Rock acoustic emission is often used to study the evolution of brittle materials. The cause of rock internal damage can be monitored continuously and real-timely by sensing rock acoustic wave. However, the key problem is how to split the position and analyze the acoustic emission characteristics based on the acoustic tracking experiment. First, we collected the acoustic waves of rock evolution. Then, a linear relationship is established between the acoustic emission and the propagation process of rock. And we proposed a rock sound source crowd localization algorithm. The algorithm can accurately restore the internal deformation and failure process of the rock. Finally, we designed an acoustic emission characteristic analysis method based on the acoustic source and rock sound. Test results of the ten location algorithm show that the positioning error of the proposed algorithm is less than 0.005?m, which is obviously better than the least square method. The calculation of rock strength and splitting rate is consistent with the actual measurement by using the embedded acoustic emission characteristic analysis mechanism.
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