Interactive classroom teaching system based on virtual reality technology

Abstract

The invention discloses an interactive classroom teaching system based on a virtual reality technology, and particularly relates to the technical field of education. The problems that an existing virtual teaching environment is rigid, multi-user operation conflicts exist, physical feedback is missing, and the evaluation dimension is single are solved. According to the invention, a virtual classroom topological structure is dynamically recombined, physical rationality of cooperative operation is realized by combining multi-level authority control and a conflict arbitration algorithm, and self-adaptive tactile feedback and an operation track intelligent analysis module are integrated. And finally, seamless switching of interdisciplinary scenes, improvement of the reality sense of multi-user operation, teaching evaluation accuracy optimization and cross-platform smooth interaction are realized.

Description

Technical Field

[0001] This invention relates to the field of educational technology, and more specifically, to an interactive classroom teaching system based on virtual reality technology. Background Technology

[0002] With the deepening application of virtual reality technology in education, VR-based classroom teaching systems are gradually becoming teaching tools that break through the limitations of time and space. Existing systems construct three-dimensional virtual environments to assist in knowledge presentation, replacing some physical teaching aids in experimental courses and reducing teaching safety risks and equipment costs. However, current technology is still limited to a one-way knowledge transfer model, with shortcomings in areas such as real-time multi-user interaction, cross-disciplinary scenario adaptation, and closed-loop teaching evaluation, making it difficult to meet the core needs of interactive inquiry-based teaching. Current technological deficiencies: 1. Scene fragmentation caused by environmental rigidity Existing systems mostly use pre-made static scene templates, which cannot dynamically reorganize spatial structures and physical rules according to the teaching progress. For example, when switching between interdisciplinary teaching, the virtual environment needs to be completely reconstructed, interrupting the continuity of teacher-student interaction; and the fixed spatial scale and lighting parameters are difficult to adapt to diverse experimental needs, resulting in serious damage to the authenticity of teaching activities such as historical scene restoration and microscopic molecular observation.

[0003] 2. Collaboration failure caused by one-way interaction Mainstream systems lack mechanisms for resolving multi-user operation conflicts. When multiple students operate the same virtual object simultaneously, the system only responds to the last received instruction or randomly selects the operation result. This coarse-grained processing undermines the physical rationality of collaborative experiments, especially in scenarios such as precision assembly and chemical reaction control. The distortion of virtual teaching aids due to operation conflicts reduces the credibility of teaching.

[0004] 3. Lack of physical feedback and operational disconnect. Current technologies generally rely on visual channels to transmit information, failing to integrate multimodal sensory feedback. Students cannot perceive the effects of force (such as intermolecular repulsion and mechanical assembly resistance) when manipulating virtual objects, resulting in a significant deviation between the applied force and real-world scenarios. This sensory disconnect makes it difficult to meet practical training standards for teaching activities requiring tactile calibration (such as surgical training and artifact restoration).

[0005] 4. The blind spot of teaching due to a single assessment dimension Traditional systems only record basic operational results (such as experiment completion time and final product status), failing to capture the decision-making logic and collaborative behavior during the operation. They lack the ability to trace the root causes of operational errors and cannot pinpoint knowledge gaps (e.g., mistakenly believing that students' assembly deviations are due to operational errors when in fact they do not understand the principles of tolerance fit), thus making teaching optimization untargeted.

[0006] Therefore, an interactive classroom teaching system based on virtual reality technology is proposed to address the above problems. Summary of the Invention

[0007] In order to overcome the above-mentioned deficiencies of the prior art, embodiments of the present invention provide an interactive classroom teaching system based on virtual reality technology to solve the problems mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution: an interactive classroom teaching system based on virtual reality technology, comprising: a virtual classroom construction module that generates a multi-user synchronous three-dimensional teaching environment with dynamically adjustable spatial topology; a teacher terminal system that controls the attributes of teaching tools and the physical rules of the environment in real time through a virtual reality display device with integrated haptic feedback and a motion capture controller; a student terminal system that drives cross-platform heterogeneous hardware devices to generate embodied interactive virtual characters; a dynamic interaction module that integrates multimodal command recognition and millisecond-level response mechanisms to achieve two-way operation feedback between teachers and students; a teaching resource library that stores a parameterized and editable three-dimensional teaching tool model library and a cross-disciplinary environment template group; an intelligent evaluation module that continuously analyzes interactive behavior data streams; and a hierarchical permission management system that dynamically configures the scope of user operation permissions; the system forms a complete technical closed loop from environment construction to teaching evaluation.

[0009] Furthermore, the virtual classroom construction module performs the following: automatically generating a spatial scene topology that matches the knowledge points based on the subject theme template selected by the teacher's terminal; maintaining the consistency of physical rules and synchronization of object states from the perspective of all access terminals in real time; dynamically adjusting the ambient light intensity spectrum distribution, spatial scale nonlinear transformation coefficients, and background element combination logic; the environment template library includes various preset types of natural science experimental fields that support molecular motion simulation, multi-dimensional restoration spaces of historical events, and mechanical structure disassembly platforms.

[0010] Furthermore, the dynamic interaction module includes: a dynamic allocation unit for object operation permissions, enabling teachers to authorize selected students with control over specific teaching aids and the scope of their operation space; a collaborative operation unit, allowing multiple student terminals to collaboratively edit the physical attributes of the same virtual teaching aid; triggering a dynamic arbitration algorithm based on physical engine constraints and priority weights when an operation vector conflict is detected; and synchronously driving a distributed haptic feedback device to generate multi-level force feedback intensity that matches the material properties of the virtual object.

[0011] Furthermore, the teaching resource library includes: a parametric teaching aid model library where each model has a dynamically adjustable physical attribute parameter matrix; an environment template library that allows teachers to reorganize the spatial structure element relationships through a topology editing interface; a resource loading engine that imports optimized and compressed 3D model data streams in batches according to the needs of the teaching stage; and intelligent matching of teaching aid models and templates that automatically generates recommended solutions based on the correlation degree of nodes in the subject knowledge graph.

[0012] Furthermore, the student terminal system implements: a hardware architecture compatible with cross-platform heterogeneous device access protocols from fully immersive head-mounted displays to lightweight web terminals; an adaptive rendering engine that dynamically adjusts the environmental texture detail level and the number of physical simulation iterations based on the terminal's real-time computing power; and optimizes the state synchronization delay between multiple terminals to an interactive threshold range through a data packet priority scheduling algorithm during multi-person collaboration.

[0013] Furthermore, the intelligent assessment module performs the following: continuously collects the time series of students' operation trajectories through spatial coordinate sensors; analyzes the standardization index of operation paths and the efficiency parameters of collaborative conflict resolution based on a preset rule base; generates a multi-dimensional diagnostic report that integrates the distribution map of operation error hotspots and the assessment vector of knowledge mastery; and feeds the assessment results back to the teacher's terminal in real time to trigger adaptive teaching strategy adjustment instructions.

[0014] Furthermore, the hierarchical permission management system includes: the teacher role has the right to modify environmental physical rules and the right to manage the permission allocation tree structure; the student role's permission scope is limited to a subset of the operation space of the authorized teaching aids; the visitor role only has basic environmental observation permissions; and the permission level is dynamically upgraded or downgraded within a preset safety boundary based on the progress of the teaching stage and the results of the operation risk assessment.

[0015] Furthermore, the collaborative operation unit performs the following: real-time directional conflict detection on the operation command vectors input by multiple students; calculates the resultant path of the operation force based on the physical property tensor of the teaching aid and the priority matrix preset by the teacher; triggers a graded tactile warning feedback mechanism when the operation force exceeds the physical tolerance range of the teaching aid; and updates the collaborative operation result data to all associated terminals in real time through a differential synchronization algorithm.

[0016] The technical effects and advantages of this invention are as follows: Compared with existing technologies, this invention achieves seamless switching of interdisciplinary teaching scenarios through the dynamic environment reorganization mechanism of the virtual classroom construction module. It can adjust the spatial topology and physical rule parameters in real time according to the teaching theme while maintaining the continuity of teacher and student operations. Based on the multi-level permission control and conflict arbitration algorithm of the dynamic interaction module, it effectively solves the problem of instruction conflicts when multiple users operate the same virtual object. Vector synthesis and priority weight allocation ensure the physical rationality of the collaboration process. The integration of the force feedback intensity adaptive adjustment function of wearable haptic devices allows students to obtain sensory feedback matching real physical phenomena when operating virtual teaching aids, improving the realism of precision operation training. Relying on the intelligent evaluation module's continuous capture of operation trajectories and rule base comparison analysis, it generates multi-dimensional diagnostic reports covering operation standardization, collaboration efficiency, and knowledge gaps, providing teachers with precise basis for adjusting teaching strategies. Combined with the dynamic computing power allocation mechanism of the cross-platform adaptive rendering engine, it optimizes resource loading efficiency while ensuring the smoothness of synchronous interaction on heterogeneous devices, forming a complete teaching closed loop from environment construction and real-time interaction to effect evaluation. Attached Figure Description

[0017] Figure 1 This is a system framework diagram of the present invention.

[0018] Figure 2 This is a flowchart illustrating the dynamic environment construction process of the present invention.

[0019] Figure 3 This is a flowchart of the collaborative operation conflict arbitration process of the present invention.

[0020] Figure 4 This is a flowchart illustrating the intelligent evaluation and permission linkage process of the present invention. Detailed Implementation

[0021] The following will refer to the appendices in the embodiments of the present invention. Figure 1-4 The technical solutions in the embodiments of the present invention are clearly and completely described herein. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0022] Applicable scenario: Teaching molecular interaction forces in high school chemistry classes Step 1: Virtual Environment Construction and Permission Initialization In this teaching scenario, once the teacher selects the "Molecular Dynamics" environment template via the terminal, the system immediately constructs a three-dimensional cube simulation space with adjustable side lengths and automatically loads a pre-set standardized water molecule model library (including ball-and-stick models of oxygen and hydrogen atoms set according to real physical parameters). After the teacher sets the initial environmental temperature range to 280-350 Kelvin and the pressure range to 0.9-1.1 standard atmospheres, the permission system simultaneously locks the control of the environmental parameters to the teacher's terminal and grants exclusive operation permissions to each collaborative group of 3 students—each group can control the microscopic behavior of 5 water molecules (including dynamic adjustment of bond length, bond angle, and spatial pose). When students access the system through lightweight VR glasses, the system detects the device performance in real time and adaptively optimizes the rendering scheme (such as dynamically reducing the surface subdivision precision of the hydrogen bond electron cloud and the particle effect level according to the terminal's computing power), accurately presenting molecular dynamics characteristics while ensuring the smoothness of immersive interaction.

[0023] Step 2: Synchronizing Molecular Manipulation with Physical Rules In immersive interactive learning, when student A grabs water molecule M1 with a gesture and drags it near water molecule M2 controlled by student B, the system continuously monitors the distance between the two molecules using a real-time spatial positioning algorithm. Once the Euclidean distance enters the preset cutoff radius range (5-10 Å), the molecular dynamics engine immediately triggers the van der Waals force field calculation model: where the attractive force component is composed of the matching degree of the dipole moment vectors of the two molecules (derived through a simplified algorithm of the Schrödinger equation) and the distance attenuation coefficient (consisting of r⁻). 6 The product of the functional relationship is dynamically generated, while the repulsive force component is scanned in real time by a quantum chemical algorithm (with an accuracy of 0.1 ų) of the electron cloud overlap region, and the overlap volume is multiplied by the parameterized Paul repulsion constant (Coulomb correction value). Based on the resultant force vector field strength, the tactile feedback system dynamically adjusts the linear resonator of the student A's hand-wearing device to generate a gradient adsorption vibration wave of 5-15 Newtons (frequency synchronized with the molecular vibration energy level), while simultaneously loading the student B device with a reverse pulse anti-vibration of 3-8 Newtons (amplitude increases with electron cloud repulsion). All collaborative operation terminals synchronously generate intermolecular distance-time variation curves (sampling rate 1000 Hz) and project a dynamic thermogram of the potential energy trap in three-dimensional space (using blue-red spectrum mapping of energy gradient from -10 to +5 kcal / mol) to achieve cross-modal sensing of microscopic interactions.

[0024] Step 3: Arbitration of conflicts involving multiple students When students C and B simultaneously apply opposing forces to water molecule M2 (student C drags to the right while student B maintains the leftward displacement command), the collaboration system's conflict detection module immediately activates the teacher-preset priority arbitration mechanism by calculating the spatial angle between the two displacement vectors in real time (>90° triggers conflict determination): the dynamic allocation model of molecular control rights sets the operation weight of student B (the current molecule owner) to 70% and the weight of student C (the collaboration requester) to 30% based on atomic-level operation permissions, and calculates the final displacement path using a vector synthesis algorithm, specifically represented as (×0.7) + ×0.3); the system drives molecule M2 to synthesize along this path. The trajectory motion (the motion speed is attenuated according to the weight ratio to the superposition of 70% and 30% of the original speed) is simultaneously rendered in real time on all associated terminals as a purple pulse trajectory line (the line width changes dynamically with the intensity of the conflict), and different feedback is output to the tactile gloves of students B and C respectively: student B receives a steady-state resistance vibration of 6-11 Newtons (the wavelength is proportional to the operation weight), while student C perceives a high-frequency vibration of 3-6 Newtons (the frequency increases to 120Hz with the difference in weight). The teaching terminal simultaneously pops up a conflict resolution data panel (including the curve of the angle change between the two operation vectors, the composite displacement energy heat map, and the circular proportion of the permission weight).

[0025] Step 4: Phase Transition Experiment and Evaluation As the teacher gradually increased the temperature parameter to 373K and triggered a phase transition in the simulated system, the students collectively accelerated molecular motion, causing a dramatic change in the thermodynamics of liquid water molecules. When the monitoring unit detected that more than 60% of the intermolecular distances exceeded the critical threshold (2.6 Å) for hydrogen bonding, the phase transition engine immediately triggered a multi-level state transformation effect. The system first rendered the dissociation process of the water molecule hydrogen bond network as a progressively breaking fluorescent blue ribbon (generating an entropy-increasing particle flow at the break point). Then, within 0.5 seconds, it reconstructed the entire liquid system into freely diffusing water vapor molecule clusters (presented as a dynamic, semi-transparent vapor cloud, accompanied by a thermal perturbation vortex animation). Simultaneously, the intelligent evaluation module captured three core data points: all... The average operation latency of student terminals remained stable at 186ms (below the 200ms teaching baseline), the collaboration efficiency index reached 92% (based on 301 successful goals achieved out of 327 conflict arbitrations), and the knowledge mastery was rated 85 / 100 through fitting and comparison of the dynamic potential energy curve with the standard phase transition model. The final generated 3D assessment report projected a bar chart in the molecular cloud space (suspended above the corresponding student's operating position), with orange pulsed light circles highlighting error hotspots. 35% of students failed to release molecular kinetic energy in time through gestures during the critical phase transition window, resulting in the formation of unnatural energy peaks in some areas (the system automatically generated slow-motion replay clips and marked the spatiotemporal coordinates where buffering force should be applied).

[0026] Applicable scenario: Architectural history training course in university history departments Step 1: Building a cross-platform environment After activating the "Architectural Plaza of a Certain Location" teaching scenario, the system immediately constructed a 1:1 virtual space with archaeological-level precision (the core structure includes a temple of a certain style, a copper-inlaid podium, and a plaza paved with 1500 parametric basalt stones). A dynamic rendering strategy was then initiated for the mixed terminal cluster: the high-performance head-mounted display group (equipped with an RTX 5090 graphics card) loaded 0.1mm-level marble materials (achieving subsurface scattering light effects and micro-topological mapping of cracks), while the web terminal group used LOD automatic simplification technology (reducing the precision of the acanthus leaf carving to 5mm and replacing the column relief with a normal map); the adaptive rendering engine adjusted the rendering based on the students' gaze focus. Real-time scheduling of computing power means that when a student stares at a Doric column (eye-tracking latency ≤8ms), the area is instantly boosted to 200% geometric subdivision (revealing 0.05mm-level surface detail of the bell-shaped circular groove), while the background temple complex is simultaneously reduced to 50% rendering load (the bracket structure is simplified to a low-polygon outline); all terminals maintain a 90Hz collaborative frame rate, and the image quality difference is bridged through an intelligent fog effect compensation algorithm (the web page group uses Volumetric particle clouds to fill in the missing details in the distant view); the teacher's console monitors the GPU temperature fluctuations of 30 terminals in real time (dynamically adjusting the photon tracking depth to avoid device overload).

[0027] Step 2: Collaborative Restoration Task for Cultural Relics In a collaborative task involving the restoration of ancient buildings, once the teacher authorized a three-person team with a model of a broken fragment, the spatial reconstruction system immediately activated the collaborative operation protocol: Student A controlled the rotation of fragment A's 3D coordinate system to a preset point (X:120, Y:65, Z:20, with the system using a 0.05mm-level laser positioning net to correct the offset in real time); simultaneously, Student B activated a virtual adhesive spray gun to generate a nanoscale adhesive layer along the joint (the spray trajectory was simulated by a fluid dynamics algorithm, and the adhesive diffusion rate was correlated with the surface roughness parameters); and Student C used a digital inclinometer to calibrate the pose of fragment B (continuously calculating the rotation matrix using a quaternion algorithm to ensure that the tilt angle tolerance with fragment A was controlled within ±1.5°). When the normal deviation of the joint surface of the two fragments is detected to be <0.8°, the magnetic attraction engine is activated instantaneously, driving the fragments to be precisely adsorbed at an acceleration of 0.2m / s² (golden particle flow bursts at the joint, accompanied by stone molecular lattice recombination animation). At this time, student B's tactile glove generates progressive resistance feedback, requiring the application of 8-12 Newtons of continuous pressure for 3 seconds (triggering a viscosity step vibration every 0.5 seconds, simulating the cross-linking reaction during the epoxy resin curing process). The entire process data is mapped into a three-dimensional repair map (including the thermal cloud map of the joint sealing degree, the stress distribution vector field, and the molecular bond binding energy curve). Incorrect operation will trigger a pulsating red light warning on the edge of the fragment and automatically generate a predicted compressive strength value (forced termination of adhesion when below 35MPa).

[0028] Step 3: Dynamic Reenactment of Historical Events When a teacher activates the "Speech" historical event script, the scene engine immediately performs a multi-dimensional dynamic reconstruction: the ambient lighting system gradually changes to a warm yellow temperature of 2800K (the illuminance curve simulates the diffusion of oil lamp halo, and the length of the shadow cast on a certain background automatically adapts to the twilight angle); the square population density controller instantly increases to 200 AI virtual characters (layered rendering according to the identity of citizens in a certain building, with senators wearing purple-trimmed toga robes and commoners assigned coarse linen materials, and all NPCs equipped with a facial capture-driven emotion feedback system); the lectern material loading module accurately replaces the original version from 44 BC using an archaeological database (showing the subtle cracks in the volcanic ash concrete base and oak lectern); at this time, students can swipe the bronze material "time scroll" control floating in front of them (tactile feedback)... The system controls the spatiotemporal flow by using a feedback simulation of sand and gravel friction. The system adjusts the event process at a continuously variable rate of 0.5-2 times. When the rate drops to 0.5 times, a Latin speech is deconstructed into syllable-level slow motion (lip-sync accuracy reaches 0.1 seconds), the frequency of citizens whispering to each other decreases to 5 times per minute, and the physical simulation of the wind blowing the toga robe is switched to a semi-fluid mode. When the rate increases to 2 times, a time compression algorithm is triggered (12 sets of transition actions are generated by interpolation per frame), the frequency of 200 NPC behaviors is doubled (the clapping action is simplified to a shadow trajectory), and the intelligent audio engine upscales the speech to 180Hz to maintain intelligibility (background noise volume is reduced to 15%). All terminals display spatiotemporal curvature distortion effects in real time (the temple columns produce Doppler effect visual distortion).

[0029] Step 4: Real-time verification of structural mechanics When students collaboratively construct the arch, exceeding the load-bearing limit of the stone structure (a typical error is excessive pressure on the coping stone), the system's physics engine immediately initiates real-time finite element analysis: the calculation shows that the central wedge stone instantaneously bears a load percentage greater than 85% (far exceeding the 45% safety threshold), triggering a chain collapse protocol—firstly, a 0.1mm wide crack is generated at the bottom of the overloaded wedge stone (based on fracture mechanics algorithm to predict the propagation path), and the crack spreads radially along the mortar joint at a controllable rate of 2-5cm / s (each centimeter of crack growth simultaneously releases gravel and dust particles, accompanied by a low-frequency rumbling sound wave attenuation field); at the same time, all operators' tactile gloves activate adjustable vibration feedback (a 20Hz fundamental frequency simulates low-frequency vibration of the structure, superimposed with a 35Hz high-frequency pulse mode). The simulation includes a falling stone impact, accompanied by a sudden drop in grip resistance (a gradient change from 5 Newtons to 0 Newtons simulating the feeling of loss of support); the intelligent assessment module simultaneously marks three types of key errors: structural design defects (78% of students ignored the placement of the arch foot reinforcement piers), improper material allocation (62% of the arch coping stones were more than 30% overweight), and stress monitoring blind spots (only 15% of students used load heat map assistance), and highlights the reconstructed guide lines in the ruins projection (red beams mark the arch foot positions where reinforcement piers should be placed (coordinate error <3mm), and blue semi-transparent arches demonstrate the correct force transmission path (stone thickness is automatically optimized to 130% of the original value)), while generating a load-bearing safety factor prediction model (if built according to the correct plan, it can achieve 6.8 times redundancy).

[0030] Applicable scenario: Mechanical repair training in vocational and technical colleges Step 1: Dynamic loading of parameterized teaching aids In the virtual automotive engineering experiment, after the teacher loads a parametric four-cylinder engine model (containing 217 precisely modeled parts), the system immediately activates a dynamic hierarchical rendering mechanism: all bolt assemblies 200 meters away are simplified to smooth cylinders (omitting the 60° thread angle detail); once the student's operating handle approaches within 0.3 meters, the complete thread geometry topology is instantly reconstructed (showing the UNF standard pitch and root radius); the core component parameter library simultaneously activates the physical engine constraints, namely, the mass fluctuation range of the aluminum alloy piston assembly is strictly controlled within ±0.05kg (a red warning light is triggered when the tolerance is exceeded), and the yield strength of the forged steel crankshaft can be adjusted in real time between 350-500MPa via a slider (the microcrystalline structure changes dynamically with the strength value); when the student assembles the crankshaft connecting rod mechanism, the thermodynamic simulation module continuously monitors the working status: four cycles The phase difference tolerance is automatically locked at 90±0.5° (orange-red stress stripes appear on the piston skirt when the cylinder pressure is abnormal). If the burst pressure exceeds 15MPa, the knock buffer algorithm is activated (blue energy dissipation vortex rings are generated at the small end of the connecting rod). The tactile gloves on the student terminal provide graded feedback on the assembly force, that is, a constant torque of 20-40N must be maintained during the bolt pre-tightening stage (the glove vibration frequency is linearly positively correlated with the torque value). When the cylinder head assembly is out of tolerance, a cross pulse alarm wave is triggered (peak value reaches 50Hz). The teacher's console generates a sixteen-dimensional evaluation matrix in real time (including piston ring leakage curve, counterweight balance radar chart, and ignition timing thermal diagram of each cylinder). Frequent error points are specially marked: some students ignore the axial clearance when installing the crankshaft thrust bearing (default value is out of tolerance of 0.25mm). The system automatically generates slow-motion correction guidance (the shim selection position is marked with a semi-transparent green arrow).

[0031] Step 2: Disassembly and Assembly Procedure Guidance and Conflict Detection Student A attempted to disassemble the flywheel directly (the correct procedure requires disassembling the clutch first): The access control system detected an operation that violated the Standard Operating Procedure (SOP) code P202.

[0032] Dynamic arbitration mechanism activated: Freeze flywheel bolts for 3 seconds.

[0033] An overlay warning animation is added to the operating view: a red arrow points to the clutch position.

[0034] Incorrect operations are recorded in the "Process Violation" item of the evaluation system.

[0035] Step 3: Assembly tolerance adjustment In the engine precision assembly training, when student B obtains the precise cylinder diameter value (Φ84.972mm) using a virtual micrometer, and student C selects piston rings (preset tolerance range 84.95-85.01mm) from the dynamic tolerance library, the clearance out-of-tolerance monitoring module immediately initiates triple verification: if the measured assembly clearance is detected to be >0.04mm, the system first calculates the transient leakage rate based on the fluid dynamics model (calculation formula: leakage rate = (measured clearance value / 0.01)² × The crankshaft real-time speed factor (speed / 1000) is then used to generate high-frequency pulse feedback on the student's tactile gloves. This simulates gas injection with a 30-150Hz gradient vibration (pulse intensity increases with leakage rate, 150Hz corresponds to a leakage rate of 10L / min). Simultaneously, a blue gas escape particle flow is superimposed on the assembly interface (the leakage path is rendered according to the Navier-Stokes equations). The intelligent evaluation system simultaneously marks the "fitting clearance out of tolerance" error code in the 3D work order (a red flashing boundary box is triggered when the clearance exceeds the tolerance by 0.05mm), and links with the digital twin test bench: the virtual dynamometer diagram instantly displays the anomaly. Fluctuations (expansion stroke pressure curve attenuation of 12-18%) trigger a 3kHz audio alarm from the knock sensor. Error data is archived in the teaching database (specifically, 79% of students neglected the thermal expansion compensation coefficient, resulting in qualified cold assembly but a 0.08mm deviation in hot-engine clearance). The system automatically pushes a correction plan, projects laser auxiliary lines (0.02mm gradient color bands) onto the cylinder wall to guide the reselection of piston ring models (recommended to be a B-grade compensation ring with an interference fit of 0.003mm), and forces students to start 0.5x speed assembly guidance (the virtual cylinder diameter measuring mirror displays the estimated thermal deformation value in real time).

[0036] Step 4: Run a fault diagnosis and assessment After assembly, the teacher starts a virtual test drive: 1. The physics engine simulates a 2500rpm operating condition.

[0037] 2. When a compression ratio deviation of >8% is detected in cylinder 3: The piston assembly of this cylinder will be automatically highlighted.

[0038] A fault spectrum diagram was generated: the amplitude at 200Hz exceeded the standard by 3.2 times.

[0039] 3. The assessment report traces the error to the piston pin installation angle of student C (>1.8°).

[0040] 4. The system pushes customized learning materials: videos on piston ring and circlip installation specifications.

[0041] Finally, the following points should be noted: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installation", "connection", and "linkage" should be interpreted broadly, and can be mechanical or electrical connections, or internal connections between two components, or direct connections. "Up", "down", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may change. Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. 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.

Claims

1. An interactive classroom teaching system based on virtual reality technology, characterized in that... Includes: a virtual classroom building module that generates a multi-user synchronous 3D teaching environment with dynamically adjustable spatial topology; a teacher terminal system that uses integrated haptic feedback virtual reality display devices and motion capture controllers to control the attributes of teaching tools and the physical rules of the environment in real time; a student terminal system that drives cross-platform heterogeneous hardware devices to generate embodied interactive virtual characters; a dynamic interaction module that integrates multimodal command recognition and millisecond-level response mechanisms to achieve two-way operation feedback between teachers and students; a teaching resource library that stores parameterized and editable 3D teaching aid models and cross-disciplinary environment template groups; and an intelligent assessment module that continuously analyzes interactive behavior data streams. The hierarchical permission management system dynamically configures the scope of user operation permissions; the system forms a complete technical closed loop from environment construction to teaching evaluation.

2. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The virtual classroom construction module performs the following: automatically generates a spatial scene topology matching the knowledge points based on the subject theme template selected by the teacher's terminal; maintains the consistency of physical rules and synchronization of object states from the perspective of all access terminals in real time; dynamically adjusts the ambient light intensity spectrum distribution, spatial scale nonlinear transformation coefficients, and background element combination logic; the environment template library includes a variety of preset types such as natural science experimental fields that support molecular motion simulation, multi-dimensional restoration spaces of historical events, and mechanical structure disassembly platforms.

3. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The dynamic interaction module includes: a dynamic allocation unit for object operation permissions, which enables teachers to authorize selected students to control specific teaching aids and the scope of their operation space; a collaborative operation unit, which allows multiple student terminals to collaboratively edit the physical properties of the same virtual teaching aid; a dynamic arbitration algorithm based on physical engine constraints and priority weights, which is triggered when an operation vector conflict is detected; and a distributed haptic feedback device that synchronously drives the generation of multi-level force feedback intensity that matches the material properties of the virtual object.

4. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The teaching resource library includes: a parametric teaching aid model library where each model has a dynamically adjustable physical attribute parameter matrix; an environment template library that allows teachers to reorganize the spatial structure element relationships through a topology editing interface; a resource loading engine that imports optimized and compressed 3D model data streams in batches according to the needs of the teaching stage; and intelligent matching of teaching aid models and templates that automatically generates recommended solutions based on the correlation of nodes in the subject knowledge graph.

5. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The student terminal system implements a hardware architecture that is compatible with cross-platform heterogeneous device access protocols, ranging from fully immersive head-mounted displays to lightweight web terminals. The adaptive rendering engine dynamically adjusts the level of environmental texture detail and the number of physical simulation iterations based on the real-time computing power of the terminal; during multi-person collaboration, the data packet priority scheduling algorithm optimizes the state synchronization delay between multiple terminals to within the interactive threshold range.

6. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The intelligent assessment module performs the following steps: continuously collects time series data of students' operation trajectories using spatial coordinate sensors; analyzes operation path standardization indicators and collaborative conflict resolution efficiency parameters based on a pre-set rule base; generates a multi-dimensional diagnostic report that integrates operation error hotspot distribution maps and knowledge mastery assessment vectors; and provides real-time feedback of assessment results to the teacher's terminal to trigger adaptive teaching strategy adjustment instructions.

7. The interactive classroom teaching system based on virtual reality technology as described in claim 1, characterized in that... The hierarchical permission management system includes: the teacher role has the right to modify environmental physical rules and the right to manage the permission allocation tree structure; the student role's permission scope is limited to a subset of the operation space of the authorized teaching aids; the visitor role only has basic environmental observation permissions. The permission level is dynamically upgraded or downgraded within a preset safety boundary based on the progress of the teaching stage and the results of the operational risk assessment.

8. The interactive classroom teaching system based on virtual reality technology as described in claim 3, characterized in that... The collaborative operation unit performs the following: real-time directional conflict detection on operation command vectors input by multiple students; calculates the resultant path of operation force based on the physical property tensor of the teaching aid and the priority matrix preset by the teacher; triggers a graded tactile warning feedback mechanism when the operation force exceeds the physical tolerance range of the teaching aid; and updates the collaborative operation result data to all associated terminals in real time through a differential synchronization algorithm.

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