The FP3–IAM4RAIL flagship project aims to transform the rail sector by providing innovative technical solutions, leveraging cutting-edge technologies to minimise asset lifecycle costs, enhance safety and improve reliability, availability and capacity of railroad systems. Focusing on infrastructure and rolling stock, it seeks to establish a common European asset management framework comprising green, digital and safe solutions. The project emphasises cost-effective asset management, automated construction and environmentally friendly production. Its goal is integrating asset status information with TMS (Train Management Systems) for optimised decision-making and lifecycle management. Through research, development and demonstrations across Europe, the project targets mostly TRL 6/7 for integrated solutions, with a focus on future certification and validation.
The three main objectives of FP3–IAM4RAIL are:
1. Cost-Effective Asset Management with Digital Technologies: develop a European asset management framework using digital technologies and data analytics for infrastructure and rolling stock interventions. This includes integrating supply chain information, TMS connectivity, advanced diagnostics and efficient maintenance planning through Condition-Based Maintenance (CBM) methodologies and algorithms for freight rail applications.
2. Advanced and Holistic Asset Decisions: develop methodologies and technologies for informed lifecycle decisions, including probabilistic models for lifecycle costs, cooperative diagnosis and AI-based decision support. These solutions enhance decision-making, predict anomalies and optimise maintenance strategies.
3. Environmentally Friendly Asset Production: establish environmentally friendly production processes for resilient assets by leveraging innovative design principles, fabrication techniques and materials, ensuring sustainability and durability. This will lead to significant improvements in the railway sector.
Demonstration activities are grouped into five clusters:
· Cluster B - Wayside Monitoring and TMS Link: securely collecting, storing and analysing wayside asset data to enhance predictive maintenance and intelligent asset management and establishing the link between asset information and TMS.
· Cluster C - Rolling Stock Asset Management: on-board and wayside monitoring technologies for rolling stock or mounted on it.
· Cluster D - Infrastructure Asset Management: addressing maintenance planning, track systems management, innovative infrastructure applications and civil asset management, based on extracting asset condition from infrastructure monitoring.
· Cluster E - Railway Digital Twins: implementing Digital Twins to optimise asset-related processes.
· Cluster F - Environment, User, and Worker Friendly Railway Assets: showcasing environmentally, user and worker-friendly rail assets, including unmanned, automatic and/or robotic inspections and interventions.
