SHAPE: Safe Hydrogen Agile Pipeline Engineering with XR and AI-Enhanced Digital Twins
The Safe Hydrogen Agile Pipeline Engineering (SHAPE) project aims to develop and study an innovative Digital Twin (DT) system enhanced by eXtended Reality (XR) and Artificial Intelligence (AI) technologies to improve hydrogen pipeline management. This system connects a custom-built pipeline facility with an immersive XR environment, enabling real-time, bidirectional data exchange. By leveraging AI capabilities for leak detection, risk analysis, and anomaly prediction, the system enhances operational safety, efficiency, and reliability. The XR environment offers intuitive navigation, immersive data visualization, and interactive training experiences, supported by intelligent virtual agents and embodied avatars to facilitate collaboration and decision-making. By sharing these developments, we aim to foster discussions with the workshop audience on advancing XR and AI-enabled DT technologies for safer and more sustainable hydrogen pipeline operations.
Authors
- Bryson Lawton (ORCID: https://orcid.org/0000-0003-1624-7406)
- Brian J. Wells (ORCID: https://orcid.org/0000-0001-7310-6525)
- Nanjia Wang (ORCID: https://orcid.org/0000-0003-2276-512X)
- Kangsoo Kim (ORCID: https://orcid.org/0000-0002-0925-378X)
- Bob Brennan
- Sina Rezvani (ORCID: https://orcid.org/0000-0003-1349-5703)
- Frank Maurer (ORCID: https://orcid.org/0000-0002-0240-715X)
- Simon Park (ORCID: https://orcid.org/0000-0001-8948-7641)
- Ryan Kang
- Muskan Sarvesh
- Ron Hugo
- Hyeongil Nam
Institutions
- University of Calgary (CA)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vrw66409.2025.00222
- Citations
- 2
- Primary Topic
- Offshore Engineering and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.29