ICALEPCS2015 - List of Authors (Voitier, A.)

Paper	Title	Page
MOPGF021	Database Archiving System for Supervision Systems at CERN: a Successful Upgrade Story	129
	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 MOPGF021 [3.510 MB]
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WEPGF068	Formalizing Expert Knowledge in Order to Analyse CERN's Control Systems	857
	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 WEPGF068 [1.500 MB]
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WEPGF069	Integrating Web-Based User Interface Within Cern's Industrial Control System Infrastructure	861
	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 WEPGF069 [0.980 MB]
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Paper

Title

Page

Database Archiving System for Supervision Systems at CERN: a Successful Upgrade Story

129

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 MOPGF021 [3.510 MB]

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reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPGF068

Formalizing Expert Knowledge in Order to Analyse CERN's Control Systems

857

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 WEPGF068 [1.500 MB]

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reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPGF069

Integrating Web-Based User Interface Within Cern's Industrial Control System Infrastructure

861

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 WEPGF069 [0.980 MB]

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reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)