基于掩埋图像特征的煤矿冲击地压和煤与瓦斯突出感知报警方法

孙继平; 程继杰; 王云泉

doi:10.13272/j.issn.1671-251x.18106

基于掩埋图像特征的煤矿冲击地压和煤与瓦斯突出感知报警方法

doi: 10.13272/j.issn.1671-251x.18106

1.
中国矿业大学(北京) 机电与信息工程学院, 北京　100083
2.
中国中煤能源集团有限公司, 北京　100011

基金项目: 国家重点研发计划项目（2016YFC0801800）。

详细信息

作者简介:
孙继平（1958—），男，山西翼城人，教授，博士，博士研究生导师，中国矿业大学（北京）原副校长；获国家科技进步奖和技术发明奖二等奖4项（第1完成人3项）；作为第1完成人获省部级科技进步特等奖和一等奖8项；作为第１完成人主持制定中华人民共和国煤炭行业、安全生产行业和能源行业标准40项；作为第１发明人获国家授权发明专利100余件；主持制定《煤矿安全规程》第十一章“监控与通信”；被SCI和EI检索的第1作者或独立完成论文100余篇；作为第1作者或独立完成著作12部；作为国务院煤矿事故调查专家组组长参加了10起煤矿特别重大事故调查工作；E-mail：sjp@cumtb.edu.cn

中图分类号: TD324/712.7
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- 被引次数: 0
出版历程
- 收稿日期: 2023-04-13
- 修回日期: 2023-05-05
- 网络出版日期: 2023-05-10

A perception alarm method for coal mine rock burst and coal and gas outburst based on burial image features

1.
School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
2.
China National Coal Group Corporation, Beijing 100011, China

摘要

摘要: 分析了冲击地压和煤与瓦斯突出时抛出大量黑色煤岩的掩埋图像特征：监视区域内颜色及其对应图形面积变化、颜色及其对应图形数量变化、颜色及其对应图形形状变化、掩埋位置异常等。根据灾害发生时会造成监视区域内非黑色区域面积减少，且减少的速度和加速度较大的特征，提出了基于颜色及其对应图形面积变化特征的冲击地压和煤与瓦斯突出感知报警方法。根据灾害发生时会造成监视区域内非黑色区域数量减少，且减少的速度和加速度较大的特征，提出了基于颜色及其对应图形数量变化特征的冲击地压和煤与瓦斯突出感知报警方法。根据灾害发生时会造成监视区域内非黑色图形的圆形度、矩形度和面积周长比减少，且减少的速度和加速度较大的特征，提出了基于颜色及其对应图形形状变化特征的冲击地压和煤与瓦斯突出感知报警方法。根据灾害发生时会导致煤矿井下人员、液压支架顶部及靠近顶部等位置被煤岩掩埋的特征，提出了基于掩埋位置异常特征的冲击地压和煤与瓦斯突出感知报警方法。上述基于掩埋图像特征的煤矿冲击地压和煤与瓦斯突出感知报警方法具有响应速度快、非接触、监测范围广、成本低和使用维护方便等优点。
- 冲击地压 /
- 煤与瓦斯突出 /
- 图像识别 /
- 灾害感知 /
- 掩埋图像特征
Abstract: The burial image features of a large amount of black coal rock thrown out during rock burst and coal and gas outburst are analyzed. The features include changes in the area of the monitoring area's color and corresponding graphics, changes in the number of colors and corresponding graphics, changes in the shape of colors and corresponding graphics, and anomalies in burial positions. When a disaster occurs, it will result in a reduction in the area of non-black areas within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of color and its corresponding graphic area changes. When a disaster occurs, it will result in a reduction in the number of non-black areas within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of colour and its correspoding graphic number changes. When a disaster occurs, it will cause a decrease in the circularity, rectangularity, and area-to-perimeter ratio of non-black graphics within the monitoring area, with a significant reduction in speed and acceleration. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of color and its corresponding graphic shape changes. When a disaster occurs, it can lead to underground coal mine personnel, hydraulic support at the top and near the top being buried by coal and rock. Based on the above feature, a perception alarm method for rock burst and coal and gas outburst is proposed based on the features of abnormal burial position. The above perception alarm method for rock burst and coal and gas outburst based on burial image features has the advantages of fast response speed, non-contact, wide monitoring range, low cost, and convenient use and maintenance.
- rock burst /
- coal and gas outburst /
- image recognition /
- disaster perception /
- burial image features

HTML全文

图 1 基于颜色及其对应图形面积变化特征的冲击地压和煤与瓦斯突出感知报警方法流程

Figure 1. Flow of rock burst and coal and gas outburst perception alarm method based on color and its graphic area change features

下载: 全尺寸图片幻灯片

图 2 基于颜色及其对应图形数量变化特征的冲击地压和煤与瓦斯突出感知报警方法流程

Figure 2. Flow of rock burst and coal and gas outburst perception alarm method based on color and its graphic number change features

下载: 全尺寸图片幻灯片

图 3 基于颜色及其对应图形形状变化特征的冲击地压和煤与瓦斯突出感知报警方法流程

Figure 3. Flow of rock burst and coal and gas outburst perception alarm method based on color and its graphic shape change features

下载: 全尺寸图片幻灯片

参考文献(23)

[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. SUN Jiping. Accident analysis and big data and Internet of things in coal mine[J]. Industry and Mine Automation,2015,41(3):1-5.
[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. SUN Jiping,QIAN Xiaohong. Analysis of coal mine accidents in China during 2004-2015[J]. Industry and Mine Automation,2016,42(11):1-5.
[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. SUN Jiping,QIAN Xiaohong. Emergency rescue technology and equipment of mine extraordinary accidents[J]. Coal Science and Technology,2017,45(1):112-116,153.
[5]	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].
[6]	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].
[7]	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].
[8]	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].
[9]	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].
[10]	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].
[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. SUN Jiping. Alarm methods of coal and gas outburst[J]. Industry and Mine Automation,2014,40(11):1-5.
[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. 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.
[14]	孙继平,余星辰,王云泉,等. 基于爆炸声音识别的煤矿瓦斯和煤尘爆炸感知方法研究[J]. 工矿自动化,2023,49(3):1-5,114. SUN Jiping,YU Xingchen,WANG Yunquan,et al. Research on perception method of coal mine gas and coal dust explosion based on explosion sound recognition[J]. Journal of Mine Automation,2023,49(3):1-5,114.
[15]	孙继平,余星辰,王云泉. 基于声谱图和SVM的煤矿瓦斯和煤尘爆炸识别方法[J]. 煤炭科学技术,2023,51(2):366-376. doi: 10.13199/j.cnki.cst.2022-2050 SUN Jiping,YU Xingchen,WANG Yunquan. Recognition method of coal mine gas and coal dust explosion based on sound spectrogram and SVM[J]. Coal Science and Technology,2023,51(2):366-376. doi: 10.13199/j.cnki.cst.2022-2050
[16]	孙继平,余星辰. 基于CEEMD分量样本熵与SVM分类的煤矿瓦斯和煤尘爆炸声音识别方法[J]. 采矿与安全工程学报,2022,39(5):1061-1070. doi: 10.13545/j.cnki.jmse.2022.0073 SUN Jiping,YU Xingchen. Sound recognition method of coal mine gas and coal dust explosion based on CEEMD component sample entropy and SVM classification[J]. Journal of Mining & Safety Engineering,2022,39(5):1061-1070. doi: 10.13545/j.cnki.jmse.2022.0073
[17]	孙继平,余星辰. 基于声音特征的煤矿瓦斯和煤尘爆炸识别方法[J]. 中国矿业大学学报,2022,51(6):1096-1105. doi: 10.13247/j.cnki.jcumt.001451 SUN Jiping,YU Xingchen. Recognition method of coal mine gas and coal dust explosion based on sound characteristics[J]. Journal of China University of Mining & Technology,2022,51(6):1096-1105. doi: 10.13247/j.cnki.jcumt.001451
[18]	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
[19]	孙继平,程继杰,王云泉. 基于彩色图像的煤矿冲击地压和煤与瓦斯突出感知报警方法[J]. 工矿自动化,2022,48(11):1-5. 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.
[20]	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. 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.
[21]	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. 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.
[22]	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.
[23]	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.