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磨矿过程的球磨机研磨机理数值仿真及磨机负荷参数软测量综述 被引量:15

Review of Ball Mill Grinding Mechanism Numerical Simulation and Mill Load Parameters Soft Measurement for Mineral Grinding Process
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摘要 鉴于球磨机负荷参数在线监测对实现磨矿全流程运行优化与控制的重要性,对球磨机研磨机理数值仿真及磨机负荷参数软测量进行综述.首先,结合实际磨矿过程对磨机负荷进行描述,明确了磨机负荷及磨机负荷参数定义,结合其相互之间的机理模型给出磨机负荷检测的框架;接着,综述了面向球磨机研磨过程的数值分析现状,厘清不同类型球磨机研磨机理的差异性和基于数值仿真技术支撑磨机负荷参数软测量的可能性;然后,详细综述了基于多组分机械信号进行磨机负荷参数软测量的方法和技术;最后,指出磨矿过程磨机负荷检测的发展趋势和需要解决的问题.可以看到,球磨机负荷参数难以采用常规方法予以解决,必须构建能够模仿领域专家动态认知与补偿机制的智能软测量模型并弥补其存在的不足,方可有效解决. Considering importance of mill load parameter on-line measurement in realization operational optimization and control of the mineral grinding process, ball mill grinding mechanism numerical simulation and mill load parameters soft measurement for the mineral grinding process were reviewed.First,the mill load was described based on the actual grinding process. Then,definitions of mill load,mill load parameters and mechanism model among them were reviewed,and the mill load detection framework was given out. Second,current status of numerical simulation analysis for the grinding processwas reviewed,and the difference between the grinding mechanisms of different ball mills was given out and the possibility of soft measuring mill load based on support of numerical simulation was discussed.Third,mill load parameter soft measurement methods & techniques based on multi-component mechanical signals were reviewed in detail. Finally,the developing trend and the problems that need to be solved were summarized. Results show that the soft measurement of ball mill load parameters is difficult using the normally method. An intelligent soft measuring model with characteristic that simulate domain experts’ dynamic cognition and compensation mechanism must be constructed. Moreover,the shortcomings of domain experts should be overcome. Thus,the intelligent soft measurement of mill load parameter can be realized.
作者 汤健 乔俊飞 刘卓 周晓杰 余刚 赵建军 TANG Jian;QIAO Junfei;LIU Zhuo;ZHOU Xiaojie;YU Gang;ZHAO Jianjun(Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China;Beijing Key Laboratory of Computational Intelligence and Intelligent System,Beijing 100124,China;State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110004,China;State Key Laboratory of Process Automation in Mining & Metallurgy,Beijing 100089,China;Beijing Key Laboratory of Process Automation in Mining & Metallurgy,Beijing 100089,China)
出处 《北京工业大学学报》 CAS CSCD 北大核心 2018年第11期1459-1470,共12页 Journal of Beijing University of Technology
基金 国家自然科学基金资助项目(61573364 61703089) 流程工业综合自动化国家重点实验室开放课题基金资助项目(PAL-N201504) 矿冶过程自动控制技术国家重点实验室 矿冶过程自动控制技术北京市重点实验室资助项目(BGRIMM-KZSKL-2017-07)
关键词 磨矿过程 磨机负荷 机械信号 软测量 grinding process mill load mechanical signals soft measurement
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