浮选流体动力学关键技术研究与装备智能化发展路径

Research on Key Technologies of Flotation Hydrodynamics and Equipment Intelligent Development Path

为精准定义和测量气体体积流量(Q_(g))、表观气体速度(J_(g))、气泡直径(D_(32))及其分布(BSD)、气泡表面积通量(S_(b))、体积气含率(ε_(g))等流体动力学关键参数,研发成型了新一代浮选流体动力学特征阈值传感器系统。结果表明:该传感器系统通过多维度测量浮选设备以及浮选回路的核心参数,能够对采集到的数据进行建模分析,形成优化方案并生成自动化操作指令,推动选矿技术经济指标实现优化提升,有效填补国内矿业领域此类设备研发的技术空白,为选矿工业4.0的实现创造了有利条件。工业化应用成果表明:该传感器系统具备较为精准评价大型浮选设备运行效能的能力,能够实现矿山浮选流程的金属回收率、精矿品位等经济指标的最优解。

In order to define and measure the flotation hydrodynamics key parameters precisely such as gas volume flow(Q_(g)),superficial air flow rate(J_(g)),bubble size(D_(32))and its distribution,bubble surface area flux(S_(b))and gas holdup(ε_(g)),Chinalco Research Institute of Science and Technology(CRIST)develops the new generation of flotation hydrodynamic sensors system.The results showed the sensor system may model and analyze the collected data through multi-dimensional measurement of flotation equipment and the core parameters of flotation circuit,forms an optimization scheme and generates au-tomatic operation instructions to promote the selection.The optimization and improvement of mining technology and economic indicators effectively fills the technical gap in the research and development of such equipment in the domestic mining field,creating favorable conditions for the realization of mineral processing industry 4.0.The results of industrial application showed that the sensor system has the ability to accurately evaluate the operation efficiency of large flotation equipment,and can a-chieve the optimal solution of economic indicators such as metal recovery rate and concentrate grade in mine flotation process.