Isolation ward nursing training system and method based on virtual simulation

Abstract

The invention relates to the technical field of nursing training, in particular to an isolation ward nursing training system and method based on virtual simulation, and the system comprises an operation module, a modeling module and a simulation module. According to the isolation ward nursing training system based on virtual simulation, a virtual isolation ward environment is constructed through the modeling module, and a three-dimensional virtual ward model, a nursing operation specification program and trainee data are stored through a memory in the simulation module; and finally, providing an interactive interface and an operation entrance for the trainee through the operation module, capturing the operation action of the trainee in real time through an action capturer in the simulation module, and judging the operation specification of the trainee. According to the system, a highly simulated virtual environment is constructed, so that a trainee can practice and correct repeatedly under safe and controllable conditions, actual medical resources do not need to be occupied, the infection risk is also avoided, and the safety and accessibility of training are greatly improved.

Description

Technical Field

[0001] This invention relates to the field of nursing training technology, specifically to a virtual simulation-based nursing training system and method for isolation wards. Background Technology

[0002] With societal development, the number of nursing trainees is increasing, placing higher demands on the professionalism, standardization, and efficiency of nursing training. Nursing training is a crucial link in improving the professional skills of nursing staff and ensuring the quality of medical services and patient safety. Among various nursing scenarios, isolation wards, due to their unique environment, high-risk operations, and stringent infection control requirements, have become a key and challenging area for nursing training. Traditional isolation ward nursing training relies heavily on theoretical lectures, mannequin operations, or clinical instruction, which suffers from insufficient realism in training scenarios, difficulty in repeatedly practicing high-risk operations, high resource costs, and potential risks to patients. These methods are no longer sufficient to meet the urgent needs of modern nursing training for professionalism, standardization, and efficiency. Currently, medical virtual simulation training systems are commonly used to assist in isolation ward nursing training, which improves the convenience and safety of training to a certain extent.

[0003] However, existing medical virtual simulation training systems suffer from problems such as low scenario fidelity, inaccurate simulation of operational details, lack of intelligent error warning functions, and poor multi-platform compatibility when targeting special infection control scenarios such as isolation wards. These issues result in unsatisfactory training effects, high infection risks, and serious waste of training resources.

[0004] To address this issue, the present invention provides a virtual simulation-based training system and method for nursing care in isolation wards, thereby solving the aforementioned problems. Summary of the Invention

[0005] To overcome the shortcomings of existing technologies, this invention provides a virtual simulation-based isolation ward nursing training system and method to solve the problems in existing technologies.

[0006] To achieve the above objectives, the present invention provides the following technical solution: A virtual simulation-based training system and method for nursing care in isolation wards, comprising: The system includes an operation module, providing trainees with an interactive interface and operation entry point, including an operator and a display; a modeling module, communicatively connected to the operation module, for constructing a virtual isolation ward environment; the modeling module includes an image collector and a modeling processor; the image collector is used to collect multi-dimensional information from a real isolation ward; the modeling processor is used to receive and process the multi-dimensional information to generate a corresponding three-dimensional virtual ward model; and a simulation module, communicatively connected to the operation module and the modeling module, for driving and managing the training process; the simulation module includes a memory and a motion capture device; the memory is used to store the three-dimensional virtual ward model, nursing operation procedures, and trainee data; and the motion capture device is used to capture the trainee's operational actions in real time.

[0007] Preferably, the multi-dimensional information collected by the image collector includes: the internal spatial structure and layout of the ward, the types and locations of internal medical equipment, the layout of external related equipment systems, and the structure and airflow parameters of the ward's ventilation duct system.

[0008] Preferably, the image collector includes an acquisition lens and a stabilizing platform; the acquisition lens is rotatably connected to the stabilizing platform, which is used to maintain the attitude stability of the acquisition lens during shooting; the acquisition lens has adjustable optical parameters and a parameter locking function.

[0009] Preferably, the modeling processor is integrated into the operation module, and the processing includes: image stitching, point cloud reconstruction and three-dimensional rendering of the collected multi-dimensional information to generate an interactive three-dimensional virtual ward model that is consistent with the spatial scale and equipment position of the real ward.

[0010] Preferably, the motion capture device is a wearable device or an optical capture device. The operation data captured by the motion capture device is mapped in real time onto virtual characters or tools in the three-dimensional virtual ward model and is subject to logical verification by the nursing operation standard procedure.

[0011] Preferably, the nursing operation procedure stored in the memory includes standardized operating procedures for different nursing scenarios, behavioral norms for contaminated and clean areas, and a virtual training module for wearing and removing personal protective equipment.

[0012] This invention also provides a virtual simulation-based nursing training method for isolation wards, applied to the aforementioned training system. The method includes: S1: Based on the modeling module, collecting multi-dimensional information of the target isolation ward, and generating a high-fidelity, interactive three-dimensional virtual isolation ward environment model through processing, and storing it in the memory; S2: Presenting the three-dimensional virtual isolation ward environment model and preset nursing training tasks to the trainee through the operation module; capturing real-time operation data of the trainee during task execution using the motion capture device; S3: Mapping the captured real-time operation data to corresponding roles or tools in the virtual environment, and retrieving the nursing operation standard program in the memory to compare and verify the logic, sequence, and spatial position of the operation actions in real time; S4: Based on the verification results, providing real-time visual, auditory, or tactile feedback to the trainee through the display of the operation module, and generating a comprehensive training evaluation report containing data on operational standardization, step completeness, and time consumption after the task is completed.

[0013] Preferably, S1 specifically includes: S1.1: acquiring multi-angle and all-round image and spatial data of the real isolation ward through the image collector; S1.2: the modeling processor performing three-dimensional reconstruction of the acquired data to accurately restore the ward structure, medical equipment model and ventilation system path; S1.3: in the reconstructed three-dimensional scene, configuring interactive hotspots, task triggering areas and logical boundaries of contaminated and clean areas based on the nursing operation standard procedure.

[0014] Preferably, in S2, the preset nursing training tasks include at least: personal protective equipment donning and doffing procedures, aseptic operation techniques in wards, virtual operation of medical equipment, patient transfer simulation, and standardized medical waste disposal procedures.

[0015] Preferably, the logic verification in S3 includes: sequence verification: determining whether the trainee's operation steps conform to the preset process sequence; area verification: determining whether the trainee's virtual role or tool violates the behavioral norms between the contaminated area and the clean area; and operation integrity verification: determining whether the key operation actions are performed properly.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: The virtual simulation-based isolation ward nursing training system described in this invention constructs a virtual isolation ward environment through a modeling module. Then, a memory within the simulation module stores a 3D virtual ward model, standardized nursing operation procedures, and trainee data. Finally, an operation module provides trainees with an interactive interface and operation entry point, while a motion capture device in the simulation module captures trainees' operational movements in real time to determine the compliance of their actions. This system, by constructing a highly realistic virtual environment, allows trainees to practice and correct their techniques repeatedly under safe and controllable conditions, without consuming actual medical resources and avoiding infection risks, thus greatly improving the safety and accessibility of training. Attached Figure Description

[0017] Figure 1 This is a system structure diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention; Figure 3 This is a flowchart illustrating the processing method for the modeling module. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] like Figure 1 As shown, the virtual simulation-based isolation ward nursing training system provided by this invention includes an operation module, a modeling module, and a simulation module. The operation module provides trainees with an interactive interface and operation entry point, including an operator and a display. In this embodiment, the operation module is a computer system. The modeling module is communicatively connected to the operation module and is used to construct a virtual isolation ward environment. The modeling module includes an image collector and a modeling processor. The image collector is used to collect multi-dimensional information of the real isolation ward. The modeling processor is used to receive and process multi-dimensional information to generate a corresponding three-dimensional virtual ward model. The simulation module is communicatively connected to the operation module and the modeling module and is used to drive and manage the training process. The simulation module includes a memory and a motion capture device. The memory is used to store the three-dimensional virtual ward model, nursing operation procedures, and trainee data. The motion capture device is used to capture the trainee's operation actions in real time.

[0020] This invention relates to a virtual simulation-based isolation ward nursing training system. The system constructs a virtual isolation ward environment through a modeling module, stores a 3D virtual ward model, standardized nursing procedures, and trainee data in a simulation module's memory, and provides trainees with an interactive interface and access points through an operation module. The simulation module's motion capture device captures trainees' actions in real time to assess the accuracy of their movements. By constructing a highly realistic virtual environment, this system allows trainees to practice and correct their techniques repeatedly under safe and controllable conditions, without consuming actual medical resources and avoiding infection risks, thus greatly improving the safety and accessibility of training.

[0021] In this embodiment, the multi-dimensional information collected by the image collector includes: the internal spatial structure and layout of the ward, the types and locations of internal medical equipment, the layout of external related equipment systems, and the structure and airflow parameters of the ward's ventilation duct system. The internal spatial structure and layout encompasses the ward's length, width, and height dimensions; the materials and colors of the walls, floor, and ceiling; and the specific placement and dimensions of infrastructure such as beds, bedside tables, and storage cabinets. Internal medical equipment includes the models, appearance characteristics, control panel layouts, and precise coordinates within the ward for devices such as ventilators, ECG monitors, infusion pumps, and disinfection equipment. The layout of external related equipment systems involves the spatial orientation and connection methods of buffer zones, waste disposal channels, and medication delivery channels connected to the ward. The ventilation duct system structure details the location, number, and diameter of air inlets and outlets, while airflow parameters include key data such as air velocity, pressure gradient, air exchange rate, and temperature and humidity. This information collectively constitutes the basic data for the three-dimensional virtual ward model, ensuring the accuracy of the model in terms of spatial fidelity and equipment detail representation.

[0022] The image collector includes an acquisition lens and a stabilizing platform. The acquisition lens is rotatably connected to the stabilizing platform, which maintains the lens's posture stability during shooting. The acquisition lens has adjustable optical parameters and a parameter locking function. The lens's rotation angle range covers 0-360° horizontally and -45° to 90° horizontally, ensuring comprehensive spatial information capture of the entire ward area without blind spots. The stabilizing platform incorporates a three-axis gyroscope and an electromagnetic damper. When slight external vibrations occur or the shooting platform shifts, the mechanical structure of the stabilizing platform can be adjusted in real time to ensure the optical axis of the acquisition lens always maintains the preset shooting direction, preventing image blurring or spatial coordinate shifts due to shaking. Optical parameter adjustment covers continuous zoom from 4mm to 12mm focal length, aperture range from F1.4 to F16, and ISO sensitivity adjustment from 100 to 6400 to adapt to shooting needs under different lighting conditions: for example, in a dimly lit corner of a ward, the aperture can be increased and the ISO sensitivity increased to ensure image sharpness, while in a bright light environment, the aperture can be reduced and the ISO sensitivity decreased to avoid overexposure; the parameter locking function is achieved through a physical knob on the side of the lens or the accompanying control software. After the optical parameters of a specific area are adjusted, the aperture, focal length, and other parameters are locked to ensure that the exposure, depth of field, and other optical characteristics of images acquired in the same batch are consistent, which facilitates the accuracy of image stitching and data fusion during subsequent 3D modeling.

[0023] In this embodiment, the modeling processor is integrated into the operation module. The processing includes: image stitching, point cloud reconstruction and 3D rendering of the collected multi-dimensional information to generate an interactive 3D virtual ward model that is consistent with the spatial scale and equipment position of the real ward. In this embodiment, Maya or 3ds Max is used for modeling. The modeling methods include basic block construction, contour extrusion molding, and Boolean operation opening. By creating a large cube and using the extrusion command to extrude the wall thickness inward, a closed interior space can be quickly obtained. After accurately depicting the wall outline with splines in the top view, an extrusion modifier is added to the closed splines, and the wall height is given to generate a closed wall model. Finally, a cube representing a doorway is created on the wall and intersected with the wall. Then, Boolean difference operation is used on the wall to subtract the cube, thus forming the opening (door or window). During the model building process, the key medical equipment in the isolation ward needs to be modeled in detail, such as ventilators, electrocardiogram monitors, and IV stands. Specifically, high-precision 3D scanning technology is used to obtain the point cloud data of the equipment. After importing the point cloud data into the modeling software, noise reduction and smoothing are performed to preserve the texture features and structural details of the equipment surface, such as the knob scale of the ventilator, the interface layout of the display screen, and the telescopic adjustment structure of the IV stand. For the interactive parts of the equipment, a separate movable joint model needs to be created and a skeletal animation controller added to it, enabling it to simulate realistic operation movements in the virtual environment. Model texture creation adopts a PBR (Physically Based Rendering) workflow. High-resolution texture photos of the real equipment are taken, and textures are painted and baked using Substance Painter software to generate PBR material spheres containing information such as diffuse reflection, normals, metallicity, and roughness. After being applied to the model, it can present lighting and reflection effects close to those of real objects, such as the specular reflection of metal parts and the diffuse reflection characteristics of plastic shells. After completing the basic model and texture creation, each model component is placed according to the layout coordinates of a real ward, ensuring that the relative positions and size proportions of the equipment in the virtual ward are consistent with the real scene, such as the distance between the bed and the bedside table, and the relative orientation of the monitor and the bed, to enhance the realism and immersion of the virtual environment.

[0024] In this embodiment, the motion capture device is a wearable device or an optical capture device. The operation data captured by the motion capture device is mapped in real time onto virtual characters or tools in a three-dimensional virtual ward model and is subject to logical verification by the nursing operation procedure. In this embodiment, the motion capture device is a VR controller. The VR controller, through its built-in accelerometer, gyroscope, and infrared positioning sensor, can collect data such as the three-dimensional spatial position, rotation angle, and button trigger status of the operator's hand in real time. For example, when the operator holds the VR controller to simulate needle holding, the controller can accurately capture the pitch angle of the wrist, the pressure of the finger on the trigger button (corresponding to the puncture depth control of the virtual needle), and the movement trajectory of the hand in three-dimensional space; when performing virtual infusion tubing connection operations, the six degrees of freedom motion data of the controller can drive the alignment action of the infusion needle and infusion tubing interface in the virtual environment in real time. After these operational data are transmitted to the main control terminal via the wireless transmission module, the nursing operation standard program performs real-time logical verification on the continuity of the actions, the sequence of operation steps, and key action parameters (such as whether the puncture angle is within the standard range of 15-30 degrees, whether the wiping trajectory of the disinfectant cotton swab is spiral, etc.). If the operator's hand shakes too much, causing the virtual needle to deviate from the center of the blood vessel, or if the disinfection step is not completed before puncturing, the system will immediately issue vibration prompts of different frequencies through the vibration feedback module of the VR controller, and pop up a red warning icon and text description on the display.

[0025] The nursing operation procedures stored in the memory include standardized operating procedures for different nursing scenarios, behavioral guidelines for contaminated and clean areas, and a virtual training module for donning and doffing personal protective equipment. The standardized operating procedure module, specifically for core operations common in isolation wards such as intravenous infusion, arterial blood gas sampling, and tracheotomy care, constructs an operation logic tree containing over 200 sub-steps. Each sub-step is associated with 3-5 key action parameter thresholds. For example, the intravenous infusion module is detailed into 12 main steps, such as "verifying doctor's orders → assessing the patient → selecting a vein → skin disinfection → puncture and needle insertion → observing blood return → fixing the needle → connecting the infusion set → adjusting the drip rate → recording and monitoring." Each main step includes specific operational requirements such as "wiping with a disinfectant cotton swab in a spiral motion around the puncture point, with a diameter of not less than 5cm and a wiping time of not less than 15 seconds." The system calculates the operation standard score by comparing the user's action data with the preset parameters. The contaminated and clean zone behavior module uses spatial coordinate division technology to set clear area boundaries in the virtual isolation ward. When a user wearing personal protective equipment crosses the area boundary (e.g., entering a potentially contaminated area from a clean area without changing outer gloves) or performs unnecessary operations in the contaminated area (e.g., touching their face), the system triggers a real-time voice warning, "You have entered the contaminated area, please operate correctly," and projects a red warning circle on the ground to mark the violation location. The personal protective equipment donning and doffing module uses 3D model collision detection technology to simulate the donning sequence and fit of different protective equipment. For example, when donning protective clothing, the sequence must be completed first: "wear medical protective mask → wear cap → wear protective clothing → wear goggles → wear inner gloves → wear waterproof boot covers → wear outer gloves." Specifically, the donning and doffing process can be modeled as a finite state machine, with each step being a state. User actions (e.g., "picking up gloves") trigger state transitions. If a user skips a step (e.g., putting on clothing without washing hands), the system records the error and provides a prompt. The system judges whether the wearing is standardized by recognizing details such as the fit between the glove model and the wrist model and whether the protective clothing zipper is fully closed. During the removal process, it focuses on monitoring high-risk actions such as "avoiding contact with the contaminated surface when removing the outer glove" and "not touching the front of the lens with both hands when removing the goggles". If a virtual collision is detected between the finger model and the contaminated surface, the current operation is immediately frozen and the correct removal and disassembly animation is displayed.

[0026] like Figure 2-3As shown, based on the above training system, a virtual simulation-based nursing training method for isolation wards is provided, including: S1: Based on the modeling module, multi-dimensional information of the target isolation ward is collected, and a high-fidelity, interactive three-dimensional virtual isolation ward environment model is generated and stored in the memory; S2: Through the operation module, the three-dimensional virtual isolation ward environment model and preset nursing training tasks are presented to the trainees; real-time operation data of the trainees during task execution are captured using a motion capture device; S3: The captured real-time operation data is mapped to the corresponding roles or tools in the virtual environment, and the nursing operation standard program in the memory is retrieved to compare and verify the logic, sequence, and spatial position of the operation actions in real time; S4: Based on the verification results, real-time visual, auditory, or tactile feedback is provided to the trainees through the display of the operation module, and a comprehensive training evaluation report containing data on operation standardization, step completeness, and time consumption is generated after the task is completed.

[0027] This method achieves seamless integration of theoretical teaching and practical operation by deeply integrating virtual simulation technology with the nursing scenario of isolation wards. In step S1, the modeling module not only collects the physical space parameters of the ward but also integrates professional information such as the layout of medical equipment, the division of disinfection areas, and airflow direction, ensuring that the generated 3D model is highly consistent with the real isolation ward in terms of structural details and functional logic. For example, key elements such as the markings of the isolation gown donning and doffing area and the pressure indicator device of the negative pressure ward are accurately reproduced. In step S2, the nursing training tasks presented by the operation module cover the entire process from patient reception and vital sign monitoring to contaminant treatment. The motion capture device uses multi-node tracking technology to capture the trainee's fine hand movements (such as the finger flexion and extension angles when wearing gloves) and body postures (such as limb coordination when wearing protective clothing), ensuring the accuracy of the operation data. In the comparison and verification stage of step S3, the system's built-in nursing operation standard program is built based on the latest clinical guidelines and can make millisecond-level response judgments on the step sequence of the "seven-step handwashing technique" and the spatial range of item transfer in aseptic operations. If an operational deviation occurs, the feedback mechanism is triggered immediately. The feedback and evaluation function in step S4 not only provides real-time prompts for operational errors, but also generates a dynamic evaluation report after the task is completed. This report includes a standardization score for each operational step, an analysis of any omissions in the steps, and a comparison curve of the time taken with the standard operation. This helps trainees to intuitively understand their weaknesses and provides training instructors with personalized teaching guidance, effectively improving the efficiency and quality of nursing training in isolation wards.

[0028] In this embodiment, S1 specifically includes: S1.1: acquiring multi-angle and all-round image and spatial data of the real isolation ward through an image collector; S1.2: performing three-dimensional reconstruction of the acquired data by a modeling processor to accurately restore the ward structure, medical equipment model and ventilation system path; S1.3: configuring interactive hotspots, task triggering areas and logical boundaries of contaminated and clean areas in the reconstructed three-dimensional scene based on the nursing operation standard procedure.

[0029] In S1, the image collector employs a combination of an 8K ultra-high-definition camera and a LiDAR system. The camera captures detailed images such as wall textures and equipment surface markings, while the LiDAR accurately records spatial scale data at a frequency of 30 frames per second, ensuring data coverage of all functional areas within the ward (including restrooms, treatment preparation tables, and medical staff corridors). After receiving the raw data, the modeling processor first removes environmental interference points using a point cloud denoising algorithm, and then uses Poisson surface reconstruction technology to generate a continuous 3D mesh model. The modeling accuracy of the medical equipment model is controlled within ±2mm, clearly presenting operational details such as knob markings and interface positions. When configuring interactive hotspots, the system sets trigger-based interactive nodes in the 3D scene according to the nursing process logic (such as "protective clothing must be put on before entering the ward"). For example, the protective clothing storage cabinet is set as the "task start trigger area". When the trainee's virtual character approaches this area, the donning task is automatically activated. The logical boundary between the contaminated area and the clean area is marked with dynamic colors. The contaminated area is displayed as a red gradient boundary, and the clean area is displayed as a blue boundary. The boundary has a collision detection function. If the virtual character carries contaminated items across the boundary, the system will immediately determine that the operation is in violation and record the location coordinates.

[0030] In this embodiment, S2 includes at least the following preset nursing training tasks: personal protective equipment (PPE) doffing and doffing procedures, aseptic operation techniques in wards, virtual operation of medical equipment, patient transfer simulation, and standardized medical waste disposal procedures. During the execution of the nursing training tasks, the system only tracks the trainee's virtual operation behavior data in real time, including the operation sequence, action trajectory, time spent on key steps, and frequency of interaction with virtual objects, without including logical verification functions. For example, in the personal protective equipment (PPE) donning and doffing procedure drills, the system only records the execution of the operational steps; for aseptic operation techniques in wards, such as intravenous infusion simulation, the system constructs a 3D scene including elements such as a virtual patient's arm, infusion set, disinfectant swabs, and tourniquet. The trainee's motion capture device completes a series of operations such as disinfecting the skin, controlling the puncture angle, fixing the needle, and adjusting the drip rate. The system only records the operation process data; the virtual operation of medical equipment is based on the high-precision 3D model of the medical equipment constructed above. The trainee simulates the operation of the ventilator mode switching and parameter adjustment through interactive methods such as clicking and dragging. The system only provides feedback on the parameter change curve and equipment operating status after the operation, without performing parameter safety range verification.

[0031] In this embodiment, the logical verification in S3 includes sequence verification, area verification, and operation integrity verification. Sequence verification determines whether the trainee's operation steps conform to the preset sequence of procedures; area verification determines whether the trainee's virtual role or tool violates the behavioral norms between contaminated and clean areas; operation integrity verification determines whether key operation actions are performed correctly. Sequence verification is achieved by comparing the trainee's actual operation step sequence with the system's built-in standard nursing procedure step library in real time. For example, in the personal protective equipment (PPE) donning procedure, the standard procedure requires hand hygiene first, followed by donning a hat, mask, protective clothing, goggles, gloves, and shoe covers in sequence. If the system detects that the trainee has not performed hand hygiene before donning a mask, or has performed hand hygiene after donning protective clothing, the sequence verification module immediately triggers an error prompt and guides the trainee to correct the operation sequence deviation in the virtual scene by highlighting step nodes and providing voice warnings. For area verification, the system divides the virtual environment into contaminated, potentially contaminated, and clean areas based on a three-dimensional spatial model of the isolation ward, and sets dynamic behavioral boundaries for each area. When a trainee's virtual character or handheld virtual tool crosses the boundary of an area, such as entering a clean area directly from a contaminated area without undergoing disinfection, the system uses real-time spatial coordinate detection technology to detect the violation. Simultaneously, a red warning box is displayed at the edge of the interface, and the current operation is paused until the trainee removes the virtual character or tool to a compliant area. Operation integrity verification sets quantitative evaluation indicators for key actions in nursing procedures. Taking intravenous infusion simulation as an example, the system presets that skin disinfection requires a spiral wiping motion centered on the puncture point with a diameter of no less than 5 cm, a wiping time of no less than 3 seconds, and a puncture angle controlled within the range of 15-30 degrees. When fixing the needle, two strips of tape must be used in a crisscross or parallel manner to secure it and cover the needle wings. The system uses motion trajectory recognition and time threshold judgment. If the trainee only performs simple local wiping or the puncture angle is too large / too small, the integrity verification module will generate a detailed action defect report, including the specific non-compliant operation, the degree of deviation (e.g., the disinfection area is only 60% of the standard), and improvement suggestions.

[0032] The foregoing description of specific exemplary embodiments of the present invention is for illustrative and explanatory purposes. These descriptions are not intended to limit the invention to the precise forms disclosed, and it is obvious that many changes and variations can be made based on the above teachings. Although embodiments of the invention have been shown and described, these specific embodiments are merely explanations of the invention and are not intended to limit it. The specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. The purpose of selecting and describing exemplary embodiments is to explain the specific principles of the invention and its practical application, so that those skilled in the art, after reading this specification, can make modifications, substitutions, variations, and various choices and changes to the embodiments as needed without departing from the principles and spirit of the invention, provided that such modifications, substitutions, variations, and choices and changes are within the scope of the claims of the invention and are protected by patent law.

Claims

1. A virtual simulation-based training system for nursing care in isolation wards, characterized in that, include: The operation module provides trainees with an interactive interface and operation entry point, including an operator and a display. The modeling module, which is communicatively connected to the operation module, is used to construct a virtual isolation ward environment; The modeling module includes an image collector and a modeling processor; the image collector is used to collect multi-dimensional information from real isolation wards. The modeling processor is used to receive and process the multi-dimensional information to generate a corresponding three-dimensional virtual ward model; the simulation module is communicatively connected to the operation module and the modeling module to drive and manage the training process; the simulation module includes a memory and a motion capture device; the memory is used to store the three-dimensional virtual ward model, nursing operation procedures and trainee data; the motion capture device is used to capture the trainee's operation actions in real time.

2. The virtual simulation-based isolation ward nursing training system according to claim 1, characterized in that, The multi-dimensional information collected by the image collector includes: the internal spatial structure and layout of the ward, the types and locations of internal medical equipment, the layout of external related equipment systems, and the structure and airflow parameters of the ward's ventilation duct system.

3. The virtual simulation-based isolation ward nursing training system according to claim 2, characterized in that, The image collector includes an acquisition lens and a stabilizing platform; the acquisition lens is rotatably connected to the stabilizing platform, which is used to maintain the attitude stability of the acquisition lens during shooting; the acquisition lens has adjustable optical parameters and a parameter locking function.

4. The virtual simulation-based isolation ward nursing training system according to claim 1, characterized in that, The modeling processor is integrated into the operation module. The processing includes: image stitching, point cloud reconstruction and 3D rendering of the collected multi-dimensional information to generate an interactive 3D virtual ward model that is consistent with the spatial scale and equipment position of the real ward.

5. The virtual simulation-based isolation ward nursing training system according to claim 4, characterized in that, The motion capture device is a wearable device or an optical capture device. The operation data captured by the motion capture device is mapped in real time onto virtual characters or tools in the three-dimensional virtual ward model and is subject to logical verification by the nursing operation standard procedure.

6. The virtual simulation-based isolation ward nursing training system and method according to claim 4, characterized in that, The nursing operation procedures stored in the memory include standardized operating procedures for different nursing scenarios, behavioral norms for contaminated and clean areas, and a virtual training module for wearing and removing personal protective equipment.

7. A training method for nursing care in isolation wards based on virtual simulation, characterized in that, The method, applied to the training system as described in any one of claims 1-6, comprises: S1: collecting multi-dimensional information of the target isolation ward based on the modeling module, and generating a high-fidelity, interactive three-dimensional virtual isolation ward environment model through processing, and storing it in the memory; S2: presenting the three-dimensional virtual isolation ward environment model and preset nursing training tasks to the trainee through the operation module; capturing real-time operation action data of the trainee during task execution using the motion capture device; S3: mapping the captured real-time operation action data to corresponding roles or tools in the virtual environment, and retrieving the nursing operation standard program in the memory to compare and verify the logic, sequence, and spatial position of the operation actions in real time; S4: providing real-time visual, auditory, or tactile feedback to the trainee through the display of the operation module based on the verification results, and generating a comprehensive training evaluation report containing operation standardization, step completeness, and time consumption data after the task is completed.

8. The method for training nursing care in isolation wards based on virtual simulation according to claim 7, characterized in that, S1 specifically includes: S1.1: acquiring multi-angle and all-round image and spatial data of the real isolation ward through the image collector; S1.2: the modeling processor performing three-dimensional reconstruction of the acquired data to accurately restore the ward structure, medical equipment model and ventilation system path; S1.3: in the reconstructed three-dimensional scene, configuring interactive hotspots, task triggering areas and logical boundaries of contaminated and clean areas based on the nursing operation standard procedure.

9. The method for training nursing care in isolation wards based on virtual simulation according to claim 7, characterized in that, In step S2, the preset nursing training tasks include at least: personal protective equipment donning and doffing procedures, aseptic operation techniques in wards, virtual operation of medical equipment, patient transfer simulation, and standardized medical waste disposal procedures.

10. The virtual simulation-based isolation ward nursing training system and method according to claim 7, characterized in that, The logical verification in step S3 includes: sequence verification: determining whether the trainee's operation steps conform to the preset process sequence; area verification: determining whether the trainee's virtual role or tool violates the behavioral norms between the contaminated area and the clean area; and operation integrity verification: determining whether the key operation actions are performed properly.

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