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Process Alarm Modeling Using Graph Theory: Alarm Design Review and Rationalization
IEEE Systems Journal ( IF 4.4 ) Pub Date : 2020-09-15 , DOI: 10.1109/jsyst.2020.3019041
Kourosh Parsa , Maureen Hassall , Mohsen Naderpour

Investigations into process accidents have identified that flaws in alarm management systems are a major contributing factor to these accidents. Poor alarm system design can lead to alarm flooding, loss of situation awareness, and poor decision-making, causing unnecessary shutdowns, or further escalation of the abnormal situations. A review of research literature suggests that there appears to be limited methods available to help analysts evaluate alarm system design and to prioritize and rationalize alarms in a manner that promotes operators’ situation awareness and correct decision-making. This article documents the first part of the research which aims to develop a means to rationalize defined alarms in operations through use of the causal modeling approach that is linked with the graph modeling technique that involves graph analytics to provide metrics to evaluate the alarm system performance. The article concludes by discussing the implications of the research findings and makes recommendations about further research required to fully develop an alarm system that use prioritization and rationalization to improve the operator's situation awareness and responses during abnormal operating situations.

中文翻译:

使用图论进行过程警报建模:警报设计审查和合理化

对过程事故的调查表明,报警管理系统中的缺陷是导致这些事故的主要因素。糟糕的报警系统设计会导致报警泛滥,丧失态势感知能力,决策失误,导致不必要的停机,或异常情况进一步升级。对研究文献的回顾表明,可用于帮助分析人员评估警报系统设计以及以促进操作员态势感知和正确决策的方式确定警报的优先级和合理化的方法似乎有限。本文记录了研究的第一部分,该部分旨在通过使用因果建模方法开发一种方法,使操作中定义的警报合理化,该方法与涉及图形分析的图形建模技术相关联,以提供评估警报系统性能的指标。本文最后讨论了研究结果的意义,并就充分开发警报系统所需的进一步研究提出了建议,该系统使用优先级和合理化来提高操作员在异常操作情况下的态势感知和响应。
更新日期:2020-09-15
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