化工学报 ›› 2015, Vol. 66 ›› Issue (1): 244-250.DOI: 10.11949/j.issn.0438-1157.20141539

• 过程系统工程 • 上一篇    下一篇

竖炉焙烧过程METSIM动态模拟

卢绍文, 丁进良, 刘琳琳   

  1. 东北大学流程工业综合自动化国家重点实验室, 辽宁 沈阳 110819
  • 收稿日期:2014-10-13 修回日期:2014-10-22 出版日期:2015-01-05 发布日期:2015-01-05
  • 通讯作者: 卢绍文
  • 基金资助:

    国家自然科学基金项目(61473071);中央高校基本科研业务费专项资金项目(N120408003)。

Dynamic simulation of shaft furnace roasting process with METSIM

LU Shaowen, DING Jinliang, LIU Linlin   

  1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, Liaoning, China
  • Received:2014-10-13 Revised:2014-10-22 Online:2015-01-05 Published:2015-01-05
  • Supported by:

    supported by the National Natural Science Foundation of China (61473071) and the Fundamental Research Funds for the Central Universities(N120408003).

摘要:

竖炉焙烧是我国赤铁矿选矿工业中常见的工艺环节。其关键工艺指标是磁选管回收率, 反映了矿石焙烧的质量。但磁选管回收率无法在线实时测量。在实际生产中, 对竖炉焙烧磁选管回收率的控制一般通过运行优化控制实现。而运行优化控制策略的设计需要进行大量工业现场实验, 建立磁选管回收率相对于主要控制变量的动态响应关系, 这样做的成本高, 风险大。为了解决这一问题, 基于冶金模拟软件METSIM设计了竖炉焙烧工艺动态模型, 并采用与实际一致的过程控制软硬件系统建立了竖炉过程半实物仿真系统。通过仿真实验获得磁选管回收率与燃烧时温度设定值之间的动态关系, 并与实际数据进行了比较验证。表明该平台能够作为运行优化控制方法设计的实验和测试工具。

关键词: 竖炉焙烧过程, 磁选管回收率, METSIM, 半实物仿真, 过程模拟

Abstract:

Shaft furnace roasting is widely used in the mineral concentration industry in China. Its key production quality index is magnetic tube recovery ratio (MTRR), which cannot be measured online. Therefore, in practice MTRR is controlled by the operational optimal control technique. The design of operational optimal control strategy heavily relies on experiments conducted on real industrial process, to establish the dynamic response relationship between MTRR and the major control variables. Such practice is of high cost and risk. To solve this problem, this paper introduces a dynamic model of shaft furnace roasting process based on METSIM, a metallurgical process simulation package. The model connects to a process controller, which is similar to the control system used in practice, forming a semi-physical simulation system. The dynamic relationship between MTRR and the temperature of the burning chamber can be achieved by carrying out virtual simulation experiment on the proposed system. The model has been validated by real data. The proposed system can be used as a testing and experiment tool for the design of operational optimal control system.

Key words: shaft furnace roasting process, magnetic tube recovery ratio, METSIM, semi-physical simulation, process simulation

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