A method and system for self-adaptive adjustment of jet parameters of a towed perturbation platform

CN122431159APending Publication Date: 2026-07-21COSCO SHIPPING (QIDONG) OFFSHORE CO LTD
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Patent Information

Application Number
CN202610914212.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-24
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing towed disturbance platforms have difficulty matching jet parameters with the environment and platform status in real time during underwater operations, resulting in problems such as low dredging efficiency, platform instability, and excessive energy consumption.

Method used

By equipping a sensor array to measure the environment and platform status in real time, and combining a fluid-structure interaction simulation model and a multi-objective optimization decision module, the jet parameters are adaptively adjusted to optimize dredging effect, platform stability and energy consumption.

Benefits of technology

It achieves dynamic matching of jet parameters with the environment and platform status, improves dredging efficiency, ensures platform stability and optimizes system energy consumption, and breaks through the limitations of relying on manual experience or single-target adjustment.

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Abstract

The present application provides a kind of towed disturbance platform jet parameter self-adapting adjustment method and system, it is related to underwater engineering equipment intelligent control technical field.The method includes: based on platform sensor group synchronous measurement underwater environment and platform motion state, generate real-time data set;Real-time data and current jet parameter are input into the fluid-structure coupling simulation model of embedded computing unit, predict jet reaction force, dredging effect and energy consumption;Simulation results are input into parameter optimization decision module, to dredging efficiency, platform stability and system energy consumption as optimization goal, to jet pressure, angle and medium ratio as variable constructs multi-objective optimization problem, obtains pareto solution set by using optimization algorithm and selects target jet parameter;Finally, target parameter is converted into control command to drive jet execution mechanism.The present application realizes that jet parameter is dynamically self-optimizing according to environment and state, while guaranteeing platform stability, comprehensively improves dredging efficiency and reduces energy consumption.
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