CN114444984B - Remote education-based school internal and external management system - Google Patents
Remote education-based school internal and external management system Download PDFInfo
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Abstract
The invention discloses an internal and external school management system based on remote education, belongs to the field of internal and external school platforms, relates to the remote education management technology, and is used for solving the problems that the internal and external school platforms are low in management efficiency and cannot comprehensively manage the platforms; the remote education of the internal and external platforms of the school is subjected to real-time quality analysis, the real-time quality of the current remote education is judged, so that the working efficiency of the remote quality is analyzed, the management efficiency of the internal and external platforms of the school is improved, the operation states of the internal and external platforms of the school are analyzed, and whether the education operation of the internal and external platforms of the school is qualified or not is judged, so that the management intensity of the internal and external platforms of the school is effectively improved, the operation of the internal and external platforms of the school can be reasonably monitored and optimized, and the working efficiency of the internal and external platforms of the school is indirectly improved; and analyzing the safety of the corresponding school interior and exterior platforms, thereby analyzing whether the school interior and exterior platforms have safety risks.
Description
Technical Field
The invention belongs to the field of school internal and external platforms, relates to a remote education management technology, and particularly relates to a school internal and external management system based on remote education.
Background
The intelligent education platform is an internet education platform for the education of primary and secondary schools inside and outside schools, takes quality education and extraclass tutoring as carriers, is a communication platform specially created for primary and secondary schools and kindergartens in China, records the growth footmarks of children, and communicates the interior and the exterior of the school. The teacher, the student and the parent can use the mobile phone or the computer to access the network platform inside and outside the school, and can jointly record and share the drips of the children inside and outside the classroom and inside and outside the school in the forms of characters, pictures, voice, videos and the like at any time and any place, so that the file record of the most real, comprehensive, vivid and full growth process is formed and permanently stored. The growth file not only leaves a section of most precious memories for the children, but also enables teachers and parents to better understand each step of the growth of the children and discover the potential and the speciality of the children as soon as possible, thereby effectively guiding learning and teaching.
In the prior art, the management efficiency of platforms inside and outside a school is low, the platform management cannot be comprehensively carried out, the quality of remote education of platforms inside and outside the school and the platform operation cannot be monitored and analyzed in real time, the efficiency of the platforms is low, the use quality of users cannot be guaranteed, and therefore the management system outside the school based on the remote education is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an internal and external school management system based on remote education, which analyzes the real-time quality of the remote education of internal and external school platforms in real time and judges the real-time quality of the current remote education, thereby analyzing the working efficiency of the remote quality, improving the management efficiency of the internal and external school platforms, analyzing the operation states of the internal and external school platforms and judging whether the education operation of the internal and external school platforms is qualified or not, thereby effectively improving the management intensity of the internal and external school platforms and reasonably monitoring and optimizing the operation of the internal and external school platforms.
The purpose of the invention can be realized by the following technical scheme:
a school internal and external management system based on remote education comprises a server, wherein the server is in communication connection with a remote quality analysis unit, an operation analysis unit and a safety analysis unit;
the server generates a remote quality analysis signal and sends the remote quality analysis signal to the remote quality analysis unit, and the remote quality analysis unit performs real-time quality analysis on remote education of platforms inside and outside schools after receiving the remote quality analysis signal; generating a quality analysis normal signal and a quality analysis abnormal signal through real-time quality analysis, and sending the quality analysis normal signal and the quality analysis abnormal signal to a server;
the server generates an operation analysis signal and sends the operation analysis signal to the operation analysis unit after receiving the quality analysis normal signal, and the operation analysis unit analyzes the operation state of the internal and external platforms after receiving the operation analysis signal; generating an unqualified operation signal and a qualified operation signal through operation state analysis, and sending the unqualified operation signal and the qualified operation signal to the server;
after receiving the qualified operation signal, the server generates a safety analysis signal and sends the safety analysis signal to a safety analysis unit, and after receiving the safety analysis signal, the safety analysis unit analyzes the safety of the corresponding school internal and external platforms; and generating a safety abnormal signal and a safety normal signal through safety analysis.
Further, the remote education quality analysis process of the remote quality analysis unit is as follows:
marking the time period of remote education of the internal and external platforms as a quality analysis time period, collecting the buffering time of remote education of the internal and external platforms in the quality analysis time period and the frequency of occurrence of pause in the remote education process, and comparing the buffering time of remote education of the internal and external platforms in the quality analysis time period and the frequency of occurrence of pause in the remote education process with a buffering time threshold and a pause frequency threshold respectively:
if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period exceeds the buffering time threshold, or the frequency of stutter occurring in the remote education process exceeds the stutter frequency threshold, judging that the corresponding remote education quality analysis is unqualified, generating a quality analysis abnormal signal and sending the quality analysis abnormal signal to a server; and if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period does not exceed the buffering time threshold and the frequency of stutter occurring in the remote education process does not exceed the stutter frequency threshold, judging that the quality analysis of the corresponding remote education is qualified, generating a quality analysis normal signal and sending the quality analysis normal signal to the server.
Further, the operation analysis process of the operation analysis unit is as follows:
collecting the operation time periods of the internal and external platforms of the school, dividing the collected operation time periods into i sub time periods, wherein i is a natural number greater than 1, collecting the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number in each sub time period, and respectively marking the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number as SLi and SDi; acquiring the corresponding growth frequency of the highest online population of the internal and external school platforms in each sub-time period, and marking the corresponding growth frequency of the highest online population of the internal and external school platforms in each sub-time period as PLi;
by the formula
Obtaining school internal and external platform transportation in sub-time periodThe analysis coefficient Xi is a preset proportionality coefficient a1, a2 and a3, wherein a1 is more than a2 and is more than a3 and is more than 0; and comparing the operation analysis coefficient Xi of the platform inside and outside the school in the sub-time period with an operation analysis coefficient threshold value.
Further, the comparison process between the operation analysis coefficient Xi of the school internal and external platforms in the sub-time period and the operation analysis coefficient threshold is as follows:
if the operation analysis coefficient Xi of the intra-school platform and the inter-school platform in the sub-time period exceeds the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is qualified, and marking the corresponding sub-time period as an operation qualified sub-time period; if the operation analysis coefficient Xi of the school internal and external platforms in the sub-time period does not exceed the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is unqualified, and marking the corresponding sub-time period as an operation unqualified grid time period;
analyzing the operation time periods, if the number of the operation grid closing time periods in the operation time periods exceeds the number of the operation grid failing time periods, and the number of the operation grid failing time periods does not exceed a corresponding number threshold, judging that the operation of the internal and external platforms of the school is qualified, generating qualified operation signals and sending the qualified operation signals to the server; and if the number of the operation qualified sub-time periods in the operation time period does not exceed the number of the operation unqualified time periods, or the number of the operation unqualified time periods exceeds a corresponding number threshold, judging that the operation of the internal and external platforms is unqualified, generating an unqualified operation signal and sending the unqualified operation signal to the server.
Further, the security analysis process of the security analysis unit is as follows:
acquiring non-user browsing frequency of corresponding storage data of user accounts in the internal and external platforms of the school and a corresponding occupied memory floating value of the storage data of the user accounts, and comparing the non-user browsing frequency of the corresponding storage data of the user accounts in the internal and external platforms of the school and the corresponding occupied memory floating value of the storage data of the user accounts with a browsing frequency threshold value and a memory floating value threshold value respectively:
if the non-user browsing frequency of the data stored by the user account numbers in the school internal and external platforms exceeds a browsing frequency threshold value, or the floating value of the memory occupied by the data stored by the user account numbers exceeds a floating value threshold value of the memory, judging that the security analysis of the school internal and external platforms is abnormal, generating a security abnormal signal and sending the security abnormal signal to a server; if the non-user browsing frequency of the data stored by the user account in the school internal and external platforms does not exceed the browsing frequency threshold value, and the floating value of the memory occupied by the data stored by the user account does not exceed the floating value threshold value of the memory, the safety analysis of the school internal and external platforms is judged to be normal, a safety normal signal is generated, and the safety normal signal is sent to the server.
Furthermore, the server is also in communication connection with a transmission monitoring unit, the transmission monitoring unit is used for monitoring the transmission performance of the remote education of the school interior and exterior platforms, normal transmission signals, transmission misalignment signals or transmission error signals are monitored and fed back to the school interior and exterior platforms, and the school interior and exterior platforms judge the transmission performance according to the signals.
Further, the monitoring process of the transmission monitoring unit is specifically as follows:
the method comprises the following steps: the method comprises the steps of obtaining the education duration of remote education, randomly selecting a period of time within the education duration, and setting the period of time as a transmission monitoring period;
step two: optionally selecting a time point in a transmission monitoring period, and acquiring education audio of a transmission end and education audio of a receiving end in the selected time point, and recording the education audio as transmission audio and receiving audio;
step three: converting the transmission audio and the reception audio into a transmission audio map and a reception audio map;
step four: superposing the transmission audio diagram and the receiving audio diagram to obtain a crossing number JS and a crossing area JM of the transmission audio diagram and the receiving audio diagram;
step five: substituting the intersection number JS and the intersection area JM into a calculation formula to calculate a transmission deviation value CP of the transmission audio image and the reception audio image, wherein the calculation formula is as follows:
step six: selecting a plurality of time points within a transmission monitoring period, acquiring real-time network speed values of the internal and external platforms of the school at the plurality of time points, adding the real-time network speed values of the time points, summing and averaging to obtain a network speed average value of the internal and external platforms of the school; acquiring standard network speed values of the internal and external platforms, if the network speed mean value is greater than or equal to the standard network speed value, not performing any operation, and if the network speed mean value is less than the standard network speed value, calculating a difference value between the network speed mean value and the standard network speed value and taking an absolute value to obtain a network speed difference value WSC;
step seven: substituting the network speed difference value and the transmission deviation value into a formula CY = CP multiplied by alpha + WSC multiplied by beta to calculate a transmission abnormal value CY of the internal and external platforms; in the formula, both alpha and beta are weight coefficients with fixed numerical values, and the values of both alpha and beta are greater than zero;
step eight: if CY is less than X1, generating a normal transmission signal;
if X1 is not less than CY and less than X2, generating a transmission misalignment signal;
if X2 is less than or equal to CY, generating a transmission error signal; wherein, X1 and X2 are both transmission abnormity threshold values, and X1 < X2.
Compared with the prior art, the invention has the beneficial effects that:
according to the remote education management method, the remote education of the internal and external platforms of the school is subjected to real-time quality analysis, the real-time quality of the current remote education is judged, so that the working efficiency of the remote quality is analyzed, the management efficiency of the internal and external platforms of the school is improved, the operation states of the internal and external platforms of the school are analyzed, and whether the education operation of the internal and external platforms of the school is qualified or not is judged, so that the management intensity of the internal and external platforms of the school is effectively improved, the operation of the internal and external platforms of the school can be reasonably monitored and optimized, and the working efficiency of the internal and external platforms of the school is indirectly improved; the safety of the corresponding school internal and external platforms is analyzed, so that whether the safety risk exists in the school internal and external platforms is analyzed, the supervision of the corresponding school internal and external platforms is improved, and the efficiency of the school internal and external operation and the use quality of users are enhanced.
Drawings
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 an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intra-school and out-school management system based on remote education includes a server, the server is connected with a remote quality analysis unit, an operation analysis unit and a security analysis unit in a communication manner, wherein the server is connected with the remote quality analysis unit, the operation analysis unit and the security analysis unit in a bidirectional communication manner;
the remote quality analysis unit receives the remote quality analysis signal, performs real-time quality analysis on remote education of platforms inside and outside the school, and judges the real-time quality of the current remote education, so that the working efficiency of the remote quality is analyzed, the management efficiency of the platforms inside and outside the school is improved, and the specific remote education quality analysis process is as follows:
marking the time period of remote education of the internal and external platforms as a quality analysis time period, acquiring the buffering time of the remote education of the internal and external platforms in the quality analysis time period and the frequency of pause in the remote education process, and comparing the buffering time of the remote education of the internal and external platforms in the quality analysis time period and the frequency of pause in the remote education process with a buffering time threshold and a pause frequency threshold respectively:
if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period exceeds the buffering time threshold, or the frequency of stutter occurring in the remote education process exceeds the stutter frequency threshold, judging that the corresponding remote education quality analysis is unqualified, generating a quality analysis abnormal signal and sending the quality analysis abnormal signal to a server; if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period does not exceed the buffering time threshold and the frequency of stutter occurring in the remote education process does not exceed the stutter frequency threshold, judging that the quality analysis of the corresponding remote education is qualified, generating a quality analysis normal signal and sending the quality analysis normal signal to the server;
after the server receives the quality analysis abnormal signal, detecting the local area network corresponding to the school internal and external platforms, and increasing the network speed of the corresponding local area network; after the server receives the normal signal of quality analysis, generate operation analysis signal and with operation analysis signal transmission to operation analysis unit, operation analysis unit receives operation analysis signal after, carries out the analysis with the operation state of interior platform of school, judges whether the education operation of interior platform of current school is qualified, thereby effectively improve the management dynamics of interior platform of school, can carry out reasonable monitoring and optimization to its operation, the indirect work efficiency who has improved interior platform of school, concrete operation analysis process is as follows:
collecting the operation time periods of the internal and external platforms of the school, dividing the collected operation time periods into i sub time periods, wherein i is a natural number greater than 1, collecting the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number in each sub time period, and respectively marking the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number as SLi and SDi; acquiring the corresponding growth frequency of the highest online population of the internal and external school platforms in each sub-time period, and marking the corresponding growth frequency of the highest online population of the internal and external school platforms in each sub-time period as PLi;
by the formula
Obtaining operation analysis coefficients Xi of the school interior and exterior platforms in the sub-time period, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0(ii) a Comparing the operation analysis coefficient Xi of the platform inside and outside the school in the sub-time period with an operation analysis coefficient threshold value:
if the operation analysis coefficient Xi of the platform inside and outside the school in the sub-time period exceeds the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is qualified, and marking the corresponding sub-time period as an operation qualified sub-time period; if the operation analysis coefficient Xi of the school internal and external platforms in the sub-time period does not exceed the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is unqualified, and marking the corresponding sub-time period as an operation unqualified grid time period;
analyzing the operation time periods, if the number of the operation grid closing time periods in the operation time periods exceeds the number of the operation grid failing time periods, and the number of the operation grid failing time periods does not exceed a corresponding number threshold, judging that the operation of the internal and external platforms of the school is qualified, generating qualified operation signals and sending the qualified operation signals to the server; if the number of the operation qualified sub-time periods in the operation time period does not exceed the number of the operation unqualified time periods, or the number of the operation unqualified time periods exceeds a corresponding number threshold, judging that the operation of the internal and external platforms is unqualified, generating an unqualified operation signal and sending the unqualified operation signal to a server;
after receiving the unqualified operation signals, the server performs rectification on the corresponding school internal and external platforms, and analyzes and rectifies the propaganda types and the user quality of the school internal and external platforms; after the server receives qualified operation signals, a safety analysis signal is generated and sent to a safety analysis unit, the safety analysis unit analyzes the safety of the platform inside and outside the school after receiving the safety analysis signal, and therefore whether the platform inside and outside the school has safety risks or not is analyzed, the supervision of the platform inside and outside the school is correspondingly improved, the high efficiency of operation inside and outside the school and the use quality of a user are enhanced, and the specific safety analysis process is as follows:
acquiring non-user browsing frequency of corresponding storage data of user accounts in the internal and external platforms of the school and a corresponding occupied memory floating value of the storage data of the user accounts, and comparing the non-user browsing frequency of the corresponding storage data of the user accounts in the internal and external platforms of the school and the corresponding occupied memory floating value of the storage data of the user accounts with a browsing frequency threshold value and a memory floating value threshold value respectively:
if the non-user browsing frequency of the data stored by the user account numbers in the school internal and external platforms exceeds a browsing frequency threshold value, or the floating value of the memory occupied by the data stored by the user account numbers exceeds a floating value threshold value of the memory, judging that the security analysis of the school internal and external platforms is abnormal, generating a security abnormal signal and sending the security abnormal signal to a server; if the non-user browsing frequency of the data stored by the user account in the school interior and exterior platform correspondingly does not exceed the browsing frequency threshold value, and the floating value of the memory occupied by the data stored by the user account correspondingly does not exceed the floating value threshold value of the memory, judging that the security analysis of the school interior and exterior platform is normal, generating a security normal signal and sending the security normal signal to the server;
the memory floating value in the application is represented as the data loss amount of the stored data in the storage time period; after receiving the security abnormal signal, the server suspends transmission of data stored in the internal and external platforms, increases the corresponding data storage memory and the network transmission speed, and increases the password strength of the user account;
referring to fig. 2, in a specific implementation, the server is further communicatively connected to a transmission monitoring unit, the transmission monitoring unit is configured to monitor transmission performance of the internal and external platform remote education, in a specific implementation, a voice collector and a network speed detector are set at both a transmission end and a receiving end, and are configured to collect voice and network speed, and a monitoring process is specifically as follows:
the method comprises the following steps: the method comprises the steps of obtaining the education duration of remote education, randomly selecting a period of time within the education duration, and setting the period of time as a transmission monitoring period;
step two: optionally selecting a time point in a transmission monitoring period, and acquiring education audio of a transmission end and education audio of a receiving end in the selected time point, and recording the education audio as transmission audio and receiving audio;
step three: converting the transmission audio and the reception audio into a transmission audio map and a reception audio map;
step four: superposing the transmission audio diagram and the receiving audio diagram to obtain a crossing number JS and a crossing area JM of the transmission audio diagram and the receiving audio diagram;
step five: substituting the intersection number JS and the intersection area JM into a calculation formula to calculate a transmission deviation value CP of the transmission audio image and the reception audio image, wherein the calculation formula is as follows:
step six: during specific implementation, a plurality of time points can be selected optionally in a transmission monitoring period, the real-time network speed values of the internal and external platforms of the school at the plurality of time points are obtained, and the real-time network speed values at the time points are added and averaged to obtain the network speed average value of the internal and external platforms of the school; acquiring standard network speed values of the internal and external platforms, if the network speed mean value is greater than or equal to the standard network speed value, not performing any operation, and if the network speed mean value is less than the standard network speed value, calculating a difference value between the network speed mean value and the standard network speed value and taking an absolute value to obtain a network speed difference value WSC;
step seven: substituting the network speed difference value and the transmission deviation value into a formula CY = CP multiplied by alpha + WSC multiplied by beta to calculate a transmission abnormal value CY of the internal and external platforms; in the formula, both alpha and beta are weight coefficients with fixed numerical values, and the values of both alpha and beta are greater than zero;
step eight: if CY is less than X1, generating a normal transmission signal;
if X1 is not less than CY and less than X2, generating a transmission misalignment signal;
if X2 is less than or equal to CY, generating a transmission error signal; wherein X1 and X2 are both transmission anomaly thresholds, and X1 is less than X2;
the transmission monitoring unit feeds back a normal transmission signal, a misalignment transmission signal or an error transmission signal to the internal and external platforms, and the internal and external platforms judge the transmission performance according to the signals.
A remote education-based in-school and out-school management system comprises a server, a remote quality analysis unit, a quality analysis unit and a quality analysis unit, wherein the remote quality analysis unit is used for performing real-time quality analysis on remote education of an in-school and out-school platform, marking a time period for performing remote education on the in-school and out-school platform as a quality analysis time period, acquiring buffer time length for performing remote education on the in-school and out-school platform and frequency of occurrence of jamming in a remote education process in the quality analysis time period, comparing the buffer time length for performing remote education on the in-school and out-school platform in the quality analysis time period and the frequency of occurrence of jamming in the remote education process with a buffer time threshold and a jamming frequency threshold respectively, and if the buffer time length for performing remote education on the in-school and out-school platform in the quality analysis time period exceeds the buffer time threshold, or if the frequency of the pause in the remote education process exceeds the pause frequency threshold value, judging that the quality analysis of the corresponding remote education is unqualified, generating a quality analysis abnormal signal and sending the quality analysis abnormal signal to the server, if the buffering time of the remote education performed by the internal and external platforms in the quality analysis time period does not exceed the buffering time threshold value and the frequency of the pause in the remote education process does not exceed the pause frequency threshold value, judging that the quality analysis of the corresponding remote education is qualified, generating a quality analysis normal signal and sending the quality analysis normal signal to the server;
after the server receives the quality analysis abnormal signal, the local area network corresponding to the platform inside and outside the school is detected, the network speed corresponding to the local area network is increased, after the server receives the quality analysis normal signal, an operation analysis signal is generated and sent to an operation analysis unit, after the operation analysis unit receives the operation analysis signal, the operation state of the platform inside and outside the school is analyzed, the operation time periods of the platform inside and outside the school are collected, the collected operation time periods are divided into i sub-time periods, the user registration number of the platform inside and outside the school and the increasing speed corresponding to the user registration number in each sub-time period are collected, the user registration number of the platform inside and outside the school and the increasing speed corresponding to the user registration number in each sub-time period are respectively marked as SLi and SDi, and the increase speeds of the user registration number inside and outside the school and the school in each sub-time period are collectedThe highest online population of the platform corresponds to the growth frequency, the highest online population of the platforms inside and outside schools in each sub-time period is marked as PLi, and the growth frequency is obtained through a formula
Obtaining operation analysis coefficients Xi of the platforms inside and outside the school in the sub-time period, comparing the operation analysis coefficients Xi of the platforms inside and outside the school in the sub-time period with an operation analysis coefficient threshold, if the operation analysis coefficients Xi of the platforms inside and outside the school in the sub-time period exceed the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is qualified, marking the corresponding sub-time period as an operation qualified sub-time period, if the operation analysis coefficients Xi of the platforms inside and outside the school in the sub-time period do not exceed the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is unqualified, marking the corresponding sub-time period as an operation lattice unqualified time period, analyzing the operation time period, if the number of the operation lattice time periods inside and outside the school in the operation time period exceeds the number of the operation lattice unqualified time periods and the number of the operation lattice time period does not exceed the corresponding number threshold, judging that the platforms inside and outside the school are qualified in operation, generating qualified operation signals and sending the qualified operation signals to a server, if the number of the operation qualified sub-time periods in the operation time period does not exceed the number of the operation unqualified time periods, or the number of the operation unqualified time periods exceeds a corresponding number threshold, judging that the operation of the platform inside and outside the school is unqualified, generating unqualified operation signals and sending the unqualified operation signals to the server;
after receiving the unqualified operation signal, the server performs rectification on the corresponding internal and external platforms, analyzes and rectifies the propaganda type and the user quality of the internal and external platforms, after receiving the qualified operation signal, the server generates a safety analysis signal and sends the safety analysis signal to a safety analysis unit, after receiving the safety analysis signal, the safety analysis unit analyzes the safety of the corresponding internal and external platforms, acquires the non-user browsing frequency of the corresponding stored data of the user account in the internal and external platforms and the corresponding occupied memory floating value of the stored data of the user account, compares the non-user browsing frequency of the corresponding stored data of the user account in the internal and external platforms and the corresponding occupied memory floating value of the stored data of the user account with a browsing frequency threshold value and a memory floating value threshold value respectively, and if the non-user browsing frequency of the corresponding stored data of the user account in the internal and external platforms exceeds the browsing frequency threshold value, or if the corresponding occupied memory floating value of the data stored in the user account exceeds the memory floating value threshold value, judging that the security analysis of the internal and external platforms is abnormal, generating a security abnormal signal and sending the security abnormal signal to the server; if the non-user browsing frequency of the data stored in the internal and external platforms of the school does not exceed the browsing frequency threshold value and the floating value of the memory occupied by the data stored in the user account does not exceed the floating value threshold value of the memory, the security analysis of the internal and external platforms of the school is judged to be normal, a security normal signal is generated and sent to the server, after the server receives the security abnormal signal, the data stored in the internal and external platforms of the school is transmitted in a pause mode, the corresponding data storage memory and the network transmission speed are increased, and meanwhile the password intensity of the user account is increased.
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 (3)
1. The school internal and external management system based on remote education is characterized by comprising a server, wherein the server is in communication connection with a remote quality analysis unit, an operation analysis unit and a safety analysis unit;
the server generates a remote quality analysis signal and sends the remote quality analysis signal to the remote quality analysis unit, and the remote quality analysis unit performs real-time quality analysis on remote education of platforms inside and outside schools after receiving the remote quality analysis signal; generating a quality analysis normal signal and a quality analysis abnormal signal through real-time quality analysis, and sending the quality analysis normal signal and the quality analysis abnormal signal to a server;
the server generates an operation analysis signal and sends the operation analysis signal to the operation analysis unit after receiving the quality analysis normal signal, and the operation analysis unit analyzes the operation state of the internal and external platforms after receiving the operation analysis signal; generating an unqualified operation signal and a qualified operation signal through operation state analysis, and sending the unqualified operation signal and the qualified operation signal to the server;
after receiving the qualified operation signal, the server generates a safety analysis signal and sends the safety analysis signal to a safety analysis unit, and after receiving the safety analysis signal, the safety analysis unit analyzes the safety of the corresponding school internal and external platforms; generating a safety abnormal signal and a safety normal signal through safety analysis;
the remote education quality analysis process of the remote quality analysis unit is as follows:
marking the time period of remote education of the internal and external platforms as a quality analysis time period, acquiring the buffering time of the internal and external platforms for remote education and the frequency of pause occurring in the remote education process in the quality analysis time period, and respectively comparing the buffering time of the internal and external platforms for remote education and the frequency of pause occurring in the remote education process in the quality analysis time period with a buffering time threshold and a pause frequency threshold;
if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period exceeds the buffering time threshold, or the frequency of stutter occurring in the remote education process exceeds the stutter frequency threshold, judging that the corresponding remote education quality analysis is unqualified, generating a quality analysis abnormal signal and sending the quality analysis abnormal signal to a server; if the buffering time of remote education performed by the internal and external platforms in the quality analysis time period does not exceed the buffering time threshold and the frequency of stutter occurring in the remote education process does not exceed the stutter frequency threshold, judging that the quality analysis of the corresponding remote education is qualified, generating a quality analysis normal signal and sending the quality analysis normal signal to the server;
the operation analysis process of the operation analysis unit is as follows:
collecting the operation time periods of the internal and external platforms of the school, dividing the collected operation time periods into i sub time periods, wherein i is a natural number greater than 1, collecting the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number in each sub time period, and respectively marking the user registration number of the internal and external platforms of the school and the increasing speed of the corresponding user registration number as SLi and SDi; acquiring the corresponding growth frequency of the highest online population of the internal and external platforms of the school in each sub-time period, and marking the corresponding growth frequency of the highest online population of the internal and external platforms of the school in each sub-time period as PLi;
by the formula
Obtaining operation analysis coefficients Xi of the intra-school platform and the extra-school platform in the sub-time period, wherein a1, a2 and a3 are all preset proportional coefficients, and a1 is more than a2 and more than a3 is more than 0; comparing the operation analysis coefficient Xi of the school internal and external platforms in the sub-time period with an operation analysis coefficient threshold value;
if the operation analysis coefficient Xi of the platform inside and outside the school in the sub-time period exceeds the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is qualified, and marking the corresponding sub-time period as an operation qualified sub-time period; if the operation analysis coefficient Xi of the school internal and external platforms in the sub-time period does not exceed the operation analysis coefficient threshold, judging that the operation analysis of the current sub-time period is unqualified, and marking the corresponding sub-time period as an operation unqualified grid time period;
analyzing the operation time periods, if the number of the operation grid closing time periods in the operation time periods exceeds the number of the operation grid failing time periods, and the number of the operation grid failing time periods does not exceed a corresponding number threshold, judging that the operation of the internal and external platforms of the school is qualified, generating qualified operation signals and sending the qualified operation signals to the server; if the number of the operation qualified sub-time periods in the operation time period does not exceed the number of the operation unqualified time periods, or the number of the operation unqualified time periods exceeds a corresponding number threshold, judging that the operation of the internal and external platforms is unqualified, generating an unqualified operation signal and sending the unqualified operation signal to a server;
the security analysis process of the security analysis unit is as follows:
acquiring non-user browsing frequency of corresponding storage data of user accounts in the internal and external platforms of the school and a corresponding occupied memory floating value of the storage data of the user accounts, and comparing the non-user browsing frequency of the corresponding storage data of the user accounts in the internal and external platforms of the school and the corresponding occupied memory floating value of the storage data of the user accounts with a browsing frequency threshold value and a memory floating value threshold value respectively;
if the non-user browsing frequency of the data stored by the user account numbers in the school internal and external platforms exceeds a browsing frequency threshold value, or the floating value of the memory occupied by the data stored by the user account numbers exceeds a floating value threshold value of the memory, judging that the security analysis of the school internal and external platforms is abnormal, generating a security abnormal signal and sending the security abnormal signal to a server; if the non-user browsing frequency of the data correspondingly stored by the user account in the school interior and exterior platform does not exceed the browsing frequency threshold value and the floating value of the memory correspondingly occupied by the data stored by the user account does not exceed the floating value threshold value of the memory, judging that the security analysis of the school interior and exterior platform is normal, generating a security normal signal and sending the security normal signal to the server;
the memory floating value represents the data loss amount of the stored data in the storage time period.
2. The remote education-based intra-school and out-school management system according to claim 1, wherein the server is further communicatively connected with a transmission monitoring unit, the transmission monitoring unit is used for monitoring the transmission performance of the intra-school and out-school platform remote education, monitoring the transmission performance to obtain a normal transmission signal, a transmission misalignment signal or a transmission error signal, feeding the normal transmission signal, the transmission misalignment signal or the transmission error signal back to the intra-school and out-school platform, and the intra-school and out-school platform judges the transmission performance according to the signals.
3. The remote education-based intra-school and out-school management system according to claim 2, wherein the monitoring process of the transmission monitoring unit is as follows:
the method comprises the following steps: the method comprises the steps of obtaining the education time length of remote education, randomly selecting a period of time length in the education time length, and setting the period of time length as a transmission monitoring time period;
step two: optionally selecting a time point in a transmission monitoring period, and acquiring education audio of a transmission end and education audio of a receiving end in the selected time point, and recording the education audio as transmission audio and receiving audio;
step three: converting the transmission audio and the reception audio into a transmission audio map and a reception audio map;
step four: superposing the transmission audio diagram and the receiving audio diagram to obtain a crossing number JS and a crossing area JM of the transmission audio diagram and the receiving audio diagram;
step five: substituting the intersection number JS and the intersection area JM into a calculation formula to calculate a transmission deviation value CP of the transmission audio image and the reception audio image, wherein the calculation formula is as follows:
step six: selecting a plurality of time points within a transmission monitoring period, acquiring real-time network speed values of the internal and external platforms of the school at the plurality of time points, adding the real-time network speed values of the time points, summing and averaging to obtain a network speed average value of the internal and external platforms of the school; acquiring standard network speed values of the internal and external platforms, if the network speed mean value is greater than or equal to the standard network speed value, not performing any operation, and if the network speed mean value is less than the standard network speed value, calculating a difference value between the network speed mean value and the standard network speed value and taking an absolute value to obtain a network speed difference value WSC;
step seven: substituting the network speed difference value and the transmission deviation value into a formula CY = CP multiplied by alpha + WSC multiplied by beta to calculate a transmission abnormal value CY of the internal and external platforms; in the formula, both alpha and beta are weight coefficients with fixed numerical values, and the values of both alpha and beta are greater than zero;
step eight: if CY is less than X1, generating a normal transmission signal;
if X1 is not less than CY and less than X2, generating a transmission misalignment signal;
if X2 is less than or equal to CY, generating a transmission error signal; wherein, X1 and X2 are both transmission abnormity threshold values, and X1 < X2.
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