Abstract Major accidents continue to happen in the process industry and often have serious consequences. There are questions on how these accidents happen and how we can monitor safety in a process plant to prevent these accidents. In order to explain how accidents happen, different accident causation models have been used, whereas most of them were developed long time ago. Significant changes have occurred in the industry and traditional models may have limitations in identifying causes of accidents in modern industry within complex sociotechnical environment. Consequently, new accident models based on systems theory have been developed lately. Safety is often measured by number of accidents, mishaps or near misses. This retrospective approach cannot help enough to prevent accidents. In this paper, a novel methodology is introduced to measure safety level in process plants with the purpose of preventing accidents. This methodology is based on Systems Theoretic Accident Model and Processes (STAMP), which is one of the systemic accident model developed recently. The methodology is tested using real data from a process plant and obtained promising results are provided in this paper.

中文翻译：

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使用基于系统理论的方法 (STAMP) 测量过程工厂安全水平的新方法

摘要 过程工业中的重大事故不断发生，往往造成严重的后果。关于这些事故是如何发生的以及我们如何监控加工厂的安全以防止这些事故，存在一些问题。为了解释事故是如何发生的，人们使用了不同的事故因果模型，而大多数模型都是很久以前开发的。工业发生了重大变化，传统模型在复杂的社会技术环境中识别现代工业事故的原因可能存在局限性。因此，最近开发了基于系统理论的新事故模型。安全性通常通过事故、事故或未遂事故的数量来衡量。这种追溯方法不足以防止事故发生。在本文中，引入了一种新的方法来衡量过程工厂的安全水平，以防止事故发生。该方法论基于系统理论事故模型和过程（STAMP），它是最近开发的系统事故模型之一。该方法使用来自加工厂的真实数据进行测试，并在本文中提供了有希望的结果。