CN116049797A - Intelligent storage system based on data classification system - Google Patents
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- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
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Abstract
The invention discloses an intelligent storage system based on a data classification system, which comprises a user login module, a login analysis module, a network analysis module, a data importing module, a data analysis module, a data processing module, a master control module, an information sending module, a data storage module and a cloud storage module; the user login module is used for a system manager and a data importing person to log in the information system, and a user needs to input user login information to carry out identity verification when logging in; the login analysis module is used for verifying the login information of the user, allowing the user to conduct data import through the login analysis module, and verifying whether the user is a new user or an old user; the data importing module is used for importing data to be stored by a user, and the data analyzing module is used for processing the imported data to be stored to acquire data analyzing information to be stored. The invention can better ensure the safety of the stored data.
Description
Technical Field
The invention relates to the field of data storage, in particular to an intelligent storage system based on a data classification system.
Background
Data storage refers to temporary files generated during processing of the data stream or information that needs to be found during processing. Data is recorded in a certain format on a storage medium inside or outside a computer. The data store is named, which reflects the constitutive meaning of the information features. The data flow reflects the data flowing in the system and shows the characteristics of dynamic data; the data storage reflects static data in the system and shows the characteristics of the static data;
in the data storage process, the storage system is used for better comprehensive management of data storage.
The existing storage system has poor protection on data, so that the data is easy to lose or leak, the subsequent checking process of the data is complex, the searching speed is low, and certain influence is brought to the use of the storage system.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the existing storage system, the protection of data is poor, so that the data is easy to lose or leak, meanwhile, the subsequent checking process of the data is tedious, the searching speed is slow, and the problem that a certain influence is brought to the use of the storage system is solved.
The invention solves the technical problems through the following technical scheme that the system comprises a user login module, a login analysis module, a network analysis module, a data importing module, a data analysis module, a data processing module, a master control module, an information sending module, a data storage module and a cloud storage module;
the user login module is used for a system manager and a data importing person to log in the information system, and a user needs to input user login information to carry out identity verification when logging in;
the login analysis module is used for verifying the login information of the user, allowing the user to conduct data import through the login analysis module, and verifying whether the user is a new user or an old user;
the data importing module is used for importing data to be stored by a user, and the data analyzing module is used for processing the imported data to be stored to acquire analysis information of the data to be stored;
the network analysis module is used for analyzing the network information of the data uploaded by the user to obtain network analysis information;
the data processing module is used for processing the data information to be stored and the network analysis information to generate data storage classification information and network abnormality information;
the master control module is used for transmitting the data storage classification information to the data storage module through the information transmitting module after the data storage classification information is generated;
the data storage module classifies the data to be stored according to the content of the data storage classification information, and the data to be stored is stored in the data storage module;
the master control module is also used for controlling the information sending module to send the network abnormal information to the preset receiving terminal.
The login analysis module is further characterized in that the specific process of verifying the login information of the user is as follows:
step one: extracting user login information imported by a user, wherein the user login information comprises account password information and other login characteristic information;
step two: scanning and identifying a real-time account number of a user, extracting corresponding password information when the account number is scanned from a login database, comparing the real-time password information with the corresponding password information, and verifying other login characteristics after the comparison;
step three: the other login features comprise fingerprint features and human face features, wherein the human face features are images of the rotating face of the login user, the other feature verification is random verification, and any one verification mode of the fingerprint features and the human face features is selected randomly for verification;
step four: when the fingerprint features are carried out, a login user presses the fingerprint acquisition equipment by using the corresponding finger, the fingerprint acquisition equipment acquires the fingerprint information of the user, and the user fingerprint information passes verification, namely, the login is allowed;
step five: when the face feature verification is carried out, the collected real-time face feature and the preset face feature information are extracted, and when the real-time face feature and the preset face feature information are verified, the login is allowed when the verification is passed.
Further, the verification process of the user fingerprint information is as follows: the fingerprint acquisition equipment acquires user fingerprint information including real-time fingerprint information and pressing force information, when the real-time fingerprint information passes through verification, and pressing force information passes through verification, the user fingerprint information passes through verification, login is allowed, and when any one of the real-time fingerprint information and pressing force information fails to pass through verification, the user fingerprint information fails to pass through verification, and login is not allowed.
The method is further characterized in that the verification process between the real-time face features and the preset face feature information is as follows: the method comprises the steps of extracting face features, acquiring images of a rotating face of a login user from the face features, acquiring real-time face recognition parameters and real-time rotating angle information, comparing the real-time face recognition parameters with preset face recognition parameters to acquire face parameter comparison results, comparing the real-time rotating angle information with the preset rotating angle information to acquire rotating angle comparison results, allowing the login when the face parameter comparison results and the rotating angle comparison results are all the comparison results, and not allowing the login when any one of the face parameter comparison results and the rotating angle comparison results is the comparison result.
Further, the process of verifying whether the user is a new user or an old user is as follows: after the user logs in, the data stored by the user is retrieved from the data storage module, and when the user is found to store the data in the past, the user is classified as an old user.
Further characterized in that the data storage classification information comprises first classification information and second classification information;
the specific processing procedure of the data storage classification information is as follows:
s1: when the user is a new user, after the user login is completed, an initial storage folder is established for the user;
s2: then extracting imported data information to be stored of a user, and scanning the data information to be stored to obtain data type information to be stored, wherein the data type information to be stored comprises view types, text types and comprehensive types;
s3: after the data type information to be stored is acquired, generating first classification information, and establishing a secondary folder in the initial storage folder: the second-level folder comprises a view class folder, a text class folder and a comprehensive class folder;
s4: then processing the data to be stored to obtain size information of the data to be stored, generating second classification information at the moment, building a size classification folder in the second-level folder after the second classification information is generated, wherein the size classification folder comprises a small folder, a middle folder and a large folder, when the size information of the data to be stored is larger than a preset value a1, the size information is stored in the large folder, when the size information of the data to be stored is between the preset value a1 and a preset value a2, the size information is stored in the middle folder, and when the size information of the data to be stored is smaller than the preset value a2, the size information is stored in the small folder;
s4: when the user is an old user, the data to be stored is directly scanned and stored in the corresponding folder, and when the data to be stored is stored in any folder, the prefix of the data to be stored is marked with a time tag.
Further, the processing procedure of the network anomaly information is as follows: extracting network information when a user imports data to be stored, acquiring network speed information and network fluctuation amplitude information from the network information, and generating network abnormal information when the network speed information is smaller than a preset value or the network fluctuation amplitude information is larger than the preset amplitude.
The intelligent storage information further comprises a cloud storage module, wherein the cloud storage module is used for automatically backing up the data stored in the data storage module according to the backup rule;
the specific content of the automatic backup rule is as follows: when the data size change in the data storage module exceeds a preset value, generating automatic backup information, and backing up the data stored in the data storage module, wherein the data size change in the data storage module does not exceed the preset value, namely generating the automatic backup information once every preset time;
and only the data updated for the last three times is reserved in the cloud storage module, namely, each backup is performed once, namely, the backup file with the longest distance from the current time is deleted.
Compared with the prior art, the invention has the following advantages: according to the intelligent storage system based on the data classification system, the user is subjected to refined identity verification when the user imports data, the data storage safety of the data storage module can be effectively protected, the situation that illegal personnel maliciously imports virus data to steal the data stored in the data storage module is effectively avoided, the data safety is better ensured, meanwhile, the user can browse the stored data conveniently through the intelligent classified storage setting of the user data, the data searching speed is increased, different use requirements of the user are met, and the cloud intelligent storage data backup is performed through the set data storage, so that the situation that the data cannot be extracted is sent when the hardware of the stored data is damaged, the data storage system can be better ensured, and the system is more worth popularizing and using.
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Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent storage system based on a data classification system comprises a user login module, a login analysis module, a network analysis module, a data import module, a data analysis module, a data processing module, a master control module, an information sending module, a data storage module and a cloud storage module;
the user login module is used for a system manager and a data importing person to log in the information system, and a user needs to input user login information to carry out identity verification when logging in;
the login analysis module is used for verifying the login information of the user, allowing the user to conduct data import through the login analysis module, and verifying whether the user is a new user or an old user;
the data importing module is used for importing data to be stored by a user, and the data analyzing module is used for processing the imported data to be stored to acquire analysis information of the data to be stored;
the network analysis module is used for analyzing the network information of the data uploaded by the user to obtain network analysis information;
the data processing module is used for processing the data information to be stored and the network analysis information to generate data storage classification information and network abnormality information;
the master control module is used for transmitting the data storage classification information to the data storage module through the information transmitting module after the data storage classification information is generated;
the data storage module classifies the data to be stored according to the content of the data storage classification information, and the data to be stored is stored in the data storage module;
the master control module is also used for controlling the information sending module to send the network abnormal information to a preset receiving terminal;
according to the invention, the user is subjected to refined identity verification when the user imports data, so that the data storage safety of the data storage module can be effectively protected, the situation that illegal personnel imports virus data maliciously to steal the data stored in the data storage module is effectively avoided, the data safety is better ensured, meanwhile, the user can conveniently search the stored data while browsing the stored data through the intelligent classified storage setting of the user data, the data searching speed is accelerated, different use requirements of the user are met, and the intelligent storage data backup is performed through the set data storage cloud, so that the situation that the data cannot be extracted when the hardware of the stored data is damaged is effectively ensured to be transmitted, the data storage system can better ensure the data safety, and the system is more worthy of popularization and use.
The specific process of verifying the user login information by the login analysis module is as follows:
step one: extracting user login information imported by a user, wherein the user login information comprises account password information and other login characteristic information;
step two: scanning and identifying a real-time account number of a user, extracting corresponding password information when the account number is scanned from a login database, comparing the real-time password information with the corresponding password information, and verifying other login characteristics after the comparison;
step three: the other login features comprise fingerprint features and human face features, wherein the human face features are images of the rotating face of the login user, the other feature verification is random verification, and any one verification mode of the fingerprint features and the human face features is selected randomly for verification;
step four: when the fingerprint features are carried out, a login user presses the fingerprint acquisition equipment by using the corresponding finger, the fingerprint acquisition equipment acquires the fingerprint information of the user, and the user fingerprint information passes verification, namely, the login is allowed;
step five: when the face feature verification is carried out, extracting the collected real-time face feature and preset face feature information, and allowing login when the real-time face feature and the preset face feature information pass verification, namely, the verification passes;
through the process, the verification rule of the user login is set, the authenticity of the identity of the user who logs in to conduct system import data can be ensured, and the situation that the data storage module data is leaked due to the fact that the user cannot import virus data is effectively reduced.
The verification process of the user fingerprint information is as follows: the fingerprint acquisition equipment acquires that the user fingerprint information comprises real-time fingerprint information and pressing force information, when the real-time fingerprint information passes verification, and the pressing force information passes verification, the user passes verification, namely the user passes verification, login is allowed, and when any one of the real-time fingerprint information and the pressing force information fails verification, namely the user fingerprint verification information fails to verify, login is not allowed;
through the process, more accurate fingerprint verification can be performed, the condition that fingerprint production fingerprint sleeves are stolen for verification is effectively avoided, and user data safety is guaranteed.
The verification process between the real-time face features and the preset face feature information is as follows: extracting face features, acquiring images of the rotating face of a login user from the face features, acquiring real-time face recognition parameters and real-time rotation angle information, comparing the real-time face recognition parameters with preset face recognition parameters to acquire face parameter comparison results, comparing the real-time rotation angle information with the preset rotation angle information to acquire rotation angle comparison results, allowing the login when the face parameter comparison results and the rotation angle comparison results are both the comparison results, and allowing the login when any one of the face parameter comparison results and the rotation angle comparison results is the comparison result and is not the comparison result;
through the process, more accurate face verification can be performed, the situation that face recognition is performed by using video photos and the like is effectively prevented, and user data safety is better protected.
The process of verifying whether the user is a new user or an old user is as follows: after the user logs in, the data stored by the user is retrieved from the data storage module, and when the user is found to store the data in the past, the user is classified as an old user.
The data storage classification information comprises first classification information and second classification information;
the specific processing procedure of the data storage classification information is as follows:
s1: when the user is a new user, after the user login is completed, an initial storage folder is established for the user;
s2: then extracting imported data information to be stored of a user, and scanning the data information to be stored to obtain data type information to be stored, wherein the data type information to be stored comprises view types, text types and comprehensive types;
s3: after the data type information to be stored is acquired, generating first classification information, and establishing a secondary folder in the initial storage folder: the second-level folder comprises a view class folder, a text class folder and a comprehensive class folder;
s4: then processing the data to be stored to obtain size information of the data to be stored, generating second classification information at the moment, building a size classification folder in the second-level folder after the second classification information is generated, wherein the size classification folder comprises a small folder, a middle folder and a large folder, when the size information of the data to be stored is larger than a preset value a1, the size information is stored in the large folder, when the size information of the data to be stored is between the preset value a1 and a preset value a2, the size information is stored in the middle folder, and when the size information of the data to be stored is smaller than the preset value a2, the size information is stored in the small folder;
s4: when the user is an old user, the data to be stored is directly scanned and stored in the corresponding folder, and when the data to be stored is stored in any folder, the prefix of the data to be stored is marked with a time tag;
through the process, the classified storage of the user-imported data is performed more intelligently, so that the user can browse the data conveniently and search the data conveniently.
The processing process of the network anomaly information is as follows: extracting network information when a user imports data to be stored, acquiring network speed information and network fluctuation amplitude information from the network information, and generating network abnormal information when the network speed information is smaller than a preset value or the network fluctuation amplitude information is larger than a preset amplitude;
through the process, network abnormality information can be timely generated to warn, and the occurrence of data transmission errors and other conditions caused by network abnormality is reduced.
The intelligent storage information further comprises a cloud storage module, wherein the cloud storage module is used for automatically backing up the data stored in the data storage module according to the backup rules;
the specific content of the automatic backup rule is as follows: when the data size change in the data storage module exceeds a preset value, generating automatic backup information, and backing up the data stored in the data storage module, wherein the data size change in the data storage module does not exceed the preset value, namely generating the automatic backup information once every preset time;
only the data updated for the last three times are reserved in the cloud storage module, namely, each backup is performed once, namely, the backup file with the longest distance to the current time is deleted;
through the process, an intelligent data backup rule is set, and the safety of data imported by a user is better ensured.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (8)
1. The intelligent storage system based on the data classification system is characterized by comprising a user login module, a login analysis module, a network analysis module, a data importing module, a data analysis module, a data processing module, a master control module, an information sending module, a data storage module and a cloud storage module;
the user login module is used for a system manager and a data importing person to log in the information system, and a user needs to input user login information to carry out identity verification when logging in;
the login analysis module is used for verifying the login information of the user, allowing the user to conduct data import through the login analysis module, and verifying whether the user is a new user or an old user;
the data importing module is used for importing data to be stored by a user, and the data analyzing module is used for processing the imported data to be stored to acquire analysis information of the data to be stored;
the network analysis module is used for analyzing the network information of the data uploaded by the user to obtain network analysis information;
the data processing module is used for processing the data information to be stored and the network analysis information to generate data storage classification information and network abnormality information;
the master control module is used for transmitting the data storage classification information to the data storage module through the information transmitting module after the data storage classification information is generated;
the data storage module classifies the data to be stored according to the content of the data storage classification information, and the data to be stored is stored in the data storage module;
the master control module is also used for controlling the information sending module to send the network abnormal information to the preset receiving terminal.
2. The intelligent storage system based on a data classification system of claim 1, wherein: the specific process of verifying the user login information by the login analysis module is as follows:
step one: extracting user login information imported by a user, wherein the user login information comprises account password information and other login characteristic information;
step two: scanning and identifying a real-time account number of a user, extracting corresponding password information when the account number is scanned from a login database, comparing the real-time password information with the corresponding password information, and verifying other login characteristics after the comparison;
step three: the other login features comprise fingerprint features and human face features, wherein the human face features are images of the rotating face of the login user, the other feature verification is random verification, and any one verification mode of the fingerprint features and the human face features is selected randomly for verification;
step four: when the fingerprint features are carried out, a login user presses the fingerprint acquisition equipment by using the corresponding finger, the fingerprint acquisition equipment acquires the fingerprint information of the user, and the user fingerprint information passes verification, namely, the login is allowed;
step five: when the face feature verification is carried out, the collected real-time face feature and the preset face feature information are extracted, and when the real-time face feature and the preset face feature information are verified, the login is allowed when the verification is passed.
3. An intelligent storage system based on a data classification system according to claim 2, wherein: the verification process of the user fingerprint information is as follows: the fingerprint acquisition equipment acquires user fingerprint information including real-time fingerprint information and pressing force information, when the real-time fingerprint information passes through verification, and pressing force information passes through verification, the user fingerprint information passes through verification, login is allowed, and when any one of the real-time fingerprint information and pressing force information fails to pass through verification, the user fingerprint information fails to pass through verification, and login is not allowed.
4. The intelligent storage system based on a data classification system of claim 1, wherein: the verification process between the real-time face features and the preset face feature information is as follows: the method comprises the steps of extracting face features, acquiring images of a rotating face of a login user from the face features, acquiring real-time face recognition parameters and real-time rotating angle information, comparing the real-time face recognition parameters with preset face recognition parameters to acquire face parameter comparison results, comparing the real-time rotating angle information with the preset rotating angle information to acquire rotating angle comparison results, allowing the login when the face parameter comparison results and the rotating angle comparison results are all the comparison results, and not allowing the login when any one of the face parameter comparison results and the rotating angle comparison results is the comparison result.
5. The intelligent storage system based on a data classification system of claim 1, wherein: the process of verifying whether the user is a new user or an old user is as follows: after the user logs in, the data stored by the user is retrieved from the data storage module, and when the user is found to store the data in the past, the user is classified as an old user.
6. The intelligent storage system based on a data classification system of claim 1, wherein: the data storage classification information comprises first classification information and second classification information;
the specific processing procedure of the data storage classification information is as follows:
s1: when the user is a new user, after the user login is completed, an initial storage folder is established for the user;
s2: then extracting imported data information to be stored of a user, and scanning the data information to be stored to obtain data type information to be stored, wherein the data type information to be stored comprises view types, text types and comprehensive types;
s3: after the data type information to be stored is acquired, generating first classification information, and establishing a secondary folder in the initial storage folder: the second-level folder comprises a view class folder, a text class folder and a comprehensive class folder;
s4: then processing the data to be stored to obtain size information of the data to be stored, generating second classification information at the moment, building a size classification folder in the second-level folder after the second classification information is generated, wherein the size classification folder comprises a small folder, a middle folder and a large folder, when the size information of the data to be stored is larger than a preset value a1, the size information is stored in the large folder, when the size information of the data to be stored is between the preset value a1 and a preset value a2, the size information is stored in the middle folder, and when the size information of the data to be stored is smaller than the preset value a2, the size information is stored in the small folder;
s4: when the user is an old user, the data to be stored is directly scanned and stored in the corresponding folder, and when the data to be stored is stored in any folder, the prefix of the data to be stored is marked with a time tag.
7. The intelligent storage system based on a data classification system of claim 1, wherein: the processing process of the network anomaly information is as follows: extracting network information when a user imports data to be stored, acquiring network speed information and network fluctuation amplitude information from the network information, and generating network abnormal information when the network speed information is smaller than a preset value or the network fluctuation amplitude information is larger than the preset amplitude.
8. The intelligent storage system based on a data classification system of claim 1, wherein: the intelligent storage information further comprises a cloud storage module, wherein the cloud storage module is used for automatically backing up the data stored in the data storage module according to the backup rules;
the specific content of the automatic backup rule is as follows: when the data size change in the data storage module exceeds a preset value, generating automatic backup information, and backing up the data stored in the data storage module, wherein the data size change in the data storage module does not exceed the preset value, namely generating the automatic backup information once every preset time;
and only the data updated for the last three times is reserved in the cloud storage module, namely, each backup is performed once, namely, the backup file with the longest distance from the current time is deleted.
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| CN116451211A (en) * | 2023-06-16 | 2023-07-18 | 济南亚正企业管理咨询有限公司 | File information processing method and system based on digital security |
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2023
- 2023-02-16 CN CN202310122186.7A patent/CN116049797A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116451211A (en) * | 2023-06-16 | 2023-07-18 | 济南亚正企业管理咨询有限公司 | File information processing method and system based on digital security |
| CN116451211B (en) * | 2023-06-16 | 2023-08-29 | 济南亚正企业管理咨询有限公司 | File information processing method and system based on digital security |
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