CN112800098A - Education management information maintenance system of education platform - Google Patents
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Abstract
The invention discloses an education management information maintenance system of an education platform, which relates to the technical field of education management information maintenance and solves the technical problem that the risk of information stealing is increased because the login of a user cannot be managed in the prior art, a login detection unit is used for analyzing and detecting the user who logs in real time, a corresponding log is established for the user corresponding to the user data in a database, the position and the frequency of the user who logs in real time are detected, if the distance between a common login position and the terminal position where the user logs in real time is not less than a distance threshold value, the login position of the user is judged to be abnormal, if the login time is abnormal, the login time is judged to be abnormal, an access prohibition signal is generated and sent to the user who logs in real time, the login is managed, and the safety performance of the system is improved, the data information in the system network is effectively protected, and the risk of information stealing is reduced.
Description
Technical Field
The invention relates to the technical field of education management information maintenance, in particular to an education management information maintenance system of an education platform.
Background
Information systems established for improving educational management functions generally refer to information systems established on the basis of electronic data processing and database technologies, and meanwhile, information system maintenance refers to modification of the systems to adapt to various changes of the environment and other factors of the systems and ensure the normal operation of the systems, including improvement of system functions and solving problems occurring during the operation of the systems;
the patent with publication number CN110807723A discloses an education platform information maintenance system, relating to the technical field of education platform maintenance, wherein a registration/login module is respectively connected with a lesson preparation module and a learning module; the lesson preparation module is respectively connected with the storage module and the learning system generation module; the learning module is respectively connected with the learning system generation module and the interactive platform; the interactive platform is connected with the storage module; the information acquisition module is respectively connected with the storage module and the modification module; the authentication module is respectively connected with the storage module and the modification module; the modification module is connected with the learning system generation module. The method can effectively ensure the stability of the updating management of the education management information, ensure that the modified content belongs to the content in the expected modification range, avoid the invasion of the content which is not consistent with the education platform, and has high stability.
However, in this patent, the user login cannot be managed, which increases the risk of information theft and reduces the security performance of the system.
Disclosure of Invention
The invention aims to provide an education management information maintenance system of an education platform, which analyzes and detects users logged in real time through a login detection unit, establishes corresponding logs for users corresponding to user data in a database, acquires login times of common login positions and abnormal user time periods, detects the positions and times of the users logged in real time, judges that the login positions of the users are abnormal if the distance between the common login positions and the terminal positions where the users log in real time is not less than a distance threshold value, judges that the login time periods of the users are abnormal if the login time periods are abnormal, generates an access prohibition signal and sends the access prohibition signal to the users logged in real time, and generates a freezing signal if the users log in again; the login is managed, so that the safety performance of the system is improved, the data information in the system network is effectively protected, the use quality of a user is improved, and the risk of information stealing is reduced;
the purpose of the invention can be realized by the following technical scheme:
an education management information maintenance system of an education platform comprises a registration login unit, a database, a management maintenance platform, a resource detection unit, a screening unit, a login detection unit and a network detection unit;
the login detection unit is used for analyzing and detecting a user who logs in real time, and the specific analysis and detection process is as follows:
step S1: acquiring user data in a database, then establishing a corresponding log for a user corresponding to the user data in the database, marking the log as a user log, acquiring all terminal login positions of the user within one month, marking the terminal login position with the highest occurrence frequency as a common login position, then acquiring the login times of the user in an abnormal time period, setting the login times of the user in the abnormal time period as a time threshold value, marking the login times as DL, storing the common login position and the login times of the user in the abnormal time period into the user log, and recording the storage time, wherein the abnormal time period is a time period from eight morning to five evening;
step S2: acquiring a terminal position logged by a real-time user, then acquiring a distance between a common login position corresponding to the user and the terminal position logged by the user in real time, if the distance between the common login position and the terminal position logged by the user in real time is more than or equal to a distance threshold value, judging that the login position of the user is abnormal, entering a step S3, and if the distance between the common login position and the terminal position logged by the user in real time is less than the distance threshold value, judging that the user is logged in normally;
step S3: acquiring a login time period of a real-time login user, if the login time period is an abnormal time period, judging that the login time period of the user is abnormal, generating an access prohibition signal and sending the access prohibition signal to the real-time login user, if the login user logs in again, freezing a login account of the user by a management maintenance platform to generate a freezing signal which is marked as a frozen user, and then sending the freezing signal to a mobile phone terminal of a manager; if the login time period is a normal time period, judging that the login time period of the user is normal, marking the login time period as a user to be checked, generating a checking signal and sending the checking signal to a mobile phone terminal of a manager;
step S4: after receiving the audit signal and the freezing signal, the manager sends the unfreezing measure to the mobile phone terminal of the corresponding user, carries out voice audit on the user to be audited, after the audit is passed, the corresponding user is allowed to access and the access time set for the corresponding user is allowed, after the access time is over, the management maintenance platform generates an access prohibition signal of the corresponding user, the unfreezing measure is that the freezing user carries out face audit through the terminal at a common login position and in a normal time period, the face audit is the prior art which is disclosed, and the voice audit is that the manager sends the verification problem to the user terminal in a voice mode.
Further, the resource detection unit is configured to analyze education resource information of each school, so as to detect education resources of each school, where the education resource information includes student data, teacher data, and facility data, the student data is a ratio of the number of local students in each grade of the school to the number of students in other places, the teacher data is an average religion year of a teacher in each grade of the school, the facility data is a sum of the number of physical education facilities set by the school and the number of experimental facilities, the school is marked as i, i is 1, 2, … …, n, n is a positive integer, and a specific analysis and detection process is as follows:
step one, acquiring the ratio of the number of local students in each grade of a school to the number of non-local students, and marking the ratio of the number of local students in each grade of the school to the number of non-local students as Bi;
acquiring the average religion age of teachers in all grades of the school, and marking the average religion age of the teachers in all grades of the school as Ni;
step three, acquiring the sum of the number of sports facilities and the number of test facilities set by the school, and marking the sum of the number of sports facilities and the number of test facilities set by the school as Si;
step four, passing through a formula
Obtaining education resource detection coefficients Xi of each school, wherein a1, a2 and a3 are all proportional coefficients, a1 is larger than a2 is larger than a3 is larger than 0, and beta is an error correction factor and is 2.3654123;
and fifthly, sequencing the education resource detection coefficients Xi of all schools from large to small, sequencing the corresponding schools according to the sequencing sequence of the education resource detection coefficients Xi, and sending the sequenced school names to a database for storage.
Further, the screening unit is used for screening school locations in the community, and the specific analysis and screening process is as follows:
step SS 1: dividing a community into a plurality of areas, marking the areas as o, o as 1, 2, … …, m and m as positive integers, obtaining education resource coefficients of schools in each area, marking the education resource coefficients of the schools in each area as Xio, then comparing the education resource coefficients Xio of the schools in each area with education resource coefficient threshold values, if the education resource coefficients Xio of the schools are more than or equal to the education resource coefficient threshold values, judging that the schools are in proper positions, if the education resource coefficients Xio of the schools are less than the education resource coefficient threshold values, judging that the schools are in improper positions, and marking the areas as areas with positions needing to be screened;
step SS 2: selecting a plurality of position points in a position to be screened area, marking the position points as u, u as 1, 2, … …, k and k as positive integers, then marking the position points as Wu, and acquiring education information of the position points, wherein the education information comprises population data, age data and distance data, the population data represents the frequent population around the position points, the age data represents the average age of students living around the position points, and the distance data represents the average position of the position points from the area living around the position points;
step SS 3: acquiring the frequent residential population around the position point, and marking the frequent residential population around the position point as Jv;
step SS 4: acquiring the average age of students living around the position point, and marking the average age of students living around the position point as Nv;
step SS 5: acquiring the average position of the position point from the peripheral residential area, and marking the average position of the position point from the peripheral residential area as Wv;
step SS 6: by the formula
Obtaining a screening coefficient XV of a position point, wherein b1, b2 and b3 are proportional coefficients, b1 is greater than b2 is greater than b3 is greater than 0, and alpha is an error correction factor and is 2.3654123;
step SS 7: comparing the screening coefficient Xv of the position point with the screening coefficient threshold of the position point:
if the screening coefficient XV of the position points is not less than the screening coefficient threshold of the position points, judging that the position points are in line, sorting the screening coefficients of the position points in a descending order, marking the position point with the first rank as a selected position point, and sending the selected position point to a database for storage;
and if the screening coefficient XV of the position point is less than the screening coefficient threshold value of the position point, judging that the position point does not accord with the screening coefficient, and marking as a non-accord position point.
Further, the network detection unit is configured to analyze network information to detect a network, where the network information includes a maximum number of supported visitors, a maximum supported visit duration, and a network response speed in the system network, and the specific analysis and detection process includes:
step L1: acquiring the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network, and respectively marking the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network as RS, SC and SV;
step L2: by the formula
Acquiring a detection coefficient WL of the network, wherein h1, h2 and h3 are all proportional coefficients, and h1 is greater than h2 is greater than h3 is greater than 0;
step L3: comparing the detection coefficient WL of the network with a detection coefficient threshold:
if the detection coefficient WL of the network is larger than or equal to the detection coefficient threshold, judging that the system network is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager;
and if the detection coefficient WL of the network is less than the detection coefficient threshold value, judging that the system network is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a manager.
Further, the registration login unit is used for the user and the manager to submit user information and manager information for registration through the mobile phone terminal, and send the user information and the manager information which are successfully registered to the database for storage, wherein the user information comprises the name, the age, the position of the user and the mobile phone number for authenticating the real name of the person, and the manager information comprises the name, the age, the position of the manager and the mobile phone number for authenticating the real name of the person.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a login detection unit is used for analyzing and detecting a user who logs in real time, a corresponding log is established for the user corresponding to user data in a database, a common login position and the login times of the user in an abnormal time period are obtained, the position and the times of the user who logs in real time are detected, if the distance between the common login position and the terminal position where the user logs in real time is not less than a distance threshold value, the login position of the user is judged to be abnormal, if the login time period is the abnormal time period, the login time period of the user is judged to be abnormal, an access prohibition signal is generated and sent to the user who logs in real time, and if the user logs in again, a management maintenance platform freezes the login account of the user to; the login is managed, so that the safety performance of the system is improved, the data information in the system network is effectively protected, the use quality of a user is improved, and the risk of information stealing is reduced;
2. in the invention, the network information is analyzed by a network detection unit so as to detect the network, the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network are obtained, the detection coefficient WL of the network is obtained by a formula, and the detection coefficient WL of the network is compared with the detection coefficient threshold value: if the detection coefficient WL of the network is larger than or equal to the detection coefficient threshold, judging that the system network is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager; if the detection coefficient WL of the network is smaller than the detection coefficient threshold, judging that the system network is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a manager; the network is detected, information loss caused by network paralysis is prevented, the working efficiency of the system is improved, and the risk of failure is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
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.
As shown in fig. 1, an education management information maintenance system of an education platform includes a registration login unit, a database, a management maintenance platform, a resource detection unit, a screening unit, a login detection unit, and a network detection unit;
the registration login unit is used for submitting user information and manager information for registration through a mobile phone terminal by a user and a manager, and sending the user information and the manager information which are successfully registered to a database for storage, wherein the user information comprises the name, the age, the position of the user and the mobile phone number for real name authentication of the user, and the manager information comprises the name, the age, the position of the manager and the mobile phone number for real name authentication of the user;
the resource detecting unit is used for analyzing education resource information of each school, so as to detect education resources of each school, the education resource information comprises student data, teacher data and facility data, the student data are ratios of the number of local students in each grade of the school to the number of students in other places, the teacher data are average religion years of teachers in each grade of the school, the facility data are sum of the number of sports facilities and the number of experimental facilities set by the school, the school is marked as i, i is 1, 2, … …, n and n is a positive integer, and the specific analysis and detection process is as follows:
step one, acquiring the ratio of the number of local students in each grade of a school to the number of non-local students, and marking the ratio of the number of local students in each grade of the school to the number of non-local students as Bi;
acquiring the average religion age of teachers in all grades of the school, and marking the average religion age of the teachers in all grades of the school as Ni;
step three, acquiring the sum of the number of sports facilities and the number of test facilities set by the school, and marking the sum of the number of sports facilities and the number of test facilities set by the school as Si;
step four, passing through a formula
Obtaining education resource detection coefficients Xi of various schools, wherein a1, a2 and a3 are all ratiosThe example coefficient is a1 & gta 2 & gta 3 & gt0, and beta is an error correction factor and is 2.3654123;
step five, sequencing the education resource detection coefficients Xi of all schools from big to small, then sequencing the corresponding schools according to the sequencing sequence of the education resource detection coefficients Xi, and then sending the sequenced school names to a database for storage;
the screening unit is used for screening school positions in the community, and the specific analysis and screening process is as follows:
step SS 1: dividing a community into a plurality of areas, marking the areas as o, o as 1, 2, … …, m and m as positive integers, obtaining education resource coefficients of schools in each area, marking the education resource coefficients of the schools in each area as Xio, then comparing the education resource coefficients Xio of the schools in each area with education resource coefficient threshold values, if the education resource coefficients Xio of the schools are more than or equal to the education resource coefficient threshold values, judging that the schools are in proper positions, if the education resource coefficients Xio of the schools are less than the education resource coefficient threshold values, judging that the schools are in improper positions, and marking the areas as areas with positions needing to be screened;
step SS 2: selecting a plurality of position points in a position to be screened area, marking the position points as u, u as 1, 2, … …, k and k as positive integers, then marking the position points as Wu, and acquiring education information of the position points, wherein the education information comprises population data, age data and distance data, the population data represents the frequent population around the position points, the age data represents the average age of students living around the position points, and the distance data represents the average position of the position points from the area living around the position points;
step SS 3: acquiring the frequent residential population around the position point, and marking the frequent residential population around the position point as Jv;
step SS 4: acquiring the average age of students living around the position point, and marking the average age of students living around the position point as Nv;
step SS 5: acquiring the average position of the position point from the peripheral residential area, and marking the average position of the position point from the peripheral residential area as Wv;
step SS 6: by the formula
Obtaining a screening coefficient XV of a position point, wherein b1, b2 and b3 are proportional coefficients, b1 is greater than b2 is greater than b3 is greater than 0, and alpha is an error correction factor and is 2.3654123;
step SS 7: comparing the screening coefficient Xv of the position point with the screening coefficient threshold of the position point:
if the screening coefficient XV of the position points is not less than the screening coefficient threshold of the position points, judging that the position points are in line, sorting the screening coefficients of the position points in a descending order, marking the position point with the first rank as a selected position point, and sending the selected position point to a database for storage;
if the screening coefficient XV of the position point is less than the screening coefficient threshold value of the position point, judging that the position point is not matched, and marking as a non-matched position point;
the login detection unit is used for analyzing and detecting a user who logs in real time, and the specific analysis and detection process is as follows:
step S1: acquiring user data in a database, then establishing a corresponding log for a user corresponding to the user data in the database, marking the log as a user log, acquiring all terminal login positions of the user within one month, marking the terminal login position with the highest occurrence frequency as a common login position, then acquiring the login times of the user in an abnormal time period, setting the login times of the user in the abnormal time period as a time threshold value, marking the login times as DL, storing the common login position and the login times of the user in the abnormal time period into the user log, and recording the storage time, wherein the abnormal time period is a time period from eight morning to five evening;
step S2: acquiring a terminal position logged by a real-time user, then acquiring a distance between a common login position corresponding to the user and the terminal position logged by the user in real time, if the distance between the common login position and the terminal position logged by the user in real time is more than or equal to a distance threshold value, judging that the login position of the user is abnormal, entering a step S3, and if the distance between the common login position and the terminal position logged by the user in real time is less than the distance threshold value, judging that the user is logged in normally;
step S3: acquiring a login time period of a real-time login user, if the login time period is an abnormal time period, judging that the login time period of the user is abnormal, generating an access prohibition signal and sending the access prohibition signal to the real-time login user, if the login user logs in again, freezing a login account of the user by a management maintenance platform to generate a freezing signal which is marked as a frozen user, and then sending the freezing signal to a mobile phone terminal of a manager; if the login time period is a normal time period, judging that the login time period of the user is normal, marking the login time period as a user to be checked, generating a checking signal and sending the checking signal to a mobile phone terminal of a manager;
step S4: after receiving the audit signal and the freezing signal, a manager sends a thawing measure to a mobile phone terminal of a corresponding user, performs voice audit on the user to be audited, after the audit is passed, the corresponding user is allowed to access and access time set for the corresponding user is set, after the access time is over, a management maintenance platform generates an access prohibition signal of the corresponding user, the thawing measure is that the freezing user performs face audit through the terminal at a common login position and in a normal time period, the face audit is the prior art which is disclosed, and the voice audit is that the manager sends a verification problem to the user terminal in a voice form;
the network detection unit is used for analyzing network information to detect the network, wherein the network information comprises the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network, and the specific analysis and detection process comprises the following steps:
step L1: acquiring the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network, and respectively marking the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network as RS, SC and SV;
step L2: by the formula
Acquiring a detection coefficient WL of the network, wherein h1, h2 and h3 are all proportional coefficients, and h1 is greater than h2 is greater than h3 is greater than 0;
step L3: comparing the detection coefficient WL of the network with a detection coefficient threshold:
if the detection coefficient WL of the network is larger than or equal to the detection coefficient threshold, judging that the system network is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager;
and if the detection coefficient WL of the network is less than the detection coefficient threshold value, judging that the system network is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
the utility model provides an education management information maintenance system of education platform, at the during operation, through network detecting element analysis network information to detect the network, obtain the maximum number of visitors that support in the system network, the longest support visit duration and the network response speed, obtain the detection coefficient WL of network through the formula, compare the detection coefficient WL and the detection coefficient threshold value of network: if the detection coefficient WL of the network is larger than or equal to the detection coefficient threshold, judging that the system network is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager; if the detection coefficient WL of the network is smaller than the detection coefficient threshold, judging that the system network is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a manager;
analyzing and detecting a user who logs in real time through a login detection unit, establishing a corresponding log for the user corresponding to user data in a database, acquiring a common login position and login times of the user in an abnormal time period, detecting the position and the times of the user who logs in real time, judging that the login position of the user is abnormal if the distance between the common login position and the terminal position where the user logs in real time is larger than or equal to a distance threshold value, judging that the login position of the user is abnormal if the login time period is the abnormal time period, generating an access prohibition signal, sending the access prohibition signal to the user who logs in real time, and freezing the login account of the user to generate a freezing signal if the user logs in again; the login is managed, so that the safety performance of the system is improved, the data information in the system network is effectively protected, the use quality of the user is improved, and the risk of information stealing is reduced.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An education management information maintenance system of an education platform is characterized by comprising a registration login unit, a database, a management maintenance platform, a resource detection unit, a screening unit, a login detection unit and a network detection unit;
the login detection unit is used for analyzing and detecting a user who logs in real time, and the specific analysis and detection process is as follows:
step S1: acquiring user data in a database, then establishing a corresponding log for a user corresponding to the user data in the database, marking the log as a user log, acquiring all terminal login positions of the user within one month, marking the terminal login position with the highest occurrence frequency as a common login position, then acquiring the login times of the user in an abnormal time period, setting the login times of the user in the abnormal time period as a time threshold value, marking the login times as DL, storing the common login position and the login times of the user in the abnormal time period into the user log, and recording the storage time, wherein the abnormal time period is a time period from eight morning to five evening;
step S2: acquiring a terminal position logged by a real-time user, then acquiring a distance between a common login position corresponding to the user and the terminal position logged by the user in real time, if the distance between the common login position and the terminal position logged by the user in real time is more than or equal to a distance threshold value, judging that the login position of the user is abnormal, entering a step S3, and if the distance between the common login position and the terminal position logged by the user in real time is less than the distance threshold value, judging that the user is logged in normally;
step S3: acquiring a login time period of a real-time login user, if the login time period is an abnormal time period, judging that the login time period of the user is abnormal, generating an access prohibition signal and sending the access prohibition signal to the real-time login user, if the login user logs in again, freezing a login account of the user by a management maintenance platform to generate a freezing signal which is marked as a frozen user, and then sending the freezing signal to a mobile phone terminal of a manager; if the login time period is a normal time period, judging that the login time period of the user is normal, marking the login time period as a user to be checked, generating a checking signal and sending the checking signal to a mobile phone terminal of a manager;
step S4: after receiving the auditing signal and the freezing signal, the manager sends the unfreezing measure to the mobile phone terminal of the corresponding user, performs voice auditing on the user to be audited, after the auditing is passed, the corresponding user is allowed to access and the access time set for the corresponding user is allowed, after the access time is over, the management maintenance platform generates an access prohibition signal of the corresponding user, the unfreezing measure is that the freezing user performs face auditing through the terminal at a common login position and in a normal time period, and the voice auditing means that the manager sends the verification problem to the user terminal in a voice mode.
2. The system for maintaining education management information of an education platform according to claim 1, wherein the resource detection unit is configured to analyze education resource information of each school to detect education resources of each school, the education resource information includes student data, teacher data and facility data, the student data is a ratio of the number of local students in each grade of the school to the number of non-local students, the teacher data is an average education year of teachers in each grade of the school, the facility data is a sum of the number of physical education facilities set in the school and the number of experimental facilities, the school is labeled as i, i is 1, 2, … …, n, n is a positive integer, and the specific analysis and detection processes are as follows:
step one, acquiring the ratio of the number of local students in each grade of a school to the number of non-local students, and marking the ratio of the number of local students in each grade of the school to the number of non-local students as Bi;
acquiring the average religion age of teachers in all grades of the school, and marking the average religion age of the teachers in all grades of the school as Ni;
step three, acquiring the sum of the number of sports facilities and the number of test facilities set by the school, and marking the sum of the number of sports facilities and the number of test facilities set by the school as Si;
step four, passing through a formula
Obtaining education resource detection coefficients Xi of each school, wherein a1, a2 and a3 are all proportional coefficients, a1 is larger than a2 is larger than a3 is larger than 0, and beta is an error correction factor and is 2.3654123;
and fifthly, sequencing the education resource detection coefficients Xi of all schools from large to small, sequencing the corresponding schools according to the sequencing sequence of the education resource detection coefficients Xi, and sending the sequenced school names to a database for storage.
3. The system of claim 1, wherein the screening unit is configured to screen school locations in the community, and the specific analysis and screening process is as follows:
step SS 1: dividing a community into a plurality of areas, marking the areas as o, o as 1, 2, … …, m and m as positive integers, obtaining education resource coefficients of schools in each area, marking the education resource coefficients of the schools in each area as Xio, then comparing the education resource coefficients Xio of the schools in each area with education resource coefficient threshold values, if the education resource coefficients Xio of the schools are more than or equal to the education resource coefficient threshold values, judging that the schools are in proper positions, if the education resource coefficients Xio of the schools are less than the education resource coefficient threshold values, judging that the schools are in improper positions, and marking the areas as areas with positions needing to be screened;
step SS 2: selecting a plurality of position points in a position to be screened area, marking the position points as u, u as 1, 2, … …, k and k as positive integers, then marking the position points as Wu, and acquiring education information of the position points, wherein the education information comprises population data, age data and distance data, the population data represents the frequent population around the position points, the age data represents the average age of students living around the position points, and the distance data represents the average position of the position points from the area living around the position points;
step SS 3: acquiring the frequent residential population around the position point, and marking the frequent residential population around the position point as Jv;
step SS 4: acquiring the average age of students living around the position point, and marking the average age of students living around the position point as Nv;
step SS 5: acquiring the average position of the position point from the peripheral residential area, and marking the average position of the position point from the peripheral residential area as Wv;
step SS 6: by the formula
Obtaining a screening coefficient XV of a position point, wherein b1, b2 and b3 are proportional coefficients, b1 is greater than b2 is greater than b3 is greater than 0, and alpha is an error correction factor and is 2.3654123;
step SS 7: comparing the screening coefficient Xv of the position point with the screening coefficient threshold of the position point:
if the screening coefficient XV of the position points is not less than the screening coefficient threshold of the position points, judging that the position points are in line, sorting the screening coefficients of the position points in a descending order, marking the position point with the first rank as a selected position point, and sending the selected position point to a database for storage;
and if the screening coefficient XV of the position point is less than the screening coefficient threshold value of the position point, judging that the position point does not accord with the screening coefficient, and marking as a non-accord position point.
4. The system of claim 1, wherein the network detection unit is configured to analyze network information to detect the network, the network information includes a maximum number of visitors supported in the system network, a maximum access duration supported in the system network, and a response speed of the system network, and the analysis and detection process includes:
step L1: acquiring the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network, and respectively marking the maximum number of supported visitors, the longest supported visit duration and the network response speed in the system network as RS, SC and SV;
step L2: by the formula
Acquiring a detection coefficient WL of the network, wherein h1, h2 and h3 are all proportional coefficients, and h1 is greater than h2 is greater than h3 is greater than 0;
step L3: comparing the detection coefficient WL of the network with a detection coefficient threshold:
if the detection coefficient WL of the network is larger than or equal to the detection coefficient threshold, judging that the system network is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager;
and if the detection coefficient WL of the network is less than the detection coefficient threshold value, judging that the system network is abnormal, generating an abnormal signal and sending the abnormal signal to a mobile phone terminal of a manager.
5. The system for maintaining educational management information of an educational platform according to claim 1, wherein the registration login unit is configured to allow the user and the manager to submit user information and manager information via a mobile phone terminal for registration, and send the user information and the manager information that are successfully registered to the database for storage, the user information includes a name, an age, a position of the user and a mobile phone number for personal real name authentication, and the manager information includes a name, an age, a position of the manager and a mobile phone number for personal real name authentication.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202213A (en) * | 2021-12-15 | 2022-03-18 | 建信金融科技(苏州)有限公司 | Education resource supervision system |
| CN115333816A (en) * | 2022-08-03 | 2022-11-11 | 苏州市职业大学 | Method for identifying internet traffic of ipv6 campus network |
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2021
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202213A (en) * | 2021-12-15 | 2022-03-18 | 建信金融科技(苏州)有限公司 | Education resource supervision system |
| CN115333816A (en) * | 2022-08-03 | 2022-11-11 | 苏州市职业大学 | Method for identifying internet traffic of ipv6 campus network |
| CN115333816B (en) * | 2022-08-03 | 2024-05-31 | 苏州市职业大学 | Method for identifying internet traffic of ipv6 campus |
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Application publication date: 20210514 |