CN112333420A - Big data information security management system of smart campus - Google Patents
Big data information security management system of smart campus Download PDFInfo
- Publication number
- CN112333420A CN112333420A CN202010865471.4A CN202010865471A CN112333420A CN 112333420 A CN112333420 A CN 112333420A CN 202010865471 A CN202010865471 A CN 202010865471A CN 112333420 A CN112333420 A CN 112333420A
- Authority
- CN
- China
- Prior art keywords
- campus
- information
- storage
- user
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 52
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000013479 data entry Methods 0.000 claims abstract description 4
- 230000015654 memory Effects 0.000 claims description 73
- 230000002159 abnormal effect Effects 0.000 claims description 28
- 238000012545 processing Methods 0.000 claims description 11
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000713575 Homo sapiens Tubulin beta-3 chain Proteins 0.000 claims description 3
- 101000713585 Homo sapiens Tubulin beta-4A chain Proteins 0.000 claims description 3
- 102100036790 Tubulin beta-3 chain Human genes 0.000 claims description 3
- 102100036788 Tubulin beta-4A chain Human genes 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 11
- 238000005516 engineering process Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/909—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
-
- 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
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Educational Technology (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Software Systems (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Library & Information Science (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Multimedia (AREA)
- Computational Linguistics (AREA)
- Bioethics (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a big data information security management system of a smart campus, which is used for solving the problems that the existing big data information management system cannot reasonably distribute and store data generated by the smart campus and has information query security risk in a big data query process; the system comprises a data entry module, a server, an information analysis module, an information storage module, a data query module, a query monitoring module, a registration login module, a user analysis module and a classroom acquisition module; the campus data information is analyzed to obtain the information storage value and the information storage value is distributed to the storage device of the corresponding storage level to be stored according to the information storage value, so that the campus data information is reasonably stored; important campus data information is sent to a selected classroom through a data query module to be checked, and meanwhile, campus users are checked and monitored, so that the safety of the campus data information is ensured, and the campus data information is prevented from being leaked.
Description
Technical Field
The invention relates to the technical field of big data information security management, in particular to a big data information security management system of a smart campus.
Background
The intelligent campus aims to promote the integration of information technology and education and teaching and improve the learning and teaching effects, takes new technologies such as Internet of things, cloud computing and big data analysis as core technologies, provides comprehensive environment perception, intelligent, data, networking and collaboration integrated teaching, scientific research, management and life services, and can provide an intelligent learning environment for insights and predictions of education and teaching and education management. The smart campus comprises eight types of smart campus application systems, wherein the eight types of smart campus application systems are respectively: the system comprises a student growth type intelligent application system, a teacher professional development type intelligent application system, a scientific research type intelligent application system, an education management type intelligent application system, a safety monitoring type intelligent application system, a logistics service type intelligent application system, a social service type intelligent application system and a comprehensive evaluation type intelligent application system. The big data application range is wide, the big data technology penetrates into every aspect of daily life, and plays an important role in the construction process of the smart campus;
the existing big data information management system cannot reasonably distribute and store data generated by the smart campus, and meanwhile, information query safety risks exist in the big data query process.
Disclosure of Invention
The invention aims to provide a big data information safety management system for a smart campus, aiming at solving the problems that the existing big data information management system can not reasonably distribute and store data generated by the smart campus and has information query safety risk in the big data query process; the campus data information is analyzed to obtain the information storage value and the information storage value is distributed to the storage device of the corresponding storage level to be stored according to the information storage value, so that the campus data information is reasonably stored; important campus data information is sent to a selected classroom through a data query module to be checked, and meanwhile, campus users are checked and monitored, so that the safety of the campus data information is ensured, and the campus data information is prevented from being leaked.
The purpose of the invention can be realized by the following technical scheme: a big data information security management system of a smart campus comprises a data entry module, a server, an information analysis module and an information storage module;
the data input data are used for the campus user to input campus data information and the class of the campus data information through the intelligent terminal and send the campus data information and the class to the information analysis module through the server;
the information analysis module is used for analyzing campus data information input by campus users through the intelligent terminal and the categories of the campus data information, and the specific analysis steps are as follows:
the method comprises the following steps: marking the campus data information as Ai, i is 1, … … and n; setting preset integral values corresponding to campus users as B1, B2, B3 and B4, sequentially representing the preset integral values of students, teachers, campus workers and campus leaders, wherein B1< B2< B3< B4;
step two: matching the campus user with a preset integral value corresponding to a set campus user, acquiring the preset integral value corresponding to the campus user and marking as BjAi(ii) a j ═ 1, 2, 3, and 4;
step three: setting a plurality of categories corresponding to the campus data information, wherein each category corresponds to a preset category value and is marked as Ck, and k is 1, … … and n; matching the class of the campus data information with the class corresponding to the campus data information to obtain a corresponding preset class value and marking the preset class value as CkAi；
Step four: the information analysis module generates an information security instruction and sends the information security instruction to the intelligent terminal of the campus user; the campus user receives the information security instruction through the intelligent terminal and then carries out operation processing, and the specific processing is as follows:
s1: when a campus user sends a safety increasing instruction to an information analysis module within a preset time range through an intelligent terminal, the information analysis module sends basic information of the campus user to an intelligent terminal of an auditor; after receiving the basic information of the campus user through the intelligent terminal, the auditor sends a security added value to the information analysis module through the intelligent terminal; wherein the value range of the safety increment value is one to ten;
s2: when the campus user sends other instructions or does not send instructions within a preset time range through the intelligent terminal, the safety added value is directly zero;
step five: the information analysis module marks the security increment value as DAi；
Step six: using formula GAi＝BjAi×d1+CkAi×d2+DAiObtaining an information storage value G corresponding to the campus data information by using the multiplied by d3+ Z multiplied by d4Ai(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; z is the campus value of the campus user inputting the campus data information;
step seven: the information analysis module sends the campus data information and the corresponding information storage value to the information storage module;
the information storage module is used for receiving campus data information and corresponding information storage values and performing distribution storage, and the specific distribution steps are as follows:
SS 1: the information storage module comprises a plurality of memories, wherein the memories are respectively marked as Hm, and m is 1, 2, … … and n; counting the model, the rated memory and the residual memory of the memory;
SS 2: setting a preset model value for all models of the memories, matching the models of the memories with all models of the memories to obtain corresponding preset model values, and marking the preset model values as WHm；
SS 3: the rated memory and the residual memory of the setting memory are respectively marked as U1HmAnd U2Hm；
SS 4: using formulas
Obtaining the stored value V of the memoryHm(ii) a Wherein mu is a correction factor and takes the value of 0.86589; d5, d6 and d7 are all preset proportion systemCounting;
SS 5: dividing the memory into a plurality of memory grades Fg, g being 1, … … and 10; each storage grade corresponds to a storage range; the storage range of the storage rank Fg is (f)8，f8+1]And f is1>f2>……>f11；
SS 6: when the device of the memory stores value VHmIf the memory belongs to the storage range of the storage grade Fg, the memory is marked as a memory corresponding to the storage grade Fg;
SS 7: matching an information storage value corresponding to the campus data information with a storage range of a storage level Fg, when the information storage value belongs to the storage range of the storage level Fg, acquiring a storage corresponding to the storage level Fg, selecting a storage with the largest storage value in the storage corresponding to the storage level Fg as a storage of the campus data information, and then sending the campus data information to the storage for storage;
the server also comprises a storage unit which is used for storing classroom information, user information of campus users, campus values and abnormal total values.
The campus users comprise students and teachers in the campus, campus staff and campus leaders; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet computer, a desktop computer and a notebook computer.
Preferably, the system also comprises a data query module and a query monitoring module; the data query module is used for the campus user to query the campus data information stored in the memory, and the specific query steps are as follows:
the method comprises the following steps: a campus user inputs a query keyword to a data query module through an intelligent terminal;
step two: after receiving the query keywords, the data query module carries out keyword processing on the memory in the information storage module through the query keywords and acquires corresponding campus data information;
step three: when the campus data information is stored in the memories corresponding to the storage levels F2-F10, the corresponding campus data information is directly sent to the intelligent terminals of the campus users for viewing and displaying;
step four: when the campus data information is stored in a memory corresponding to the storage level F1, acquiring a campus value of the campus user; when the campus value is smaller than a set threshold value, generating an instruction incapable of being checked and sending the instruction to the intelligent terminal of the campus user; when the campus value is larger than or equal to a set threshold value, generating a reservation viewing instruction; the data query module sends the reservation viewing instruction to the intelligent terminal of the campus user; after receiving an appointment viewing instruction through an intelligent terminal, a campus user inputs corresponding viewing time and a current position to a data query module; the data query module receives the checking time and the current position and distributes the checking time and the current position, and the specific distribution steps are as follows:
s41: acquiring a campus classroom which is not used by people on the same day to which the viewing time belongs in the campus and marking the campus classroom as a preferred classroom; the campus classroom comprises a desktop computer and a camera for monitoring the desktop computer;
s42: calculating the distance difference between the position of a school park classroom and the position of a preferred classroom to obtain the classroom distance; selecting the preferred classroom with the smallest classroom spacing as the selected classroom;
step five: the data query module sends the position of the selected classroom to an intelligent terminal of the campus user;
step six: the campus user arrives at a selected classroom at the query time and accesses the data query module through a desktop computer in the selected classroom;
step seven: the data query module sends the corresponding campus data information to a desktop computer of a selected classroom, and a campus user checks the campus data information through the desktop computer of the selected classroom; meanwhile, a camera in the classroom is selected to monitor a monitoring video of a desktop computer for a campus user and the monitoring video is sent to the query monitoring module;
preferably, the query monitoring module is used for receiving the monitoring video and sending the monitoring video to an intelligent terminal of an auditor; the method comprises the steps that auditors check monitoring videos through intelligent terminals, corresponding abnormal scores are input according to the monitoring videos, the abnormal scores are sent to an inquiry monitoring module through the intelligent terminals, the inquiry monitoring module receives the abnormal scores of campus users and sums all the abnormal scores of the campus users to obtain the total abnormal value of the campus users; and the data query module sends the abnormal total value to the server for storage.
The system also comprises a registration login module and a user analysis module; the registration login module is used for the campus user to submit user information through the intelligent terminal and send the user information which is successfully registered to the server for storage; the user information comprises a user name, a mobile phone number, a position to which the user belongs and school entry time;
preferably, the system further comprises a user analysis module, the user analysis module is configured to obtain and analyze the user information and the total abnormal value stored in the storage unit, and the specific analysis steps are as follows:
the method comprises the following steps: calculating the time difference between the time of entry of the campus user and the current time of the system to obtain the time of entry of the campus user, and recording the time as L1; the preset integral value of the campus user is Bj; setting the abnormal total value of campus users as L2;
step two: acquiring a campus value Z of the campus user by using a formula Z-L1 × d8+ Bj × d9-L2 × d10, wherein d8, d9 and d10 are all preset proportionality coefficients;
step three: and the user analysis module sends the campus value of the campus user to a storage unit in the server for updating and storing.
Preferably, the system further comprises a classroom acquisition module; the classroom acquisition module is used for acquiring classroom information of a campus classroom and sending the classroom information to the storage unit for storage; the classroom information comprises the number and the position of the campus classroom, the number of a desktop computer and the number of a camera in the campus classroom and the course arrangement data of the campus classroom.
Compared with the prior art, the invention has the beneficial effects that:
1. the data input data are used for the campus user to input campus data information and the class of the campus data information through the intelligent terminal and send the campus data information and the class to the information analysis module through the server; the information analysis module is used for analyzing the campus data information input by the campus user through the intelligent terminal and the class of the campus data information, and obtaining an information storage value corresponding to the campus data information by using a formula; the information analysis module sends the campus data information and the corresponding information storage value to the information storage module; the information storage module receives the campus data information and the corresponding information storage values and performs distribution storage; the campus data information is analyzed to obtain an information storage value and is distributed to the memories of the corresponding storage levels according to the information storage value for storage, so that the campus data information is reasonably stored;
2. the data query module is used for the campus user to query the campus data information stored in the memory, and the campus user inputs query keywords to the data query module through the intelligent terminal; after receiving the query keywords, the data query module carries out keyword processing on the memory in the information storage module through the query keywords and acquires corresponding campus data information; the data query module receives and distributes the checking time and the current position, and the data query module sends the position of the selected classroom to the intelligent terminal of the campus user; the campus user arrives at a selected classroom at the query time and accesses the data query module through a desktop computer in the selected classroom; the data query module sends the corresponding campus data information to a desktop computer of a selected classroom, and a campus user checks the campus data information through the desktop computer of the selected classroom; meanwhile, a camera in the classroom is selected to monitor a monitoring video of a desktop computer for a campus user and the monitoring video is sent to the query monitoring module; important campus data information is sent to a selected classroom through a data query module to be checked, and meanwhile, campus users are checked and monitored, so that the safety of the campus data information is ensured, and the campus data information is prevented from being leaked.
Drawings
In order 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 a schematic 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 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.
Referring to fig. 1, a big data information security management system for a smart campus includes a data entry module, a server, an information analysis module, an information storage module, a data query module, a query monitoring module, a registration and login module, a user analysis module, and a classroom acquisition module;
the data input data are used for the campus user to input campus data information and the class of the campus data information through the intelligent terminal and send the campus data information and the class to the information analysis module through the server; the campus users comprise students and teachers in the campus, campus staff and campus leaders; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet computer, a desktop computer and a notebook computer; the campus data information comprises files of students, scores of the students, files of classrooms and the like;
the information analysis module is used for analyzing the campus data information input by the campus user through the intelligent terminal and the class of the campus data information, and the specific analysis steps are as follows:
the method comprises the following steps: marking the campus data information as Ai, i is 1, … … and n; setting preset integral values corresponding to campus users as B1, B2, B3 and B4, sequentially representing the preset integral values of students, teachers, campus workers and campus leaders, wherein B1< B2< B3< B4;
step two: matching the campus user with a preset integral value corresponding to a set campus user, acquiring the preset integral value corresponding to the campus user and marking as BjAi(ii) a j ═ 1, 2, 3, and 4;
step three: setting a plurality of categories corresponding to the campus data information, wherein each category corresponds to a preset category value and is marked as Ck, and k is 1, … … and n; matching the class of the campus data information with the class corresponding to the campus data information to obtain a corresponding preset class value and marking the preset class value as CkAi；
Step four: the information analysis module generates an information security instruction and sends the information security instruction to the intelligent terminal of the campus user; the campus user receives the information security instruction through the intelligent terminal and then carries out operation processing, and the specific processing is as follows:
s1: when a campus user sends a safety increasing instruction to an information analysis module within a preset time range through an intelligent terminal, the information analysis module sends basic information of the campus user to an intelligent terminal of an auditor; after receiving the basic information of the campus user through the intelligent terminal, the auditor sends a security added value to the information analysis module through the intelligent terminal; wherein the value range of the safety increment value is one to ten;
s2: when the campus user sends other instructions or does not send instructions within a preset time range through the intelligent terminal, the safety added value is directly zero;
step five: the information analysis module marks the security increment value as DAi；
Step six: using formula GAi＝BjAi×d1+CkAi×d2+DAiObtaining an information storage value G corresponding to the campus data information by using the multiplied by d3+ Z multiplied by d4Ai(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; z is the campus value of the campus user inputting the campus data information; the campus data storage method has the advantages that the larger the campus value of a campus user is, the larger the corresponding information storage value is, and the probability that the campus data information is stored in a memory with a high storage level is higher; the larger the security increment value is, the larger the information storage value is; the larger the preset integral value corresponding to the campus user is, the larger the information storage value is;
step seven: the information analysis module sends the campus data information and the corresponding information storage value to the information storage module;
the information storage module is used for receiving campus data information and corresponding information storage values and performing distribution storage, and the specific distribution steps are as follows:
SS 1: the information storage module comprises a plurality of memories, wherein the memories are respectively marked as Hm, and m is 1, 2, … … and n; counting the model, the rated memory and the residual memory of the memory;
SS 2: setting a preset model value for all models of the memories, matching the models of the memories with all models of the memories to obtain corresponding preset model values, and marking the preset model values as WHm；
SS 3: the rated memory and the residual memory of the setting memory are respectively marked as U1HmAnd U2Hm；
SS 4: using formulas
Obtaining the stored value V of the memoryHm(ii) a Wherein mu is a correction factor and takes the value of 0.86589; d5, d6 and d7 are all preset proportionality coefficients; the method comprises the following steps that (1) a formula is used for obtaining the storage grade of a storage, wherein the larger the rated memory, the residual memory and the preset model value of the storage are, the larger the value of the storage is, and the larger the storage grade of the storage is;
SS 5: dividing the memory into a plurality of memory grades Fg, g being 1, … … and 10; each storage grade corresponds to a storage range; the storage range of the storage rank Fg is (f)8，f8+1]And f is1>f2>……>f11；
SS 6: when the device of the memory stores value VHmIf the memory belongs to the storage range of the storage grade Fg, the memory is marked as a memory corresponding to the storage grade Fg;
SS 7: matching an information storage value corresponding to the campus data information with a storage range of a storage level Fg, when the information storage value belongs to the storage range of the storage level Fg, acquiring a storage corresponding to the storage level Fg, selecting a storage with the largest storage value in the storage corresponding to the storage level Fg as a storage of the campus data information, and then sending the campus data information to the storage for storage;
the server also comprises a storage unit, wherein the storage unit is used for storing classroom information, user information of campus users, campus values and abnormal total values;
the data query module is used for the campus user to query the campus data information stored in the memory, and the specific query steps are as follows:
the method comprises the following steps: a campus user inputs a query keyword to a data query module through an intelligent terminal;
step two: after receiving the query keywords, the data query module carries out keyword processing on the memory in the information storage module through the query keywords and acquires corresponding campus data information;
step three: when the campus data information is stored in the memories corresponding to the storage levels F2-F10, the corresponding campus data information is directly sent to the intelligent terminals of the campus users for viewing and displaying;
step four: when the campus data information is stored in a memory corresponding to the storage level F1, acquiring a campus value of the campus user; when the campus value is smaller than a set threshold value, generating an instruction incapable of being checked and sending the instruction to the intelligent terminal of the campus user; when the campus value is larger than or equal to a set threshold value, generating a reservation viewing instruction; the data query module sends the reservation viewing instruction to the intelligent terminal of the campus user; after receiving an appointment viewing instruction through an intelligent terminal, a campus user inputs corresponding viewing time and a current position to a data query module; the data query module receives the checking time and the current position and distributes the checking time and the current position, and the specific distribution steps are as follows:
s41: acquiring a campus classroom which is not used by people on the same day to which the viewing time belongs in the campus and marking the campus classroom as a preferred classroom; the campus classroom comprises a desktop computer and a camera for monitoring the desktop computer;
s42: calculating the distance difference between the position of a school park classroom and the position of a preferred classroom to obtain the classroom distance; selecting the preferred classroom with the smallest classroom spacing as the selected classroom;
step five: the data query module sends the position of the selected classroom to an intelligent terminal of the campus user;
step six: the campus user arrives at a selected classroom at the query time and accesses the data query module through a desktop computer in the selected classroom;
step seven: the data query module sends the corresponding campus data information to a desktop computer of a selected classroom, and a campus user checks the campus data information through the desktop computer of the selected classroom; meanwhile, a camera in the classroom is selected to monitor a monitoring video of a desktop computer for a campus user and the monitoring video is sent to the query monitoring module;
the query monitoring module is used for receiving the monitoring video and sending the monitoring video to an intelligent terminal of an auditor; the method comprises the steps that auditors check monitoring videos through intelligent terminals, corresponding abnormal scores are input according to the monitoring videos, the abnormal scores are sent to an inquiry monitoring module through the intelligent terminals, the inquiry monitoring module receives the abnormal scores of campus users and sums all the abnormal scores of the campus users to obtain the total abnormal value of the campus users; and the data query module sends the abnormal total value to the server for storage.
The registration login module is used for submitting user information by a campus user through an intelligent terminal and sending the user information which is successfully registered to a server for storage; the user information comprises a user name, a mobile phone number, a position to which the user belongs and school entry time;
the user analysis module is used for acquiring and analyzing the user information and the abnormal total value stored in the storage unit, and the specific analysis steps are as follows:
the method comprises the following steps: calculating the time difference between the time of entry of the campus user and the current time of the system to obtain the time of entry of the campus user, and recording the time as L1; the preset integral value of the campus user is Bj; setting the abnormal total value of campus users as L2;
step two: acquiring a campus value Z of the campus user by using a formula Z-L1 × d8+ Bj × d9-L2 × d10, wherein d8, d9 and d10 are all preset proportionality coefficients;
step three: and the user analysis module sends the campus value of the campus user to a storage unit in the server for updating and storing.
The classroom acquisition module is used for acquiring classroom information of a campus classroom and sending the classroom information to the storage unit for storage; the classroom information comprises the number and the position of the campus classroom, the number of a desktop computer and the number of a camera in the campus classroom and the course arrangement data of the campus classroom.
When the invention is used, the data recordThe incoming data are used for the campus user to input campus data information and the class of the campus data information through the intelligent terminal and send the campus data information and the class to the information analysis module through the server; the information analysis module is used for analyzing the campus data information input by campus users through the intelligent terminal and the class of the campus data information, and a formula G is usedAi＝BjAi×d1+CkAi×d2+DAiObtaining an information storage value G corresponding to the campus data information by using the multiplied by d3+ Z multiplied by d4Ai(ii) a The information analysis module sends the campus data information and the corresponding information storage value to the information storage module; the information storage module receives the campus data information and the corresponding information storage values and performs distribution storage; the campus data information is analyzed to obtain an information storage value and is distributed to the memories of the corresponding storage levels according to the information storage value for storage, so that the campus data information is reasonably stored;
the data query module is used for the campus user to query the campus data information stored in the memory, and the campus user inputs query keywords to the data query module through the intelligent terminal; after receiving the query keywords, the data query module carries out keyword processing on the memory in the information storage module through the query keywords and acquires corresponding campus data information; when the campus data information is stored in a memory corresponding to the storage level F1, acquiring a campus value of the campus user; when the campus value is smaller than a set threshold value, generating an instruction incapable of being checked and sending the instruction to the intelligent terminal of the campus user; when the campus value is larger than or equal to a set threshold value, generating a reservation viewing instruction; the data query module sends the reservation viewing instruction to the intelligent terminal of the campus user; after receiving an appointment viewing instruction through an intelligent terminal, a campus user inputs corresponding viewing time and a current position to a data query module; the data query module receives and distributes the checking time and the current position, and the data query module sends the position of the selected classroom to the intelligent terminal of the campus user; the campus user arrives at a selected classroom at the query time and accesses the data query module through a desktop computer in the selected classroom; the data query module sends the corresponding campus data information to a desktop computer of a selected classroom, and a campus user checks the campus data information through the desktop computer of the selected classroom; meanwhile, a camera in the classroom is selected to monitor a monitoring video of a desktop computer for a campus user and the monitoring video is sent to the query monitoring module; important campus data information is sent to a selected classroom through a data query module to be checked, and meanwhile, campus users are checked and monitored, so that the safety of the campus data information is ensured, and the campus data information is prevented from being leaked.
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 (7)
1. A big data information security management system of a smart campus is characterized by comprising a data entry module, a server, an information analysis module and an information storage module;
the data input data are used for the campus user to input campus data information and the class of the campus data information through the intelligent terminal and send the campus data information and the class to the information analysis module through the server;
the information analysis module is used for analyzing campus data information input by campus users through the intelligent terminal and the categories of the campus data information, and the specific analysis steps are as follows:
the method comprises the following steps: marking the campus data information as Ai, i is 1, … … and n; setting preset integral values corresponding to campus users as B1, B2, B3 and B4, sequentially representing the preset integral values of students, teachers, campus workers and campus leaders, wherein B1< B2< B3< B4;
step two: matching the campus user with a preset integral value corresponding to a set campus user, acquiring the preset integral value corresponding to the campus user and marking as BjAi(ii) a j ═ 1, 2, 3, and 4;
step three: setting a plurality of categories corresponding to the campus data information, wherein each category corresponds to a preset category value and is marked as Ck, and k is 1, … … and n; matching the class of the campus data information with the class corresponding to the campus data information to obtain a corresponding preset class value and marking the preset class value as CkAi；
Step four: the information analysis module generates an information security instruction and sends the information security instruction to the intelligent terminal of the campus user; the campus user receives the information security instruction through the intelligent terminal and then carries out operation processing, and the specific processing is as follows:
s1: when a campus user sends a safety increasing instruction to an information analysis module within a preset time range through an intelligent terminal, the information analysis module sends basic information of the campus user to an intelligent terminal of an auditor; after receiving the basic information of the campus user through the intelligent terminal, the auditor sends a security added value to the information analysis module through the intelligent terminal; wherein the value range of the safety increment value is one to ten;
s2: when the campus user sends other instructions or does not send instructions within a preset time range through the intelligent terminal, the safety added value is directly zero;
step five: the information analysis module marks the security increment value as DAi；
Step six: using formula GAi＝BjAi×d1+CkAi×d2+DAiObtaining an information storage value G corresponding to the campus data information by using the multiplied by d3+ Z multiplied by d4Ai(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; z is the campus value of the campus user inputting the campus data information;
step seven: the information analysis module sends the campus data information and the corresponding information storage value to the information storage module;
the information storage module is used for receiving campus data information and corresponding information storage values and performing distribution storage, and the specific distribution steps are as follows:
SS 1: the information storage module comprises a plurality of memories, wherein the memories are respectively marked as Hm, and m is 1, 2, … … and n; counting the model, the rated memory and the residual memory of the memory;
SS 2: setting a preset model value for all models of the memories, matching the models of the memories with all models of the memories to obtain corresponding preset model values, and marking the preset model values as WHm；
SS 3: the rated memory and the residual memory of the setting memory are respectively marked as U1HmAnd U2Hm；
SS 4: using formulas
Obtaining the stored value V of the memoryHm(ii) a Wherein mu is a correction factor and takes the value of 0.86589; d5, d6 and d7 are all preset proportionality coefficients;
SS 5: dividing the memory into a plurality of memory grades Fg, g being 1, … … and 10; each storage grade corresponds to a storage range; the storage range of the storage rank Fg is (f)8，f8+1]And f is1>f2>……>f11；
SS 6: when the device of the memory stores value VHmIf the memory belongs to the storage range of the storage grade Fg, the memory is marked as a memory corresponding to the storage grade Fg;
SS 7: matching an information storage value corresponding to the campus data information with a storage range of a storage level Fg, when the information storage value belongs to the storage range of the storage level Fg, acquiring a storage corresponding to the storage level Fg, selecting a storage with the largest storage value in the storage corresponding to the storage level Fg as a storage of the campus data information, and then sending the campus data information to the storage for storage;
the server also comprises a storage unit which is used for storing classroom information, user information of campus users, campus values and abnormal total values.
2. The big data information security management system for the smart campus of claim 1, wherein the campus users comprise campus students, teachers, campus staff members and campus leaders; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet computer, a desktop computer and a notebook computer.
3. The big data information security management system for the smart campus of claim 1, further comprising a data query module and a query monitor module; the data query module is used for the campus user to query the campus data information stored in the memory, and the specific query steps are as follows:
the method comprises the following steps: a campus user inputs a query keyword to a data query module through an intelligent terminal;
step two: after receiving the query keywords, the data query module carries out keyword processing on the memory in the information storage module through the query keywords and acquires corresponding campus data information;
step three: when the campus data information is stored in the memories corresponding to the storage levels F2-F10, the corresponding campus data information is directly sent to the intelligent terminals of the campus users for viewing and displaying;
step four: when the campus data information is stored in a memory corresponding to the storage level F1, acquiring a campus value of the campus user; when the campus value is smaller than a set threshold value, generating an instruction incapable of being checked and sending the instruction to the intelligent terminal of the campus user; when the campus value is larger than or equal to a set threshold value, generating a reservation viewing instruction; the data query module sends the reservation viewing instruction to the intelligent terminal of the campus user; after receiving an appointment viewing instruction through an intelligent terminal, a campus user inputs corresponding viewing time and a current position to a data query module; the data query module receives the checking time and the current position and distributes the checking time and the current position, and the specific distribution steps are as follows:
s41: acquiring a campus classroom which is not used by people on the same day to which the viewing time belongs in the campus and marking the campus classroom as a preferred classroom; the campus classroom comprises a desktop computer and a camera for monitoring the desktop computer;
s42: calculating the distance difference between the position of a school park classroom and the position of a preferred classroom to obtain the classroom distance; selecting the preferred classroom with the smallest classroom spacing as the selected classroom;
step five: the data query module sends the position of the selected classroom to an intelligent terminal of the campus user;
step six: the campus user arrives at a selected classroom at the query time and accesses the data query module through a desktop computer in the selected classroom;
step seven: the data query module sends the corresponding campus data information to a desktop computer of a selected classroom, and a campus user checks the campus data information through the desktop computer of the selected classroom; meanwhile, a camera in the classroom is selected to monitor the monitoring video of the desktop computer checked by the campus user and the monitoring video is sent to the query monitoring module.
4. The big data information security management system of the smart campus of claim 3, wherein the query monitoring module is configured to receive a monitoring video and send the monitoring video to an intelligent terminal of an auditor; the method comprises the steps that auditors check monitoring videos through intelligent terminals, corresponding abnormal scores are input according to the monitoring videos, the abnormal scores are sent to an inquiry monitoring module through the intelligent terminals, the inquiry monitoring module receives the abnormal scores of campus users and sums all the abnormal scores of the campus users to obtain the total abnormal value of the campus users; and the data query module sends the abnormal total value to the server for storage.
5. The big data information security management system of the smart campus of claim 1, further comprising a registration module and a user analysis module; the registration login module is used for the campus user to submit user information through the intelligent terminal and send the user information which is successfully registered to the server for storage; the user information comprises a user name, a mobile phone number, a belonging position and school entering time.
6. The big data information security management system of the smart campus of claim 1, further comprising a user analysis module, wherein the user analysis module is configured to obtain the user information and the abnormal total value stored in the storage unit and analyze the user information and the abnormal total value, and the specific analysis steps are as follows:
the method comprises the following steps: calculating the time difference between the time of entry of the campus user and the current time of the system to obtain the time of entry of the campus user, and recording the time as L1; the preset integral value of the campus user is Bj; setting the abnormal total value of campus users as L2;
step two: acquiring a campus value Z of the campus user by using a formula Z-L1 × d8+ Bj × d9-L2 × d10, wherein d8, d9 and d10 are all preset proportionality coefficients;
step three: and the user analysis module sends the campus value of the campus user to a storage unit in the server for updating and storing.
7. The big data information security management system for the smart campus of claim 1, further comprising a classroom collection module; the classroom acquisition module is used for acquiring classroom information of a campus classroom and sending the classroom information to the storage unit for storage; the classroom information comprises the number and the position of the campus classroom, the number of a desktop computer and the number of a camera in the campus classroom and the course arrangement data of the campus classroom.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010865471.4A CN112333420B (en) | 2020-08-25 | 2020-08-25 | Big data information security management system of smart campus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010865471.4A CN112333420B (en) | 2020-08-25 | 2020-08-25 | Big data information security management system of smart campus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112333420A true CN112333420A (en) | 2021-02-05 |
| CN112333420B CN112333420B (en) | 2022-07-22 |
Family
ID=74303688
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010865471.4A Active CN112333420B (en) | 2020-08-25 | 2020-08-25 | Big data information security management system of smart campus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112333420B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113365025A (en) * | 2021-05-08 | 2021-09-07 | 山西三友和智慧信息技术股份有限公司 | Big data-based smart campus security management platform |
| CN114298679A (en) * | 2021-12-28 | 2022-04-08 | 深圳市玄羽科技有限公司 | Industrial AI platform based on big data, application method, medium and electronic equipment thereof |
| CN115098708A (en) * | 2022-08-26 | 2022-09-23 | 深圳市纬亚森科技有限公司 | Intelligent campus remote supervision system and method based on multimedia technology |
| CN115907277A (en) * | 2023-01-09 | 2023-04-04 | 深圳市全息医疗科技有限公司 | Hospital performance intelligent review system and implementation method |
| CN116051330A (en) * | 2023-03-31 | 2023-05-02 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015180295A1 (en) * | 2014-05-28 | 2015-12-03 | 中兴通讯股份有限公司 | Education system and information interaction method therefor |
| CN106713857A (en) * | 2016-12-15 | 2017-05-24 | 重庆凯泽科技股份有限公司 | Campus security system and method based on intelligent videos |
| CN108399666A (en) * | 2018-01-12 | 2018-08-14 | 安徽安必生信息科技有限公司 | Digital Campus based on SaaS patterns manages system |
| CN110298775A (en) * | 2019-06-28 | 2019-10-01 | 江苏省盐城技师学院 | A kind of Education Administration Information System |
| CN110765478A (en) * | 2019-11-07 | 2020-02-07 | 广州深卓信息科技有限公司 | Big data information secure storage encryption system and method thereof |
| CN111292207A (en) * | 2018-12-10 | 2020-06-16 | 湖南洋达信息科技有限公司 | Campus intelligent management system based on big data idea |
| CN111339564A (en) * | 2020-03-27 | 2020-06-26 | 河北凯通信息技术服务有限公司 | Cloud service analysis management system based on big data |
-
2020
- 2020-08-25 CN CN202010865471.4A patent/CN112333420B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015180295A1 (en) * | 2014-05-28 | 2015-12-03 | 中兴通讯股份有限公司 | Education system and information interaction method therefor |
| CN106713857A (en) * | 2016-12-15 | 2017-05-24 | 重庆凯泽科技股份有限公司 | Campus security system and method based on intelligent videos |
| CN108399666A (en) * | 2018-01-12 | 2018-08-14 | 安徽安必生信息科技有限公司 | Digital Campus based on SaaS patterns manages system |
| CN111292207A (en) * | 2018-12-10 | 2020-06-16 | 湖南洋达信息科技有限公司 | Campus intelligent management system based on big data idea |
| CN110298775A (en) * | 2019-06-28 | 2019-10-01 | 江苏省盐城技师学院 | A kind of Education Administration Information System |
| CN110765478A (en) * | 2019-11-07 | 2020-02-07 | 广州深卓信息科技有限公司 | Big data information secure storage encryption system and method thereof |
| CN111339564A (en) * | 2020-03-27 | 2020-06-26 | 河北凯通信息技术服务有限公司 | Cloud service analysis management system based on big data |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113365025A (en) * | 2021-05-08 | 2021-09-07 | 山西三友和智慧信息技术股份有限公司 | Big data-based smart campus security management platform |
| CN114298679A (en) * | 2021-12-28 | 2022-04-08 | 深圳市玄羽科技有限公司 | Industrial AI platform based on big data, application method, medium and electronic equipment thereof |
| CN115098708A (en) * | 2022-08-26 | 2022-09-23 | 深圳市纬亚森科技有限公司 | Intelligent campus remote supervision system and method based on multimedia technology |
| CN115907277A (en) * | 2023-01-09 | 2023-04-04 | 深圳市全息医疗科技有限公司 | Hospital performance intelligent review system and implementation method |
| CN115907277B (en) * | 2023-01-09 | 2023-05-23 | 深圳市全息医疗科技有限公司 | Intelligent evaluation system for performance of hospital and implementation method |
| CN116051330A (en) * | 2023-03-31 | 2023-05-02 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
| CN116051330B (en) * | 2023-03-31 | 2023-10-27 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112333420B (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112333420B (en) | Big data information security management system of smart campus | |
| US20100257136A1 (en) | Data Integration and Virtual Table Management | |
| CN110727852A (en) | Method, device and terminal for pushing recruitment recommendation service | |
| CN109948995A (en) | Education Administration Information System | |
| CN113627894A (en) | Method and device for guiding college graduate employment selection based on big data and artificial intelligence | |
| CN112330270A (en) | Intelligent management system for training staff in enterprise | |
| CN109697597A (en) | A kind of E-Government customized information integrated service system | |
| CN112016935A (en) | Enterprise customer information intelligent management system based on artificial intelligence | |
| CN112396892A (en) | Interactive education system and method based on Internet | |
| CN111833221A (en) | Campus integrated management platform | |
| CN115099680B (en) | Risk management method, apparatus, device and storage medium | |
| CN108764533B (en) | School attendance system and method for predicting late arrival probability based on iris recognition | |
| CN111382977A (en) | Book purchasing method and device based on user borrowing behavior and storage medium | |
| CN111144512A (en) | Occupation guidance method and device based on EMLo pre-training model and storage medium | |
| CN114722280A (en) | User portrait based course recommendation method, device, equipment and storage medium | |
| CN115529439A (en) | Educational resource processing method, device, computer equipment and storage medium | |
| CN114971965A (en) | Student management system based on big data | |
| CN114443632A (en) | Intelligent conversion method and system for credit of credit bank and computer equipment | |
| Hai-ling et al. | Big data technology applied to learning behavior evaluation system | |
| CN114626654A (en) | Personnel training early warning analysis method based on professional skill training personnel management system | |
| Zhou | Design of medical equipment integrated management system based on Internet of Things | |
| CN114723488B (en) | Course recommendation method and device, electronic equipment and storage medium | |
| CN118052440B (en) | Information technology risk management platform | |
| CN114358702A (en) | Attendance management system based on big data and smart campus | |
| Swathi et al. | Face Detection and Managing Attendance by Using Raspberry Pi |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A big data information security management system for smart campus Effective date of registration: 20221102 Granted publication date: 20220722 Pledgee: Wenzhou Financing Guarantee Co.,Ltd. Pledgor: Tigerman Polytron Technologies Inc. Registration number: Y2022110000299 |