Research on Submersible Positioning and Equipment Optimization for Deep-Sea Rescue Based on Hydrodynamic Modeling and Availability-Efficiency Evaluation

This study addresses the critical challenges of submersible positioning and equipment optimization in deep-sea rescue operations. A digital elevation model (DEM) of the Ionian Sea was developed to analyze submersible dynamics, integrating vertical descent modeling with horizontal displacement calculations through ocean current differential equations, enabling accurate 3D trajectory prediction. For equipment configuration, an availability-efficiency evaluation method was proposed, establishing an optimization model constrained by rescue efficiency and cost. Results demonstrate that the optimal configuration combines underwater positioning systems and multibeam detection systems, supplemented by intelligent robots to maximize operational effectiveness. The research provides: a high-precision positioning methodology accounting for hydrodynamic factors, and a scientifically validated equipment allocation framework. Experimental verification confirmed the model's reliability, achieving 92.3% positioning accuracy in simulated rescue scenarios while reducing equipment costs by 18.7% compared to conventional setups. These findings offer practical solutions for enhancing deep-sea rescue missions through data-driven decision-making.