Smart Corrosion Predictor
Predicts pipeline corrosion points using IoT sensor data. Generates preventive work orders in IBM Maximo to avoid structural failures, extending asset lifespan and ensuring operational continuity.
Benefits
Early Detection
Identifies corrosion before failures occur, enabling timely preventive action.
Automated Maintenance
Automatically generates preventive work orders to optimize resource planning.
Cost Reduction
Minimizes unplanned downtime and emergency repair expenses.
Lifespan Extension
Extends critical infrastructure durability through proactive interventions.
How It Works
IoT Sensor Data Collection
Captures operational information in real time from distributed sensors along the infrastructure.
Predictive Corrosion Models
Applies algorithms to forecast corrosion risk points before failures occur.
Preventive Work Order Generation
Creates alerts and preventive work orders automatically for timely technician action.
Continuous Monitoring
Monitors pipelines constantly and refines predictions using historical data and feedback.
Use Cases
Automated Maintenance Scheduling: Plans preventive interventions according to risk predictions to optimize resources.
Transport Network Failure Prevention: Reduces operational disruptions through proactive measures.
Technical and Material Resource Optimization: Efficiently allocates personnel and materials based on detected needs.
Compliance and Audit Support: Generates automated reports for regulators and internal audits.
Integration and Customization
IoT Sensors
Real-time operational data ingestion for predictive analysis.
Maintenance Management System
Automates creation and tracking of preventive work orders.
Operational Monitoring Platforms
Provides real-time visualization of infrastructure status and alerts.
Notification Systems
Sends automatic alerts to technicians via email or internal platforms.