CN113034322B - Internet-based online education supervision system and method - Google Patents
Internet-based online education supervision system and method Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention discloses an internet-based online education supervision system which comprises a network server, a teacher terminal, a parental terminal, a student terminal, a supervision module, an inspection module and a reminding module. According to the invention, through the arrangement of the network server, the teacher terminal, the parental terminal, the student terminal, the supervision module and the reminding module, students who perform online education can be supervised, learning tasks can be completed on time, the students are supervised and promoted to learn carefully, good learning habits of the students are cultivated, the situation that the students are lazy is avoided, whether the users need to learn or not can be verified through the supervision module, impersonation is avoided, the accuracy of network supervision is improved, the reminding module can remind students in a learning state for a long time, learning fatigue is avoided from being achieved during learning, labor and escape combination is ensured, learning efficiency is improved, healthy habit cultivation is facilitated, and physical quality is improved.
Description
Technical Field
The invention relates to the technical field of online education, in particular to an online education supervision system and method based on the Internet.
Background
With the development of domestic economy and culture, more and more families begin to pay attention to home education, and particularly, the full-scale development of German wisdom is required. However, in the current educational environment, the dominant of home education has failed to adapt to the educational ideas of the new era, and the education level itself has failed to meet the demands of educated persons. With the continuous development of internet education, people begin to more and more discuss online teaching possibilities, and it is obvious that in technical aspects, we can easily conduct network education.
However, it is also necessary to consider the supervision problems in the teaching process, such as whether the students can be confirmed to carefully complete the learning task, and whether the students who have previously heard the lessons can be confirmed to be the students themselves, and when the above uncertainty factors can be confirmed, the internet education can be further improved in supervision.
Disclosure of Invention
The invention aims to provide an internet-based online education supervision system and method for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the online education supervision system based on the Internet comprises a network server, a teacher terminal, a parent terminal, a student terminal, a supervision module, an inspection module and a reminding module, wherein the network server is used for carrying out data processing on the education supervision system, the teacher terminal is used for making a learning task, the parent terminal is used for assisting in completing the learning task, the student terminal is used for completing the learning task, the supervision module is used for supervising the learning state, the inspection module is used for calculating the learning duration, the reminding module is used for checking the completion degree of the learning task, the output end of the network server is respectively connected with the input ends of the teacher terminal, the parent terminal and the student terminal, the input end of the network server is respectively connected with the output ends of the teacher terminal, the parent terminal, the supervision module, the reminding module and the output end of the inspection module, the output end of the student terminal is connected with the output ends of the teacher terminal, the input end of the student terminal and the parents terminal, and the output end of the supervision module.
Further, the network server includes a central processing unit, a first information receiving and transmitting unit and a first storage unit, wherein the central processing unit is used for analyzing and integrating data, the first information receiving and transmitting unit is used for receiving and transmitting information, the first storage unit is used for storing data, the teacher terminal includes a second storage unit and a second information receiving and transmitting unit, the second storage unit is used for storing data, the second information receiving and transmitting unit is used for receiving and transmitting information, the parent terminal includes a sharing unit and a fourth information receiving and transmitting unit, the sharing unit is used for sharing information, and the fourth information receiving and transmitting unit is used for receiving and transmitting information.
Further, the student terminal comprises a third storage unit and a third information receiving and transmitting unit, wherein the third storage unit is used for storing data, and the third information receiving and transmitting unit is used for receiving and transmitting information.
Further, the supervision module comprises a face recognition unit, a sound recognition unit and a behavior recognition unit, wherein the face recognition unit is used for recognizing the face of the user, the sound recognition unit is used for recognizing the sound of the user, and the behavior recognition unit is used for recognizing the behavior of the user.
Further, the face recognition unit includes a first camera, a first scanning module, a first calculating module and a first database, which verifies whether the student is himself or herself, and the data analysis process is as follows: l is left eye, R is right eye, F is the nose, use the camera to take a picture to the student to with the photo real-time transmission to on the scanning module, regard student's mouth J as the origin, the scanning module scans the modeling to the photo of receiving, makes it form three-dimensional coordinate system, then the calculation module calculates L, R, F's distance, and L, R, F's position in three-dimensional coordinate system is respectively: l (x) 1 、y 1 、z 1 )、R(x 2 、y 2 、z 2 )、F(x 3 、y 3 、z 3 ) Thereby calculating the distances respectively as follows: l= v (x 1 2 +y 1 2 +z 1 2 )、R＝√(x 2 2 +y 2 2 +z 2 2 )、F＝√(x 3 2 +y 3 2 +z 3 2 ) And comparing the calculated result with the data stored in the first database to verify whether the result is the person at the moment.
Further, the voice recognition unit includes a voice acquisition module, a first waveform conversion module and a second database, which verify whether the student is learning or not, and the data analysis process is as follows: and the sound collection module is used for collecting and processing the sound of the student, the collected sound is transmitted to the first waveform conversion module, the first waveform conversion module converts the received sound into a waveform V, and then the waveform V is compared with the data stored in the second database to verify whether the student is learning at the moment.
Further, the behavior recognition unit comprises a second camera, a second scanning module, a second calculating module, a third database, a video acquisition module, a second waveform conversion module and a fourth database, and the behavior recognition unit verifies whether a student is learning or not, and the data analysis process is as follows: taking a picture of the whole figure by using the second camera, transmitting the picture to the second scanning module in real time, taking the right foot W of the human body as an origin, carrying out three-dimensional modeling on the figure by using the second scanning module, determining the position coordinates, taking three-point coordinate values, and obtaining M (x 4 、y 4 、z 4 )、Q(x 5 、y 5 、z 5 )、P(x 6 、y 6 、z 6 ) Wherein M is the top of the head, Q is the spine, P is the shoulder, and calculate the angle of M, Q and P and W origin respectively +.1, +.2, +.3, its formula of calculation is:
Cos1＝(x 4 2 +y 4 2 -z 4 2 )/2x 4 y 4 ，Cos2＝(x 5 2 +y 5 2 -z 5 2 )/2x 5 y 5 ，Cos3＝(x 6 2 +y 6 2 -z 6 2 )/2x 6 y 6
comparing the calculated <1 >, < 2 > and < 3 > with the data stored in the third database;
and then the video acquisition module is used for collecting the leg motions of the video acquisition module, the collected video is transmitted to the second waveform conversion module, the second waveform conversion module converts the leg motions in the video into waveform diagrams, and the waveform diagrams are compared with data stored in the fourth database to verify whether the user is self and is learning.
Further, the inspection module comprises a detection unit and a fifth information receiving and transmitting unit, the detection unit detects the completion degree of the submitted learning task, and the fifth information receiving and transmitting unit is used for receiving and transmitting information.
Further, the reminding module comprises a timing unit and a selection unit, wherein the timing unit is used for recording learning duration of a user, and the selection unit is used for selecting rest time.
The invention also comprises a method of the internet-based online education supervision system, which comprises the following steps:
a) A teacher uploads a learning task to the network server by logging in the teacher terminal;
b) The network server stores and transmits the received learning task, the learning task is respectively transmitted to the parent terminal and the student terminal, parents and students can respectively select whether the learning task is received or not, and the data analysis and processing process is as follows: x is a learning task, Z is a parent, S is a student, Y is a consent to receive, N is a disagreement to receive, when Z selects Y, the parent receives the learning task and automatically shares the student terminal, when Z selects N, the parent does not receive the learning task and feeds the information back to the teacher terminal, when S selects Y, the student receives the learning task and automatically starts the supervision module, and when S selects N, the student does not receive the learning task and feeds the information back to the teacher terminal and the parent terminal;
c) When the student receives the learning task, the supervision module is automatically started, and the face recognition unit, the voice recognition unit and the behavior recognition unit are used for detecting whether the student is learning and detecting whether the student is the student, and the data analysis and processing process is as follows: the face recognition unit is A, the voice recognition unit is B, the behavior recognition unit is C, and when one of three items is less than or equal to 0, verification is passed, and the following conditions exist: (1) a=1, b=1, c=1; (2) a=1, b=1, c=0; (3) a=1, b=0, c=1; (4) a=0, b=1, c=1; when more than one of the three items is 0, the verification is not passed, and the following conditions exist: (5) a=1, b=0, c=0; (6) a=0, b=0, c=0; (7) a=0, b=0, c=0; (8) a=0, b=0, c=0; when the verification is passed, the student is in learning, when the verification is not passed, the secondary verification is carried out, the data analysis process is repeated, if the secondary verification is not passed, the student is judged to be in a learning state, and the information is fed back to the teacher terminal and the parent terminal;
d) When judging that the device is in a learning state, the reminding module counts the learning time and judges whether the learning time reaches the rest time or not, and the data analysis and processing process is as follows: t is learning time, when T is not less than 1h, rest time can be selected, and when T is less than 1h, the time of T is continuously counted;
e) When the student sends the completed learning task to the checking module, the checking module verifies the completion degree of the learning task, and the data analysis process is as follows: k is the completion degree of the learning task, when K=1, the learning task is transmitted to the teacher terminal, and when K <1, the learning task is re-transmitted to the student terminal.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, through the arrangement of the network server, the teacher terminal, the parental terminal, the student terminal, the supervision module and the reminding module, students who perform online education can be supervised, so that the students can complete learning tasks on time, and is supervised to learn carefully, good learning habits of the students are cultivated, the situation that the students are lazy is avoided, whether the users need to learn or not can be verified through the supervision module, impersonation is avoided, and the accuracy of network supervision is improved.
2. According to the invention, the reminding module is arranged, so that students in a learning state for a long time can be reminded, learning fatigue is avoided from being achieved during learning growth time, the combination of labor and escape is ensured, the learning efficiency is improved, and the healthy habit is facilitated, so that the physical quality is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of the overall invention;
FIG. 2 is a flow chart of the overall operation of the present invention;
in the figure: 1. a network server; 2. a teacher terminal; 3. a parent terminal; 4. a student terminal; 5. a supervision module; 6. an inspection module; 7. a reminding module; 8. a central processing unit; 9. a first information receiving and transmitting unit; 10. a first storage unit; 11. a second storage unit; 12. a second information transmitting/receiving unit; 13. a sharing unit; 14. a fourth information transmitting/receiving unit; 15. a third storage unit; 16. a third information transmitting/receiving unit; 17. a face recognition unit; 18. a voice recognition unit; 19. a behavior recognition unit; 20. a detection unit; 21. a fifth information transceiving unit; 22. a timing unit; 23. and a selection unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: the online education supervision system based on the Internet comprises a network server 1, a teacher terminal 2, a parent terminal 3, a student terminal 4, a supervision module 5, an inspection module 6 and a reminding module 7, wherein the network server 1 is used for carrying out data processing on the education supervision system, the teacher terminal 2 is used for formulating a learning task, the parent terminal 3 is used for assisting in completing the learning task, the student terminal 4 is used for completing the learning task, the supervision module 5 is used for supervising the learning state, the inspection module 6 is used for calculating the learning duration, the reminding module 7 is used for checking the completion degree of the learning task, the output end of the network server 1 is respectively connected with the input ends of the teacher terminal 2, the parent terminal 3 and the student terminal 4, the input end of the network server 1 is respectively connected with the output ends of the teacher terminal 2 and the parent terminal 3, the input end of the student terminal 4 is connected with the input end of the supervision module 5, the reminding module 7 and the input end of the inspection module 6, and the output end of the student terminal 4 is respectively connected with the input ends of the teacher terminal 2, the parent terminal 3 and the output end of the student terminal 4 and the input end of the supervision module 4.
The network server 1 comprises a central processing unit 8, a first information transceiving unit 9 and a first storage unit 10, wherein the central processing unit 8 is used for analyzing and integrating data, the first information transceiving unit 9 is used for transceiving information, the first storage unit 10 is used for storing data, the teacher terminal 2 comprises a second storage unit 11 and a second information transceiving unit 12, the second storage unit 11 is used for storing data, the second information transceiving unit 12 is used for transceiving information, the parent terminal 3 comprises a sharing unit 13 and a fourth information transceiving unit 14, the sharing unit 13 is used for sharing information, and the fourth information transceiving unit 14 is used for transceiving information.
The student terminal 4 comprises a third storage unit 15 and a third information receiving and transmitting unit 16, wherein the third storage unit 15 is used for storing data, and the third information receiving and transmitting unit 16 is used for receiving and transmitting information.
The supervision module 5 comprises a face recognition unit 17, a sound recognition unit 18 and a behavior recognition unit 19, wherein the face recognition unit 17 is used for recognizing the face of a user, the sound recognition unit 18 is used for recognizing the sound of the user, and the behavior recognition unit 19 is used for recognizing the behavior of the user.
The face recognition unit 17 includes a first camera, a first scanning module, a first calculating module, and a first database, which verifies whether the student is himself, and the data analysis process is as follows: l is left eye, R is right eye, F is the nose, use the camera to take a picture to the student to with the photo real-time transmission to on the scanning module, regard student's mouth J as the origin, the scanning module scans the modeling to the photo of receiving, makes it form three-dimensional coordinate system, then the calculation module calculates L, R, F's distance, and L, R, F's position in three-dimensional coordinate system is respectively: l (x) 1 、y 1 、z 1 )、R(x 2 、y 2 、z 2 )、F(x 3 、y 3 、z 3 ) Thereby calculating the distances respectively as follows: l= v (x 1 2 +y 1 2 +z 1 2 )、R＝√(x 2 2 +y 2 2 +z 2 2 )、F＝√(x 3 2 +y 3 2 +z 3 2 ) And comparing the calculated result with the data stored in the first database to verify whether the result is the person at the moment.
The voice recognition unit 18 includes a voice acquisition module, a first waveform conversion module, and a second database, which verifies whether the student is learning, and the data analysis process is as follows: and the sound collection module is used for collecting and processing the sound of the student, the collected sound is transmitted to the first waveform conversion module, the first waveform conversion module converts the received sound into a waveform V, and then the waveform V is compared with the data stored in the second database to verify whether the student is learning at the moment.
The behavior recognition unit 19 includes a second camera, a second scanning module, a second computing module, a third database, a video acquisition module, a second waveform conversion module and a fourth database, and verifies whether the student is learning, and the data analysis process is as follows: integrally entering the person by using the second cameraTaking a photo in a row, transmitting the photo to the second scanning module in real time, taking the right foot W of a human body as an origin, carrying out three-dimensional modeling on the figure by the second scanning module, determining the position coordinates, taking three-point coordinate values, and obtaining M (x 4 、y 4 、z 4 )、Q(x 5 、y 5 、z 5 )、P(x 6 、y 6 、z 6 ) Wherein M is the top of the head, Q is the spine, P is the shoulder, and calculate the angle of M, Q and P and W origin respectively +.1, +.2, +.3, its formula of calculation is:
Cos1＝(x 4 2 +y 4 2 -z 4 2 )/2x 4 y 4 ，Cos2＝(x 5 2 +y 5 2 -z 5 2 )/2x 5 y 5 ，Cos3＝(x 6 2 +y 6 2 -z 6 2 )/2x 6 y 6
comparing the calculated <1 >, < 2 > and < 3 > with the data stored in the third database;
and then the video acquisition module is used for collecting the leg motions of the video acquisition module, the collected video is transmitted to the second waveform conversion module, the second waveform conversion module converts the leg motions in the video into waveform diagrams, and the waveform diagrams are compared with data stored in the fourth database to verify whether the user is self and is learning.
The inspection module 6 includes a detection unit 20 and a fifth information transceiving unit 21, the detection unit 20 detects the completion degree of the submitted learning task, and the fifth information transceiving unit 21 is used for transceiving information.
The reminding module 7 comprises a timing unit 22 and a selection unit 23, wherein the timing unit 22 is used for recording learning duration of a user, and the selection unit 23 is used for selecting rest time.
The invention also comprises a method of the internet-based online education supervision system, which comprises the following steps:
a) A teacher uploads a learning task to the web server 1 by logging in the teacher terminal 2;
b) The network server 1 stores and transmits the received learning task, and transmits the learning task to the parent terminal 3 and the student terminal 4 respectively, so that the parents and students can select whether to receive the learning task or not respectively, and the data analysis and processing process is as follows: x is a learning task, Z is a parent, S is a student, Y is a consent to receive, N is a disagreement to receive, when Z selects Y, the parent receives the learning task and automatically shares the student terminal 4, when Z selects N, the parent does not receive the learning task and feeds the information back to the teacher terminal 2, when S selects Y, the student receives the learning task and automatically starts the supervision module 5, and when S selects N, the student does not receive the learning task and feeds the information back to the teacher terminal 2 and the parent terminal 3;
c) When the student receives the learning task, the supervision module 5 is automatically started, and the face recognition unit 17, the voice recognition unit 18 and the behavior recognition unit 19 are used for detecting whether the student is learning and detecting whether the student is the student, and the data analysis and processing process is as follows: the face recognition unit 17 is a, the voice recognition unit 18 is B, the behavior recognition unit 19 is C, and when one of three items is 0 or less, the verification is passed, and the following is the case: (1) a=1, b=1, c=1; (2) a=1, b=1, c=0; (3) a=1, b=0, c=1; (4) a=0, b=1, c=1; when more than one of the three items is 0, the verification is not passed, and the following conditions exist: (5) a=1, b=0, c=0; (6) a=0, b=0, c=0; (7) a=0, b=0, c=0; (8) a=0, b=0, c=0; when the verification is passed, the student is in learning, when the verification is not passed, the secondary verification is carried out, the data analysis process is repeated, if the secondary verification is not passed, the student is judged to be in a learning state, and the information is fed back to the teacher terminal 2 and the parent terminal 3;
d) When judging that the device is in a learning state, the reminding module 7 counts the learning time and judges whether the learning time reaches the rest time or not, and the data analysis and processing process is as follows: t is learning time, when T is not less than 1h, rest time can be selected, and when T is less than 1h, the time of T is continuously counted;
e) When the student sends the completed learning task to the checking module 6, the checking module 6 verifies the completion degree of the learning task, and the data analysis process is as follows: k is the completion of the learning task, and when k=1, the learning task is delivered to the teacher terminal 2, and when K <1, the learning task is delivered to the student terminal 4 again.
The working principle of the invention is as follows:
referring to the attached 1-2 of the specification, the invention can supervise students who perform online education by arranging the network server 1, the teacher terminal 2, the parent terminal 3, the student terminal 4, the supervision module 5, the checking module 6 and the reminding module 7, ensure that the students can complete learning tasks on time, supervise and learn carefully, cultivate good learning habits of the students, avoid the situation that the students are lazy, and can also verify whether the users are the subjects needing to learn or not by the supervision module 5, avoid impersonation, improve the accuracy of network supervision, remind the students in a learning state for a long time by arranging the reminding module 7, avoid learning fatigue of learning growth time, ensure that the learning efficiency can be improved, and facilitate the development of healthy habits, thereby improving physical quality.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The utility model provides an online education supervisory system based on internet, includes web server (1), mr terminal (2), parent terminal (3), student terminal (4), supervision module (5), inspection module (6) and reminds module (7), its characterized in that: the network server (1) is used for carrying out data processing on an education supervision system, the teacher terminal (2) is used for making a learning task, the parent terminal (3) is used for assisting in completing the learning task, the student terminal (4) is used for completing the learning task, the supervision module (5) is used for supervising the learning state, the checking module (6) is used for calculating the learning duration, the reminding module (7) is used for checking the completion degree of the learning task, the output end of the network server (1) is respectively connected with the input ends of the teacher terminal (2), the parent terminal (3) and the student terminal (4), the input end of the network server (1) is respectively connected with the output ends of the teacher terminal (2) and the parent terminal (3), the output end of the student terminal (4) is connected with the input ends of the network server (1), the parent terminal (3), the supervision module (5), the reminding module (7) and the checking module (6), the input end of the student terminal (4) is respectively connected with the output ends of the teacher terminal (3) and the supervision terminal (3), the output end of the checking module (6) is connected with the input ends of the student terminal (4) and the teacher terminal (2);
the supervision module (5) comprises a face recognition unit (17), a sound recognition unit (18) and a behavior recognition unit (19), wherein the face recognition unit (17) is used for recognizing the face of a user, the sound recognition unit (18) is used for recognizing the sound of the user, and the behavior recognition unit (19) is used for recognizing the behavior of the user;
the face recognition unit (17) comprises a first camera, a first scanning module, a first calculating module and a first database, and is used for verifying whether a student is himself or herself, and the data analysis process is as follows: l is left eye, R is right eye, F is the nose, use the camera to take a picture to the student to with the photo real-time transmission to on the scanning module, regard student's mouth J as the origin, the scanning module scans the modeling to the photo of receiving, makes it form three-dimensional coordinate system, then the calculation module calculates L, R, F's distance, and L, R, F's position in three-dimensional coordinate system is respectively: l (x) 1 、y 1 、z 1 ）、R（x 2 、y 2 、z 2 ）、F（x 3 、y 3 、z 3 ) Thereby calculating the distances respectively as follows: l= v (x 1 ²+y 1 ²+z 1 ²）、R=√（x 2 ²+y 2 ²+z 2 ²）、F=√（x 3 ²+y 3 ²+z 3 Comparing the calculated result with the data stored in the first database to verify whether the result is the person at the moment;
the voice recognition unit (18) comprises a voice acquisition module, a first waveform conversion module and a second database, and is used for verifying whether a student is learning or not, and the data analysis process is as follows: the sound collection module is used for collecting and processing the sound of the student, the collected sound is transmitted to the first waveform conversion module, the first waveform conversion module converts the received sound into a waveform V, and then the waveform V is compared with the data stored in the second database to verify whether the student is learning at the moment;
the behavior recognition unit (19) comprises a second camera, a second scanning module, a second calculating module,The system comprises a third database, a video acquisition module, a second waveform conversion module and a fourth database, wherein the third database is used for verifying whether a student is learning or not, and the data analysis process is as follows: taking a picture of the whole figure by using the second camera, transmitting the picture to the second scanning module in real time, taking the right foot W of the human body as an origin, carrying out three-dimensional modeling on the figure by using the second scanning module, determining the position coordinates, taking three-point coordinate values, and obtaining M (x 4 、y 4 、z 4 ）、Q（x 5 、y 5 、z 5 ）、P（x 6 、y 6 、z 6 ) Wherein M is the top of the head, Q is the spine, P is the shoulder, and calculate the angle of M, Q and P and W origin respectively +.1, +.2, +.3, its formula of calculation is:
Cos1=（x 4 ²+y 4 ²-z 4 ²）/2x 4 y 4 ，Cos2=（x 5 ²+y 5 ²-z 5 ²）/2x 5 y 5 ，Cos3=（x 6 ²+y 6 ²-z 6 ²）/2x 6 y 6
comparing the calculated <1 >, < 2 > and < 3 > with the data stored in the third database;
then the video acquisition module is used for collecting leg actions of the video, the collected video is transmitted to the second waveform conversion module, the second waveform conversion module converts the leg actions in the video into waveform diagrams, and the waveform diagrams are compared with data stored in the fourth database to verify whether the user is himself and is learning;
the application method of the internet-based online education supervision system comprises the following steps:
a) A teacher uploads a learning task to the network server (1) by logging in the teacher terminal (2);
b) The network server (1) stores and transmits the received learning tasks, the learning tasks are respectively transmitted to the parent terminal (3) and the student terminal (4), parents and students respectively select whether the learning tasks are received or not, and the data analysis and processing process is as follows: x is a learning task, Z is a parent, S is a student, Y is a consent to receive, N is a disagreement to receive, when Z selects Y, the parent receives the learning task and automatically shares the student terminal (4), when Z selects N, the parent does not receive the learning task and feeds the information back to the teacher terminal (2), when S selects Y, the student receives the learning task and automatically starts the supervision module (5), and when S selects N, the student does not receive the learning task and feeds the information back to the teacher terminal (2) and the parent terminal (3);
c) When the student receives the learning task, the supervision module (5) is automatically started, and the supervision module detects whether the student is learning and whether the student is the student himself or not through three aspects of face recognition, voice recognition and behavior recognition, and the data analysis and processing process is as follows: face recognition is A, voice recognition is B, behavior recognition is C, and when one of three items is less than or equal to 0, verification is passed, and the following conditions exist: (1) a=1, b=1, c=1; (2) a=1, b=1, c=0; (3) a=1, b=0, c=1; (4) a=0, b=1, c=1; when more than one of the three items is 0, the verification is not passed, and the following conditions exist: (5) a=1, b=0, c=0; (6) a=0, b=1, c=0; (7) a=0, b=0, c=1; (8) a=0, b=0, c=0; when the verification is passed, the student is in learning, when the verification is not passed, the secondary verification is carried out, the data analysis process is repeated, if the secondary verification is not passed, the student is judged to be in a learning state, and the information is fed back to the teacher terminal (2) and the parent terminal (3);
d) When judging that the device is in a learning state, the reminding module (7) counts the learning time and judges whether the learning time reaches the rest time or not, and the data analysis and processing process is as follows: t is learning time, when T is not less than 1h, rest time can be selected, and when T is less than 1h, the time of T is continuously counted;
e) When the student sends the completed learning task to the checking module (6), the checking module (6) verifies the completion degree of the learning task, and the data analysis process is as follows: k is the completion of the learning task, and when K=1, the learning task is transmitted to the teacher terminal (2), and when K <1, the learning task is re-transmitted to the student terminal (4).
2. An internet-based on-line educational monitoring system according to claim 1, wherein: the network server (1) comprises a central processing unit (8), a first information receiving and transmitting unit (9) and a first storage unit (10), wherein the central processing unit (8) is used for analyzing and integrating data, the first information receiving and transmitting unit (9) is used for receiving and transmitting information, the first storage unit (10) is used for storing data, the teacher terminal (2) comprises a second storage unit (11) and a second information receiving and transmitting unit (12), the second storage unit (11) is used for storing data, the second information receiving and transmitting unit (12) is used for receiving and transmitting information, the parent terminal (3) comprises a sharing unit (13) and a fourth information receiving and transmitting unit (14), the sharing unit (13) is used for sharing information, and the fourth information receiving and transmitting unit (14) is used for receiving and transmitting information.
3. An internet-based on-line educational monitoring system according to claim 1, wherein: the student terminal (4) comprises a third storage unit (15) and a third information receiving and transmitting unit (16), wherein the third storage unit (15) is used for storing data, and the third information receiving and transmitting unit (16) is used for receiving and transmitting information.
4. An internet-based on-line educational monitoring system according to claim 1, wherein: the checking module (6) comprises a detecting unit (20) and a fifth information transceiving unit (21), wherein the detecting unit (20) is used for detecting the completion degree of the submitted learning task, and the fifth information transceiving unit (21) is used for transceiving information.
5. An internet-based on-line educational monitoring system according to claim 1, wherein: the reminding module (7) comprises a timing unit (22) and a selection unit (23), wherein the timing unit (22) is used for recording learning duration of a user, and the selection unit (23) is used for selecting rest time.
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