" A leading international airport needed predictability and maintenance cost reduction for transformers & HVACs. We executed remote health monitoring, alerts and predict break downs through IoT and machine learning "
Pain points of Airport
Complexity of manual monitoring of electrical assets
Currently maintenance workers physically went about checking the running condition of the machinery. This was time consuming, fraught with slip ups, errors and tedious process in collating the data.
Unseen breakdowns leading operation disruption
Due to lack of real time health check of assets, quality of maintenance and predictive capabilities, the sudden breakdowns costed heavily for the operation teams.
Inaccurate Inventory planning leading to high costs
Storing less frequently used spares parts, inability to order just in time from the manufacturers was an expensive exercise. This also lead to weaker negotiation with suppliers.
Results
Real time remote monitoring of assets with IoT enabled health predictive ability was installed
15%
reduction in the physical monitoring cost.
15% Improvement in inventory planning
30% Reduction in overall maintenance cost
15% Reduction in asset breakdown
24×7 Centralized visibility and control
98% Real-time prediction of asset health
Other Benefits
Analytics Dashboard for management visibility
Utilization of assets tracker which helps better negotiation