FIELD: mining.;SUBSTANCE: invention relates to the mining industry and can be used to predict dynamic phenomena such as coal and gas sudden release, rock bump and the like. Disclosed is the coal beds outburst hazard spectral-acoustic forecasting method, including the generated by the working mechanism broadband acoustic signal in the mountain mass amplitude continuous automatic measurement, the signal analog-to-digital conversion, experimental samples formation from the analog-to-digital conversion samples sequence, fast Fourier transform procedure implementation with them and the spectral components (harmonics) amplitudes discrete series determination, their averaging over time. At that, determining the outburst hazard index Rt current value according to the formula Rt=(Smax,t-1.8)(gmax,t-a), where Smax,t and gmax,t are the drift fines output current maximum value and the gassing initial velocity maximum value, respectively, during the control holes drilling, parameter a is taken equal to 5 for the Vorkuta coal field, it is taken equal to 4 for the remaining fields and deposits of the eastern regions of Russia. Then determining the formation controlled area forecasting instrumental procedure relative outburst hazard coefficient Rr.o.h. according to the formula Rr.o.h.=Rt/b, where the b parameter is taken equal to 21 for the Vorkuta coal field, take equal to 6 for other fields and deposits in the eastern regions of Russia. Determining the operating mechanism noises spectral harmonics amplitudes discrete series median M0min minimum reference value by the formula M0min=nmin⋅Δf, where Δf is the interval between adjacent harmonics, finding the operating mining equipment noise spectral components amplitudes discrete series median critical value using the formula Mcr=M0min/Rr.o.h. Measuring the noise spectral components amplitudes discrete series median Mt current value and comparing it with the Mcr critical value, with Mt≥Mcr formation zone is classified as the outburst hazardous, with MtMcr formation zone is classified as the non-hazardous.;EFFECT: increase in the coal beds mining outburst hazard current forecast reliability.;4 cl, 1 dwg, 1 tbl
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机译：技术领域本发明涉及采矿业，并且可以用于预测动态现象，例如煤和天然气的突然释放，颠簸等。公开了煤层突出危险频谱声波预测方法，包括由工作机制产生的宽带声波信号在山体质量振幅中连续自动测量，信号模数转换，模拟到实验样品的形成等。数字转换采样序列，使用它们进行快速傅里叶变换过程以及频谱分量（谐波）振幅离散序列确定，以及它们随时间的平均值。此时，根据公式R t =（S max，t -1.8）（g确定爆发危险指数R t 当前值 max，t -a），其中S max，t 和g max，t 是细粉输出电流最大值和充气初始值在控制孔钻孔期间，最大速度最大值分别为Vorkuta煤田的参数a等于5，对于俄罗斯东部地区的其余油田和矿床的参数a等于4。然后根据公式R roh = R t / b确定地层控制区预测仪器程序的相对突出危险系数R roh 。 b参数对于Vorkuta煤田而言等于21，对于俄罗斯东部其他地区和矿床而言等于6。通过公式M 0min = n min ⋅Δf确定操作机构噪声频谱谐波振幅离散系列中值M 0min 最小参考值，其中Δf是相邻谐波之间的间隔，使用公式M cr = M 0min / R roh < / Sub>。测量噪声频谱分量的振幅离散序列中值M t 的当前值，并将其与M t ≥M< Sub> cr 形成区被归类为突出危险区，M t cr 形成区被归类为非危险区。效果：增加煤层中的突出危险源当前预报可靠性。; 4 cl，1 dwg，1 tbl
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