中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (4): 44-50.doi: 10.16265/j.cnki.issn1003-3033.2022.04.007

• 安全工程技术 • 上一篇    下一篇

综掘面风流调控下粉尘双目标优化研究

龚晓燕(), 童丹丹, 樊江江, 彭高高, 李珍, 赵少龙   

  1. 西安科技大学 机械工程学院,陕西 西安 710054
  • 收稿日期:2021-12-26 修回日期:2022-03-13 出版日期:2022-04-28 发布日期:2022-10-28
  • 作者简介:

    龚晓燕 (1966—),女,甘肃临洮人,博士,教授,博士生导师,主要从事矿井智能化通风风流动态调控技术及设备研发、预测预警故障诊断及智能决策支持系统研发等方面的工作。E-mail:

  • 基金资助:
    国家自然科学基金面上项目资助(51874235); 陕西自然科学基础研究计划-企业陕煤联合基金资助(2021JLM-01)

Study on dual-objective optimization of dust under airflow regulation in fully mechanized faces

GONG Xiaoyan(), TONG Dandan, FAN Jiangjiang, PENG Gaogao, LI Zhen, ZHAO Shaolong   

  1. College of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • Received:2021-12-26 Revised:2022-03-13 Online:2022-04-28 Published:2022-10-28

摘要:

为解决煤矿综掘面局部通风方式下,风筒出风口风流状态不能根据掘进过程实际需求动态调控,造成巷道内粉尘严重积聚的问题,利用流场模拟试验方法,分析获取出风口风流参数变化下粉尘浓度的回归数据,以掘进机司机位置处呼尘及回风侧全尘质量浓度最低为优化目标,构建风流调控下的粉尘浓度双目标优化模型,基于粒子群算法求解该模型,并选取理想解作为最优风流调控方案;利用自主研制的风流调控装置分析井下测试及降尘效果。研究结果表明:经过最优风流调控,出风口距工作面5和10 m时,回风侧全尘质量浓度分别降低 38.55%和42.11%;掘进机司机位置呼尘质量浓度分别降低 26.05%和27.29%,为实现综掘面安全高效通风降尘提供依据。

关键词: 综掘面, 风流调控, 优化模型, 粒子群算法, 粉尘浓度

Abstract:

In order to solve the problem of heavy dust accumulation in roadways caused by the failure of current ventilation mode in coal mines to dynamically regulate wind state of its air outlets according to actual needs during tunneling process, flow field simulation test method was adopted to analyze and obtain regression data of dust concentration along with changes of air flow parameters of the outlets. Secondly, with the lowest respirable dust concentration at drivers' place and optimal total dust concentration at return side as goals, a dual-objective optimization model of dust concentration under control of airflow was established. Then, it was solved based on particle group algorithm, and ideal solution was selected as optimal airflow control plan. Finally, downhole test and dust reduction effect analysis were carried out using self-developed control device. The results show that after optimal airflow regulation, total dust concentration on return side is reduced by 38.55% and 42.11% when air outlet is 5 and 10 m respectively away from end face, and respirable dust concentration at drivers' place is reduced by 26.05% and 27.29%, thus providing theoretical basis for safe and efficient ventilation and dust reduction in fully mechanized faces.

Key words: fully mechanized face, airflow control, optimization model, particle swarm algorithm, dust concentration