• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (7): 1417-1422.

• 论文 • Previous Articles    

Data-based identification of the
related alarms in the process industries     

ZHANG Yinong1,ZHOU Jin1,YANG Fan2,HE Ziping2,WU Yinan2   

  1. (1.School of Automation,Beijing Union University,Beijing 100101;
    2.Department of Automation,Tsinghua University,Beijing 100084,China)
  • Received:2013-08-01 Revised:2013-09-21 Online:2014-07-25 Published:2014-07-25

Abstract:

Alarming plays an important role of reminding to ensure a safety operation in the process industries. However, overwhelming alarm signals bring confusion to operators and prevent them from obtaining key information and making decisions to take proper actions. Multiple alarm signals are not independent, there exists relationship among them. A method of identifying this relationship from historical alarm data is proposed. According to the occurrence time of two alarms, the relationship between them can be determined as well as the sequence and causal intensity. Based on the relationship between each pair of alarm variables, a relationship topology can be built to describe the relationship among multiple alarms. This method can be used for smart alarm management and provide technical support to improve the guiding value of alarm signals.

Key words: alarm;smart alarm management;relationship;topology