Vásquez John W, Pérez-Zuñiga Gustavo, Sotomayor-Moriano Javier, Ospino Adalberto
Research Group GPS, Universidad de Investigación y Desarrollo-UDI, Bucaramanga 680004, Colombia.
Departamento de Ingeniería, Pontificia Universidad Católica del Perú-PUCP, Avenida Universitaria 1801, San Miguel, Lima 15088, Peru.
Entropy (Basel). 2021 Jan 23;23(2):139. doi: 10.3390/e23020139.
In automated plants, particularly in the petrochemical, energy, and chemical industries, the combined management of all of the incidents that can produce a catastrophic accident is required. In order to do this, an alarm management methodology can be formulated as a discrete event sequence recognition problem, in which time patterns are used to identify the safe condition of the process, especially in the start-up and shutdown stages. In this paper, a new layer of protection (a Super-Alarm), based on the diagnostic stage to industrial processes is presented. The alarms and actions of the standard operating procedures are considered to be discrete events involved in sequences; the diagnostic stage corresponds to the recognition of the situation when these sequences occur. This provides operators with pertinent information about the normal or abnormal situations induced by the flow of the alarms. Chronicles Based Alarm Management (CBAM) is the methodology used in this document to build the chronicles that will permit us to generate the Super-Alarms; in addition, a case study of the petrochemical sector using CBAM is presented in order to build one chronicle that represents the scenario of an abnormal start-up of an oil transport system. Finally, the scenario's validation for this case is performed, showing the way in which, a Super-Alarm is generated.
在自动化工厂中，尤其是在石油化工、能源和化工行业，需要对所有可能引发灾难性事故的事件进行综合管理。为此，可以将警报管理方法制定为一个离散事件序列识别问题，其中时间模式用于识别过程的安全状态，特别是在启动和关闭阶段。本文提出了基于工业过程诊断阶段的新的保护层（超级警报）。标准操作程序的警报和操作被视为序列中涉及的离散事件；诊断阶段对应于识别这些序列发生时的情况。这为操作员提供了有关警报流引发的正常或异常情况的相关信息。基于编年史的警报管理（CBAM）是本文档中用于构建编年史的方法，这些编年史将使我们能够生成超级警报；此外，还给出了一个使用CBAM的石化行业案例研究，以构建一个代表石油运输系统异常启动场景的编年史。最后，对该案例的场景进行了验证，展示了生成超级警报的方式。
