Optimization of Measurement Station Placement for Large-scale 3D Control Network Based on Collision Model and Simplex Algorithm

Large-scale 3D control networks, which are essential for the precise measurement of large scientific facilities, have traditionally relied on empirical models.However, such approaches constrain the accuracy of measurement station placement and lack systematic optimization strategies.In this study, we systematically investigate the optimization of measurement station placement in complex environments and propose a method that integrates a collision model with the simplex algorithm.Simulation results indicate that, relative to conventional empirical model layouts, the proposed approach reduces station redundancy and deployment time, increases the number of effective measuring points by 8%, enhances single-point accuracy by 66%, and significantly improves the overall accuracy of the control network.