化工学报
化工學報
화공학보
JOURNAL OF CHEMICAL INDUSY AND ENGINEERING (CHINA)
2015年
1期
244-250
,共7页
竖炉焙烧过程%磁选管回收率%METSIM%半实物仿真%过程模拟
豎爐焙燒過程%磁選管迴收率%METSIM%半實物倣真%過程模擬
수로배소과정%자선관회수솔%METSIM%반실물방진%과정모의
shaft furnace roasting process%magnetic tube recovery ratio%METSIM%semi-physical simulation%process simulation
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。
豎爐焙燒是我國赤鐵礦選礦工業中常見的工藝環節。其關鍵工藝指標是磁選管迴收率,反映瞭礦石焙燒的質量。但磁選管迴收率無法在線實時測量。在實際生產中,對豎爐焙燒磁選管迴收率的控製一般通過運行優化控製實現。而運行優化控製策略的設計需要進行大量工業現場實驗,建立磁選管迴收率相對于主要控製變量的動態響應關繫,這樣做的成本高,風險大。為瞭解決這一問題,基于冶金模擬軟件METSIM設計瞭豎爐焙燒工藝動態模型,併採用與實際一緻的過程控製軟硬件繫統建立瞭豎爐過程半實物倣真繫統。通過倣真實驗穫得磁選管迴收率與燃燒時溫度設定值之間的動態關繫,併與實際數據進行瞭比較驗證。錶明該平檯能夠作為運行優化控製方法設計的實驗和測試工具。
수로배소시아국적철광선광공업중상견적공예배절。기관건공예지표시자선관회수솔,반영료광석배소적질량。단자선관회수솔무법재선실시측량。재실제생산중,대수로배소자선관회수솔적공제일반통과운행우화공제실현。이운행우화공제책략적설계수요진행대량공업현장실험,건립자선관회수솔상대우주요공제변량적동태향응관계,저양주적성본고,풍험대。위료해결저일문제,기우야금모의연건METSIM설계료수로배소공예동태모형,병채용여실제일치적과정공제연경건계통건립료수로과정반실물방진계통。통과방진실험획득자선관회수솔여연소시온도설정치지간적동태관계,병여실제수거진행료비교험증。표명해평태능구작위운행우화공제방법설계적실험화측시공구。
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.