Tuesday, August 27, 2013

A combined analysis of plant connectivity and alarm logs to reduce the number of alerts in an automation system

CATEGORY: PROCESS CONTROL
Journal of Process Control, Volume 23, Issue 6, July 2013, Pages 839–851
A combined analysis of plant connectivity and alarm logs to reduce the number of alerts in an automation system
Markus Schleburg (a,b), Lars Christiansen (a), Nina F. Thornhill (b), Alexander Fay (a)
a Institute of Automation Technology, Helmut-Schmidt-University/University of the Federal Armed Forces, Holstenhofweg 85, D-22043 Hamburg, Germany
b Centre for Process System Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK
Abstract
A process alarm occurs when normal operation limits are exceeded and an alarm management system alerts the operator of a process plant. Unfortunately, because of the material, energy and information flow in a plant, single disturbances can cause multiple alarm messages, which may overload the operator by presenting many redundant alarms.
This situation, known as an ‘alarm flood’, may make it impossible for the operator to keep the plant within safe operation limits and to find the root cause of the disturbance. Authors propose a method designed to reduce the number of alerts presented to the operator. If alarms are related to one another, they should be grouped and presented as one alarm problem. For the implementation of the concept, authors have constructed a software prototype to perform this reduction automatically. The analysis process begins with the alarm history, which is a log containing all past alarm messages. This is combined with the plant topology of the controlled system and a set of rules. The rules describe typical interrelations between alarm messages which have a common cause. The combination of these three elements yields an effective alarm management strategy that can help plant owners and operators to comply with standards for alarm management.
Full Text Source (Subscription or Fee): http://www.sciencedirect.com/science/article/pii/S0959152413000541

No comments:

Post a Comment