Optimization Algorithm and Application Research of Intelligent Ship Energy Management System

Based on the Markov decision algorithm, this paper proposes an efficient optimization scheme for intelligent ship energy management system. The system realizes the rational use of energy and the improvement of ship operation efficiency through real-time monitoring and dynamic allocation of various types of ship energy. This paper first constructs a mathematical model of intelligent ship energy management, and uses the Markov decision algorithm for optimization design to ensure the adaptability and efficiency of the system under different operating conditions. Secondly, this paper simulates the model to verify the robustness and efficiency of the proposed algorithm under complex sea conditions. The simulation results show that the optimized system has significant performance in reducing energy consumption, saving about 12.5% of energy consumption compared with traditional methods, and improving the ship operation efficiency by 9.3%. Through the precise analysis of simulation data, the application value of the algorithm in intelligent ship energy management is proved. The research results of this paper provide new technical support for energy saving of intelligent ships, and provide a theoretical basis and application reference for the optimization design of future intelligent ship systems.