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金属矿山 ›› 2023, Vol. 52 ›› Issue (07): 91-98.

• “矿井粉尘智能防控理论及新技术进展”专题 • 上一篇    下一篇

连采面压风口和抽风口风流调控下除尘效果分析

邱进伟1,2 邹 云1,2 吕逸飞1,2
  

  1. 1. 安徽理工大学安全科学与工程学院,安徽 淮南 232001;2. 深部煤矿采动响应与灾害防控国家重点实验室,安徽 淮南 232001
  • 出版日期:2023-07-15 发布日期:2023-09-05
  • 基金资助:
    “十四五”国家重点研发计划项目(编号:2022YFC2503201)。

Analysis of the Effect of Dust Removal Under the Regulation of Air Flow at the Pressure and Extraction ports of Continuous Mining Face

QIU Jinwei1,2 ZOU Yun1,2 LÜ Yifei1,2 #br#   

  1. 1. School of Safety Science and Engineering,Anhui University of Science and Technology,Huainan 232001,China;2. State Key Laboratory for Mining Response and Disaster Prevention and Control of Deep Coal Mines,Huainan 232001,China
  • Online:2023-07-15 Published:2023-09-05

摘要: 为降低连采面粉尘浓度,对加入抽、压风口垂直下偏角对降尘效果的影响规律进行了研究。 以红柳林 煤矿 25211 工作面为例,将压风筒直径 d1、压风口水平偏转角 α1、压风口垂直下偏角 β1、抽风筒直径 d2、抽风口水平偏 转角 α2 和抽风口垂直下偏角 β2 等 6 个参数作为风流调控参数,通过数值模拟获取了不同风流调控参数调控后的粉 尘浓度数据。 基于响应曲面法和粒子群优化算法,以司机位置处和呼吸带高度粉尘浓度为优化目标,获得了连采面 最佳风流参数。 研究结果表明:加入抽、压风筒垂直下偏角,改变压抽比和压风筒距尘源的位置,粉尘浓度均降低;工 作面与连采机之间的作业空间内,巷道下部粉尘浓度高于上部粉尘浓度;在距迎头 40 m 巷道范围内,粉尘浓度呈现出 先逐渐增加后逐渐减小的变化趋势;各参数对司机位置处和呼吸带高度的粉尘浓度影响程度分别为 α1 > β1 > d1 > d2 > α 2 > β2、 d2 > α1 > d1> β1> β2> α2;通过上述分析获得的连采面最佳风流参数为 d1 = 0. 9 m、 d2 = 1. 1 m、 α1 = 0°、 β1 = 1°、 α 2 = 10°、 β2 = 8°。 经调控后司机位置处粉尘浓度由 297. 09 mg / m3 降低到 134. 98 mg / m3,降低了 54. 57%;呼吸带高度 粉尘浓度由 217. 35 mg / m3 降低到 86. 50 mg / m3,降低了 60. 20%,有效降低了巷道内粉尘浓度,实现了连采面粉尘的 高效防控。

关键词: 矿井粉尘防控, 连采面, 长压短抽, 风流调控, 响应曲面法, 粒子群优化算法

Abstract: In order to reduce the dust concentration at the continuous mining face,the effect of adding the vertical downward deflection angle of the extraction and pressure air openings on the dust reduction effect was studied. Taking the 25211 working face of Hongliulin Coal Mine as an example,six parameters,including the diameter of the pressure air cylinder d1,the horizontal deflection angle of the pressure air outlet α1,the vertical downward deflection angle of the pressure air outlet β1,the diameter of the extraction air cylinder d2,the horizontal deflection angle of the extraction air outlet α2and the vertical downward deflection angle of the extraction air outlet β2,were taken as the air flow control parameters,and the dust concentration data after different air flow control parameters were obtained through numerical simulation. Based on the response surface method and particle swarm optimization algorithm,the optimal air flow parameters of the continuous mining face were obtained with the dust concentration at the driver′s position and the height of the breathing zone as the optimization targets. The study results show that the dust concentration decreases by adding the vertical downward deflection angle of the extraction and pressure ducts, changing the pressure and extraction ratio and the position of the pressure ducts from the dust source. The dust concentration at the lower part of the tunnel is higher than that in the upper part of the tunnel in the working space between the continuous mining face and the continuous mining machine. The dust concentration shows a change trend of gradually increasing and then decreasing within 40 m from the headway. The influence of each parameter on the dust concentration at the driver′s position and the height of the breathing zone are as follows:the degree of influence of each parameter on the dust concentration at the driver′s position and the height of the breathing zone is α1 > β1 > d1 > d2 > α2 > β2, d2 > α1 > d1 > β1 > β2 > α2respectively. Based on the above analysis,the best air flow parameter of the continuous mining face is d1 = 0. 9 m, d2 = 1. 1 m, α1 = 0°, β1 = 1°, α2 = 10°, β2 = 8°. The dust concentration at the driver′s position is reduced from 297. 09 mg / m3 to 134. 98 mg / m3 after the control,a reduction of 54. 57%;The dust concentration at the height of the breathing zone is reduced from 217. 35 mg / m3 to 86. 50
mg / m
3,a reduction of 60. 20%. The dust concentration in the roadway is effectively reduced and the goal of efficient dust prevention and control at the continuous mining face is achieved.

Key words: mine dust prevention and control,continuous mining face,long pressure short pumping,air flow control,response surface method,particle swarm optimization algorithm