重介分选过程分流自动控制系统设计

董志勇, 王然风, 樊民强, 付翔

董志勇,王然风,樊民强,等.重介分选过程分流自动控制系统设计[J].工矿自动化,2017,43(7):23-27.. DOI: 10.13272/j.issn.1671-251x.2017.07.005
引用本文: 董志勇,王然风,樊民强,等.重介分选过程分流自动控制系统设计[J].工矿自动化,2017,43(7):23-27.. DOI: 10.13272/j.issn.1671-251x.2017.07.005
DONG Zhiyong, WANG Ranfeng, FAN Minqiang, FU Xiang. Design of automatic shunt control system in dense-medium separation process[J]. Journal of Mine Automation, 2017, 43(7): 23-27. DOI: 10.13272/j.issn.1671-251x.2017.07.005
Citation: DONG Zhiyong, WANG Ranfeng, FAN Minqiang, FU Xiang. Design of automatic shunt control system in dense-medium separation process[J]. Journal of Mine Automation, 2017, 43(7): 23-27. DOI: 10.13272/j.issn.1671-251x.2017.07.005

重介分选过程分流自动控制系统设计

基金项目: 

国家自然科学基金项目(51274148)

详细信息
  • 中图分类号: TD948

Design of automatic shunt control system in dense-medium separation process

  • 摘要: 针对重介分选过程分流阀手动控制存在精确性差、介质消耗量大等问题,设计了一套重介分选过程分流自动控制系统,建立了基于最小二乘支持向量机的分流阀开度预测模型。该系统利用传感器采集悬浮液密度、煤泥含量、合介桶液位和补水阀开度等参数,作为分流阀开度预测模型的输入变量,经模型计算得出相应的分流阀开度输出值并输送至PLC,PLC根据分流阀开度值控制分流阀动作, 从而实现分流量自动控制。实际应用表明,该系统可使重介悬浮液密度波动控制在±0.005 g/cm3,吨煤介耗降低了0.216 kg。
    Abstract: In view of problems of poor accuracy and high medium consumption of manual control of shunt in dense-medium separation process , an automatic shunt control system in dense-medium separation process was designed, and opening prediction model of the shunt valve based on the least squares support vector machines was established. The parameters including suspension density, coal slime content, qualified medium tank level and opening degree of water supply valve are collected by sensors, which are used as input variables of opening prediction model of the shunt valve. Output value of opening degree of the shunt valve is calculated by the model and then is sent to PLC, so as to control operation of the shunt valve and realize automatic shunt control. The application results show that the density fluctuation of suspension liquid can be controlled in the range of ±0.005 g/cm3, and the ton coal dense-medium consumption is reduced by 0.216 kg.
  • 期刊类型引用(5)

    1. 申浩阳,陈晓雷,袁俊岭,韩禄. 面向UAV的三维空间快速路径规划算法. 计算机与现代化. 2023(02): 6-11 . 百度学术
    2. 侯泽宇,李明骐,马祎萌,赵俊敏,李红双. 一种仿生螳螂救援机器人设计. 机械设计. 2023(S2): 77-81 . 百度学术
    3. 黄骏,朱强. 基于蚁群粒子群融合的多机器人协同路径规划算法. 辽东学院学报(自然科学版). 2023(04): 298-304 . 百度学术
    4. 甘迪,金岩磊,葛立青,郭鑫溢. 基于爬山—蚁群—FCM模糊聚类的不良负荷数据辨识. 电力大数据. 2022(01): 1-8 . 百度学术
    5. 朱宇,朱留存,罗俊琦,沙波. 基于改进烟花算法的路径规划策略研究. 电子技术与软件工程. 2021(20): 76-81 . 百度学术

    其他类型引用(4)

计量
  • 文章访问数:  68
  • HTML全文浏览量:  12
  • PDF下载量:  17
  • 被引次数: 9
出版历程
  • 刊出日期:  2017-07-09

目录

    /

    返回文章
    返回