CN113392107A - School operation data analysis method - Google Patents
School operation data analysis method Download PDFInfo
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- CN113392107A CN113392107A CN202110603859.1A CN202110603859A CN113392107A CN 113392107 A CN113392107 A CN 113392107A CN 202110603859 A CN202110603859 A CN 202110603859A CN 113392107 A CN113392107 A CN 113392107A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a school operation data analysis method which comprises a client, a server and a database, wherein the client is in communication connection with the server, a school establishes a registration port and a receiving port through the client, the server is used for creating and storing personal information and family information, the personal information and the family information sent by other servers are received by using the receiving port and stored and received to the database, the database comprises a cloud computing module and a plurality of sub-databases, the database synchronizes data stored in a main database to the sub-databases, the cloud computing module comprises a distribution module and an encryption module, and the distribution module analyzes the personal information and the family information of student information in the database to classify.
Description
Technical Field
The invention relates to the technical field of data analysis and processing, in particular to a school operation data analysis method.
Background
With the development of smart campus construction and the increase of school informatization investment, the concept of digital teaching has been tested, and the digital teaching has a very important meaning for school operation, because the school operation target is various data analysis in the school, and the main target is a student, the school operation is mainly data analysis management of the student, however, the effect presented by the school operation at present cannot be displayed through data, and the problem cannot be found and improved from the data analysis result, and the distribution module analyzes the personal information and the family information of the student information in the database to classify.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a school operation data analysis method.
The technical scheme adopted by the invention for solving the technical problems is as follows: a school operation data analysis method comprises a client, a server and a database, wherein the client is in communication connection with the server, and the method comprises the following steps:
s1: a school establishes a registration port and a receiving port through the client, the registration port inputs login information to log in, the receiving port collects student information of a registration application request on the registration port, the student information comprises personal information and family information, the personal information and the family information of the student information are generated according to cloud computing built in a database and are accurately analyzed and calculated to form a plurality of data statistical tables, and the data statistical tables are uploaded to the database;
s2: the server is used for creating and storing personal information and family information, receiving the personal information and the family information sent by other servers by using a receiving port, storing and receiving the personal information and the family information to a database, and comprises an extranet server and an intranet server, wherein the extranet server provides data office application for intranet users, and the intranet server provides file downloading, program application support and remote management for the extranet users;
s3: the database comprises cloud computing and a plurality of sub-databases, and synchronizes data stored in the main database to the sub-databases, wherein the main database is a database allowing a user to perform data reading and writing operations; the sub-database is a database which only allows a user to read data, the database accurately analyzes and calculates personal information and family information of student information generated by cloud computing and personal information and family information sent by other servers into a plurality of data statistical tables to be uploaded to the sub-database, whether the people flow data are too large or not is intelligently analyzed according to the data on the data statistical tables, the sub-database is in a server use peak period, and the sub-database is connected with the intranet server to independently download data;
s4: the cloud computing system comprises a distribution module and an encryption module, the distribution module analyzes personal information and family information of student information in a database to classify, and assigns classes and positions of sleeping for students on a data statistical table, and the encryption module is used for encrypting and decrypting data on the virtual machine.
Specifically, in step S1, the registration port logs in to the extranet server of the server by inputting an id card and a registration password, and performs information entry by correspondingly selecting form filling information, and after student information is processed in an encrypted form and definition, compresses and stores or transmits definition-processed data.
Specifically, in step S2, the intranet server initiates a connection to one server, and the extranet server uses the connection through the server and accesses the extranet server through the intranet server.
Specifically, in step S3, the cloud computing is configured to calculate a value of the database and a value of the sub-database, compare the value of the database with the value of the sub-database, and analyze differences between the server and other servers.
In particular, in step S4, the distribution module and the encryption module are used to manage and coordinate, encrypt and decrypt requests and tasks, and generate and manage keys according to the control information of the database.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a school operation data analysis method, which comprises the steps of establishing a registration port and a receiving port at a client, logging in by inputting login information, collecting student information requested by registration application on the registration port by the receiving port, accurately analyzing and calculating personal information and family information of the student information according to cloud computing built in a database to form a plurality of data statistical tables, enabling data to be clearer, forming the data statistical tables under the processing and analysis of the cloud computing, carrying out statistical comparison according to the statistical tables, having an encryption program in the process, extracting data and downloading the data after decryption through a specific secret key, having data clearness and operation regulation, and being safe and reliable at the same time, and realizing timely unification of schools on operation data analysis and clear data effect.
Drawings
FIG. 1 is an architectural diagram of the present invention;
fig. 2 is an architecture diagram of a server according to 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 drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, the present invention provides a school operation data analysis method, including a client, a server and a database, where the client is in communication connection with the server, including the following steps:
s1: a school establishes a registration port and a receiving port through the client, the registration port inputs login information to log in, the receiving port collects student information of a registration application request on the registration port, the student information comprises personal information and family information, the personal information and the family information of the student information are generated according to cloud computing built in a database and are accurately analyzed and calculated to form a plurality of data statistical tables, and the data statistical tables are uploaded to the database;
s2: the server is used for creating and storing personal information and family information, receiving the personal information and the family information sent by other servers by using a receiving port, storing and receiving the personal information and the family information to a database, and comprises an extranet server and an intranet server, wherein the extranet server provides data office application for intranet users, and the intranet server provides file downloading, program application support and remote management for the extranet users;
s3: the database comprises cloud computing and a plurality of sub-databases, and synchronizes data stored in the main database to the sub-databases, wherein the main database is a database allowing a user to perform data reading and writing operations; the sub-database is a database which only allows a user to read data, the database accurately analyzes and calculates personal information and family information of student information generated by cloud computing and personal information and family information sent by other servers into a plurality of data statistical tables to be uploaded to the sub-database, whether the people flow data are too large or not is intelligently analyzed according to the data on the data statistical tables, the sub-database is in a server use peak period, and the sub-database is connected with the intranet server to independently download data;
s4: the cloud computing system comprises a distribution module and an encryption module, the distribution module analyzes personal information and family information of student information in a database to classify, and assigns classes and positions of sleeping for students on a data statistical table, and the encryption module is used for encrypting and decrypting data on the virtual machine.
The specific working principle is as follows: in the step S1, the registration port logs in to an extranet server of the server by inputting an identity card and a registration password, information is entered by correspondingly selecting form-filling information, student information is processed in an encrypted form and definition, and then the definition-processed data is compressed, stored or transmitted, in the step S2, the intranet server actively initiates a connection to a server, the extranet server uses the connection through the server and accesses through the intranet server, in the step S3, the cloud calculates values used for calculating the database and the sub-database, compares the database values with the sub-database values, and analyzes differences between the server and other servers, and in the step S4, the allocation module and the encryption module are used for managing and coordinating the extranet server according to control information of the database, The cloud computing system has the advantages that encryption and decryption requests and tasks, generation and management of keys are carried out through the registered port, information is input through the registered port, information is collected through the registered port, a data statistical table is formed under the processing and analysis of cloud computing, statistics and comparison are carried out according to the statistical table, an encryption program is arranged in the process, data are extracted and downloaded after decryption is carried out through a specific key, the cloud computing system has the advantages of being clear in data, safe and reliable in operation regulation, and capable of avoiding peak flow.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (5)
1. A school operation data analysis method comprises a client, a server and a database, wherein the client is in communication connection with the server, and the school operation data analysis method is characterized by comprising the following steps:
s1: a school establishes a registration port and a receiving port through the client, the registration port inputs login information to log in, the receiving port collects student information of a registration application request on the registration port, the student information comprises personal information and family information, the personal information and the family information of the student information are generated according to cloud computing built in a database and are accurately analyzed and calculated to form a plurality of data statistical tables, and the data statistical tables are uploaded to the database;
s2: the server is used for creating and storing personal information and family information, receiving the personal information and the family information sent by other servers by using a receiving port, storing and receiving the personal information and the family information to a database, and comprises an extranet server and an intranet server, wherein the extranet server provides data office application for intranet users, and the intranet server provides file downloading, program application support and remote management for the extranet users;
s3: the database comprises cloud computing and a plurality of sub-databases, and synchronizes data stored in the main database to the sub-databases, wherein the main database is a database allowing a user to perform data reading and writing operations; the sub-database is a database which only allows a user to read data, the database accurately analyzes and calculates personal information and family information of student information generated by cloud computing and personal information and family information sent by other servers into a plurality of data statistical tables to be uploaded to the sub-database, whether the people flow data are too large or not is intelligently analyzed according to the data on the data statistical tables, the sub-database is in a server use peak period, and the sub-database is connected with the intranet server to independently download data;
s4: the cloud computing system comprises a distribution module and an encryption module, the distribution module analyzes personal information and family information of student information in a database to classify, and assigns classes and positions of sleeping for students on a data statistical table, and the encryption module is used for encrypting and decrypting data on the virtual machine.
2. The school operation data analysis method according to claim 1, wherein in step S1, the login port logs in to the extranet server of the server by inputting an id card and a login password, and performs information entry by selecting form filling information correspondingly, and after student information is processed in an encrypted form and definition, the data after definition processing is compressed for storage or transmitted.
3. The school operation data analysis method according to claim 1, wherein in step 2, said intranet server actively initiates a connection to a server, and said extranet server uses the connection through the server and accesses through the intranet server.
4. The school operation data analysis method according to claim 1, wherein in step S3, the cloud computing is configured to calculate the values of the database and the sub-database, compare the values of the database and the sub-database, and analyze the difference between the server and other servers.
5. The school operation data analysis method according to claim 1, wherein in said step S4, said distribution module and said encryption module are used for managing and coordinating, encrypting and decrypting requests and tasks and generating and managing keys according to the control information of said database.
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| CN202110603859.1A CN113392107A (en) | 2021-05-31 | 2021-05-31 | School operation data analysis method |
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| CN202110603859.1A CN113392107A (en) | 2021-05-31 | 2021-05-31 | School operation data analysis method |
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| CN113392107A true CN113392107A (en) | 2021-09-14 |
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Application publication date: 20210914 |