Coal rock dynamic disaster time-space interaction identification method based on acoustic emission characteristic parameters

The invention belongs to the field of mine safety monitoring and early warning, and particularly relates to a coal rock dynamic disaster time-space interaction identification method based on acoustic emission characteristic parameters. An acoustic emission prediction technology has the characteristics of real-time, dynamic, non-contact, continuous prediction and the like, an acoustic emission signal contains premonition information of disaster occurrence, the acoustic emission prediction technology is applied to online monitoring of coal rock dynamic disasters in the prior art, and although continuous monitoring is realized in the prior art, judgment is only carried out in the time dimension, and the probability that the coal rock dynamic disasters cannot be monitored in real time is low. A corresponding relation between mining and digging distances of a mine production working face and monitoring signals is not considered, that is, analysis is not carried out in the spatial dimension, and the accuracy of an