Intelligent practical training teaching system and practical training method

Abstract

The invention relates to the technical field of practical training teaching, and discloses an intelligent practical training teaching system and a practical training method, and the system comprises a teaching end, an operation end and a practical training end. The practical training end comprises a data acquisition module, an operation data analysis module, a self-adaptive feedback module and a teaching effect evaluation module; a virtual practical training environment is constructed through a digital twinborn model, so that practical training teaching is not limited by time and space any more, large-scale practical training requirements can be met, meanwhile, nonstandard operation and illegal operation in the practical training operation process can be found in time through an operation data analysis module and a self-adaptive feedback module, correction and warning reminding are carried out in time, and the practical training efficiency is improved. When the number of trainees is large, the problems of the trainees can still be found in time, the practical training effect can be quantitatively evaluated in time, difficulty adjustment is carried out according to the teaching conditions of different trainees, and personalized teaching requirements are met.

Description

Technical Field

[0001] This invention relates to the field of practical training and teaching technology, and more specifically to a smart practical training and teaching system and practical training method. Background Technology

[0002] With the development of technology, practical training systems have been widely used in education and training, industrial manufacturing, and other fields. Traditional practical training systems typically involve on-site guidance from teachers or instructors, with students or operators following the instructions. However, traditional practical training methods have some shortcomings:

[0003] 1. On-site guidance and teaching by teachers or coaches are limited by time and space, making it difficult to meet the needs of large-scale practical training;

[0004] 2. Students or operators are prone to making mistakes in actual operation, and for large-scale training, with too many trainees, errors are not easy to be detected and corrected in a timely manner.

[0005] 3. The effectiveness of practical training is difficult to assess, making it difficult to achieve personalized teaching.

[0006] In view of this, the present invention provides an intelligent training and learning system and training method, which utilizes artificial intelligence to effectively improve the training effect and efficiency in the industrial training process. Summary of the Invention

[0007] In order to overcome the above-mentioned defects of the prior art, the present invention provides an intelligent training and teaching system and training method to solve the problems existing in the background art.

[0008] This invention provides the following technical solution: a smart training and teaching system, comprising a teaching terminal, an operation terminal, and a training terminal;

[0009] The teaching terminal is used by instructors to log in, publish teaching guidance information, and receive feedback information from the training terminal.

[0010] The terminal is used by trainees to log in, receive teaching and guidance information, and conduct practical training.

[0011] The training terminal is used to build a virtual training environment, collect and analyze the operation data during the training process, generate feedback information and send it to the teaching terminal, and then evaluate the teaching effect.

[0012] Preferably, the training terminal includes a data acquisition module, an operation data analysis module, an adaptive feedback module, and a teaching effectiveness evaluation module.

[0013] Preferably, the data acquisition module is used to collect operational data during the training process and perform preprocessing operations;

[0014] The operation data analysis module is used to analyze operation data, obtain the training operation quality index of trainees, respond to operation anomalies, evaluate the training operation results of trainees, and transmit the operation anomaly response results and evaluation results to the adaptive feedback module.

[0015] The adaptive feedback module is used to receive the operation anomaly response results and evaluation results from the operation data analysis module, and form corresponding feedback information to be fed back to the teaching terminal. After receiving the feedback information, the teaching terminal provides teaching guidance and transmits the data to the operation terminal. After receiving the teaching guidance on the operation terminal, the trainees begin a new round of training.

[0016] The teaching outcome evaluation module is used to evaluate the teaching results, feed the evaluation results back to the teaching end, and adaptively adjust the training difficulty based on the teaching results of each trainee.

[0017] Preferably, the specific method for obtaining the trainee's practical operation quality index is as follows:

[0018] Set a standard duration for each operation step in the training process, obtain the actual duration of each operation step performed by the trainee, and combine it with the operation trajectory to obtain the operation sequence compliance.

[0019] The operational accuracy is obtained based on the real-time electrical parameters of each test point of the object operated by the trainee during the operation process and the standard electrical parameters of each test point.

[0020] The degree of operational standardization is obtained based on other parameters of the object operated by the trainee during the operation process;

[0021] By setting proportional coefficients for operation sequence compliance, operation accuracy, and operation standardization, a comprehensive analysis is conducted to obtain the training operation quality index.

[0022] Preferably, the specific method for responding to operational anomalies is as follows:

[0023] The probability of equipment malfunction during the training process is obtained by acquiring the real-time electrical parameters of each test point of the object operated by the trainee during the operation.

[0024] The probability of operational anomalies is obtained based on other parameters of the object being operated on by the trainee during the operation process;

[0025] Risk coefficients are obtained based on the probability of equipment malfunction and the probability of operational malfunction.

[0026] Abnormal response results are obtained based on the risk coefficient.

[0027] Preferably, the risk coefficient is expressed by the formula:

[0028] Where Risk represents the risk coefficient; Pe+ec P represents the probability of equipment malfunction; mech Indicates the probability of operational anomalies; and These are the corresponding proportionality coefficients. and All satisfy the condition of being greater than 0 and less than 1.

[0029] Preferably, the abnormal response result obtained based on the risk coefficient specifically includes:

[0030] Where Result indicates the result of an abnormal response, "3" indicates an emergency warning, "2" indicates a strong warning, and "1" indicates a weak warning; Long t This indicates the duration of the anomaly, which can be understood as the duration when Risk ≥ 0.95.

[0031] Preferably, the specific method for evaluating the trainees' practical training results is as follows:

[0032] Training reward points are obtained based on the quality index of the trainees' training operations, and training penalty points are obtained based on the results of abnormal responses. The training operation results of the trainees are evaluated based on the training reward points and training penalty points to obtain the final training evaluation score.

[0033] The training reward points are obtained in the following way:

[0034] The teaching end sets multiple training operation quality index intervals according to the actual training content, and assigns corresponding scores to different operation quality index intervals, with a maximum score of 10 points. Based on the trainee's training operation quality index, the interval corresponding to the operation quality index is determined, and the score of the interval corresponding to the operation quality index is obtained, which is the training reward score.

[0035] The training penalty score is the same as the value corresponding to the abnormal response result. If the abnormal response result is "3", the penalty score is 3; if the abnormal response result is "2", the penalty score is 2; if the abnormal response result is "1", the penalty score is 1.

[0036] The final practical training evaluation is calculated by subtracting the practical training penalty points from the practical training reward points, and the final practical training evaluation score is used as the evaluation result.

[0037] Preferably, the teaching outcome evaluation module evaluates the teaching outcome in the following specific way:

[0038] The training evaluation scores of trainees in each round of training are subtracted. Specifically, the difference is calculated by subtracting the training evaluation score of the previous round from the current round's score. These subtracted scores are arranged sequentially to form a set of training difference scores for each trainee. If the set of difference scores consists entirely of positive values, it is marked as "Effective Teaching". If the set of difference scores consists entirely of negative values, it is marked as "Ineffective Teaching". If the set of difference scores contains both positive and negative values, it is marked as "Teaching Needs Improvement". The number of "Effective Teaching", "Ineffective Teaching", and "Teaching Needs Improvement" labels is counted to obtain their respective percentages. If the percentage of "Effective Teaching" is greater than or equal to 95% and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as excellent. If the percentage of "Effective Teaching" is greater than or equal to 50% but less than 95% and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as good. If the percentage of "Effective Teaching" is less than 50% and the percentage of "Ineffective Teaching" is greater than or equal to 5%, the teaching result can be evaluated as unsatisfactory.

[0039] A smart training method includes the following steps:

[0040] Step 1: The instructor logs in and publishes instruction information;

[0041] Step 2: Trainees log in, receive instruction and guidance information, and conduct practical training;

[0042] Step 3: Collect the operational data during the practical training process and perform preprocessing operations;

[0043] Step 4: Analyze the operation data to obtain the trainee's operation quality index, and at the same time, respond to operation anomalies and evaluate the trainee's operation results.

[0044] Step 5: Receive the operation anomaly response results and evaluation results from the operation data analysis module, and generate corresponding feedback information;

[0045] Step 6: After receiving the feedback information, the logged-in instructor will provide teaching guidance and transmit the data to the trainee. After receiving the teaching guidance, the trainee will begin a new round of training.

[0046] Step 7: Evaluate the teaching results and provide feedback to the instructors. At the same time, adjust the difficulty of the training according to the teaching results of each trainee.

[0047] The technical effects and advantages of this invention are as follows:

[0048] This invention, by incorporating a teaching terminal, an operation terminal, and a training terminal, facilitates the connection of these terminals via wired / wireless means. A virtual training environment is constructed using a digital twin model, freeing training from the limitations of time and space and meeting the needs of large-scale training. Simultaneously, the operation data analysis module and adaptive feedback module promptly detect non-standard and irregular operations during training, providing timely correction and warnings. For large-scale training, manual inspection is unnecessary to identify and correct trainees' errors. Even with a large number of trainees, problems can be promptly identified, training effectiveness can be quantitatively evaluated, and the difficulty can be adjusted according to the individual trainees' learning progress to meet personalized teaching needs. Attached Figure Description

[0049] Figure 1 This is a structural diagram of the intelligent training and teaching system of the present invention.

[0050] Figure 2 This is a structural diagram of the training terminal of the present invention.

[0051] Figure 3 This is a flowchart of the intelligent practical training and teaching method of the present invention. Detailed Implementation

[0052] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The intelligent training and teaching system and training method involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] like Figure 1 As shown, the present invention provides an intelligent training and teaching system, including a teaching terminal, an operation terminal, and a training terminal;

[0054] The teaching terminal is used by instructors to log in, publish teaching guidance information, and receive feedback information from the training terminal.

[0055] The terminal is used by trainees to log in, receive teaching and guidance information, and conduct practical training.

[0056] The training terminal is used to build a virtual training environment, collect and analyze the operation data during the training process, generate feedback information and send it to the teaching terminal, and then evaluate the teaching effect.

[0057] The instructional information includes, but is not limited to, training content, demonstration videos, operational precautions, and error correction videos. The training is conducted on the training terminal. After logging in, the trainee's data is linked to the data generated by the terminal; that is, the data on the terminal is the data generated by the trainee during the training process. The training terminal constructs a virtual training environment based on digital twin technology, achieving precise mapping between virtual and real space with an error of less than 0.5 millimeters. This enables accurate collection of operational data within the virtual training environment, laying a data foundation for subsequent analysis.

[0058] like Figure 2 As shown, the training terminal includes a data acquisition module, an operation data analysis module, an adaptive feedback module, and a teaching effectiveness evaluation module;

[0059] The data acquisition module is used to collect and preprocess operational data during the training process. The operational data includes, but is not limited to, the time consumed by each operational step, real-time electrical parameters and other parameters of each test point on the operational object, and the operational trajectory. The operational object is the object being operated on during the training; for example, if the training content is a robotic arm operation, the operational object is the robotic arm; if the training content is a CNC machine tool operation, the operational object is the CNC machine tool. Other parameters can be set by those skilled in the art according to different operational objects. If the operational content is a robotic arm, other parameters can be set as the angles of each joint of the robotic arm; if the operational content is a CNC machine tool, other parameters can be set as the displacement and operating force of each component of the machine tool. Each test point is a key point in the operational object; for example, during robotic arm training, each test point can be set as each joint point of the robotic arm. The operational trajectory can be the sequence of operational steps. The preprocessing operation includes, but is not limited to, cleaning and noise reduction of the data to ensure data quality and consistency, so as to facilitate further analysis of the data.

[0060] The operation data analysis module is used to analyze operation data, obtain the training operation quality index of trainees, respond to operation anomalies, evaluate the training operation results of trainees, and transmit the operation anomaly response results and evaluation results to the adaptive feedback module.

[0061] The adaptive feedback module is used to receive the operation anomaly response results and evaluation results from the operation data analysis module, and form corresponding feedback information to be fed back to the teaching terminal. After receiving the feedback information, the teaching terminal provides teaching guidance and transmits the data to the operation terminal. After receiving the teaching guidance on the operation terminal, the trainees begin a new round of training.

[0062] The teaching outcome evaluation module is used to evaluate the teaching results, feed the evaluation results back to the teaching end, and adaptively adjust the training difficulty based on the teaching results of each trainee.

[0063] In this embodiment, it should be specifically explained that the specific method for obtaining the trainee's practical operation quality index is as follows:

[0064] Set a standard duration for each operation step in the training process, obtain the actual duration of each operation step performed by the trainee, and combine it with the operation trajectory to obtain the operation sequence compliance.

[0065] The operational accuracy is obtained based on the real-time electrical parameters of each test point of the object operated by the trainee during the operation process and the standard electrical parameters of each test point.

[0066] The degree of operational standardization is obtained based on other parameters of the object operated by the trainee during the operation process;

[0067] By setting proportional coefficients for operation sequence compliance, operation accuracy, and operation standardization, a comprehensive analysis is conducted to obtain the training operation quality index.

[0068] In this embodiment, it should be specifically noted that the operation timing compliance degree is expressed by the formula:

[0069] Where Q1 represents the operation timing compliance; This represents the standard duration of the i-th operation step. Let S represent the actual duration of the i-th operation step, S represent the number of steps in the operation trajectory that match the operation steps, and n represent the total number of operation steps. The total number of operation steps can be set by those skilled in the art or by the instructor according to different training content, i = 1, 2, 3, ..., n. An example of the number of steps in the operation trajectory that match the operation steps is: if the operation steps are step A, step B, and step C in sequence, and the corresponding step order in the operation trajectory is step A, step C, and step B in sequence, then the number of steps in the operation trajectory that match the operation steps is one step A, i.e., S = 1.

[0070] The operational accuracy is expressed by the formula:

[0071] Q2 represents operational accuracy; This represents the measured voltage value at the j-th test point of the manipulated object. This represents the standard voltage value at the j-th test point of the object being operated on; This represents the measured current value at the j-th test point of the manipulated object. The j-th test point of the object being operated on represents the standard current value; m represents the total number of test points of the object being operated on; j = 1, 2, 3, ..., m;

[0072] The operational standardization is expressed by the formula:

[0073] Q3 represents the degree of operational standardization; This represents the actual value of the r-th parameter among the other parameters. This represents the standard value of the r-th parameter among the other parameters, where R represents the total number of parameters included in the other parameters; r = 1, 2, 3, ..., R;

[0074] When other parameters are the angles of the robotic arm's joints, different weight values ​​can be assigned to the joint angle differences based on the joint properties. In this case, the number of joints is the total number of parameters. For example, when other parameters are the wrist joint, elbow joint, and shoulder joint of the robotic arm, R = 3. The wrist joint can be assigned a weight value of 0.4, the elbow joint can be assigned a weight value of 0.3, and the shoulder joint can be assigned a weight value of 0.3.

[0075] In this embodiment, it should be specifically noted that the training operation quality index is expressed by the formula:

[0076] Q all =α·Q1+β·Q2+γ·Q3; among them, Q all The value represents the quality index of the practical training operation; α represents the proportional coefficient of the operation sequence compliance, β represents the proportional coefficient of the operation accuracy, and γ represents the proportional coefficient of the operation standardization; α, β, and γ all satisfy 0 < α, β, and γ < 1, and α + β + γ = 1; the proportional coefficients can be specifically set by those skilled in the art according to the actual situation, α ∈ [0.5, 0.6], β ∈ [0.27, 0.33], and γ ∈ [0.13, 0.17].

[0077] In this embodiment, it should be specifically noted that the proportional coefficients for setting the operation timing compliance, operation accuracy, and operation standardization can also be obtained using the analytic hierarchy process (AHP), by establishing a target layer, a criterion layer, and a scheme layer. The target layer is the training operation quality index, the criterion layer is the operation timing compliance, operation accuracy, and operation standardization, and the scheme layer is the specific evaluation indicators, such as the duration of operation steps, voltage and current value fluctuations, etc.

[0078] In this embodiment, it should be specifically explained that the specific method for responding to operational anomalies is as follows:

[0079] The probability of equipment malfunction during the training process is obtained by acquiring the real-time electrical parameters of each test point of the object operated by the trainee during the operation.

[0080] The probability of operational anomalies is obtained based on other parameters of the object being operated on by the trainee during the operation process;

[0081] Risk coefficients are obtained based on the probability of equipment malfunction and the probability of operational malfunction.

[0082] Abnormal response results are obtained based on the risk coefficient.

[0083] In this embodiment, it should be specifically noted that the probability of device malfunction is expressed by the formula:

[0084] Among them, P elec Indicates the probability of equipment malfunction; I peak Indicates the instantaneous peak current at the test point; I rated The rated current is indicated and can be set by a person skilled in the art based on the training equipment used in the training process; ΔV represents the voltage fluctuation amplitude at the test point; V th This indicates the allowable fluctuation threshold, which can be set according to different training equipment and requirements during the training process; max represents the maximum value.

[0085] The probability of the operation being abnormal is expressed by the formula:

[0086] Among them, P mech Indicates the probability of operational anomalies; This represents the actual value of the r-th parameter among the other parameters; Limit represents the standard value of the r-th parameter among the other parameters; r R represents the safety threshold of the r-th parameter among the other parameters; R represents the total number of parameters included in the other parameters; r = 1, 2, 3, ..., R;

[0087] The risk coefficient is expressed by the formula:

[0088] Where Risk represents the risk factor; and These are the corresponding proportionality coefficients. and All satisfy the condition of being greater than 0 and less than 1. This embodiment selects

[0089] In this embodiment, it should be specifically explained that the abnormal response result obtained based on the risk coefficient is as follows:

[0090] Where Result indicates the result of an abnormal response, "3" indicates an emergency warning, "2" indicates a strong warning, and "1" indicates a weak warning; Long t This indicates the duration of the anomaly, which can be understood as the duration when Risk ≥ 0.95;

[0091] When the abnormal response result is an emergency warning, it indicates that the risk factor is too high and an emergency shutdown is required; otherwise, a safety accident may occur. When the abnormal response result is a strong reminder, it indicates that the risk factor is relatively high and the operation during the training process needs to be checked in time to see if there are any violations or other behaviors. Otherwise, it may lead to equipment failure or further safety accidents. When the abnormal response result is a weak reminder, it indicates that there is a risk factor, but the risk factor is not high. It is necessary to correct any non-standard operating behaviors during the training process to reduce the risk factor.

[0092] In this embodiment, it should be specifically explained that the specific method for evaluating the trainees' practical training results is as follows:

[0093] Training reward points are obtained based on the quality index of the trainees' training operations, and training penalty points are obtained based on the results of abnormal responses. The training operation results of the trainees are evaluated based on the training reward points and training penalty points to obtain the final training evaluation score.

[0094] The training reward points are obtained in the following way:

[0095] The teaching end sets multiple training operation quality index intervals according to the actual training content, and assigns corresponding scores to different operation quality index intervals, with a maximum score of 10 points. Based on the trainee's training operation quality index, the interval corresponding to the operation quality index is determined, and the score of the interval corresponding to the operation quality index is obtained, which is the training reward score.

[0096] The training penalty score is the same as the value corresponding to the abnormal response result. If the abnormal response result is "3", the penalty score is 3; if the abnormal response result is "2", the penalty score is 2; if the abnormal response result is "1", the penalty score is 1.

[0097] The final practical training evaluation is calculated by subtracting the practical training penalty points from the practical training reward points, and the final practical training evaluation score is used as the evaluation result.

[0098] In this embodiment, it should be specifically explained that the teaching terminal, after receiving feedback information, provides teaching guidance and transmits the data to the operation terminal as follows:

[0099] The feedback information includes abnormal response results and training evaluation scores. The teaching terminal transmits corresponding teaching guidance information to the operating terminal based on different abnormal response results. For example, when the teaching terminal receives an abnormal response result of an emergency warning, it can transmit emergency shutdown teaching guidance information to the operating terminal, allowing the trainee to perform an emergency shutdown operation on the training equipment. When the teaching terminal receives an abnormal response result of a strong reminder, it can view the trainee's operation during the training process and transmit teaching guidance information related to violations, including pointing out specific violations and correct operating procedures. When the teaching terminal receives an abnormal response result of a weak reminder, it can send a prompt indicating non-standard operating behavior to the operating terminal, allowing the trainee to self-correct. Alternatively, the teaching terminal can view the trainee's operation during the training process and transmit teaching guidance information related to non-standard operating behavior, including pointing out and correcting non-standard operating behaviors.

[0100] In this embodiment, it should be specifically explained that the teaching outcome evaluation module evaluates the teaching outcome in the following way:

[0101] The training evaluation scores of trainees in each round of training are subtracted. Specifically, the difference is obtained by subtracting the training evaluation score of the previous round from the current round's score. The difference values ​​are arranged sequentially to form a set of training difference values ​​for trainees. If the set of difference values ​​consists entirely of positive values, it is marked as "Effective Teaching". If the set of difference values ​​consists entirely of negative values, it is marked as "Ineffective Teaching". If the set of difference values ​​contains both positive and negative values, it is marked as "Teaching Needs Improvement". The number of "Effective Teaching", "Ineffective Teaching", and "Teaching Needs Improvement" labels is counted to obtain their respective percentages. If the percentage of "Effective Teaching" exceeds 95% (inclusive) and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as excellent. If the percentage of "Effective Teaching" exceeds 50% (inclusive) but is less than 95% and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as good. If the percentage of "Effective Teaching" is less than 50% and the percentage of "Ineffective Teaching" is greater than or equal to 5%, the teaching result can be evaluated as unsatisfactory.

[0102] The specific steps for adaptively adjusting the difficulty of practical training based on the teaching results of each trainee are as follows:

[0103] If marked as "Teaching Effective", the difficulty of the training can be appropriately increased in the next training session to improve training efficiency. If marked as "Teaching Ineffective", the difficulty of the training can be appropriately reduced to increase trainees' learning interest and efficiency. If marked as "Teaching Needs Improvement", the training level can be appropriately reduced or the current difficulty can be maintained.

[0104] In this embodiment, it should be specifically noted that the teaching terminal can improve the teaching method based on the evaluated teaching results to achieve better teaching results.

[0105] like Figure 3 As shown, the present invention provides a smart training method, comprising the following steps:

[0106] Step 1: The instructor logs in and publishes instruction information;

[0107] Step 2: Trainees log in, receive instruction and guidance information, and conduct practical training;

[0108] Step 3: Collect the operational data during the practical training process and perform preprocessing operations;

[0109] Step 4: Analyze the operation data to obtain the trainee's operation quality index, and at the same time, respond to operation anomalies and evaluate the trainee's operation results.

[0110] Step 5: Receive the operation anomaly response results and evaluation results from the operation data analysis module, and generate corresponding feedback information;

[0111] Step 6: After receiving the feedback information, the logged-in instructor will provide teaching guidance and transmit the data to the trainee. After receiving the teaching guidance, the trainee will begin a new round of training.

[0112] Step 7: Evaluate the teaching results and provide feedback to the instructors. At the same time, adjust the difficulty of the training according to the teaching results of each trainee.

[0113] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0114] 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 smart practical training and teaching system, characterized in that: This includes the teaching terminal, the operation terminal, and the practical training terminal; The teaching terminal is used by instructors to log in, publish teaching guidance information, and receive feedback information from the training terminal. The terminal is used by trainees to log in, receive teaching and guidance information, and conduct practical training. The training terminal is used to build a virtual training environment, collect and analyze the operation data during the training process, generate feedback information and send it to the teaching terminal, and then evaluate the teaching effect.

2. The intelligent training and teaching system according to claim 1, characterized in that: The training terminal includes a data acquisition module, an operation data analysis module, an adaptive feedback module, and a teaching effectiveness evaluation module.

3. The intelligent training and teaching system according to claim 2, characterized in that: The data acquisition module is used to collect operational data during the training process and perform preprocessing operations. The operation data analysis module is used to analyze operation data, obtain the training operation quality index of trainees, respond to operation anomalies, evaluate the training operation results of trainees, and transmit the operation anomaly response results and evaluation results to the adaptive feedback module. The adaptive feedback module is used to receive the operation anomaly response results and evaluation results from the operation data analysis module, and form corresponding feedback information to be fed back to the teaching terminal. After receiving the feedback information, the teaching terminal provides teaching guidance and transmits the data to the operation terminal. After receiving the teaching guidance on the operation terminal, the trainees begin a new round of training. The teaching outcome evaluation module is used to evaluate the teaching results, feed the evaluation results back to the teaching end, and adaptively adjust the training difficulty based on the teaching results of each trainee.

4. The intelligent training and teaching system according to claim 3, characterized in that: The specific method for obtaining the trainees' practical training operation quality index is as follows: Set a standard duration for each operation step in the training process, obtain the actual duration of each operation step performed by the trainee, and combine it with the operation trajectory to obtain the operation sequence compliance. The operational accuracy is obtained based on the real-time electrical parameters of each test point of the object operated by the trainee during the operation process and the standard electrical parameters of each test point. The degree of operational standardization is obtained based on other parameters of the object operated by the trainee during the operation process; By setting proportional coefficients for operation sequence compliance, operation accuracy, and operation standardization, a comprehensive analysis is conducted to obtain the training operation quality index.

5. The intelligent training and teaching system according to claim 4, characterized in that: The specific method for responding to operational anomalies is as follows: The probability of equipment malfunction during the training process is obtained by acquiring the real-time electrical parameters of each test point of the object operated by the trainee during the operation. The probability of operational anomalies is obtained based on other parameters of the object being operated on by the trainee during the operation process; Risk coefficients are obtained based on the probability of equipment malfunction and the probability of operational malfunction. Abnormal response results are obtained based on the risk coefficient.

6. The intelligent training and teaching system according to claim 5, characterized in that: The risk coefficient is expressed by the formula: Where Risk represents the risk coefficient; P elec P represents the probability of equipment malfunction; mech Indicates the probability of operational anomalies; and These are the corresponding proportionality coefficients. and All satisfy the condition of being greater than 0 and less than 1.

7. The intelligent training and teaching system according to claim 6, characterized in that: The specific details of obtaining the abnormal response result based on the risk coefficient are as follows: Where Result represents the abnormal response result, "3" indicates an emergency warning, "2" indicates a strong warning, and "1" indicates a weak warning; Long t This indicates the duration of the anomaly, which can be understood as the duration when Risk ≥ 0.

95.

8. The intelligent training and teaching system according to claim 7, characterized in that: The specific method for evaluating the practical training results of trainees is as follows: Training reward points are obtained based on the quality index of the trainees' training operations, and training penalty points are obtained based on the results of abnormal responses. The training operation results of the trainees are evaluated based on the training reward points and training penalty points to obtain the final training evaluation score. The training reward points are obtained in the following way: The teaching end sets multiple training operation quality index intervals according to the actual training content, and assigns corresponding scores to different operation quality index intervals, with a maximum score of 10 points. Based on the trainee's training operation quality index, the interval corresponding to the operation quality index is determined, and the score of the interval corresponding to the operation quality index is obtained, which is the training reward score. The training penalty score is the same as the value corresponding to the abnormal response result. If the abnormal response result is "3", the penalty score is 3; if the abnormal response result is "2", the penalty score is 2; if the abnormal response result is "1", the penalty score is 1. The final practical training evaluation is calculated by subtracting the practical training penalty points from the practical training reward points, and the final practical training evaluation score is used as the evaluation result.

9. The intelligent training and teaching system according to claim 8, characterized in that: The teaching outcome evaluation module evaluates teaching outcomes in the following specific ways: The training evaluation scores of trainees in each round of training are subtracted. Specifically, the difference is calculated by subtracting the difference from the previous round's training evaluation score. These differences are then arranged sequentially to form a set of trainee training difference scores. If the set of difference scores consists entirely of positive values, it is marked as "Effective Teaching". If the set of difference scores consists entirely of negative values, it is marked as "Ineffective Teaching". If the set of difference scores contains both positive and negative values, it is marked as "Teaching Needs Improvement". The number of "Effective Teaching", "Ineffective Teaching", and "Teaching Needs Improvement" labels is counted to obtain their respective percentages. If the percentage of "Effective Teaching" is greater than or equal to 95% and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as excellent. If the percentage of "Effective Teaching" is greater than or equal to 50% but less than 95% and the percentage of "Ineffective Teaching" is less than or equal to 5%, the teaching result can be evaluated as good. If the percentage of "Effective Teaching" is less than 50% and the percentage of "Ineffective Teaching" is greater than or equal to 5%, the teaching result can be evaluated as unsatisfactory.

10. A smart training method, applied to a smart training and teaching system according to any one of claims 1-9, characterized in that: Includes the following steps: Step 1: The instructor logs in and publishes instruction information; Step 2: Trainees log in, receive instruction and guidance information, and conduct practical training; Step 3: Collect the operational data during the practical training process and perform preprocessing operations; Step 4: Analyze the operation data to obtain the trainee's operation quality index, and at the same time, respond to operation anomalies and evaluate the trainee's operation results. Step 5: Receive the operation anomaly response results and evaluation results from the operation data analysis module, and generate corresponding feedback information; Step 6: After receiving the feedback information, the logged-in instructor will provide teaching guidance and transmit the data to the trainee. After receiving the teaching guidance, the trainee will begin a new round of training. Step 7: Evaluate the teaching results and provide feedback to the instructors. At the same time, adjust the difficulty of the training according to the teaching results of each trainee.

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