School of Mechanics and Engineering, Liaoning Technical University

针对矿山动力灾害前兆信息难以识别、提取及预测准确率较低的现状,提出采用非接触式电荷感应监测技术来预测矿山动力灾害,应用自主研制的电荷感应系统对煤岩体在单轴压缩、单轴拉伸、三轴含瓦斯压缩等加载方式下进行了电荷感应测试,同时根据试验数据探究了煤岩体变形、破坏宏观以及微观机制。现场在线式电荷感应监测揭示了工作面开挖过程中煤体应力与煤壁表面感应电荷在时间和空间上的变化规律,对应用电荷感应监测技术预测煤岩动力灾害前景进行了展望,并将电荷量的变化作为煤岩破裂的前兆信息,研制适用于各种类型矿山动力灾害的监测仪器设备,进而形成矿山动力灾害电荷感应监测技术。

According to the status that the omen information of the mine dynamic disaster was hard to distinguish and the prediction accuracy was low, the paper pr oposed a non-contact type charge induction monitoring technology and applied to predict the mine dynamic disaster.A self developed electric charge induced system wa s applied to the electric charge induced measurement and test of the coal and rock under the uniaxial compression, uniaxial tensile, triaxial gas bearing compression an d other loading method.The |lab data was applied to discover the coal and rock deformation, the failure macro and micro mechanism.The site on-line charge induction m onitoring revealed the time and space variation law between the coal stress and induced electric charge on the coal wall surface during the excavation process of the C oal mining face.A prospect was conducted on the outlook of the charge induction monitoring technology applied to predict coal and rock dynamic disaster.The variation of the electric charge value as the omen information of the coal and rock cracking was applied to research and develop the monitoring and measuring instrument and e quipment suitable applied to different type mine dynamic disaster.Thus the charge induction monitoring technology of the mine dynamic disaster was formed.

国家重点基础研究发展计划(973计划)资助项目(2010CB226803)；国家自然科学基金面上资助项目(11172121,51274114)；