Abstract: Aiming at the design and control complexity of the styrene manufacturing process, Kriging surrogate model is used to model the styrene production process simulation system constructed by Aspen plus. Moreover, the distributed estimation algorithm is adopted to optimize the objective function. Results show that the proposed algorithm can not only ensure high precision requirements, but also significantly reduce its calculation time and effectively cope with the contradiction between precision and efficiency.