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R. Sindelar, P. Novak:
"Simulation Integration Framework";
Talk: IEEE 10th International Conference on Industrial Informatics, Beijing, China; 2012-07-25 - 2012-07-27; in: "INDIN 2012: IEEE 10th International Conference on Industrial Informatics : 25 Jul - 27 Jul 2012, Beijing, China", (2012), ISBN: 978-1-4673-0310-1; 80 - 85.

Integration of simulators, data sources, optimizers and other tools is discussed in this paper. More exacting requirements on the quality of the plant operation together with environmental limits and lowering energy intensity bring more complex control systems into the everyday life. When controlling the complex multi-variable systems usually variety of control techniques can be applied in all layers of control systems. The term Advanced Process Control (APC) is used for collaboration of different techniques originate from disciplines like statistics, artificial intelligence, signal processing etc. The most important goals of APC targeted by plant operators are to increase product yield, lower power consumption. The benefits of Advanced Process Control (APC) has been clearly shown in the last years. Mostly used approaches in this area rely heavily upon a study of system behavior and process model and cannot be developed and operated without access to online and historical data. This paper presents an integration platform for simulations and SCADA systems. The main idea is to connect simulations and more complex calculations into the control system architecture. The different control techniques can be utilized by using different tools and algorithms.

simulation, control systems, SCADA, semantic integration I