煤岩动力现象监测预警频谱声学方法研究进展及发展方向

Research progress and development direction of frequency spectrum acoustic method for monitoring and early warning of coal-rock dynamic phenomena

  • 摘要: 冲击地压、煤与瓦斯突出等煤岩动力现象是煤矿生产过程中面临的严重灾害,煤岩动力现象自动化监测预警是保证煤矿安全生产的重要技术手段,早期研发的基于弹性势能释放角度的微震、声发射、电磁辐射方法自动化监测预警系统得到了不同范围的推广应用。近年来,基于弹性势能积聚角度的频谱声学方法自动化监测预警系统在俄罗斯煤矿得到了快速推广应用,实现了煤岩动力现象(冲击地压、煤与瓦斯突出、煤的突然压出、底板动力破坏瓦斯喷出)、工作面前方煤岩应力状态(地质构造、矿山压力升高、应力状态恶化)和局部防突措施(卸压钻孔)安全性及有效性的实时在线监测预警,成为动力现象和岩体状态监测预警的标准方法。频谱声学方法基于顶板岩层变形导致应力集中、弹性势能积聚的动力现象发生机理,利用采煤机、掘进机割煤时产生的人工声学信号在顶板岩层弱化接触面处的谐振频谱特性,监测煤岩体的应力应变状态,预警工作面动力现象危险性。为了提高中国煤矿煤岩动力现象监测预警技术水平和促进中俄煤矿安全技术交流,阐述了频谱声学方法在俄罗斯的发展历程,系统分析了动力现象频谱声学方法监测预警机理,详细叙述了频谱声学方法主要研究成果和动力现象监测预警指标体系,结合频谱声学方法与微震、声发射、电磁辐射方法的区别,展望了动力现象监测预警方法发展方向,频谱声学方法与微震、声发射、电磁辐射方法的深度融合,将显著提高煤岩动力现象监测预警可靠性和准确性,实现煤岩动力现象监测预警技术新突破。

     

    Abstract: Rock burst, coal and gas outburst and other coal-rock dynamic phenomena are serious disasters in the process of coal mine production. Automatic monitoring and early warning of coal-rock dynamic phenomena is an important technical means to ensure coal mine safety production. The early developed automatic monitoring and early warning system based on microseism, acoustic emission and electromagnetic radiation methods from the perspective of elastic potential energy release has been popularized and applied in different ranges. In recent years, the automatic monitoring and early warning system of frequency spectrum acoustic method based on the accumulation angle of elastic potential energy has been rapidly popularized and applied in Russian coal mines. It has realized the real-time online monitoring and early warning of the safety and effectiveness of coal and rock dynamic phenomena (rock burst, coal and gas outburst, sudden coal extrusion, floor strata dynamic damage gas ejection), coal and rock stress state in front of the working face (geological structure, mine pressure rise, stress state deterioration) and local outburst prevention measures (pressure relief drilling), which has become the standard method for monitoring and early warning of dynamic phenomena and rock mass state. The frequency spectrum acoustic method is based on the dynamic phenomenon mechanism of stress concentration and elastic potential energy accumulation caused by roof rock strata deformation. The resonance frequency spectrum characteristics of artificial acoustic signals generated by coal mining machine and tunnelling machine during coal cutting at the weakened contact surface of roof rock strata are used to monitor the stress and strain state of coal and rock mass, and to warn the risk of dynamic phenomena in working face. In order to improve the technical level of monitoring and early warning of coal-rock dynamic phenomena in China’s coal mines and promote the exchange of coal mine safety technology between China and Russia, the development process of frequency spectrum acoustic method in Russia is expounded. The monitoring and early warning mechanism of frequency spectrum acoustic method for dynamic phenomena is systematically analyzed. The main research results of spectral acoustic method and the monitoring and early warning index system of dynamic phenomena are described in detail. Combined with the differences between frequency spectrum acoustic method and microseism, acoustic emission and electromagnetic radiation methods, the development direction of monitoring and early warning methods for dynamic phenomena is prospected. The deep integration of frequency spectrum acoustic method with microseism, acoustic emission and electromagnetic radiation methods will significantly improve the reliability and accuracy of monitoring and early warning of coal-rock dynamic phenomena. A new breakthrough in monitoring and early warning technology of coal-rock dynamic phenomena is realized.

     

/

返回文章
返回