Abstract: To solve the problem of low transport efficiency of large rescue equipment during disasters, a modular division method for large rescue equipment based on correlation was proposed. First, a mathematical model for the correlation evaluation of components was established, the correlation between rescue equipment components was evaluated, and a comprehensive correlation matrix was obtained. Second, a hierarchical clustering algorithm was improved for rescue equipment, and the components were clustered based on the comprehensive correlation matrix to obtain a hierarchical clustering structure. Finally, a multi-objective optimization model of the rescue equipment module division scheme was established, and each step was adapted based on the genetic algorithm to obtain the optimal module division scheme of the rescue equipment. The method solves several problems that the existing methods cannot be applied to rescue equipment, and its effectiveness is verified in YS220 hydraulic excavator.