Title :
OPC-UA information model for large-scale process control applications
Author :
Trnka, Pavel ; Kodet, Petr ; Havlena, Vladimír
Author_Institution :
Honeywell Prague Lab., Prague, Czech Republic
Abstract :
The distributed and networked control of large-scale systems is typically designed as multi-layer control architecture. This brings advantage of a simplified design for complex control strategies; however, it complicates the information consistency between individual layers (PID controllers, advanced process controllers, real time optimizers) under changes in controlled plant topology and other events. Individual control layers require different representation of knowledge; however, the information solution has to guarantee the cross-layer integration, consistency and uniform representation of on-line and off-line process data, topology information and dynamics/performance models. The paper presents solution based on OPC Unified Architecture (OPC-UA) model and two levels control architecture. The solution unifies representation of data and topology in Service Oriented Architecture (SOA) and adopts Cloud Computing paradigm.
Keywords :
cloud computing; control engineering computing; data structures; distributed control; knowledge representation; networked control systems; process control; service-oriented architecture; three-term control; topology; OPC unified architecture model; OPC-UA information model; PID controller; cloud computing; complex control strategy design; control architecture; cross-layer integration; distributed control; information consistency; knowledge representation; large-scale process control application; multilayer control architecture; networked control; offline process data; online process data; plant-controlled topology; real-time optimization; service-oriented architecture; uniform information representation; Actuators; Boilers; Generators; Instruments; Kelvin; Monitoring; Turbines;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389038