Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process. Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy. The results are illustrated on examples from the domain of electric power systems.
|Title of host publication||2010 IEEE International Conference on Systems, Man, and Cybernetics : Intelligent Systems for a Safe and Secure World|
|Publication status||Published - 2010|
|Event||IEEE International Conference on Systems, Man, and Cybernetics : Intelligent Systems for a Safe and Secure World - Istanbul|
Duration: 1 Jan 2010 → …
|Conference||IEEE International Conference on Systems, Man, and Cybernetics : Intelligent Systems for a Safe and Secure World|
|Period||01/01/2010 → …|
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- Knowledge-based Systems
- Functional Modeling
- Model-based reasoning
- Power Systems
- Intelligent Control