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

doi:10.3969/j.issn.0438-1157.2013.12.013

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智能工厂可配置的多层次建模方法

过程系统工程 | 更新时间：2025-12-10

- 智能工厂可配置的多层次建模方法
- Configurable hierarchical modeling method for intelligent plant
- 化工学报 2013年第12期页码：4354-4365
- 作者机构：
  
  浙江大学智能系统与控制研究所,浙江,杭州,310027
- 作者简介：
  
  齐瑞超（1989- ），男，硕士研究生.
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2013.12.013
  中图分类号： Q021.8TQ015.9
- 网络首发：2013-12-05，
  
  纸质出版：2013-12-05
- 稿件说明：
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齐瑞超, 荣冈, 冯毅萍, 等. 智能工厂可配置的多层次建模方法[J]. 化工学报, 2013,(12):4354-4365.

QI Ruichao, RONG Gang, FENG Yiping, et al. Configurable hierarchical modeling method for intelligent plant[J]. CIESC Journal, 2013, (12): 4354-4365.
齐瑞超, 荣冈, 冯毅萍, 等. 智能工厂可配置的多层次建模方法[J]. 化工学报, 2013,(12):4354-4365. DOI： 10.3969/j.issn.0438-1157.2013.12.013.

QI Ruichao, RONG Gang, FENG Yiping, et al. Configurable hierarchical modeling method for intelligent plant[J]. CIESC Journal, 2013, (12): 4354-4365. DOI： 10.3969/j.issn.0438-1157.2013.12.013.

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。

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.

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