Developing Industrial Workflows from Process Data

  • Author / Creator
    Dasani, Sridhar
  • An industrial workflow represents a sequence of tasks performed by an operator in controlling or monitoring a process. Developing industrial workflows refers to the technique of capturing the best operating practice(s) to handle a specific event encountered in process operations. In this work, workflow strategies are developed that capture expert knowledge by analyzing the event logs of how the most experienced plant operators have dealt with infrequent process operations such as a boiler start-up and shutdown procedures. We explore various data mining methods to extract valuable operational knowledge from alarm and event archives and convert them into industrial workflows. Various challenges involved in pre-processing of text-based event logs are addressed in this thesis. The applicability of these workflow strategies is demonstrated with live orchestrated workflows developed for boiler and pipeline operations. The proposed procedure guides operators to deal with out-of-spec events and critical emergencies in a safe and efficient manner.

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  • Graduation date
  • Type of Item
  • Degree
    Master of Science
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  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.