Ontology-Based Model Identification of Industrial Energy Systems

The paper presents a novel approach for ontologybased model identification of industrial energy systems. Therefore, an ontology is designed which is extended by formal rules to automatically identify causal relations between the components' input and output quantities. Also, available sensor data are mapped with rules to these quantities to enable direct data access for model identification. The proposed approach is evaluated for a use case of an industrial heating process. The results show, that the required information is available in the extended ontology to automatically generate dynamic models of the plant equipment.