Artificial intelligence-based training simulation platform and method
By using an AI-based training simulation platform, servo motor-driven monitoring and wire clamping components are used for comprehensive monitoring. Combined with real-time analysis and feedback, this solves the problems of inadequate monitoring and easy wire detachment in existing technologies, reduces labor costs, and improves training effectiveness and analysis accuracy.
Patent Information
- Application Number
- CN202511175910.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-21
- Publication Date
- 2025-10-17
AI Technical Summary
Existing training simulation platforms suffer from problems such as inadequate monitoring of trainees' movements, easy disconnection of wiring connections, poor training results, and the need for manual analysis leading to high costs and errors in judgment.
An AI-based training simulation platform is used to perform all-around monitoring through servo motor-driven monitoring and pressure wire components. AI is used for real-time analysis and feedback, and training optimization is carried out in conjunction with data collection, analysis and evaluation modules.
It enables comprehensive monitoring of trainees' movements, prevents wires from detaching, reduces labor costs, and improves training effectiveness and analysis accuracy.
Smart Images
Figure CN120808652A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of artificial intelligence, in particular to a training simulation platform and method based on artificial intelligence. BACKGROUND
[0002] The training simulation platform is a comprehensive training system, which aims to train students in targeted skills, emergency drills and tactical use through simulation of real or virtual environments, scenarios and tasks. Its advantage lies in providing highly realistic simulation environments and events, enabling trainees to train in an environment close to reality, thereby improving training effectiveness and the ability to respond to emergencies. Artificial intelligence refers to the intelligence exhibited by systems created by humans. It involves computer science, psychology, philosophy and other disciplines, aiming to enable machines to perform complex tasks that typically require human intelligence. The training simulation platform based on artificial intelligence is a comprehensive platform integrating data preprocessing, model training, model evaluation and model services. It provides real-time data analysis and feedback to users through artificial intelligence, monitors and analyzes the performance of trainees in simulation training in real time, reduces manual intervention and reduces costs. Existing training simulation platforms and methods basically meet user needs, but still have some shortcomings. First, the existing training simulation platform can only evaluate and analyze performance in training simulation, and does not monitor trainee actions, which can affect the analysis results. Second, the existing training simulation platform is often connected by screws or plugs, which can fall off and affect the simulation training. Third, the existing training simulation method cannot adjust in real time according to the training effect during the training process of the trainee, resulting in poor training effect of the trainee. Fourth, the existing training simulation platform requires manual analysis of training data after the training of the trainee is completed, which increases labor costs and may result in incorrect analysis. Therefore, it is necessary to design a training simulation platform and method based on artificial intelligence. SUMMARY
[0003] The present application relates to the technical field of artificial intelligence, in particular to a training simulation platform and method based on artificial intelligence.
[0004] To achieve the above object, the present application provides the following technical scheme: a training simulation platform based on artificial intelligence, comprising a base plate, a monitoring assembly and a wire pressing assembly, a rotating plate in the monitoring assembly is rotatably connected in a through hole formed in the base plate, the rotating plate is rotatably connected to a platform, a connecting block is fixedly connected to the bottom of the platform, the connecting block is fixedly connected to the inside of the base plate, guide rail cylinders are uniformly arranged on the rotating plate, a support rod is fixedly connected to the output end of the guide rail cylinders, a support sleeve is fixedly connected to the support rod, a monitoring body is fixedly connected to the support sleeve, an operation table is fixedly connected to the base plate, a connecting line is fixedly connected to the interface on one side of the operation table, a support piece and a wire pressing piece in the wire pressing assembly are fixedly connected to the connecting line, the support piece and the wire pressing piece are attached to each other, the wire pressing piece is fixedly connected to the output end of a telescopic cylinder, the telescopic cylinder is fixedly connected to a cylinder fixing frame, and the cylinder fixing frame is fixedly connected to a main support frame.
[0005] As a further technical scheme of the present application, the monitoring assembly is composed of a rotating plate, a guide rail cylinder, a support rod, a support sleeve, a monitoring body, a transmission gear, a driving wheel, a transmission shaft and a servo motor, and the bottom of the rotating plate is fixedly connected with the transmission gear.
[0006] As a further technical scheme of the present application, the driving wheel is meshingly connected to the transmission gear, the driving wheel is fixedly connected to the output end of the servo motor, and the servo motor is fixedly connected to the inside of the base plate.
[0007] As a further technical scheme of the present application, the driving wheel is rotatably connected to the transmission shaft, and the transmission shaft is fixedly connected in a groove formed in the inside of the base plate.
[0008] As a further technical scheme of the present application, the wire pressing assembly is composed of a support piece, a wire pressing piece, a telescopic cylinder, a cylinder fixing frame, a main support frame, a clamping hook, a clamping block, a spring, a positioning telescopic rod and a push rod, and the wire pressing piece is symmetrically provided with a clamping hook on one side.
[0009] As a further technical scheme of the present application, the positioning telescopic rod is fixedly connected in a groove formed in the support piece, the spring is sleeved on the positioning telescopic rod, one end of the positioning telescopic rod is fixedly connected to one side of the clamping block, and the clamping block is clamped in a clamping groove formed on one side of the clamping hook.
[0010] As a further technical scheme of the present application, a support table is arranged on one side of the operation table, and a simulation glasses is fixedly connected to the support table.
[0011] As a further technical scheme of the present application, the groove opened on one side of the operating platform is fixedly connected with a fixed plate, the fixed plate is fixedly connected with a control plate, a center processing module is arranged at the center of the control plate, a data collection module, a data analysis module and a data feedback module are arranged above the center processing module, a segmentation evaluation module and a comprehensive evaluation module are arranged on the side of the center processing module, and a monitoring docking module, an optimization suggestion module and a data backup module are arranged at the bottom of the center processing module.
[0012] As a further technical scheme of the present application, the bottom plate is fixedly connected with a mounting table, the mounting table is fixedly connected with a mounting rack, and the mounting rack is fixedly connected with a display screen.
[0013] A training simulation method based on artificial intelligence includes the following steps: Step one, device detection; Step two, demand analysis confirmation; Step three, plan development and environment simulation; Step four, simulation training and training monitoring; Step five, real-time analysis and feedback; Step six, summary reflection and optimization. In step one, the training simulation device is detected to ensure its normal operation and use. In step two, the training target and demand of the trainee are analyzed to determine the training target and focus range. In step three, the training plan and training course are developed according to the trainee's demand, the training content, teaching method and learning resources are determined, and the simulation environment and situation are designed using artificial intelligence. In step four, the trainee practices and exercises through the simulation device according to the designed training plan and course arrangement, and professional personnel guide and coach the trainee when the trainee performs simulation training for the first time to ensure that the trainee can normally perform simulation training; the center processing module is controlled by the artificial intelligence control center, and the center processing module controls the monitoring docking module to monitor the trainee's body movements and simulation training process in real time. In step five, the simulation training data are collected and analyzed by the center processing module controlling the data collection module and the data analysis module, and real-time feedback is performed through the data feedback module, so that the trainee can adjust at any time during the training process. In step six, the content of the trainee's simulation training is evaluated in multiple aspects by the segmentation evaluation module, the overall performance is evaluated by the comprehensive evaluation module, and then the simulation training process is reviewed by using the data backed up in the data backup module and the final evaluation data, the successful experience and shortcomings are summarized, and reasonable optimization and improvement directions are given through the optimization suggestion module.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the training simulation platform and method based on artificial intelligence, by starting the servo motor to drive the active wheel to rotate, the rotation of the active wheel drives the transmission gear to rotate, and then drives the rotating plate to rotate between the base plate and the platform, the rotation of the rotating plate drives the guide rail cylinder to rotate synchronously, the rotation of the guide rail cylinder drives the monitoring body to rotate, and the movements of the trainees standing on the platform are monitored without blind spots. At the same time, according to the trainees of different heights, the support rod and the support sleeve are driven to move by the guide rail cylinder, and then the monitoring body is driven to move, so that the height can be adjusted arbitrarily, thereby improving the practicality of the training simulation platform; first, the wire pressing assembly is sleeved on the connecting line, and after the connecting line is fixed, the wire pressing assembly is synchronously fixed, and the position of the connecting line is adjusted so that the line fits on the groove opened on the support member, and then the telescopic cylinder is extended to push the wire pressing member downward, and the groove opened on the wire pressing member fits with the line and fits with the support member. At the same time, the hook set on one side of the wire pressing member is pressed down synchronously, and the slot opened on the hook slides on the inclined surface of the card block, and the card block squeezes the spring and positions the telescopic rod , after being pressed into place, the elastic force of the spring is released, so that the card block is connected to the card slot opened by the hook, completing the fixation of the connecting line. It is convenient to use and effectively prevents the line from falling off, so as not to affect the normal progress of the simulation training. When it needs to be removed, the push rod is pushed to drive the card block to move, and the spring and positioning telescopic rod are compressed again. Then the telescopic cylinder retracts to drive the hook and the wire pressing part to rise; artificial intelligence is used to monitor the training process in real time, and the trainee's body movements and simulation training content are docked through the monitoring docking module, and then the data feedback module is used to provide real-time feedback, so that the trainee can adjust and improve according to the feedback, thereby improving the effect of simulation training; the training process is monitored by artificial intelligence, and after the simulation training, the trainee's performance is evaluated through the segmentation evaluation module, and the trainee's overall performance is evaluated through the comprehensive evaluation module, and then reasonable optimization and improvement suggestions are given, and feedback is displayed through the optimization suggestion module. There is no need for manual data analysis, which reduces labor costs and avoids misjudgment or abnormalities in data analysis. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a three-dimensional diagram of the overall structure of the present invention; Figure 2 Schematic diagram of the structure of the transmission shaft in the present invention; Figure 3 Schematic diagram of the internal structure of the support sleeve in the present invention; Figure 4 Schematic diagram of the structure of the medium voltage line assembly of the present invention; Figure 5 Schematic diagram of the internal structure of the medium voltage line assembly of the present invention; Figure 6 for Figure 5 Schematic diagram of the structure of area B in the middle; Figure 7 Schematic diagram of the position structure of the fixing plate in the present invention; Figure 8 Schematic diagram of the structure of the control board in the present invention; Figure 9 Flow chart of the method of the present invention.
[0016] In the figure: 1. Base plate; 2. Monitoring component; 3. Operating table; 4. Connecting wire; 5. Wire pressing assembly; 6. Support table; 7. Simulation glasses; 8. Mounting table; 9. Mounting frame; 10. Display screen; 11. Fixing plate; 12. Control panel; 13. Platform; 14. Connecting block; 21. Rotating plate; 22. Guide cylinder; 23. Support rod; 24. Support sleeve; 25. Monitoring body; 26. Transmission gear; 27. Driving wheel; 28. Transmission shaft; 29. Servo motor; 51. Support Components; 52. Wire-pressing components; 53. Telescopic cylinder; 54. Cylinder fixing frame; 55. Main support frame; 56. Hook; 57. Block; 58. Spring; 59. Positioning telescopic rod; 60. Push rod; 121. Central processing module; 122. Data collection module; 123. Data analysis module; 124. Data feedback module; 125. Segmentation evaluation module; 126. Comprehensive evaluation module; 127. Monitoring and docking module; 128. Optimization suggestion module; 129. Data backup module. DETAILED DESCRIPTION
[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.
[0018] Please see the attached Figure 1 -Attached Figure 8The application provides an embodiment: a training simulation platform based on artificial intelligence, which comprises a bottom plate 1, a monitoring assembly 2 and a wire pressing assembly 5, a rotating plate 21 in the monitoring assembly 2 is rotatably connected in a through hole formed in the bottom plate 1, the rotating plate 21 is rotatably connected to a station 13, the bottom of the station 13 is fixedly connected with a connecting block 14, the connecting block 14 is fixedly connected to the inside of the bottom plate 1, guide rail cylinders 22 are uniformly arranged on the rotating plate 21, a support rod 23 is fixedly connected to one side of the output end of the guide rail cylinder 22, a support sleeve 24 is fixedly connected to the support rod 23, a monitoring body 25 is fixedly connected to the support sleeve 24, an operating table 3 is fixedly connected to the bottom plate 1, a connecting line 4 is fixedly connected to one side of the interface of the operating table 3, a support piece 51 and a wire pressing piece 52 in the wire pressing assembly 5 are fixedly connected to the connecting line 4, the support piece 51 and the wire pressing piece 52 are in close contact with each other, the wire pressing piece 52 is fixedly connected to the output end of a telescopic cylinder 53, the telescopic cylinder 53 is fixedly connected to a cylinder fixing frame 54, the cylinder fixing frame 54 is fixedly connected to a main support frame 55, the monitoring assembly 2 comprises the rotating plate 21, the guide rail cylinders 22, the support rod 23, the support sleeve 24, the monitoring body 25, a transmission gear 26, a driving wheel 27, a transmission shaft 28 and a servo motor 29, the bottom of the rotating plate 21 is fixedly connected with the transmission gear 26, the transmission gear 26 is in meshing connection with the driving wheel 27, the driving wheel 27 is fixedly connected to the output end of the servo motor 29, the servo motor 29 is fixedly connected to the inside of the bottom plate 1, the driving wheel 27 is rotatably connected to the transmission shaft 28, the transmission shaft 28 is fixedly connected to a groove formed in the inside of the bottom plate 1, the wire pressing assembly 5 comprises the support piece 51, the wire pressing piece 52, the telescopic cylinder 53, the cylinder fixing frame 54, the main support frame 55, a clamping hook 56, a clamping block 57, a spring 58, a positioning telescopic rod 59 and a push rod 60, the wire pressing piece 52 is symmetrically provided with the clamping hook 56 on one side, the positioning telescopic rod 59 is fixedly connected in a groove formed in the support piece 51, the spring 58 is sleeved on the positioning telescopic rod 59, and one end of the positioning telescopic rod 59 is fixedly connected to one side of the clamping block 57, the clamping block 57 is clamped on a clamping groove formed on one side of the clamping hook 56, one side of the operating table 3 is provided with a support table 6, the support table 6 is fixedly connected with simulation glasses 7, a fixed plate 11 is fixedly connected in a groove formed in one side of the operating table 3, the fixed plate 11 is fixedly connected with a control plate 12, a center processing module 121 is arranged at the center of the control plate 12, a data collection module 122, a data analysis module 123 and a data feedback module 124 are arranged above the center processing module 121, a segmentation evaluation module 125 and a comprehensive evaluation module 126 are arranged on the side of the center processing module 121, a monitoring docking module 127, an optimization suggestion module 128 and a data backup module 129 are arranged at the bottom of the center processing module 121, a mounting table 8 is fixedly connected to the bottom plate 1, a mounting frame 9 is fixedly connected to the mounting table 8, and a display screen 10 is fixedly connected to the mounting frame 9.
[0019] Please refer to the drawingsFigure 9 The present invention provides an embodiment of an artificial intelligence-based training simulation method, comprising the following steps: step 1, equipment detection; step 2, demand analysis and confirmation; step 3, plan formulation and environment simulation; step 4, simulation training and training monitoring; step 5, real-time analysis and feedback; step 6, summary, reflection and optimization; In the above step 1, the training simulation equipment is tested to ensure that it can operate normally and be used; In the above step 2, the training objectives and needs of the trainees are analyzed to determine the training objectives and key areas; In step 3 above, training plans and courses are developed based on the needs of trainees, training content, teaching methods and learning resources are determined, and artificial intelligence is used to design simulation environments and scenarios; In the above step 4, according to the designed training plan and course schedule, the trainees are allowed to practice and exercise through the simulation equipment. When the trainees conduct the simulation training for the first time, professional personnel are required to provide guidance and coaching to ensure that the trainees can conduct the simulation training normally. The central processing module 121 is controlled by artificial intelligence, and the central processing module 121 controls the monitoring docking module 127 to monitor the trainees' body movements and the simulation training process in real time. In the above step 5, the central processing module 121 controls the data collection module 122 and the data analysis module 123 to collect and analyze the simulation training data, and provides real-time feedback through the data feedback module 124, so that the trainees can make adjustments at any time during the training process; In the above step six, the content of the trainee's simulation training is evaluated in multiple aspects through the segmentation evaluation module 125, and the overall performance is evaluated using the comprehensive evaluation module 126. Then, the simulation training process is reviewed through the data backed up in the data backup module 129 and the final evaluation data, and the successful experiences and shortcomings are summarized. Then, reasonable optimization and improvement directions are given through the optimization suggestion module 128.
[0020] Working principle: in use, the servo motor 29 is started to drive the driving wheel 27 to rotate, the driving wheel 27 drives the transmission gear 26 to rotate, and then drives the rotating plate 21 to rotate between the bottom plate 1 and the platform 13, the rotating plate 21 drives the guide rail cylinder 22 to rotate synchronously, the guide rail cylinder 22 drives the monitoring body 25 to rotate, and the actions of the trainee standing on the platform 13 are monitored without dead angle, at the same time, the support rod 23 and the support sleeve 24 are moved by the guide rail cylinder 22 according to different heights of the trainee, and then the monitoring body 25 is moved, so that the height can be adjusted arbitrarily, and the practicability of the training simulation platform is improved; first, the line pressing assembly 5 is sleeved on the connecting line 4, the connecting line 4 is fixed, and then the line pressing assembly 5 is fixed synchronously, the position of the connecting line 4 is adjusted, the line is attached to the groove opened in the supporting piece 51, then the telescopic cylinder 53 is extended, the line pressing piece 52 is pushed down, the groove opened in the line pressing piece 52 is attached to the line and the supporting piece 51, at the same time, the clamping hook 56 provided on one side of the line pressing piece 52 is synchronously pressed down, the clamping groove opened in the clamping hook 56 slides on the inclined surface of the clamping block 57, the clamping block 57 extrudes the spring 58 and the positioning telescopic rod 59, after being pressed down to the position, the elastic force of the spring 58 is released, the clamping block 57 is clamped in the clamping groove opened in the clamping hook 56, the fixing of the connecting line 4 is completed, the line is prevented from falling off effectively, the normal simulation training is avoided from being affected, when it is needed to be removed, the push rod 60 is pushed to drive the clamping block 57 to move, the spring 58 and the positioning telescopic rod 59 are compressed again, then the telescopic cylinder 53 is retracted to drive the clamping hook 56 and the line pressing piece 52 to rise; the training process is monitored in real time by artificial intelligence, the body actions of the trainee and the simulation training content are connected by the monitoring docking module 127, then the data feedback module 124 is used for real-time feedback, so that the trainee can adjust and improve according to the feedback, and the simulation training effect is improved; the training process is monitored by artificial intelligence, the performances of the trainee are evaluated by the segmentation evaluation module 125 after the simulation training is completed, the overall performance of the trainee is evaluated by the comprehensive evaluation module 126, then reasonable optimization and improvement suggestions are given, and the optimization suggestion module 128 is used for feedback display, so that manual data analysis is not needed, manual cost is reduced, and the situation that the data analysis is wrong or abnormal is avoided.
[0021] It is apparent for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, but can be implemented in other concrete forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered in all aspects as exemplary and non-restrictive, and the scope of the present application is defined by the appended claims rather than the above description, and all changes falling within the meaning and range of equivalent elements of the claims are intended to be embraced in the present application. Any reference signs in the claims should not be considered as limiting the claims involved.
Claims
1. A training simulation platform based on artificial intelligence, comprising a base plate (1), a monitoring component (2) and a wire pressing component (5), characterized in that: The through hole opened on the bottom plate (1) is rotatably connected to a rotating plate (21) in the monitoring component (2), the rotating plate (21) is rotatably connected to the platform (13), the bottom of the platform (13) is fixedly connected to a connecting block (14), the connecting block (14) is fixedly connected to the inside of the bottom plate (1), and the rotating plate (21) is evenly provided with guide rail cylinders (22), one side of the output end of the guide rail cylinder (22) is fixedly connected to a support rod (23), the support rod (23) is fixedly connected to a support sleeve (24), and the support sleeve (24) is fixedly connected to A monitoring body (25) is provided, an operating table (3) is fixedly connected to the bottom plate (1), a connecting line (4) is fixedly connected to an interface on one side of the operating table (3), a supporting member (51) and a pressing member (52) in a pressing assembly (5) are fixedly connected to the connecting line (4), the supporting member (51) and the pressing member (52) are fitted together, the pressing member (52) is fixedly connected to the output end of the telescopic cylinder (53), the telescopic cylinder (53) is fixedly connected to the cylinder fixing frame (54), and the cylinder fixing frame (54) is fixedly connected to the main supporting frame (55).
2. The artificial intelligence-based training simulation platform according to claim 1, characterized in that: The monitoring assembly (2) is composed of a rotating plate (21), a guide cylinder (22), a support rod (23), a support sleeve (24), a monitoring body (25), a transmission gear (26), a driving wheel (27), a transmission shaft (28) and a servo motor (29), and the bottom of the rotating plate (21) is fixedly connected to the transmission gear (26).
3. The artificial intelligence-based training simulation platform according to claim 2, characterized in that: The transmission gear (26) is meshedly connected with a driving wheel (27), and the driving wheel (27) is fixedly connected to the output end of the servo motor (29), and the servo motor (29) is fixedly connected to the inside of the base plate (1).
4. The artificial intelligence-based training simulation platform according to claim 3, characterized in that: The driving wheel (27) is rotatably connected to the transmission shaft (28), and the transmission shaft (28) is fixedly connected to a slot opened inside the base plate (1).
5. The artificial intelligence-based training simulation platform according to claim 1, characterized in that: The wire pressing assembly (5) is composed of a support member (51), a wire pressing member (52), a telescopic cylinder (53), a cylinder fixing frame (54), a main support frame (55), a hook (56), a block (57), a spring (58), a positioning telescopic rod (59) and a push rod (60), and a hook (56) is symmetrically provided on one side of the wire pressing member (52).
6. The artificial intelligence-based training simulation platform according to claim 5, characterized in that: A positioning telescopic rod (59) is fixedly connected to the slot opened in the support member (51), a spring (58) is sleeved on the positioning telescopic rod (59), and one end of the positioning telescopic rod (59) is fixedly connected to one side of the clamping block (57), and the clamping block (57) is clamped to the clamping slot opened on one side of the clamping hook (56).
7. The artificial intelligence-based training simulation platform according to claim 1, characterized in that: A support platform (6) is provided on one side of the operating table (3), and simulation glasses (7) are fixedly connected to the support platform (6).
8. The artificial intelligence-based training simulation platform according to claim 7, characterized in that: A fixed plate (11) is fixedly connected to a slot opened on one side of the operating table (3), a control plate (12) is fixedly connected to the fixed plate (11), a central processing module (121) is provided at the center of the control plate (12), a data collection module (122), a data analysis module (123) and a data feedback module (124) are provided above the central processing module (121), a segmentation evaluation module (125) and a comprehensive evaluation module (126) are provided on the side of the central processing module (121), and a monitoring docking module (127), an optimization suggestion module (128) and a data backup module (129) are provided at the bottom of the central processing module (121).
9. The artificial intelligence-based training simulation platform according to claim 4, characterized in that: The base plate (1) is fixedly connected to a mounting platform (8), the mounting platform (8) is fixedly connected to a mounting frame (9), and the mounting frame (9) is fixedly connected to a display screen (10).
10. A training simulation method based on artificial intelligence, comprising the following steps: Step 1: Equipment testing; Step 2: Demand analysis and confirmation; Step 3: Plan formulation and environment simulation; Step 4: Simulation training and training monitoring; Step 5: Real-time analysis and feedback; Step 6: Summary, reflection and optimization; Features: In the above step 1, the training simulation equipment is tested to ensure that it can operate normally and be used; In the above step 2, the training objectives and needs of the trainees are analyzed to determine the training objectives and key areas; In step 3 above, training plans and courses are developed based on the needs of trainees, training content, teaching methods and learning resources are determined, and artificial intelligence is used to design simulation environments and scenarios; In the above step 4, according to the designed training plan and course arrangement, the trainees are allowed to practice and exercise through the simulation equipment. When the trainees conduct the simulation training for the first time, they need professional guidance and guidance to ensure that the trainees can conduct the simulation training normally. Through the artificial intelligence control center processing module (121), the center processing module (121) controls the monitoring docking module (127) to monitor the trainees' body movements and the simulation training process in real time; In the above step 5, the central processing module (121) controls the data collection module (122) and the data analysis module (123) to collect and analyze the simulation training data, and provides real-time feedback through the data feedback module (124), so that the trainees can make adjustments at any time during the training process; In the above step six, the content of the trainee's simulation training is evaluated in many aspects through the segmentation evaluation module (125), and the overall performance is evaluated using the comprehensive evaluation module (126). Then, the simulation training process is reviewed through the data backed up in the data backup module (129) and the final evaluation data, and the successful experiences and shortcomings are summarized. Then, reasonable optimization and improvement directions are given through the optimization suggestion module (128).