ICALEPCS2015 - List of Authors (Augustinus, A.)

Paper	Title	Page
WEPGF018	Service Asset and Configuration Management in ALICE Detector Control System	729
	M. Lechman, A. Augustinus, P.M. Bond, P.Ch. Chochula, A.N. Kurepin, O. Pinazza CERN, Geneva, Switzerland A.N. Kurepin RAS/INR, Moscow, Russia M. Lechman IP SAS, Bratislava, Slovak Republic O. Pinazza INFN-Bologna, Bologna, Italy
	ALICE (A Large Ion Collider Experiment) is one of the big LHC (Large Hadron Collider) detectors at CERN. It is composed of 19 sub-detectors constructed by different institutes participating in the project. Each of these subsystems has a dedicated control system based on the commercial SCADA package "WinCC Open Architecture" and numerous other software and hardware components delivered by external vendors. The task of the central controls coordination team is to supervise integration, to provide shared services (e.g. database, gas monitoring, safety systems) and to manage the complex infrastructure (including over 1200 network devices and 270 VME and power supply crates) that is used by over 100 developers around the world. Due to the scale of the control system, it is essential to ensure that reliable and accurate information about all the components - required to deliver these services along with relationship between the assets - is properly stored and controlled. In this paper we will present the techniques and tools that were implemented to achieve this goal, together with experience gained from their use and plans for their improvement.
	Poster WEPGF018 [11.378 MB]
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WEPGF147	ALICE Monitoring in 3-D	1049
	O. Pinazza INFN-Bologna, Bologna, Italy A. Augustinus, P.M. Bond, P.Ch. Chochula, M. Lechman, J. Niedziela CERN, Geneva, Switzerland A.N. Kurepin RAS/INR, Moscow, Russia
	The ALICE experiment is a complex hardware and software device, monitored and operated with a control system based on WinCC OA. ALICE is composed of 19 detectors and installed in a cavern along the LHC at CERN; each detector is a set of modular elements, assembled in a hierarchical model called Finite State Machine. A 3-D model of the ALICE detector has been realized, where all elements of the FSM are represented in their relative location, giving an immediate overview of the status of the detector. For its simplicity, it can be a useful tool for the training of operators. The development is done using WinCC OA integrated with the JCOP fw3DViewer, based on the AliRoot geometry settings. Extraction and conversion of geometry data from AliRoot requires the usage of conversion libraries, which are currently being implemented. A preliminary version of ALICE 3-D is now deployed on the operator panel in the ALICE Run Control Centre. In the next future, the 3-D panel will be available on a big touch screen in the ALICE Visits Centre, providing visitors with the unique experience of navigating the experiment from both inside and out.
	Poster WEPGF147 [1.282 MB]
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THHA3O01	The Evolution of the ALICE Detector Control System	1087
	P.Ch. Chochula, A. Augustinus, P.M. Bond, A.N. Kurepin, M. Lechman, O. Pinazza CERN, Geneva, Switzerland A.N. Kurepin RAS/INR, Moscow, Russia O. Pinazza INFN-Bologna, Bologna, Italy
	The ALICE Detector Control System has provided its service since 2007. Its operation in the past years proved that the initial design of the system fulfilled all expectations and allowed the evolution of the detectors and operational requirements to follow. In order to minimize the impact of the human factor, many procedures have been optimized and new tools have been introduced in order to allow the operator to supervise about 1 000 000 parameters from a single console. In parallel with the preparation for new runs after the LHC shutdown a prototyping for system extensions which shall be ready in 2018 has started. New detectors will require new approaches to their control and configuration. The conditions data, currently collected after each run, will be provided continuously to a farm containing 100 000 CPU cores and tens of PB of storage. In this paper the DCS design, deployed technologies, and experience gained during the 7 years of operation will be described and the initial assumptions with the current setup will be compared. The current status of the developments for the upgraded system, which will be put into operation in less than 3 years from now, will also be described.
	Slides THHA3O01 [4.556 MB]
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Paper

Title

Page

Service Asset and Configuration Management in ALICE Detector Control System

729

M. Lechman, A. Augustinus, P.M. Bond, P.Ch. Chochula, A.N. Kurepin, O. Pinazza
CERN, Geneva, Switzerland
A.N. Kurepin
RAS/INR, Moscow, Russia
M. Lechman
IP SAS, Bratislava, Slovak Republic
O. Pinazza
INFN-Bologna, Bologna, Italy

ALICE (A Large Ion Collider Experiment) is one of the big LHC (Large Hadron Collider) detectors at CERN. It is composed of 19 sub-detectors constructed by different institutes participating in the project. Each of these subsystems has a dedicated control system based on the commercial SCADA package "WinCC Open Architecture" and numerous other software and hardware components delivered by external vendors. The task of the central controls coordination team is to supervise integration, to provide shared services (e.g. database, gas monitoring, safety systems) and to manage the complex infrastructure (including over 1200 network devices and 270 VME and power supply crates) that is used by over 100 developers around the world. Due to the scale of the control system, it is essential to ensure that reliable and accurate information about all the components - required to deliver these services along with relationship between the assets - is properly stored and controlled. In this paper we will present the techniques and tools that were implemented to achieve this goal, together with experience gained from their use and plans for their improvement.

Poster WEPGF018 [11.378 MB]

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WEPGF147

ALICE Monitoring in 3-D

1049

O. Pinazza
INFN-Bologna, Bologna, Italy
A. Augustinus, P.M. Bond, P.Ch. Chochula, M. Lechman, J. Niedziela
CERN, Geneva, Switzerland
A.N. Kurepin
RAS/INR, Moscow, Russia

The ALICE experiment is a complex hardware and software device, monitored and operated with a control system based on WinCC OA. ALICE is composed of 19 detectors and installed in a cavern along the LHC at CERN; each detector is a set of modular elements, assembled in a hierarchical model called Finite State Machine. A 3-D model of the ALICE detector has been realized, where all elements of the FSM are represented in their relative location, giving an immediate overview of the status of the detector. For its simplicity, it can be a useful tool for the training of operators. The development is done using WinCC OA integrated with the JCOP fw3DViewer, based on the AliRoot geometry settings. Extraction and conversion of geometry data from AliRoot requires the usage of conversion libraries, which are currently being implemented. A preliminary version of ALICE 3-D is now deployed on the operator panel in the ALICE Run Control Centre. In the next future, the 3-D panel will be available on a big touch screen in the ALICE Visits Centre, providing visitors with the unique experience of navigating the experiment from both inside and out.

Poster WEPGF147 [1.282 MB]

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THHA3O01

The Evolution of the ALICE Detector Control System

1087

P.Ch. Chochula, A. Augustinus, P.M. Bond, A.N. Kurepin, M. Lechman, O. Pinazza
CERN, Geneva, Switzerland
A.N. Kurepin
RAS/INR, Moscow, Russia
O. Pinazza
INFN-Bologna, Bologna, Italy

The ALICE Detector Control System has provided its service since 2007. Its operation in the past years proved that the initial design of the system fulfilled all expectations and allowed the evolution of the detectors and operational requirements to follow. In order to minimize the impact of the human factor, many procedures have been optimized and new tools have been introduced in order to allow the operator to supervise about 1 000 000 parameters from a single console. In parallel with the preparation for new runs after the LHC shutdown a prototyping for system extensions which shall be ready in 2018 has started. New detectors will require new approaches to their control and configuration. The conditions data, currently collected after each run, will be provided continuously to a farm containing 100 000 CPU cores and tens of PB of storage. In this paper the DCS design, deployed technologies, and experience gained during the 7 years of operation will be described and the initial assumptions with the current setup will be compared. The current status of the developments for the upgraded system, which will be put into operation in less than 3 years from now, will also be described.

Slides THHA3O01 [4.556 MB]

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