CN111984065A - Big data interactive teaching practical training platform - Google Patents
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- CN111984065A CN111984065A CN202010844248.1A CN202010844248A CN111984065A CN 111984065 A CN111984065 A CN 111984065A CN 202010844248 A CN202010844248 A CN 202010844248A CN 111984065 A CN111984065 A CN 111984065A
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Abstract
The invention discloses a big data interactive teaching practical training platform, which comprises a platform main body, wherein the upper surface of the platform main body is provided with a cover body, one side of the platform main body is provided with a radiating net, the lower surface of the platform main body is provided with a lifting rod, the bottom of the lifting rod is provided with a rubber pad, the cover body is provided with a fixed rod, the fixed rod is provided with a support rod, the joint of the fixed rod and the connecting rod is provided with a bolt, the support rod is fixedly connected with a display, the inner wall of the platform main body is provided with the platform main body, the platform main body is connected with a video recording device, and the platform main body is connected, can real-time understanding student's learning state, the teacher can on-the-spot teaching simultaneously, and the live broadcast of teaching and record the video, to the teacher of different heights, it is convenient to use and adjust, and is more comfortable, and heat dispersion is good.
Description
Technical Field
The invention relates to the field of teaching platforms, in particular to a big data interactive teaching practical training platform.
Background
With the development of network science and technology, network teaching develops faster and faster, and network individual users can watch teaching videos by using mobile phones or other terminal devices, but the watching is inconvenient, for example, the users can watch videos by using mobile phones, the mobile phones are not convenient to put, and the mobile phones are not only stiff in body and inconvenient to operate due to long-term holding of the mobile phones. In addition, the existing teaching platform cannot be interactive, cannot be simply and conveniently adapted to users such as schools and the like with teaching functions and more students, and cannot check the learning states of the students.
Therefore, technical personnel in the field are dedicated to developing a big data interactive teaching training platform which is comfortable and convenient to use for a learning terminal, suitable for interactive teaching and suitable for schools. In view of the above defects in the prior art, the invention aims to provide a big data interactive teaching practical training platform which is comfortable and convenient for a learning terminal to use, is suitable for interactive teaching and is suitable for schools to use.
Disclosure of Invention
The invention mainly aims to provide a big data interactive teaching practical training platform which can effectively solve the problems explained in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a big data interactive teaching and practical training platform comprises a teaching big data teaching platform main body arranged in a classroom and a handheld device main body matched with the teaching big data teaching platform main body, wherein a cover body is arranged on the upper surface of the platform main body, a radiating net is arranged on one side of the platform main body, a lifting rod is arranged on the lower surface of the platform main body, a rubber pad is arranged at the bottom of the lifting rod, a fixing rod is arranged on the cover body, a supporting rod is arranged on the fixing rod, a bolt is arranged at the joint of the fixing rod and the connecting rod, a display is fixedly connected onto the supporting rod, a radiating fan is arranged on the inner wall of the radiating net, an outer frame is arranged on the handheld device main body, a display touch screen is arranged on the handheld device main body, a camera is arranged at the top of the outer frame, sound boxes are arranged, the back of the handheld device main body is provided with a rectangular groove, a supporting plate is arranged at the top of the inner wall of the rectangular groove, a cover plate is connected to the bottom of the handheld device main body, a containing groove is formed in the upper surface of the cover plate, a second magnet is arranged on one side of the upper surface of the cover plate, a video recording device is connected to the teaching big data platform main body, a radio device is connected to the teaching big data platform main body, and an eye tracker device is arranged at the top of the outer frame.
Preferably, the lifting rods and the rubber pads are four groups in number, the lifting rods are in a rectangular array, and the lifting rods correspond to the rubber pads respectively.
Preferably, the platform main body is electrically connected with the display through a wire, the supporting rod is rotatably connected with the fixing rod through a bolt, and the display is rotatably connected with the fixing rod through the supporting rod.
Preferably, the video recording device is electrically connected with the platform main body through a wire, the radio receiving device is electrically connected with the platform main body through a wire, the number of the heat dissipation fans is two, and the heat dissipation fans are in a rectangular array.
Preferably, the camera quantity is two sets of, the camera is the central line symmetry, stereo set quantity is two sets of, the stereo set is the central line symmetry.
Preferably, rectangular channel quantity is two sets of, backup pad quantity is two sets of, the size looks adaptation of backup pad and rectangular channel, first magnetite and second magnetite position size looks adaptation.
Preferably, the holding tank and the size looks adaptation of backup pad, holding tank quantity is ten groups, the holding tank is two rows, every row of holding tank is the equidistance and arranges.
In one embodiment, the platform body further comprises:
the fingerprint acquisition module is arranged on the cover body and used for acquiring fingerprint information;
the angle adjusting module is arranged on the sound receiving device;
the infrared sensor is arranged on the cover body and used for acquiring an infrared signal of a target user;
the image acquisition module is arranged on the cover body and used for acquiring image information including a target user;
the control module is respectively connected with the fingerprint acquisition module, the angle adjustment module, the infrared sensor and the image acquisition module and is used for:
receiving the fingerprint information acquired by the fingerprint acquisition module, calculating the correlation distance between the fingerprint information and a fingerprint feature vector in preset fingerprint information, determining a user providing the fingerprint information as a target user and controlling the infrared sensor and the image acquisition module to start working when determining that the correlation distance of the fingerprint feature vector is smaller than a preset distance threshold;
receiving an infrared signal of a target user sent by the infrared sensor;
receiving image information including a target user shot by the image acquisition module;
determining the position information of the target user according to the infrared signal and the image information;
and the angle adjusting control module adjusts the angle of the sound receiving device according to the position information of the target user.
In an embodiment, the calculating the correlation distance between the fingerprint information and the fingerprint feature vector in the preset fingerprint information includes:
calculating a first mean value of fingerprint feature vectors in fingerprint information
And a first variance σ1：
The method comprises the following steps that N represents the dimension number of fingerprint feature vectors in fingerprint information and also represents the dimension number of the fingerprint feature vectors in preset fingerprint information, wherein the dimension number of the fingerprint feature vectors in the fingerprint information is the same as the dimension number of the fingerprint feature vectors in the preset fingerprint information; w1iRepresenting ith dimension fingerprint feature vector in the fingerprint information;
calculating a second mean value of fingerprint feature vectors in the preset fingerprint information
And a second variance σ2：
Wherein, W2iRepresenting an ith dimension fingerprint feature vector in the preset fingerprint information;
calculating the correlation distance D between the fingerprint information and the fingerprint feature vector in the preset fingerprint information according to the first mean value, the first variance, the second mean value and the second variance:
the smaller the correlation distance is, the higher the matching degree of the fingerprint information and the preset fingerprint information is.
Compared with the prior art, the invention has the following beneficial effects: the large data platform main body is adjusted to different heights through the lifting rod, different angles of the display screen can be adjusted through the rotary connection of the display and the fixed rod, and teachers with different heights are convenient to use and adjust and more comfortable; the handheld device can be fixed at a certain angle through the insertion of the supporting plate and the accommodating groove, so that the hands of students are not required to be held for a long time, and the study and the note taking are facilitated; the learning state of the student can be identified through the eye tracker device on the handheld device main body, the system is allowed to automatically record and send the state condition to the teaching big data platform main body for the student who is eye-closed or does not see the screen, so that a teacher can check at any time conveniently and master the learning state of the student in real time; the heat dissipation efficiency can be improved by the heat dissipation fan on the heat dissipation net.
Drawings
FIG. 1 is a schematic structural diagram of a big data interactive teaching training platform according to the present invention;
FIG. 2 is a vertical drawing of a big data interactive teaching training platform according to the present invention;
FIG. 3 is a front view of a handheld device body of the present invention;
FIG. 4 is a rear view of a handheld device body of the present invention;
fig. 5 is a block diagram of a big data interactive teaching training platform of the present invention.
In the figure: 1. a platform body; 2. a cover body; 3. a heat-dissipating web; 4. a lifting rod; 5. a rubber pad; 6. fixing the rod; 7. a support bar; 8. a bolt; 9. a display; 10. a heat radiation fan; 11. a handheld device body; 12. an outer frame; 13. displaying a touch screen; 14. a camera; 15. sounding; 16. a microphone; 17. a first magnet; 18. a rectangular groove; 19. a support plate; 20. a cover plate; 21. accommodating grooves; 22. a second magnet; 23. a video recording device; 24. a sound receiving device; 25. an eye tracker device; 26. a fingerprint acquisition module; 27. an angle adjustment module; 28. an infrared sensor; 29. an image acquisition module; 30. and a control module.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the technical scheme of the invention is further elaborated below.
As shown in fig. 1-4, the big data interactive teaching training platform in this embodiment includes a platform main body 1, a cover 2 is disposed on an upper surface of the platform main body 1, a heat dissipation net 3 is disposed on one side of the platform main body 1, a lifting rod 4 is disposed on a lower surface of the platform main body 1, a rubber pad 5 is disposed at a bottom of the lifting rod 4, a fixing rod 6 is disposed on an upper surface of the cover 2, a support rod 7 is disposed at a top of the fixing rod 6, a bolt 8 is disposed at a joint of the fixing rod 6 and the support rod 7, a display 9 is fixedly connected to a top of the support rod 7, a heat dissipation fan 10 is disposed on an inner wall of the platform main body 1, and is of NF-F12 PWM type, an outer frame 12 is disposed on a front surface of a handheld device main body 11, a display touch screen 13 is disposed, the utility model discloses a teaching device, including frame 12, handheld device main part 11, apron 20, audio device main part 1, frame 12 bottom is provided with microphone 16, the 11 back top of handheld device main part is provided with first magnetite 17, the 11 back of handheld device main part is provided with rectangular channel 18, rectangular channel 18 inner wall top is provided with backup pad 19, the 11 bottom of handheld device main part is connected with apron 20, the apron 20 upper surface is provided with holding tank 21, apron 20 upper surface one side is provided with second magnetite 22, teaching big data platform main part 1 is connected with video device 23 its model is DS-2CD2T10FD-l3, teaching big data platform main part 1 is connected with radio device 24 its model is DLM3002U, frame 12 top is provided with eye movement appearance device 25 its model is Eyeso Ec80 Pro.
In the embodiment, the lifting rods 4 are four groups, the lifting rods 4 are symmetrical about the central line, the rubber pads 5 are four groups, and the lifting rods 4 and the rubber pads 5 are respectively corresponding to each other, so that the platform main body 1 is stably placed; the platform main body 1 is electrically connected with the display 9 through a wire, the supporting rod 7 is rotatably connected with the fixed rod 6 through the bolt 8, the display 9 is rotatably connected with the fixed rod 6 through the supporting rod 7, a display screen can be adjusted to different angles, and the use is convenient and comfortable; the video device 23 is electrically connected with the platform main body 1 through a wire, the radio device 24 is electrically connected with the platform main body 1 through a wire, the number of the cooling fans 10 is two, and the cooling fans 10 are in a rectangular array; the number of the cameras 14 is two, the cameras 14 are symmetrical in the center line, the number of the sound boxes 15 is two, the sound boxes 15 are symmetrical in the center line, and the symmetrical design is attractive; the number of the rectangular grooves 18 is two, the number of the supporting plates 19 is two, the supporting plates 19 are matched with the size of the rectangular grooves 18, and the first magnets 17 are matched with the second magnets 22 in position and size, so that the first magnets can be better accommodated when not used; accommodation tank 21 and backup pad 19's size looks adaptation, accommodation tank 21 quantity is ten groups, accommodation tank 21 is two rows, every row of accommodation tank 21 is the equidistance and arranges. The user can fix the handheld device main body 11 at a certain angle without holding for a long time through the insertion of the supporting plate 19 and the accommodating groove 21, thereby freeing the hands of students.
The invention relates to a big data interactive teaching training platform, which adopts the use principle that a picture is transmitted to a big data teaching platform main body 1 through a video device 23 and a radio device 24, and the picture is transmitted to a handheld equipment main body 11 through network connection. When in use, a user can adjust the big data platform main body 1 to different heights through the lifting rod 4, different angles of the display screen can be adjusted through the rotating connection of the display 9 and the fixed rod 6, teachers with different heights can use and adjust the big data platform main body conveniently and comfortably, the heat dissipation efficiency is improved through the heat dissipation fan 10 arranged in the heat dissipation net 3, the user can fix the handheld device main body 11 at a certain angle through the plug-in connection of the supporting plate 19 and the accommodating groove 21, hands of students are not required to be held and liberated for a long time, the study and the note taking are convenient, the cover plate 20 can be covered firmly through the magnetic attraction of the first magnet 17 and the second magnet 22, the carrying is more convenient, the user can identify the study state of the students through the eye tracker device 25 on the handheld device main body 11, the system can automatically record and send the state condition to the teaching big data platform main body 1 for the students with eyes closed or without watching the screen, the teacher can check the student at any time, and the teacher can conveniently know the learning condition of the student in real time.
As shown in fig. 5, in an embodiment, the platform body 1 further includes:
a fingerprint acquisition module 26, disposed on the cover 2, for acquiring fingerprint information;
the angle adjusting module 27 is arranged on the sound receiving device 24;
an infrared sensor 28, disposed on the cover 2, for acquiring an infrared signal of a target user;
an image acquisition module 29, disposed on the cover 2, for acquiring image information including a target user;
the control module 30 is respectively connected with the fingerprint acquisition module 26, the angle adjustment module 27, the infrared sensor 28 and the image acquisition module 29, and is configured to:
receiving the fingerprint information acquired by the fingerprint acquisition module 26, calculating the correlation distance between the fingerprint information and a fingerprint feature vector in preset fingerprint information, determining a user providing the fingerprint information as a target user and controlling the infrared sensor 28 and the image acquisition module 29 to start working when determining that the correlation distance of the fingerprint feature vector is smaller than a preset distance threshold;
receiving the infrared signal of the target user sent by the infrared sensor 28;
receiving image information including a target user captured by the image acquisition module 29;
determining the position information of the target user according to the infrared signal and the image information;
the angle adjusting module 27 is controlled to adjust the angle of the sound receiving device 24 according to the position information of the target user.
The working principle of the technical scheme is as follows: the fingerprint acquisition module 26 is configured to acquire fingerprint information of a user, and the control module 30 calculates a correlation distance between the fingerprint information and a fingerprint feature vector in preset fingerprint information, where the smaller the correlation distance is, the higher the matching degree between the fingerprint information and the preset fingerprint information is; the larger the correlation distance is, the higher the matching degree of the fingerprint information and the preset fingerprint information is, and when it is determined that the correlation distance of the fingerprint feature vector is smaller than the preset distance threshold, the matching degree of the fingerprint information and the preset fingerprint information meets the preset matching degree requirement, that is, the user is a legal user, the user providing the fingerprint information is determined as a target user, and the infrared sensor 28 and the image acquisition module 29 are controlled to start working; the infrared sensor 28 acquires an infrared signal of a target user, the image information of the target user is included, the image acquisition module 29 captures image information of the target user, the control module 30 determines position information of the target user according to the infrared signal and the image information, the position information of the target user is sent to the angle adjusting module 27, and the angle adjusting module 27 adjusts the angle of the sound receiving device 24 according to the position information of the target user.
The beneficial effects of the above technical scheme are that: and determining the legality of the user identity, locking the target user and starting the corresponding device of the platform main body to start when determining that the user identity is legal, so that the use safety of the platform main body is ensured. The target user is locked through the angle adjusting module 27, the angle of the radio reception device 24 is adjusted along with the movement of the target user, so that the radio reception device 24 can acquire more accurate voice signals of the target user, the voice definition is improved, the radio reception effect is improved, and the experience of a user of the handheld device main body is improved.
In an embodiment, the calculating the correlation distance between the fingerprint information and the fingerprint feature vector in the preset fingerprint information includes:
calculating a first mean value of fingerprint feature vectors in fingerprint information
And a first variance σ1：
The method comprises the following steps that N represents the dimension number of fingerprint feature vectors in fingerprint information and also represents the dimension number of the fingerprint feature vectors in preset fingerprint information, wherein the dimension number of the fingerprint feature vectors in the fingerprint information is the same as the dimension number of the fingerprint feature vectors in the preset fingerprint information; w1iRepresenting ith dimension fingerprint feature vector in the fingerprint information;
calculating a second mean value of fingerprint feature vectors in the preset fingerprint information
And a second variance σ2：
Wherein, W2iRepresenting an ith dimension fingerprint feature vector in the preset fingerprint information;
calculating the correlation distance D between the fingerprint information and the fingerprint feature vector in the preset fingerprint information according to the first mean value, the first variance, the second mean value and the second variance:
the smaller the correlation distance is, the higher the matching degree of the fingerprint information and the preset fingerprint information is.
The working principle and the beneficial effects of the technical scheme are as follows: by calculating a first mean value of fingerprint feature vectors in the fingerprint information
And a first variance σ1Presetting a second mean value of the fingerprint feature vector in the fingerprint information
And a second variance σ2And calculating a correlation distance D of the fingerprint information and a fingerprint feature vector in the preset fingerprint information according to the first mean value, the first variance, the second mean value and the second variance, so as to ensure the accuracy of the calculation of the correlation distance, wherein the smaller the correlation distance is, the higher the matching degree of the fingerprint information and the preset fingerprint information is, and when the correlation distance of the fingerprint feature vector is determined to be smaller than a preset distance threshold value, the larger the matching degree of the fingerprint information and the preset fingerprint information is, so that the accuracy of judging the target user is improved. The fingerprint feature vectors include ridge vectors, which are a feature vector describing the trend of the fingerprint ridge.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The utility model provides a real platform of instructing of big data interactive teaching which characterized in that: comprises a platform main body (1), a cover body (2) is arranged on the upper surface of the platform main body (1), a radiator net (3) is arranged on one side of the platform main body (1), a lifting rod (4) is arranged on the lower surface of the platform main body (1), a rubber pad (5) is arranged at the bottom of the lifting rod (4), a fixed rod (6) is arranged on the upper surface of the cover body (2), a supporting rod (7) is arranged at the top of the fixed rod (6), a bolt (8) is arranged at the joint of the fixed rod (6) and the connecting rod (7), a display (9) is fixedly connected with the top of the supporting rod (7), a radiator fan (10) is arranged on the inner wall of the radiator net (3), an outer frame (12) is arranged on the front side of a handheld device main body (11), a display touch screen (13, frame (12) both sides are provided with stereo set (15), frame (12) bottom is provided with microphone (16), handheld device main part (11) back top is provided with first magnetite (17), handheld device main part (11) back is provided with rectangular channel (18), rectangular channel (18) top inner wall is provided with backup pad (19), handheld device main part (11) bottom is connected with apron (20), apron (20) upper surface is provided with holding tank (21), there is second magnetite (22) apron (20) upper surface one side, the big data platform main part of teaching (1) is connected with video recording device (23), the big data platform main part of teaching (1) is connected with radio reception device (24), frame (12) top is provided with eye-actuated appearance device (25).
2. The big data interactive teaching practical training platform according to claim 1, characterized in that: the lifting rods (4) and the rubber pads are four groups in number, the lifting rods (4) are in a rectangular array, and the lifting rods (4) correspond to the rubber pads (5) respectively.
3. The big data interactive teaching practical training platform according to claim 1, characterized in that: platform main part (1) passes through wire and display (9) electric connection, bracing piece (7) rotate with dead lever (6) through bolt (9) and are connected, display (9) rotate with dead lever (6) through bracing piece (7) and are connected.
4. The big data interactive teaching practical training platform according to claim 1, characterized in that: the video recording device (23) is electrically connected with the platform main body (1) through a wire, the sound receiving device (24) is electrically connected with the platform main body (1) through a wire, the number of the heat dissipation fans (10) is two, and the heat dissipation fans (10) are rectangular arrays.
5. The big data interactive teaching practical training platform according to claim 1, characterized in that: the quantity of camera (14) is two sets of, camera (14) are the central line symmetry, stereo set (15) quantity is two sets of, stereo set (15) are the central line symmetry.
6. The big data interactive teaching practical training platform according to claim 1, characterized in that: rectangular channel (18) quantity is two sets of, backup pad (19) quantity is two sets of, the size looks adaptation of backup pad (19) and rectangular channel (18), first magnetite (17) and second magnetite (22) position size looks adaptation.
7. The big data interactive teaching practical training platform according to claim 1, characterized in that: the size looks adaptation of holding tank (21) and backup pad (19), holding tank (21) quantity is ten groups, holding tank (21) are two rows, every row of holding tank (21) is the equidistance and arranges.
8. The big data interactive teaching practical training platform according to claim 1, characterized in that: the platform body (1) further comprises:
the fingerprint acquisition module (26) is arranged on the cover body (2) and is used for acquiring fingerprint information;
the angle adjusting module (27) is arranged on the sound receiving device (24);
the infrared sensor (28) is arranged on the cover body (2) and is used for acquiring an infrared signal of a target user;
the image acquisition module (29) is arranged on the cover body (2) and is used for acquiring image information including a target user;
the control module (30) is respectively connected with the fingerprint acquisition module (26), the angle adjusting module (27), the infrared sensor (28) and the image acquisition module (29) and is used for:
receiving the fingerprint information acquired by the fingerprint acquisition module (26), calculating the correlation distance between the fingerprint information and a fingerprint feature vector in preset fingerprint information, determining a user providing the fingerprint information as a target user and controlling the infrared sensor (28) and the image acquisition module (29) to start working when determining that the correlation distance of the fingerprint feature vector is smaller than a preset distance threshold;
receiving an infrared signal of a target user sent by the infrared sensor (28);
receiving image information including a target user shot by the image acquisition module (29);
determining the position information of the target user according to the infrared signal and the image information;
and controlling an angle adjusting module (27) to adjust the angle of the sound receiving device (24) according to the position information of the target user.
9. The big data interactive teaching practical training platform according to claim 8, characterized in that: the calculating the correlation distance between the fingerprint information and the fingerprint feature vector in the preset fingerprint information comprises:
calculating a first mean value of fingerprint feature vectors in fingerprint information
And a first variance σ1：
The method comprises the following steps that N represents the dimension number of fingerprint feature vectors in fingerprint information and also represents the dimension number of the fingerprint feature vectors in preset fingerprint information, wherein the dimension number of the fingerprint feature vectors in the fingerprint information is the same as the dimension number of the fingerprint feature vectors in the preset fingerprint information; w1iRepresenting ith dimension fingerprint feature vector in the fingerprint information;
calculating a second mean value of fingerprint feature vectors in the preset fingerprint information
And a second variance σ2：
Wherein, W2iRepresenting an ith dimension fingerprint feature vector in the preset fingerprint information;
calculating the correlation distance D between the fingerprint information and the fingerprint feature vector in the preset fingerprint information according to the first mean value, the first variance, the second mean value and the second variance:
the smaller the correlation distance is, the higher the matching degree of the fingerprint information and the preset fingerprint information is.
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| CN202010844248.1A CN111984065A (en) | 2020-08-20 | 2020-08-20 | Big data interactive teaching practical training platform |
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| CN202010844248.1A CN111984065A (en) | 2020-08-20 | 2020-08-20 | Big data interactive teaching practical training platform |
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| CN112790558A (en) * | 2021-01-06 | 2021-05-14 | 李彤 | Model rotation display device for internet teaching and use method thereof |
| CN114299769A (en) * | 2022-01-04 | 2022-04-08 | 华北理工大学 | Network teaching device |
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Application publication date: 20201124 |