Ontology-Based Model Identification of Industrial Energy Systems

被引：0

作者：

Steindl, Gernot ^{[1
]}

Kastner, Wolfgang ^{[1
]}

机构：

[1] TU Wien, Inst Comp Engn, Vienna, Austria

来源：

2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2020年

关键词：

Ontology; Data-Driven Model Development; Model Identification; Semantic Web;

D O I：

10.1109/isie45063.2020.9152386

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper presents a novel approach for ontology-based 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.

引用

页码：1217 / 1223

页数：7