CN115357551A - Big data-based data management system for enterprise management consultation - Google Patents
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Abstract
The invention discloses a big data-based data management system for enterprise management consultation, which belongs to the field of enterprise management consultation and is used for solving the problems that enterprise files have potential safety hazards during enterprise management consultation and a large number of enterprise files enable an enterprise management consultation platform to bear large data load.
Description
Technical Field
The invention belongs to the field of enterprise management consultation, relates to a data management technology, and particularly relates to a data management system for enterprise management consultation based on big data.
Background
Enterprise management consultation, also called enterprise diagnosis, is usually a service activity that enterprise management experts apply scientific methods to find out problems in enterprise management, propose specific improvement schemes, guide implementation and help enterprises improve operation and management on the basis of investigation and analysis. The method is characterized in that: serviceability, instructive, scientific, practical, and difficult. Management and consultation are investment behaviors for enterprises. The enterprise management level is improved by managing the services provided by the consulting company, so that the enterprise operation benefit is improved.
Enterprise files come and go during enterprise management consultation, and enterprise files with unknown sources may harm the whole enterprise management consultation platform due to the fact that the enterprise clients serve a lot of enterprise files, and meanwhile, due to the continuous accumulation of enterprise files, the enterprise management consultation platform bears huge data load, and therefore, a data management system for enterprise management consultation based on big data is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a data management system for enterprise management consultation based on big data.
The technical problem to be solved by the invention is as follows: how to carry out security analysis on the enterprise files and realize intelligent management on the enterprise files in the enterprise management consultation platform.
The purpose of the invention can be realized by the following technical scheme:
a big data-based data management system for enterprise management consultation comprises a data acquisition module, a data classification module, a security analysis module, a user terminal, an intelligent management module, a distributed storage module and a server, wherein the user terminal is used for uploading enterprise files and sending the enterprise files to the security analysis module; the data classification module is used for performing data classification on the enterprise files to obtain classified picture enterprise files, audio and video enterprise files or document enterprise files and feeding the classified picture enterprise files, audio and video enterprise files or document enterprise files back to the server, the server sends the classified picture enterprise files, audio and video enterprise files or document enterprise files to the distributed storage module, and the distributed storage module is used for performing distributed storage on the classified enterprise files;
the data acquisition module is used for acquiring the use data of the enterprise files and sending the use data to the server, and the server sends the use data to the intelligent management module; the intelligent management module is used for intelligently managing the enterprise files in the storage space.
Further, the virtual space comprises a virtual server, and a virus detection tool, a virus killing tool and a sector detection tool in the virtual server;
the file data is the file number of the enterprise file, the memory value and the file type of each file;
the file types comprise picture files, audio-video files and document files;
the usage data is the number of times the enterprise file is used and the usage time for each use.
Further, the security analysis process of the security analysis module specifically includes:
acquiring initial sector data of a disk in a virtual server through a sector detection tool;
importing the uploaded enterprise file into any disk of a virtual server in a virtual space;
carrying out security detection operation on the enterprise file in the virtual server;
acquiring real-time sector data of a disk used for storing enterprise files in a virtual server through a sector detection tool;
comparing the initial sector data with the real-time sector data;
if the real-time sector data is not changed, the enterprise file security analysis is passed;
if the real-time sector data changes, virus detection is carried out on the enterprise file by using a virus detection tool, when viruses exist, the viruses in the enterprise file are detected and killed by using a virus killing tool, and the security analysis of the enterprise file after the viruses are detected and killed is passed.
Further, the working process of the data classification module is specifically as follows:
acquiring the total number of files in the enterprise files and the file type of each file;
counting the number of picture files of the picture files, the number of sound and video files of the sound and video files and the number of document files of the document files in the enterprise files;
the number of the picture files, the number of the audio and video files and the number of the document files are compared with the total number of the files in sequence to obtain the picture file ratio, the audio and video file ratio and the document file ratio in the enterprise files;
traversing and comparing the picture file ratio, the audio-video file ratio and the document file ratio;
if the picture file proportion is the maximum value, classifying the enterprise file into a picture enterprise file;
if the ratio of the audio-video files is the maximum value, classifying the enterprise files into audio-video enterprise files;
and if the document file percentage is the maximum value, classifying the enterprise file into a document enterprise file.
Further, the distributed storage process of the distributed storage module specifically includes:
respectively distributing corresponding storage areas for the picture enterprise files, the sound and video enterprise files or the document enterprise files; the storage area comprises an image storage area, a sound and image storage area and a document storage area;
the picture enterprise files are distributed to the picture storage area, the sound and video enterprise files are distributed to the sound and video storage area, and the document enterprise files are distributed to the document storage area;
acquiring the memory value of each file in the picture enterprise files, summing the memory values of the files to obtain the total memory value of the picture enterprise files, and similarly, obtaining the total memory value of the sound and video enterprise files and the total memory value of the document enterprise files;
if the total memory value of the picture enterprise file is greater than or equal to the first picture memory threshold value, the picture enterprise file is stored into a first picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the first picture memory threshold value and greater than or equal to a second picture memory threshold value, the picture enterprise file is stored into a second picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the second picture memory threshold value, the picture enterprise file is stored into a third picture storage space under the picture storage area, and similarly, the sound and image enterprise file is allocated to a corresponding storage space under the sound and image storage area, and the document enterprise file is allocated to a storage space under the document storage area; the first picture memory threshold value and the second picture memory threshold value are positive integers with fixed numerical values, and the value of the first picture memory threshold value is larger than that of the second picture memory threshold value.
Furthermore, a first picture storage space, a second picture storage space and a third picture storage space are arranged below the picture storage area, a first audio-video storage space, a second audio-video storage space and a third audio-video storage space are arranged below the audio-video storage area, and a first document storage space, a second document storage space and a third document storage space are arranged below the document storage area.
Furthermore, the memory space of the first picture storage space is larger than that of the second picture storage space, and the memory space of the second picture storage space is larger than that of the third picture storage space;
the memory space of the first audio-video storage space is larger than that of the second audio-video storage space, and the memory space of the second audio-video storage space is larger than that of the third audio-video storage space;
the memory space of the first document storage space is larger than that of the second document storage space, and the memory space of the second document storage space is larger than that of the third document storage space.
Further, the intelligent management process of the intelligent management module is specifically as follows:
acquiring the use times of the enterprise files and the use time of each use of the enterprise files, calculating the interval duration of adjacent use times to obtain a plurality of groups of use interval durations, and adding and averaging the plurality of groups of use interval durations to obtain the average use interval duration of the enterprise files;
obtaining the last use time of the enterprise file according to the use time of each use, and obtaining the last use interval duration of the enterprise file by subtracting the last use time from the current time of the server;
and calculating the active value of the enterprise file, and calibrating the enterprise file as a cold enterprise file or a normal enterprise file by comparing the active value of the enterprise file with the active threshold value.
Furthermore, if the enterprise file is a normal enterprise file, the intelligent management module does not perform any operation;
if the enterprise files are cold enterprise files, the intelligent management module transfers the cold enterprise files to the storage module and sets storage duration, and if the cold enterprise files are not used in the storage duration, the cold enterprise files are transferred to additional storage equipment.
Compared with the prior art, the invention has the beneficial effects that:
according to the enterprise file security management system, the security analysis module is used for carrying out security analysis on the uploaded enterprise files, an enterprise which passes the security analysis firstly carries out data classification on the enterprise files by using the data classification module, the classified enterprise files are distributed and stored by the distribution storage module after the classification is finished, meanwhile, the enterprise files in the storage space can be intelligently managed by the intelligent management module, the enterprise files are subjected to security analysis, and intelligent management on the enterprise files in the enterprise management consultation platform is realized.
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To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In an embodiment, please refer to fig. 1, a data management system for enterprise management consultation based on big data includes a data acquisition module, a data classification module, a security analysis module, a user terminal, an intelligent management module, a distributed storage module and a server;
before specific implementation, the user terminal is used for inputting personal information by a user to register and log in the system and sending the personal information to the server for storage; the personal information comprises the real name of a user, the mobile phone number of real-name authentication and the like;
in the embodiment of the present invention, the user terminal is configured to upload an enterprise file, and send the enterprise file to the security analysis module, the security analysis module is further connected to a virtual space, the virtual space includes a virtual server, and a virus detection tool, a virus killing tool, and a sector detection tool in the virtual server, the security analysis module is configured to perform security analysis on the uploaded enterprise file, and the security analysis process specifically includes:
step S1: acquiring initial sector data of a disk in a virtual server through a sector detection tool;
step S2: importing the uploaded enterprise file into any disk of a virtual server in a virtual space;
and step S3: carrying out security detection operation on the enterprise file in the virtual server; the security detection operation comprises the actions of opening, copying, storing and the like of enterprise files;
and step S4: acquiring real-time sector data of a disk for storing enterprise files in a virtual server through a sector detection tool;
step S5: comparing the initial sector data with the real-time sector data;
if the real-time sector data is not changed, the enterprise file security analysis is passed;
if the real-time sector data changes, virus detection is carried out on the enterprise files by using a virus detection tool, when viruses exist, viruses existing in the enterprise files are detected and killed by using a virus searching and killing tool, and the security analysis of the enterprise files after the viruses are detected and killed is passed;
the security analysis module uploads the enterprise files passing the security analysis to the server, the data acquisition module is used for acquiring file data of the enterprise files in the server and sending the file data to the server, and the server sends the file data to the data classification module and the distributed storage module;
specifically, the file data includes the number of files of the enterprise file, the memory value of each file, the file type, and the like; the file types comprise picture files, audio-video files and document files;
the data classification module is used for carrying out data classification on the enterprise files, and the working process specifically comprises the following steps:
step S100: acquiring the total number of files in the enterprise files and the file type of each file;
step S200: counting the number of picture files, the number of audio-video files and the number of document files in enterprise files;
step S300: comparing the number of the picture files, the number of the audio and video files and the number of the document files in sequence to obtain the picture file ratio, the audio and video file ratio and the document file ratio in the enterprise files;
step S400: traversing and comparing the picture file ratio, the audio-video file ratio and the document file ratio;
if the picture file proportion is the maximum value, classifying the enterprise file into a picture enterprise file;
if the ratio of the audio-video files is the maximum value, classifying the enterprise files into audio-video enterprise files;
if the document file proportion is the maximum value, classifying the enterprise files into document enterprise files;
the data classification module feeds back the classified picture enterprise files, audio and video enterprise files or document enterprise files to the server, the server sends the classified picture enterprise files, audio and video enterprise files or document enterprise files to the distribution storage module, the distribution storage module is used for carrying out distribution storage on the classified enterprise files, and the distribution storage process is as follows:
step SS1: respectively distributing corresponding storage areas for the picture enterprise files, the sound and video enterprise files or the document enterprise files; the storage area comprises an image storage area, a sound and video storage area and a document storage area;
step SS2: the picture enterprise files are distributed to the picture storage area, the sound and video enterprise files are distributed to the sound and video storage area, and the document enterprise files are distributed to the document storage area;
step SS3: acquiring the memory value of each file in the picture enterprise files, summing the memory values of the files to obtain the total memory value of the picture enterprise files, and similarly, obtaining the total memory value of the sound and video enterprise files and the total memory value of the document enterprise files;
a first picture storage space, a second picture storage space and a third picture storage space are arranged below the picture storage area, a first audio-video storage space, a second audio-video storage space and a third audio-video storage space are arranged below the audio-video storage area, and a first document storage space, a second document storage space and a third document storage space are arranged below the document storage area;
the memory space of the first picture storage space is larger than that of the second picture storage space, and the memory space of the second picture storage space is larger than that of the third picture storage space; the memory space of the first audio-video storage space is larger than that of the second audio-video storage space, and the memory space of the second audio-video storage space is larger than that of the third audio-video storage space; the memory space of the first document storage space is larger than that of the second document storage space, and the memory space of the second document storage space is larger than that of the third document storage space;
and step SS4: if the total memory value of the picture enterprise file is greater than or equal to the first picture memory threshold value, the picture enterprise file is stored into a first picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the first picture memory threshold value and greater than or equal to a second picture memory threshold value, the picture enterprise file is stored into a second picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the second picture memory threshold value, the picture enterprise file is stored into a third picture storage space under the picture storage area, and similarly, the sound and image enterprise file is allocated to a corresponding storage space under the sound and image storage area, and the document enterprise file is allocated to a storage space under the document storage area; the first picture memory threshold value and the second picture memory threshold value are positive integers with fixed numerical values, and the value of the first picture memory threshold value is larger than that of the second picture memory threshold value;
in the embodiment of the invention, the data acquisition module is used for acquiring the use data of the enterprise file and sending the use data to the server, and the server sends the use data to the intelligent management module;
specifically, the usage data is the number of times the enterprise file is used and the usage time of each usage;
the intelligent management module is used for intelligently managing the enterprise files in the storage space, and the intelligent management process specifically comprises the following steps:
step SS10: acquiring the use times of the enterprise files, and marking the use times as SCu, u =1,2, \8230;, z and z are positive integers, and u represents the number of the enterprise files;
step SS20: acquiring the use time of each use of the enterprise file, calculating the interval duration of adjacent use times to obtain a plurality of groups of use interval durations, and adding and averaging the plurality of groups of use interval durations to obtain the average use interval duration JTu of the enterprise file;
step SS30: obtaining the last use time of the enterprise file according to the use time of each use, and obtaining the last use interval duration ZJTu of the enterprise file by subtracting the last use time from the current time of the server;
step SS40: calculating an active value HYu of the enterprise file by a formula HYu = SCu/(JTu × a1+ ZJTu × a 2); in the formula, a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step SS50: if the activity value of the enterprise file is smaller than the activity threshold value, the enterprise file is calibrated to be a cold enterprise file;
step SS60: if the activity value of the enterprise file is greater than or equal to the activity threshold value, the enterprise file is calibrated to be a normal enterprise file;
if the enterprise file is a normal enterprise file, the intelligent management module does not perform any operation;
if the enterprise files are cold enterprise files, the intelligent management module transfers the cold enterprise files to the storage module and sets storage duration, and if the cold enterprise files are not used in the storage duration, the cold enterprise files are transferred to additional storage equipment.
In another embodiment, a working method of a data management system for enterprise management consultation based on big data is provided, which specifically includes:
step S101, a user terminal uploads an enterprise file and sends the enterprise file to a security analysis module, the security analysis module conducts security analysis on the uploaded enterprise file, initial sector data of a magnetic disk in a virtual server is obtained through a sector detection tool, the uploaded enterprise file is guided into any magnetic disk of the virtual server in a virtual space, security detection operation is conducted on the enterprise file in the virtual server, real-time sector data of the magnetic disk used for storing the enterprise file in the virtual server is obtained through the sector detection tool, the initial sector data and the real-time sector data are compared, if the real-time sector data do not change, security analysis of the enterprise file is passed, if the real-time sector data change, virus detection is conducted on the enterprise file through the virus detection tool, when viruses exist, virus searching and killing are conducted on the viruses existing in the enterprise file through the virus searching and killing tool, security analysis of the enterprise file is passed after searching and killing, and the security analysis module uploads the enterprise file which passes the security analysis to the server;
step S102, a data acquisition module acquires file data of enterprise files in a server and sends the file data to the server, the server sends the file data to a data classification module and a distribution storage module, the enterprise files are subjected to data classification through the data classification module, the total number of the files in the enterprise files and the file type of each file are obtained, the number of picture files of the picture files, the number of sound and image files of the sound and image files and the number of file files of the file files in the enterprise files are counted, the total number of the files are sequentially compared through the number of the picture files, the number of sound and image files and the number of file files, the picture file ratio, the sound and image file ratio and the file ratio in the enterprise files are obtained, the picture file ratio, the sound and image file ratio and the file ratio are subjected to traversal comparison, if the picture file ratio is the maximum value, the enterprise files are classified into the picture enterprise files, if the sound and image file ratio is the maximum value, the enterprise files are classified into the enterprise files, if the enterprise file ratio is the enterprise files, the enterprise files are classified into the enterprise files or the enterprise files are fed back to the server, and the distribution storage module classifies the enterprise files or the enterprise files;
step S103, using a distributed storage module to perform distributed storage on the classified enterprise files, respectively allocating corresponding storage areas for the picture enterprise files, the sound and image enterprise files or the document enterprise files, allocating the picture enterprise files to the picture storage areas, allocating the sound and image enterprise files to the sound and image storage areas, allocating the document enterprise files to the document storage areas, then obtaining the memory value of each file in the picture enterprise files, summing the memory values of each file to obtain the total memory value of the picture enterprise files, and similarly, obtaining the total memory value of the sound and image enterprise files and the total memory value of the document enterprise files, if the total memory value of the picture enterprise files is greater than or equal to a first picture memory threshold value, storing the picture enterprise files to a first picture storage space under the picture storage area, if the total memory value of the picture enterprise files is less than the first picture memory threshold value and greater than or equal to a second picture memory threshold value, storing the picture enterprise files to a third picture storage space under the picture storage area, and allocating the sound and image storage spaces to the document storage areas under the picture storage areas;
step S104, in addition, the data acquisition module also acquires the use data of the enterprise file and sends the use data to the server, the server sends the use data to the intelligent management module, the enterprise file in the storage space is intelligently managed through the intelligent management module, the use times SCu of the enterprise file are acquired, the use time of each use of the enterprise file is acquired, the interval duration of adjacent use times is calculated to obtain a plurality of groups of use interval durations, the average use interval duration JTu of the enterprise file is obtained by adding and averaging the use intervals of the groups of use intervals, the last use time of the enterprise file is obtained according to the use time of each use, the last use interval duration ZJTu of the enterprise file is obtained by subtracting the last use time from the current time of the server, the active value HYu of the enterprise file is calculated through a formula HYu = SCu/(JTuxa 1+ ZJTuxa 2), if the active value of the enterprise file is smaller than the active time, the enterprise file is calibrated as a normal value, if the active value of the enterprise file is smaller than the active threshold value, the enterprise file is calibrated as a normal enterprise file, if the enterprise file is stored in the cold door, the enterprise file is calibrated to be stored in a cold door, and the cold door, if the enterprise file is not stored in the cold door, the enterprise file, the intelligent management module, and the enterprise file is calibrated to the cold door.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the subsequent comparison is convenient.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A big data-based data management system for enterprise management consultation is characterized by comprising a data acquisition module, a data classification module, a security analysis module, a user terminal, an intelligent management module, a distributed storage module and a server, wherein the user terminal is used for uploading enterprise files and sending the enterprise files to the security analysis module; the data classification module is used for performing data classification on the enterprise files to obtain classified picture enterprise files, audio and video enterprise files or document enterprise files and feeding the classified picture enterprise files, audio and video enterprise files or document enterprise files back to the server, the server sends the classified picture enterprise files, audio and video enterprise files or document enterprise files to the distributed storage module, and the distributed storage module is used for performing distributed storage on the classified enterprise files;
the data acquisition module is used for acquiring the use data of the enterprise files and sending the use data to the server, and the server sends the use data to the intelligent management module; the intelligent management module is used for intelligently managing the enterprise files in the storage space.
2. The data management system for enterprise management consultation based on big data as claimed in claim 1, wherein the virtual space comprises a virtual server, and a virus detection tool, a virus killing tool and a sector detection tool in the virtual server;
the file data is the file number of the enterprise file, the memory value and the file type of each file;
the file types comprise picture files, audio-video files and document files;
the usage data is the number of times the enterprise file is used and the usage time per use.
3. The data management system for enterprise management consultation based on big data as claimed in claim 1, wherein the security analysis process of the security analysis module is as follows:
acquiring initial sector data of a disk in a virtual server through a sector detection tool;
importing the uploaded enterprise file into any disk of a virtual server in a virtual space;
carrying out security detection operation on the enterprise file in the virtual server;
acquiring real-time sector data of a disk used for storing enterprise files in a virtual server through a sector detection tool;
comparing the initial sector data with the real-time sector data;
if the real-time sector data is not changed, the enterprise file security analysis is passed;
if the real-time sector data changes, virus detection is carried out on the enterprise files by using a virus detection tool, when viruses exist, the viruses existing in the enterprise files are searched and killed by using a virus searching and killing tool, and the security analysis of the enterprise files after searching and killing is passed.
4. The data management system for enterprise management consultation based on big data as claimed in claim 1, wherein the data classification module specifically works as follows:
acquiring the total number of files in the enterprise files and the file type of each file;
counting the number of picture files of the picture files, the number of sound and video files of the sound and video files and the number of document files of the document files in the enterprise files;
comparing the number of the picture files, the number of the audio and video files and the number of the document files in sequence to obtain the picture file ratio, the audio and video file ratio and the document file ratio in the enterprise files;
traversing and comparing the picture file ratio, the sound and image file ratio and the document file ratio;
if the picture file proportion is the maximum value, classifying the enterprise file into a picture enterprise file;
if the ratio of the audio-video files is the maximum value, classifying the enterprise files into audio-video enterprise files;
if the document file percentage is the maximum value, the enterprise file is classified as a document enterprise file.
5. The data management system for enterprise management consultation based on big data as claimed in claim 1, wherein the distributed storage process of the distributed storage module is as follows:
respectively distributing corresponding storage areas for the picture enterprise files, the sound and video enterprise files or the document enterprise files; the storage area comprises an image storage area, a sound and video storage area and a document storage area;
the picture enterprise files are distributed to the picture storage area, the sound and video enterprise files are distributed to the sound and video storage area, and the document enterprise files are distributed to the document storage area;
acquiring the memory value of each file in the picture enterprise files, summing the memory values of the files to obtain the total memory value of the picture enterprise files, and similarly, obtaining the total memory value of the sound and video enterprise files and the total memory value of the document enterprise files;
if the total memory value of the picture enterprise file is greater than or equal to the first picture memory threshold value, the picture enterprise file is stored in a first picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the first picture memory threshold value and greater than or equal to a second picture memory threshold value, the picture enterprise file is stored in a second picture storage space under the picture storage area, if the total memory value of the picture enterprise file is smaller than the second picture memory threshold value, the picture enterprise file is stored in a third picture storage space under the picture storage area, and similarly, the sound and image enterprise file is allocated to a corresponding storage space under the sound and image storage area, and the document enterprise file is allocated to a storage space under the document storage area; the first picture memory threshold value and the second picture memory threshold value are positive integers with fixed numerical values, and the value of the first picture memory threshold value is larger than that of the second picture memory threshold value.
6. The data management system for enterprise management consultation based on big data as claimed in claim 5, wherein a first picture storage space, a second picture storage space and a third picture storage space are provided under the picture storage region, a first audio-video storage space, a second audio-video storage space and a third audio-video storage space are provided under the audio-video storage region, and a first document storage space, a second document storage space and a third document storage space are provided under the document storage region.
7. The data management system for enterprise management consultation based on big data according to claim 6, wherein the memory space of the first picture storage space is larger than that of the second picture storage space, and the memory space of the second picture storage space is larger than that of the third picture storage space;
the memory space of the first audio-video storage space is larger than that of the second audio-video storage space, and the memory space of the second audio-video storage space is larger than that of the third audio-video storage space;
the memory space of the first document storage space is larger than that of the second document storage space, and the memory space of the second document storage space is larger than that of the third document storage space.
8. The big-data-based data management system for enterprise management consultation according to claim 1, wherein the intelligent management process of the intelligent management module is as follows:
acquiring the use times of the enterprise files and the use time of each use of the enterprise files, calculating the interval duration of adjacent use times to obtain a plurality of groups of use interval durations, and adding and averaging the plurality of groups of use interval durations to obtain the average use interval duration of the enterprise files;
obtaining the last use time of the enterprise file according to the use time of each use, and obtaining the last use interval duration of the enterprise file by subtracting the last use time from the current time of the server;
and calculating the active value of the enterprise file, and comparing the active value of the enterprise file with an active threshold value to calibrate the enterprise file into a cold enterprise file or a normal enterprise file.
9. The data management system for enterprise management consultation based on big data as claimed in claim 8, wherein if the file is a normal enterprise file, the intelligent management module does not perform any operation;
if the enterprise files are cold enterprise files, the intelligent management module transfers the cold enterprise files to the storage module and sets storage duration, and if the cold enterprise files are not used in the storage duration, the cold enterprise files are transferred to additional storage equipment.
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