Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compchemeng.2012.06.009
Title: An ontology for distributed process supervision of large-scale chemical plants
Authors: Natarajan, S. 
Ghosh, K.
Srinivasan, R. 
Keywords: Fault detection and identification
Multi agent system
OntoCAPE
Process operations
Semantics
Issue Date: 15-Nov-2012
Source: Natarajan, S., Ghosh, K., Srinivasan, R. (2012-11-15). An ontology for distributed process supervision of large-scale chemical plants. Computers and Chemical Engineering 46 : 124-140. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2012.06.009
Abstract: As modern chemical processes evolve into extremely large and complex systems involving multiple third-party technologies, instruments, and software, the information necessary for process supervision is distributed across disparate sources. Supervision methods rely on models that are themselves based on these process descriptors. Therefore, any changes during operations have to be reflected to the supervision methods so that they can adapt suitably. In this paper, we propose an ontology, called OntoSafe, that provides the semantics for abnormal situation management. It enables the integration of all the information necessary for forming a cohesive judgment of the condition and state of the process. It also captures the underlying linkages so that changes in the process descriptors are propagated consistently. We illustrate the benefits of these using the ENCORE distributed intelligence system. The application to an offshore oil and gas production case study is also reported. © 2012 Elsevier Ltd.
Source Title: Computers and Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63477
ISSN: 00981354
DOI: 10.1016/j.compchemeng.2012.06.009
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