1 / 26

The DØ Control System

The DØ Control System. J. Frederick Bartlett For The DØ Controls Group. Outline. Fermilab and the D0 Experiment The DØ Control/Monitoring System IOC extensions Process Variable Naming Conventions Database Management Significant Event System Detector Configuration Management

maya
Download Presentation

The DØ Control System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The DØ Control System J. Frederick Bartlett For The DØ Controls Group

  2. Outline • Fermilab and the D0 Experiment • The DØ Control/Monitoring System • IOC extensions • Process Variable Naming Conventions • Database Management • Significant Event System • Detector Configuration Management • Operator Display Support Library

  3. The Fermilab Collider Complex CDF DØ

  4. DØ Detector Forward Muon Layer C Superconducting Solenoid Liquid Argon/Uranium Calorimeter Scintillating Fibers Central Muon Layer A Central Muon Layer B Silicon Tracker Central Muon Layer C Muon Toroid

  5. DØ Run II Control System • EPICS-based controls • Field buses • VME • MIL/STD1553B • CANBUS (Run IIB) • Size • ~15 host-level processors • ~100 IOCs (Input/Output Controllers) • MVME2301, MVME2304, MVME5500 • ~6600 high-level devices • ~138000 process variables (records)

  6. DØ Run II Control System • 15 major detector sub-systems • Host-Level processes written in Python • Source management - CVS • Operating systems • Host processors - Linux • IOC processors – vxWorks • Software versions • Now - EPICS 3.14.6 • Next - EPICS 3.14.7 with patches, using SNS linux build tools • Controls staff • Core system - 3 FTEs (4 people) • Detector-specific components - ~2 FTEs • Primarily from other institutions

  7. Devices and Records

  8. Channel Access DB Load Ethernet LAN Paused Locked End Ramp Database Access Scanners Holding IOC Database Mid Ramp Record Support Tripped Average Device Support On Begin Ramp Offline Disabled Off Driver VME + MIL/STD1553 Start EPICS IOC Extensions HV Generator State Machine Customizing Elements VME Bus Access With Retries MIL/STD1553 Bus and CANBUS

  9. Gateways to Other Systems • Accelerator • Gateway link to ACNET system • Bidirectional • Data access only (no control) • Cryogenics and Gas • Gateway link to DMACS system • Read-only • Data access only (no control)

  10. CLIENTS xmlrpc Server CLIENTS xmlrpc REMOTE ToACNET ToFromITC CLIENTS xmlrpc ITC CACHE ToEPICS EPICS RECORDS CA EXPORT FromACNET xmlrpc FromEPICS CA D0 BD ACNET Gateway

  11. DØ Naming Convention • Name elements • Detector <det> CAL • Sub-det <sub> N • Device <dev> VBD • Locator <loc> 01 • Attribute <attr> STATUS • I/O <io> W • Field <field> SCAN • Template Frequently used in filters Many utility tools use this field for device-specific actions <det>[<sub>]_<dev>_<loc>/<attr>[:<io>] [.<field>] CALN_VBD_01/STATUS:W.SCAN

  12. Database Management • Basic EPICS uses flat text files • Template definition file • Multiple record definitions with substitution parameters • Template generator file • Create a group of records (instance of a template) with values for parameters • Record instance file • Instances of records read by IOC to create record database

  13. Relational Database System • EPICS database creation from text files • Record structure defined by DBD files • Template structure defined by template definition files • Template instances defined by template generator files or from Browser GUI • IOC record instances (record instance file) are extracted from database • Database support programs written in Python

  14. Relational Database System Template Definitions Template Generators Record Field Definitions Instance Creation DB Creation Oracle Hardware Database Record Extract Template Extract List of Records For IOC Template Generators For IOC IOC Id

  15. Significant Event System • The significant event philosophy • Alarms are a only a sub-set of the significant events • EPICS does not generate all of the significant events of interest • Alarm utilities enhance reliability • Detect impending failures and fix them before they fail • Minimize the time to correct failures • Archive all event transitions • The archive is a history of the state transitions of the experiment • Tools available to search the event archive • What was your system doing last month?

  16. Alarm/Event Distribution • SES is a server-based, event (alarm) system: • IOCs and user processes connect to and send alarm transitions to the server • Pushed by sources not pulled by the server or client • Server holds the current experiment (alarm) state • Server has one or more filters for each receiving client • Makes use of name structure • Rapid display startup of receiving clients • User processes may also declare events via API (C, C++, Python) • Written in Python

  17. Filter Filter F SE Message EPICS IOC Process Filtered Message Periodic Heartbeat EPICS IOC Process Watcher F F seLogger F Alarm Display F Alarm Watcher Run Control (COOR) seBrowser Run Suspend Significant Event System Significant Event Server

  18. SES Alarm Display Select Guidance button Events in line selected by filter Select minor alarm button

  19. Detector Configuration Management • EPICS Save-and-Restore is adequate for accelerators • Accelerators are tuned for an operation mode and the configuration is saved for future restoration • Some complex devices like HEP detectors do not work this way • There are too many distinct modes to be saved • Tuning may not be required • Settings are often predictable from trigger selection • Many detector component settings are taken from separate calibration measurements

  20. Comics Server • Manages the configuration of the detector • Receives load requests from: • Run control • Expert GUIs • Program APIs • Load map is a directed graph (tree) • Tree node (intermediate) • Establishes a layered hierarchy • Establishes an execution order • Action node (leaf) • Issues EPICS CA requests

  21. Comics Server • Constructed on the server model with multiple clients sending commands • Server may be activated independently for configuring detector component • Coded in the Python language

  22. S2 S0 S1 MUO SMT CAL CFT T0 DEV0 DEV1 DEV2 DEV3 Configuration Management Tree Intermediate Tree Node Root Node DØ Links determine the order of execution Configuration Data Action Node Uses EPICS Channel Access

  23. Comics Expert GUI

  24. Operator Display Library • Standard, process flow (synoptic) displays do not adapt well to the monitoring of HEP detectors • Like accelerators, there are many similar devices that make up the typical detector component (cells in a calorimeter) • The components are not related in a serial fashion like a cryogenic plant • Tabular (spread-sheet designs) are more natural • Similar properties for different devices are easily compared • Deviations are apparent

  25. Operator Display Library • DØ has developed a series of Python display classes for building tabular displays that collect information from EPICS process variables

  26. Resource Display Basic Frame with Menu Bar, Status Window, and Button Bar Tabbed Pages with CA Connect and Disconnect Device Status (Bit-Encoded) Property Device Window Right-Click on Name Field Device Analog Property

More Related