Intelligent teaching management system based on IOP Internet of Things

Abstract

The invention discloses an intelligent teaching management system based on IOP Internet of Things, and relates to the technical field of teaching management, the intelligent teaching management system comprises an object identification terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module, a three-dimensional numerical value of a student is obtained through a three-dimensional scanner, whether the numerical value of the student corresponding to a serial number is abnormal or not is detected in real time, and the teaching management terminal is started. Through real-time tracking of sitting postures of students and measurement of basic data of the sitting postures, whether the sitting postures of the students are standard or not is judged, the lecture attending states of the students during teaching management are monitored in real time, character conversion is performed on voice answered by the students through the voice conversion module, whether the answered content is correct or not is judged, and the teaching management effect is monitored in real time. According to the intelligent teaching management system based on the IOP internet of things, voice reminding can be carried out on students leaving the designated positions of the seats, the teaching management effect is improved, the students with abnormal sitting postures can be conveniently reminded and corrected, the intelligence of the teaching management system is enhanced, the class attending state of each student can be monitored in real time, and the teaching difficulty is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching management, and in particular to a smart teaching management system based on IOP Internet of Things. Background Art

[0002] The Internet of Things is a network based on the Internet that collects information about objects that need to be connected in real time through various high-tech sensors, and collects information such as light, electricity and position of objects in the process. With the rapid development of science and technology, the application of IOP Internet of Things is becoming more and more extensive, especially for teaching management. Therefore, the intelligent teaching management system based on IOP Internet of Things is needed in teaching management.

[0003] At present, in teaching management, the teacher lectures on the upper floor and the students listen to the class in their seats. However, when the teacher turns his back to the students, it is impossible to monitor whether the students leave their seats, and it is difficult to give voice reminders to students who leave their designated seats, which affects the teaching management effect.

[0004] When students are sitting in their seats and listening to the class, it is impossible to accurately judge whether the students' sitting posture is standard, and it is impossible to correct the sitting posture of students with abnormal sitting posture in time during teaching management. The intelligence of the teaching management system is weak;

[0005] With the existing teaching management system, teachers are unable to monitor the listening status of each student while giving a lecture. In particular, when students are interacting with each other in questions, the teachers are unable to promptly correct the incorrect answers. At the same time, the teachers are unable to accurately identify students who have not answered questions, which easily leads to teaching differences in teaching management.

[0006] Therefore, a new intelligent teaching management system based on IOP Internet of Things is proposed to solve the above problems. Summary of the invention

[0007] The main purpose of the present invention is to provide a smart teaching management system based on IOP Internet of Things to solve the problems raised in the above background.

[0008] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a smart teaching management system based on IOP Internet of Things, including an object recognition terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module;

[0009] The object recognition terminal is used to sort the positions of students at different positions in the classroom and monitor in real time whether the students are beyond their positions, obtain the three-dimensional values ​​of the students through a three-dimensional scanner, and check in real time whether the values ​​of the students with corresponding serial numbers are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given;

[0010] The sitting posture judgment terminal is used to display the standard sitting posture of a virtual AI character and give real-time broadcast guidance prompts. In teaching management, the student's sitting posture is tracked in real time and the basic sitting posture data is measured to judge whether the student's sitting posture is standard. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued;

[0011] The teaching management terminal is used to monitor the students' listening status in real time during teaching management through the video capture device, convert the students' answers into text through the voice conversion module, judge whether the answer content is correct, and turn on the red light according to the sequence number if it is abnormal, so as to monitor the teaching management effect in real time;

[0012] The voice amplification level module includes an arrangement definition module, a volume level module and a reaction tracking module, and the voice amplification level module is connected to the object recognition end, the sitting posture judgment end and the teaching management end;

[0013] The arrangement definition module is used to sort the seat numbers of each row according to the seats;

[0014] The volume level module is used to adjust the voice broadcast volume level according to the sorted seat numbers;

[0015] The reaction tracking module is used to track student reactions in teaching management through computer equipment.

[0016] The object recognition end includes a position positioning module, an object recognition module and a sorting tracking module;

[0017] The position positioning module includes a position sorting unit, a position positioning module and a positioning judgment module;

[0018] The position sorting unit is used to sort the seats by Arabic numerals;

[0019] The position positioning module is used to locate the student's seat through GPS and set the movement threshold range of the GPS-located seat;

[0020] The positioning judgment module is used to locate the student's position, compare the located student position with the movement threshold range of the GPS-located seat, and determine whether the student's teaching seat is abnormal.

[0021] The object recognition module includes a three-dimensional measurement module and a sequence number broadcasting module;

[0022] The three-dimensional measurement module is used to scan the three-dimensional values ​​of students in corresponding seats through a three-dimensional scanner;

[0023] The serial number broadcast module is used to compare the measured three-dimensional value with the student stored value corresponding to the serial number. If the comparison result between the measured three-dimensional value and the stored value is greater than 1, an error broadcast prompt corresponding to the serial number is issued.

[0024] The sequencing tracking module includes a sequence number self-tracking module and a sequencing early warning module;

[0025] The serial number self-tracking module is used to capture the corresponding serial number seat moving position through the monitor to achieve self-tracking. The tracking formula is as follows:

[0026]

[0027] Where F represents the measured three-dimensional value, C represents the transmission rate, D represents the student storage value, and [N] represents the number of seats in the sampling interval between the sampled seat and the target seat;

[0028] The sorting warning module is used to issue abnormal reminders to seats that are judged to be abnormal through a buzzer.

[0029] The sitting posture judgment terminal includes a sitting posture acquisition module, an AI guidance module, a sitting posture tracking module and a sitting posture warning module;

[0030] The sitting posture acquisition module includes an image capture module and a threshold determination module;

[0031] The image capture module is used to capture basic data of students' sitting postures from multiple angles through a camera;

[0032] The threshold determination module is used to set a sitting posture threshold range of a standard distance.

[0033] The AI ​​guidance module includes a virtual AI display module and a guidance broadcast module;

[0034] The virtual AI display module is used to display the standard sitting posture on the computer device through virtual AI;

[0035] The guidance announcement module is used to announce the standard sitting posture through a voice announcer.

[0036] The sitting posture tracking module is used to record the student's sitting posture value in real time through a camera and determine whether the sitting posture is standard. The determination steps are as follows:

[0037] Step 1: Place a laser rangefinder in the middle of the seat back, in the middle of the seat back, and below the seat back. Use the laser rangefinder to obtain the distance between every two laser rangefinders. Use the processor to form a rectangular coordinate axis with the seat surface. Set the points of the three laser rangefinders to A, B, and C, respectively, and obtain the distances between AB, BC, and AC.

[0038] Step 2: When the student sits on the chair, the distance between the student's upper body and points A, B and C is obtained through a distance meter. If the detection distances of points A, B and C are equal, the length occupied by the back of the human body is not calculated, and the sitting posture is judged to be correct. If the distances of points A, B and C are not equal, the length AB and length BC occupied by the student's back in the AB, BC and AC areas are calculated;

[0039] Step 3: Compare the measured value with the virtual AI standard value. When the measured value is greater than the virtual AI standard value, it is determined that the student's sitting posture is abnormal;

[0040] The sitting posture warning module is used to remind students whose sitting posture exceeds the threshold range of the standard distance to correct their sitting posture.

[0041] The teaching management terminal includes a teaching monitoring module, an abnormality judgment module, an abnormality correction module and a teaching tracking module;

[0042] The teaching monitoring module includes a video capture module and a teaching monitoring unit;

[0043] The video capture module is used to take real-time photos of students in seats with corresponding serial numbers through a monitor and record picture information;

[0044] The teaching monitoring unit is used to compare the captured image information with the standard image information through a monitor to see if there is any abnormality in the teaching management. If there is any abnormality, the abnormal position is located and a voice broadcast reminder is given.

[0045] The abnormality judgment module includes a voice conversion module;

[0046] The voice conversion module is used to automatically recognize the voice uttered by the student and convert it into text through a voice converter, and compare the converted text information with the correct answer to determine whether the student's answer content in teaching management is correct.

[0047] The abnormality correction module includes a sequence number reminder module;

[0048] The sequence number reminder module is used to answer and remind seats for which voice conversion is not recognized;

[0049] The teaching tracking module includes a visual display module;

[0050] The visual display module is used to display the students who answer incorrectly through a red light display.

[0051] The present invention has the following beneficial effects:

[0052] 1. In the present invention, by setting an object recognition terminal, the positions of students in different positions in the classroom are sorted and whether the students exceed their positions is monitored in real time, so that when the teacher turns his back to the students, it is possible to monitor whether the students leave their seats, obtain the three-dimensional values ​​of the students through a three-dimensional scanner, and check in real time whether the values ​​of the students with corresponding serial numbers are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given, and a voice reminder can be given to students who leave the designated seat position, thereby improving the teaching management effect.

[0053] 2. In the present invention, by setting a sitting posture judgment terminal, the standard sitting posture of a virtual AI character is displayed, and guidance prompts are broadcast in real time, so that it is possible to accurately judge whether the student's sitting posture is standard, and remind the student to adjust the correct sitting posture in time. By real-time tracking of the student's sitting posture and measuring the basic data of the sitting posture, it is possible to judge whether the student's sitting posture is standard in time during teaching management. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued, which is convenient for reminding students to correct the abnormal sitting posture, and the intelligence of the teaching management system is enhanced.

[0054] 3. In the present invention, by setting up a teaching management terminal, the video capture device is used to monitor the students' listening status during teaching management in real time, and the listening status of each student can be monitored in real time. In particular, when students are interacting with each other through questions and answers, the voice of the students' answers is converted into text through the voice conversion module to determine whether the answer content is correct. If it is abnormal, a red light will be turned on according to the sequence number, and if the answer is correct, a green light will be turned on. The wrong content of the student's answer can be corrected in time. At the same time, the lights of the seats where the voice is not recognized are off, so that the teacher can accurately identify the students who have not answered the questions and avoid teaching differences in teaching management. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a schematic diagram of the overall architecture of an intelligent teaching management system based on IOP Internet of Things in the present invention;

[0056] Figure 2 This is a schematic diagram of the architecture of an object recognition terminal of an intelligent teaching management system based on IOP Internet of Things in the present invention;

[0057] Figure 3 This is a schematic diagram of the structure of a sitting posture judgment terminal of an intelligent teaching management system based on IOP Internet of Things in the present invention;

[0058] Figure 4 The diagram is a schematic diagram of the architecture of a teaching management terminal of an IOP-based intelligent teaching management system according to the present invention. DETAILED DESCRIPTION

[0059] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0060] Embodiment 1

[0061] Please refer to Figure 1-2 As shown: A smart teaching management system based on IOP Internet of Things, including an object recognition terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module;

[0062] The object recognition end is used to sort the students at different positions in the classroom and monitor in real time whether the students are out of their positions. The three-dimensional values ​​of the students are obtained through a three-dimensional scanner, and the values ​​of the students with corresponding serial numbers are checked in real time to see if they are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given;

[0063] The sitting posture judgment terminal is used to display the standard sitting posture of a virtual AI character and provide real-time broadcast guidance prompts. In teaching management, the student's sitting posture is tracked in real time and the basic sitting posture data is measured to determine whether the student's sitting posture is standard. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued;

[0064] The teaching management terminal is used to monitor the students' listening status in real time during teaching management through the video capture device, and convert the students' answers into text through the voice conversion module to determine whether the answers are correct. If there are any abnormalities, the red light will be turned on according to the sequence number to monitor the teaching management effect in real time;

[0065] The voice amplification level module includes an arrangement definition module, a volume level module and a reaction tracking module, and the voice amplification level module is connected with the object recognition end, the sitting posture judgment end and the teaching management end;

[0066] The arrangement definition module is used to sort the seat numbers of each row according to the seats;

[0067] The volume level module is used to adjust the voice announcement volume level according to the sorted seat number;

[0068] The response tracking module is used to track student responses in teaching management through computer equipment.

[0069] The object recognition end includes a location positioning module, an object recognition module, and a sorting and tracking module;

[0070] The position positioning module includes a position sorting unit, a position positioning module and a positioning judgment module;

[0071] The position sorting unit is used to sort the seats by Arabic numerals;

[0072] The location positioning module is used to locate the student's seat through GPS and set the movement threshold range of the GPS-located seat;

[0073] The positioning judgment module is used to locate the student's position, compare the located student position with the movement threshold range of the GPS-located seat, and determine whether the student's teaching seat is abnormal.

[0074] The object recognition module includes a three-dimensional measurement module and a sequence number broadcasting module;

[0075] The three-dimensional measurement module is used to scan the three-dimensional values ​​of students in corresponding seats through a three-dimensional scanner;

[0076] The serial number broadcast module is used to compare the measured three-dimensional value with the student stored value corresponding to the serial number. If the comparison result between the measured three-dimensional value and the stored value is greater than 1, an error broadcast prompt corresponding to the serial number will be issued.

[0077] The sorting tracking module includes a sequence number self-tracking module and a sorting early warning module;

[0078] The serial number self-tracking module is used to capture the corresponding serial number seat movement position through the monitor to achieve self-tracking. The tracking formula is as follows:

[0079]

[0080] Where F represents the measured three-dimensional value, C represents the transmission rate, D represents the student storage value, and [N] represents the number of seats in the sampling interval between the sampled seat and the target seat;

[0081] The sorting warning module is used to issue abnormal reminders to seats that are judged to be abnormal through a buzzer.

[0082] By sorting the positions of students in different positions in the classroom and monitoring in real time whether students go beyond their positions, it is possible to monitor whether students leave their seats when the teacher has his back to them. The three-dimensional values ​​of the students are obtained through a three-dimensional scanner, and the corresponding values ​​of the students with serial numbers are checked in real time to see if they are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder will be given. Voice reminders can be given to students who leave their designated seats, thereby improving the teaching management effect.

[0083] Embodiment 2

[0084] Please refer to Figure 3 As shown: A smart teaching management system based on IOP Internet of Things, including an object recognition terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module;

[0085] The object recognition end is used to sort the students at different positions in the classroom and monitor in real time whether the students are out of their positions. The three-dimensional values ​​of the students are obtained through a three-dimensional scanner, and the values ​​of the students with corresponding serial numbers are checked in real time to see if they are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given;

[0086] The sitting posture judgment terminal is used to display the standard sitting posture of a virtual AI character and provide real-time broadcast guidance prompts. In teaching management, the student's sitting posture is tracked in real time and the basic sitting posture data is measured to determine whether the student's sitting posture is standard. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued;

[0087] The teaching management terminal is used to monitor the students' listening status in real time during teaching management through the video capture device, and convert the students' answers into text through the voice conversion module to determine whether the answers are correct. If there are any abnormalities, the red light will be turned on according to the sequence number to monitor the teaching management effect in real time;

[0088] The voice amplification level module includes an arrangement definition module, a volume level module and a reaction tracking module, and the voice amplification level module is connected with the object recognition end, the sitting posture judgment end and the teaching management end;

[0089] The arrangement definition module is used to sort the seat numbers of each row according to the seats;

[0090] The volume level module is used to adjust the voice announcement volume level according to the sorted seat number;

[0091] The response tracking module is used to track student responses in teaching management through computer equipment.

[0092] The sitting posture judgment end includes a sitting posture collection module, an AI guidance module, a sitting posture tracking module, and a sitting posture warning module;

[0093] The sitting posture acquisition module includes an image capturing module and a threshold determination module;

[0094] The image capture module is used to capture the basic data of students’ sitting postures from multiple angles through cameras;

[0095] The threshold determination module is used to set the sitting posture threshold range of the standard distance.

[0096] The AI ​​guidance module includes a virtual AI display module and a guidance broadcast module;

[0097] The virtual AI display module is used to display the standard sitting posture on the computer device through the virtual AI;

[0098] The guidance announcement module is used to announce the standard sitting posture through a voice announcer.

[0099] The sitting posture tracking module is used to record the student's sitting posture values ​​in real time through the camera and determine whether the sitting posture is standard. The judgment steps are as follows:

[0100] Step 1: Place a laser rangefinder in the middle of the seat back, in the middle of the seat back, and below the seat back. Use the laser rangefinder to obtain the distance between every two laser rangefinders. Use the processor to form a rectangular coordinate axis with the seat surface. Set the points of the three laser rangefinders to A, B, and C, respectively, and obtain the distances between AB, BC, and AC.

[0101] Step 2: When the student sits on the chair, the distance between the student's upper body and points A, B and C is obtained through a distance meter. If the detection distances of points A, B and C are equal, the length occupied by the back of the human body is not calculated, and the sitting posture is judged to be correct. If the distances of points A, B and C are not equal, the length AB and length BC occupied by the student's back in the AB, BC and AC areas are calculated;

[0102] Step 3: Compare the measured value with the virtual AI standard value. When the measured value is greater than the virtual AI standard value, it is determined that the student's sitting posture is abnormal;

[0103] The sitting posture warning module is used to remind students who exceed the sitting posture threshold range of the standard distance to correct their sitting posture.

[0104] By displaying the standard sitting posture of a virtual AI character and broadcasting guidance prompts in real time, it is possible to accurately judge whether the student's sitting posture is standard and remind students to adjust the correct sitting posture in time. By real-time tracking of students' sitting posture and measuring basic sitting posture data, it is possible to judge whether the student's sitting posture is standard in time during teaching management. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt will be issued to remind students to correct the abnormal sitting posture, thereby enhancing the intelligence of the teaching management system.

[0105] Embodiment 3

[0106] Please refer to Figure 4 As shown: A smart teaching management system based on IOP Internet of Things, including an object recognition terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module;

[0107] The object recognition end is used to sort the students at different positions in the classroom and monitor in real time whether the students are out of their positions. The three-dimensional values ​​of the students are obtained through a three-dimensional scanner, and the values ​​of the students with corresponding serial numbers are checked in real time to see if they are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given;

[0108] The sitting posture judgment terminal is used to display the standard sitting posture of a virtual AI character and provide real-time broadcast guidance prompts. In teaching management, the student's sitting posture is tracked in real time and the basic sitting posture data is measured to determine whether the student's sitting posture is standard. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued;

[0109] The teaching management terminal is used to monitor the students' listening status in real time during teaching management through the video capture device, and convert the students' answers into text through the voice conversion module to determine whether the answers are correct. If there are any abnormalities, the red light will be turned on according to the sequence number to monitor the teaching management effect in real time;

[0110] The voice amplification level module includes an arrangement definition module, a volume level module and a reaction tracking module, and the voice amplification level module is connected with the object recognition end, the sitting posture judgment end and the teaching management end;

[0111] The arrangement definition module is used to sort the seat numbers of each row according to the seats;

[0112] The volume level module is used to adjust the voice announcement volume level according to the sorted seat number;

[0113] The response tracking module is used to track student responses in teaching management through computer equipment.

[0114] The teaching management end includes a teaching monitoring module, an abnormality judgment module, an abnormality correction module, and a teaching tracking module;

[0115] The teaching monitoring module includes a video capture module and a teaching monitoring unit;

[0116] The video capture module is used to take real-time photos of students in seats with corresponding serial numbers through the monitor and record the picture information;

[0117] The teaching monitoring unit is used to compare the captured image information with the standard image information through the monitor to see if there is any abnormality in the teaching management. If there is any abnormality, the abnormal position is located and a voice broadcast reminder is given.

[0118] The abnormality judgment module includes a voice conversion module;

[0119] The voice conversion module is used to automatically recognize the voice of students and convert it into text through a voice converter. The converted text information is compared with the correct answer to determine whether the student's answer is correct in teaching management.

[0120] The abnormality correction module includes a sequence number reminder module;

[0121] The serial number reminder module is used to answer and remind seats that have not been recognized for voice conversion;

[0122] The teaching tracking module includes a visual display module;

[0123] The visual display module is used to display the students who answer incorrectly through a red light display.

[0124] According to the video capture device, students' listening status is monitored in real time during teaching management. The listening status of each student can be monitored in real time, especially when students are interacting with each other through questions and answers. The voice conversion module converts the student's answer into text to determine whether the answer is correct. If it is abnormal, the red light will be turned on according to the sequence number, and the green light will be turned on if the answer is correct. The wrong content of the student's answer can be corrected in time. At the same time, the lights of the seats where the voice is not recognized are off, so that the teacher can accurately identify the students who have not answered the question and avoid teaching differences in teaching management.

[0125] In the present invention, a smart teaching management system based on IOP Internet of Things is provided. When the system is in operation, the seat number of each row is first sorted according to the seat, the voice broadcast volume level is adjusted according to the sorted seat number, and the student response in the teaching management is tracked through computer equipment. In the teaching management, the students in different positions in the classroom are sorted and the students are monitored in real time to see whether they are out of their positions, so that when the teacher turns his back to the students, it is possible to monitor whether the students are out of their seats, obtain the three-dimensional values ​​of the students through a three-dimensional scanner, and check in real time whether the values ​​of the students with corresponding serial numbers are abnormal, and if the value comparison is detected to be abnormal, a voice broadcast reminder is given, and a voice reminder can be given to the students who are out of the designated position of the seat, thereby improving the teaching management effect; the standard sitting posture of the virtual AI character is displayed, and the guidance prompts are broadcast in real time, so that it is possible to accurately judge whether the student's sitting posture is standard, and remind the student to adjust the correct sitting posture in time, and the real-time tracking and measurement of the student's sitting posture The basic data of sitting posture can timely judge whether the student's sitting posture is standard in teaching management. If the sitting posture is abnormal, a sitting posture adjustment broadcast prompt will be issued to remind students with abnormal sitting posture to correct it, which enhances the intelligence of the teaching management system. According to the video capture device, the students' listening status during teaching management can be monitored in real time. The listening status of each student can be monitored in real time, especially when students are interacting with each other through questions and answers. The voice conversion module converts the voice of the student's answer into text to judge whether the answer is correct. If it is abnormal, the red light will be turned on according to the sequence number, and the green light will be turned on if the answer is correct. The wrong content of the student's answer can be corrected in time. At the same time, the seat whose voice is not recognized is off, so that the teacher can accurately identify the students who have not answered the question, avoid teaching differences in teaching management, and make it easy for the teaching management system to monitor whether the student is out of the seat, judge whether the student's sitting posture is abnormal, and monitor whether the student's question and answer interaction is correct, which increases the convenience of teaching management. The whole system is highly intelligent and practical.

[0126] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart teaching management system based on IOP Internet of Things, characterized by: The smart teaching management system includes an object recognition terminal, a sitting posture judgment terminal, a teaching management terminal and a voice amplification level module; The object recognition terminal is used to sort the positions of students at different positions in the classroom and monitor in real time whether the students are beyond their positions, obtain the three-dimensional values ​​of the students through a three-dimensional scanner, and check in real time whether the values ​​of the students with corresponding serial numbers are abnormal. If an abnormality is detected in the value comparison, a voice broadcast reminder is given; The sitting posture judgment terminal is used to display the standard sitting posture of a virtual AI character and give real-time broadcast guidance prompts. In teaching management, the student's sitting posture is tracked in real time and the basic sitting posture data is measured to judge whether the student's sitting posture is standard. If the sitting posture is judged to be abnormal, a sitting posture adjustment broadcast prompt is issued; The teaching management terminal is used to monitor the students' listening status in real time during teaching management through the video capture device, convert the students' answers into text through the voice conversion module, judge whether the answer content is correct, and turn on the red light according to the sequence number if it is abnormal, so as to monitor the teaching management effect in real time; The voice amplification level module includes an arrangement definition module, a volume level module and a reaction tracking module, and the voice amplification level module is connected to the object recognition end, the sitting posture judgment end and the teaching management end; The arrangement definition module is used to sort the seat numbers of each row according to the seats; The volume level module is used to adjust the voice broadcast volume level according to the sorted seat numbers; The reaction tracking module is used to track student reactions in teaching management through computer equipment.

2. The system according to claim 1, characterized in that The object recognition end includes a position positioning module, an object recognition module and a sorting tracking module; The position positioning module includes a position sorting unit, a position positioning module and a positioning judgment module; The position sorting unit is used to sort the seats by Arabic numerals; The position positioning module is used to locate the student's seat through GPS and set the movement threshold range of the GPS-located seat; The positioning judgment module is used to locate the student's position, compare the located student position with the movement threshold range of the GPS-located seat, and determine whether the student's teaching seat is abnormal.

3. The system according to claim 2, characterized in that The object recognition module includes a three-dimensional measurement module and a sequence number broadcasting module; The three-dimensional measurement module is used to scan the three-dimensional values ​​of students in corresponding seats through a three-dimensional scanner; The serial number broadcast module is used to compare the measured three-dimensional value with the student stored value corresponding to the serial number. If the comparison result between the measured three-dimensional value and the stored value is greater than 1, an error broadcast prompt corresponding to the serial number is issued.

4. The system according to claim 3, characterized in that The sequencing tracking module includes a sequence number self-tracking module and a sequencing early warning module; The serial number self-tracking module is used to capture the corresponding serial number seat moving position through the monitor to achieve self-tracking. The tracking formula is as follows: Where F represents the measured three-dimensional value, C represents the transmission rate, D represents the student storage value, and [N] represents the number of seats in the sampling interval between the sampled seat and the target seat; The sorting warning module is used to issue abnormal reminders to seats that are judged to be abnormal through a buzzer.

5. The system according to claim 1, characterized in that The sitting posture judgment terminal includes a sitting posture acquisition module, an AI guidance module, a sitting posture tracking module and a sitting posture warning module; The sitting posture acquisition module includes an image capture module and a threshold determination module; The image capture module is used to capture basic data of students' sitting postures from multiple angles through a camera; The threshold determination module is used to set a sitting posture threshold range of a standard distance.

6. The system according to claim 5, characterized in that The AI ​​guidance module includes a virtual AI display module and a guidance broadcast module; The virtual AI display module is used to display the standard sitting posture on the computer device through virtual AI; The guidance announcement module is used to announce the standard sitting posture through a voice announcer.

7. The system according to claim 6, characterized in that The sitting posture tracking module is used to record the student's sitting posture value in real time through a camera and determine whether the sitting posture is standard. The determination steps are as follows: Step 1: Place a laser rangefinder in the middle of the seat back, in the middle of the seat back, and below the seat back. Use the laser rangefinder to obtain the distance between every two laser rangefinders. Use the processor to form a rectangular coordinate axis with the seat surface. Set the points of the three laser rangefinders to A, B, and C, respectively, and obtain the distances between AB, BC, and AC. Step 2: When the student sits on the chair, the distance between the student's upper body and points A, B and C is obtained through a distance meter. If the detection distances of points A, B and C are equal, the length occupied by the back of the human body is not calculated, and the sitting posture is judged to be correct. If the distances of points A, B and C are not equal, the length AB and length BC occupied by the student's back in the AB, BC and AC areas are calculated; Step 3: Compare the measured value with the virtual AI standard value. When the measured value is greater than the virtual AI standard value, it is determined that the student's sitting posture is abnormal; The sitting posture warning module is used to remind students whose sitting posture exceeds the threshold range of the standard distance to correct their sitting posture.

8. The system according to claim 1, characterized in that The teaching management terminal includes a teaching monitoring module, an abnormality judgment module, an abnormality correction module and a teaching tracking module; The teaching monitoring module includes a video capture module and a teaching monitoring unit; The video capture module is used to take real-time photos of students in seats with corresponding serial numbers through a monitor and record picture information; The teaching monitoring unit is used to compare the captured image information with the standard image information through a monitor to see if there is any abnormality in the teaching management. If there is any abnormality, the abnormal position is located and a voice broadcast reminder is given.

9. The system according to claim 8, characterized in that The abnormality judgment module includes a voice conversion module; The voice conversion module is used to automatically recognize the voice uttered by the student and convert it into text through a voice converter, and compare the converted text information with the correct answer to determine whether the student's answer content in teaching management is correct.

10. The system according to claim 9, characterized in that The abnormality correction module includes a sequence number reminder module; The sequence number reminder module is used to answer and remind seats for which voice conversion is not recognized; The teaching tracking module includes a visual display module; The visual display module is used to display the students who give incorrect answers through a red light display.

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