BE Seminars

Asset management structure for the Full Remote Alignment System

by Mamta Shrikrishna Dandekar (CERN)

Europe/Zurich
6/2-024 - BE Auditorium Meyrin (CERN)

6/2-024 - BE Auditorium Meyrin

CERN

114
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Description

Abstract:

"The Full Remote Alignment System (FRAS) is a multi-sensor alignment monitoring and remote adjustment system being developed as part of the HL-LHC project. It will enable the remote alignment of 200m of motorized components between Q1 and Q5 on both sides of the ATLAS and CMS experiments. The FRAS will consist of approximately 1,150 sensors and 344 actuators, generating a vast amount of data, such as sensor parameters, calibration values, local coordinate systems, and more, all organized in hierarchical relationships. To effectively manage these parameters, a robust data and asset management approach is essential. This presentation will showcase the design and development of the FRAS asset management structure using EAM and other CERN tools, covering asset types, naming conventions, work orders, data storage, and integration with other databases."

Registration
Participants
Participants
  • Amer Ajanovic
  • David Widegren
  • Dimitris Lampridis
  • Edouard Grenier-Boley
  • Francois-Xavier Nuiry
  • Frederic Le Pimpec
  • Gianluigi Arduini
  • Giulia Romagnoli
  • Gustavo Perez Segurana
  • Hannes Gamper
  • Martin Dusek
  • Michele Battistin
  • Peter Sollander
  • Praneeth Sarvade
  • Tiago Silva
  • +17
Zoom Meeting ID
64525275775
Host
Marta Alegria
Alternative hosts
John Cassar, Pascal Pignereau
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