ADVANCED-DATA ACQUISITION AND AUTOMATED MONITORING SYSTEMS IN RAILWAY SAFETY

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 haveSridevi

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Publication Details

Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2024-12-26
DOI
https://doi.org/10.34218/ijrcait_07_02_199
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

ADVANCED-DATA ACQUISITION AND AUTOMATED MONITORING SYSTEMS IN RAILWAY SAFETY

Sridevi Palepu
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Fire Detection and Safety Systems
article

ADVANCED-DATA ACQUISITION AND AUTOMATED MONITORING SYSTEMS IN RAILWAY SAFETY

Sridevi Palepu
article en

Abstract

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 haveSridevi

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 7(2)
Hypres (United States) (US)
Openalex Percentile: Top 70%
Fire Detection and Safety Systems
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