Intelligent teaching evaluation system and method applied to electronic practice course

Abstract

The invention discloses an intelligent teaching evaluation system and method applied to an electronic practice course, and relates to the technical field of electronic practice course teaching guidance, and the system comprises a control module, and a visual module and a display unit which are electrically connected with the control module. The visual module at least comprises a camera I used for collecting pictures of an electronic training workbench of a target user, the display unit is arranged on the electronic training workbench, and the control module is configured to obtain identification information of target equipment selected / input by the user, and search a database to call corresponding data as current task basic data; task step information selected / input by a user is acquired, and corresponding teaching task logic is executed based on task steps; at least outputting the practice process record as evaluation data; and if a certain teaching task is entered currently, the display unit is divided into at least two display areas. The application has the effect of improving the teaching effect and the teaching experience of the electronic related professions.

Description

Technical Field

[0001] This application relates to the field of teaching guidance technology for electronic practical courses, and in particular to an intelligent teaching evaluation system and method for electronic practical courses. Background Technology

[0002] In addition to learning theoretical knowledge in professional courses such as digital electronics, analog electronics, circuits, and communications, students in electronics-related majors often cultivate practical skills during their school years. Common practical courses include metalworking internships and course design. The content of these practical courses includes things like: making a running light circuit, a radio, and a small television set by hand.

[0003] When conducting the aforementioned practical lessons, students' knowledge of electronic components and circuits is not only assessed, but their hands-on skills are also tested. However, given the current learning context, many students are encountering content outside the textbook for the first time or with limited exposure. During their manual work, they inevitably make obvious mistakes, or even mistakes they are unaware of, resulting in radios, televisions, and other products that cannot be turned on or used, thus affecting their learning experience. Moreover, due to factors such as the complexity of the equipment structure, students often do not disassemble the equipment to check the circuits one by one, so they do not even know where or what the mistakes are, leading to relatively poor learning outcomes. Therefore, this application proposes a new technical solution. Summary of the Invention

[0004] To improve the teaching effectiveness and learning experience of electronics-related majors, this application provides an intelligent teaching evaluation system and method for electronic practice courses.

[0005] Firstly, this application provides an intelligent teaching evaluation system for electronic practical courses, employing the following technical solution:

[0006] An intelligent teaching evaluation system for electronic practical courses includes a control module, a vision module, and a display unit electrically connected to the control module. The vision module includes at least one camera for capturing images of the electronic training workbench of a target user. The display unit is placed on the electronic training workbench. The control module is configured as follows:

[0007] Obtain the identification information of the target device selected / input by the user, and retrieve the corresponding data from the database as the basic data for the current task; the identification information includes the name;

[0008] Obtain the task step information selected / input by the user, and execute the corresponding teaching task logic based on the task steps; the teaching task logic includes preparation and electronic component classification logic, plug-in logic, soldering logic, and assembly logic executed based on the video data of camera one, and implement teaching, error correction, and practice process recording;

[0009] At least output the practical process record as evaluation data; and,

[0010] If a teaching task is currently being performed, the display unit should be divided into at least two display areas. One display area should display the system's function options or the circuit diagram / instruction manual for the current task, while the other display area should display the video data from the vision module.

[0011] Optionally, the preparation and electronic component classification logic includes:

[0012] Based on the preset interface initialization instructions and the user-input interface division instructions, the shooting area of ​​camera one is divided into at least one electronic component placement area, and the electronic component placement area is further divided into multiple sub-areas.

[0013] Each sub-region is labeled separately; the label information includes the names of the electronic components.

[0014] During the stage where the display unit shows the area where electronic components are placed, behavior recognition is performed based on the video data from camera one.

[0015] If electronic components are placed in a classified manner, the newly placed electronic components are identified, and the electronic components are compared and analyzed with the corresponding electronic component data in the database and the circuit diagram data of the current task to determine whether the electronic components are classified and placed correctly. If there is an error, it is recorded and the first intelligent reminder logic is executed.

[0016] Optionally, the intelligent reminder logic one includes:

[0017] After an electronic component is misclassified and placed, a timer is run. If the timer reaches a preset prompt time T1, a corresponding error message is output and recorded; and / or,

[0018] If a user's soldering behavior is detected and the recorded incorrect placement of electronic components is not corrected, a corresponding error message for the incorrect placement of electronic components will be output and recorded.

[0019] Optionally, it also includes an elevated workbench, which includes multiple legs and a transparent platform fixed to the upper end of the legs. The vision module also includes a second camera installed below the transparent platform, with the lens of the second camera facing upward.

[0020] The intelligent reminder logic one includes: if the user's soldering behavior is detected, the image data from camera two is called to determine whether the incorrect placement of electronic components has been corrected.

[0021] Optionally, the plug-in logic includes:

[0022] The image data from camera 2 is compared with the standard plug-in diagrams pre-stored in the database, and a plug-in error is recorded when one occurs. Based on the intelligent reminder logic 2, a plug-in error message is output.

[0023] The second intelligent reminder logic includes:

[0024] The corresponding historical practice records are obtained by searching the database based on user information;

[0025] Based on historical practice records, the system analyzes whether the user has completed circuit board repair skills training. If yes, a plug-in error message is output; otherwise, it is recorded and the next step is executed.

[0026] If the faulty plug-in completes the soldering process, an error message will be displayed.

[0027] The system counts the number of soldering errors m1 and marks the current user as having completed circuit board repair skill learning once the number of soldering errors m1 reaches a preset error threshold.

[0028] Optionally, a sloping plate is provided below the transparent platform for placing the base of the soldering iron, with the knob of the soldering iron base facing upwards. The transparent platform has a through hole for the soldering iron to pass through. The soldering logic includes:

[0029] User electronic practice task behavior recognition is performed based on image data from camera one; wherein, user electronic practice task behavior recognition includes:

[0030] If improper placement of the soldering iron is detected, the error will be recorded and a prompt message will be output.

[0031] If any improper temperature control operation of the soldering iron is detected, the error will be recorded and a prompt message will be output.

[0032] If any non-standard welding operation is detected, record it and output a prompt message;

[0033] The prompts include instructional videos and images / texts related to the corresponding behaviors.

[0034] Optionally, the transparent platform has multiple threaded holes, and the threaded holes are threadedly connected to vertical support rods. The upper diameter of the support rods is smaller than that of other positions, forming a stepped structure. The edge of the circuit board to be welded rests on the stepped structure of the multiple support rods.

[0035] The edge of the transparent platform is rotatably connected to a reflector one that is angled outwards, and a reflector two is installed on the side of the transparent platform facing the reflector one; the transparent platform is divided into at least two areas, one of which has a threaded hole, and the other serves as an assembly work area.

[0036] The assembly logic includes:

[0037] The image data from camera one is compared with the standard assembly diagram pre-stored in the database, and an assembly error is recorded and output as an assembly error message when an assembly error occurs.

[0038] The transparent platform also has through holes two and three for the multimeter's testing end to pass through. The preparation and electronic component classification logic includes:

[0039] If a specified electronic component to be measured is placed, then identify whether there is a behavior to detect newly placed electronic components. If not, record it and execute the first intelligent reminder logic.

[0040] The intelligent reminder logic one includes:

[0041] After the electronic components are sorted and placed, a timer is set. If the timer reaches the preset prompt time T2, a prompt indicating that the corresponding electronic component has not been detected is output and recorded; and / or,

[0042] If a user's soldering behavior is detected and the recorded electronic component is not detected, a corresponding electronic component not detected prompt will be output and recorded.

[0043] Optionally, the control module includes a field control unit integrated into the display unit and a remote backend wirelessly connected to the field control unit. The remote backend is wirelessly connected to a camera installed in the classroom and also wirelessly connected to multiple field control units in the corresponding classroom. The remote backend is configured as follows:

[0044] Statistical analysis of the practical process records of the field control unit;

[0045] Based on the statistical data of each field control unit, the error count and records of each user are obtained, and sorted according to the preset sorting rules to obtain the electronic training results sorting table.

[0046] The electronic training results ranking list is sent to the target teachers based on the preset contact information or mobile APP, or the electronic training results ranking list is filtered based on the preset screening rules to obtain the screening results, and then sent to the target teachers based on the preset contact information or mobile APP.

[0047] Face recognition is performed based on image data from camera three to obtain the identity information of user groups and instructors corresponding to each training course;

[0048] The overall training results of each user group are statistically analyzed based on the electronic training results ranking table.

[0049] Compare the overall training results of each user group and output the overall comparison data.

[0050] Optionally, the remote backend is configured as follows:

[0051] Based on the overall comparison data, multiple user groups were selected using a preset filtering rule and marked as groups to be verified.

[0052] Acquire video data from camera 3 during the training of each group to be verified, and analyze the interactive behavior and audio of the instructors.

[0053] Compare the interactive behaviors and audio recordings of instructors from previous training sessions, and output teaching comparison data.

[0054] Secondly, this application provides an intelligent teaching evaluation method for electronic practice courses, employing the following technical solution:

[0055] The teaching and guidance can be carried out using any of the intelligent teaching evaluation systems described above for electronic practice courses, and the teaching process can be evaluated.

[0056] In summary, this application includes the following beneficial technical effects: During the process of users soldering circuit boards to make electronic devices, a vision module synchronously captures the entire manufacturing process and transmits it to the control module for intelligent recognition and analysis (i.e., executing teaching task logic). Thus, the system can record information such as errors that occur during the user's manufacturing process, providing relevant personnel with teaching references; on the other hand, it can also be used to remind users to correct errors, reducing the probability of failure in electronic device manufacturing; thereby, this system can improve the teaching effectiveness and learning experience of electronics-related majors. Attached Figure Description

[0057] Figure 1 This is a connection diagram of the control module in this application;

[0058] Figure 2 This is a schematic diagram of the overall structure of this application.

[0059] Explanation of reference numerals in the attached diagram: 1. Control module; 2. Display unit; 3. Vision module; 31. Camera 1; 32. Camera 2; 4. Elevated workbench; 41. Leg; 42. Transparent platform; 421. Through hole 1; 422. Through hole 2; 423. Through hole 3; 424. Threaded hole; 425. Support rod; 5. Circuit board; 6. Reflector 1; 7. Reflector 2; 8. Angled plate; 9. Electronic training workbench. Detailed Implementation

[0060] The following is in conjunction with the appendix Figures 1-2 This application will be described in further detail.

[0061] This application discloses an intelligent teaching evaluation system for electronic practice courses.

[0062] Reference Figure 1 and Figure 2 The intelligent teaching evaluation system applied to electronic practice courses includes a control module 1 and a vision module 3 and a display unit 2 electrically connected to the control module 1. The display unit 2 can be a tablet computer, so the control module 1 can be the control board of the tablet computer. That is, in this embodiment, the control module 1 and the display unit 2 are integrated.

[0063] It is understandable that when students are making electronic devices such as radios, they need a table as an electronic training workbench 9. A bracket for fixing the display unit 2 is installed on the top of the electronic training workbench 9, such as a vertical bracket with a frame hinged at the top for placing the flat plate.

[0064] The visual module 3 includes at least a camera 31 for capturing the image of the electronic training workstation 9 of the target user (i.e., the aforementioned practical student). Considering that multiple students are often in the same classroom during each training session, there are multiple display units 2, each placed on a different electronic training workstation 9. The display units 2 can be paired and bound to the electronic training workstation 9 on which they are placed. For example, each electronic training workstation 9 can be assigned a number. When a display unit 2 is placed on a particular electronic training workstation 9, the corresponding number of the electronic training workstation 9 is entered. The data for the same classroom is then collected and sent to the teacher, making it easier for the teacher to find the corresponding workstation.

[0065] The aforementioned camera 31 can be installed above the corresponding electronic training workbench 9. For example, the edge of the electronic training workbench 9 is fixed with a mounting bracket for installing the camera 31 by bolts and nuts, and one end of the mounting bracket extends into the operating area of ​​the electronic training workbench 9. The camera 31 is installed in the upper rear position of the operating area and is fixed to the end of the bracket by bolts and nuts.

[0066] Control module 1 is configured as follows:

[0067] S11. Obtain the identification information of the target device selected / input by the user (i.e., the device name corresponding to the circuit board 5 to be soldered), and search the database to retrieve the corresponding data as the basic data for the current task.

[0068] The identification information includes at least the name of the device to be manufactured or the code pre-bound to the device. The basic data of the current task includes at least the circuit diagram data, the electronic component data required for the circuit diagram, the standard operation video or text data of soldering circuit board 5, and electronic theory knowledge. The above data can be entered by the user into a pre-established database.

[0069] S12. Obtain the task step information selected / input by the user, and execute the corresponding teaching task logic based on the task steps.

[0070] The teaching task logic includes preparation and electronic component classification logic, plug-in logic, soldering logic, and assembly logic based on video data from camera 31, and records of teaching, error correction, and practice processes.

[0071] In use, the user pre-selects the course or equipment to be practiced in this class. The names of the task steps are then displayed on the screen by display unit 2, and the tablet computer selects the corresponding teaching task logic based on the user's choice. An example of making a radio by hand is shown below:

[0072] 1) Prepare relevant electronic components, classify them, and check whether the electronic components are functioning properly;

[0073] 2) Insert multiple electronic components into the correct positions on circuit board 5;

[0074] 3) Solder the leads of multiple electronic components and cut off any excess leads;

[0075] 4) Assemble the basic components of the radio, such as the antenna, speaker, and detector, to complete the radio production.

[0076] S13. At least output the practice process record as evaluation data. The practice process record should include at least the full record of the training operation video of the target user (e.g., student), video clips of the target user's incorrect operation, and a written summary of the incorrect operation.

[0077] The following are the functions that the tablet computer performs simultaneously during specific applications:

[0078] S14. If a teaching task is currently being entered, i.e., the user selects the task steps and confirms completion, then the display unit 2 shall be divided into at least two display areas, and one display area shall be used to display the system's function options or the circuit diagram / instruction manual of the current task. Function options include, for example, the return button, the homepage button, the database list button, etc. The other display area shall display the video data of the vision module 3.

[0079] The above settings allow users to easily view circuit diagrams during the electronic device manufacturing process to confirm the correctness of the soldered circuit board 5. Simultaneously, at least the image captured by camera 31 is displayed on display unit 2. This, in addition to the aforementioned teaching task logic execution, can also be used to display the specific location and time of errors such as component errors and soldering mistakes. Based on the above settings, this system has at least the following effects:

[0080] During the process of users soldering circuit boards 5 to make electronic devices, vision module 3 synchronously captures the entire process and transmits it to control module 1 for intelligent recognition and analysis (i.e., executing teaching task logic). Thus, the system can record information such as errors that occur during the user's production process and provide it to relevant staff as a teaching reference. On the other hand, it can also remind users to correct errors and reduce the probability of failure in making electronic devices. Therefore, this system can improve the teaching effect and teaching experience of electronic-related majors.

[0081] An example of improving teaching effectiveness: addressing the issue that when one teacher is responsible for multiple students in a classroom, it may be impossible to promptly identify and guide students in correcting their mistakes.

[0082] Reference Figure 1 and Figure 2 In another embodiment of this application, the reason for setting up the electronic component classification logic is that the target group is basically students who are learning electronic practice. Considering that the target group has not yet fully learned, there may be cases of incorrect use of electronic components. Therefore, it is necessary to monitor the process of students preparing electronic components.

[0083] The above-mentioned logic for classifying electronic components includes:

[0084] S21. Based on the preset interface initialization command and the user-input interface division command, the shooting area of ​​the camera 31 is divided into at least one electronic component placement area, and the electronic component placement area is further divided into multiple sub-areas.

[0085] That is, the area for placing electronic components can be set to automatically initialize to a preset specification and form when the system enters the current logic; or, permissions can be granted to students so that they can manually adjust it themselves.

[0086] Example of partition labeling:

[0087] Display unit 2 displays the image from camera 31 as the operable area. Students touch the display screen of this part and drag to draw lines to enclose sub-areas. After completing the division of all sub-areas, they label each sub-area with the corresponding electronic components to be placed. Finally, they click a preset confirmation button to generate the electronic component placement area.

[0088] S22. Label each sub-area separately; the label information includes the name of the electronic component, and may also include the model number of the electronic component with that name; for example, if the first sub-area in the first row is used to place resistors, then label the resistor in the lower right corner of the first sub-area in the first row.

[0089] S23. During the stage of displaying the electronic component placement area in display unit 2, behavior recognition is performed based on the video data of camera 31.

[0090] S24. If electronic component classification and placement occurs, such as when a hand moves to the electronic component placement area, the newly placed electronic component is identified. Based on the corresponding electronic component data in the database and the circuit diagram data of the current task, the system compares and analyzes the data to determine whether the electronic component classification and placement is correct. If there is an error, it is recorded, and the intelligent reminder logic one is executed.

[0091] Example: If a capacitor is detected within a sub-region labeled as a resistor, it is determined that an electronic component is misplaced and recorded. The behavior recognition and image recognition technologies involved in the above process are existing technologies and will not be elaborated upon here.

[0092] With the above settings, this system can guide students to prepare and classify electronic components in a standardized manner before soldering circuit board 5. It can also use machine vision to identify and determine whether students have made mistakes in classification or placement. If there are errors, they are recorded. On the one hand, this can be used as a support for teaching evaluation, and on the other hand, it can also facilitate students to trace back and check for errors when they find abnormalities in circuit board 5 later.

[0093] It is important to note that when this system detects a student making a mistake in classifying electronic components at this stage, it does not necessarily issue a direct warning. Instead, it executes the first intelligent warning logic. This is because:

[0094] Some students may use the wrong electronic components at the beginning of their learning process due to negligence or other reasons, but they will correct the mistakes themselves after a period of time. It would be inappropriate to directly record this as an error.

[0095] The first intelligent reminder logic includes:

[0096] The first method: After the electronic components are misclassified and placed, a timer is set. If the timer reaches the preset prompt time T1, the corresponding electronic component misclassification prompt is output and recorded.

[0097] Example: After detecting that a student has placed electronic components in the wrong area, a timer is started. After 5 minutes, an error message is displayed in the area where the circuit diagram is placed on display unit 2. The message displays the name of the incorrectly placed electronic component in a graphic and textual format. The student's error is recorded. The record includes at least the student's name or the serial number of the electronic training workbench 9 bound / paired to display unit 2, the name of the incorrectly placed electronic component, and the name of the confused electronic component.

[0098] The second method: If the user's soldering behavior is detected and the recorded incorrect placement of electronic components is not corrected, then the corresponding incorrect placement prompt for electronic components will be output and recorded.

[0099] Example: If the system detects that the user has picked up a soldering iron to prepare for soldering, but the video recording shows that the incorrectly placed electronic component has not been corrected, then the display unit 2 will pop up the corresponding electronic component placement error prompt in the area where the circuit diagram is placed, and inform the user of the name of the incorrectly placed electronic component and other information in the form of pictures and text, and record the student's error, with the recorded content as described above.

[0100] Either of the two methods mentioned above can be chosen or used simultaneously.

[0101] By setting up the above system, errors are prompted after a certain number of minutes or when students are preparing to weld, giving students time to correct their mistakes. This helps prevent students from making mistakes simply due to carelessness even if they have mastered the knowledge. It maintains the assessment of students' knowledge while giving them the opportunity to correct themselves, thus aligning with the original purpose of teaching. It also reduces students' dependence on teachers or the system to correct errors and guide teaching, thereby improving teaching effectiveness and experience to some extent.

[0102] In another embodiment of this application, the application also includes an overhead workbench 4, which includes a plurality of legs 41 and a transparent platform 42 fixed to the upper end of the legs 41. The transparent platform 42 may be a transparent acrylic sheet, and the legs 41 may be four and evenly distributed on the lower part of the acrylic sheet.

[0103] The vision module 3 also includes a second camera 32 installed below the transparent platform 42, such as when placed on the electronic training workbench 9 with the lens of the second camera 32 facing upwards. Through the transparent platform 42, the second camera 32 can film the students' training operations from below without being obstructed by the students, thus allowing for a more complete and accurate filming of the circuit board 5 manufacturing process.

[0104] Based on the above, the intelligent reminder logic one also includes: if the user's welding behavior is detected, the image data of camera two 32 is called to determine whether the incorrect classification and placement of electronic components has been corrected.

[0105] Example: If a 10-ohm resistor is used at position A of circuit board 5, but a 20-ohm resistor is used, and circuit board 5 only has a 10-ohm resistor, then the classification and placement of 5 is incorrect.

[0106] With the above setup, using camera 32 placed under the transparent platform 42 in conjunction with camera 31, a more complete video of the circuit board 5 manufacturing process can be obtained, enabling more comprehensive classification and placement error analysis, and improving the accuracy of judgment on students' practical training operations.

[0107] The reason for setting up plug-in logic in this application is that after selecting electronic components, the electronic components need to be inserted into the preset plug-in holes of circuit board 5. During this process, students may insert the electronic components into the wrong plug-in holes, which may lead to problems such as the device being unusable in the end.

[0108] In another embodiment of this application, the plug-in logic includes: comparing the image data of camera 2 32 with the standard plug-in diagrams pre-stored in the database, recording the plug-in error when it occurs, and outputting a plug-in error prompt based on the intelligent reminder logic 2.

[0109] The reason for not immediately alerting students after a plug-in error is that circuit board 5 repair is also a skill that needs to be learned and mastered in the practical training course. If an immediate alert were issued after a student's plug-in error was discovered, it would be impossible to train the student's circuit board 5 repair skills. Therefore, intelligent prompting logic two was implemented, which includes:

[0110] S31. Based on user information, search the database to obtain the corresponding historical practice records;

[0111] Example: When a user uses display unit 2, they are required to log in to the account corresponding to this system. The account login method can be automatic login by facial recognition. Therefore, the current user information can be obtained through the facial recognition result. Based on the user information, the database can be searched to obtain the historical practice records bound to the current user.

[0112] S32. Based on historical practice records, analyze whether the user has completed the circuit board 5 repair skill learning. If yes, output a plug-in error message; if no, record it and proceed to the next step.

[0113] The next step is: if the faulty plug-in completes the soldering, output a plug-in error message.

[0114] It should be noted that during the above process, this system also counts the number of component soldering errors, m1, and marks the current user as having completed the circuit board repair skill learning after m1 reaches a preset error threshold; taking m1=3 as an example:

[0115] If a user's history shows that they have encountered 5 errors, all of which have been repaired, then they are considered to have completed the Circuit Board 5 repair skill learning and are marked as such.

[0116] Based on the above settings, teaching can be tailored to the current learning situation of different students. By analyzing historical practice records, repeated teaching can be effectively avoided, while ensuring that students who have not yet learned the material can learn the relevant knowledge, thus improving the teaching effect to a certain extent.

[0117] In another embodiment of this application: a sloping plate 8 for placing a soldering iron base is provided below the transparent plate 42. The sloping plate 8 can be placed on the electronic training workbench 9. When the soldering iron is placed on the sloping plate 8, the knob of the soldering iron base faces upward, so that the camera 31 can capture the knob.

[0118] To facilitate the user's access to the soldering iron, the transparent plate 42 has a through hole 421 through which the soldering iron passes. When soldering is not required, the soldering iron can be passed through the through hole 421 and inserted into the base under the transparent plate 42.

[0119] The aforementioned welding logic includes: recognizing user electronic practice operation behavior based on image data from camera 31; specifically:

[0120] The first method involves recording and outputting a prompt message if improper placement of the soldering iron is detected. In this embodiment, proper placement of the soldering iron requires it to pass through the through hole 421. If it is detected that the soldering iron is not inserted into the through hole 421, such as being carelessly placed on the electronic training workbench 9 after use, the action is recorded and a prompt message is output to remind the student to place the soldering iron properly. The prompt message includes at least a graphic demonstration of proper soldering iron placement.

[0121] The second method involves recording and outputting a prompt message if improper temperature control of the soldering iron is detected.

[0122] Example: Based on the pre-stored task data of the equipment used in this production, the soldering iron should be adjusted to 320°C to 370°C during soldering. If the image data shows that the soldering iron knob has been adjusted to 380°C, it is determined that the student's operation is not in accordance with regulations. The information is recorded and a prompt message pops up on display unit 2. The prompt message should include at least a graphic demonstration of the soldering iron temperature adjustment.

[0123] The third method involves recording and outputting prompts if non-standard welding operations are identified. Non-standard welding operations include at least prolonged welding time at a single point or incorrect welding techniques. The prompts include at least a graphic or video demonstration of the specific error and corrective instructions.

[0124] The prompts include instructional videos and images pre-stored in the database for the corresponding behaviors.

[0125] Based on the above setup, camera 31 can be used to monitor and teach students whether they are welding in accordance with regulations. This effectively prevents safety accidents caused by improper welding operations, while also serving as an educational tool for students and improving teaching effectiveness.

[0126] Because the solder wire and soldering iron contacting circuit board 5 during soldering can cause the circuit board 5 to vibrate and move, affecting the soldering process and quality, the following settings are implemented:

[0127] In another embodiment of this application:

[0128] The transparent platform 42 has multiple threaded holes 424, which are arranged in an array. Each threaded hole 424 is threaded to a vertical support rod 425. The lower half of the support rod 425 may be threaded to adjust the height of the support rod 425. The upper diameter of the support rod 425 is smaller than that of other parts, forming a stepped structure.

[0129] In use, the circuit board 5 to be soldered is located in the frame enclosed by multiple support rods 425, and its edge rests on the stepped structure. Understandably, the user can freely choose which threaded holes 424 to screw the support rods 425 into according to the size of the circuit board 5, and can freely adjust the lifting height of the circuit board 5 by turning the support rods 425.

[0130] In another embodiment of this system, since students tilt their heads forward during welding operations, they may obstruct the shooting direction of camera 31 located above the electronic training workbench 9, causing camera 31 to be unable to capture a complete image. Therefore, the following settings are made:

[0131] The transparent platform 42 has a reflector 6 hinged to its edge, angled outwards, allowing students to adjust the height or angle according to their operating habits. After the reflector 6 is adjusted to the desired angle, a stop block can be placed behind the reflector 6 for limiting its position.

[0132] A second reflector 7 is hinged to the side of the transparent platform 42 opposite to reflector 6 (example: mounted on the bracket for camera 31). A ring is provided on the back of reflector 7. After the angle of reflector 7 is adjusted, a thin rope is passed through the ring and then tied to the bracket to restrict its rotation. Reflector 7 reflects the image from reflector 6 to camera 31. Thus, when there is a risk of the user's head being obstructed and directly photographing the circuit board 5, camera 31 can capture a relatively complete image with the help of the two reflectors. When the image data of camera 31 detects obstruction, the student's operation can be analyzed through the image in reflector 7.

[0133] In another embodiment of this application, considering that manufacturing electronic devices requires not only soldering the circuit board 5, but also assembling the circuit board 5 and its components, the transparent platform 42 is divided into at least two areas, one for opening threaded holes 424 and the other as an assembly work area.

[0134] Based on this, it can be ensured that camera 31 can capture the assembly process, and the assembly logic includes:

[0135] The image data from camera 31 is compared with the standard assembly diagrams pre-stored in the database, and an assembly error is recorded and output as an assembly error message when an assembly error occurs.

[0136] Assembly errors include, but are not limited to, omitting components that need to be assembled, incorrect component placement, and installing extra components. For example, in the case of a radio, an FM receiver module might be installed where a medium wave receiver module should be, or an extra filter capacitor might be soldered on, causing the radio to malfunction.

[0137] In another embodiment of this application, the preparation and electronic component classification logic is not limited to classifying electronic components, but also includes determining whether electronic components are damaged. Damage to electronic components cannot be detected by the naked eye, so it needs to be checked with a multimeter. Therefore, the following settings are made:

[0138] The transparent platform 42 is also provided with through holes 422 and 423 for the multimeter's test end (i.e., test probe) to pass through. When in use, the multimeter is placed under the transparent platform 42. When the multimeter is not in use, the multimeter's test probe can be passed through through holes 422 and 423.

[0139] Based on this, the logic for preparing and classifying electronic components is as follows:

[0140] If a specified electronic component to be measured (e.g., resistor) is placed in a specific category, then identify whether there is a behavior to detect newly placed electronic components. If not, record it and execute the first intelligent reminder logic.

[0141] The aforementioned intelligent reminder logic one includes:

[0142] After the electronic components are sorted and placed, a timer is set. If the timer reaches the preset prompt time T2, a prompt indicating that the corresponding electronic component has not been detected is output and recorded. Here, T2 can be 3 minutes, and the prompt information can include the detection method of the corresponding electronic component.

[0143] And / or, if user soldering behavior is detected and the recorded electronic components are not detected, a corresponding electronic component not detected prompt will be output and recorded, with the prompt information being the same as above.

[0144] With the above settings, even if students miss a test or do not know how to test electronic components, they can be prompted or taught, which reduces the chance that the equipment will not work after assembly and the cause will be difficult to find, thus improving the teaching effect.

[0145] Since it is necessary to evaluate teachers' teaching, but simply setting up display unit 2 on the electronic training workbench 9 is insufficient to ascertain the teachers' teaching performance, the following settings were implemented:

[0146] In another embodiment of this application:

[0147] The control module 1 includes a field control unit integrated into the display unit 2 and a remote backend wirelessly connected to the field control unit. The remote backend can be built on a cloud server or can be a computer used by the teacher in the classroom.

[0148] The remote backend wirelessly connects to the data backend of camera three installed in the classroom, thereby enabling access to the classroom's surveillance footage. The remote backend also wirelessly connects to multiple field control units in the corresponding classroom; the wireless connection in this application can be via WiFi.

[0149] The remote backend configuration is as follows:

[0150] S41. Statistically record the practice process of the field control unit, such as: count the number of errors of each student in each practice process record and pair or bind the corresponding display unit 2 and electronic training workbench 9, or bind the corresponding student based on face recognition.

[0151] S42. Based on the statistical data of each field control unit, obtain the number of errors and records of each user, and sort them according to the preset sorting rules to obtain the electronic training results sorting table; wherein, the preset sorting rules can be sorting in order of the number of errors from most to least.

[0152] S43. Send an electronic training results ranking table to the target teacher based on the preset contact method or mobile APP, or filter the electronic training results ranking table based on the preset screening rules, obtain the screening results, and send them to the target teacher based on the preset contact method or mobile APP.

[0153] Among them, the first screening rule is that if the number of errors is greater than or equal to five, the error will be screened out and sent to the target teacher. The content sent must include at least the error content and the corresponding display unit 2 and electronic training workbench 9 or the corresponding student.

[0154] S44. Perform facial recognition based on the image data from camera three to obtain the identity information of the user groups and teaching staff corresponding to each training course. This step can match and bind teachers with their corresponding classes and student groups, making it easier to statistically analyze teachers' teaching results based on the learning outcomes of student groups. Facial recognition is an existing technology and will not be elaborated on here.

[0155] S45. Based on the electronic training results ranking table, statistically analyze the overall training results of each user group; this can be done by first compiling the electronic training results ranking table and then filtering and analyzing based on preset filtering rules to facilitate subsequent comparison. The filtering rules can be error count statistics, specific error step statistics, etc. For example: after filtering, in class A or student group, there are 10 people with more than or equal to five errors, and in class B or student group, there are 15 people; or, in class A or student group, there are 20 people who made mistakes in the welding step, and in class A or student group, there are 18 people who made mistakes in the welding step.

[0156] S46. Compare the overall training results of each user group and output the overall comparison data. Example: As mentioned above, the filtered records can be output and listed in a table for comparison. The table content should at least include the corresponding teacher's name.

[0157] By setting up the above system, teachers are linked to the corresponding classes or student groups they teach. By statistically analyzing the learning progress of the corresponding student groups and comparing the data in a list, the system can assist in teaching evaluation. It allows for a more intuitive comparison of teachers' teaching results, making the process more convenient and efficient.

[0158] Considering that student learning outcomes are only one part of teacher evaluation, it is also necessary to examine the teacher's active participation in the classroom and the specific details of their teaching. Therefore, the remote backend is also configured as follows:

[0159] S51. Based on the overall comparison data, select multiple user groups according to the preset filtering rule 2, and mark them as groups to be verified.

[0160] Assume the overall comparison data is: a ranking table of error counts;

[0161] At this point, the second screening rule refers to selecting a user group with the fewest errors in the table (such as a class) as the standard sample, and other user groups as the group to be checked.

[0162] S52. Obtain video data from camera 3 during the training of each group to be verified, and analyze the interactive behavior and audio of the instructors.

[0163] Among them, camera three needs to be a camera with recording function;

[0164] The analysis of teaching staff interaction behavior includes at least: identifying whether teaching staff walk around the classroom and the number of times they guide students to operate. Interactive audio can be the recording of the corresponding classroom teaching content and converted into text, followed by a fuzzy search based on preset keywords or information to capture whether the corresponding knowledge points exist.

[0165] S53. Compare the interactive behaviors and audio recordings of instructors from previous training sessions, that is, compare the instructors' performance with the standard sample, and output the teaching comparison data.

[0166] At least one of the above comparison results can be used to establish scoring rules (e.g., if a corresponding behavior or knowledge point exists, it is scored out of 10 points) for scoring. Finally, the scoring list is compared to use the table content to assist in the evaluation of teachers' teaching.

[0167] This application also discloses an intelligent teaching evaluation method for electronic practice courses.

[0168] The intelligent teaching evaluation method applied to electronic practice courses uses any of the above-mentioned intelligent teaching evaluation systems for electronic practice courses to evaluate the teaching process and provide guidance.

[0169] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An intelligent teaching evaluation system applied to electronic practical courses, characterized in that: The system includes a control module (1), a vision module (3), and a display unit (2) electrically connected to the control module (1). The vision module (3) includes at least a camera (31) for capturing images of the electronic training workbench (9) of the target user. The display unit (2) is placed on the electronic training workbench (9). The control module (1) is configured as follows: Obtain the identification information of the target device selected / input by the user, and retrieve the corresponding data from the database as the basic data for the current task; the identification information includes the name; Obtain the task step information selected / input by the user, and execute the corresponding teaching task logic based on the task steps; wherein, the teaching task logic includes the preparation and electronic component classification logic, plug-in logic, soldering logic, and assembly logic executed based on the video data of camera one (31), and implement teaching, error correction, and practice process recording; At least output the practical process record as evaluation data; and, If a teaching task is currently being performed, the display unit (2) shall divide the display area into at least two display areas, and one display area shall display the system's function options or the circuit diagram / instruction manual of the current task, while the other display area shall display the video data of the vision module (3).

2. The intelligent teaching evaluation system for electronic practice courses according to claim 1, characterized in that, The preparation and electronic component classification logic includes: Based on the preset interface initialization instructions and the user-input interface division instructions, the shooting area of ​​camera 1 (31) is divided into at least one electronic component placement area, and the electronic component placement area is divided into multiple sub-areas. Each sub-region is labeled separately; the label information includes the names of the electronic components. During the display unit (2) displaying the area where electronic components are placed, behavior recognition is performed based on the video data from camera one (31); If electronic components are placed in a classified manner, the newly placed electronic components are identified, and the electronic components are compared and analyzed with the corresponding electronic component data in the database and the circuit diagram data of the current task to determine whether the electronic components are classified and placed correctly. If there is an error, it is recorded and the first intelligent reminder logic is executed.

3. The intelligent teaching evaluation system for electronic practice courses according to claim 2, characterized in that: The intelligent reminder logic one includes: After an electronic component is misclassified and placed, a timer is run. If the timer reaches a preset prompt time T1, a corresponding error message is output and recorded; and / or, If a user's soldering behavior is detected and the recorded incorrect placement of electronic components is not corrected, a corresponding error message for the incorrect placement of electronic components will be output and recorded.

4. The intelligent teaching evaluation system for electronic practice courses according to claim 3, characterized in that: It also includes an overhead workbench (4), which includes multiple legs (41) and a transparent platform (42) fixed to the upper end of the legs (41). The vision module (3) also includes a second camera (32) installed below the transparent platform (42), with the lens of the second camera (32) facing upward. The first intelligent reminder logic includes: if the user's welding behavior is detected, the image data of the second camera (32) is called to determine whether the incorrect placement of electronic components has been corrected.

5. The intelligent teaching evaluation system for electronic practice courses according to claim 1, characterized in that: The plug-in logic includes: The image data of camera 2 (32) is compared with the standard plug-in diagram stored in the database, and a plug-in error is recorded after a plug-in error occurs. The plug-in error prompt is output based on the intelligent reminder logic 2. The second intelligent reminder logic includes: The corresponding historical practice records are obtained by searching the database based on user information; Based on historical practice records, analyze whether the user has completed the circuit board (5) repair skills training. If yes, output a plug-in error message; if no, record it and proceed to the next step. If the faulty plug-in completes the soldering process, an error message will be displayed. The number of soldering errors m1 is counted, and after the number of soldering errors m1 reaches the preset error threshold, the current user is marked as having completed the circuit board (5) repair skill learning.

6. The intelligent teaching evaluation system for electronic practice courses according to claim 4, characterized in that: Below the transparent platform (42) is an inclined plate (8) for placing the base of a soldering iron. The knob of the soldering iron base faces upward. The transparent platform (42) has a through hole (421) through which the soldering iron passes. The soldering logic includes: User electronic practice behavior recognition is performed based on image data from camera 1 (31); wherein, user electronic practice behavior recognition includes: If improper placement of the soldering iron is detected, the error will be recorded and a prompt message will be output. If any improper temperature control operation of the soldering iron is detected, the error will be recorded and a prompt message will be output. If any non-standard welding operation is detected, record it and output a prompt message; The prompts include instructional videos and images / texts related to the corresponding behaviors.

7. The intelligent teaching evaluation system for electronic practice courses according to claim 4, characterized in that: The transparent platform (42) has multiple threaded holes (424), and the threaded holes (424) are threaded to vertical support rods (425). The upper diameter of the support rods (425) is smaller than that of other positions to form a stepped structure. The edge of the circuit board (5) to be welded falls on the stepped structure of the multiple support rods (425). The edge of the transparent platform (42) is rotatably connected to a reflector one (6) that is angled outwards. A reflector two (7) is installed on the side of the transparent platform (42) facing the reflector one (6). The transparent platform (42) is divided into at least two areas, one of which has a threaded hole (424), and the other serves as an assembly work area. The assembly logic includes: The image data from camera 1 (31) is compared with the standard assembly diagram stored in the database, and an assembly error is recorded and output as an assembly error message when an assembly error occurs. The transparent platform (42) is also provided with through holes two (422) and three (423) for the multimeter's test end to pass through. The preparation and electronic component classification logic includes: If a specified electronic component to be measured is placed, then identify whether there is a behavior to detect newly placed electronic components. If not, record it and execute the first intelligent reminder logic. The intelligent reminder logic one includes: After the electronic components are sorted and placed, a timer is set. If the timer reaches the preset prompt time T2, a prompt indicating that the corresponding electronic component has not been detected is output and recorded; and / or, If a user's soldering behavior is detected and the recorded electronic component is not detected, a corresponding electronic component not detected prompt will be output and recorded.

8. The intelligent teaching evaluation system for electronic practice courses according to claim 2, characterized in that: The control module (1) includes a field control unit integrated into the display unit (2) and a remote backend wirelessly connected to the field control unit. The remote backend is wirelessly connected to a camera installed in the classroom and to multiple field control units in the corresponding classroom. The remote backend is configured as follows: Statistical analysis of the practical process records of the field control unit; Based on the statistical data of each field control unit, the error count and records of each user are obtained, and sorted according to the preset sorting rules to obtain the electronic training results sorting table. The electronic training results ranking list is sent to the target teachers based on the preset contact information or mobile APP, or the electronic training results ranking list is filtered based on the preset screening rules to obtain the screening results, and then sent to the target teachers based on the preset contact information or mobile APP. Face recognition is performed based on image data from camera three to obtain the identity information of user groups and instructors corresponding to each training course; The overall training results of each user group are statistically analyzed based on the electronic training results ranking table. Compare the overall training results of each user group and output the overall comparison data.

9. The intelligent teaching evaluation system for electronic practice courses according to claim 8, characterized in that, The remote backend configuration is as follows: Based on the overall comparison data, multiple user groups were selected using a preset filtering rule and marked as groups to be verified. Acquire video data from camera 3 during the training of each group to be verified, and analyze the interactive behavior and audio of the instructors. Compare the interactive behaviors and audio recordings of instructors from previous training sessions, and output teaching comparison data.

10. An intelligent teaching evaluation method applied to electronic practice courses, characterized in that: The teaching and guidance are evaluated using the intelligent teaching evaluation system described in any one of claims 1-9 for electronic practice courses.

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