ADVANCED-DATA ACQUISITION AND AUTOMATED MONITORING SYSTEMS IN RAILWAY SAFETY
Keywords:
Railway Safety Automation, Track Monitoring Systems, Ultrasonic Defect Detection, Predictive Maintenance, Intelligent Transportation InfrastructureAbstract
Advanced data acquisition and automated monitoring systems represent a transformative advancement in railway safety and operational efficiency. Integrating sophisticated train control technologies, TETRA protocols, and nanosensor implementations has revolutionized track maintenance and safety protocols. Through the deployment of multi-tiered monitoring frameworks incorporating ultrasonic B-scan detection, RFID tracking, and mobile inspection platforms, railway networks have achieved enhanced defect detection capabilities and improved resource utilization. Implementing machine learning algorithms and real-time data processing has enabled proactive maintenance strategies, while integrated GPR and InSAR technologies have strengthened track inspection capabilities. These technological advancements have reduced accident rates, optimized maintenance schedules, and improved overall system reliability across railway networks.
References
R.M.P. Goverde, et al. "Advanced monitoring and management information of railway operations," 2011. Available: https://www.sciencedirect.com/science/article/abs/pii/S2210970612000029
B. B. S. Bharadwaj, et al. "Automated Railway Monitoring System," 2023. Available: https://www.irjet.net/archives/V10/i5/IRJET-V10I541.pdf
D. Chater-Lea, "Present and future TETRA use in railway signalling applications," 2017. Available: https://www.globalrailwayreview.com/article/71364/present-and-future-tetra-use/
M. Javaid et al., "Exploring the potential of nanosensors: A brief overview," 2021. Available: https://www.sciencedirect.com/science/article/pii/S2666351121000516
R.M.P. Goverde, et al., "Advanced monitoring and management information of railway operations," 2011. Available: https://www.sciencedirect.com/science/article/abs/pii/S2210970612000029
G. Sucharitha et al., "RFID Applications in Railway Industry," 2015. Available: http://www.ijmetmr.com/olseptember2015/GSucharitha-AGodavari-96.pdf
Z. Xue et al., "Systematic review: Ultrasonic technology for detecting rail defects," 2023. Available: https://www.sciencedirect.com/science/article/abs/pii/S0950061823001204
H. Cygan, et al., "B-scan ultrasonic image analysis for internal rail defect detection," 2003. Available: https://www.researchgate.net/publication/252650921_B-scan_ultrasonic_image_analysis_for_internal_rail_defect_detection
AdorTech, "Railway Inspection and measurement systems: Sensors, Devices, and Best Practices," 2024. Available: https://adortech.com/blog/railway-inspection-and-measurement-systems-sensors,-devices,-and-best-practices
E. Balcı et al., "Smart Diagnosis And Maintenance Systems For Railway Tracks," 2021. Available: https://www.researchgate.net/publication/354711731_Smart_Diagnosis_And_Maintenance_Systems_For_Railway_Tracks
H. Pouryousef et al., "Impact of Advanced Train Control Technologies on Rail Network Safety and Operational Performance," 2024. Available: https://railroads.dot.gov/sites/fra.dot.gov/files/2024-02/Impact%20of%20Advanced%20Train%20Control.pdf
M. Koohmishi et al., "Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management," 2024. Available: https://www.sciencedirect.com/science/article/pii/S0926580524001146
