摘要
针对现有矿浆浓度检测系统存在的测量数据单一、取样过程易沉降、难以检验所取样品均匀性等缺点,设计了一种矿浆多参数在线检测系统。基于称重法测量原理实现对矿浆浓度、体积流量、质量流量等多参数的在线检测。使用基于旋流消能法的取样器实现对原矿浆均匀化及防沉降处理。基于水力学孔流原理实现对取样矿浆的均值化处理及均匀性检验。在云南某选矿厂的长期应用结果表明:检测系统所测数据与浓度壶所测数据差值在2%以内,满足工业精度要求。由取样器取出样品的不均匀度在1%以内,取样过程未出现沉降、堵塞等现象,取样效果良好。
Aiming at the shortcomings of the existing pulp concentration measurement system,such as single measurement data,easy settlement of sampling process,and difficulty in testing the uniformity of samples taken,a multi-parameter on-line measurement system for slurry was designed.On-line measurement of multiple parameters such as slurry concentration,volume flow,mass flow rate and so on were detected based on the weighing method measurement principle.The homogenization and anti-settling treatment of the original slurry was realized by using a sampler based on the swirling energy dissipating method.Based on the principle of hydraulic pore flow,the mean value treatment and uniformity test of the sampled slurry were realized.The long-term application results of a concentrator in Yunnan indicate that the difference between the measured data of the measurement system and the data measured by the concentration pot was within 2%,which met the requirements of industrial precision.The unevenness of the sample taken was within 1%,and during the sampling process,there was no sedimentation and blockage and the sampling effect was good.
作者
王方
雷金辉
陈焰
李朝辉
高波
张矿伟
WANG Fang;LEI Jinhui;CHEN Yan;LI Chaohui;GAO Bo;ZHANG Kuangwei(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;Yunnan Hualian Zinc Indium Co.,Ltd.,Wenshan 663701,Yumnan,China;Yunnan Institute of Measuring and Testing Technology,Kunming 650228,China;School of Physics and Electromic Engineering,Yuxi Normal Unirersity,Yuri 653100,Yurman,China)
出处
《有色金属(选矿部分)》
CAS
北大核心
2020年第5期107-111,共5页
Nonferrous Metals(Mineral Processing Section)
基金
云南省应用基础研究项目(2018FD093)。
关键词
多参数检测
旋流消能法
孔流原理
取样均值化
multi-parameter measurement
swirl energy dissipation method
pore flow principle
sampling mean