Performance, cost, and risk
What are the performance, cost, and risk impacts of implementing this product?
- Performance: Facilitates predictive maintenance for railway systems by monitoring actual health and allows for advanced and accurate simulations of future asset health based on expected behaviors and external influences.
- Cost: Substantial data collection and processing costs are involved due to the necessity for advanced methods (e.g., laser scanning).
- Risk: The complexity associated with developing and integrating digital twins into decision-making processes.
Implementation requirements
What capabilities would a business/organization/institution need to have to implement this product?
- Processes: Data collection, processing, and digital twin integration workflows.
- Resources: Mobile laser scanning equipment, computing infrastructure, railway maintenance teams.
- Competences: Expertise in point cloud analysis, digital twin creation, and railway maintenance and asset management.
- Technologies: Point cloud processing software (e.g., CloudCompare), visualization tools (e.g., Unity), digital twin platforms (e.g., Bentley iTwin).
Related works
- Dekker et al. (2023). Point Cloud Analysis of Railway Infrastructure: A Systematic Literature Review.
- Ton (2021). Annotated Mobile Laser Scans of the Dutch Railway Environment (Dataset).
- Ton (2022). Labelled High Resolution Point Cloud Dataset of 15 Catenary Arches in the Netherlands (Dataset).
- Ton (2024). Point Taken: Translating the Physical Rail Domain to Cyber Space Using Point Clouds from Mobile Laser Scanning (Thesis).
- Ton et al. (2023). Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective.
- Ton et al. (2024). Immersive Visualisation of Point Cloud Data of Railway Environments.
- Weik et al. (2022). DFT modeling approach for operational risk assessment of railway infrastructure.
Contact information
For further inquiries regarding this product, feel free to get in touch with:
- Bram Ton, Saxion University of Applied Sciences. b [dot] t [dot] ton [at] saxion [dot] nl
- Matthias Volk, Eindhoven University of Technology. m [dot] volk [at] tue [dot] nl
