摘要
半自磨机具有多变量、非线性、强耦合、大滞后、时变性等特征,且很多过程参数难以检测,难以通过常规控制方法实现自动控制。为此,乌山选矿厂以人工经验为基础,找出半自磨机工作时给矿量、磨音、功率、轴压、磨矿浓度、给矿粒度比例之间的关系,并用计算机语言表述出来,得到一种定性的智能控制系统。实践表明:这种半自磨机智能控制系统可根据服务器设定的控制策略,实时采集半自磨机过程参数,自动调整至最优的半自磨机运行状态,在乌山选矿厂应用后较原人工控制可以提高处理量24.7 t/h、延长衬板使用寿命11.1 d、降低吨矿能耗0.49 k Wh/t,具有显著的经济效益,在金属矿山领域具有重要推广应用前景。
Semi-autogenous grind mill has many complex features such as multivariable,nonlinear,strong coupling,large lag,time-varying and so on,and many process parameters are difficult to be detected and control by conventional control method. Therefore,Wushan plant find out relationship among semi-autogenous grind mill feed ore granularity,mill noise,power,axial pressure,grinding concentration,feeding capacity during working,based on the human experience,and expressed by computer language,a qualitative,intelligent control system was obtained. Practice shows that semi-autogenous grind mill can control system according to the control strategy of the server settings,real-time acquisition the mill process parameters,automatically working on optimal parameters on semi-autogenous grind mill process,compared with the original manual control in Wushan Plant,the feeding capacity increased 24. 7 t/h,prolong the service life of the lining board 11. 1 d,mine energy consumption decreased0. 49 k Wh/t,has significant economic benefits,has important application prospects in the field of metal mine.
出处
《金属矿山》
CAS
北大核心
2015年第12期124-128,共5页
Metal Mine
关键词
半自磨机
智能控制
磨音
给矿量
Semi-autogenous grinding
Intelligent control
Mill noise
Feeding capacity
