Submersible location prediction using SST turbulence and dynamic analysis

Abstract

Submersibles play a vital role in exploring shipwreck sites but face challenges like losing contact with the mother ship and mechanical failures. To address these, a submersible location prediction model was developed based on the turbulence collapse model, utilizing data on the Ionian Sea's currents, density, and terrain. The model incorporates an SST turbulence model, collapse processing, and a dynamic analysis of submersible velocity and displacement, with a state function describing the probability distribution of the submersible's location and an influence function for the next moment. This approach allows for defining uncertainty and suggests submersibles should periodically send their position, environmental parameters, and motion status to the mother ship, equipped with precision sonar, inertial navigation systems, environmental monitoring sensors, and communication devices.