Difference: StrategyDraft (1 vs. 6)

Revision 6
17 Jun 2009 - Main.DanProtopopescu
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DCS Strategy Draft (In preparation)

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This is the draft of the PANDA DCS Strategy Document which will be released in PDF (from LaTeX) once finalised.
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This is the early draft of the PANDA DCS Strategy Document which will be released in PDF (from LaTeX) once finalised.
 

Contributors: Dan Protopopescu
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  the detector itself, possibly some of the HESR beam parameters. It must control HV and LV supplies (currents, voltages, trips, ramps and other procedures that must be implemented), the gas system (mixtures and flow) and the cooling system (coolant flow, temperature regulation, dew point monitoring).
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DCS can be seen as the cerebral cortex of the whole experiment since it controls vital processes as machine state, run start/stop, must handle critical conditions and at the same time supervise the data acquisition parameters and data quality.
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DCS, which we would envisage rather as an Experiment Control System (ECS), can be seen as the cerebral cortex of the whole experiment since it controls vital processes as machine state, run start/stop, must handle critical conditions and at the same time supervise the data acquisition parameters and data quality.
 

DCS_small.png DIAGRAM: DCS Interrelations
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Input from other PANDA subgroups

Information from the other subgroups (detectors, magner, target, DAQ) is important from the start, as they should provide the 'requirements' for the DCS.
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MonALISA will be an 'umbrella' framework that will integrate physics data (from online analysis) with detector parameters (from native DCS components) into a unified user interface (UUI).
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AFECS will be an 'umbrella' framework that will integrate physics data (from online analysis) with detector parameters (from native and custom DCS components) into a unified user interface (UUI).
 

Tasks

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The detector control system must provide safe and correct operation of the PANDA experiment. Subject to a complete requirements analysis, the aim aim is to have a linux-based system built mainly from free software components. The best candidate framework is UNICOS (based on PVSS II which is a commercial product), adopted by the FAIR accelerator controls group, since this choice guarantees sharing expertise and also mutual support between PANDA and FAIR. Manpower and expertise will be needed for the implementation of EPICS and MonALISA into a coherent solution across all components of the detector, target and accelerator interface and then coordinate the deployment, benchmarking and on-site testing of the complete system, with FAIR assistance.
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The detector control system must provide safe and correct operation of the PANDA experiment. Subject to a complete requirements analysis, the aim aim is to have a linux-based system built mainly from free software components. The best candidate framework is UNICOS (based on PVSS II which is a commercial product), adopted by the FAIR accelerator controls group, since this choice guarantees sharing expertise and also mutual support between PANDA and FAIR. Manpower and expertise will be needed for the implementation of EPICS and AFECS into a coherent solution across all components of the detector, target and accelerator interface and then coordinate the deployment, benchmarking and on-site testing of the complete system, with FAIR assistance.
 

Output

The final product of the DCS effort will be be a complete monitoring and control software system installed and running well ahead of the
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first tests of the fully assembled PANDA detector. PANDA must provide expertise and essential components of the computing infrastructure needed for running this system and will provide FAIR with specifications for the procurement of the other hardware components.
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first tests of the fully assembled PANDA detector. PANDA must provide expertise and essential components of the computing infrastructure needed for running this system and will provide FAIR with specifications for the procurement of the other hardware components.
 

Justification

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There are many detector control systems out there. Well established frameworks as EPICS, PVSS, used for large experiments, LabView for smaller scale experiments or independent detector subsystems (such as target), as well as full implementations developed in-house. Which is the best choice depends a lot on the size of the experiment, the management of the subparts (many independent group might build subdetectors off-site and they must be all integrated at a later stage), costs (free versus commercial frameworks) and the expertise available within the collaboration (members with previous experience from other experiments).
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There are many detector control systems out there. Well established frameworks as EPICS, PVSS, used for large experiments, LabVIEW for smaller scale experiments or independent detector subsystems (such as target), as well as full implementations developed in-house. Which is the best choice depends a lot on the size of the experiment, the management of the subparts (many independent group might build subdetectors off-site and they must be all integrated at a later stage), costs (free versus commercial frameworks) and the expertise available within the collaboration (members with previous experience from other experiments).
 

For PANDA the candidates would be: 1) EPICS because our group's experience from Jlab where it is used as a slow control system both by accelerator
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and experiments. A disadvantag of EPICS is the lack of an embedded archival mechanism. 2) PVSS/UNICOS (from LHC) used by FAIR accelerator division with whom we could pool the knowledge and have easy interfacing 3) MonALISA because it high abstractization level, robustness, portability and scalability, embedded database, browser and/or Java/GUI based user interface. LabView, although promoted by some GSI colleagues for its simplicity is not considered feasible for such a large experimental setup and is not free software.

From within the frameworks enumerated above, EPICS comes as the best choice by far. EPICS is an established open-source system that presently benefits of support at GSI (within the HADES group). EPICS could be implemented and tested at FAIR by the time PANDA (possibly CBM and NuSTAR) needs it, benefit fron the provision of in-house expertise at FAIR, technical support and possibly manpower.
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and experiments. A disadvantage of EPICS is the lack of an embedded archival mechanism, but this can be provided by the upper layer component. 2) PVSS/UNICOS (from LHC) used by FAIR accelerator division with whom we could pool the knowledge and have easy interfacing 3) MonALISA was considered because it high abstractization level, robustness, portability and scalability, embedded database, browser and/or Java/GUI based user interface. 4) AFECS, a very sophisticated system developed by JLAB for future experiments like GlueX and CLAS12 5) LabVIEW, although promoted by some GSI colleagues for its simplicity is not considered feasible for such a large experimental setup and is not free software. However, LabVIEW could be used for subsystems like Target and integrated at either EPICS or AFECS level.

From within the frameworks enumerated above, EPICS comes as the best choice by far. EPICS is an established open-source system that presently benefits of support at GSI (within the HADES group). EPICS could be implemented and tested at FAIR by the time PANDA (possibly CBM and NuSTAR) needs it, benefit from the provision of in-house expertise at FAIR, technical support and possibly manpower.
 

Cost

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Costs divide in three categories: 1) know-how management (organizing workshops where DCS group members meet experts from UNICOS and MonALISA, inviting experts from FAIR or CERN), 2) hardware for testing 3) in the long term, providing the mission critical components for the final on-site setup.
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Costs divide in three categories: 1) know-how management (organizing workshops where DCS group members meet experts from UNICOS and MonALISA, AFECS, inviting experts from JLAB, FAIR or CERN), 2) hardware for testing 3) in the long term, providing the mission critical components for the final on-site setup.
 

Project Timeline

The DCS subgroup in PANDA has been established during the September 2007 PANDA collaboration meeting at GSI [1]. The aim is to decide (and have some preliminary trials of) the framework for the PANDA DCS by the end of 2008. The architecture of the PANDA DCS
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and the individual components will be then ready for implementation and deployment, respectively, by the end of 2009. Actual testing, benchmarking, component development and streamlining will happen along with the completion of the detector until commissioning date [2].
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and the individual components will be then ready for implementation and deployment, respectively, by the end of 2009. Actual testing, benchmarking, component development and streamlining will happen along with the completion of the detector until commissioning date [2].
 

Risk assessment

Implementation of EPICS with the support of GSI is the one of the least risky strategies.
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If PANDA DCS will contain core slow controls components from MonALISA, then the success of the enterprise will depend on development of MonALISA by the CERN/CalTech group and the development of interfaces by ourselves (PANDA). Succesful tests of EPICS-MonALISA interfacing have been carried out at GSI.
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If PANDA DCS will contain core slow controls components from AFECS, then the success of the enterprise will depend on development of AFECS by the JLAB group and the development of custom interfaces (like LabVIEW-AFECS) by ourselves (PANDA/GSI). Successful tests of EPICS-MonALISA interfacing EPICS and MonALISA for example have been carried out at GSI.
 

META FILEATTACHMENT attr="" comment="DCS Interrelations" date="1209045196" name="DCS_small.png" path="DCS_small.png" size="63756" user="DanProtopopescu" version="1.1"
Revision 5
21 Oct 2008 - Main.HolgerBrand
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DCS Strategy Draft (In preparation)

This is the draft of the PANDA DCS Strategy Document which will be released in PDF (from LaTeX) once finalised.
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Contributors: Dan Protopopescu, Holger Brand
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Contributors: Dan Protopopescu
 

Revision 4
21 Oct 2008 - Main.DanProtopopescu
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META TOPICPARENT name="WebHome"

DCS Strategy Draft (In preparation)

This is the draft of the PANDA DCS Strategy Document which will be released in PDF (from LaTeX) once finalised.
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Contributors: Dan Protopopescu, Holger Brand
 

Background

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Tasks

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The detector control system must provide safe and correct operation of the PANDA experiment. The aim is to have a linux-based system built mainly from free software components. The best candidate framework is UNICOS, implemented at CERN and adopted by the FAIR accelerator controls group, since this choice
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The detector control system must provide safe and correct operation of the PANDA experiment. Subject to a complete requirements analysis, the aim aim is to have a linux-based system built mainly from free software components. The best candidate framework is UNICOS (based on PVSS II which is a commercial product), adopted by the FAIR accelerator controls group, since this choice
  guarantees sharing expertise and also mutual support between PANDA and FAIR. Manpower and expertise will be needed for the implementation of EPICS and MonALISA into a coherent solution across all components of the detector, target and accelerator interface and then coordinate the deployment, benchmarking and on-site testing of
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Justification

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There are many detector control systems out there. Well established frameworks as EPICS, PVSS, used for large experiments, LabView for small scale
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There are many detector control systems out there. Well established frameworks as EPICS, PVSS, used for large experiments, LabView for smaller scale
  experiments or independent detector subsystems (such as target), as well as full implementations developed in-house. Which is the best choice depends a lot on the size of the experiment, the management of the subparts (many independent group might build subdetectors off-site and they must be all integrated at a later stage), costs (free versus commercial frameworks) and the expertise available within the collaboration (members with previous
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  database, browser and/or Java/GUI based user interface. LabView, although promoted by some GSI colleagues for its simplicity is not considered feasible for such a large experimental setup and is not free software.
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From within the frameworks enumerated above, EPICS comes as the best choice by far. EPICS is an established open-source system that benefits of support at GSI. EPICS could be implemented and tested at FAIR by the time PANDA needs it, benefit fron the provision of in-house expertise at FAIR, technical support and possibly manpower.
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From within the frameworks enumerated above, EPICS comes as the best choice by far. EPICS is an established open-source system that presently benefits of support at GSI (within the HADES group). EPICS could be implemented and tested at FAIR by the time PANDA (possibly CBM and NuSTAR) needs it, benefit fron the provision of in-house expertise at FAIR, technical support and possibly manpower.
 

Cost

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Implementation of EPICS with the support of GSI is the one of the least risky strategies. If PANDA DCS will contain core slow controls components from MonALISA, then the success of the enterprise will depend on
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development of MonALISA by the CERN/CalTech group and the development of interfaces by ourselves (PANDA). Work in this direction has already started with succesful tests of EPICS-MonALISA interfacing done at GSI.
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development of MonALISA by the CERN/CalTech group and the development of interfaces by ourselves (PANDA). Succesful tests of EPICS-MonALISA interfacing have been carried out at GSI.
 

META FILEATTACHMENT attr="" comment="DCS Interrelations" date="1209045196" name="DCS_small.png" path="DCS_small.png" size="63756" user="DanProtopopescu" version="1.1"
Revision 3
04 Jul 2008 - Main.ChristopherHuhn
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Revision 2
24 Apr 2008 - Main.DanProtopopescu
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Revision 2 is unreadable
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