Intelligent energy efficiency optimization method and system for ship

By constructing an energy efficiency evaluation model and a particle swarm optimization algorithm, adaptive optimization of ship speed and heading parameters is achieved, which solves the problem of response lag in existing technologies, improves energy efficiency and control accuracy, and reduces fuel consumption.

CN120595596APending Publication Date: 2025-09-05JIANGSU TAIHANG INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202510754435.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-06
Publication Date
2025-09-05

AI Technical Summary

Technical Problem

Existing ship energy efficiency optimization methods rely on experience-based adjustments, have a delayed response, and are unable to dynamically adjust speed and heading parameters according to the real-time environment, resulting in high fuel consumption, low propulsion efficiency, and inaccurate control system response.

Method used

An energy efficiency evaluation model is constructed based on real-time navigation data, and the particle swarm optimization algorithm is used to achieve adaptive optimization of ship speed and heading parameters. Accurate evaluation is performed through deep neural networks, and dynamic control is carried out by combining PID and fuzzy adaptive algorithms, and a hierarchical alarm mechanism is introduced.

Benefits of technology

It significantly improves navigation energy efficiency, reduces fuel consumption and improves control accuracy, ensures navigation safety, and has a high level of intelligence.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a ship intelligent energy efficiency optimization method and system, and relates to the technical field of ship energy efficiency optimization control, and the method comprises the steps: collecting the operation data of a ship navigation process, and carrying out the preprocessing of the operation data; inputting the preprocessed operation data into a ship energy efficiency evaluation model, and outputting a current energy efficiency index value of the ship; based on the energy efficiency index value, solving a ship energy efficiency optimization objective function through a particle swarm optimization algorithm to obtain an optimal navigational speed parameter and an optimal course parameter; and issuing the optimal navigational speed parameter and the optimal course parameter to a ship control system, and adjusting the ship navigation state. According to the system, the ship navigation safety is ensured, meanwhile, the fuel consumption is effectively reduced, the overall energy efficiency level is improved, and the high practical value and the intelligent degree are achieved.
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Citation Information

Patent Citations

  • Ship energy efficiency management and control platform and method based on fuzzy clustering and genetic algorithm

    CN104635704A

  • Ship energy efficiency optimization system, method and device based on ship-shore cooperation and medium

    CN112906944A

  • Ship trim optimization method and device, computer equipment and storage medium

    CN119312685A

  • High-efficiency ship automatic control system

    CN119717529A

Cited By

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    CN121325696A

  • Ship navigation control method and system, storage medium and electronic equipment

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