Author: Voitier, A.
Paper Title Page
MOPGF021 Database Archiving System for Supervision Systems at CERN: a Successful Upgrade Story 1
 
  • P. Golonka, M. Gonzalez-Berges, J. Hofer, A. Voitier
    CERN, Geneva, Switzerland
 
  Almost 200 controls applications, in domains like LHC magnet protection, cryogenics and vacuum systems, cooling-and-ventilation or electrical network supervision, have been developed and are currently maintained by the CERN Industrial Controls Group in close collaboration with several equipment groups. The supervision layer of these systems is based on the same technologies as 400 other systems running in the LHC Experiments (e.g. WinCC Open Architecture, Oracle). During the last two-year LHC Long Shutdown 1, the 200 systems have been successfully migrated from a file-based archiver to a centralized infrastructure based on Oracle databases. This migration has homogenized the archiving chain for all CERN systems, and at the same time has presented a number of additional challenges. The paper presents the design, the necessary optimizations and the migration process that allowed us to meet unprecedented data-archiving rates (unachievable for the previously used system), and liaise with the existing long-term storage system (LHC LoggingDB) to assure data-continuity.  
poster icon Poster MOPGF021 [3.505 MB]  
 
WEPGF068 Formalizing Expert Knowledge in order to Analyse CERN's Control Systems 1
 
  • A. Voitier, M. Gonzalez-Berges, F.M. Tilaro
    CERN, Geneva, Switzerland
  • M. Roshchin
    Siemens AG, Corporate Technology, München, Germany
 
  The automation infrastructure needed to reliably run CERN's accelerator complex and its experiments produces large and diverse amounts of data, besides physics data. Over 600 industrial control systems with about 45 million parameters store more than 100 terabytes of data per year. At the same time a large technical expertise in this domain is collected and formalized. The study is based on a set of use cases classified into three data analytics domains applicable to CERN's control systems: online monitoring, fault diagnosis and engineering support. A known root cause analysis concerning gas system alarms flooding was reproduced with Siemens' Smart Data technologies and its results were compared with a previous analysis. The new solution has been put in place as a tool supporting operators during breakdowns in a live production system. The effectiveness of this deployment suggests that these technologies can be applied to more cases. The intended goals would be to increase CERN's systems reliability and reduce analysis efforts from weeks to hours. It also ensures a more consistent approach for these analyses by harvesting a central expert knowledge base available at all times.  
poster icon Poster WEPGF068 [1.468 MB]  
 
WEPGF069 Integrating Web-Based User Interface Within Cern's Industrial Control System Infrastructure 1
 
  • A. Voitier, P. Golonka, M. Gonzalez-Berges
    CERN, Geneva, Switzerland
 
  For decades the user interfaces of industrial control systems have been primarily based on native clients. However, the current IT trend is to have everything on the web. This can indeed bring some advantages such as easy deployment of applications, extending HMIs with turnkey web technologies, and apply to supervision interfaces the interaction model used on the web. However, this also brings its share of challenges: security management, ability to spread the load and scale out to many web clients, etc… In this paper, the architecture of the system that was devised at CERN to decouple the production WINCC-OA based supervision systems from the web frontend and the associated security implications are presented together with the transition strategy from legacy panels to full web pages using a stepwise replacement of widgets (e.g. visualization widgets) by their JavaScript counterpart. This evolution results in the on-going deployment of web-based supervision interfaces proposed to the operators as an alternative for comparison purposes.  
poster icon Poster WEPGF069 [0.975 MB]