Multifunctional training system

Abstract

The invention discloses a multifunctional training system which comprises a multifunctional training classroom control system, and the multifunctional training classroom control system 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 of the system can be rapidly adjusted according to different training requirements, and easy switching among a training classroom, a machine room, an examination room and even a conference room is facilitated; integrated use of the digital technology: intelligent management of classroom equipment is realized through reasonable arrangement and installation of equipment such as an intelligent projection, an electronic display screen, a monitoring camera and a face recognition system by utilizing the Internet of Things technology; different layouts can be adopted in the classroom through the movable multifunctional tables and chairs, face-to-face communication between students is promoted, meanwhile, a discussion area or a cooperation area is arranged, production practice equipment or instruments are arranged, and the group students can conveniently conduct brainstorm and team cooperation.

Description

Technical Field

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

[0002] Training is mainly based on cultivation and training, and trainees are able to master certain skills through cultivation, training, observation and other means. Training is mainly based on skills and focuses on behavioral practice. In order to achieve unified scientific and technological specifications and standardized operations, through goal planning and setting, knowledge and information transmission, skill proficiency drills, operation achievement assessment, result communication and announcement and other modern information-based processes, trainees can achieve the expected level through certain means to improve their goals, combat effectiveness, personal ability, and work ability. Training is called training.

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

[0004] Simply put, training is roughly equivalent to teaching. That is, teaching services for a certain skill, such as some professional training courses. It can also be understood that training is the provision of teaching.

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

[0006] In the Chinese invention patent application publication number CN104091475A, a mobile multifunctional classroom is disclosed, which mainly solves the problems of complicated operation and low automation in the prior art. The present invention adopts a mobile multifunctional classroom, including a chassis, a side-pull-type cabin, an automatic control system, a power system and a training auxiliary system, wherein the chassis is a second-class chassis or a third-class chassis; the side-pull-type cabin includes a left cabin, a middle cabin and a right cabin, the bottom plate of the middle cabin is fixed on the chassis, and independent movable plates are provided on the left and right sides of the middle cabin, and are hinged and fixed with the bottom plate of the middle cabin, which can be used as the bottom plate of the left and right cabins after unfolding, and the left and right cabins can be bidirectionally pulled and unfolded or retracted through the automatic control system; the power system supplies power to the multifunctional classroom through at least one of an external power supply and a vehicle-mounted generator; the training auxiliary system includes a display device and an audio device, which solves the above problems well and can be used in teaching and training.

[0007] However, in combination with the prior art and the above application, there are still some problems in the prior art, for example, the traditional training classroom has a single function and is often only used as a place for classes, without considering other functional requirements, such as discussion, practice, self-study, etc. 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, and the layout is often fixed, with tables and chairs arranged in a uniform manner, but such a layout is not suitable for all teaching activities. Sometimes, we need a larger space for team discussions or practical operations, but the layout of traditional classrooms can hardly meet these needs. In addition, corridors and corner spaces are often neglected and not fully utilized.

[0009] The training conducted in traditional training classrooms is usually dull, without novelty and innovation. Trainees sitting in the classroom and listening to 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 view of the deficiencies in the prior art, the present invention provides a multifunctional training system, which improves the functionality of the classroom by intelligently processing the classroom, facilitates 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: The multifunctional training classroom control system 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, the face recognition unit, the intelligent display unit, the AI ​​monitoring unit and the intelligent lighting unit through the data transmission unit communication;

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

[0017] The movable multifunctional table and chair unit is composed of a computer, a display screen, a flip 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 layout patterns can be adopted according to different personnel and teaching methods to achieve better training effects; the display screen of the movable multifunctional table and chair unit can be freely flipped and folded, and can be freely switched between an ordinary desktop and a computer desk, and reduce the falling of dust;

[0018] 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 set on the podium wall of the classroom, and are used to control 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 warn abnormal personnel;

[0020] The intelligent lighting unit consists of LED lighting and electric curtains, which can automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains during projection;

[0021] The face recognition unit identifies the person's information and confirms the person's authenticity by scanning the person's 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 abnormalities in 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 filter 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; when calculating, a is set to 0.4 to maintain the smoothness and stability of the output, and can quickly respond to 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 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 using and operating 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 dropped 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 unit 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, multiple multi-directional cameras of the AI ​​monitoring unit are set up at the four corners of the classroom. By extracting features from the captured images, the state features of the trainees are obtained to determine whether the trainees are distracted;

[0034] That is, the multi-directional camera captures the facial feature image of the trainee, and then determines the facial feature image, and matches the facial feature image of the trainee with the distraction feature 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 cut feature image, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f t 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 lighting and electric curtains in the intelligent lighting unit are controlled and adjusted with the PID control algorithm, that is, whether to turn on the LED lighting or open and close the electric curtains is determined by detecting the light intensity;

[0039] The calculation formula of 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. If the similarity is above 60%, the features are determined to be the same. N is the feature set for comparison and 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 that it is not the same feature, P(H E ) is the prior probability that they are not the same feature.

[0046] Further, 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 difference coefficient C of face recognition. If the load degree CD exceeds the load threshold, a data re-collection instruction is issued; wherein, the load degree CD is constructed in the following manner:

[0047]

[0048] Among them, i = 1, 2, ..., N, N is a face 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, comprising 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 realize stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information;

[0051] S2. Face recognition unit detects trainees: When trainees enter the multifunctional training classroom, the face recognition unit scans and identifies their identity information, and compares their facial feature points with the stored facial feature points to confirm the authenticity of the trainees, thus preventing the trainees from being replaced. When the difference coefficient C of face recognition exceeds the set threshold, face recognition is performed again.

[0052] S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are moved and adjusted by the pulley at the bottom to realize a circular, U-shaped, herringbone-shaped or group cross-shaped layout, and then the cover of the main frame is turned over by the turning device, and 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 the use and operation of the computer and the display screen;

[0053] S4. AI monitoring unit observes the trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, which are set up at the four corners of the classroom. It is used to capture the trainees in real time, compare the feature information through the threshold gate, judge the training status of the trainees, and analyze and warn the abnormal trainees.

[0054] S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device, which are set on the podium wall of the classroom and are used to be controlled by a 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 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, which has 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. A modular design is considered so that each functional area can be used independently or in combination, thereby improving space utilization.

[0058] Integrated use of digital technology: through the reasonable setting and installation of intelligent projection, electronic display screens, surveillance cameras, face recognition systems and other equipment, the use of Internet of Things technology to achieve 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 teamwork. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] See also Figure 1 The present invention provides a multifunctional training system, comprising:

[0063] Multifunctional training classroom control system: The multifunctional training classroom control system is used to control and adjust the units and equipment inside the training classroom;

[0064] The multifunctional training classroom control system is connected to 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 communication;

[0065] The data transmission unit is used to receive, calculate and analyze the collected data information;

[0066] The movable multifunctional table and chair unit is composed of a computer, a display screen, a flip 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 layout patterns can be adopted according to different personnel and teaching methods to achieve better training effects; the display screen of the movable multifunctional table and chair unit can be freely flipped and folded, and can be freely switched between an ordinary desktop and a computer desk, and reduce the falling of dust;

[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 set on the podium wall of the classroom, and are used to control the computer on the teacher's desk, so as to display and project the data information on the display screen in the classroom desk;

[0068] 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 warn abnormal personnel;

[0069] The intelligent lighting unit consists of LED lighting and electric curtains, which can automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains during projection;

[0070] The face recognition unit identifies the person's information and confirms the person's authenticity by scanning the person's face, thus 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 calculating and analyzing 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 clustering center of the data information as abnormal data.

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

[0073] The filter 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; when calculating, a is set to 0.4 to maintain the smoothness and stability of the output, and can quickly respond to 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 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 the ordinary and intelligent desks, and enable the desks to be movable and adjustable, in this embodiment, preferably, 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;

[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 using and operating 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 dropped 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 unit 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 the trainees and prevent them from being distracted, in this embodiment, preferably, multiple multi-directional cameras of the AI ​​monitoring unit are respectively arranged at the four corners of the classroom, and the status features of the trainees are obtained by extracting features from the captured images to determine whether the trainees are distracted;

[0083] That is, the multi-directional camera captures the facial feature image of the trainee, and then determines the facial feature image, and matches the facial feature image of the trainee with the distraction feature 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 cut feature image, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f tis 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, it is determined by the detection of light intensity whether to turn on the LED lighting or the opening and closing of the electric curtains;

[0088] The calculation formula of 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 determination of trainees' identity information and prevent trainees from being replaced, in this embodiment, preferably, the face recognition unit sets the comparison of collected facial feature points with stored facial feature points.

[0093]

[0094] Among them, P(H I |Δ) is the posterior probability, that is, the similarity after face comparison. If the similarity is above 60%, the features are determined to be the same. N is the feature set for comparison and 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 that it is not 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 the facial recognition of the trainee is abnormal, 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 difference coefficient C of face recognition. If the load degree CD exceeds the load threshold, a data re-collection instruction is issued; wherein, the load degree CD is constructed in the following manner:

[0096]

[0097] Among them, i = 1, 2, ..., N, N is a face 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 performed 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 realize stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information;

[0100] S2. Face recognition unit detects trainees: When trainees enter the multifunctional training classroom, the face recognition unit scans and identifies their identity information, and compares their facial feature points with the stored facial feature points to confirm the authenticity of the trainees, thus preventing the trainees from being replaced. When the difference coefficient C of face recognition exceeds the set threshold, face recognition is performed again.

[0101] S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are moved and adjusted by the pulley at the bottom to realize a circular, U-shaped, herringbone-shaped or group cross-shaped layout, and then the cover of the main frame is turned over by the turning device, and 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 the use and operation of the computer and the display screen;

[0102] S4. AI monitoring unit observes the trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, which are set up at the four corners of the classroom. It is used to capture the trainees in real time, compare the feature information through the threshold gate, judge the training status of the trainees, and analyze and warn the abnormal trainees.

[0103] S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device, which are set on the podium wall of the classroom and are used to be controlled by a 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 through the PID control algorithm, automatically adjusts the brightness of the LED lighting, and automatically closes the electric curtains during projection.

[0105] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A multifunctional training system, It is characterized in that include: Multifunctional training classroom control system: The multifunctional training classroom control system 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, the face recognition unit, the intelligent display unit, the AI ​​monitoring unit and the intelligent lighting unit through the data transmission unit communication; The data transmission unit is used to receive, calculate and analyze the collected data information; The movable multifunctional table and chair unit is composed of a computer, a display screen, a flip 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 layout patterns can be adopted according to different personnel and teaching methods to achieve better training effects; the display screen of the movable multifunctional table and chair unit can be freely flipped and folded, and can be freely switched between an ordinary desktop and a computer desk, and reduce the falling of dust; 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 set on the podium wall of the classroom, and are used to control 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 warn abnormal personnel; The intelligent lighting unit consists of LED lighting and electric curtains, which can automatically adjust the brightness according to the teaching scene of the display screen and automatically close the curtains during projection; The face recognition unit identifies the person's information and confirms the person's authenticity by scanning the person's face, thus eliminating the problem of personnel substitution.

2. A multifunctional training system according to claim 1, Features: 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.

3. A multifunctional training system according to claim 2, Features: 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; The filter 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, 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. A multifunctional training system according to claim 2, Features: 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 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. A multifunctional training system according to claim 1, Features: 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 using and operating 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 dropped 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 unit 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, Features: 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 features of the trainees and determine whether the trainees are distracted. That is, the multi-directional camera captures the facial feature image of the trainee, and then determines the facial feature image, and matches the facial feature image of the trainee with the distraction feature 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 cut feature image, X t is the input value at time t, that is, the feature image after cutting, b is the bias, f t 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. A multifunctional training system according to claim 1, Features: 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 and close the electric curtains; The calculation formula of 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) = v 1 -v 2 , find the middle v 1 To compare the illumination threshold, v 2 To detect light intensity.

8. A multifunctional training system according to claim 1, Features: The face recognition unit sets the comparison between the collected facial feature points and the stored facial feature points. 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, 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 that it is not the same feature, P(H E ) is the prior probability that they are not the same feature.

9. A multifunctional training system according to claim 8, Features: The face recognition unit constructs a face feature set, and constructs a difference coefficient C from the face feature set, and then constructs a load degree CD from the difference coefficient C of face recognition. If the load degree CD exceeds the load threshold, a data re-collection instruction is issued; wherein, the load degree CD is constructed in the following manner: Among them, i = 1, 2, ..., N, N is the face feature, weight coefficient: 0 ≤ F 1 ≤1,0≤F 2 ≤1 and F 2 +F 1 =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 the multifunctional training system according to any one of claims 1 to 9, It is 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 realize stable operation, and control subordinate units through the data transmission unit, and complete the transmission of data information; S2. Face recognition unit detects trainees: When trainees enter the multifunctional training classroom, the face recognition unit scans and identifies their identity information, and compares their facial feature points with the stored facial feature points to confirm the authenticity of the trainees, thus preventing the trainees from being replaced. When the difference coefficient C of face recognition exceeds the set threshold, face recognition is performed again. S3. Adjustment of the movable multifunctional table and chair unit: The multifunctional table and chair are moved and adjusted by the pulley at the bottom to realize a circular, U-shaped, herringbone-shaped or group cross-shaped layout, and then the cover of the main frame is turned over by the turning device, and 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 the use and operation of the computer and the display screen; S4. AI monitoring unit observes the trainees: The AI ​​monitoring unit consists of multiple multi-directional cameras, which are set up at the four corners of the classroom. It is used to capture the trainees in real time, compare the feature information through the threshold gate, judge the training status of the trainees, and analyze and warn the abnormal trainees. S5. Intelligent display unit displays teaching content: During teaching, the teaching content is displayed through an electronic display screen and a projection device, which are set on the podium wall of the classroom and are used to be controlled by a 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 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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