| Title |
A Study on the Development of an IoT Sensor Data Acquisition Device for Railway trackside facility maintenance and worker safety |
| Authors |
신현창(Hyun-Chang Shin) ; 김성철(Seong-Cheol Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2026.75.1.193 |
| Keywords |
IoT Sensor Data Acquisition Device; Railway Trackside Monitoring; All-IP Architecture; Predictive Maintenance; Trackside Worker Safety; Sensor Interface Integration; RS-485/Modbus Communication |
| Abstract |
This paper presents the design and implementation of an all-IP?based IoT sensor data acquisition device tailored for railway trackside environments. The proposed system is developed with three primary objectives: Integration, enabling seamless aggregation and standardized processing of heterogeneous sensor data; Scalability, ensuring flexible interoperability with diverse sensor types through a unified hardware and communication architecture; and Maintainability, supporting efficient remote monitoring, diagnostics, and control for field maintenance operations.
The device enables the transition from conventional periodic inspection practices to a real-time condition-monitoring and predictive-maintenance framework. By supporting proactive fault detection and enhancing trackside safety management, it contributes to improved operational reliability and reduced maintenance costs.
Furthermore, the results of this study establish a technological foundation for advanced railway applications?including digital-twin systems, data-driven analytics, and AI-based predictive maintenance?demonstrating the potential of the proposed device for future expansion within intelligent railway infrastructure management platforms. |