Automation in tunneling
Key challenges in a nutshell
- Real-time steering of TBM based on monitored data and artificial intelligence AI
- Development of Tunnel Information Model
- Account for geotechnical uncertainties
Short description of the technology
Real-time steering of TBM requires to be able to update predictive models during the construction phase using monitoring data (see 1.1 above) to assist engineers to make informed decisions and optimization. In addition to the data monitoring, it requires an equivalent Building Information Model (BIM), also known as Tunnel Information Model (TIM) integrating the geological data, the built environment and predicted ground models with potentially surface data (e.g. subsidence or vibrations). Ideally, the automation should account for inherent geotechnical uncertainties and to enable real-time automation surrogate models might be used together with Machine Learning techniques to bypass the long computation costs of the modelled process.
State of the Art: technology in existing gravitational wave detectors / TRL
Intended use in the frame of the Einstein Telescope
Improvements needed: Technological challenge for the Einstein Telescope
Economic perspectives of participation beyond the ET applications
We are open to any companies’ proposals.