ZHANG Jingzhao, XIONG Shuai, FAN Jingdao, et al. Research on the influence of roadway obstacles on the position of wind speed monitoring[J]. Journal of Mine Automation,2023,49(9):64-72. DOI: 10.13272/j.issn.1671-251x.2023020040
Citation: ZHANG Jingzhao, XIONG Shuai, FAN Jingdao, et al. Research on the influence of roadway obstacles on the position of wind speed monitoring[J]. Journal of Mine Automation,2023,49(9):64-72. DOI: 10.13272/j.issn.1671-251x.2023020040

Research on the influence of roadway obstacles on the position of wind speed monitoring

More Information
  • Received Date: February 12, 2023
  • Revised Date: September 14, 2023
  • Available Online: September 26, 2023
  • The existing high-precision wind speed sensors are uniformly installed in the coal mines under normal airflow conditions. It does not consider the abnormal airflow caused by obstacles placed in the roadway. It cannot meet the wind speed precision requirements of intelligent ventilation and it is difficult to achieve safe production in the mine. In order to solve the above problems, taking the 11218 return air roadway of Xiaojihan Coal Mine as the research object, the influence of different positions and sizes of obstacles in the underground roadway on wind speed is studied. Based on on-site measured roadway basic parameters and Fluent software, a roadway model is constructed that fits the features of the mine. The influence of factors such as the distance between the obstacle placed on the floor at a distance of 10 meters from the upstream port and the two sides (referred to as the distance L), its shape, size, and position on the monitoring position of roadway wind speed is studied. ① The quantitative analysis results show that there are small reasonable wind speed regions at the right angles of the cross-section for each model. The maximum area is when L=0.5 m, followed by when L=1 m, and the minimum area is when L=0 m. As the distance L increases, the optimal placement position of the wind speed sensor follows a uniform distribution with the increase of the x-coordinate (roadway direction) - a trace distribution at the right angle of the cross-section - a hollow rounded rectangle distribution pattern. The reasonable airflow diffuses faster towards the two sides. When L=0 m, the reasonable airflow distribution of the vertical line in the roof position is at 2.59-2.78 m. When L=0.5 m, the reasonable airflow distribution of the vertical line in the roof position is between 2.59-2.80. When L=1 m, the reasonable airflow distribution of the vertical line in the roof position is 2.61-2.78 m. ② The qualitative analysis results indicate that the average wind speed in the roadway with obstacles is in a state of increase - decrease - increase - balance. The vertical placement or increase in width of obstacles has a significant impact on wind flow. The volume of obstacles is the same, and the peak wind speed is roughly the same. When the wind flow develops steadily, the wind speed reliability is highest at L=0.5 m, followed by L=1 m, and the reliability is lowest at L=0 m. ③ Through the analysis of wind speed universality, it can be concluded that under the same model, different wind speed change rates are in four stages of ascending - descending - ascending - balancing. Under the condition of model 2 and spacing L=0.5 m, the conclusion that the influence on the air flow transport law of the return air roadway is relatively small has wind speed universality.
  • [1]
    袁亮. 煤及共伴生资源精准开采科学问题与对策[J]. 煤炭学报,2019,44(1):1-9.

    YUAN Liang. Scientific problem and countermeasure for precision mining of coal and associated resources[J]. Journal of China Coal Society,2019,44(1):1-9.
    [2]
    刘剑,李雪冰,宋莹,等. 无外部扰动的均直巷道风速和风压测不准机理实验研究[J]. 煤炭学报,2016,41(6):1447-1453.

    LIU Jian,LI Xuebing,SONG Ying,et al. Experimental study on uncertainty mechanism of mine airvelocity and pressure with non-external disturbance[J]. Journal of China Coal Society,2016,41(6):1447-1453.
    [3]
    李雪冰,刘剑,秦洪岩,等. 湍流脉动影响下巷道平均风速单点统计测量方法[J]. 华北科技学院学报,2018,15(2):1-9.

    LI Xuebing,LIU Jian,QIN Hongyan,et al. Method for air velocity measurement with single-point under the influence of turbulent fluctuation[J]. Journal of North China Institute of Science and Technology,2018,15(2):1-9.
    [4]
    丁翠,何学秋,聂百胜. 矿井通风巷道风流分布“关键环”数值与实验研究[J]. 辽宁工程技术大学学报(自然科学版),2015,34(10):1131-1136.

    DING Cui,HE Xueqiu,NIE Baisheng. Numerical and experimental research on "key ring" distribution of ventilation in mine tunnels[J]. Journal of Liaoning Technical University(Natural Science),2015,34(10):1131-1136.
    [5]
    杨宇,王毅. 煤矿井下拱形巷道低风速区风速分布的风洞模拟[J]. 煤炭技术,2017,36(6):42-45.

    YANG Yu,WANG Yi. Wind tunnel simulation on wind speed sistribution of low speed zone in coal mine arch roadway[J]. Coal Technology,2017,36(6):42-45.
    [6]
    潘竞涛. 基于最小二乘法的风速传感器测量值推导巷道平均风速[J]. 煤炭技术,2018,37(1):213-215.

    PAN Jingtao. Derivation of average wind speed of roadway from wind sensors measurements based on least square method[J]. Coal Technology,2018,37(1):213-215.
    [7]
    李亚俊,李印洪,吴洁葵,等. 巷道断面风流分布规律试验研究[J]. 有色金属(矿山部分),2019,71(5):102-104,110.

    LI Yajun,LI Yinhong,WU Jiekui,et al. Experimental study on air flow distribution law of the roadway[J]. Nonferrous Metals(Mining Section),2019,71(5):102-104,110.
    [8]
    宋莹,王东,郭欣,等. 突扩巷道流场风流分布特征的PIV实验研究[J]. 中国安全生产科学技术,2017,13(6):86-91.

    SONG Ying,WANG Dong,GUO Xin,et al. Experimental study on airflow distribution characteristics of flow field in sudden enlarged roadway based on PIV[J]. Journal of Safety Science and Technology,2017,13(6):86-91.
    [9]
    张浪. 巷道测风站风速传感器平均风速测定位置优化研究[J]. 煤炭科学技术,2018,46(3):96-102.

    ZHANG Lang. Optimized study on location to measure average air velocity with air velocity sensor in wind measuring station of underground mine[J]. Coal Science and Technology,2018,46(3):96-102.
    [10]
    张士岭. 煤矿通风巷道断面风速测定与变化规律研究[J]. 矿业安全与环保,2019,46(4):17-20.

    ZHANG Shiling. Study on measurement and change law of wind speed in cross section of coal mine ventilation roadway[J]. Mining Safety & Environmental Protection,2019,46(4):17-20.
    [11]
    鹿广利,武赞龙,赵剑锋. 不同拐弯角度下巷道内风流变化规律的数值模拟[J]. 矿业研究与开发,2019,39(12):116-121.

    LU Guangli,WU Zanlong,ZHAO Jianfeng. Numerical simulation on the change law of air flow in roadway with different turning nagles[J]. Mining Research and Development,2019,39(12):116-121.
    [12]
    张京兆,王艳,魏引尚,等. 入口形式对矩形巷道定点测风位置影响研究[J]. 矿业研究与开发,2021,41(6):154-157.

    ZHANG Jingzhao,WANG Yan,WEI Yinshang,et al. Study on the influence of inlet patterns on the fixed-point air velocity measurement location in a rectangular airway[J]. Mining Research and Development,2021,41(6):154-157.
    [13]
    李虎民,陈国庆,熊帅,等. 相对粗糙度对巷道定点测风位置影响的数值分析[J]. 矿业研究与开发,2021,41(9):113-117.

    LI Humin,CHEN Guoqing,XIONG Shuai,et al. Numerical analysis on the influence of relative roughness on the fixed-point air velocity measurement location in an roadway[J]. Mining Research and Development,2021,41(9):113-117.
    [14]
    盛典. 基于FLUENT的煤矿井下风门通风系统研究[J]. 煤炭技术,2022,41(5):149-151.

    SHENG Dian. Research on ventilation system of air door in coal mine based on FLUENT[J]. Coal Technology,2022,41(5):149-151.
    [15]
    葛启发,于润沧,翟建波,等. 基于FLUENT的进路式采场通风优化控制[J]. 矿业研究与开发,2017,37(12):111-116.

    GE Qifa,YU Runcang,ZHAI Jianbo,et al. Ventilation optimization and control of drift-type stope based on FLUENT[J]. Mining Research and Development,2017,37(12):111-116.
    [16]
    郭对明,李国清,侯杰,等. 基于FLUENT的深井掘进巷道局部通风参数优化[J]. 黄金科学技术,2022,30(5):753-763.

    GUO Duiming,LI Guoqing,HOU Jie,et al. Optimization of local ventilation parameters of deep mine excavation roadway based on FLUENT[J]. Gold Science and Technology,2022,30(5):753-763.
    [17]
    王春龙,程力. 基于FLUENT的三山岛金矿深部通风降温系统数值模拟研究[J]. 矿业研究与开发,2022,42(2):129-134.

    WANG Chunlong,CHENG Li. Numerical simulation of deep ventilation and cooling system in Sanshandao Gold Mine based on FLUENT[J]. Mining Research and Development,2022,42(2):129-134.
    [18]
    王波,宋玉彬,王鑫. 基于ANSYS Workbench的隔爆壳体目标驱动优化设计[J]. 工矿自动化,2015,41(12):70-72.

    WANG Bo,SONG Yubin,WANG Xin. Goal driven optimization design of flameproof shell based on ANSYS Workbench[J]. Industry and Mine Automation,2015,41(12):70-72.
    [19]
    时国庆,王德明,奚志林,等. 基于FLUENT对采空区氧气浓度场的数值模拟[J]. 煤炭科学技术,2009,37(6):76-79. DOI: 10.13199/j.cst.2009.06.81.shigq.028

    SHI Guoqing,WANG Deming,XI Zhilin,et al. Numerical simulation of oxygen concentration distribution in gob areas based on FLUENT[J]. Coal Science and Technology,2009,37(6):76-79. DOI: 10.13199/j.cst.2009.06.81.shigq.028
    [20]
    王翰锋. 基于Fluent巷道断面平均风速点定位监测模拟研究[J]. 煤炭科学技术,2015,43(8):92-96. DOI: 10.13199/j.cnki.cst.2015.08.018

    WANG Hanfeng. Simulation study on monitoring and measuring location of average air velocity in section of mine roadway based on Fluent[J]. Coal Science and Technology,2015,43(8):92-96. DOI: 10.13199/j.cnki.cst.2015.08.018
    [21]
    刘剑,李雪冰,陈廷凯,等. 矿井定常湍流脉动对通风阻力测试影响的理论分析[J]. 中国安全生产科学技术,2016,12(5):22-25.

    LIU Jian,LI Xuebing,CHEN Tingkai,et al. Theoretical analysis on influence of steady turbulence fluctuation on ventilation resistance measurement in mine[J]. Journal of Safety Science and Technology,2016,12(5):22-25.
  • Related Articles

    [1]TENG Daiyu, NAN Bingfei. Visual automatic detection method for hydraulic support loss state at the working face[J]. Journal of Mine Automation, 2024, 50(11): 99-108. DOI: 10.13272/j.issn.1671-251x.2024070087
    [2]LI Lei, XU Chunyu, SONG Jiancheng, TIAN Muqin, SONG Danyang, ZHANG Jie, HAO Zhenjie, MA Rui. Attitude monitoring method for hydraulic support in fully mechanized working face based on PSO-ELM[J]. Journal of Mine Automation, 2024, 50(8): 14-19. DOI: 10.13272/j.issn.1671-251x.2024070023
    [3]GAO Siwei, GU Minyong, LI Dianpeng. Design of height measurement sensor for hydraulic support in fully mechanized working face[J]. Journal of Mine Automation, 2024, 50(6): 129-135. DOI: 10.13272/j.issn.1671-251x.2024010089
    [4]WANG Fuzhong. Intelligent working face construction of near vertical extra-thick coal seam in Wudong Coal Mine[J]. Journal of Mine Automation, 2022, 48(S2): 53-57.
    [5]ZHANG Jintao, FU Xiang, WANG Ranfeng, WANG Hongwei. Manual regulation and control decision model of middle hydraulic support cluster automation in the intelligent working face[J]. Journal of Mine Automation, 2022, 48(10): 20-25. DOI: 10.13272/j.issn.1671-251x.17989
    [6]YANG Xiuyu, LIU Shuai, LIU Qing, YANG Qingxiang. Top coal thickness detection method for intelligent fully-mechanized working face[J]. Journal of Mine Automation, 2021, 47(6): 79-83. DOI: 10.13272/j.issn.1671-251x.2020080059
    [7]GAO Weiyong, ZHANG Minjuan. Research on following automation technology of hydraulic support on fully—mechanized coal mining face[J]. Journal of Mine Automation, 2018, 44(11): 14-17. DOI: 10.13272/j.issn.1671—251x.2018050040
    [8]DU Yibo, WANG Guofa, ZENG Qingliang. Production information management system of intelligent welding workshop for hydraulic support[J]. Journal of Mine Automation, 2016, 42(12): 83-87. DOI: 10.13272/j.issn.1671-251x.2016.12.018
    [9]ZHAO Shimin, LIU Qing. Design of laser alignment sensor for alignment of hydraulic supports on working face[J]. Journal of Mine Automation, 2016, 42(11): 74-77. DOI: 10.13272/j.issn.1671-251x.2016.11.018
    [10]JIANG Chunyue, TIAN Muqin, SONG Jiancheng, XU Chunyu, YANG Shihua, CHAI Wen, YANG Dong, DONG Guangzhuai. Design of hydraulic support controller for automatic working face[J]. Journal of Mine Automation, 2014, 40(9): 1-5. DOI: 10.13272/j.issn.1671-251x.2014.09.001
  • Cited by

    Periodical cited type(5)

    1. 胡长俊,林涵. 煤矿智能感知网络中基于后备节点集合的节能容错路由. 传感技术学报. 2023(03): 469-474 .
    2. 周恩浩,李玉玲,何均健. 基于物联网的网络控制器设计. 沈阳工业大学学报. 2019(04): 417-421 .
    3. 侯晓磊,张君君,牛丹彤. 物联网环境下仓库后勤数据安全传输仿真. 计算机仿真. 2019(07): 126-129 .
    4. 韩美芳. 云计算下敏感数据安全传输可靠性评估仿真. 计算机仿真. 2018(09): 405-408 .
    5. 孙旭峰. 基于AODV的矿井低速无线自组网路由设计. 煤炭与化工. 2018(10): 93-96+100 .

    Other cited types(2)

Catalog

    Article Metrics

    Article views (1060) PDF downloads (34) Cited by(7)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return