Intelligent detection system for online education demonstration teaching board

Abstract

The invention relates to an intelligent detection system for an online education demonstration teaching board. The system comprises a data conversion mechanism which is used for converting a field height value of the demonstration teaching board according to a curve length in a height direction of the demonstration teaching board corresponding to an image block where the demonstration teaching board is located and a representative depth-of-field value; and the error identification mechanism is connected with the data conversion mechanism and is used for sending out a demonstration teaching board replacement instruction when the field height value of the demonstration teaching board obtained by conversion is not in a height value range of the demonstration teaching board preset by a server executing online education management. Through the system, on-site height values of the demonstration teaching board can be intelligently analyzed based on various visual information of the demonstration teaching board, so that intelligent identification of on-site heights of the demonstration teaching board which is actually used everywhere is completed, and a guarantee is provided for keeping proper positions and optimal imaging proportions of various parts in an online education playing picture.

Description

Technical Field

[0001] The present invention relates to the field of online education, and more specifically, to an intelligent detection system for an online education demonstration teaching board. Background Art

[0002] The characteristics of online education determine that online learning is mainly self-study. Most of the students' learning time is separated from teachers and classmates. There is no classroom, let alone classroom atmosphere. These characteristics will inevitably make many students who have just started online learning encounter some difficulties or feel uncomfortable. Therefore, distance learning requires learners to have two abilities, that is, to always maintain spontaneous learning motivation and the spirit of active exploration. In addition, with the formation of an information society, a learning society and the advent of the knowledge economy era, education is undergoing profound changes. To participate in online education, it is necessary to change students' learning concepts and perceptions.

[0003] In addition, in order to ensure that each component in the online education playback screen maintains the appropriate position and the best imaging ratio, the online education operator has put forward strict requirements on the size of each component in the online education playback screen. For example, a numerical limit is put forward on the on-site height of the frequently used demonstration teaching board. Once the on-site height of the demonstration teaching board does not meet the expected numerical requirements, the demonstration teaching board needs to be replaced to ensure the final playback effect of the online education playback screen. However, the prior art lacks a targeted and high-precision measurement mechanism for the on-site height of the demonstration teaching board. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides an online education demonstration teaching board intelligent detection system, which can detect the image block where the demonstration teaching board is located in the step-by-step mapping picture based on the brightness value distribution range of the demonstration teaching board, and the brightness value distribution range of the demonstration teaching board is limited by the upper brightness value of the demonstration teaching board and the lower brightness value of the demonstration teaching board. The step-by-step mapping picture is a higher-quality picture obtained after targeted optimization processing of the online education ultra-clear picture, and then the depth of field values ​​corresponding to each pixel in the image block where the demonstration teaching board is located are obtained, and the depth of field value with the highest frequency in the depth of field values ​​is used as the representative depth of field value to achieve the numerical representation of the overall depth of field value of the demonstration teaching board. Finally, according to the curve length in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value, the on-site height value of the demonstration teaching board is converted, thereby completing the intelligent identification of the on-site height of the actual use of the demonstration teaching board at various locations based on various visual data, providing a guarantee for the playback effect of the final online education playback picture.

[0005] The present invention needs to have at least the following important invention points:

[0006] First, based on the brightness value distribution range of the demonstration teaching board, the image block where the demonstration teaching board is located is detected in the step-by-step mapping picture. The brightness value distribution range of the demonstration teaching board is limited by the upper brightness value of the demonstration teaching board and the lower brightness value of the demonstration teaching board. The step-by-step mapping picture is a higher-quality picture obtained after targeted optimization of the ultra-clear picture of online education;

[0007] Second, obtaining the depth of field values ​​corresponding to the pixels in the image block where the demonstration teaching board is located, and taking the depth of field value with the highest frequency among the depth of field values ​​as the representative depth of field value, so as to realize the numerical representation of the overall depth of field value of the demonstration teaching board;

[0008] Third: the on-site height value of the demonstration teaching board is converted according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value. When the representative depth of field value remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located. The length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located. Therefore, based on various visual data, the intelligent identification of the on-site height of the demonstration teaching board actually used in various places is completed, providing valuable reference data for whether to trigger the replacement of the demonstration teaching board in the future.

[0009] According to the present invention, there is provided an online education demonstration teaching board intelligent detection system, the system comprising:

[0010] A user operation device, used to switch the working mode of the ultra-high-definition capture device under user operation, wherein the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is smaller than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode;

[0011] An ultra-high-definition capture device, which is arranged opposite to the teacher who performs online education and is connected to the user operation device, and is used to obtain the shooting picture in the normal mode under the drive of the user operation device and output it as a live capture picture;

[0012] A step-by-step mapping device, connected to the ultra-high-definition capture device, for sequentially performing a gamma correction operation, a point image restoration operation, a Wiener filtering operation, and an edge sharpening operation on the received live captured images, so as to obtain and output a corresponding step-by-step mapping image;

[0013] A block analysis mechanism, connected to the step-by-step mapping device, is used to detect the image block where the demonstration teaching board is located in the received step-by-step mapping picture based on the brightness value distribution interval of the demonstration teaching board, and the brightness value distribution interval of the demonstration teaching board is limited by the upper brightness value of the demonstration teaching board and the lower brightness value of the demonstration teaching board;

[0014] A content recognition mechanism is connected to the block analysis mechanism, and is used to obtain the depth of field values ​​corresponding to the pixels in the image block where the demonstration teaching board is located, and output the depth of field value with the highest frequency among the depth of field values ​​as the representative depth of field value;

[0015] A data conversion mechanism is connected to the content recognition mechanism, and is used to convert the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value. When the representative depth of field value remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, and the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located;

[0016] An error identification mechanism is connected to the data conversion mechanism, and is used to issue a demonstration teaching board replacement instruction when the on-site height value of the demonstration teaching board obtained by conversion is not within the height value range of the demonstration teaching board pre-set by the server executing online education management, otherwise, issue a demonstration teaching board valid instruction;

[0017] Among them, the user operation device is used to switch the working mode of the ultra-high-definition capture device under user operation, the working modes of the ultra-high-definition capture device include power saving mode and normal mode, and the shooting picture resolution of the ultra-high-definition capture device in the power saving mode is smaller than the shooting picture resolution of the ultra-high-definition capture device in the normal mode, including: the shooting picture of the ultra-high-definition capture device in the power saving mode is a standard-definition picture, and the shooting picture of the ultra-high-definition capture device in the normal mode is an ultra-high-definition picture.

[0018] The online education demonstration board intelligent detection system of the present invention has a compact structure and wide application. Since it can intelligently analyze the on-site height value of the demonstration board based on various visual information of the demonstration board, it can complete the intelligent identification of the on-site height of the demonstration board actually used in various places, and provide a guarantee for each component in the online education playback screen to maintain a suitable position and an optimal imaging ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0021] Figure 1 It is a structural diagram of an online education demonstration teaching board intelligent detection system according to the primary embodiment of the present invention.

[0022] Figure 2 It is a structural diagram of an online education demonstration teaching board intelligent detection system according to a secondary embodiment of the present invention.

[0023] Figure 3 It is a structural diagram of an online education demonstration teaching board intelligent detection system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0024] Figure 1 1 is a schematic diagram of the structure of an online education demonstration board intelligent detection system according to the primary embodiment of the present invention, the system comprising:

[0025] A user operation device, used to switch the working mode of the ultra-high-definition capture device under user operation, wherein the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is smaller than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode;

[0026] For example, the user operation device is used to switch the working mode of the ultra-high-definition capture device under the operation of the user, the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is smaller than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode, including: the user operation device is a multi-level control button, which is used to switch the working mode of the ultra-high-definition capture device under the operation of the user, the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is smaller than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode;

[0027] Specifically, the user operation device is a multi-level control button, which is used to switch the working mode of the ultra-high-definition capture device under the operation of the user, the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is less than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode, including: determining whether the working mode of the ultra-high-definition capture device selected by the user is the power saving mode or the normal mode according to different pressing depths of the multi-level control button;

[0028] An ultra-high-definition capture device, which is arranged opposite to the teacher who performs online education and is connected to the user operation device, and is used to obtain the shooting picture in the normal mode under the drive of the user operation device and output it as a live capture picture;

[0029] A step-by-step mapping device, connected to the ultra-high-definition capture device, for sequentially performing a gamma correction operation, a point image restoration operation, a Wiener filtering operation, and an edge sharpening operation on the received live captured images, so as to obtain and output a corresponding step-by-step mapping image;

[0030] A block analysis mechanism, connected to the step-by-step mapping device, is used to detect the image block where the demonstration teaching board is located in the received step-by-step mapping picture based on the brightness value distribution interval of the demonstration teaching board, and the brightness value distribution interval of the demonstration teaching board is limited by the upper brightness value of the demonstration teaching board and the lower brightness value of the demonstration teaching board;

[0031] A content recognition mechanism is connected to the block analysis mechanism, and is used to obtain the depth of field values ​​corresponding to the pixels in the image block where the demonstration teaching board is located, and output the depth of field value with the highest frequency among the depth of field values ​​as the representative depth of field value;

[0032] A data conversion mechanism is connected to the content recognition mechanism, and is used to convert the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value. When the representative depth of field value remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, and the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located;

[0033] An error identification mechanism is connected to the data conversion mechanism, and is used to issue a demonstration teaching board replacement instruction when the on-site height value of the demonstration teaching board obtained by conversion is not within the height value range of the demonstration teaching board pre-set by the server executing online education management, otherwise, issue a demonstration teaching board valid instruction;

[0034] The user operation device is used to switch the working mode of the ultra-high definition capture device under the operation of the user, the working mode of the ultra-high definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high definition capture device in the power saving mode is less than the resolution of the picture shot by the ultra-high definition capture device in the normal mode, including: the picture shot by the ultra-high definition capture device in the power saving mode is a standard definition picture, and the picture shot by the ultra-high definition capture device in the normal mode is an ultra-high definition picture;

[0035] Wherein, the on-site height value of the demonstration teaching board is converted according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value, when the representative depth of field value remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, and the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, including: using a numerical conversion formula to represent the numerical conversion relationship of converting the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value;

[0036] Wherein, the step-by-step mapping device is connected to the ultra-high definition capture device and is used to sequentially perform a gamma correction operation, a point image restoration operation, a Wiener filtering operation and an edge sharpening operation on the received live captured picture to obtain and output the corresponding step-by-step mapping picture, including: the step-by-step mapping mechanism includes a gamma correction component, an image restoration component, a filtering execution component and a sharpening execution component, which are used to respectively perform a gamma correction operation, a point image restoration operation, a Wiener filtering operation and an edge sharpening operation on the received picture signal;

[0037] Among them, the step-by-step mapping device is connected to the ultra-high-definition capture device, and is used to sequentially perform gamma correction operations, point image restoration operations, Wiener filtering operations, and edge sharpening operations on the received live captured images to obtain and output the corresponding step-by-step mapping images, and also includes: a gamma correction component, an image restoration component, a filtering execution component, and a sharpening execution component are sequentially connected.

[0038] Figure 2 It is a structural diagram of an online education demonstration teaching board intelligent detection system according to a secondary embodiment of the present invention.

[0039] and Figure 1 different, Figure 2 The online education demonstration board intelligent detection system can also include the following components:

[0040] A pressure detection mechanism, comprising a plurality of pressure detection units, for respectively detecting current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism, and the data conversion mechanism;

[0041] The pressure detection mechanism includes a plurality of pressure detection units for respectively detecting the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, including: the plurality of pressure detection units respectively used by the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism are a plurality of contact pressure sensors;

[0042] The pressure detection mechanism includes a plurality of pressure detection units for respectively detecting the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and further includes: the internal structures of the plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism are the same;

[0043] The pressure detection mechanism includes a plurality of pressure detection units for respectively detecting the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and further includes: a plurality of non-contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism have the same upper pressure measurement threshold and lower pressure measurement threshold;

[0044] Among them, the pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and also includes: multiple contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism all perform corresponding current surface pressure value detection based on the difference between the air pressure and the internal pressure of the detected device.

[0045] Figure 3 It is a structural diagram of an online education demonstration teaching board intelligent detection system according to another embodiment of the present invention.

[0046] and Figure 1 different, Figure 3 The online education demonstration board intelligent detection system can also include the following components:

[0047] a real-time warning mechanism, connected to the plurality of contact pressure sensors respectively used by the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, for performing corresponding pressure warning operations based on pressure measurement results of the plurality of contact pressure sensors respectively used by the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism;

[0048] Wherein, the real-time warning mechanism is respectively connected with a plurality of contact pressure sensors respectively used by the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively used by the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, including: the real-time warning mechanism includes a timing analysis unit and a warning operation unit;

[0049] And wherein, the real-time warning mechanism is respectively connected to multiple contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the multiple contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism. It also includes: within the real-time warning mechanism, the timing analysis unit is connected to the warning operation unit.

[0050] In addition, in the online education demonstration teaching board intelligent detection system, a numerical conversion formula is used to represent the numerical conversion relationship of the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the value representing the depth of field. The formula includes: in the numerical conversion formula, the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the value representing the depth of field are two input parameters, and the on-site height value of the demonstration teaching board is a single output parameter.

[0051] Although only exemplary embodiments of the present invention have been described in detail above, those skilled in the art will readily appreciate that many variations are possible in these exemplary embodiments without materially departing from the novel principles and advantages of the present invention. Accordingly, all such variations are intended to be included within the scope of the present invention as defined by the following claims. In the claims, means and function clauses are intended to include structures described herein as performing the recited functions, and include not only structural equivalents, but also equivalent structures.

Claims

1. An online education demonstration board intelligent detection system, characterized in that: The system comprises: A user operation device, used to switch the working mode of the ultra-high-definition capture device under user operation, wherein the working mode of the ultra-high-definition capture device includes a power saving mode and a normal mode, and the resolution of the picture shot by the ultra-high-definition capture device in the power saving mode is smaller than the resolution of the picture shot by the ultra-high-definition capture device in the normal mode; An ultra-high-definition capture device, which is arranged opposite to the teacher who performs online education and is connected to the user operation device, and is used to obtain the shooting picture in the normal mode under the drive of the user operation device and output it as a live capture picture; A step-by-step mapping device, connected to the ultra-high-definition capture device, for sequentially performing a gamma correction operation, a point image restoration operation, a Wiener filtering operation, and an edge sharpening operation on the received live captured images, so as to obtain and output a corresponding step-by-step mapping image; A block analysis mechanism, connected to the step-by-step mapping device, is used to detect the image block where the demonstration teaching board is located in the received step-by-step mapping picture based on the brightness value distribution interval of the demonstration teaching board, and the brightness value distribution interval of the demonstration teaching board is limited by the upper brightness value of the demonstration teaching board and the lower brightness value of the demonstration teaching board; A content recognition mechanism is connected to the block analysis mechanism, and is used to obtain the depth of field values ​​corresponding to the pixels in the image block where the demonstration teaching board is located, and output the depth of field value with the highest frequency among the depth of field values ​​as the representative depth of field value; A data conversion mechanism is connected to the content recognition mechanism, and is used to convert the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the representative depth of field value. When the representative depth of field value remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, and the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located; An error identification mechanism is connected to the data conversion mechanism, and is used to issue a demonstration teaching board replacement instruction when the on-site height value of the demonstration teaching board obtained by conversion is not within the height value range of the demonstration teaching board pre-set by the server executing online education management, otherwise, issue a demonstration teaching board valid instruction; Among them, the user operation device is used to switch the working mode of the ultra-high-definition capture device under user operation, the working modes of the ultra-high-definition capture device include power saving mode and normal mode, and the shooting picture resolution of the ultra-high-definition capture device in the power saving mode is smaller than the shooting picture resolution of the ultra-high-definition capture device in the normal mode, including: the shooting picture of the ultra-high-definition capture device in the power saving mode is a standard-definition picture, and the shooting picture of the ultra-high-definition capture device in the normal mode is an ultra-high-definition picture.

2. The online education demonstration teaching board intelligent detection system as claimed in claim 1, characterized in that: The on-site height value of the demonstration teaching board is converted according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the value representing the depth of field, when the value representing the depth of field remains unchanged, the on-site height value of the demonstration teaching board obtained by conversion is proportional to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, and the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located is the number of pixels occupied on the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located, including: using a numerical conversion formula to represent the numerical conversion relationship of converting the on-site height value of the demonstration teaching board according to the length of the curve in the height direction of the demonstration teaching board corresponding to the image block where the demonstration teaching board is located and the value representing the depth of field; Wherein, the step-by-step mapping device is connected to the ultra-high definition capture device and is used to sequentially perform a gamma correction operation, a point image restoration operation, a Wiener filtering operation and an edge sharpening operation on the received live captured picture to obtain and output the corresponding step-by-step mapping picture, including: the step-by-step mapping mechanism includes a gamma correction component, an image restoration component, a filtering execution component and a sharpening execution component, which are used to respectively perform a gamma correction operation, a point image restoration operation, a Wiener filtering operation and an edge sharpening operation on the received picture signal; Among them, the step-by-step mapping device is connected to the ultra-high-definition capture device, and is used to sequentially perform gamma correction operations, point image restoration operations, Wiener filtering operations, and edge sharpening operations on the received live captured images to obtain and output the corresponding step-by-step mapping images, and also includes: a gamma correction component, an image restoration component, a filtering execution component, and a sharpening execution component are sequentially connected.

3. The online education demonstration teaching board intelligent detection system as claimed in claim 2, characterized in that: The system further comprises: A pressure detection mechanism, comprising a plurality of pressure detection units, for respectively detecting current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism, and the data conversion mechanism; Among them, the pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, including: the multiple pressure detection units respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism are multiple contact pressure sensors.

4. The online education demonstration teaching board intelligent detection system as claimed in claim 3, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism. It also includes: the internal structures of multiple contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism are the same.

5. The online education demonstration teaching board intelligent detection system as claimed in claim 3, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism. It also includes: multiple non-contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism have the same pressure measurement upper limit threshold and pressure measurement lower limit threshold.

6. The online education demonstration teaching board intelligent detection system as claimed in claim 5, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism. It also includes: multiple contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism all perform corresponding current surface pressure value detection based on the difference between the air pressure and the internal pressure of the detected device.

7. The online education demonstration board intelligent detection system as described in any one of claims 3 to 6, characterized in that: The system further comprises: The real-time warning mechanism is respectively connected to a plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism.

8. The online education demonstration teaching board intelligent detection system as claimed in claim 7, characterized in that: The real-time warning mechanism is respectively connected to a plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, including: the real-time warning mechanism includes a timing analysis unit and a warning operation unit.

9. The online education demonstration teaching board intelligent detection system as claimed in claim 8, characterized in that: The real-time warning mechanism is respectively connected to a plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively used for the step-by-step mapping device, the block parsing mechanism, the content identification mechanism and the data conversion mechanism. The mechanism also includes: within the real-time warning mechanism, the timing analysis unit is connected to the warning operation unit.

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