使用SHERPA和模糊推断系统方法,通过公路卡车装载和卸载石油产品时的人类错误识别和风险评估
Mostafa Mirzaei Aliabadi1, Iraj Mohammadfam2, Samane Khorshidikia3
1Center of Excellence for Occupational Health, Occupational Health, and Safety Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Heliyon
|August 15, 2024
概括
人类错误在加载/卸载石油卡车时导致事故. 行动错误最常见,需要改进安全协议,如培训和检查清单,以减少风险.
科学领域:
- 职业安全与健康问题 职业安全与健康问题
- 风险管理 风险管理
- 石油物流 石油物流 石油物流
背景情况:
- 人类错误是工业事故的主要原因,特别是在石油运输等高风险行业.
- 石油公路卡车的装卸操作由于潜在的人类错误而带来了重大安全挑战.
研究的目的:
- 在石油卡车加载和卸载操作中识别,评估和分类人类错误.
- 确定不同类型错误的频率和风险水平,以告知安全干预.
主要方法:
- 层次任务分析 (HTA) 用于任务识别和观察.
- 系统的人类错误减少和预测方法 (SHERPA) 用于错误模式的划分.
- 专家诱导和模糊推理系统 (FIS) 用于错误的关键性评估.
主要成果:
- 在装载过程中发现了37个错误,在卸载过程中发现了14个错误.
- 在装载 (31例) 和卸载 (13例) 中,操作错误是最常见的类型.
- 错误按风险排序,导致装载27级,卸载12级.
结论:
- 行动错误是石油卡车运营中的一个关键问题,需要有针对性的缓解策略.
- 实施加强培训和监控清单可以帮助减少人为错误的频率和严重性.
- 对人为错误的系统分析对于提高危险操作中的安全至关重要.
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