An adaptive optimization approach to process alarm thresholds concerning human factors

GENG Xuemei; LI Hongguang

doi:10.11949/j.issn.0438-1157.20180326

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An adaptive optimization approach to process alarm thresholds concerning human factors

更新时间：2025-12-10

- An adaptive optimization approach to process alarm thresholds concerning human factors
- CIESC Journal Issue S1, Pages: 95-101(2018)
- 作者机构：
  
  北京化工大学信息科学与技术学院,北京,100029
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20180326
  CLC： P277
- Online First：30 September 2018，
  
  Published：30 September 2018
- 稿件说明：
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GENG Xuemei, LI Hongguang. An adaptive optimization approach to process alarm thresholds concerning human factors[J]. CIESC Journal, 2018, (S1): 95-101.
DOI：

GENG Xuemei, LI Hongguang. An adaptive optimization approach to process alarm thresholds concerning human factors[J]. CIESC Journal, 2018, (S1): 95-101. DOI： 10.11949/j.issn.0438-1157.20180326.

摘要

目前大多过程参数报警阈值优化方法没有考虑操作员的人因影响，为此，结合人因工程的理论，提出了一种考虑操作员人因影响的过程报警阈值自适应优化方法。首先，采用APRIORI算法挖掘报警事件与操作事件的关联关系；基于在线报警数据，模糊推理获得人因综合指标；根据误报、漏报与人因指标的关系计算两者的权重，建立报警阈值优化目标函数。工业实例数据验证表明，此方法对于过程报警阈值的优化设置具有较好的人因环境适应性，能够使得过程报警系统的性能得以进一步的改善。

Abstract

At present

most process parameter alarm threshold optimization method didn't consider the influence of operator. Therefore

a new process alarm threshold self-adaptive optimization method considering operator's influence with the theory of human factors is introduced in this paper. Firstly

APRIORI algorithm is used to mine the association between alarm events and operational events. Secondly

based on online alarm data

fuzzy reasoning obtains human factor comprehensive index. The weights of false alarms and missed alarms are calculated

and an alarm threshold optimization objective function is established. Industrial examples verify the effectiveness of the method.

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