CN115203136A - Artificial intelligence management system based on big data - Google Patents
Artificial intelligence management system based on big data Download PDFInfo
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- CN115203136A CN115203136A CN202211117558.9A CN202211117558A CN115203136A CN 115203136 A CN115203136 A CN 115203136A CN 202211117558 A CN202211117558 A CN 202211117558A CN 115203136 A CN115203136 A CN 115203136A
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Abstract
The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence management system based on big data, which comprises an S1 storage and classification module, a storage and classification module and a classification module, wherein the storage and classification module is used for facilitating the classified storage of different data; s2, the private and sharing module is convenient for private storage or sharing use of the file; s3, an information acquisition module for acquiring an instruction input by a user; s4, an analysis module analyzes the instruction input by the user and provides data required to be searched by the user according to the analysis result; s5, the data acquisition module acquires cloud resource data when the data acquisition module judges that the data corresponding to the requirements of the user does not exist in the sharing module, and compared with the existing management system, the cloud resource data management method improves the convenience and efficiency of the management system through design.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence management system based on big data.
Background
Big data (bigdata) refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is massive, high-growth rate and diversified information assets which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode;
with the development of artificial intelligence technology, the artificial intelligence technology gradually permeates all industries and becomes a new engine of economic development, an enterprise business management system also needs to be combined with actual needs to develop exploration and application in the technical field of artificial intelligence, and a management system or a platform for managing enterprise business data is developed according to diversification of enterprise businesses.
Therefore, for the improvement of the existing management system, it is very important to design an artificial intelligence management system based on big data to change the technical defects and improve the convenience and efficiency of the whole management system.
Disclosure of Invention
The invention aims to provide an artificial intelligence management system based on big data to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an artificial intelligence management system based on big data comprises the following steps:
s1, a storage and classification module is used for facilitating classification storage of different data;
s2, a private and sharing module is used for facilitating private storage or sharing of the file;
s3, an information acquisition module for acquiring an instruction input by a user;
s4, an analysis module analyzes the instruction input by the user and provides data required to be searched by the user according to the analysis result;
and S5, a data acquisition module acquires cloud resource data when the data acquisition module judges that the data corresponding to the user requirement does not exist in the sharing module.
As a preferable scheme of the present invention, in S1, login is performed through a personal account, data of different users are stored in a classified manner, and the classified storage module is provided with data date, specific storage time, and department classification, and can perform schedule reminding on different data.
As a preferable scheme of the present invention, in S2, the privacy and sharing module is divided into a privacy platform and a sharing platform, the privacy platform privately stores the stored and classified data, the data stored privately can be checked only by a personal account, the privacy of the private file is maintained, the shared data is convenient for departments or enterprises to share, use and search, the privacy platform is provided with an unlocking function, the sharing platform is provided with a locking function, and both the unlocking function and the locking function require face recognition for unlocking operation before operation.
As a preferable scheme of the present invention, in S3, the text data, the picture data, or the voice data input by the user is recognized to obtain the keyword thereof, so that the corresponding data can be conveniently searched.
As a preferred embodiment of the present invention, when the information obtaining module identifies the picture data, when the picture definition is low, the picture cannot be identified, when the information obtaining module extracts the voice data, it is determined whether the voice is mandarin, the voice data is directly converted into text data through the instruction analyzing module, and if the voice is determined to be non-mandarin, the extraction and identification cannot be performed.
As a preferable scheme of the invention, the private and sharing module is connected with the storage and classification module, and the stored data can be divided into a private platform or a sharing platform.
As a preferable scheme of the present invention, in S4, the keywords obtained by recognizing the text data, the picture data, or the voice data are analyzed and recognized, and the recognition result is correspondingly recognized and searched in the sharing platform according to the requirement of the user.
As a preferable scheme of the present invention, in S5, when the user' S requirement in the analysis module cannot find the corresponding data in the sharing platform, the corresponding cloud resource data is obtained.
As a preferred scheme of the present invention, in S5, the data obtaining module is connected to the storage classifying module and the private and sharing module, and can automatically classify and store the obtained corresponding cloud resource data to the private platform or the sharing platform.
Compared with the prior art, the invention has the beneficial effects that:
according to the cloud resource data storage and retrieval system, different data are conveniently classified and stored through the storage and classification module, corresponding searching and remarking in the later period are facilitated, classified data in the storage and classification module are stored or shared and used in a private mode through the private and sharing module, input appointments are identified and extracted through the information acquisition module, extracted keywords are searched correspondingly through the analysis module, when the shared platform does not contain the data, cloud resource data are acquired through the data acquisition module, the searched data can be classified and stored through the storage and classification module, and then the private and sharing module is used for storing or sharing the data.
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FIG. 1 is a flow chart of the steps of the present invention.
FIG. 2 is a flow chart of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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, rather than all of the embodiments, and based on the embodiments of the present invention, all other embodiments obtained by a person skilled in the art without making creative efforts belong to the protection scope of the present invention.
While several embodiments of the present invention will be described below in order to facilitate an understanding of the invention, with reference to the related description, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for the purpose of providing a thorough and complete disclosure of the invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present, and when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, as the terms "vertical", "horizontal", "left", "right" and the like are used herein for descriptive purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the terms used herein in the specification of the present invention are for the purpose of describing particular embodiments only and are not intended to limit the present invention, and the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
In the embodiment of the method, the first step,
referring to fig. 1-2, the present invention provides a technical solution:
an artificial intelligence management system based on big data comprises the following steps:
s1, a storage and classification module is used for facilitating classification storage of different data;
s2, the private and sharing module is convenient for private storage or sharing use of the file;
s3, an information acquisition module for acquiring an instruction input by a user;
s4, the analysis module analyzes the instruction input by the user and provides data required to be searched by the user according to the analysis result;
and S5, the data acquisition module acquires cloud resource data when the data acquisition module judges that the data corresponding to the requirements of the user does not exist in the sharing module.
Further, referring to fig. 2, in S1, login is performed through a personal account, data of different users are stored in a classified manner, and a classification storage module is provided with department classification, storage date record and query date record.
Further, referring to fig. 2, in S2, the private and sharing module is divided into a private platform and a sharing platform, the stored and classified data is stored privately through the private platform, the data stored privately can be checked only by a personal account, the privacy of a private file is maintained, the shared data is convenient for departments or enterprises to share, use and search, the private platform is additionally provided with an unlocking function, the sharing platform is additionally provided with a locking function, the unlocking function and the locking function are both required to be unlocked through face recognition before operation, and the unlocking function and the control function are both controlled through the control unit.
Further, referring to fig. 2, in S3, when analyzing the instruction input by the user, the analysis module identifies that the instruction input by the user is text data, picture data, or voice data, and if the instruction is text data, the instruction analysis module extracts a plurality of keywords from the text data and determines an association relationship between the extracted keywords; if the image data is interacted with the instruction, the instruction analysis module converts the image data into character data, extracts keywords and determines the incidence relation among the keywords; if the interactive instruction is voice data, the instruction analysis module converts the voice data into character data, then extracts keywords, determines the association relation among the keywords, identifies the character data, the picture data or the voice data input by the user to obtain the keywords, and facilitates corresponding searching.
Further, referring to fig. 2, when the information obtaining module identifies the picture data, when the picture definition is low, the picture cannot be identified, when the information obtaining module extracts the voice data, it determines whether the voice is mandarin, the voice data is mandarin, and the voice data is directly converted into text data through the instruction analyzing module, and if the voice is determined to be non-mandarin, the extraction and identification cannot be performed.
Further, referring to fig. 2, the private and shared module is connected to the storage and classification module, and the stored data can be divided into a private platform or a shared platform.
Further, referring to fig. 2, in S4, the keywords obtained by recognizing and acquiring text data, picture data, or voice data are analyzed and recognized, the recognized results are correspondingly recognized and searched in the sharing platform according to the requirements of the user, and when the data required by the user is searched in the sharing platform, the analysis query results are directly sent to the data acquisition module.
Further, referring to fig. 2, in S5, when the user' S requirement in the analysis module cannot find the corresponding data in the sharing platform, the corresponding cloud resource data is obtained.
Further, referring to fig. 2, in S5, the private and shared module is connected to the storage and classification module, and the stored data can be classified into a private platform or a shared platform.
The working process of the invention is as follows: when a user uses the artificial intelligence management system based on big data, firstly, different data are conveniently and automatically classified and stored through the S1 storage and classification module, corresponding searching and remarking are convenient to perform in the later period, the S2 privacy and sharing module is utilized to carry out privacy storage or sharing use on classified data in the S1 storage and classification module, when the user needs to search the data, the S3 information acquisition module identifies and extracts input appointments, at the same time, the S4 analysis module carries out corresponding searching on the extracted keywords, when the sharing platform does not contain the data, the S5 data acquisition module is utilized to acquire cloud resource data, the searched data can be classified and stored through the S1 storage and classification module, and then the S2 privacy and sharing module is utilized to carry out privacy storage or sharing use, so that the operation is easy and convenient, the efficiency of data searching is improved, compared with the existing management system, the convenience and efficiency of the management system are improved through design.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An artificial intelligence management system based on big data is characterized by comprising the following steps:
s1, a storage and classification module is used for facilitating classification storage of different data;
s2, the private and sharing module is convenient for private storage or sharing use of the file;
s3, an information acquisition module for acquiring an instruction input by a user;
s4, the analysis module analyzes the instruction input by the user and provides data required to be searched by the user according to the analysis result;
and S5, a data acquisition module acquires cloud resource data when the data acquisition module judges that the data corresponding to the user requirement does not exist in the sharing module.
2. The artificial intelligence management system based on big data of claim 1, wherein: in the S1, login is carried out through a personal account, data of different users are stored in a classified mode, the classified storage module is provided with data date, specific storage time and department classification in a standby mode, and meanwhile schedule reminding can be carried out on different data.
3. The artificial intelligence management system based on big data according to claim 1, wherein: in the S2, the private and sharing module is divided into a secret platform and a sharing platform, the stored and classified data are stored in a private mode through the private platform, the data stored in the private mode can be checked only through a personal account number, the privacy of private files is maintained, the shared data are convenient for departments or enterprises to share, use and search, the private platform is provided with an unlocking function, the sharing platform is provided with a locking function, and the unlocking function and the locking function are unlocked through face recognition before operation.
4. The artificial intelligence management system based on big data of claim 1, wherein: in the S3, the character data, the picture data or the voice data input by the user are identified to obtain the key words of the character data, the picture data or the voice data, so that the corresponding data can be conveniently searched.
5. The artificial intelligence management system based on big data of claim 4, wherein: when the information acquisition module identifies picture data, when the picture definition is low, the picture cannot be identified, when the information acquisition module extracts the voice data, whether the voice is mandarin or not is determined, the voice data is mandarin and is directly converted into character data through the instruction analysis module, and if the voice is determined to be non-mandarin, the extraction and identification cannot be carried out.
6. The artificial intelligence management system based on big data of claim 1, wherein: the private and sharing module is connected with the storage and classification module, and the stored data can be divided into a private platform or a sharing platform.
7. The artificial intelligence management system based on big data according to claim 1, wherein: and S4, analyzing and identifying the keywords obtained by identifying and acquiring the character data, the picture data or the voice data, and correspondingly identifying and searching the identification result in the sharing platform according to the requirements of the user.
8. The artificial intelligence management system based on big data according to claim 1, wherein: in the step S5, when the user' S requirement in the analysis module cannot find the corresponding data in the sharing platform, the corresponding cloud resource data is obtained.
9. The artificial intelligence management system based on big data of claim 1, wherein: in S5, the data acquisition module is simultaneously connected with the storage and classification module and the privacy and sharing module, and can automatically classify and store the acquired corresponding cloud resource data to the privacy platform or the sharing platform.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116032669A (en) * | 2023-03-30 | 2023-04-28 | 联一信息技术(北京)有限公司 | Shared data privacy processing method and server combined with artificial intelligence |
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