基于总体平衡模型的半自磨机在线自诊断工具开发

Development of a SAG mill online self-appraisal tool based on population balance model

工业云服务是工业互联网智能化升级,实现数字矿山建设的重要手段。介绍了针对矿物加工磨矿流程中重要的大型磨矿设备开发数字化模拟模型,并利用工业云服务模式进行半自磨机在线自诊断功能实现的具体研究过程。结果表明,利用基于机理模型开发的半自磨机在线自诊断工具可以在不同选矿生产时段对半自磨机内部物料运动情况、磨矿产品粒度分布等重要信息进行量化计算,并可通过云服务的模式对结果进行快速的可视化展示。该在线自诊断工具不但可以为半自磨机运行状态分析提供直观的判断方法,还可对半自磨操作和流程优化提供建议。

Industrial cloud service is an important means of intelligent upgrading of industrial internet and realization of digital mine construction.This paper introduces the development of digital simulation model for the important large-scale grinding equipment in the mineral grinding process,and the specific research process of realizing the online self-diagnosis function of a SAG mill via the industrial cloud service.The SAG mill online self-appraisal tool can be used for quantitative calculation of important information such as material movement inside the SAG mill and particle size distribution of grinding products in different processing production periods.The results can be quickly visualized by cloud service mode.This tool can not only provide an intuitive judgment method for the operation state analysis of a SAG mill,but also provide suggestions for the SAG mill operation and process optimization according to the calculation results.