Pipes and other assets are manually inspected using schedules derived from historical failure modes. Manually intensive and increases risk of unpredicted behaviors and events.
Goals and Objectives
Real-time performance data is combined with external data sources to predict failures in pipes and other assets. Reduces physical inspections costs and increases system performance.
Pipe and asset sensors, communications networks, cloud, analytics, and machine learning
Use Case Summary
Use predictive models to manage corrosion inspections and reduce physical inspections