过程工业中的弹性评估:文献综述
Maryam Ghaljahi1,2, Leila Omidi1, Ali Karimi1
1Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Heliyon
|March 10, 2025
概括
本研究审查了评估高风险工艺行业的弹性方法. 动态贝叶斯网络 (DBN) 被认为是估计弹性和故障概率的最常用的定量方法.
科学领域:
- 工艺安全工程 工艺安全工程
- 风险管理 风险管理
- 系统的弹性 系统的弹性
背景情况:
- 工艺行业面临着火灾,爆炸和有毒气体暴露等事故的重大风险.
- 弹性对于减轻风险和管理复杂系统中破坏性事件的后果至关重要.
- 在这些动态环境中评估弹性对于有效的安全管理至关重要.
研究的目的:
- 检查和审查过程工业中弹性评估的方法.
- 确定适应性评估的常用量化方法.
- 了解如何建模弹性,包括吸收,适应和恢复.
主要方法:
- 系统审查关于弹性评估方法的已发表文献.
- 对评估复杂过程系统中的弹性进行定量方法的分析.
- 专注于适用于短暂变化和性能变化的方法.
主要成果:
- 动态贝叶斯网络 (Dynamic Bayesian Networks,DBNs) 是工艺工业中用于定量弹性评估的最常用的方法.
- 在化学过程中,DBN对于估计不确定性和弹性概率是有效的.
- DBNs可以建模系统相互作用,故障概率和性能变化.
结论:
- DBNs提供了一个强大的框架,用于建模和评估复杂的过程系统的弹性.
- 使用DBN进行定量评估有助于理解和提高高风险行业的安全性.
- 本次审查强调了DBN对于管理工艺行业风险的重要性.
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