Intelligent maintenance cockpit for CBTC (Communication Based Train Control) vehicle-mounted equipment based on virtual reality
The CBTC on-board equipment intelligent maintenance cockpit, which combines virtual reality technology with real hardware operation, solves the problems of insufficient practical depth and poor interactivity in traditional training models, and achieves efficient and safe operation and maintenance training results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-16
- Publication Date
- 2026-04-03
AI Technical Summary
Current CBTC vehicle-mounted equipment maintenance training relies on traditional classroom lectures and low-simulation platforms, which lacks practical depth and interactivity, making it difficult to meet the high efficiency and accuracy requirements of intelligent maintenance.
Design a virtual reality-based CBTC vehicle-mounted intelligent maintenance cockpit that integrates a VR headset, integrated headphones, data gloves, force feedback devices, and a control host. Combined with a 3D display screen, it enables immersive interactive training and accurate assessment, and supports multi-view display and complex fault simulation.
Significantly improves training effectiveness, provides an immersive and interactive experience, accurately assesses trainees' operations, reduces training costs and equipment wear and tear risks, and enhances troubleshooting capabilities.
Smart Images

Figure CN224082098U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of rail transit operation and maintenance simulation training technology, and in particular to a CBTC on-board equipment intelligent maintenance cockpit based on virtual reality. Background Technology
[0002] Urban rail transit is a vital pillar of modern urban transportation, and its efficient and safe operation relies on advanced signal control systems. Communications-Based Train Control (CBTC) has become the core technology for rail transit signal control. However, due to its high integration and complexity, CBTC onboard equipment faces challenges in operation and maintenance, including high technical barriers, high training costs, and high failure risks.
[0003] Currently, CBTC on-board equipment maintenance training mainly relies on traditional classroom lectures and low-fidelity simulation platforms, resulting in insufficient practical depth and poor interactivity. Trainees typically gain limited experience through theoretical learning or simple operations, making it difficult to fully grasp the equipment's operating logic and methods for handling complex faults. This training model has significant limitations in terms of practicality and intuitiveness, failing to meet the demands of intelligent maintenance for efficiency and accuracy.
[0004] With the rapid development of virtual reality (VR) technology, using VR to build immersive virtual scenes to realistically simulate equipment operating status and fault scenarios, and to provide trainees with an interactive experience that closely resembles practical operation, has become an effective way to improve the effectiveness of operation and maintenance training.
[0005] Therefore, it is necessary to develop a virtual reality-based intelligent maintenance cockpit for CBTC in-vehicle equipment to address the aforementioned shortcomings. Utility Model Content
[0006] The purpose of this invention is to provide a virtual reality-based CBTC vehicle-mounted equipment intelligent maintenance cockpit to solve the problems of insufficient practical depth and poor interactivity caused by traditional classroom lectures and low-simulation simulation platforms.
[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:
[0008] This utility model discloses a CBTC (Consumer-Based Bus) vehicle-mounted intelligent maintenance cockpit based on virtual reality, comprising:
[0009] A lockable simulator cockpit;
[0010] A driving control console is installed inside the simulated cockpit; the driving control console is equipped with key control components for linkage with the virtual maintenance environment and to support the execution of physical operation commands;
[0011] A 3D display screen is fixedly connected to the side of the simulated cockpit near the driving control console. It is used to dynamically present the status of the train's onboard equipment, virtual fault information and maintenance guidance interface, real-time feedback and evaluation results of the operation process, and multi-view dynamic playback screens to show the equipment structure and key component details and realize synchronous data updates.
[0012] The control unit is located below the driving console and is connected to the driving console cable;
[0013] The seat and a seat base for adjusting the height and fore-aft position of the seat, the seat being connected to the bottom of the simulated cockpit via the seat base, and the seat being spaced apart from the driving console;
[0014] A VR headset is mounted above the seat and wirelessly connected to the control host to present a virtual maintenance scenario.
[0015] An integrated headset is connected to the VR headset to provide audio feedback and output immersive sound effects in conjunction with the virtual scene.
[0016] A data glove holder is connected to the inner wall of the simulated cockpit;
[0017] The data glove is hung on the data glove rack. The data glove integrates a force feedback device, which is wirelessly connected to the control host. It is used to simulate the tactile feedback of button pressing, knob turning, and equipment disassembly and assembly, and to capture the trainee's hand movements.
[0018] Furthermore, the key control components include at least switches, handles, buttons, and knobs arranged at intervals.
[0019] Furthermore, the control host integrates an operation acquisition module, a data analysis module, a dynamic playback module, a standardized fault database, a storage module, and a wireless communication module.
[0020] The operation acquisition module is used to capture the trainee's maintenance operation actions and record the operation data.
[0021] The data analysis module analyzes the collected operation data and generates operation scores and optimization suggestions;
[0022] The dynamic playback module supports playback of the operation process and provides a three-dimensional dynamic display;
[0023] The standardized fault database is used to store preset fault scenarios and provide equipment fault simulation and maintenance guidance.
[0024] The storage module is used to save operation records, analysis results and training evaluation data, and supports data storage and backup functions.
[0025] The wireless communication module is used to realize wireless data transmission between the control host, VR devices and external systems, and supports real-time interaction and remote connection.
[0026] Furthermore, it also includes an interactive toolbox set up in the virtual repair environment, which includes screwdrivers, multimeters, and wrenches to support trainees in completing repair tasks.
[0027] This utility model has the following beneficial effects:
[0028] 1. Immersive Interactive Experience: This utility model uses a combination of VR headset, integrated headphones, data gloves and force feedback devices to simulate the tactile sensation of real equipment operation and troubleshooting scenarios, providing trainees with immersive interactive training and significantly improving training effectiveness.
[0029] 2. The 3D display screen in this utility model supports multi-mode dynamic display, which can present the train operation status, equipment fault information, maintenance guidance interface and operation evaluation results. It also has a multi-view switching function, which can dynamically display the internal structure of the equipment, the overall operation status and key component details, helping trainees to fully understand the overall picture of the equipment.
[0030] 3. Precise assessment and feedback: The control host of this utility model integrates an operation acquisition module and a data analysis module. Combined with machine learning algorithms, it captures the trainees' operation data in real time, generates personalized scores, problem identification and improvement suggestions, provides targeted guidance to trainees, and improves the accuracy and effectiveness of training.
[0031] 4. Complex Fault Simulation: The standardized fault library in this invention pre-sets various complex fault scenarios (such as communication failure, module damage, etc.), provides step-by-step maintenance guidance, helps trainees master the handling methods of complex maintenance tasks in a safe environment, and comprehensively improves their fault handling capabilities.
[0032] 5. Dynamic playback and review: This utility model system supports three-dimensional dynamic playback function, which can trace back the entire operation process of the trainee, highlighting key actions and operation steps, so as to facilitate trainees' review and learning and skill optimization, and continuously improve their practical ability.
[0033] 6. Low cost and high security: This utility model significantly reduces reliance on actual equipment and training costs by deeply integrating virtual maintenance scenarios with hardware operations, while avoiding the risk of equipment damage and ensuring a safe and efficient training process. Attached Figure Description
[0034] Figure 1 This is a schematic diagram of the internal structure of the intelligent maintenance cockpit for CBTC vehicle-mounted equipment based on virtual reality, according to this utility model.
[0035] Figure 2This is a three-dimensional structural diagram of the VR headset and integrated headphones in this utility model;
[0036] Figure 3 This is a three-dimensional structural diagram of the back of the hand in the data glove of this utility model;
[0037] Figure 4 This is a three-dimensional structural diagram of the palm side of the data glove in this utility model;
[0038] Figure 5 This is a schematic diagram showing the connection relationship of each module in the control host of this utility model.
[0039] Reference numerals: 1. Simulated cockpit; 2. Seat; 3. Seat base; 4. VR headset; 5. Integrated headset; 6. Data glove holder; 7. Data glove; 8. Driving console; 9. Key control components; 10. 3D display screen; 11. Control host; 12. Force feedback device. Detailed Implementation
[0040] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention.
[0041] In the description of this utility model, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.
[0042] This invention proposes a CBTC on-board intelligent maintenance cockpit that integrates virtual reality technology, real hardware operation, and intelligent interaction. It can not only effectively solve the limitations of traditional training, but also significantly reduce training costs, providing an efficient overall solution for the operation and maintenance training of intelligent rail transit.
[0043] Please see Figure 1-5 This invention proposes a virtual reality-based intelligent maintenance cockpit for CBTC onboard equipment, applicable to the operation and maintenance training of CBTC onboard signaling equipment in rail transit. It includes: a secluded simulation cockpit 1, which features excellent sound insulation and an immersive experience, integrating the hardware required for maintenance operations and a virtual reality interactive system to provide trainees with a simulated environment.
[0044] The driving console 8 is installed inside the simulated cockpit 1; key control components 9 are provided on the driving console 8 for linkage with the virtual maintenance environment to support the execution of physical operation instructions. Specifically, the driving console 8 is located in front of the seat and consists of an integrated panel, including multiple key control components 9 (such as switches, buttons, knobs, handles, etc.). These physical components are linked with the virtual maintenance environment to support equipment restart, mode switching, and function operations, and provide real physical feedback.
[0045] The 3D display screen 10 is fixedly connected to one side of the simulated cockpit 1 near the driving console 8, and is used to dynamically present the status of train on-board equipment, virtual fault information and maintenance guidance interface, real-time feedback and evaluation results of the operation process, multi-perspective dynamic playback images, display the equipment structure and key component details, and achieve data synchronization and update. Specifically, the 3D display screen is installed in the front part of the simulated cockpit, supporting multi-mode display functions, and can dynamically present the train operation status, equipment fault information, maintenance guidance interface, and operation evaluation results. The display screen has a multi-perspective switching function, can display the internal structure, operation status, and key component details of the equipment, and realizes data synchronization and update with the control host, facilitating teaching monitoring and review learning.
[0046] The seat 2 and the seat base 3 for adjusting the height and front-back position of the seat 2. The seat 2 is connected to the bottom of the simulated cockpit 1 through the seat base 3, and the seat 2 is arranged at an interval from the driving console 8; specifically, the seat 2 is designed according to ergonomics, and the seat backrest and seat cushion fit the human body curve to relieve operation fatigue. The seat base 3 is fixedly connected to the cockpit and supports height and front-back adjustment to meet the usage needs of different trainees.
[0047] The VR headset 4 is arranged above the seat 2 and is wirelessly connected to the control host 11, and is used to present virtual maintenance scenarios, including equipment status, fault information, maintenance scenarios, and maintenance guidance.
[0048] An interactive toolbox is set in the virtual maintenance environment. The toolbox includes a screwdriver, a multimeter, and a wrench. Trainees can operate virtual tools through data gloves to complete complex maintenance tasks such as equipment disassembly, installation, and testing, enhancing the immersion and interactivity of maintenance training.
[0049] The integrated earphone 5 is integrally connected to the VR headset 4 and is used to provide audio feedback and output immersive sound effects in linkage with the virtual scene.
[0050] The data glove hanger 6 is connected to the inner wall of the simulated cockpit 1.
[0051] The data glove 7 is hung on the data glove rack 6. The data glove 7 integrates a force feedback device 12, which is wirelessly connected to the control host 11. This device simulates the tactile feedback of button pressing, knob turning, and equipment assembly / disassembly, capturing the trainee's hand movements. When not in use, the data glove 7 can be placed on the data glove rack 6. When in use, the force feedback device simulates the torque of knobs, the pressing of buttons, and the feel of latches and resistance during equipment assembly / disassembly, providing trainees with a highly realistic operating experience.
[0052] The control host 11 is located below the driver's console 8 and is connected to the driver's console 8 by a cable; the control host 11 integrates an operation acquisition module, a data analysis module, a dynamic playback module, a standardized fault database, a storage module, and a wireless communication module.
[0053] The operation acquisition module is used to capture the trainee's maintenance operation actions through the data glove 7 and key control components 9, including hand movement trajectories and physical control operations, and record operation data in real time.
[0054] The data analysis module combines machine learning algorithms to analyze operational data, generate operational scores, problem identification, and improvement suggestions, supports historical operational data analysis, and provides trainees with personalized training programs.
[0055] The dynamic playback module supports 3D dynamic playback, allowing students to review their operation process, including key steps and hand movements, to help them reflect on their learning and optimize their skills.
[0056] The standardized fault library pre-sets various common equipment fault scenarios (such as communication failures, module damage, etc.), supports simulation of complex fault scenarios and step-by-step maintenance guidance, and provides step-by-step maintenance guidance for trainees to complete complex maintenance tasks in a safe environment. Trainees can use the toolbox to complete fault diagnosis and maintenance in the virtual environment.
[0057] The storage module is used to save operation records, analysis results, and training evaluation data. It supports data storage and backup functions to facilitate subsequent teaching analysis and review.
[0058] The wireless communication module is used to realize data transmission between the control host 11 and hardware such as the VR headset 4, 3D display screen 10, and data glove 7, so as to ensure synchronous interactive feedback between the virtual maintenance environment and physical operation.
[0059] This invention utilizes a VR headset, integrated headphones, data gloves, and force feedback devices to simulate the tactile sensations of real equipment operation and fault handling scenarios, providing trainees with immersive interactive training and significantly improving training effectiveness. The 3D display screen supports multi-mode dynamic display, presenting train operation status, equipment fault information, maintenance guidance interfaces, and operation evaluation results. It also features multi-view switching capabilities, dynamically displaying the internal structure, overall operating status, and details of key components, helping trainees fully understand the equipment. The control host integrates an operation acquisition module and a data analysis module, combining machine learning algorithms to capture trainees' operational data in real time, generating personalized scores, problem identification, and improvement suggestions, providing targeted guidance and improving the accuracy and effectiveness of training. The standardized fault database pre-sets various complex fault scenarios (such as communication failures and module damage), providing step-by-step maintenance guidance to help trainees master complex maintenance tasks in a safe environment, comprehensively improving their fault handling capabilities. The system supports 3D dynamic playback, allowing trainees to review the entire operation process, highlighting key actions and steps, facilitating review and skill optimization, and continuously improving practical skills. This invention significantly reduces reliance on actual equipment and training costs by deeply integrating virtual maintenance scenarios with hardware operations, while avoiding the risk of equipment damage and ensuring a safe and efficient training process.
[0060] This invention provides an efficient, low-cost, and safe training method for the maintenance of CBTC onboard equipment in rail transit by combining real cockpit hardware with a virtual maintenance scenario. The system not only significantly improves trainees' equipment maintenance and emergency response capabilities but also boasts excellent adaptability and scalability, meeting diverse training needs. The cockpit in this invention integrates real hardware with a virtual maintenance scenario, significantly enhancing trainees' equipment maintenance skills and emergency response capabilities, strengthening the relevance and efficiency of training, reducing costs and equipment maintenance risks, and providing innovative support for the intelligent operation and maintenance development of CBTC onboard signaling equipment in rail transit.
[0061] This embodiment provides a working method for a virtual reality-based CBTC in-vehicle intelligent maintenance cockpit, as detailed below:
[0062] The trainee enters the simulator cockpit 1 and sits in seat 2, adjusting the seat position and height to ensure operational comfort and stability. Wearing a VR headset 4 and integrated headphones 5, the system connects to the control host 11 via wireless communication module 14, presenting a virtual maintenance scenario in real time, displaying equipment status, fault information, and maintenance instructions. The trainee removes data gloves 7 from the data glove rack 6 and puts them on. The force feedback device 12 inside the data gloves simulates the tactile, resistance, and vibration feedback of real operation, such as button pressing, knob turning, and the feel of fastening and disassembly. Operational data is transmitted to the control host 11 via the wireless communication module, interacting with the virtual maintenance environment in real time. The trainee uses key control components 9 (buttons, switches, knobs) on the driving console 8 to perform operations such as restarting equipment and switching modes; physical operations are synchronously reflected in the virtual environment. The 3D display screen 10 dynamically displays fault status, maintenance steps, operation results, and evaluation data, supporting multi-view dynamic playback for easy viewing of operational details. The control host 11's operation acquisition module records trainees' operation data in real time. The data analysis module analyzes the data, generates operation scores, problem identification, and improvement suggestions, and provides feedback on the display screen. Trainees can use the dynamic replay module to review the entire operation process, identify shortcomings, and optimize their skills. Furthermore, a standardized fault library provides fault simulation scenarios and step-by-step repair guidance. Trainees complete repair tasks using a virtual toolbox, improving their fault diagnosis and repair capabilities. The storage module records operation data, analysis results, and fault solutions, supporting subsequent teaching and analysis, ensuring an efficient and reviewable training process.
[0063] This utility model integrates real hardware with virtual maintenance scenarios, providing an immersive maintenance training experience. It features high scalability, low maintenance costs, and good adaptability, and is suitable for intelligent operation and maintenance training of CBTC on-board signaling equipment in rail transit.
[0064] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.
[0065] The embodiments described above are merely preferred embodiments of the present utility model and are not intended to limit the scope of the present utility model. Various modifications and improvements made to the technical solutions of the present utility model by those skilled in the art without departing from the spirit of the present utility model should fall within the protection scope defined by the claims of the present utility model.
Claims
1. A virtual reality-based CBTC onboard equipment intelligent maintenance cockpit, characterized in that, The utility model relates to a virtual maintenance training system, comprising: a closeable simulation cockpit; a driving console installed in the simulation cockpit, with key control components arranged thereon for interaction with the virtual maintenance environment to support the execution of physical operation instructions; a 3D display screen fixedly connected to one side of the simulation cockpit near the driving console, for dynamically presenting train-mounted equipment status, virtual fault information and maintenance guidance interface, real-time feedback and evaluation results of operation process, multi-view dynamic playback picture, device structure and key component details, and realizing data synchronous update; a control host set below the driving console and wired to the driving console; a seat and a seat base for height and front-back adjustment of the seat, the seat being connected to the bottom of the simulation cockpit through the seat base, the seat being spaced apart from the driving console; a VR head-mounted display set above the seat and wirelessly connected to the control host, for presenting a virtual maintenance scene; an integrated earphone integrally connected to the VR head-mounted display, for providing audio feedback and outputting immersive sound effects in interaction with the virtual scene; a data glove hanger connected to the inner wall of the simulation cockpit; a data glove hung on the data glove hanger, the data glove being integrated with a force feedback device, the force feedback device being wirelessly connected to the control host, for simulating the tactile feedback of button pressing, knob twisting and device disassembly, and capturing the hand action of the trainee.
2. The virtual reality based CBTC on-board equipment intelligent maintenance cockpit for CBTC, according to claim 1, wherein, The key control components at least include switches, handles, buttons and knobs arranged at intervals.
3. The virtual reality based CBTC on-board equipment intelligent maintenance cockpit for CBTC, according to claim 1, wherein, The control host is integrated with an operation acquisition module, a data analysis module, a dynamic playback module, a standardized fault library, a storage module and a wireless communication module, wherein the operation acquisition module is used for capturing the maintenance operation action of the trainee and recording operation data; the data analysis module analyzes the collected operation data to generate operation scores and optimization suggestions; the dynamic playback module supports the playback of the operation process and provides three-dimensional dynamic display; the standardized fault library is used for storing preset fault scenes to provide device fault simulation and maintenance guidance; the storage module is used for saving operation records, analysis results and training evaluation data to support data storage and backup functions; the wireless communication module is used for realizing wireless data transmission between the control host and VR devices and external systems to support real-time interaction and remote connection.
4. The virtual reality based CBTC on-board equipment intelligent maintenance cockpit for CBTC, according to claim 1, wherein, Further comprising an interactive tool box arranged in the virtual maintenance environment, the tool box containing a screwdriver, a multimeter and a wrench to support the trainee to complete the maintenance task.