DocumentCode :
987068
Title :
Tools for the automation of large distributed control systems
Author :
Gaspar, C. ; Franek, B.
Author_Institution :
CERN, Geneva, Switzerland
Volume :
53
Issue :
3
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
974
Lastpage :
979
Abstract :
The new LHC experiments at CERN will have very large numbers of channels to operate. In order to be able to configure and monitor such large systems, a high degree of parallelism is necessary. The control system is built as a hierarchy of sub-systems distributed over several computers. A toolkit-SMI++, combining two approaches: finite state machines and rule-based programming, allows for the description of the various sub-systems as decentralized deciding entities, reacting in real-time to changes in the system, thus providing for the automation of standard procedures and for the automatic recovery from error conditions in a hierarchical fashion. In this paper we will describe the principles and features of SMI++ as well as its integration with an industrial SCADA tool for use by the LHC experiments and we will try to show that such tools, can provide a very convenient mechanism for the automation of large scale, high complexity, applications.
Keywords :
SCADA systems; automation; distributed control; finite state machines; knowledge based systems; physics computing; real-time systems; CERN; LHC experiments; automatic recovery; decentralized deciding entities; error conditions; finite state machines; industrial SCADA tool; integration; large distributed control systems; real-time; rule-based programming; subsystems; toolkit-SMI++; Automata; Automatic control; Automatic programming; Automation; Computerized monitoring; Control systems; Distributed computing; Distributed control; Large Hadron Collider; Parallel processing; Automation; control systems; distributed systems; finite state machines; rule-based systems;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2006.874470
Filename :
1644975
Link To Document :
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