A multi-functional training system

Abstract

The application discloses a multifunctional training system, comprising a multifunctional training classroom control system, which is in communication connection with a movable multifunctional table and chair unit, a face recognition unit, an intelligent display unit, an AI monitoring unit and an intelligent lighting unit through a data transmission unit; the arrangement can be quickly adjusted according to different training requirements, facilitating easy switching between a training classroom, a computer room, an examination room and even a conference room; digital technology is integrated for use: through the reasonable setting and installation of intelligent projection, an electronic display screen, a monitoring camera, a face recognition system and other equipment, the intelligent management of classroom equipment is realized by using Internet of Things technology; interaction and communication are promoted: the movable multifunctional table and chair can enable different layouts in the classroom, promote face-to-face communication among students, and at the same time, discussion areas or cooperation areas are set, production practice equipment or instruments are provided, and group students can easily brainstorm and cooperate.

Description

Technical Field

[0001] The present invention relates to the technical field of multifunctional training, in particular to a multifunctional training system. Background Art

[0002] Training primarily involves both training and practice, enabling trainees to master specific skills through training, training, and observation. Training primarily focuses on skills and emphasizes practical application. To achieve unified scientific and technological standards and standardized operations, training involves setting goals, transferring knowledge and information, practicing skills, assessing performance, and communicating and announcing results through modern information-based processes. This allows trainees to achieve desired goals, improve combat effectiveness, and enhance their personal and work abilities through specific means.

[0003] Training is the process of imparting the necessary cognitive thinking, basic knowledge, and skills to experienced or inexperienced trainees to complete certain behaviors. Based on cognitive psychology theory, the effectiveness of training is determined by the transmission of correct workplace cognition (the output of internal psychological processes).

[0004] Simply put, training is roughly equivalent to teaching. It's the provision of instruction in a specific skill, such as in professional training courses. Training can also be understood as providing instruction.

[0005] Arranging a training classroom can provide students with a good learning environment and promote their learning effect and experience. At the same time, it can also enable students to better absorb knowledge and skills in a comfortable environment and achieve the expected results of training.

[0006] The Chinese invention patent application, CN104091475A, discloses a mobile multifunctional classroom, primarily addressing the problems of complex operation and low automation in the prior art. The present invention utilizes a mobile multifunctional classroom comprising a chassis, side-pullout cabins, an automatic control system, a power system, and a training assistance system. The chassis is either a Class II or Class III chassis; the side-pullout cabins comprise a left cabin, a middle cabin, and a right cabin. The middle cabin floor is fixed to the chassis; independent movable panels are provided on the left and right sides of the middle cabin, hingedly fixed to the middle cabin floor. When deployed, these panels serve as the floor for the left and right cabins, respectively. The automatic control system enables the left and right cabins to be bidirectionally pulled sideways for expansion and contraction. The power system supplies power to the multifunctional classroom via at least one of an external power supply and a vehicle-mounted generator. The training assistance system includes a display device and an audio system. This technical solution effectively addresses the aforementioned issues and can be used for teaching and training.

[0007] However, in combination with the existing technology and the above applications, there are still some problems in the existing technology. For example, traditional training classrooms are single-function and are often used only as a place for classes, without considering other functional needs such as discussion, practice, and self-study. As a result, the utilization rate of the classroom is greatly reduced, and a lot of time is wasted in idleness.

[0008] Traditional training classrooms have low space utilization rates and often feature fixed layouts with desks and chairs arranged in a uniform pattern. However, this layout isn't suitable for all teaching activities. Sometimes, we need more space for team discussions or hands-on practice, but traditional classroom layouts struggle to accommodate these needs. Furthermore, corridors and corner spaces are often neglected and underutilized.

[0009] The training conducted in traditional training classrooms is usually dull and lacks novelty and innovation. Trainees sitting in the classroom and listening to the lectures can easily feel bored and dull, and the training efficiency is poor.

[0010] To this end, the present invention provides a multifunctional training system. Summary of the Invention

[0011] In response to the shortcomings of the existing technology, the present invention provides a multifunctional training system that improves the functionality of the classroom by intelligently processing the classroom, facilitates the adjustment of the spatial layout inside the classroom, and realizes intelligent control and management of the interior of the classroom through an intelligent control system, thereby solving the technical problems recorded in the background technology.

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0013] A multifunctional training system comprising:

[0014] Multifunctional training classroom control system, which is used to control and adjust the units and equipment inside the training classroom;

[0015] The multifunctional training classroom control system is connected to the movable multifunctional table and chair unit, face recognition unit, intelligent display unit, AI monitoring unit and intelligent lighting unit through the data transmission unit;

[0016] The data transmission unit is used to receive, calculate and analyze the collected data information;

[0017] The movable multifunctional table and chair unit consists of a computer, display screen, flip device, lifting device, pulleys, and a main frame. The movable multifunctional table and chair unit can be freely moved and distributed, and can be arranged in different patterns according to different personnel and teaching methods to achieve better training results. The display screen of the movable multifunctional table and chair unit can be freely flipped and folded, allowing free switching between ordinary desktop and computer desk, and reducing dust falling.

[0018] The intelligent display unit consists of an electronic display screen and a projection device, achieving a dual-purpose effect. The electronic display screen and projection device in the intelligent display unit are set on the wall of the classroom podium and are used to be controlled by the computer on the teacher's desk, so as to display and project the data information on the display screen in the classroom desk.

[0019] The AI ​​monitoring unit consists of multiple multi-directional cameras, which are used to capture personnel in real time, determine their training status, and analyze and issue warnings for abnormal personnel;

[0020] The intelligent lighting unit consists of LED lights and electric curtains. It can automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains when projecting.

[0021] The face recognition unit identifies personnel information and confirms the authenticity of personnel by scanning the face, thus eliminating the problem of personnel substitution.

[0022] Furthermore, the data transmission unit includes an acquisition module for receiving data information, a filtering module for filtering out noise from the data information, a conversion module for performing analog-to-digital conversion on the data information, a gain module for amplifying the data information, and a clustering module for performing calculation and analysis on the data information. While analyzing and processing the data information, the clustering module can detect the abnormality of the data information and classify data far away from the cluster center of the data information as abnormal data.

[0023] Furthermore, the filtering module is used to filter out noise during data information transmission, improve the accuracy of data information, and facilitate subsequent calculation and processing of data information;

[0024] The filtering module uses the formula y(k) = (1-a)·y(k-1) + a·x(k);

[0025] Where: x(k) is the current input data information, y(k-1) is the output structure of the previous signal filtering, and y(k) is the output structure of the current calculation; and a is the filter coefficient, ranging from 0 to 1. The smaller the value of a, the smaller the current input weight, the smoother the output waveform, but the response sensitivity is reduced; during the calculation, the value of a is set to 0.4 to maintain the smoothness and stability of the output and to be able to quickly cope with the transmission of large amounts of data information.

[0026] Furthermore, the clustering module divides the collected data into z clusters.

[0027]

[0028] Among them, F is the outlier factor, D is the collected data information, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center, and the data information far away from the cluster center is judged as abnormal data information and is removed;

[0029] For the distance away from the cluster center, it is set to average the distance from the center position of all data information, that is, If the distance of the data information is greater than 3d, the data information is judged to be abnormal data information.

[0030] Furthermore, the flipping device is used to flip the cover of the main frame to store the computer and the display screen inside the main frame;

[0031] The lifting device is used to lift and adjust the computer and the display screen so that the computer and the display screen can be lifted to the upper part of the main frame, which is convenient for use and operation of the computer and the display screen. The cover of the main frame is first flipped open by the flip device, and then the computer and the display screen are lifted up by the lifting device. When not in use, the computer and the display screen are first lowered by the lifting device so that the computer and the display screen are inside the main frame, and then the cover of the main frame is closed by the flip device to protect the computer and the display screen.

[0032] The pulley is used to push the main frame, so that the movable multifunctional table and chair units can be moved and distributed freely. Different layout patterns can be adopted according to different personnel and teaching methods to achieve better training results.

[0033] Furthermore, the AI ​​monitoring unit has multiple multi-directional cameras set up at the four corners of the classroom. By extracting features from the captured images, it can obtain the status characteristics of the trainees and determine whether the trainees are distracted.

[0034] That is, the multi-directional camera captures the trainee's facial feature image, then determines the facial feature image and matches the trainee's facial feature image with the distraction features in the database;

[0035] The feature information is compared through the threshold gate;

[0036] The threshold gate formula is as follows:

[0037] f t =σ(W·[S t-1 ,X t ]+b), where σ is the sigmoid function, W is the weight, S t-1 is the hidden value of the previous moment, that is, the processed feature image after cutting, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f t It is the output value of the hidden gate. If the output is 1, it means that the feature matching is successful. If the output is 0, it means that the feature matching is unsuccessful. By identifying the features and matching them one by one, it is determined whether the trainee is distracted.

[0038] Furthermore, the LED lights and electric curtains in the intelligent lighting unit are controlled and adjusted with the PID control algorithm, that is, the light intensity is detected to determine whether to turn on the LED lights or open and close the electric curtains;

[0039] The calculation formula of the PID control algorithm is as follows:

[0040]

[0041] where K p is the proportional gain, e(t) is the deviation number, U(t) is the controlled output, K I is the integral gain, K D is the differential gain;

[0042] The calculation of e(t) is as follows: e(t) = v1-v2, where v1 is the comparison light threshold and v2 is the detection light intensity.

[0043] Furthermore, the face recognition unit sets the comparison between the collected facial feature points and the stored facial feature points.

[0044]

[0045] Among them, P(H I |Δ) is the posterior probability, that is, the similarity after face comparison, and if the similarity is above 60%, it is determined that the features are the same. N is the feature set for comparison judgment, and i represents the detection of a feature in the feature set. P(Δ|HI ) is the likelihood probability of the same feature, P(H I ) is the prior probability of the same feature, P(Δ|H E ) is the likelihood probability of not being the same feature, P(H E ) is the prior probability that they are not the same feature.

[0046] Furthermore, the face recognition unit constructs a face feature set, constructs a difference coefficient C from the face feature set, and then constructs a load degree CD from the face recognition difference coefficient C. If the load degree CD exceeds a load threshold, a data recollection instruction is issued. The load degree CD is constructed as follows:

[0047]

[0048] Where i = 1, 2, ..., N, N is a facial feature, weight coefficient: 0 ≤ F1 ≤ 1, 0 ≤ F2 ≤ 1 and F2 + F1 = 1; It is expressed as the mean of the coefficient of difference, that is, the mean of all values ​​of the same feature after the facial feature points are compared, C i is the preset target value for the coefficient of variation.

[0049] A training method using the multifunctional training system includes the following steps:

[0050] S1. Operation of the multifunctional training classroom control system: By supplying power to the multifunctional training classroom, the multifunctional training classroom control system can achieve stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information;

[0051] S2. Facial recognition unit detection of trainees: When trainees enter the multi-functional training classroom, the facial recognition unit scans and identifies their identity information. The facial feature points are compared with the stored facial feature points to confirm the authenticity of the trainee and prevent personnel substitution. If the facial recognition coefficient of difference C exceeds the set threshold, facial recognition is performed again.

[0052] S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are movable and adjusted by the pulleys at the bottom to realize circular, U-shaped, herringbone-shaped or cross-group layout. Then, the cover of the main frame is flipped by the flipping device, and the lifting device is used to lift and lower the computer and display screen so that the computer and display screen can be raised to the upper part of the main frame, making them easier to use and operate.

[0053] S4. AI monitoring unit observes trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, installed at the four corners of the classroom. It is used to capture trainees in real time, compare feature information through threshold gates, determine the trainee's training status, and analyze and issue warnings for abnormal personnel.

[0054] S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device. The electronic display screen and the projection device are set on the wall of the classroom podium and are used to be controlled by the computer on the teacher's desk;

[0055] S6. Intelligent lighting unit control: When the intelligent display unit is running, the intelligent lighting unit controls and adjusts according to the teaching scene of the display screen and through the PID control algorithm, automatically adjusts the brightness of the LED lighting, and automatically closes the electric curtains during projection.

[0056] The present invention provides a multifunctional training system with the following beneficial effects:

[0057] The layout of the classroom of the present invention can be quickly adjusted according to different training needs. The addition of movable multifunctional tables and chairs facilitates easy switching between training classrooms, computer rooms, examination rooms, and even conference rooms. The modular design allows each functional area to be used independently or in combination, thereby improving space utilization.

[0058] Integrated use of digital technologies: Through the rational setup and installation of smart projectors, electronic display screens, surveillance cameras, facial recognition systems, and other equipment, the Internet of Things (IoT) technology enables intelligent management of classroom equipment, such as automatic adjustment of screen brightness and air conditioning temperature, to create a comfortable learning environment for students.

[0059] Promote interaction and communication: For training content that requires student interaction and discussion, movable multifunctional tables and chairs can enable the classroom to adopt a circular, U-shaped, herringbone or group cross layout to promote face-to-face communication between students. At the same time, discussion areas or collaboration areas can be set up and equipped with production practice equipment or instruments to facilitate group students to brainstorm and team collaboration. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a structural diagram of the multifunctional training system of the present invention. DETAILED DESCRIPTION

[0061] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0062] Please refer to Figure 1 The present application provides a multifunctional training system, comprising:

[0063] The multifunctional training classroom control system is used for controlling and adjusting the units and devices inside the training classroom.

[0064] The multifunctional training classroom control system is communicatively connected with the movable multifunctional table and chair unit, the face recognition unit, the intelligent display unit, the AI monitoring unit and the intelligent lighting unit through the data transmission unit.

[0065] The data transmission unit is used for receiving, calculating and analyzing the collected data information.

[0066] The movable multifunctional table and chair unit is composed of a computer, a display screen, a turnover device, a lifting device, a pulley and a main frame. The movable multifunctional table and chair unit can be freely moved and distributed, and different arrangement patterns can be adopted according to different personnel and teaching methods to achieve better training effect. The display screen of the movable multifunctional table and chair unit can be freely turned over and folded, and can be freely switched between an ordinary table top and a computer desk, and the falling of dust is reduced.

[0067] The intelligent display unit is composed of an electronic display screen and a projection device, achieving a dual-purpose effect. The electronic display screen and the projection device in the intelligent display unit are arranged on the wall of the podium in the classroom, and are controlled by the computer of the teacher's desk, so as to facilitate the display and projection of the data information on the display screen in the classroom.

[0068] The AI monitoring unit is composed of multiple multi-directional cameras, which are used for real-time capturing of personnel, judgment of the training state of the personnel, analysis and early warning of abnormal personnel.

[0069] The intelligent lighting unit is composed of an LED lighting lamp and an electric window curtain, which can automatically adjust the brightness according to the teaching scene of the display screen, and automatically close the window curtain when projecting.

[0070] The face recognition unit recognizes personnel information by scanning the face, and confirms the authenticity of the personnel, thereby eliminating the problem of personnel substitution.

[0071] In order to realize the transmission of data information, facilitate the intelligent control and adjustment of the classroom, and analyze and process the data information, so as to facilitate the control and adjustment of the multi-functional training classroom control system, in this embodiment, preferably, the data transmission unit includes an acquisition module for receiving data information, a filtering module for filtering out noise from the data information, a conversion module for performing analog-to-digital conversion on the data information, a gain module for amplifying the data information, and a clustering module for performing calculation and analysis on the data information. While analyzing and processing the data information, the clustering module can detect the abnormality of the data information and classify the data far away from the cluster center of the data information as abnormal data.

[0072] In order to filter the transmitted data information and remove the noise in the data information, in this embodiment, preferably, the filtering module is used to filter the noise during the data information transmission process, thereby improving the accuracy of the data information and facilitating subsequent calculation and processing of the data information;

[0073] The filtering module uses the formula y(k) = (1-a)·y(k-1) + a·x(k);

[0074] Where: x(k) is the current input data information, y(k-1) is the output structure of the previous signal filtering, and y(k) is the output structure of the current calculation; and a is the filter coefficient, ranging from 0 to 1. The smaller the value of a, the smaller the current input weight, the smoother the output waveform, but the response sensitivity is reduced; during the calculation, the value of a is set to 0.4 to maintain the smoothness and stability of the output and to be able to quickly cope with the transmission of large amounts of data information.

[0075] In order to analyze and process the transmitted data information and eliminate abnormal data information, in this embodiment, preferably, the clustering module divides the collected data information into z clusters.

[0076]

[0077] Among them, F is the outlier factor, D is the collected data information, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center, and the data information far away from the cluster center is judged as abnormal data information and is removed;

[0078] For the distance away from the cluster center, it is set to average the distance from the center position of all data information, that is, If the distance of the data information is greater than 3d, the data information is judged to be abnormal data information.

[0079] In order to protect the computer and the display screen, facilitate the conversion between ordinary and intelligent desks, and enable the desks to be movable and adjustable, in this embodiment, preferably, the flip device is used to flip the cover of the main frame to store the computer and the display screen inside the main frame;

[0080] The lifting device is used to lift and adjust the computer and the display screen so that the computer and the display screen can be lifted to the upper part of the main frame, which is convenient for use and operation of the computer and the display screen. The cover of the main frame is first flipped open by the flip device, and then the computer and the display screen are lifted up by the lifting device. When not in use, the computer and the display screen are first lowered by the lifting device so that the computer and the display screen are inside the main frame, and then the cover of the main frame is closed by the flip device to protect the computer and the display screen.

[0081] The pulley is used to push the main frame, so that the movable multifunctional table and chair units can be moved and distributed freely. Different layout patterns can be adopted according to different personnel and teaching methods to achieve better training results.

[0082] In order to detect the status of trainees and prevent them from losing concentration and becoming distracted, in this embodiment, preferably, multiple multi-directional cameras of the AI ​​monitoring unit are respectively set at the four corners of the classroom. By extracting features from the captured images, the status features of the trainees are obtained to determine whether the trainees are distracted.

[0083] That is, the multi-directional camera captures the trainee's facial feature image, then determines the facial feature image and matches the trainee's facial feature image with the distraction features in the database;

[0084] The feature information is compared through the threshold gate;

[0085] The threshold gate formula is as follows:

[0086] f t =σ(W·[S t-1 ,X t ]+b), where σ is the sigmoid function, W is the weight, S t-1 is the hidden value of the previous moment, that is, the processed feature image after cutting, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f tIt is the output value of the hidden gate. If the output is 1, it means that the feature matching is successful. If the output is 0, it means that the feature matching is unsuccessful. By identifying the features and matching them one by one, it is determined whether the trainee is distracted.

[0087] In order to realize intelligent control and adjustment of the training classroom, it is convenient to automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains during projection. In this embodiment, preferably, the LED lighting and electric curtains in the intelligent lighting unit are controlled and adjusted with the PID control algorithm, that is, the light intensity is detected to determine whether to turn on the LED lighting or open or close the electric curtains;

[0088] The calculation formula of the PID control algorithm is as follows:

[0089]

[0090] where K p is the proportional gain, e(t) is the deviation number, U(t) is the controlled output, K I is the integral gain, K D is the differential gain;

[0091] The calculation of e(t) is as follows: e(t) = v1-v2, where v1 is the comparison light threshold and v2 is the detection light intensity.

[0092] In order to realize facial recognition of trainees, facilitate determining the identity information of trainees, and prevent the trainees from being replaced, in this embodiment, preferably, the face recognition unit sets the collected facial feature points to be compared with the stored facial feature points.

[0093]

[0094] Among them, P(H I |Δ) is the posterior probability, that is, the similarity after face comparison, and if the similarity is above 60%, it is determined that the features are the same. N is the feature set for comparison judgment, and i represents the detection of a feature in the feature set. P(Δ|H I ) is the likelihood probability of the same feature, P(H I ) is the prior probability of the same feature, P(Δ|H E ) is the likelihood probability of not being the same feature, P(H E ) is the prior probability that they are not the same feature.

[0095] In order to perform a re-recognition scan when an abnormality occurs in the facial recognition of the trainee, in this embodiment, preferably, the face recognition unit constructs a face feature set, constructs a difference coefficient C from the face feature set, and then constructs a load degree CD from the face recognition difference coefficient C. If the load degree CD exceeds a load threshold, a data re-collection instruction is issued; wherein, the load degree CD is constructed in the following manner:

[0096]

[0097] Where i = 1, 2, ..., N, N is a facial feature, weight coefficient: 0 ≤ F1 ≤ 1, 0 ≤ F2 ≤ 1 and F2 + F1 = 1; It is expressed as the mean of the coefficient of difference, that is, the mean of all values ​​of the same feature after the facial feature points are compared, C i is the preset target value for the coefficient of variation.

[0098] In this embodiment, the training method using the multifunctional training system described above is implemented in the following steps:

[0099] S1. Operation of the multifunctional training classroom control system: By supplying power to the multifunctional training classroom, the multifunctional training classroom control system can achieve stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information;

[0100] S2. Facial recognition unit detection of trainees: When trainees enter the multi-functional training classroom, the facial recognition unit scans and identifies their identity information. The facial feature points are compared with the stored facial feature points to confirm the authenticity of the trainee and prevent personnel substitution. If the facial recognition coefficient of difference C exceeds the set threshold, facial recognition is performed again.

[0101] S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are movable and adjusted by the pulleys at the bottom to realize circular, U-shaped, herringbone-shaped or cross-group layout. Then, the cover of the main frame is flipped by the flipping device, and the lifting device is used to lift and lower the computer and display screen so that the computer and display screen can be raised to the upper part of the main frame, making them easier to use and operate.

[0102] S4. AI monitoring unit observes trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, installed at the four corners of the classroom. It is used to capture trainees in real time, compare feature information through threshold gates, determine the trainee's training status, and analyze and issue warnings for abnormal personnel.

[0103] S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device. The electronic display screen and the projection device are set on the wall of the classroom podium and are used to be controlled by the computer on the teacher's desk;

[0104] S6. Intelligent lighting unit control: When the intelligent display unit is running, the intelligent lighting unit controls and adjusts according to the teaching scene of the display screen and through the PID control algorithm, automatically adjusts the brightness of the LED lighting, and automatically closes the electric curtains during projection.

[0105] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A multifunctional training system, characterized in that: include: Multifunctional training classroom control system, which is used to control and adjust the units and equipment inside the training classroom; The multifunctional training classroom control system is connected to the movable multifunctional table and chair unit, face recognition unit, intelligent display unit, AI monitoring unit and intelligent lighting unit through the data transmission unit; The data transmission unit is used to receive, calculate and analyze the collected data information; The movable multifunctional table and chair unit consists of a computer, display screen, flip device, lifting device, pulleys, and a main frame. The movable multifunctional table and chair unit can be freely moved and distributed, and can be arranged in different patterns according to different personnel and teaching methods to achieve better training results. The display screen of the movable multifunctional table and chair unit can be freely flipped and folded, allowing free switching between ordinary desktop and computer desk, and reducing dust falling. The intelligent display unit consists of an electronic display screen and a projection device, achieving a dual-purpose effect. The electronic display screen and projection device in the intelligent display unit are set on the wall of the classroom podium and are used to be controlled by the computer on the teacher's desk, so as to display and project the data information on the display screen in the classroom desk. The AI ​​monitoring unit consists of multiple multi-directional cameras, which are used to capture personnel in real time, determine their training status, and analyze and issue warnings for abnormal personnel; The intelligent lighting unit consists of LED lights and electric curtains. It can automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains when projecting. The face recognition unit identifies personnel information and confirms the authenticity of personnel by scanning the face, thus eliminating the problem of personnel substitution.

2. A multifunctional training system according to claim 1, characterized in that: The data transmission unit includes an acquisition module for receiving data information, a filtering module for filtering out noise from the data information, a conversion module for performing analog-to-digital conversion on the data information, a gain module for amplifying the data information, and a clustering module for performing calculation and analysis on the data information. While analyzing and processing the data information, the clustering module can detect the abnormality of the data information and classify data far away from the cluster center of the data information as abnormal data.

3. A multifunctional training system according to claim 2, characterized in that: The filtering module is used to filter out noise during data transmission, improve the accuracy of data information, and facilitate subsequent calculation and processing of data information; The filtering module uses the formula y(k) = (1-a)·y(k-1) + a·x(k); Where: x(k) is the current input data information, y(k-1) is the output structure of the previous signal filtering, and y(k) is the output structure of the current calculation; and a is the filter coefficient, ranging from 0 to 1. The smaller the value of a, the smaller the current input weight, the smoother the output waveform, but the response sensitivity is reduced; During the calculation, the value of a is set to 0.4 to maintain the smoothness and stability of the output and to be able to quickly cope with the transmission of large amounts of data information.

4. The multifunctional training system according to claim 2, characterized in that: The clustering module divides the collected data into z clusters. Among them, F is the outlier factor, D is the collected data information, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center, and the data information far away from the cluster center is judged as abnormal data information and is removed; For the distance away from the cluster center, it is set to average the distance from the center position of all data information, that is, If the distance of the data information is greater than 3d, the data information is judged to be abnormal data information.

5. The multifunctional training system according to claim 1, characterized in that: The flipping device is used to flip the cover of the main frame to store the computer and the display screen inside the main frame; The lifting device is used to lift and adjust the computer and the display screen so that the computer and the display screen can be lifted to the upper part of the main frame, which is convenient for use and operation of the computer and the display screen. The cover of the main frame is first flipped open by the flip device, and then the computer and the display screen are lifted up by the lifting device. When not in use, the computer and the display screen are first lowered by the lifting device so that the computer and the display screen are inside the main frame, and then the cover of the main frame is closed by the flip device to protect the computer and the display screen. The pulley is used to push the main frame, so that the movable multifunctional table and chair units can be moved and distributed freely. Different layout patterns can be adopted according to different personnel and teaching methods to achieve better training results.

6. A multifunctional training system according to claim 5, characterized in that: The AI ​​monitoring unit has multiple multi-directional cameras installed at the four corners of the classroom. By extracting features from the captured images, it can obtain the status characteristics of the trainees and determine whether they are distracted. That is, the multi-directional camera captures the trainee's facial feature image, then determines the facial feature image and matches the trainee's facial feature image with the distraction features in the database; The feature information is compared through the threshold gate; The threshold gate formula is as follows: f t =σ(W·[S t-1 ,X t ]+b), where σ is the sigmoid function, W is the weight, S t-1 is the hidden value of the previous moment, that is, the processed feature image after cutting, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f t It is the output value of the hidden gate. If the output is 1, it means that the feature matching is successful. If the output is 0, it means that the feature matching is unsuccessful. By identifying the features and matching them one by one, it is determined whether the trainee is distracted.

7. The multifunctional training system according to claim 1, characterized in that: The LED lights and electric curtains in the intelligent lighting unit are controlled and adjusted with the PID control algorithm, that is, the light intensity is detected to determine whether to turn on the LED lights or open and close the electric curtains; The calculation formula of the PID control algorithm is as follows: where K p is the proportional gain, e(t) is the deviation number, U(t) is the controlled output, K I is the integral gain, K D is the differential gain; The calculation of e(t) is as follows: e(t) = v1-v2, where v1 is the comparison light threshold and v2 is the detection light intensity.

8. The multifunctional training system according to claim 1, characterized in that: The face recognition unit sets the collected facial feature points to compare with the stored facial feature points. Among them, P(H I Δ) is the posterior probability, that is, the similarity after facial comparison, and if the similarity is above 60%, it is determined that the features are the same. N is the feature set for comparison and judgment, and i represents the detection of a feature in the feature set. P(ΔH I ) is the likelihood probability of the same feature, P(H I ) is the prior probability of the same feature, P(ΔH E ) is the likelihood probability of not being the same feature, P(H E ) is the prior probability that they are not the same feature.

9. The multifunctional training system according to claim 8, characterized in that: The face recognition unit constructs a face feature set, constructs a difference coefficient C from the face feature set, and then constructs a load degree CD from the face recognition difference coefficient C. If the load degree CD exceeds the load threshold, a data re-collection instruction is issued. The load degree CD is constructed as follows: Where i = 1, 2, ..., N, N is a facial feature, weight coefficient: 0 ≤ F1 ≤ 1, 0 ≤ F2 ≤ 1 and F2 + F1 = 1; It is expressed as the mean of the coefficient of difference, that is, the mean of all values ​​of the same feature after the facial feature points are compared, C i is the preset target value for the coefficient of variation.

10. A training method according to any one of claims 1 to 9, characterized in that: Here are the steps: S1. Operation of the multifunctional training classroom control system: By supplying power to the multifunctional training classroom, the multifunctional training classroom control system can achieve stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information; S2. Facial recognition unit detection of trainees: When trainees enter the multi-functional training classroom, the facial recognition unit scans and identifies their identity information. The facial feature points are compared with the stored facial feature points to confirm the authenticity of the trainee and prevent personnel substitution. If the facial recognition coefficient of difference C exceeds the set threshold, facial recognition is performed again. S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are movable and adjusted by the pulleys at the bottom to realize circular, U-shaped, herringbone-shaped or cross-group layout. Then, the cover of the main frame is flipped by the flipping device, and the lifting device is used to lift and lower the computer and display screen so that the computer and display screen can be raised to the upper part of the main frame, making them easier to use and operate. S4. AI monitoring unit observes trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, installed at the four corners of the classroom. It is used to capture trainees in real time, compare feature information through threshold gates, determine the trainee's training status, and analyze and issue warnings for abnormal personnel. S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device. The electronic display screen and the projection device are set on the wall of the classroom podium and are used to be controlled by the computer on the teacher's desk; S6. Intelligent lighting unit control: When the intelligent display unit is running, the intelligent lighting unit controls and adjusts according to the teaching scene of the display screen and through the PID control algorithm, automatically adjusts the brightness of the LED lighting, and automatically closes the electric curtains during projection.

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