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Analysis of a loss of containment incident dataset for major hazards intelligence using storybuilder

机译:使用StoryBuilder对重大危险情报进行围堵损失事件数据集分析

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A dataset of 975 incidents investigated by the Health and Safety Executive (HSE) from 1991 has been analysed using a loss of containment (LOC) model in Storybuilder, a software tool for incident analysis developed as part of the Occupational Risk Model (ORM) project, sponsored and developed by the Dutch Ministry of Social Affairs and Employment (Ale et al., 2008) to identify patterns of occurrence. The LOC model breaks down main and underlying causes of incidents in terms of barriers, tasks and safety management systems that failed in the course of an incident. Failure of containment due to substandard condition/material, with a significant contribution to structural failures including corrosion was the most frequent cause of incidents. The number of failures during indication, detection, diagnosis and response of a substandard containment was high which suggests that inspection and maintenance of pipework and process equipment focused on detection of mechanical damage and its precursors could significantly reduce incident occurrence. Failures to provide adequate means of measuring and indicating process parameters such as temperature, level or pressure was next in frequency of occurrence. Level detection had the largest share in the failure of the barrier. Direct intervention by operators failed in a large number of incidents thus discouraging reliance on this barrier as an effective means to stop a LOC incident. It is recommended that an analysis of barrier failures, task failures and the underlying management delivery failures of all incidents, including dangerous occurrences, investigated by HSE would provide quantitative evidence on the evolution of underlying causes of incidents and their associated safety management delivery failures. This evidence would allow prioritisation of preventative intervention policies, and could help develop metrics that would quantitatively show the effect of HSE's work on patterns of incident occurrence, the barriers that commonly fail and their associated tasks and management delivery failures.
机译:已使用Storybuilder中的密闭度损失(LOC)模型分析了由健康与安全管理人员(HSE)从1991年开始调查的975个事件的数据集,该模型是作为职业风险模型(ORM)项目的一部分开发的事件分析软件由荷兰社会事务和就业部赞助和开发(Ale等,2008),以识别发生的模式。 LOC模型按照在事件过程中失败的障碍,任务和安全管理系统,分解了事件的主要和根本原因。由于不合标准的条件/材料导致的安全壳失效,是导致腐蚀等结构性失效的重要原因,是造成事故的最常见原因。在指示,检测,诊断和响应不合格的密闭容器中发生的故障数量很高,这表明对管道和工艺设备进行检查和维护以检测机械损伤及其先兆为重点,可以大大减少事故的发生。其次,未能提供足够的手段来测量和指示过程参数(例如温度,水平或压力)是发生频率的第二位。液位检测在障碍物失效中的份额最大。在大量事件中,操作员的直接干预均告失败,因此不鼓励依赖此障碍作为阻止LOC事件的有效手段。建议对由HSE调查的所有事件(包括危险事件)的障碍故障,任务故障和潜在的管理交付失败进行分析,以提供定量的证据,说明事件的根本原因及其相关的安全管理交付失败的演变。该证据将允许对预防性干预政策进行优先排序,并有助于制定度量标准,以定量显示HSE工作对事件发生模式,通常失败的障碍及其相关任务和管理交付失败的影响。

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