i-WASP—Intelligent and Wireless Technologies for Automatically Generated Shift Protocols in Conventional Tunnelling
Abstract The research project i‑WASP, a collaboration of specialized German and Austrian companies and research institutions, looks at the question of how complex processes on a conventional tunneling construction site can be automatically recorded, analyzed, and classified through the development of innovative solutions for data acquisition, transmission, and processing. A trained artificial intelligence will be able to automatically produce accurate minute diagrams based on accelerometer and positional data gathered from the construction machines.
Authors
- Christoph Klaproth
- Stefan Auderer
- Clemens Shaw
- Peter J. Gruber (ORCID: https://orcid.org/0000-0002-7356-905X)
- Christian Thienert
- Marlène C. Villeneuve (ORCID: https://orcid.org/0000-0001-6001-0786)
- Lukas Staggl
- Fabian Dengg
- Lara Gutberlet
- Claudia Ungers
- Harald Bittmann
Institutions
- Montanuniversität Leoben (AT)
- Teamtechnik (Germany) (DE)
- Research Association for Tunnels and Transport Facilities (DE)
Publication Details
- Journal
- BHM Berg- und Hüttenmännische Monatshefte
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1007/s00501-024-01531-y
- Primary Topic
- Tunneling and Rock Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00