Submersible location prediction using SST turbulence and dynamic analysis

Chuang Wang; Kunyi Zhou; Yuyue Bai; Wei Huo

doi:10.1117/12.3035053

11 July 2024 Submersible location prediction using SST turbulence and dynamic analysis

Chuang Wang, Kunyi Zhou, Yuyue Bai, Wei Huo

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321037 (2024) https://doi.org/10.1117/12.3035053
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chuang Wang, Kunyi Zhou, Yuyue Bai, and Wei Huo "Submersible location prediction using SST turbulence and dynamic analysis", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321037 (11 July 2024); https://doi.org/10.1117/12.3035053

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