Thermocline identification method and system based on hyperbolic tangent function fitting

By fitting the temperature-depth profile of the ocean thermoclimb layer using a hyperbolic tangent function and optimizing parameters with the trust domain reflection algorithm, the problems of low fitting accuracy and high computational complexity in the existing technology are solved, and higher recognition accuracy and adaptability are achieved.

CN119692213AActive Publication Date: 2025-03-25CHINA UNIV OF PETROLEUM (EAST CHINA)
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Patent Information

Application Number
CN202510213749.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-03-25
Estimated Expiration
2045-02-26

AI Technical Summary

Technical Problem

When identifying the boundaries of the ocean thermoclimb, the prior art has problems such as low fitting accuracy, high computational complexity and poor adaptability, especially in areas with steep changes in the thermoclimb.

Method used

The temperature-depth profile is fitted with a hyperbolic tangent function, combined with the trust domain reflection algorithm (TRF) to optimize the fitting parameters, and the upper and lower bounds of the thermoclip layer are determined by the rolling function.

Benefits of technology

The fitting accuracy of steep areas of the thermoclip layer is improved, the robustness and adaptability of the identification results are enhanced, and the calculation complexity is reduced, and it is suitable for complex marine profile data.

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Abstract

The invention belongs to the technical field of ocean temperature data identification, and discloses a thermocline identification method and system based on hyperbolic tangent function fitting. The method comprises the steps of data preparation and preprocessing; selecting a section range; fitting a curve; and determining a thermocline upper bound and a thermocline lower bound through a rolling function. According to the method, the hyperbolic tangent function is used for fitting the S-shaped characteristic curve of the temperature-depth profile, and the structure of the ocean thermocline is accurately described. Compared with a traditional Sigmoid function, the hyperbolic tangent function is better in performance when fitting a steep change area, and rapid temperature change of a thermocline central area can be caught more finely. According to the method, fitting parameters (amplitude, steep degree, central position and vertical offset) are optimized by adopting a trust region reflection algorithm, so that a fitting result is ensured to have higher precision and robustness, and the method is suitable for complex ocean profile data.
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