The invention discloses a rock fracture early warning method based on
acoustic emission signal statistical analysis, and belongs to the field of
rock mechanics and
geotechnical engineering. Firstly, real-time
acoustic emission monitoring is carried out on the rock deformation and damage process, and
ringing counts are recorded and obtained; secondly, the characteristic statistics, including variance and autocorrelation coefficient,of
ringing counts is calculated through a formula, and the variance of
ringing counts and the change rate of autocorrelation coefficient are calculated; and finally,early warning
signal discrimination is carried out according to the variance of ringing counts and the change rate of the autocorrelation coefficient. When the change rate is greater than the threshold, the
system automatically gives an alarm to indicate that the rock is about to crack. If the change rate does not exceed the threshold, monitoring and judging are continuous. According to the earlywarning method, early warning
signal points are easy to identify and stable in calculation, and objectivity and accuracy of the early warning method can be ensured; the calculation process is simpleand convenient to operate; real-time tracking and early warning can be achieved, and the method can be widely applied to rock damage early warning in the
engineering fields of water conservancy and
hydropower, transportation, mineral resource exploitation,
underground space development and the like.