Practical training method based on virtual reality technology

By employing virtual reality technology as a training method, and utilizing virtual scene models and multi-dimensional feedback, the problems of high equipment costs and poor interactivity in traditional training have been solved. This has enabled efficient and highly interactive teaching, supported resource sharing across institutions, and improved teaching quality and efficiency.

CN121330969AInactive Publication Date: 2026-01-13HUNAN VOCATIONAL COLLEGE OF SCI & TECH
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Patent Information

Application Number
CN202511530408.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-24
Publication Date
2026-01-13
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional practical training equipment is expensive, space is limited, and it lacks interactivity and immersion, making it difficult to comprehensively assess students' skill mastery, and the teaching efficiency and effectiveness vary.

Method used

The training method adopts virtual reality technology, simulates operation through virtual training scenario models, acquires user operation data in real time and provides multi-dimensional feedback, supports modular teaching and multi-user collaborative training, and realizes resource reuse by utilizing cloud shared library.

Benefits of technology

It reduced the cost of practical training equipment, broke geographical limitations, improved teaching quality and efficiency, enhanced interactivity and immersion, realized cross-terminal and cross-institutional resource sharing, and optimized resource acquisition and use.

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Abstract

The invention relates to the technical field of virtual reality, and particularly discloses a practical training method based on a virtual reality technology, which comprises the following steps: acquiring professional direction information of a user and storing the professional direction information to a terminal equipment information database; a professional direction is selected based on the database, a corresponding virtual practical training scene model and teaching content are matched, and a scene loading instruction is sent to the virtual reality interaction device; the equipment presents a virtual practical training scene model according to the instruction; the user obtains operation data in real time during operation, analyzes the data in combination with the preset professional practical training evaluation standard, generates real-time feedback and pushes the feedback to the equipment, high-precision operation scenes and high-risk scenes can be reproduced through the virtual practical training scene model without physical equipment investment, the cost of single professional practical training equipment is reduced, meanwhile, the geographical limitation of the scenes is broken, and the practical training efficiency is improved. Remote colleges and universities can access a standardized practical training scene through virtual reality equipment without transporting scarce pathological samples and high-end instruments.
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Description

Technical Field

[0001] This invention relates to the field of virtual reality technology, and in particular to a training method based on virtual reality technology. Background Technology

[0002] Traditional practical training typically relies on physical equipment and environments for real-world applications. For example, medical surgery training requires real surgical instruments and patient models, mechanical maintenance training requires operating real equipment, and chemical experiments require corresponding experimental equipment and protective facilities. While this approach provides an intuitive hands-on experience, it also has many limitations.

[0003] First, the high cost of equipment necessitates significant investment from schools in purchasing and maintaining it, increasing the financial burden on education. Second, the limited availability of space and equipment makes it difficult to meet the practical needs of all students, impacting teaching efficiency. Furthermore, traditional training methods are often one-way instruction, lacking interactivity and immersion, which fails to stimulate students' learning interest and initiative. This results in inconsistent teaching outcomes and a lack of in-depth analysis and multi-dimensional feedback on complex operational processes, making it difficult to comprehensively assess students' skill mastery. Summary of the Invention

[0004] The purpose of this invention is to provide a training method based on virtual reality technology to solve the problems mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A training method based on virtual reality technology includes the following steps:

[0007] Obtain the professional direction information required by the user and store the professional direction information in the terminal device information database;

[0008] Based on the terminal device information database, a professional direction is selected, a matching virtual training scenario model and corresponding teaching content are selected according to the professional direction, and a scene loading command is sent to the virtual reality interactive device worn by the user.

[0009] The virtual reality interactive device displays a virtual training scene model according to the scene loading instruction;

[0010] Virtual training operations are conducted based on virtual training scenario models, and user operation data is acquired in real time during the virtual training operation process.

[0011] Based on preset professional training evaluation standards, the operation data is analyzed, and real-time feedback information is generated and pushed to the virtual reality interactive device worn by the user.

[0012] Furthermore, the professional direction information includes multiple professional training courses, including the pharmacy school training direction and the animation production technology professional training direction.

[0013] Furthermore, the virtual training scenario model is adapted to different scenarios based on professional specialization:

[0014] When the major is the pharmacy training direction, the virtual training scenario model includes virtual drug reagents, virtual dispensing instruments and virtual pathological samples;

[0015] When the major is animation production technology, the virtual training scene model includes virtual 3D modeling tools, virtual animation timeline and virtual special effects compositing panel.

[0016] Furthermore, the teaching content supports modular combination. Based on the custom selection instructions of the teaching content modules, users can select basic operation modules, advanced skill modules, or emergency handling modules, and generate personalized teaching paths according to the combination of selection instructions to meet the needs of users with different learning progress.

[0017] Furthermore, the operation data includes the sequence of operation steps, operation duration, and completion status of key operation nodes;

[0018] After a user completes a single virtual training task, the operation data and real-time feedback records are summarized to generate a training evaluation report that includes operation score, analysis of weak points, and skill mastery rating.

[0019] Based on the training evaluation report, determine whether the user has met the qualification standard for the training task;

[0020] If the qualification standard is not met, a targeted reinforcement training task will be generated, which is based on the operation module corresponding to the user's weak points.

[0021] If the passing standard is met, the next stage of training tasks with increased difficulty will be assigned.

[0022] Furthermore, if user operation data is detected to contain errors that do not conform to standard operating procedures, and these errors are associated with security risks, such as virtual reagent mismatch or unauthorized operation of virtual devices, a virtual risk event simulation is triggered. The virtual consequences of the errors are then presented through the virtual reality interactive device, and risk response guidelines are pushed out.

[0023] Furthermore, the real-time feedback information is pushed through methods including voice guidance, text prompts, and haptic feedback, wherein the haptic feedback is used to simulate the physical interaction feel in professional operations.

[0024] When the major is the pharmacy training direction, tactile feedback simulates the weight of the virtual reagent bottle and the pressure feedback of the pipette operation.

[0025] Furthermore, while acquiring user operation data in real time, the system simultaneously records the user's operation trajectory and interaction frequency. By analyzing the operation trajectory, the system determines the user's proficiency in using key tools and equipment in the virtual training scenario. By analyzing the interaction frequency, the system determines the fluency of the user's operation. The proficiency and fluency data are then incorporated into subsequent evaluation dimensions.

[0026] Furthermore, the virtual training scenario model also includes multi-user collaborative training steps:

[0027] By receiving collaborative training requests from multiple users, a connection channel is established for multi-user virtual training scenarios, enabling multiple users to assume different roles in the same virtual training scenario.

[0028] The different roles include equipment operators and assistant observers in mechanical manufacturing training;

[0029] Pharmacy school training includes roles such as dispensing clerk and checker.

[0030] Based on the interconnected channels of multi-user virtual training scenarios, the system synchronizes the operation data of multiple users in real time, monitors the collaboration and cooperation among users, generates collaboration scores and provides feedback to each user, and also supports teachers to remotely access the scenario and send collaboration guidance instructions.

[0031] Furthermore, the virtual training operation data, evaluation reports, and customized virtual training scenario models completed by users are encrypted and stored in a cloud-based shared library;

[0032] It also receives resource retrieval requests from other users simultaneously, verifies the requesting user's permissions, and allows them to access the corresponding professional training resources in the cloud shared library, realizing the reuse of training resources across terminals and institutions and reducing the cost of acquiring training resources.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0034] 1. This invention uses virtual training scenario models to reproduce high-precision operation scenarios and high-risk scenarios without the need for physical equipment investment, reducing the cost of training equipment for a single major. At the same time, it breaks the geographical limitations of the scenario, allowing remote colleges and universities to access standardized training scenarios through virtual reality equipment without having to transport scarce pathological samples or high-end instruments.

[0035] 2. This method solves the problems of expensive equipment, high risk, and limited scenarios in traditional practical training by using the immersive experience, multi-dimensional data collection, and intelligent feedback of virtual reality technology. It is applicable to professional fields with high requirements for practical skills, such as medicine, animation, and machinery, and can significantly improve the efficiency of practical training and the quality of teaching.

[0036] 3. Training data and scenario models are encrypted and stored in a cloud-based shared library. After authorization, they can be accessed across terminals and institutions, improving the reuse rate of high-quality training resources. In particular, it reduces the cost of acquiring training resources for small and medium-sized institutions and promotes the equalization of educational resources.

[0037] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0038] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0039] Figure 1 This is a flowchart illustrating a training method based on virtual reality technology provided in this application. Detailed Implementation

[0040] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0041] like Figure 1 As shown in the figure, this embodiment provides a training method based on virtual reality technology, which includes the following steps:

[0042] The system acquires the user's desired specialization information and stores it in the terminal device's information database. The user inputs their desired specialization information via the terminal device, such as a pharmacy training specialization or an animation production technology training specialization; this information is then stored in the database. The user selects a specific specialization from the database on the terminal device. Based on the selection, the terminal device matches the corresponding virtual training scene model and teaching content, and sends a scene loading command to the user's virtual reality interactive device. Simultaneously, the user can select basic operation modules, advanced skill modules, or emergency handling modules according to their learning progress through custom selection commands. The terminal device generates a personalized teaching path based on the selected combination.

[0043] Specifically, this implementation receives user-inputted professional direction information through the interactive interface of terminal devices, such as computers and tablets, including but not limited to:

[0044] The user's school, grade, and stage of study, such as first-year basic practical training or third-year professional practical training;

[0045] Major categories include medicine, digital media, and mechanical engineering; sub-fields include clinical drug dispensing in the School of Pharmacy and 3D character modeling in animation production; training objectives include skills assessment.

[0046] The collected information is structured and stored in the classification directory of the terminal device information database, such as by medical and health category, pharmacy, and dispensing operation level. At the same time, it is automatically linked to the historical training data of the professional direction, such as common errors of previous users and average completion time, to provide data support for subsequent scenario matching.

[0047] Based on the terminal device information database, a professional direction is selected. A matching virtual training scenario model and corresponding teaching content are chosen according to the selected professional direction, and a scene loading command is sent to the user's virtual reality interactive device. Upon receiving the scene loading command, the virtual reality interactive device presents the corresponding virtual training scenario model. For example, a scenario for pharmacy majors might include virtual drug reagents, dispensing instruments, and pathological samples, or a scenario for animation production technology majors might include virtual 3D modeling tools, animation timelines, and special effects compositing panels. After entering the virtual scenario, the user performs virtual training operations based on the scenario. The virtual reality interactive device captures the user's operation data in real time, including the order of operation steps, operation duration, and completion status of key operation nodes, while simultaneously recording the operation trajectory and interaction frequency.

[0048] Based on the user's selected professional direction, the terminal device activates the intelligent matching engine:

[0049] The system calls upon a pre-built 3D scene resource library in the database and loads high-precision models based on professional characteristics. For example, the pharmacy training scene includes not only basic virtual reagents, but also labels, concentration parameters, physicochemical property annotations, and dispensing instruments such as pipettes and volumetric flasks, as well as virtual hospital beds and medical record systems that simulate ward environments. The animation production scene integrates virtual sculpting tools, supports pressure-sensitive simulation, a material library containing physical property parameters such as metal and cloth, a rendering engine, and real-time preview of lighting and shadow effects.

[0050] The virtual reality interactive device displays a virtual training scene model according to the scene loading instruction;

[0051] Virtual training operations are conducted based on virtual training scenario models. During the user's virtual training operations, real-time user operation data is acquired. This data is analyzed based on preset professional training evaluation standards, and real-time feedback information is generated and pushed to the virtual reality interactive device through voice guidance, text prompts, and haptic feedback, such as simulating the weight of a reagent bottle or the pressure feedback of a pipette in pharmacy training. If a user's erroneous operation with associated safety risks is detected, such as virtual reagent mismixing or equipment misoperation, a virtual risk event simulation is triggered, presenting the virtual consequences of the erroneous operation and providing risk response guidance.

[0052] Based on preset professional training evaluation standards, the operation data is analyzed, and real-time feedback information is generated and pushed to the virtual reality interactive device worn by the user.

[0053] The professional direction information includes multiple professional training courses, including the pharmacy school training direction and the animation production technology professional training direction.

[0054] The virtual training scenario model is adapted to different scenarios based on professional direction:

[0055] When the major is the pharmacy training direction, the virtual training scenario model includes virtual drug reagents, virtual dispensing instruments and virtual pathological samples;

[0056] When the major is animation production technology, the virtual training scene model includes virtual 3D modeling tools, virtual animation timeline and virtual special effects compositing panel.

[0057] The teaching content supports modular combination. Based on the custom selection instructions for the teaching content modules, users can choose basic operation modules, advanced skill modules, or emergency handling modules. The selected modules can be combined to generate personalized teaching paths that can adapt to the needs of users with different learning progress.

[0058] Specifically, the teaching content combination includes:

[0059] It includes step-by-step instructional animations, such as a seven-step demonstration of aseptic technique in the School of Pharmacy, interactive knowledge point cards, and the user manual can be viewed by clicking on the virtual instrument;

[0060] Set comprehensive tasks, such as "creating a character walking loop animation" in animation production, including time limits, such as completing it within 30 minutes, and quality requirements, such as keyframe error ≤ 0.5 seconds;

[0061] Simulate emergency scenarios, such as handling reagent spills in a pharmacy school or recovering files from software crashes in animation production, requiring users to complete emergency operations within a specified time.

[0062] Furthermore, the terminal device sends encrypted scene loading instructions to the virtual reality interaction device, head-mounted display, and controller via 5G / WiFi. These instructions include the scene ID, initial view position (e.g., the pharmacy scene defaults to standing in front of the control panel), and teaching module activation parameters, ensuring rapid device synchronization with a loading delay of ≤2 seconds.

[0063] Furthermore, after receiving instructions, the virtual reality interactive device uses the following technologies to present the scene:

[0064] Using an 8K resolution head-mounted display, a panoramic display with a 120° field of view is achieved. Virtual objects in the scene have motion effects driven by a physics engine, such as the simulation of liquid flow when a reagent bottle is tilted and the collision feedback of virtual tools.

[0065] By using base station and handheld infrared positioning technology, the user's body movements, such as arm movements and finger pinching, are mapped into the virtual scene in real time to ensure operational accuracy, such as the alignment of the scale when the pipette is drawing liquid.

[0066] It supports automatically adjusting the scale of the virtual scene according to the user's actual space size, such as classrooms or dormitories, to avoid affecting operation due to physical space limitations. For example, the length of the virtual control panel can be adaptively matched to the user's activity range.

[0067] The operation data includes the sequence of operation steps, operation duration, and completion status of key operation nodes.

[0068] After a user completes a single virtual training task, the operation data and real-time feedback records are summarized to generate a training evaluation report that includes operation score, analysis of weak points, and skill mastery rating.

[0069] Based on the training evaluation report, determine whether the user has met the qualification standard for the training task;

[0070] If the qualification standard is not met, a targeted reinforcement training task will be generated, which is based on the operation module corresponding to the user's weak points.

[0071] If the passing standard is met, the next stage of training tasks with increased difficulty will be assigned.

[0072] If a user operation is detected to contain an error that does not conform to the standard operating procedure and the error is associated with a security risk, such as virtual reagent mismixing or unauthorized operation of virtual devices, a virtual risk event simulation is triggered. The virtual consequences of the error are then presented through the virtual reality interactive device, and risk response guidelines are pushed out.

[0073] The real-time feedback information is pushed through voice guidance, text prompts, and tactile feedback, whereby tactile feedback is used to simulate the physical interaction feel in professional operations.

[0074] When the major is the pharmacy training direction, tactile feedback simulates the weight of the virtual reagent bottle and the pressure feedback of the pipette operation.

[0075] When acquiring user operation data in real time, the system simultaneously records the user's operation trajectory and interaction frequency. By analyzing the operation trajectory, the system determines the user's proficiency in using key tools and equipment in the virtual training scenario. By analyzing the interaction frequency, the system determines the fluency of the user's operation. The proficiency and fluency data are then incorporated into subsequent evaluation dimensions.

[0076] The virtual training scenario model also includes multi-user collaborative training steps:

[0077] By receiving collaborative training requests from multiple users, a connection channel is established for multi-user virtual training scenarios, enabling multiple users to assume different roles in the same virtual training scenario.

[0078] The different roles include equipment operators and assistant observers in mechanical manufacturing training;

[0079] Pharmacy school training includes roles such as dispensing clerk and checker.

[0080] Based on the interconnected channels of multi-user virtual training scenarios, the system synchronizes the operation data of multiple users in real time, monitors the collaboration and cooperation among users, generates collaboration scores and provides feedback to each user, and also supports teachers to remotely access the scenario and send collaboration guidance instructions.

[0081] Specifically, during user operation, the system collects data through multi-sensor fusion technology:

[0082] Record the order of operations, such as whether the pharmaceutical school checks the reagent label before weighing when preparing medicines, and the time taken for each step, such as the time taken to adjust keyframes in animation production.

[0083] The quality of key operations, such as whether the pipette accurately aspirates 5ml of liquid and whether the topological structure of the 3D model is reasonable.

[0084] Analyze the stability of operation by examining the motion trajectory of the handle, such as whether there is any unnecessary hand tremor.

[0085] Count the number of times users interact with virtual objects; for example, repeatedly clicking the same tool may indicate operational confusion.

[0086] The headset uses a built-in eye tracker to record the user's focus, such as whether they ignore important safety warning labels.

[0087] All data is uploaded to the terminal device in real time to ensure the timeliness of subsequent analysis.

[0088] Specifically, based on pre-defined assessment criteria, the system is jointly developed by industry experts and education scholars, and undergoes multi-dimensional analysis.

[0089] Voice guidance: Virtual instructors, such as virtual pharmacists in a pharmacy setting, provide operational prompts, such as "Please check the expiration date of the reagents."

[0090] Text prompts: Key operating points are displayed in the corner of the field of vision, such as the pipette should be held vertically;

[0091] Haptic feedback: The handle simulates different tactile sensations through vibration intensity. When grasping a glass reagent bottle, it vibrates slightly to simulate a smooth texture, and when operating metal instruments, the vibration frequency changes to simulate a cool touch.

[0092] When a high-risk error is detected, such as mixing alcohol with a strong oxidizing agent virtual reagent, the system immediately triggers:

[0093] Scene freeze: Pauses the current operation and highlights the error point;

[0094] Consequence simulation: Virtual explosion / corrosion effects are presented through particle effects, without any visual fright elements;

[0095] Step-by-step instructions: Demonstrate the correct emergency response procedures, such as immediately closing the fume hood, wearing protective gloves, and using neutralizing reagents. Users must complete the operations according to the instructions before continuing the training.

[0096] Furthermore, after each training session, a multi-dimensional report is generated:

[0097] Quantitative scoring: a weighted score of operational standardization (60%), efficiency (20%), and safety awareness (20%);

[0098] Weaknesses: Heatmaps are used to show frequently erroneous operational steps (such as the 80% error rate in the skeleton rigging process during animation production);

[0099] Improvement suggestions: Targeted practice is recommended (e.g., complete the basic skeletal structure micro-lesson before proceeding with practical exercises).

[0100] Users who do not meet the standards: A reinforcement training package will be generated (e.g., users in the School of Pharmacy who have exceeded the standards for dispensing errors need to complete 10 sets of precision weighing exercises).

[0101] Qualified users: Unlock advanced scenarios, such as upgrading from single-person medication preparation to emergency team medication preparation drills.

[0102] In this embodiment, multi-user collaborative training is supported. By receiving collaborative requests, a connection channel is established, allowing multiple users to assume different roles in the same virtual scenario, such as a dispensing clerk or a checker in pharmacy training. Operational data is synchronized in real time, and the collaboration status is monitored, generating a collaboration score. Remote guidance from teachers is also supported. Furthermore, users' training operation data, evaluation reports, and customized scenario models are encrypted and stored in a cloud-based shared library. After authorization, other users can access training resources for their respective specializations, enabling resource reuse across terminals and institutions.

[0103] The user's completed virtual training operation data, evaluation reports, and customized virtual training scenario models are encrypted and stored in a cloud-based shared library;

[0104] It also receives resource retrieval requests from other users simultaneously, verifies the requesting user's permissions, and allows them to access the corresponding professional training resources in the cloud shared library, realizing the reuse of training resources across terminals and institutions and reducing the cost of acquiring training resources.

[0105] Furthermore, multi-user collaboration and resource sharing include the following:

[0106] Role Assignment: Supports 2-8 people to join at the same time. The system automatically assigns roles based on the user's skill level, such as giving priority to newcomers as assistant observers.

[0107] Real-time interaction: Users can communicate through a virtual voice system, which supports noise reduction processing. The operation objects support multi-person collaborative control, such as lifting virtual devices together.

[0108] Teacher supervision: Teachers can view the operation history of all users, mark errors on a virtual blackboard, or send global prompts, such as "Please pay attention to the dosage unit for medication".

[0109] Furthermore, the cloud resource ecosystem includes:

[0110] Encrypted storage: User data is stored using blockchain technology to ensure it cannot be tampered with, and only authorized users can view their own training records;

[0111] Resource reuse: Schools can share high-quality scenario models, such as virtual scenarios of standardized dispensing rooms in well-known hospitals. New users only need to pay a basic copyright fee to use them, reducing training costs.

[0112] Data interoperability: Supports integration with university academic affairs systems, automatically incorporating practical training results into the credit assessment system, reducing manual data entry workload.

[0113] The foregoing description illustrates and describes several preferred embodiments of this application. However, as previously stated, it should be understood that this application is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the inventive concept described herein through the foregoing teachings or techniques or knowledge in related fields. Any modifications and variations made by those skilled in the art that do not depart from the spirit and scope of this application should be within the protection scope of the appended claims.

Claims

1. A training method based on virtual reality technology, characterized in that, Includes the following steps: Step 1: Obtain the professional direction information required by the user and store the professional direction information in the terminal device information database; Step 2: Select a major based on the terminal device information database, select a matching virtual training scenario model and corresponding teaching content according to the major, and send a scene loading command to the virtual reality interactive device worn by the user. Step 3: Based on the scene loading instruction, the virtual reality interactive device presents a virtual training scene model; Step 4: Conduct virtual training operations based on the virtual training scenario model, and acquire user operation data in real time during the user's virtual training operation; Step 5: Based on the preset professional training evaluation standards, analyze the operation data and generate real-time feedback information to be pushed to the virtual reality interactive device worn by the user.

2. The training method based on virtual reality technology according to claim 1, characterized in that, The professional direction information includes multiple professional training courses, including the pharmacy school training direction and the animation production technology professional training direction.

3. The training method based on virtual reality technology according to claim 1 or 2, characterized in that, The virtual training scenario model is adapted to different scenarios based on professional direction: When the major is the pharmacy training direction, the virtual training scenario model includes virtual drug reagents, virtual dispensing instruments and virtual pathological samples; When the major is animation production technology, the virtual training scene model includes virtual 3D modeling tools, virtual animation timeline and virtual special effects compositing panel.

4. The training method based on virtual reality technology according to claim 1, characterized in that, The teaching content supports modular combination. Based on the custom selection instructions for the teaching content modules, users can choose basic operation modules, advanced skill modules, or emergency handling modules. The selected modules can be combined to generate personalized teaching paths that can adapt to the needs of users with different learning progress.

5. The training method based on virtual reality technology according to claim 1, characterized in that, The operation data includes the sequence of operation steps, operation duration, and completion status of key operation nodes. After a user completes a single virtual training task, the operation data and real-time feedback records are summarized to generate a training evaluation report that includes operation score, analysis of weak points, and skill mastery rating. Based on the training evaluation report, determine whether the user has met the qualification standard for the training task; If the qualification standard is not met, a targeted reinforcement training task will be generated, which is based on the operation module corresponding to the user's weak points. If the passing standard is met, the next stage of training tasks with increased difficulty will be assigned.

6. The training method based on virtual reality technology according to claim 1 or 5, characterized in that, If a user operation is detected to contain an error that does not conform to the standard operating procedure and the error is associated with a security risk, such as virtual reagent mismixing or unauthorized operation of virtual devices, a virtual risk event simulation is triggered. The virtual consequences of the error are then presented through the virtual reality interactive device, and risk response guidelines are pushed out.

7. The training method based on virtual reality technology according to claim 1, characterized in that, The real-time feedback information is pushed through voice guidance, text prompts, and tactile feedback, whereby tactile feedback is used to simulate the physical interaction feel in professional operations. When the major is the pharmacy training direction, tactile feedback simulates the weight of the virtual reagent bottle and the pressure feedback of the pipette operation.

8. The training method based on virtual reality technology according to claim 1, characterized in that, When acquiring user operation data in real time, the system simultaneously records the user's operation trajectory and interaction frequency. By analyzing the operation trajectory, the system determines the user's proficiency in using key tools and equipment in the virtual training scenario. By analyzing the interaction frequency, the system determines the fluency of the user's operation. The proficiency and fluency data are then incorporated into subsequent evaluation dimensions.

9. The training method based on virtual reality technology according to claim 1, characterized in that, The virtual training scenario model also includes multi-user collaborative training steps: By receiving collaborative training requests from multiple users, a connection channel is established for multi-user virtual training scenarios, enabling multiple users to assume different roles in the same virtual training scenario. The different roles include equipment operators and assistant observers in mechanical manufacturing training; Pharmacy school training includes roles such as dispensing clerk and checker. Based on the interconnected channels of multi-user virtual training scenarios, the system synchronizes the operation data of multiple users in real time, monitors the collaboration and cooperation among users, generates collaboration scores and provides feedback to each user, and also supports teachers to remotely access the scenario and send collaboration guidance instructions.

10. The training method based on virtual reality technology according to any one of claims 1-9, characterized in that, The user's completed virtual training operation data, evaluation reports, and customized virtual training scenario models are encrypted and stored in a cloud-based shared library; It also receives resource retrieval requests from other users simultaneously, verifies the requesting user's permissions, and allows them to access the corresponding professional training resources in the cloud shared library, realizing the reuse of training resources across terminals and institutions and reducing the cost of acquiring training resources.