IoT Steam Trap Monitoring with Vibration and Thermal Sensing for Energy-Efficient Boiler Systems
Boiler Industries
UN SDG 9 - Industry, Innovation and Infrastructure
Chennai
Pain Points
Steam trap failures increased energy loss, downtime and reactive maintenance across steam systems.
Inefficient Steam Trap Performance
Blocked or leaking steam traps caused energy loss and reduced the efficiency of steam distribution.
Lack of Real-Time Monitoring
Operators lacked continuous visibility into vibration and temperature changes that indicated trap faults.
High Reactive Maintenance Costs
Unexpected failures led to emergency repairs, higher maintenance costs and avoidable production delays.
Our Offerings
Deployed IoT sensing and analytics for real-time steam trap monitoring and predictive maintenance.
Vibration and Temperature Sensing
Sensors tracked vibration and thermal patterns to identify leaking, blocked or abnormal steam traps.
Predictive Maintenance Analytics
Condition-based analytics helped forecast failures and prioritize maintenance before breakdowns.
Centralized IoT Monitoring
A central platform combined sensor data, visualized trap health and issued anomaly alerts.
Steam Energy Optimization
Performance data helped teams maintain functional traps and reduce avoidable steam and energy losses.
Outcomes
15% Energy Savings
Optimized trap performance reduced steam leakage and lowered overall energy consumption by 15%.
30% Less Unplanned Downtime
Early fault detection and predictive maintenance reduced unplanned downtime by 30%.
20% Lower Maintenance Costs
Condition-based maintenance reduced reactive repair expenses and lowered maintenance costs by 20%.
Improved Operational Efficiency
Reliable steam trap operation improved system efficiency and supported more consistent production.
Real-time monitoring has transformed our steam system, boosting energy efficiency and cutting downtime.
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