Volume 48 Issue 11
Nov.  2022
Turn off MathJax
Article Contents
SUN Jiping, CHENG Jijie, WANG Yunquan. Coal mine rock burst and coal and gas outburst perception alarm method based on color image[J]. Journal of Mine Automation,2022,48(11):1-5.  doi: 10.13272/j.issn.1671-251x.18042
Citation: SUN Jiping, CHENG Jijie, WANG Yunquan. Coal mine rock burst and coal and gas outburst perception alarm method based on color image[J]. Journal of Mine Automation,2022,48(11):1-5.  doi: 10.13272/j.issn.1671-251x.18042

Coal mine rock burst and coal and gas outburst perception alarm method based on color image

doi: 10.13272/j.issn.1671-251x.18042
  • Received Date: 2022-10-11
  • Rev Recd Date: 2022-11-06
  • Available Online: 2022-11-21
  • The paper analyzes the image characteristics of the thrown coal and rock when rock burst and coal and gas outburst occur. ① The coal and rock thrown out during rock burst and coal and gas outburst are mainly black, but the underground equipment of the coal mine is generally not black. Therefore, nonblack mining equipment can be used as the background and color cameras can be used to identify coal and rock. ② The normal coal falling speed, the moving speed of shearer, roadheader, and the moving speed of underground personnel and vehicles are far less than the speed of coal and rock thrown out in the event of rock burst and coal and gas outburst. Therefore, according to the speed characteristics, the interference from normal coal falling, movement of equipment such as shearer and roadheader, and movement of underground personnel and vehicles can be eliminated. ③ The explosion of gas and coal dust will also cause the objects in the roadway to have a high speed in a short time, accompanied by high brightness. But the rock burst and coal and gas outburst will not produce high brightness. Therefore, according to the average image brightness, the interference of gas and coal dust explosion can be eliminated. The paper proposes a color camera set method. The camera of the heading face should be set at the roof of the heading roadway or near the roof on both sides of the heading roadway. The camera of the working face should be set on the top of the hydraulic support. The paper puts forward a coal mine rock burst and coal and gas outburst perception alarm method based on color image. ① The color camera with fill light shall be set at the roof of the heading roadway or near the roof on both sides of the heading roadway, and at the top of the hydraulic support of the working face. The nonblack mining equipment is used as the background. ② The method monitors and identifies whether the color of the color image has changed greatly. ③ If the image color changes significantly, the average brightness of the image is identified, otherwise the monitoring of the identified image color change continues. ④ If the average brightness of the image is less than the set brightness threshold, the movement speed of the object causing a large change in the image color is identified, otherwise the monitoring of the identified image color change continues. ⑤ If the movement speed of the object is greater than the set speed threshold value, the methane concentration in the monitoring area is identified, otherwise the monitoring of the identified image color change continues. ⑥ If the methane concentration rises rapidly or reaches the alarm value, the coal and gas outburst alarm will be given. Otherwise, the rock burst alarm will be given. The method has the advantages of non-contact, wide monitoring range, low cost, convenient use and maintenance.

     

  • loading
  • [1]
    孙继平. 煤矿事故分析与煤矿大数据和物联网[J]. 工矿自动化,2015,41(3):1-5. doi: 10.13272/j.issn.1671-251x.2015.03.001

    SUN Jiping. Accident analysis and big data and Internet of things in coal mine[J]. Industry and Mine Automation,2015,41(3):1-5. doi: 10.13272/j.issn.1671-251x.2015.03.001
    [2]
    孙继平,钱晓红. 2004—2015年全国煤矿事故分析[J]. 工矿自动化,2016,42(11):1-5. doi: 10.13272/j.issn.1671-251x.2016.11.001

    SUN Jiping,QIAN Xiaohong. Analysis of coal mine accidents in China during 2004-2015[J]. Industry and Mine Automation,2016,42(11):1-5. doi: 10.13272/j.issn.1671-251x.2016.11.001
    [3]
    孙继平,钱晓红. 煤矿事故与应急救援技术装备[J]. 工矿自动化,2016,42(10):1-5. doi: 10.13272/j.issn.1671-251x.2016.10.001

    SUN Jiping,QIAN Xiaohong. Coal mine accident and emergency rescue technology and equipment[J]. Industry and Mine Automation,2016,42(10):1-5. doi: 10.13272/j.issn.1671-251x.2016.10.001
    [4]
    孙继平,钱晓红. 煤矿重特大事故应急救援技术及装备[J]. 煤炭科学技术,2017,45(1):112-116,153. doi: 10.13199/j.cnki.cst.2017.01.019

    SUN Jiping,QIAN Xiaohong. Emergency rescue technology and equipment of mine extraordinary accidents[J]. Coal Science and Technology,2017,45(1):112-116,153. doi: 10.13199/j.cnki.cst.2017.01.019
    [5]
    GB/T 25217.7—2019 冲击地压测定、监测与防治方法 第7部分: 采动应力监测方法[S].

    GB/T 25217.7-2019 Methods for test, monitoring and prevention of rock burst-Part 7: Monitoring method of mining-induced stress[S].
    [6]
    GB/T 25217.6—2019 冲击地压测定、监测与防治方法 第6部分: 钻屑监测方法[S].

    GB/T 25217.6-2019 Methods for test, monitoring and prevention of rock burst-Part 6: Monitoring method of drilling bits[S].
    [7]
    MT/T 839—1999 石门揭穿煤层煤与瓦斯突出危险性的测定方法[S].

    MT/T 839-1999 Measuring method of coal and outburst risk while a cross-cut passing through a seam[S].
    [8]
    GB/T 25217.4—2019 冲击地压测定、监测与防治方法 第4部分: 微震监测方法[S].

    GB/T 25217.4-2019 Methods for test, monitoring and prevention of rock burst-Part 4: Monitoring method of microseismicity[S].
    [9]
    GB/T 25217.5—2019 冲击地压测定、监测与防治方法 第5部分: 地音监测方法[S].

    GB/T 25217.5-2019 Methods for test, monitoring and prevention of rock burst-Part 5: Monitoring method of earth-sound[S].
    [10]
    GB/T 25217.8—2021 冲击地压测定、监测与防治方法 第8部分: 电磁辐射监测方法[S].

    GB/T 25217.8-2021 Methods for test, monitoring and prevention of rock burst-Part 8 : Monitoring method of electromagnetic radiation[S].
    [11]
    国家煤矿安全监察局. 防治煤与瓦斯突出细则[M]. 北京: 煤炭工业出版社, 2019.

    State Administration of Coal Mine Safety. Rules of coal and gas outburst prevention[M]. Beijing: China Coal Industry Publishing House, 2019.
    [12]
    孙继平. 煤与瓦斯突出报警方法[J]. 工矿自动化,2014,40(11):1-5. doi: 10.13272/j.issn.1671-251x.2014.11.001

    SUN Jiping. Alarm methods of coal and gas outburst[J]. Industry and Mine Automation,2014,40(11):1-5. doi: 10.13272/j.issn.1671-251x.2014.11.001
    [13]
    孙继平,余星辰. 基于声音识别的煤矿重特大事故报警方法研究[J]. 工矿自动化,2021,47(2):1-5,44. doi: 10.13272/j.issn.1671-251x.17715

    SUN Jiping,YU Xingchen. Research on alarm method of coal mine extraordinary accidents based on sound recognition[J]. Industry and Mine Automation,2021,47(2):1-5,44. doi: 10.13272/j.issn.1671-251x.17715
    [14]
    孙继平,程继杰. 煤矿冲击地压和煤与瓦斯突出感知报警方法研究[J]. 工矿自动化,2022,48(1):1-6. doi: 10.13272/j.issn.1671-251x.17881

    SUN Jiping,CHENG Jijie. Study on the perception and alarm method of coal mine rock burst and coal and gas outburst[J]. Industry and Mine Automation,2022,48(1):1-6. doi: 10.13272/j.issn.1671-251x.17881
    [15]
    聂百胜,马延崑,孟筠青,等. 中等尺度煤与瓦斯突出物理模拟装置研制与验证[J]. 岩石力学与工程学报,2018,37(5):1218-1225. doi: 10.13722/j.cnki.jrme.2017.1125

    NIE Baisheng,MA Yankun,MENG Junqing,et al. Middle scale simulation system of coal and gas outburst[J]. Chinese Journal of Rock Mechanics and Engineering,2018,37(5):1218-1225. doi: 10.13722/j.cnki.jrme.2017.1125
    [16]
    袁瑞甫,李怀珍. 含瓦斯煤动态破坏模拟实验设备的研制与应用[J]. 煤炭学报,2013,38(增刊1):117-123. doi: 10.13225/j.cnki.jccs.2013.s1.030

    YUAN Ruifu,LI Huaizhen. Development and application of simulation test apparatus for gassy coal dynamic failure[J]. Journal of China Coal Society,2013,38(S1):117-123. doi: 10.13225/j.cnki.jccs.2013.s1.030
    [17]
    国家安全生产监督管理总局. 煤矿安全规程[M]. 北京: 煤炭工业出版社, 2022.

    State Administration of Work Safety. Coal mine safety regulations[M]. Beijing: China Coal Industry Publishing House, 2022.
    [18]
    张延松, 王德明, 朱红青. 煤矿爆炸、火灾及其防治技术[M]. 徐州: 中国矿业大学出版社, 2007.

    ZHANG Yansong, WANG Deming, ZHU Hongqing. Coal mine explosion, fire and its prevention technology[M]. Xuzhou: China University of Mining and Technology Press, 2007.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)

    Article Metrics

    Article views (219) PDF downloads(48) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return