The reasonable matching of explosive and rock can effectively increase the energy utilization rate of explosive and improve the blasting effect.To study the influence of the matching relationship between explosives and rock on the blasting effect,rock samples from different platforms were collected from an open-pit coal mine in Xinjiang.Through rock static mechanics tests,uniaxial compressive strength,elastic modulus,Poisson′s ratio and tensile strength of different rocks were obtained.Through the SHPB dynamic rock impact test,the influence law of different impact loads on rock stress,strain and rock failure characteristics was obtained.Based on the adjustment of the ratio of different components of the mixed emulsion explosive,five different formulations of the mixed emulsion explosive with different properties were obtained through the detonation velocity test and density test of the mixed emulsion explosive.Based on the theory of explosive and rock energy matching,an explosive and rock energy matching model based on BP neural network was established.The trained PSO-BP neural network was tested by test samples.The average errors of the three groups of prediction are 5.09%,7.26% and 4.79% respectively.Finally,the energy matching model of explosive and rock is applied to the 1252 West platform,1228 East platform and 1180 West platform of an open-pit mine in Xinjiang.The results show that,compared with the traditional explosive formula and blasting parameters,the explosive selected by the matching relationship between the energy of mixed explosive and rock properties can not only reduce the single consumption of explosive,but improve the blasting effect indexes such as bulk rate and backsplitting distance.