化工学报2011，Vol.62Issue(10)：2805-2812,8.DOI:10.3969/j.issn.0438-1157.2011.10.019
基于图模型的间歇过程误操作风险辨识
Maloperation risk identification based on digraph models of batch process
张贝克 1蔡昕辰 1张玉良1
作者信息
- 1. 北京化工大学信息科学与技术学院,北京100029
- 折叠
摘要
Abstract
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.关键词
间歇过程/图模型/误操作/风险辨识Key words
batch process/digraph model/maloperation/ risk identification分类
信息技术与安全科学引用本文复制引用
张贝克,蔡昕辰,张玉良..基于图模型的间歇过程误操作风险辨识[J].化工学报,2011,62(10):2805-2812,8.
