Author: Tagg, J.
Paper Title Page
MOPV044 Lessons Learned Moving from Pharlap to Linux RT 257
 
  • C. Charrondière, O.Ø. Andreassen, D. Sierra-Maíllo Martínez, J. Tagg, T. Zilliox
    CERN, Geneva, Switzerland
 
  The start of the Advanced Proton Driven Plasma Wakefield Acceleration Experiment (AWAKE) facility at CERN in 2016 came with the need for a continuous image acquisition system. The international scientific collaboration responsible for this project requested low and high resolution acquisition at a capture rate of 10Hz and 1 Hz respectively. To match these requirements, GigE digital cameras were connected to a PXI system running PharLap, a real-time operating system, using dual port 1GB/s network cards. With new requirements for a faster acquisition with higher resolution, it was decided to add 10GB/s network cards and a Network Attached Storage (NAS) directly connected to the PXI system to avoid saturating the network. There was also a request to acquire high-resolution images on several cameras during a limited duration, typically 30 seconds, in a burst acquisition mode. To comply with these new requirements PharLap had to be abandoned and replaced with Linux RT. This paper describes the limitation of the PharLap system and the lessons learned during the transition to Linux RT. We will show the improvement of CPU stability and data throughput reached.  
poster icon Poster MOPV044 [0.525 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV044  
About • Received ※ 08 October 2021       Revised ※ 18 October 2021       Accepted ※ 20 November 2021       Issue date ※ 28 February 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
TUPV039 A Reliable Monitoring and Control System for Vacuum Surface Treatments 492
 
  • J. Tagg, E. Bez, M. Himmerlich, A.K. Reascos Portilla
    CERN, Geneva, Switzerland
 
  Secondary electron yield (SEY) of beam-screens in the LHC puts limits on the performance of the accelerator. To ramp up the luminosity for the HiLumi LHC project, the vacuum surface coatings team are coming up with ways to treat the surfaces to control the electron cloud and bring the SEY down to acceptable levels. These treatments can take days to weeks and need to work reliably to be sure the surfaces are not damaged. An embedded control and monitoring system based on a CompactRIO is being developed to run these processes in a reliable way. This paper describes the techniques used to create a LabVIEW-based real-time embedded system that is reliable as well as easy to read and modify. We will show how simpler approaches can in some situations yield better solutions.  
poster icon Poster TUPV039 [0.504 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV039  
About • Received ※ 08 October 2021       Revised ※ 18 October 2021       Accepted ※ 20 November 2021       Issue date ※ 11 March 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)