An operation platform for subway electric passenger train driver simulation training

Abstract

The utility model discloses a kind of operation platform for subway electric passenger train driver simulation training, including simulation console module, visual display module, data acquisition control module, instructor control module, sound simulation module and auxiliary equipment, data interaction is realized between each module through network switch.The utility model is designed in parallel through two independent training stations, break away from the dependence on real train and line, substantially increase practical operation opportunity, improve training efficiency;Rely on full simulation operation environment, avoid the damage of equipment and safety accident caused by student misoperation, realize zero-risk training;With the function of multi-scene simulation of visual system and instructor flexible setting fault, fill the blank of complex scene that traditional training cannot cover, strengthen student emergency handling ability, in addition, through the accurate evaluation of "operation data quantization+picture traceback", further optimize training quality, solve traditional training pain point comprehensively.

Description

Technical Field

[0001] This utility model relates to the field of subway train driver training technology, and in particular to an operating platform for subway train driver simulation training. Background Technology

[0002] The driving skills and emergency response capabilities of metro train drivers are directly related to train operation safety. Traditional training methods mainly rely on theoretical teaching and a small amount of hands-on training on real trains. However, hands-on training on real trains has many limitations: 1. Limited opportunities for hands-on training, affected by factors such as train scheduling and track occupancy, making it difficult to meet the needs of large-scale training; 2. High training risks, as trainee operational errors may lead to equipment damage or safety accidents; 3. Inability to simulate complex faults and extreme weather scenarios, resulting in a lack of targeted emergency training for trainees. In view of the above, this application proposes an operating platform for simulation training of metro train drivers. Utility Model Content

[0003] The purpose of this utility model is to address the shortcomings of existing technologies by proposing an operating platform for simulation training of subway train drivers.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: An operating platform for simulation training of subway train drivers includes a simulation control panel module, a visual display module, a data acquisition and control module, an instructor control module, a sound simulation module, and auxiliary equipment. The modules interact with each other through a network switch. The simulation control panel module includes two independent training workstations; The visual display module includes a front-facing LCD screen, a side / platform-facing LCD screen, and a visual computer. The data acquisition and control module includes a distributed data acquisition and control unit, a dedicated interface power supply, and an I / O industrial control computer. The instructor control module includes an instructor computer, an instructor monitor, and instructor and student monitoring tables and chairs, with an instructor CCTV monitor installed on the instructor and student monitoring tables and chairs. The sound simulation module includes high-fidelity headphones; The auxiliary equipment includes surveillance cameras, digital video recording equipment, and a cabinet. There are four surveillance cameras, which are connected to the instructor's CCTV monitor to capture the students' operation process.

[0005] Preferably, the independent training station is equipped with a driver controller, vehicle information display, vehicle signal display, instruments, switches, buttons, indicator lights and vehicle communication equipment that are consistent with those of a real subway train. The independent training station is also equipped with a 1:1 scale emergency control panel, whose panel layout and color match those of a real train emergency control panel.

[0006] Preferably, the forward-facing LCD screen is 56 inches, and there are four side / platform-facing LCD screens. The visual computer adopts a graphics workstation and constructs a visual system that includes mainline, crossover, and turnaround lines through computer-generated image technology. This includes, but is not limited to, static scenes such as tracks, tunnels, platforms, signals, and speed limit signs, as well as dynamic scenes such as trains and pedestrians. The visual system also supports the instructor's control of environmental parameters and can simulate changes in weather such as fog, rain, and snow, as well as changes in signal light status and sudden event triggering scenarios, while meeting high precision requirements. The graphics workstation specifications of Vision Computers meet the following requirements: Intel® i5 CPU, 16GB DDR4 memory, 1TB SATA hard drive, equipped with ZOTAC RTX2060 4GB graphics processor, display resolution of 2048*1536, and pre-installed Windows operating system and professional graphics processing software.

[0007] Preferably, the data acquisition and control module is used to acquire the operation data of the simulation console module in real time and transmit it to the visual computer and the instructor control module.

[0008] Preferably, the visual computer has a built-in visual database with a total number of triangles of no less than 1 million and a total number of textures of no less than 512MB. The number of visible triangles in each frame of the visual frustum is no less than 100,000 and the number of textures is no less than 64MB. It also has full-screen anti-aliasing function.

[0009] Preferably, the instructor computer supports both offline and online operating modes: in offline mode, course editing, fault information management, student information entry, and training record storage can be performed; in online mode, the operating status of each training station can be monitored in real time, track gradient, curve radius, and train load operating conditions can be set, faults and abnormal items can be added or deleted, and the student's operating performance can be observed through the monitoring camera to achieve comprehensive control over the training process. Furthermore, the instructor's computer configuration must meet the following requirements: CPU is i5-6400, memory is ≥8GB, hard disk is ≥1TB, equipped with two ≥21-inch LCD flat panel displays, display color depth is ≥24bits, contrast ratio is ≥2500:1, and response time is ≤25ms.

[0010] Preferably, there are two high-fidelity headphones used to reproduce the track sounds, wind sounds, whistle sounds, electrical engagement sounds, braking sounds, and station announcement sounds during train operation. The surveillance camera is used to capture the trainees' operation process, the digital video recording device is used to store training videos for later review, the cabinet is used for equipment integration and installation, and the network switch is integrated into the cabinet, saving space and facilitating maintenance.

[0011] Preferably, the operating platform also includes an in-vehicle communication device, which is integrated into the simulation control panel module. The in-vehicle communication device supports voice calls between students and between students and instructors, and can also achieve cross-scenario communication with other training rooms.

[0012] Compared with existing technologies, the beneficial effects of this utility model are: 1. By setting up two independent training stations, without relying on the simulation mode of real trains and lines, "24-hour uninterrupted training" can be achieved. The hardware such as the driver controller and emergency control panel in the station is consistent with the real train. Trainees can conduct practical training such as driving operation and signal recognition at any time without waiting for train dispatch. Moreover, instructors can manage two stations at the same time through the online mode and publish training courses in batches. Compared with the inefficient mode of traditional "one trainee per car", the training efficiency is improved by at least 2 times, effectively solving the contradiction between large-scale training needs and insufficient practical resources. 2. By completing all operations within the simulation system, there is no wear and tear on the actual train hardware. Even if trainees make mistakes such as "misoperation of braking" or "illegal horn blasting," only the system's scenario feedback is triggered, without causing actual equipment damage. At the same time, the data acquisition and control module captures the operation trajectory in real time. Instructors can promptly detect dangerous operations through the instructor's console CCTV monitor and remotely intervene to terminate improper operations, eliminating training safety hazards from the source and achieving "zero-risk, zero-loss" training. 3. The visual system supports weather simulations such as fog, rain, snow, and lightning. Combined with high-precision scenes including main lines, crossover lines, and turnaround lines, it can recreate realistic and complex scenarios such as "entering the station in heavy rain" and "signal malfunction in the tunnel," allowing trainees to become familiar with driving adjustment techniques under different environments. Instructors can freely add fault entries such as "brake failure," "door cannot be closed," and "traction system failure" in offline mode. In online mode, faults are triggered in real time, and trainees need to complete fault diagnosis and handling through emergency control consoles, vehicle communication equipment, etc. At the same time, the sound simulation module outputs fault alarm sounds and voice prompts, strengthening the emergency response memory of "scenario-operation-auditory" and significantly improving trainees' ability to handle emergencies. 4. The data acquisition and control module records data such as the driver's gear changes, button press sequence, and fault handling time in real time, forming a visual operation curve. Instructors can intuitively judge details such as "whether the timing of braking is reasonable" and "whether the signal recognition is timely" and adjust the training focus accordingly. In addition, it works in conjunction with 4 monitoring cameras and digital recording equipment to record the trainee's operation process completely. After training, the operation data can be used to review "whether the fault handling steps are standardized" and "whether the emergency control panel is used correctly". This avoids the drawbacks of traditional assessments that "only look at the results and ignore the process", and achieves a dual accurate assessment of "process + result", helping trainees quickly make up for their skill gaps. This invention utilizes a parallel design with two independent training stations, eliminating reliance on real trains and tracks, significantly increasing hands-on opportunities and improving training efficiency. Relying on a fully simulated operating environment, it avoids equipment damage and safety accidents caused by trainee misoperation, achieving zero-risk training. By leveraging the multi-scenario simulation of the visual system and the instructor's ability to flexibly set faults, it fills the gap in traditional training's inability to cover complex scenarios, strengthening trainees' emergency response capabilities. Furthermore, through precise evaluation using "quantified operation data + screen traceability," it further optimizes training quality, comprehensively addressing the pain points of traditional training. Attached Figure Description

[0013] Figure 1 This utility model presents a system block diagram of an operating platform for simulation training of subway train drivers. Detailed Implementation

[0014] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments.

[0015] Reference Figure 1 A simulation training platform for subway train drivers includes a simulation control panel module, a visual display module, a data acquisition and control module, an instructor control module, a sound simulation module, and auxiliary equipment. The modules interact with each other via a network switch. The simulation control panel module includes two independent training stations. Each training station is equipped with a driver's controller, vehicle information display, on-board signal display, instruments, switches, buttons, indicator lights, and on-board communication equipment that are identical to those in a real subway train. Each training station also has a 1:1 scale emergency control panel with a panel layout and color that match the emergency control panel of a real train. The operating platform also includes vehicle-mounted communication equipment, which is integrated into the simulation control panel module. The vehicle-mounted communication equipment supports voice calls between students and between students and instructors, and can also achieve cross-scenario communication with other training rooms. The visual display module includes a front-facing LCD screen, a side / platform-facing LCD screen, and a visual computer; The system includes a 56-inch forward-facing LCD screen, four side / platform-facing LCD screens, and a graphics workstation for the visual computer. It uses computer-generated image technology to construct a visual system that includes mainline, crossover, and turnaround lines, including but not limited to static objects such as tracks, tunnels, platforms, signals, and speed limit signs, as well as dynamic objects such as trains and pedestrians. The visual system also supports instructors in controlling environmental parameters and can simulate changes in weather such as fog, rain, and snow, as well as changes in signal light status and sudden event triggering scenarios, while meeting high precision requirements. The graphics workstation of Vision Computer meets the following specifications: CPU is Intel® i5 processor, memory is 16GB DDR4, hard drive is SATA 1TB, equipped with ZOTAC RTX2060 4GB graphics processor, display resolution is 2048*1536, and pre-installed Windows operating system and professional graphics processing software. The visual computer has a built-in visual database with a total number of triangles of no less than 1 million and a total number of textures of no less than 512MB. The number of visible triangles in each frame of the visual frustum is no less than 100,000 and the number of textures is no less than 64MB. It also has full-screen anti-aliasing function. The data acquisition and control module includes a distributed data acquisition and control unit, a dedicated interface power supply, and an I / O industrial computer. The data acquisition and control module is used to acquire the operation data of the simulation console module in real time and transmit it to the visual computer and the instructor control module. The instructor control module includes an instructor computer, an instructor monitor, and instructor and student monitoring tables and chairs. The instructor and student monitoring tables and chairs are equipped with instructor CCTV monitors. The instructor's computer supports both offline and online operation modes: in offline mode, it can be used for course editing, fault information management, student information entry, and training record storage; in online mode, it can monitor the operation status of each training station in real time, set the track gradient, curve radius, and train load operating conditions, add or delete faults and abnormal items, and observe the students' operation performance through the monitoring camera to achieve comprehensive control over the training process. Furthermore, the instructor's computer configuration should meet the following requirements: CPU is i5-6400, memory is ≥8GB, hard disk is ≥1TB, equipped with 2 ≥21-inch LCD flat panel monitors, color depth is ≥24bits, contrast ratio is ≥2500:1, and response time is ≤25ms. The sound simulation module includes high-fidelity headphones; The high-fidelity headphones consist of two units, used to reproduce the sounds of the tracks, wind, whistles, electrical engagement, braking, and station announcements during train operation. The auxiliary equipment includes surveillance cameras, digital video recording equipment, and a cabinet. There are four surveillance cameras, which are connected to the instructor's CCTV monitor to capture the students' operation process. Surveillance cameras are used to capture trainees' operation process, digital video recording equipment is used to store training videos for later review, server racks are used for equipment integration and installation, and network switches are integrated into the server racks to save space and facilitate maintenance. This invention utilizes a parallel design with two independent training stations, eliminating reliance on real trains and tracks, significantly increasing hands-on opportunities and improving training efficiency. Relying on a fully simulated operating environment, it avoids equipment damage and safety accidents caused by trainee misoperation, achieving zero-risk training. By leveraging the multi-scenario simulation of the visual system and the instructor's ability to flexibly set faults, it fills the gap in traditional training's inability to cover complex scenarios, strengthening trainees' emergency response capabilities. Furthermore, through precise evaluation using "quantified operation data + screen traceability," it further optimizes training quality, comprehensively addressing the pain points of traditional training.

[0016] It should be noted that the visual computer is a commercially available general-purpose processor product. Its technical parameters conform to the processor technology standards published by Intel Corporation. It does not involve any innovative design in terms of structure or function. This processor is widely used in existing computer devices for graphics processing and data computing scenarios. Its role is to provide basic computing power support for the visual system and realize the real-time generation and rendering of visual images. This application method is consistent with the conventional solution of "graphics workstation equipped with general-purpose processor to realize data processing" in existing technology, and there is no novel design. The ZOTAC RTX 2060 4GB graphics processor is a commercially available general-purpose graphics processing device manufactured under license from NVIDIA. Its core architecture, memory capacity, number of rendering units, and other technical parameters are all publicly available specifications and have been successfully applied in existing game consoles, graphics workstations, and other devices. The function of this graphics processor is to perform computer-generated image (CGI) rendering calculations to meet the high-resolution display requirements of visual databases (≥1 million triangles). Its application principle is consistent with the conventional design of "improving graphics rendering efficiency through discrete graphics cards" in existing technologies. It does not improve the structure or function of the hardware itself and is also a conventional choice in existing technologies. The i5-6400 processor configured in the instructor's computer is a sixth-generation Core i5 series general-purpose processor released by Intel in 2015. Its technical parameters have been disclosed on Intel's official website and it is a mature existing processor product. The function of this processor in this application is to run the instructor system software to perform course editing and monitoring management programs, and to realize basic operations such as student information management and training data storage. Its application method is consistent with the conventional solution of "general-purpose computer equipped with i5 processor to execute office and management programs" in the existing technology, without any structural or functional innovation. The surveillance camera is preferably the Hikvision DS-IPC-B12H-I model, which is a commercially available general security monitoring device. Its technical parameters conform to the open standards of the security camera industry and it has been maturely applied in video surveillance scenarios. The purpose of this camera in this application is to capture the student's operation process. Its image acquisition principle and data transmission method are consistent with the conventional design of "surveillance camera capturing images and transmitting them to the display terminal" in the existing technology, without any improvement to the structure or function of the camera itself.

[0017] Working principle: When in use, the instructor enters offline mode through the instructor's computer and completes the basic configuration based on the training objectives. This includes course editing and fault and scenario setting. Course editing: Select the training type (such as "normal driving training" or "emergency handling of brake failure"), enter the line parameters (such as the main line gradient and curve radius of Shentie No. 2 Line) and train parameters (such as tare weight and load level). Fault and scenario setting: Add fault entries (such as brake system failure, signal failure) or extreme environments (fog, snow, thunderstorms) through the graphical interface, and set the triggering time (such as triggering a fault when the train travels to a specific section). Then the instructor switches to online mode and sends start commands to each module through the network switch. After receiving the command, the visual computer calls the built-in visual database, loads the preset line scenario, and the distributed data acquisition control unit of the data acquisition control module and the IO industrial control computer power on for self-test and calibrate the dedicated interface power output to ensure that the operation data acquisition delay is ≤10ms. At the same time, the high-fidelity headphones of the sound simulation module are initialized, and a signal connection is established with the visual computer and simulation control panel module, waiting to receive the sound effect trigger command. Next, trainees practice driving at their individual training stations. The hardware at these stations, identical to that of a real train, responds synchronously. Trainees operate the driver's controller to adjust traction / braking gears. Built-in sensors in the controller convert gear signals into electrical signals. They operate the vehicle information display and onboard signal display to view train operating parameters (such as speed and voltage). Pressing switches / buttons executes commands such as "door opening / closing" and "honking the horn," with indicator lights flashing synchronously to reflect the operating status. In emergency situations, emergency braking and fault reset are triggered via a 1:1 scale emergency control panel, with the LCD screen displaying the feedback. During the trainees' operation, a distributed data acquisition and control unit collects real-time data on the driver's controller gear position, switch status, and button presses through a customized interface. This data is then filtered and formatted by an IO industrial control computer. The standardized data is sent via a network switch to both the visual computer (driving changes in the visual scene) and the instructor's computer (for real-time monitoring of the operation trajectory), creating an "operation-data" mapping. The visual computer receives "traction" and "braking" operation data. It calculates the train acceleration using the "traction" operation data and drives the train model in the visual field to move along the track. The forward-facing visual LCD screen and the side / platform visual LCD screen simultaneously display the train's forward movement. Each frame contains ≥100,000 visible triangles, and the visual effect is optimized through full-screen anti-aliasing. The "braking" operation data calculates the deceleration, causing the train model in the visual field to slow down and triggering signal status changes to simulate a real braking scenario. If the instructor triggers preset scenarios such as "foggy weather" or "fault," the visual computer adjusts the scenario parameters in real time and simultaneously sends sound effect trigger signals to the sound simulation module. The sound simulation module outputs multi-dimensional sound effects through high-fidelity headphones based on the operation data and changes in the visual scene, achieving "visual-sound effect" coordination. Meanwhile, the instructor's computer receives operation data from each workstation and displays the train speed curve and operation sequence in chart form. If the operation exceeds the standard range (such as speeding or accidentally touching the emergency button), the system will automatically pop up a prompt. At the same time, four monitoring cameras capture the trainee's operation in real time and transmit it to the instructor's CCTV monitor via the line. The instructor can observe details such as whether the trainee "checks the equipment according to the procedure" and "fault handling operation sequence". Combined with the operation data, the instructor can judge the standardization of the operation. When the trainee's operation deviation is found or the training difficulty needs to be increased, the instructor can send instructions through the instructor's computer, such as remotely triggering emergencies such as "turnout switching" or "signal failure". The instructions are transmitted to the visual computer and sound simulation module through the network switch, and the scene and sound effects are updated synchronously. After the training, the instructor's computer automatically stores the trainees' operation data, training duration, and other records, and generates an operation evaluation report. The digital video recording device in the auxiliary equipment retrieves the video stored by the surveillance camera and associates it with the operation data, so that the instructor can review the trainees' operation process and score it against the standard procedure. In addition, during the training process, if multiple trainees need to collaborate or conduct cross-scenario teaching, the vehicle-mounted communication equipment establishes a voice connection through a network switch, supporting voice calls between trainees at two training stations on the same platform to simulate collaborative communication in a "dual-driver on-duty" scenario. It can also establish cross-network connections with simulation platforms in other training rooms to achieve "multi-line joint training" and expand the dimensions of training scenarios.

[0018] The above description is only a preferred embodiment of the present utility model, but the protection scope of the present utility model is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present utility model, based on the technical solution and the inventive concept of the present utility model, should be included within the protection scope of the present utility model.

Claims

1. An operating platform for simulation training of subway train drivers, characterized in that, It includes a simulation console module, a visual display module, a data acquisition and control module, an instructor control module, a sound simulation module, and auxiliary equipment. The modules interact with each other through a network switch. The simulation control panel module includes two independent training workstations; The visual display module includes a front-facing LCD screen, a side / platform-facing LCD screen, and a visual computer. The data acquisition and control module includes a distributed data acquisition and control unit, a dedicated interface power supply, and an I / O industrial control computer. The instructor control module includes an instructor computer, an instructor monitor, and instructor and student monitoring tables and chairs, with an instructor CCTV monitor installed on the instructor and student monitoring tables and chairs. The sound simulation module includes high-fidelity headphones; The auxiliary equipment includes surveillance cameras, digital video recording equipment, and a cabinet. There are four surveillance cameras, which are connected to the instructor's CCTV monitor to capture the students' operation process.

2. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The independent training station is equipped with a driver's controller, vehicle information display, on-board signal display, instruments, switches, buttons, indicator lights and on-board communication equipment that are identical to those in a real subway train. The independent training station is also equipped with a 1:1 scale emergency control panel, whose panel layout and color match those of a real train emergency control panel.

3. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The forward-facing LCD screen is 56 inches, and there are four side / platform-facing LCD screens. The visual computer uses a graphics workstation to construct a visual system that includes mainline, crossover, and turnaround lines through computer-generated image technology. This includes, but is not limited to, static objects such as tracks, tunnels, platforms, signals, and speed limit signs, as well as dynamic objects such as trains and pedestrians. The visual system also supports instructors in controlling environmental parameters and can simulate changes in weather such as fog, rain, and snow, as well as changes in signal light status and scenarios triggered by sudden events. The graphics workstation specifications of Vision Computers meet the following requirements: Intel® i5 CPU, 16GB DDR4 memory, 1TB SATA hard drive, equipped with ZOTAC RTX2060 4GB graphics processor, display resolution of 2048*1536, and pre-installed Windows operating system and professional graphics processing software.

4. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The data acquisition and control module is used to collect the operation data of the simulation console module in real time and transmit it to the visual computer and the instructor control module.

5. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The visual computer has a built-in visual database with a total number of triangles of no less than 1 million and a total number of textures of no less than 512MB. The number of visible triangles in each frame of the visual frustum is no less than 100,000 and the number of textures is no less than 64MB. It also has full-screen anti-aliasing function.

6. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The instructor's computer supports both offline and online operation modes: in offline mode, it can perform course editing, fault information management, student information entry, and training record storage; in online mode, it can monitor the operation status of each training station in real time, set the track gradient, curve radius, and train load operating conditions, add or delete faults and abnormal items, and observe the students' operation performance through the monitoring camera to achieve comprehensive control over the training process. Furthermore, the instructor's computer configuration must meet the following requirements: CPU is i5-6400, memory is ≥8GB, hard disk is ≥1TB, equipped with two ≥21-inch LCD flat panel displays, display color depth is ≥24bits, contrast ratio is ≥2500:1, and response time is ≤25ms.

7. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The high-fidelity headphones consist of two units, used to reproduce the sounds of the tracks, wind, whistles, electrical components engaging, braking, and station announcements during train operation. The surveillance camera is used to capture the trainees' operation process, the digital video recording device is used to store training videos for later review, the cabinet is used for equipment integration and installation, and the network switch is integrated into the cabinet.

8. The operating platform for simulation training of subway train drivers according to claim 1, characterized in that, The operating platform also includes vehicle-mounted communication equipment, which is integrated into the simulation control panel module. The vehicle-mounted communication equipment supports voice calls between students and between students and instructors, and can also achieve cross-scenario communication with other training rooms.

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