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Remote Diagnostic & Predictive Maintenance
For Engineering
RDPMS for Railway Bridges monitors key engineering assets by detecting loosening in sleepers, structural integrity issues, and tracking water levels for flood warnings. Vibration sensors detect sleeper displacement, while strain sensors assess bridge stress and potential damage. Ultrasonic sensors monitor rising water levels to prevent flood-related hazards, ensuring safety and timely maintenance.
Architecture
IoT sensors such as strain gauges, vibration sensors, and ultrasonic devices. These sensors continuously monitor the structural integrity of the bridge, detecting any loosening in sleepers or strain in the bridge structure. Additionally, water-level sensors track nearby water bodies for flood monitoring.
Data from these sensors is transmitted via edge gateways to cloud servers, where advanced AI algorithms analyze the data in real-time. This system provides early warnings of structural issues or environmental hazards, ensuring timely maintenance and enhancing the safety of railway bridges.
Applications
Monitors the Railway infrasture with various Sensors and transducers
Railway Bridge
Monitors structural integrity, detects sleeper displacement, and identifies looseness in nuts and bolts during both idle and train movement conditions. It ensures real-time fault detection, enhancing bridge safety and optimizing maintenance efforts.
Benefits
Reduced Downtime:
Real-time monitoring and predictive maintenance help reduce system failures and minimize downtime.
Improved Maintenance:
It aids in diagnosing issues remotely, allowing faster and more effective repair planning.
Enhanced Safety:
Continuous monitoring of critical assets like point machines and signals ensures safer railway operations by detecting faults early.
Cost Savings:
By predicting failures and scheduling maintenance efficiently, RDPMS lowers maintenance costs and reduces unnecessary site visits.