The paper begins with a preliminary analysis of the three states of a submarine when it has not lost power, when it has lost power, and when it is under the influence of external factors such as ocean currents. Secondly, the macroscopic huge ocean is decomposed into multi-level superposition surfaces to analyze the possibility that the submarine may appear at a certain point. Finally, the Bayesian probability is used to calculate the probability density of the possible locations of the submarine, then the line connected to the point with the highest probability on each surface layer of the seawater is the locating submarine movement trajectory. In this paper, we consider multiple submersibles moving in the same area, and firstly, we consider the performance of each submersible as well as the influence of ocean current, water temperature, water depth, density and topography that may be affected underwater, so as to select the optimal equipment adapted to the current underwater environment. Secondly, the interactions between the submersible equipment are considered. The radar recognizes and senses each other's information to understand the position between itself and other submersibles, to ensure safety and improve underwater work efficiency at the same time. Through the integration of various innovative technologies and means, this paper proposes an all-round efficient solution to the problem of submarine rescue in the complex marine environment. The program not only shows originality in academics, but also shows significant practical value in actual implementation.

Bingbing Hou. Integrated submarine search and rescue program based on different water level risk response studies. Academic Journal of Mathematical Sciences (2024) Vol. 5, Issue 3: 60-66. https://doi.org/10.25236/AJMS.2024.050309.

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