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New concept of safeprocess based on a fault detection methodology: Super Alarms

机译:基于故障检测方法的安全过程新概念:超级警报

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Industrial plants, especially on mining, metal processing, energy and chemical/petrochemical processes require integrated management of all the events that may cause accidents and translate into alarms. Process alarm management can be formulated as an event-based pattern recognition problem in which temporal patterns are used to characterize different typical situations, particularly at startup and shutdown stages. In this paper, a new layer based on a diagnosis process is proposed over the typical layers of protection in industrial processes. Considering the alarms and the actions of the standard operating procedure as discrete events, the diagnosis step relies on situation recognition to provide the operators with relevant information about the failures inducing the alarm flow. The new concept of super alarms is based on a methodology with a diagnosis step that permits generate these types of superior alarms. For example, the Chronicle Based Alarm Management (CBAM) methodology involves different techniques to take the hybrid aspect and the standard operational procedures of the concerned processes into account.
机译:工业工厂,特别是采矿,金属加工,能源和化学/石化过程中的工厂,需要对可能导致事故并转化为警报的所有事件进行综合管理。过程警报管理可以表述为基于事件的模式识别问题,其中时间模式用于表征不同的典型情况,尤其是在启动和关闭阶段。本文在工业过程中的典型保护层之上,提出了一种基于诊断过程的新层。将警报和标准操作程序的操作视为离散事件,诊断步骤依赖于情况识别,以向操作员提供有关导致警报流的故障的相关信息。超级警报的新概念基于带有诊断步骤的方法,该诊断步骤允许生成这些类型的高级警报。例如,基于编年史的警报管理(CBAM)方法涉及不同的技术,以将混合方面和相关过程的标准操作过程考虑在内。

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