Acoustic emission monitoring and early warning method for gas dynamic disasters based on trend and state
A dynamic disaster, monitoring and early warning technology, applied in the direction of gas discharge, earthwork drilling, mining equipment, etc., can solve the problems that the construction quality of the drilling location is greatly affected, and the real-time prediction and early warning cannot be realized, so as to improve the accuracy and judgment The effect of knowledge efficiency and simplification of workload
Active Publication Date: 2021-07-20
CHINA COAL TECH & ENG GRP CHONGQING RES INST CO LTD
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At present, the prediction of coal-rock gas dynamic disasters is mainly realized by arranging boreholes and measuring relevant parameters. The impact of the results is relatively large, it is a non-continuous point prediction method, and it is impossible to realize real-time prediction and early warning
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[0022] figure 1 It is a comprehensive early warning flow chart of the present invention; as shown in the figure; a method for monitoring and early warning of acoustic emission of gas dynamic disasters based on trends and states includes the following steps;
[0023] A: Install the acoustic emission signal generator at the monitoring position, continuously collect the acoustic emission signal from the acoustic emission signal generator, and extract the real and effective acoustic emission characteristic parameters; the effective and real acoustic emission characteristic parameter index data are compared with mine operation procedures And operating conditions, signal frequency distribution, wavelength and other factors are comprehensively analyzed and then extracted to determine that the main frequency of the real acoustic emission signal of coal and rock mass is between 50 and 500 Hz, and the waveform is symmetrical, while the main frequency of the acoustic emission signal gener...
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The invention discloses an acoustic emission monitoring and early warning method. An acoustic emission signal generator is installed at a monitoring position to extract real and effective acoustic emission characteristic parameters; it is based on the operating shifts of mine operations; multiple normal shifts are used to identify periodic acoustics. The emission characteristic parameter is used as a sample, and the average value of the sample is calculated as N, and N is used as the early warning threshold of the normal state; a detection period to be tested is selected as X, and the acoustic emission characteristic parameter of X is extracted as M, if M> N, then the state judgment result at this time is that the state warning needs to be turned on; X is divided into four time periods, and the acoustic emission characteristic parameters of the four time periods are extracted as a, b, c and d respectively, according to The formula judges the trend changes in the four time periods, and confirms whether the trend judgment results need to turn on the trend early warning signal. Judging by the two data of trend and status improves the accuracy of early warning.
Description
technical field [0001] The invention relates to the field of mine production, in particular to an acoustic emission monitoring and early warning method for gas dynamic disasters based on trends and states. Background technique [0002] Coal-rock gas dynamic disasters have brought huge losses and impacts on coal mining enterprises, especially coal and gas outbursts, rock burst and other disasters are the most typical disasters, which seriously threaten the safe production of mines. At present, the prediction of coal-rock gas dynamic disasters is mainly realized by arranging boreholes and measuring relevant parameters. The impact of the results is relatively large, and it is a discontinuous point prediction method, and it is impossible to realize real-time prediction and early warning. Acoustic emission prediction technology is a non-contact prediction technology, which has the characteristics of real-time, dynamic, and continuous prediction. However, the amount of acoustic e...
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IPC IPC(8): E21F17/18E21F7/00
CPCE21F7/00E21F17/18
Inventor 胡杰吕贵春张睿赵旭生李建功康建宁张宪尚孙臣冯康武刘志伟隆清明蒋昱行章飞位乐邓华易韩恩光肖乔
Owner CHINA COAL TECH & ENG GRP CHONGQING RES INST CO LTD