How It Works
From Pipeline Data to Intelligent Decisions
H2-PIS transforms raw pipeline data into actionable intelligence by combining CFD simulation, digital twin technology, and AI-driven risk analysis in one integrated platform.
The result: A complete decision-support system for safe hydrogen pipeline repurposing.
— The H2-PIS Workflow
01
Asset Data Collection
Gather pipeline geometry, materials, operating history, and inspection records.
02
CFD Simulation Engine
Model hydrogen flow dynamics, pressure, and thermal behavior.
03
Digital Twin Generation
Create a virtual replica for real-time monitoring and scenario testing.
04
AI Risk Assessment
Apply machine learning to predict integrity risks and remaining life.
05
Intelligent Decision Support
Deliver readiness scores, risk indices, and actionable recommendations.
— Five Technologies. One Intelligent System.
Asset Data Collection
- • Asset & material data
- • Operating conditions
- • Inspection records
CFD Simulation Engine
- • Asset & material data
- • Operating conditions
- • Inspection records
Digital Twin Generation
- • Asset & material data
- • Operating conditions
- • Inspection records
AI Risk Assessment
- • Asset & material data
- • Operating conditions
- • Inspection records
Intelligent Decision Support
- • Asset & material data
- • Operating conditions
- • Inspection records
— From Data to Decision
— What the Operator Receives
Hydrogen Readiness Score
87%
High Readiness
Integrity Risk Index
Medium
Within limits
Digital Twin Dashboard
Actionable Recommendations
- Optimize operating pressure
- Schedule inspection window
- Review material compatibility
- Update monitoring thresholds
