Efficient and accurate monitoring and early warning of coal dynamic disaster and other disasters can provide guarantee for the efficient operation of mine transportation system. However, the traditional threshold early warning method often fails to warning some accidents. To address above issues, a new early warning method was proposed based on "quiet period" phenomenon of AE and EMR during fracture. It is found that, a "quiet period" of AE and EMR was present before the load reaches the peak stress, which could be used as one of the precursors to warn the imminent failure of coal and rock specimens. MS and AE signals increased abnormally followed by the phenomenon of "quiet period" before the occurrence of coal dynamic disaster on site, and the decrease of MS events in the "quiet period" is about 57%–88% compared with that in previous abnormal increase stage. During the damage evolution of coal and rock, "quiet period" phenomenon usually occurred at 85%–90% of the peak stress, where the slope of damage parameter curve is almost zero. The "quiet period" of the AE-EMR signals and the low change rate of damage parameter before failure provide a theoretical foundation for the coal dynamic disaster warning based on the "quiet period" precursor found in MS-AE-EMR monitoring system. These findings will help reduce the number of under-reported events and improve early warning accuracy.

对煤炭动力灾害等灾害进行高效、准确的监测预警，可以为矿山运输系统的高效运行提供保障。然而，传统的阈值预警方法往往无法预警一些事故。针对上述问题，提出了一种基于骨折过程中AE和EMR“静默期”现象的预警方法。研究发现，在载荷达到峰值应力之前，存在一个AE和EMR的“静默期”，可以作为警告煤岩试样即将失效的前兆之一。MS和AE信号异常增加，现场煤动力灾害发生前出现“静息期”现象，“静息期”MS事件减少 较前期异常升高阶段约 57%～88%。在煤岩损伤演化过程中，“静息期”现象通常发生在应力峰值的 85%~90%，此时损伤参数曲线的斜率几乎为零。AE-EMR信号的“静默期”和故障前损伤参数的低变化率为基于MS-AE-EMR监测系统中“静默期”前兆的煤炭动态灾害预警提供了理论依据。这些发现将有助于减少漏报事件的数量并提高预警的准确性。其中损伤参数曲线的斜率几乎为零。AE-EMR信号的“静默期”和故障前损伤参数的低变化率为基于MS-AE-EMR监测系统中“静默期”前兆的煤炭动态灾害预警提供了理论依据。这些发现将有助于减少漏报事件的数量并提高预警的准确性。其中损伤参数曲线的斜率几乎为零。AE-EMR信号的“静默期”和故障前损伤参数的低变化率为基于MS-AE-EMR监测系统中“静默期”前兆的煤炭动态灾害预警提供了理论依据。这些发现将有助于减少漏报事件的数量并提高预警的准确性。