Speaker
Description
The increasing dimensions and constraints for next-generation accelerators are driving the development of new methods and strategies for automated alignment measurements. While the existing LHC collimator survey train has demonstrated significant potential, it also revealed the drawbacks and shortcomings of such a system.
A next generation survey train is therefore under development, taking into account all the lessons learnt from the previous version. At present, the focus is on developing the measurement system. Computer vision metrology stands out as the most promising technology for rapid, non-contact measurements, reducing the risk of interference with the accelerator installations. A prototype has been built and will be fully qualified on a test setup in 2025.
This paper describes the general considerations for such a system along with the studies and implementation of the measurement solution. The results of first measurements will be compared to those from classical measurement methods.
