Highway tunnel smooth blasting prediction method and system

The invention provides a highway tunnel smooth blasting prediction method and system. The method comprises the following steps: S1, establishing sample data of a preset PSO-GA-LSSVM model; s2, training and testing the PSO-GA-LSSVM model through the sample data until the PSO-GA-LSSVM model meets an optimal termination condition of iterative computation; wherein the PSO-GA-LSSVM model embeds crossover and variation in a GA (Genetic Algorithm) into a PSO (Particle Swarm Optimization) algorithm, so that the GA algorithm is added into the memory ability of the PSO algorithm, and the whole population is quickly converged towards a global optimal direction; and S3, predicting the smooth blasting effect of the highway tunnel by using the trained PSO-GA-LSSVM model. According to the method, the PSO-GA-LSSVM model is adopted, and compared with an existing smooth blasting effect prediction method, the calculation time is shorter, and the prediction effect is better. 本发明提供一种公路隧道光面爆破预测方法及系统，其中的方法包括：S1：建立预设PSO-GA-LSSVM模型的样