Please use this identifier to cite or link to this item:
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
Process operations
Issue Date: 15-Nov-2012
Citation: 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.
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
ISSN: 00981354
DOI: 10.1016/j.compchemeng.2012.06.009
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 11, 2018


checked on Oct 2, 2018

Page view(s)

checked on Oct 6, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.