Research on three-dimensional loading optimization of assembled wallboard components in Antarctic Qinling Station

As the fifth Antarctic scientific research station in China, Qinling station is composed of multiple prefabricated components and functional modules. These components are transported to the Antaror assemctic fbly through land and sea two-stage transportation. In the process, due to the unreasonable packing scheme of the assembled wallboard components, the overall construction cost of the new station is increased. Therefore, based on the two-stage transportation process of the special shaped wallboard components of the Antarctic Qinling Station, this paper focuses on the container loading problem of the wallboard components. Firstly, established a three-dimensional loading model for the new station wallboard components with the goal of maximizing the comprehensive utilization rate of the container. Then, designed a three-space optimization method according to its actual packing situation, and the model is solved by hybrid genetic simulated annealing algorithm. Finally, obtained the better loading scheme through Matlab software calculation. The results show that the optimization can significantly improve the comprehensive utilization rate of containers, thereby reducing the overall transportation cost of components. In order to provide reference value for the optimization of the transportation scheme of the subsequent prefabricated components of the new station and the related research of other polar projects.