Path Optimization of Complex and Large-Scale Automated Antenna Assembly Lines

Considering issues such as low assembly efficiency and the inability of the assembly process index and product characteristics to be fully reflected in the traditional construction mechanical arm assembly process, the concept of a digital twin was introduced. The study involved the modeling and simulation technology of the construction mechanical arm assembly process based on the digital twin, and included some path optimization. Furthermore, according to the virtual model, a genetic algorithm was employed to optimize the path in Matlab. Additionally, the Hamiltonian cycle algorithm was utilized to enhance the efficiency of the robot and decrease the working time. Taking the assembly line of a screw arm as an example, it was demonstrated that the assembly simulation based on digital twinning can monitor the assembly process in real time. It can also optimize its configuration to improve assembly efficiency and implement an effective closed-loop feedback mechanism to enhance production efficiency, improve production quality, and reduce production cost.