Difference between revisions of "Monitoring: Outline of Tasks and Issues"

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## Online and near-online
 
## Online and near-online
 
## Provide feedback to insure data quantity and quality
 
## Provide feedback to insure data quantity and quality
## All releveant areas:
+
## All relevant areas:
 
### GlueX Detector
 
### GlueX Detector
 
### Detector electronics
 
### Detector electronics
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## Personnel training/certification/qualification
 
## Personnel training/certification/qualification
 
## Shift-taking accounting
 
## Shift-taking accounting
# Types of data: how is the data presented
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## Shift-takers' refreshment supply
 +
# Types of data: how data is produced
 
## Event based: in the data stream
 
## Event based: in the data stream
 
### Triggered detector events
 
### Triggered detector events
 
### Special events
 
### Special events
 
## Slow controls: on-demand (usually), small data volume
 
## Slow controls: on-demand (usually), small data volume
### EPICS or EPICS-like
+
### EPICS or EPICS-like devices
 
### stand-alone systems
 
### stand-alone systems
 +
## Video
 
## Web-based variables
 
## Web-based variables
 
## Monitoring applications
 
## Monitoring applications
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## Accelerator personnel
 
## Accelerator personnel
 
## Detector and systems experts
 
## Detector and systems experts
## Collaboration
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## Collaborators
 
### On-site
 
### On-site
 
### Off-site
 
### Off-site

Revision as of 16:27, 3 April 2008

  1. Scope: what to monitor and why
    1. Online and near-online
    2. Provide feedback to insure data quantity and quality
    3. All relevant areas:
      1. GlueX Detector
      2. Detector electronics
      3. Hall D systems
      4. relevant Accelerator systems
      5. relevant IT systems
      6. relevant Facilities Management systems
  2. Beyond scope: what should be done by other means
    1. Safety
      1. Personnel
      2. Equipment
    2. Beam time accounting
    3. Personnel training/certification/qualification
    4. Shift-taking accounting
    5. Shift-takers' refreshment supply
  3. Types of data: how data is produced
    1. Event based: in the data stream
      1. Triggered detector events
      2. Special events
    2. Slow controls: on-demand (usually), small data volume
      1. EPICS or EPICS-like devices
      2. stand-alone systems
    3. Video
    4. Web-based variables
    5. Monitoring applications
  4. Audience: who wants to know
    1. Counting room personnel
    2. Accelerator personnel
    3. Detector and systems experts
    4. Collaborators
      1. On-site
      2. Off-site
    5. General public
  5. Presentation: how to access the data
    1. Histograms
    2. Strip charts
    3. Web pages
    4. Desktop applications
    5. Audible alarms
  6. Monitoring data collection programs: automated data consumers
    1. Alarm handlers
    2. Archiver (database fillers)
    3. Logbook
  7. Time-scales
    1. Real time
    2. Minute-by-minute
    3. Hourly
    4. Every shift
    5. Every day
    6. Weekly
    7. Monthly
    8. Run period
    9. Annually