Capability Assessment for Emergency Management of Fluorochemical Plant in Fires

Xuedan Zhao, Jun Zhang, Weiguo Song, Hongliu Li, Long Xia
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Abstract

Fluorochemical industry is one of the newly developed industries, from which products are widely used in daily life. However, many dangerous chemicals are involved in the production process of fluorochemical, which are prone to cause many accidents such as poisonous gas leaks, gas explosions, fires, human intoxication and so on, endangering people's lives and property. Therefore, it is really necessary to analyze and evaluate the emergency management capability of fluorochemical plant. In this paper, we establish a fault tree for the emergency management failure of fluorochemical plant in fires, and give the corresponding evaluation index system of emergency management capability. In addition, to evaluate the emergency management capability of fluorochemical plant, an artificial neural network based method is proposed to expand the technology of capability assessment for emergency management.
氟化工厂火灾应急管理能力评估
氟化工是新兴的工业之一,其产品广泛应用于日常生活中。但氟化工生产过程中涉及许多危险化学品,容易造成毒气泄漏、瓦斯爆炸、火灾、人体中毒等诸多事故,危及人民生命财产安全。因此,对氟化工厂的应急管理能力进行分析和评价是十分必要的。本文建立了氟化工厂火灾应急管理失效的故障树,并给出了相应的应急管理能力评价指标体系。此外,为了对氟化工厂的应急管理能力进行评价,提出了一种基于人工神经网络的应急管理能力评价方法,拓展了应急管理能力评价技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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