Challenge

Critical to Company C's operations, its pumps undergo regular testing via real-time vibration analysis, infrared imaging, and visual inspections to prolong their lifespan and enhance productivity. While these methods offer valuable insights into current pump conditions, the engineering team grapples with automating capacity adjustments and accurately forecasting potential breakdowns. This challenge poses significant hurdles as it hampers their ability to preemptively address issues, leading to considerable downtime and financial losses.

Solution

The solution harnesses the power of NVIDIA H100 SXM5 GPUs for intricate real-time analytics, training, and predictive modeling, complemented by the Jetson Orin for robust edge computing. By integrating advanced AI algorithms, the system is finely tuned to measure and analyze vital pump metrics like vibration, flow rate, pressure, temperature across diverse components, speed, and motor power consumption. The system autonomously configures optimal flow rates, pressure, and speed, while accurately predicting potential breakdowns.

Project Highlights

Built within a few months, the AI system prototype enhances pump efficiency and reduces downtimes. The AI optimizes pump RPMs, Ramp-up, Ramp-down, impeller diameter and pressure based on real-time data, ensuring seamless operation and extending the pump's lifespan. Crucially, the system's predictive analytics anticipates potential breakdowns, enabling proactive maintenance. This strategic approach decreased maintenance costs and significantly improved operational stability, leading to substantial cost savings.