Platform door intelligent simulation training system based on digital twinning and AI

Abstract

The invention discloses a platform door intelligent simulation training system based on digital twinning and AI, and belongs to the technical field of rail transit training. The invention discloses a platform door intelligent simulation training system based on digital twinning and AI. The platform door intelligent simulation training system comprises a system architecture module, a hardware composition module, a software composition module and a core function module. The platform door simulation training system solves the problems that an existing platform door training mode depends on physical equipment and is single in function, complex fault scenes are difficult to simulate, and intelligent teaching assistance is lacked, high-precision control is achieved by constructing a hardware and software collaborative simulation training system and adopting a three-layer distributed control framework, and the platform door simulation training system is high in practicability. A digital twinning technology is combined to restore a real platform door structure and an operation state in a 1: 1 manner, AI voice interaction and a professional knowledge base are integrated, fault simulation, principle teaching, practical operation drilling and intelligent question and answer are supported, the immersion, interactivity and teaching efficiency of training are effectively improved, and the urgent demand of modern rail transit for professional and intelligent training is met.

Description

Technical Field

[0001] This invention relates to the field of rail transit training technology, specifically to a smart simulation training system for platform screen doors based on digital twins and AI. Background Technology

[0002] With the rapid development of the urban rail transit industry, platform screen doors, as core equipment for ensuring passenger safety and maintaining station operational order, directly impact the safety of rail transit operations through their standardized operation and efficient fault handling. Currently, training for platform screen door professionals (station staff and maintenance personnel) by rail transit operators and educational institutions primarily relies on physical platform screen door equipment or traditional simulation devices, aiming to improve personnel's ability to operate platform screen doors, diagnose faults, and handle emergencies through hands-on training.

[0003] In existing platform screen door training models, traditional physical equipment is used to build training scenarios based on real subway platform screen doors, simulating the operation and fault states of core components such as sliding doors, fixed doors, and emergency doors. Some universities or enterprises use simplified simulation devices, which only have basic door opening and closing functions to assist in theoretical teaching and simple operation training. However, with the upgrading of platform screen door technology (such as integrated sensor detection and intelligent control logic) and the diversification of training needs (such as complex fault scenarios and customized teaching), traditional training methods are gradually becoming unable to meet industry needs. Therefore, to address these shortcomings, we propose a smart simulation training system for platform screen doors based on digital twins and AI. Summary of the Invention

[0004] The purpose of this invention is to provide a smart simulation training system for platform screen doors based on digital twins and AI. By constructing a hardware + software collaborative simulation architecture and integrating digital twins, artificial intelligence and modular design, it realizes a highly realistic, intelligent and customizable platform screen door training environment, thus solving the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a smart simulation training system for platform doors based on digital twins and AI, the system comprising a system architecture module, a hardware component module, a software component module, and a core functional module; The system architecture module adopts a three-layer distributed control structure, including a host computer monitoring layer, a core control layer, and a drive execution and sensing layer. The hardware components include a door structure, a transmission system, and control components, which are used to construct the physical entity of the system. The software components include lower-level software, upper-level software, and an AI-assisted module, which are used to implement the system's control and interaction logic. The core functional modules include a station operations professional teaching and training module, a maintenance professional teaching and training module, and auxiliary functional modules, which are used to provide professional training functions.

[0006] Furthermore, the system architecture module specifically includes: The host computer monitoring layer is developed based on Kunlun Tongtai MCGS Pro, providing a graphical human-machine interface, supporting command sending, parameter configuration and real-time status display functions, and supporting data interaction with the core control layer through RS485 serial port; The core control layer, with the Mitsubishi FX3U-48MT / ES-A programmable logic controller as its core, receives instructions from the host computer and signals from the lower-level sensors, executes control logic, and sends action instructions to the drive execution and sensing layer. The drive execution and sensing layer includes an actuator and a sensing component, used to realize linear motion of the door, status detection and fault signal feedback.

[0007] Furthermore, the hardware components are specifically: The door structure is manufactured using FDM 3D printing technology with PLA material, and includes a sliding door leaf, a fixed door and an emergency door, as well as a base and a support frame; The transmission system includes a stepper motor, a synchronous pulley and a synchronous belt transmission assembly, as well as a linear slide rail and a hanging pulley, used to convert the rotational motion of the motor into the linear motion of the door body; The control system is based on a Mitsubishi FX3U-48MT / ES-A programmable logic controller, which has high-speed counting and pulse output functions and controls the speed and position of the stepper motor through PLS-type instructions.

[0008] Furthermore, the software components specifically include: The lower-level machine software is developed based on Mitsubishi GX Works2, programmed using ladder diagram language, and runs in a programmable logic controller to realize sensor signal processing, safety logic judgment and drive control. The host computer software is developed based on MCGS Pro and communicates with the slave computer through the Mitsubishi MC protocol. It is used to provide monitoring and interactive functions, including BIM model display, parameter setting and one-click inspection. The AI-assisted module integrates voice control and knowledge Q&A functions, and supports both offline and online modes, enabling voice control of the programmable logic controller and real-time query of professional knowledge.

[0009] Furthermore, in the AI-assisted module, the voice control function is based on Tianwen offline voice recognition technology, which controls the door's movements and queries equipment parameters through voice commands. The knowledge question and answer function has a built-in knowledge base in the professional field of platform doors, which supports real-time query and dynamic updates of fault handling solutions and equipment principles.

[0010] Furthermore, the core functional module specifically includes: The station operations professional teaching and training module is used to support fault scenario simulation and practical training exercises, and provides standardized fault handling procedures and operation guidelines; The maintenance professional teaching and training module is used to display the internal structure of the door through exploded BIM model diagrams, combined with animation to demonstrate the transmission logic and control signal flow, to help understand the equipment operation mechanism, and to support fault diagnosis training and viewing of component details; The auxiliary functional modules include high-fidelity simulation, multi-scenario adaptation and customized expansion, which are used to support fault data statistics, simulation of different line environments and functional interface expansion.

[0011] Furthermore, the auxiliary functional modules support 1:1 high-fidelity modeling based on digital twin technology, which is used to restore the layout of the door structure and control components based on the real platform door prototype, and supports multi-line scenario simulation and fault data statistical analysis.

[0012] Furthermore, the auxiliary functional modules reserve functional interfaces to support the addition of training scenarios, adjustment of software functions, or joint development based on user needs.

[0013] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention uses digital twin technology to create a 1:1 model based on a real platform door prototype. It combines 3D printed door structure with exploded BIM model display to achieve high-precision restoration of structure, control logic and operating status, and supports flexible adaptation to multiple lines and multiple scenarios.

[0014] 2. This invention incorporates dozens of typical fault modes, including door opening failure, sensor offline, electromagnetic lock failure, etc., and integrates standardized fault handling procedures and training guidelines. It can support station staff and maintenance personnel to conduct repeated drills in a simulation environment, thereby improving their emergency response capabilities in complex scenarios.

[0015] 3. By introducing voice control and knowledge Q&A functions, and supporting offline / online voice control and real-time knowledge retrieval, this invention can enhance human-computer interaction efficiency and training autonomy, thereby reducing dependence on physical equipment and fixed teaching resources.

[0016] 4. By adopting a modular hardware and software architecture and reserving functional interfaces, this invention supports users in customizing training content, adding fault cases, or adjusting assessment standards according to actual needs, thereby meeting the evolving training needs of different educational institutions and enterprises. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of the intelligent simulation training system for platform doors based on digital twins and AI according to the present invention; Figure 2 This is a ladder diagram for the sliding door control of the present invention. 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] To address the technical problems of existing platform door training methods that rely on physical equipment, have limited functionality, struggle to simulate complex fault scenarios, and lack intelligent teaching aids, please refer to [link to relevant documentation]. Figure 1 This embodiment provides the following technical solution: A platform door intelligent simulation training system based on digital twin and AI, the system includes system architecture module, hardware component module, software component module and core function module; The system architecture adopts a three-layer distributed control structure, which supports independent module upgrades (such as replacing with a higher-precision motor or adding AI algorithms), including: The host computer monitoring layer, as the core of human-machine interaction, is developed based on Kunlun Tongtai MCGS Pro. It provides a graphical human-machine interface, supports command sending (such as door opening and closing, fault setting), parameter configuration (such as door speed, motor temperature threshold) and real-time status display (such as door position, DCU temperature, alarm information), and supports data interaction with the core control layer through RS485 serial port (Mitsubishi MC protocol). The core control layer, based on the Mitsubishi FX3U-48MT / ES-A programmable logic controller (PLC), receives instructions from the host computer and signals from the lower-level sensors, executes control logic (such as stepper motor pulse control and safety loop judgment), and sends action instructions to the drive execution and sensing layer. It has industrial-grade anti-interference capabilities, adapts to complex electrical environments, and ensures control reliability. The drive and sensing layer includes actuators (28HB30 series two-phase hybrid stepper motor, synchronous belt drive assembly, electromagnetic lock, indicator light, buzzer) and sensing components (temperature sensor, position sensor, door lock status sensor) to realize linear motion of the door (opening / closing), status detection (such as door in position, motor temperature) and fault signal feedback (such as electromagnetic lock failure, sensor offline).

[0020] The technical effects of the above solution are as follows: By adopting a three-layer distributed control structure, a highly reliable, high-precision, and easily expandable intelligent simulation training system architecture for platform screen doors is constructed, bringing significant benefits in many aspects. First, the upper-level monitoring layer develops a graphical human-machine interface based on the mature Kunlun Tongtai MCGS Pro configuration software, integrating command sending, parameter configuration, and real-time status display functions. It communicates with the lower layer through a standardized RS485 serial port and Mitsubishi MC protocol, enabling trainees to intuitively issue various operation commands, flexibly adjust system parameters, and monitor the door's position, key equipment temperature, and alarm information in real time, greatly improving the interactivity of the training and the transparency of the teaching process. At the same time, the standardized interface ensures the stability and compatibility of system communication. Second, the core control layer uses the Mitsubishi FX3U series programmable logic controller as the core control unit. With its powerful logic processing capabilities, high-speed counting, and pulse output functions, it can accurately execute complex control logic, ensuring performance in complex electrical environments. It possesses excellent anti-interference capabilities and control reliability, thus providing a stable and reliable control center for the entire training system. This allows the control accuracy and real-time response of the simulation training to closely match real operational scenarios. Finally, the drive execution and sensing layer integrates high-performance actuators and various sensing components. High-torque, high-precision stepper motors, combined with efficient synchronous belt drives and linear guide mechanisms, ensure the smoothness and positioning accuracy of the door's linear motion. The comprehensive sensor configuration enables real-time acquisition of multi-dimensional information such as door status, temperature, and lock status, as well as rapid feedback of fault signals. This allows for highly realistic simulation of the normal operation of the platform gate, various standard actions, and complex fault conditions during training, providing a solid physical foundation and data support for operation and maintenance training.

[0021] In summary, the overall three-tier architecture achieves clear functional layering and modular design. The layers are coupled through standardized interfaces, which not only ensures the overall stability and control accuracy of the system under high training loads, but also makes hardware replacement, function expansion, or software upgrades more convenient. This significantly improves the maintainability and scalability of the system, enabling it to flexibly adapt to the customized training needs of different users and different lines.

[0022] The hardware components include: The door structure, manufactured using FDM 3D printing technology with PLA material, balances lightweight design, structural strength, and rapid iteration requirements, including: Sliding door panel: 3D printed in one piece or assembled in sections, with an integrated hanging mechanism mounting position at the top (connecting to the transmission system), and a guide groove at the bottom (to ensure smooth operation), achieving linear reciprocating motion; Fixed door / emergency door: Made by 3D printing, with the same material and appearance as the sliding door. The fixed door is statically installed, while the emergency door supports emergency opening. Base and support frame: 3D printed frame structure, serving as the mounting base for electronic control unit (PLC) and mechanical transmission components (motor, guide rail), ensuring system integration and stability; The transmission system adopts a high-precision synchronous belt drive scheme to achieve efficient conversion of the motor's rotary motion into the door's linear motion: Power source: 28HB30 series two-phase hybrid stepper motor, which features high torque, excellent low-speed performance and high control precision, meeting the requirements of frequent start-stop and precise positioning of the door; Transmission mechanism: A 16-tooth synchronous pulley and a closed toothed belt transmit power without slippage through tooth meshing. The belt is directly connected to the sliding door to ensure synchronous movement. Guiding and support mechanism: linear slide rails and hanging pulleys bear the weight of the door leaf and provide precise linear guidance to avoid jamming during operation; The control system is based on the Mitsubishi FX3U-48MT / ES-A programmable logic controller, which has high-speed counting and pulse output functions. It controls the speed and position of the stepper motor through PLS-type instructions, and integrates a 48V safety circuit and a communication module (compatible with RS485) to realize real-time data interaction with the host computer and sensors, ensuring the closed loop of the control logic. Regarding the PLS command mentioned above: In the control system, the Mitsubishi FX3U PLC sends two key digital signals to the stepper motor or servo motor driver through its dedicated pulse output command (such as PLS-type commands, specifically PLSY or DPLSY). One signal is a pulse sequence, and the other is a direction signal. This command sets two core parameters through programming, namely the pulse frequency (S1) and the total pulse amount (S2), thereby achieving precise digital control of the motor's speed and position.

[0023] The technical effects of the above solution are as follows: By using FDM 3D printing technology to manufacture the door structure with PLA material, a balance between lightweight, structural strength, and rapid iteration is achieved; the high-precision synchronous belt drive scheme, combined with a high-performance stepper motor and guiding mechanism, ensures the accuracy, smoothness, and reliability of the door's linear motion; the control system, with an industrial-grade programmable logic controller as its core, achieves precise digital control of the actuator and real-time reliable data interaction with other parts of the system through high-speed pulse output and integrated safety loops. Thus, a highly realistic, responsive, and stable hardware platform is constructed as a whole, providing a solid physical foundation for intelligent simulation training.

[0024] The software modules employ a collaborative mode of lower-level machine control and upper-level machine monitoring, realizing intelligent system operation and training functions, including: The lower-level software, based on the Mitsubishi GX Works2 development environment, is programmed using ladder logic and runs within a programmable logic controller (PLC). It is used to implement sensor signal processing (such as door position and temperature), safety logic judgment (such as safety circuit on / off), and drive control, including outputting drive commands (such as motor start / stop and electromagnetic lock control). This enables the low-level control of the platform door's basic operation (automatic opening / closing and manual control) and fault simulation (such as motor jamming and electromagnetic lock failure). For example... Figure 2 The sliding door opening instruction written for the ladder diagram, when the logic rules in the diagram are met, the M26 intermediate relay receives the opening signal and sends the PLSY instruction to control the sliding door to open. The host computer software, developed based on Kunlun Tongtai MCGS Pro configuration, communicates with the slave computer via the Mitsubishi MC protocol to provide monitoring and interactive functions, including: Monitoring functions: Real-time display of door status (door open / door closed), equipment parameters (DCU temperature, motor temperature), alarm information (fault type, occurrence time), and support for BIM prototype display of platform doors (including exploded views and internal structure disassembly). Interactive functions: Provides parameter setting interface (such as door speed threshold, temperature alarm upper limit), manual control buttons (such as open / close door, fault reset), integrates one-click inspection function, and automatically detects the status of each component of the system; The AI-assisted module integrates voice control and knowledge Q&A functions, and supports both offline and online modes to enable voice control of programmable logic controllers and real-time query of professional knowledge. The system utilizes DeepSeek's large model API and Tianwen's offline voice control technology to develop an AI voice assistant. This enables offline voice control, allowing users to control door actions (e.g., opening the 4-2 sliding door and closing emergency door 7) and query equipment parameters (e.g., querying the motor temperature of device A114) via voice commands. The voice control function employs Tianwen's offline voice recognition technology, using the Tianwen offline voice recognition chip and algorithm to achieve contactless voice control of the PLC equipment. The system accurately responds to commands, instantly converting them into register values ​​sent to the PLC via the voice recognition chip's output module, thus triggering the PLC's execution logic. The knowledge Q&A function has a built-in knowledge base in the vertical field of platform screen doors, covering equipment principles, troubleshooting solutions (e.g., how to troubleshoot sliding door jamming), and parameter specifications. It helps trainees acquire professional knowledge in real time. The knowledge comes from training through platform screen door manuals, troubleshooting manuals and other related materials, and supports dynamic input into the relevant knowledge base (this function requires an internet connection).

[0025] The technical effects of the above solution are as follows: the lower-level computer software achieves highly reliable low-level control and fault simulation, the upper-level computer software provides an intuitive monitoring interface and BIM visualization teaching, and the AI-assisted module innovatively integrates offline / online voice control and professional knowledge Q&A. Through the collaborative work of the three, the system control accuracy and training intelligence are improved, the convenience of human-computer interaction and the depth of training content are enhanced, and the shortcomings of traditional training methods such as single function, lack of intelligent guidance and insufficient immersion are effectively overcome.

[0026] Core functional modules include: The station operations professional training module is used to support fault scenario simulation and practical training exercises, and provides standardized fault handling procedures and operation guidelines, specifically: Fault scenario simulation: Built-in dozens of typical platform door faults (such as door opening failure, emergency door unable to open, PSL operation permission abnormality). Practical training exercises: Provide standardized fault handling process guidelines (front-end graphic and text interaction) to simulate the operations of station staff in real operation scenarios (e.g., LCB panel switching, fault alarm bypass, and coordination with the signal system). The maintenance training module is used to display the internal structure of the gate (motor, synchronous belt, electromagnetic lock) through exploded BIM model diagrams. Combined with animation demonstrations of transmission logic and control signal flow, it helps to understand the equipment operation mechanism and supports fault diagnosis training and viewing of component details (such as electromagnetic lock, DCU, motor, belt, etc.). Among them, the fault diagnosis training simulates maintenance scenarios such as motor failure, sensor offline, and transmission system blockage, and provides fault diagnosis guidance (such as checking the wiring terminals and heat dissipation channels if the motor temperature is abnormal). It also supports one-click exploded disassembly, which can disassemble the platform door model with one click to view internal details. The auxiliary functional modules include high-fidelity simulation, multi-scenario adaptation, and customized extensions, used to support fault data statistics, simulation of different line environments, and functional interface expansion; specifically: Among them, high-fidelity simulation: supports 1:1 high-fidelity modeling based on digital twin technology, used for door structure and control component layout (such as IBP panel, GID display) based on real platform door prototype, ensuring consistency of appearance and structure through 3D printed parts, and supporting multi-line scene simulation and fault data statistical analysis. Multi-scenario adaptation: Supports statistical analysis and visualization of fault data for the past week / month / quarter (fault percentage, alarm trend), simulating the operating environment of platform screen doors on different lines; Customizable expansion: Reserved function interfaces allow for the addition of training scenarios (such as specific line fault cases) and adjustment of software functions (such as adding assessment and scoring standards) according to the needs of schools or enterprises, and supports joint development.

[0027] The technical effects of the above solution are as follows: By constructing a highly realistic digital twin of the platform screen door and combining it with modular professional training functions, immersive and interactive teaching and training for station staff and maintenance personnel is achieved. The system can not only simulate various real fault scenarios and handling procedures to improve trainees' practical skills and emergency response capabilities, but also enhance their understanding of equipment structure and principles through BIM visualization and AI assistance. At the same time, the system has good scalability and adaptability, supports multi-line scenario simulation, fault data analysis, and customized function development, effectively improving the coverage, teaching efficiency, and professional level of training, and meeting the continuous needs of the rail transit industry for intelligent and standardized training.

[0028] Working Principle: Based on digital twin technology, this system recreates the structure and operating logic of real platform screen doors, simulating single and complex fault scenarios. It covers the training needs of all specialties, including station operations and maintenance, and the training process closely mirrors the real operating environment, effectively improving personnel's practical skills in fault handling and equipment operation, thus overcoming the shortcomings of traditional devices in terms of scenario coverage. High-risk faults are simulated through software modules, eliminating the need for contact with real high-voltage components and completely removing safety risks such as equipment damage and electric shock. The hardware modules utilize FDM 3D printed PLA material, which is not only cost-effective but also compact, allowing for multiple parallel training sessions and improving resource utilization. It supports voice control and real-time Q&A, reducing operational complexity, and supports functional module adjustments based on university teaching plans and enterprise line prototypes, providing collaborative development services to address the issue of fixed functions and inability to adapt to personalized needs in traditional devices. Furthermore, it uses industrial-grade Mitsubishi FX3U series PLCs and anti-interference communication modules, enabling it to adapt to complex electrical environments and ensure long-term stable operation. The three-layer distributed architecture supports independent module upgrades and can be expanded to include simulation modules for other rail transit equipment in the future, forming a comprehensive training platform and extending the product lifecycle.

[0029] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A smart simulation training system for platform screen doors based on digital twins and AI, characterized in that, The system includes a system architecture module, a hardware component module, a software component module, and a core functional module; The system architecture module adopts a three-layer distributed control structure, including a host computer monitoring layer, a core control layer, and a drive execution and sensing layer. The hardware components include a door structure, a transmission system, and control components, which are used to construct the physical entity of the system. The software components include lower-level software, upper-level software, and an AI-assisted module, which are used to implement the system's control and interaction logic. The core functional modules include a station operations professional teaching and training module, a maintenance professional teaching and training module, and auxiliary functional modules, which are used to provide professional training functions.

2. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 1, characterized in that, The system architecture modules are specifically as follows: The host computer monitoring layer, developed based on MCGS Pro, provides a graphical human-machine interface, supports command sending, parameter configuration and real-time status display functions, and supports data interaction with the core control layer through RS485 serial port. The core control layer, with the Mitsubishi FX3U-48MT / ES-A programmable logic controller as its core, receives instructions from the host computer and signals from the lower-level sensors, executes control logic, and sends action instructions to the drive execution and sensing layer. The drive execution and sensing layer includes an actuator and a sensing component, used to realize linear motion of the door, status detection and fault signal feedback.

3. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 1, characterized in that, The hardware components are specifically: The door structure is manufactured using FDM 3D printing technology with PLA material, and includes a sliding door leaf, a fixed door and an emergency door, as well as a base and a support frame; The transmission system includes a stepper motor, a synchronous pulley and a synchronous belt transmission assembly, as well as a linear slide rail and a hanging pulley, used to convert the rotational motion of the motor into the linear motion of the door body; The control system is based on a Mitsubishi FX3U-48MT / ES-A programmable logic controller, which has high-speed counting and pulse output functions and controls the speed and position of the stepper motor through PLS-type instructions.

4. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 1, characterized in that, The software components are specifically as follows: The lower-level machine software is developed based on Mitsubishi GX Works2, programmed using ladder diagram language, and runs in a programmable logic controller to realize sensor signal processing, safety logic judgment and drive control. The host computer software is developed based on MCGS Pro and communicates with the slave computer through the Mitsubishi MC protocol. It is used to provide monitoring and interactive functions, including BIM model display, parameter setting and one-click inspection. The AI-assisted module integrates voice control and knowledge Q&A functions, and supports both offline and online modes, enabling voice control of the programmable logic controller and real-time query of professional knowledge.

5. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 4, characterized in that, In the AI-assisted module, the voice control function is based on Tianwen offline voice recognition technology, which controls the door's movements and queries equipment parameters through voice commands. The knowledge Q&A function has a built-in knowledge base in the professional field of platform doors, which supports real-time query and dynamic updates of fault handling solutions and equipment principles.

6. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 1, characterized in that, The core functional modules are specifically as follows: The station operations professional teaching and training module is used to support fault scenario simulation and practical training exercises, and provides standardized fault handling procedures and operation guidelines; The maintenance professional teaching and training module is used to display the internal structure of the door through exploded BIM model diagrams, combined with animation to demonstrate the transmission logic and control signal flow, to help understand the equipment operation mechanism, and to support fault diagnosis training and viewing of component details; The auxiliary functional modules include high-fidelity simulation, multi-scenario adaptation and customized expansion, which are used to support fault data statistics, simulation of different line environments and functional interface expansion.

7. The intelligent simulation training system for platform doors based on digital twins and AI according to claim 6, characterized in that, Among the auxiliary functional modules, it supports 1:1 high-fidelity modeling based on digital twin technology, which is used to restore the layout of the door structure and control components based on the real platform door prototype, and supports multi-line scenario simulation and fault data statistical analysis.

8. The intelligent simulation training system for platform screen doors based on digital twins and AI according to claim 6, characterized in that, The auxiliary functional modules reserve functional interfaces to support the addition of training scenarios, adjustment of software functions, or joint development based on user needs.

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