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使用后果建模和模糊贝叶斯网络进行储的动态风险评估
Heidar Mohammadi1, Fereydoon Laal2, Farough Mohammadian3
1Department of Occupational Health and Safety, School of Health, Larestan University of Medical Sciences, Larestan, Iran.
Heliyon
|August 18, 2023
概括
采用集成的Bow Tie (BT) 和贝叶斯网络 (BN) 方法进行坦克储存的动态风险评估,揭示了不可接受的风险水平. 这种方法提高了过程工业事故预防和应急准备的客观性.
科学领域:
- 工艺安全工程 工艺安全工程
- 风险管理 风险管理
- 工业事故分析 工业事故分析
背景情况:
- 工艺行业每年因事故而面临重大损失.
- 现代风险评估方法对于预防事故至关重要.
- 传统方法可能缺乏动态风险评估所需的客观性.
研究的目的:
- 使用现代方法进行储存储的动态风险评估.
- 将现代方法与传统风险评估方法进行比较.
- 通过客观风险评估,加强事故预防战略.
主要方法:
- 利用弓带 (BT) 方法分析泄漏事件和后果.
- 采用贝叶斯网络 (BN) 方法来更新后果概率率.
- 使用ALOHA软件 (版本5.4) 建模的发布场景和结果.
主要成果:
- 确定了50个导致化学物质泄漏的基本事件.
- 在BT和BN模型中,游泳池火灾是化学品泄漏的最可能的后果.
- 泄漏直径显著影响排放率,50毫米的泄漏率显示最高 (80公斤/分钟).
结论:
- 综合的BT,模糊贝叶斯网络和后果建模方法提供了更客观的风险评估结果.
- 对分析的场景的估计风险数字属于不可接受的范围.
- 结果建模的结果可以指导油箱储存设施的事故预防和应急准备工作.
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