the big data analysis unit 6 is in signal connection with the invalid signal 9, the output end of the valid information 8 is in signal connection with the input end of the network transceiver II 10, the output end of the network transceiver II 10 is in signal connection with the input end of the enterprise information base 2, the output end of the invalid information 9 is in signal connection with the input end of the information recycling base 11, the information in the information recycling base 11 can be read through the network, the information in the enterprise information base 2 is sent to the classification processing module 4 through the local area network transceiver 3 through the central processing unit 1, thereby classifying the data and improving the analysis efficiency, the information in the enterprise information base 2 is classified through the classification processing module 4, the classified data is sent to the big data analysis unit 6 through the network transceiver I5, the data comparison module 601 in the big data analysis unit 6 compares the data, the information screening module 602 in the big data analysis unit 6 screens the data into effective information 8 and ineffective information 9, so that the effective information 8 can be conveniently used by enterprises, the working efficiency is improved, the ineffective information 9 can be read through the network, the use is convenient, and the effective information 8 can be directly sent to the enterprise information base 2 through the network transceiver II 10, so that the use of enterprise personnel is convenient;
s2, the central processing unit 1 sends the information in the enterprise information base 2 to the classification processing module 4 through the local area network transceiver 3;
s3, the classification processing module 4 classifies the information in the enterprise information base 2, and then the data after classification processing is sent to the big data analysis unit 6 through the network transceiver I5;
s4, the big data analysis unit 6 processes the data according to the data in the database 7, and the information is divided into valid information 8 and invalid information 9;
and S5, sending the effective information 8 to the enterprise information base 2 through the second network transceiver 10.
Example two:
an intelligent enterprise information processing method based on big data comprises the following steps:
s1, a big data based intelligent enterprise information processing system is established, the system comprises a central processing unit 1, an enterprise information base 2, a local area network transceiver 3, a classification processing module 4, a first network transceiver 5, a big data analysis unit 6, a database 7, effective information 8, ineffective information 9, a second network transceiver 10 and an information recycling base 11, the big data analysis unit 6 comprises a data comparison module 601 and an information screening module 602 inside, the models of the first network transceiver 5 and the second network transceiver 10 are TP-LINK TL-FC111A + FC114B, the input end of the central processing unit 1 is connected with the output end signal of the enterprise information base 2, the output end of the central processing unit 1 is connected with the input end signal of the local area network transceiver 3, the output end of the local area network transceiver 3 is connected with the input end signal of the classification processing module 4, the output end of the classification processing module 4 is connected with the input end signal of the first network transceiver 5, the output end of the network transceiver I5 is in signal connection with the input end of the big data analysis unit 6, the input end of the big data analysis unit 6 is in signal connection with the output end of the database 7, the output end of the big data analysis unit 6 is in signal connection with the valid information 8, the output end of the big data analysis unit 6 is in signal connection with the invalid signal 9, the output end of the valid information 8 is in signal connection with the input end of the network transceiver II 10, the output end of the network transceiver II 10 is in signal connection with the input end of the enterprise information base 2, the output end of the invalid information 9 is in signal connection with the input end of the information recycling base 11, the information in the information recycling base 11 can be read through the network, the information in the enterprise information base 2 is sent to the classification processing module 4 through the local area network transceiver 3 through the central processing unit 1, thereby classifying the data and improving the analysis efficiency, the information in the enterprise information base 2 is classified through the classification processing module 4, the classified data is sent to the big data analysis unit 6 through the network transceiver I5, the data comparison module 601 in the big data analysis unit 6 compares the data, the information screening module 602 in the big data analysis unit 6 screens the data into effective information 8 and ineffective information 9, so that the effective information 8 can be conveniently used by enterprises, the working efficiency is improved, the ineffective information 9 can be read through the network, the use is convenient, and the effective information 8 can be directly sent to the enterprise information base 2 through the network transceiver II 10, so that the use of enterprise personnel is convenient;
s2, the central processing unit 1 sends the information in the enterprise information base 2 to the classification processing module 4 through the local area network transceiver 3;
s3, the classification processing module 4 classifies the information in the enterprise information base 2, and then the data after classification processing is sent to the big data analysis unit 6 through the network transceiver I5;
s4, the big data analysis unit 6 processes the data according to the data in the database 7, and the information is divided into valid information 8 and invalid information 9;
s5, the invalid information 9 is sent to the information collection library 11.
According to the working principle, when the enterprise information base classification system is used, a central processing unit starts information in an enterprise information base to a classification processing module through a local area network transceiver, the classification processing module classifies the information in the enterprise information base, then sends the data after classification processing to a big data analysis unit through a network transceiver, the big data analysis unit processes the data according to the data in the database, the information is divided into effective information and invalid information, the effective information is sent to the enterprise information base through a network transceiver II, and the invalid information is sent to an information recycling base.
In summary, the invention can use the central processing unit 1 to launch the information in the enterprise information base 2 to the classification processing module 4 through the local area network transceiver 3, so as to classify the data, thereby improving the analysis efficiency, the classification processing module 4 classifies the information in the enterprise information base 2, then the classified data is sent to the big data analysis unit 6 through the network transceiver one 5, the data comparison module 601 in the big data analysis unit 6 compares the data, the information screening module 602 in the big data analysis unit 6 screens the data into the effective information 8 and the ineffective information 9, thereby facilitating the enterprise to use the effective information 8, improving the work efficiency, the ineffective information 9 can be read through the network, facilitating the use, the effective information 8 can be directly sent to the enterprise information base 2 through the network transceiver two 10, thereby facilitating the use of enterprise personnel.
Claims (4)
1. An intelligent enterprise information processing method based on big data is characterized by comprising the following steps:
s1, a big data-based intelligent enterprise information processing system is established, the system comprises a central processing unit (1), an enterprise information base (2), a local area network transceiver (3), a classification processing module (4), a network transceiver I (5), a big data analysis unit (6), a database (7), valid information (8), invalid information (9), a network transceiver II (10) and an information recovery base (11), wherein the input end of the central processing unit (1) is connected with the output end of the enterprise information base (2) through signals, the output end of the central processing unit (1) is connected with the input end of the local area network transceiver (3) through signals, the output end of the local area network transceiver (3) is connected with the input end of the classification processing module (4) through signals, the output end of the classification processing module (4) is connected with the input end of the network transceiver I (5) through signals, the output end of the first network transceiver (5) is in signal connection with the input end of a big data analysis unit (6), the input end of the big data analysis unit (6) is in signal connection with the output end of a database (7), the output end of the big data analysis unit (6) is in signal connection with effective information (8), the output end of the big data analysis unit (6) is in signal connection with an invalid signal (9), the output end of the effective information (8) is in signal connection with the input end of a second network transceiver (10), the output end of the second network transceiver (10) is in signal connection with the input end of an enterprise information base (2), and the output end of the invalid information (9) is in signal connection with the input end of an information recycling base (11);
s2, the central processing unit (1) starts the information in the enterprise information base (2) to the classification processing module (4) through the local area network transceiver (3);
s3, the classification processing module (4) classifies the information in the enterprise information base (2), and then the data after classification processing is sent to the big data analysis unit (6) through the network transceiver I (5);
s4, the big data analysis unit (6) processes the data according to the data in the database (7) and divides the information into valid information (8) and invalid information (9);
s5, the valid information (8) is sent to the enterprise information base (2) through the second network transceiver (10), and the invalid information (9) is sent to the information recycling base (11).
2. The intelligent enterprise information processing method based on big data as claimed in claim 1, wherein: the big data analysis unit (6) internally comprises a data comparison module (601) and an information screening module (602).
3. The intelligent enterprise information processing method based on big data as claimed in claim 1, wherein: the model of the network transceiver I (5) and the model of the network transceiver II (10) are TP-LINK TL-FC111A + FC 114B.
4. The intelligent enterprise information processing method based on big data as claimed in claim 1, wherein: the information in the information recycling library (11) can be read through a network.
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