煤矿冲击地压和煤与瓦斯突出事故自动发现与报警方法研究

孙继平; 程继杰

doi:10.13272/j.issn.1671-251x.18188

煤矿冲击地压和煤与瓦斯突出事故自动发现与报警方法研究

doi: 10.13272/j.issn.1671-251x.18188

中国矿业大学（北京）人工智能学院，北京　100083

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9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48项；作为第１发明人获国家授权发明专利130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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出版历程
- 收稿日期: 2024-04-22
- 修回日期: 2024-05-26
- 网络出版日期: 2024-06-13

Research on automatic detection and alarm methods for coal mine rock burst and coal and gas outburst accidents

School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing 100083, China

摘要

摘要: 煤矿冲击地压和煤与瓦斯突出自动感知报警方法是及时发现事故并应急救援，减少人员伤亡，避免或减少瓦斯和煤尘爆炸等次生事故发生，遏制事故迟报、漏报和瞒报的有效措施。煤矿冲击地压事故感知难，目前还没有煤矿冲击地压事故自动发现和报警方法，煤矿冲击地压事故主要靠人工发现。目前仅有基于甲烷、风速和风向传感器的煤与瓦斯突出自动报警方法，但存在响应速度慢、甲烷传感器损毁前监测不到甲烷浓度大幅升高等问题。提出了煤矿冲击地压和煤与瓦斯突出图像感知报警方法：根据煤矿冲击地压和煤与瓦斯突出温度、颜色、深度、掩埋等图像特征，识别煤矿冲击地压和煤与瓦斯突出；再根据巷道空间和采掘工作面的甲烷浓度变化，区分冲击地压和煤与瓦斯突出，如果甲烷浓度大面积迅速升高，则判定为煤与瓦斯突出，否则判定为冲击地压。该方法具有直观、响应速度快、非接触、监测范围广、简单可靠等优点，可直观地记录煤矿冲击地压和煤与瓦斯突出真实情况；当煤矿冲击地压和煤与瓦斯突出事故报警后，调度室值班人员可以通过录像，立即确认事故，及时进行应急救援。提出了减少煤矿冲击地压和煤与瓦斯突出抛出的煤岩对图像感知影响的方法：摄像机多点布置，摄像机设置在较高位置，视频数据及时传输，甲烷传感器多点布置等。
- 冲击地压 /
- 煤与瓦斯突出 /
- 煤矿事故感知 /
- 灾害报警 /
- 图像识别
Abstract: The automatic perception and alarm method for coal mine rock burst and coal and gas outburst is an effective measure to timely detect accidents and emergency rescue, reduce casualties, avoid or reduce secondary accidents such as gas and coal dust explosions, and curb delayed, missed, and concealed reporting of accidents. It is difficult to perceive coal mine rock burst accidents, and there is currently no automatic detection and alarm method for coal mine rock burst accidents. Coal mine rock burst accidents are mainly discovered manually. At present, there are only automatic alarm methods for coal and gas outbursts based on methane, wind speed, and direction sensors. There are problems such as slow response speed and inability to detect significant increases in methane concentration before methane sensor damage. A method for image perception and alarm of coal mine rock burst and coal and gas outburst has been proposed. Based on the image features of coal mine rock burst and coal and gas outburst temperature, color, depth, burial, etc., the method recognizes coal mine rock burst and coal and gas outburst. Based on the changes in gas concentration in the roadway space and mining face, the method distinguishes between rock burst and coal and gas outburst. If the gas concentration rapidly increases over a large area, it is judged as coal and gas outburst, otherwise it is judged as rock burst. This method has the advantages of intuitiveness, fast response speed, non-contact, wide monitoring range, simplicity and reliability, and can intuitively record the real situation of coal mine rock burst and coal and gas outburst. When the coal mine rock burst and coal and gas outburst accidents are alarmed, the personnel on duty in the control room can immediately confirm the accident through video recording and carry out emergency rescue in a timely manner. A method has been proposed to reduce the impact of coal mine rock burst and coal and gas outbursts on image perception, including multi point arrangement of cameras, setting of cameras at higher positions, timely transmission of video data, and multi-point arrangement of methane sensors.
- rock burst pressure /
- coal and gas outburst /
- perception of coal mine accidents /
- disaster alarm /
- image recognition

HTML全文

图 1 煤矿冲击地压和煤与瓦斯突出图像感知报警方法

Figure 1. Image perception alarm method of coal mine rock burst and coal and gas outburst

下载: 全尺寸图片幻灯片

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