Towards intelligent alarm management in the Age of IIoT

Abstract

In recent years, IIoT continues to gain traction introducing promising opportunities to build powerful systems and applications with new benefits to industry. However, as the industrial systems become more complex, the number of alarm calls in plants has exploded to a very large number. Having too many alarms to handle hinders operators from taking the right decisions at the right time which potentially can lead to safety, reliability, privacy, and security issues. The work presented in this paper is aimed at improving the safety of industrial operations by better managing alarms and also increasing the reliability of the industrial operation by ensuring the processes are reliable. A main outcome of the project is a set of alarm data mining algorithms and a high-fidelity prototype of a user interface for reviewing and analyzing the mined alarm data.