化工学报 ›› 2013, Vol. 64 ›› Issue (12): 4354-4365.DOI: 10.3969/j.issn.0438-1157.2013.12.013

• 过程系统工程 • 上一篇    下一篇

智能工厂可配置的多层次建模方法

齐瑞超, 荣冈, 冯毅萍, 胡云苹   

  1. 浙江大学智能系统与控制研究所, 浙江 杭州 310027
  • 收稿日期:2013-08-12 修回日期:2013-08-29 出版日期:2013-12-05 发布日期:2013-12-05
  • 通讯作者: 荣冈
  • 作者简介:齐瑞超(1989- ),男,硕士研究生。
  • 基金资助:

    国家高技术研究发展计划项目(2012AA041102);国家科技支撑计划课题(2012BAE05B00)。

Configurable hierarchical modeling method for intelligent plant

QI Ruichao, RONG Gang, FENG Yiping, HU Yunping   

  1. Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, Zhejiang, China
  • Received:2013-08-12 Revised:2013-08-29 Online:2013-12-05 Published:2013-12-05
  • Supported by:

    supported by the High-tech Research and Development Program of China (2012AA041102) and the National Key Technology R&D Program of China (2012BAE05B00).

摘要: 工厂仿真模型通常被分为宏观和微观两类,宏观的仿真模型如ERP层模型,微观的仿真模型如PCS层模型,MES层模型介于宏观和微观之间。前人研究中建立某一层次的仿真模型通常都有重用率低和扩展性差的问题,为此提出一个用于工厂建模和仿真的四层框架:模型实体结构/模型库层、模型抽象层、工厂模型层、智能工厂仿真系统层。运用这种对工厂拓扑网络进行抽象的建模与仿真方法可以构建可扩展和易配置的仿真模型。本文使用此方法建立了智能工厂多层次仿真系统,最后通过3个案例说明方法的有效性和可靠性,为工厂建模和仿真提供了指导。

关键词: 智能工厂, 建模方法, 算法, 计算机模拟, 模型

Abstract: Traditionally,plant simulation model is classified as macroscopic or microscopic. An ERP-level model and a PCS-level model belong to macro and micro simulation model respectively while an MES-level model lies in-between.Simulation models of certain level established by former researchers usually have low reusability and poor scalability.To this end,a novel four-layered approach,which is composed of model entity structure/model base,model abstraction,plant modeling and IPS simulation systems layer,has been proposed for plant modeling and simulation.Configurable and reusable simulation model can be easily obtained by adopting the abstraction modeling and simulation method with respect to plant network. In this article,a multi-level intelligent plant simulation system is constructed with the aforementioned method and the effectiveness and reliability are verified through case studies.Therefore,it is expected to be widely used in plant modeling and simulation in practice.

Key words: intelligent plant, modeling method, algorithm, computer simulation, model

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