东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (7): 937-940.DOI: -

• 论著 • 上一篇    下一篇

基于MATRIXx的冷连轧仿真模型库系统

曲蓉霞;刘兴刚;许美蓉;赵会平;   

  1. 东北大学流程工业综合自动化教育部重点实验室;东北大学流程工业综合自动化教育部重点实验室;东北大学流程工业综合自动化教育部重点实验室;宝山钢铁股份有限公司宝钢分公司设备部 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;上海201900
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-07-15 发布日期:2013-06-24
  • 通讯作者: Qu, R.-X.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(20052023)

MATRIXx-based simulation model base for continuous cold rolling process

Qu, Rong-Xia (1); Liu, Xing-Gang (1); Xu, Mei-Rong (1); Zhao, Hui-Ping (2)   

  1. (1) Key Laboratory of Inregrated Automation of Process Industry, Northeastern University, Shenyang 110004, China; (2) Equipment Department, Baosteel Branch, Baosteel Co. Ltd., Shanghai 201900, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-07-15 Published:2013-06-24
  • Contact: Qu, R.-X.
  • About author:-
  • Supported by:
    -

摘要: 结合研究冷连轧过程控制力能参数模型的需要,提出了开发冷连轧仿真模型库系统的设想.为此设计了仿真模型库系统的组成、数据结构和面向对象的层次化、模块化的软件体系结构;采用MATRIXx仿真平台,运用软件可重用I/O动态连接技术,构造和实现了冷连轧领域仿真模型库;为便于仿真计算过程的数据处理,设计了模型库和数据库之间ODBC接口程序;最后采用现场原始数据,应用仿真模型库对轧制过程控制中与模型相关的关键问题进行了仿真分析,结果表明作为模型开发研究平台的仿真模型库具有实用性和先进性的特点.

关键词: 冷连轧, 仿真模型库, MATRIXx, 数据库, ODBC

Abstract: An attempt has been made to develop a simulation model base for cold continuous rolling process so as to meet the requirements for investigating the controlling parameters in different models. Then the architecture and data structure of the simulation model base are worked out, including the object-oriented hierarchical/modular software system, and the simulation model base is thus formed and implemented by using the MATRIXx simulation platform and the reusable software for I/O dynamic linkage. To simplify the data processing during the simulative computation, the ODBC (open database connectivity) interface is programmed between the model base and database. With industrial data acquired, an analysis is made to some key problems in relation to models by applying the model base in rolling process, and the results reveal the practicality and advantages of the simulation model base as a model research and development platform.

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