随机时间petri网:Modelica中的时间过程建模及其在医院和医疗保健中的应用

Proceedings of the 8th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools Pub Date : 2017-12-01 DOI:10.1145/3158191.3158196

Timo Lask

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引用次数: 0

摘要

本文展示了如何使用Petri网对医院和医疗保健部门的不同流程进行建模，并特别关注时间建模。由于过程的持续时间最多在现场无法准确确定，因此采用不同的随机时间概念进行建模。此外，这篇文章还概述了Modelica库PNlib(见1.3节)中目前出现的新(随机)时间概念，以及它们在FiliP项目中的具体应用(见4节)。

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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Stochastic time petri nets: time processes modelling in Modelica and application in hospital and healthcare

This article displays how different processes in the hospital and healthcare sector can be modeled using Petri nets, focusing particularly on time modeling. For the duration of processes cannot be determined exactly in the field at the most, different options of modeling stochastic time concepts are featured. Also, the piece gives an overview on which new (stochastic) time concepts are by now featured within the Modelica library PNlib (see section 1.3), as well as their concrete utilization in the project FiliP (see section 4).

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Proceedings of the 8th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools

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