Abstract
This paper reports on a research project to use Artificial Intelligence (AI) technology to reduce the alarm handling workload of control room operators in a terminal in the harbour of Antwerp. Several characteristics of this terminal preclude the use of standard methods, such as root cause analysis. Therefore, we focused attention on the process engineers and developed a system to help these engineers reduce the number of alarms that occur. It consists of two components: one to identify interesting alarms and another to analyse them. For both components, user-friendly visualisations were developed.
Cite
CITATION STYLE
Aerts, B., Van Dessel, K., & Vennekens, J. (2017). Alarm Management on a Liquid Bulk Terminal. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10505 LNAI, pp. 279–285). Springer Verlag. https://doi.org/10.1007/978-3-319-67190-1_21
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