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基于超声波全断面测风的矿井风网实时解算方法

宋涛 王建文 吴奉亮 张国群 陈菲 冯雄 李龙清

宋涛,王建文,吴奉亮,等. 基于超声波全断面测风的矿井风网实时解算方法[J]. 工矿自动化,2022,48(4):114-120, 141.  doi: 10.13272/j.issn.1671-251x.2021090073
引用本文: 宋涛,王建文,吴奉亮,等. 基于超声波全断面测风的矿井风网实时解算方法[J]. 工矿自动化,2022,48(4):114-120, 141.  doi: 10.13272/j.issn.1671-251x.2021090073
SONG Tao, WANG Jianwen, WU Fengliang, et al. Real-time calculation method of mine ventilation network based on ultrasonic full-section wind measurement[J]. Journal of Mine Automation,2022,48(4):114-120, 141.  doi: 10.13272/j.issn.1671-251x.2021090073
Citation: SONG Tao, WANG Jianwen, WU Fengliang, et al. Real-time calculation method of mine ventilation network based on ultrasonic full-section wind measurement[J]. Journal of Mine Automation,2022,48(4):114-120, 141.  doi: 10.13272/j.issn.1671-251x.2021090073

基于超声波全断面测风的矿井风网实时解算方法

doi: 10.13272/j.issn.1671-251x.2021090073
基金项目: 国家自然科学基金项目(51974232)。
详细信息
    作者简介:

    宋涛(1988-),男,河南西华人,工程师,硕士,主要从事矿井通风与安全方面的研究工作,E-mail:1345465537@qq.com

    通讯作者:

    吴奉亮(1977-),男,四川新都人,教授,博士,主要从事矿井通风与安全方面的教学与研究工作,E-mail:wufl@xust.edu.cn

  • 中图分类号: TD722

Real-time calculation method of mine ventilation network based on ultrasonic full-section wind measurement

  • 摘要: 煤矿井下风流时刻在变化,矿井通风网络解算是一种静态解算方法,无法实时解算动态风流,需要用风速传感器获取动态风流数据。但目前风速传感器稳定性差、覆盖不全面。针对上述问题,提出了一种基于超声波全断面测风的矿井风网实时解算方法。利用超声波在两点间顺风、逆风传播的时间差实现巷道全断面测风,风速测定结果与声速无关,不受声速、温湿度和气压等参数影响,而且避免了传统风速传感器的风道易受矿尘堵塞的难题,测风装置的分辨率达0.03 m/s。通过不断采集主要通风机风量、风压实时工况和部分井巷实时风量解算风网,利用固定风量法将监测风量融入通风网络中,解算得到全风网实时风量,采用拉格朗日乘数法实时修正解算风量与风阻,以解决冗余风量监测分支引起的节点风量不平衡、风阻波动产生的回路风压不平衡问题。通过算例验证了该实时解算方法的解算结果与监测值高度吻合,同时又严格遵循回路风压平衡与节点流量平衡的约束。对柠条塔煤矿含1 319条分支、945个节点的风网进行实时解算,1次解算仅用时0.9 s,解算迭代收敛次数约为105,且解算结果随时间不断更新,验证了该实时解算方法的可行性。

     

  • 图  1  超声波测风原理

    Figure  1.  Wind measurement principle of ultrasonic

    图  2  超声波全断面测风装置安装实物

    Figure  2.  Installation material object of ultrasonic full-section wind speed measuring device

    图  3  简化的矿井通风网络

    Figure  3.  Simplified mine ventilation network

    图  4  风量实时测值显示界面

    Figure  4.  Display interface of real-time values of air volume

    图  5  风速监测值统计

    Figure  5.  Statistical chart of wind speed monitoring values

    图  6  人工测风与超声波测风对比

    Figure  6.  Comparison between manual wind speed measurement values and ultrasonic wind speed measurement values

    图  7  基于WebGL的风网实时解算前端显示界面

    Figure  7.  The front-end display interface of real-time calculation results of mine ventilation network based on WebGl technology

    表  1  图3算例风网实时解算结果

    Table  1.   Real-time calculation results of the example ventilation network of figure 3

    分支号R* 元素/
    (${\rm{N}} \cdot {{\rm{s}}^{2}} \cdot {{\rm{M}}^{-8}}$)
    QM元素/
    (${\rm{m} }^{3}\cdot {\rm{s} }^{-1}$)
    Q0元素/
    (${\rm{m}}^{3}\cdot {\rm{s}}^{-1}$)
    Q1元素/
    (${\rm{m}}^{3}\cdot {\rm{s}}^{-1}$)
    10.007583.088.087.0
    20.380047.547.0
    30.500040.540.0
    40.050027.827.3
    50.200075.374.3
    60.005785.088.087.0
    77.076912.712.712.7
    8087.088.087.0
    下载: 导出CSV

    表  2  图3算例风网实时解算修正结果

    Table  2.   Real-time corrected calculation results of the example ventilation network of figure 3

    分支号Q*元素/
    (m3·s−1
    Q元素/
    (m3·s−1
    R元素/
    (N·s2·m−8
    |QQ0|元素/
    (m3·s−1
    |RR*|/R
    元素/%
    183.085.803550.0185822.2059.6
    247.046.19070.4499751.3115.6
    340.039.612860.5897560.8915.2
    427.327.155690.0469530.646.5
    574.373.346390.2039451.951.9
    685.085.803550.0141232.2059.6
    712.712.457177.2933180.243.0
    887.085.8035502.20
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-09-22
  • 修回日期:  2022-01-25
  • 网络出版日期:  2022-03-05

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