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基于图模型的间歇过程误操作风险辨识 被引量:2

Maloperation risk identification based on digraph models of batch process
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摘要 提出了一套基于图模型的建模方法,该模型以Petri网和符号有向图(SDG)为基础将模型分为上部和下部,加入操作点、控制库所、判断模块等模型元素,并结合间歇过程的特点,提出了关联变量、目标变量检查表、操作点检查表和关联变量检查表等概念。根据误开误关、过早过晚、步骤添加删除等误操作,对模型进行验证。验证结果表明,该模型解决了先前方法难以描述具体操作的缺陷,并且模型结构简单,具有整体性。不仅能够方便地描述3种不同类型的误操作,还能有效地对误操作进行风险辨识,具有一定的适用性。 A new modeling method using digraph models is proposed. The established model is divided into lower part and upper part based on the Petri net and signed directed graph (SDG). The model elements, such as operation node, control place and judging module, are added. The concepts of relation variable, target variable checklist, operation node checklist and relation variable checklist are proposed combining the characteristics of batch process. Three types of maloperation, including earlier or later, error opening or error closing, and adding steps or deleting steps, are used to validate the model. The model can be used to solve the problem in previous methods that can not describe the specific operation. The model structure is simple and integrated. In this method, the maloperation is described conveniently, and risk identification is conducted effectively.
出处 《化工学报》 EI CAS CSCD 北大核心 2011年第10期2805-2812,共8页 CIESC Journal
关键词 间歇过程 图模型 误操作 风险辨识 batch process digraph model maloperation risk identification
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参考文献15

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