장문엽  박민수  강성근  박찬우

Vol. 39,  No. 5, pp. 41-48, Oct.  2024
10.14341/JKOSOS.2024.39.5.41

Digital Twin human error basic design for prevention system

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This paper discusses the design of a digital twin-based railway safety system aiming at preventing human errors and enhancing safety in the railway industry. With the increasing complexity of railway systems, human error is now responsible for approximately 50% of accidents. Digital twin technology creates digital replicas of physical systems to predict and prevent potential issues, enabling real time data collection, analysis, and simulation. Case studies from domestic and international contexts reveal that most digital twin applications focus on infrastructure management, with few systems directly addressing human errors. This study proposes a digital twin-based safety system that can monitor the positions and vital signs of railway workers in real-time by using smart protective equipment and process management systems. The system consists of four layers: data collection, data processing, digital twin modeling, and a user interface. Moreover, it can provide two-dimensional (2D) and three-dimensional (3D) displays of worker and train locations, as well as alerts for preventing accidents. The screen design is user-centered, intuitive, and easy to use, ensuring efficient safety management even in complex work environments. Moreover, it can accurately track the positions of workers and trains by integrating real-time train information and GPS signals, facilitating smooth communication between workers and supervisors. Overall, the proposed system represents a significant step toward improving safety and reducing human errors in the railway industry. Further research will focus on testing the system’s effectiveness and expanding its application across various operational scenarios, ultimately enhancing the safety and efficiency of railway sectors.