Alarm Management on a Liquid Bulk Terminal

  • Bram Aerts
  • Kylian Van Dessel
  • Joost Vennekens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10505)


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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bram Aerts
    • 1
  • Kylian Van Dessel
    • 1
  • Joost Vennekens
    • 1
  1. 1.Department of Computer ScienceKU LeuvenSint-katelijne-waverBelgium

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