A dynamic approach for industrial alarm systems

Abstract

This paper presents a context-aware ontological approach applied to an alarm management system. The goal is to easier the work of the plant's operators using supervisory systems and process control. Being part of a Supervisory Control and Data Acquisition (SCADA), alarm management systems produces and stores a big data set. Using proper analysis techniques in order to produce information and knowledge from this data set, operators can make better decisions in a maintenance process. The occurrence of certain events determines a situation allowing operators to react appropriately to these events. To recognize a situation with an ontological context, the objective of this work is to create an ontology focused on representation of context data to represent a conceptual model. To validate this model, a case study for steam turbine alarm system is presented.