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Aiming at the optimization of secondary cooling water distribution system for billet, an intelligent optimization model is established. The objective function is set according to metallurgical criteria, and the optimal solution is obtained by particle swarm optimization, which is applied to dynamic secondary cooling water distribution system. The experimental results show that at different casting speeds, all the indexes of the billet meet the requirements, the total water volume decreases obviously, the overshoot is low, and the water volume of each section meets the expectation.