Research on Ship Optimization Energy Saving Technology Model Based on Internet of Things

This study proposes a ship optimization energy saving technology model based on Internet of Things to improve ship operation efficiency and reduce energy consumption. First, the ship operation data is collected and transmitted in real time by combining Internet of Things technology, and the ship energy efficiency is optimized through data processing and analysis. In order to cope with the complexity of the marine environment, this study introduces fuzzy logic control algorithm to optimize and adjust the navigation parameters of the ship to achieve the best energy saving effect. The system model design includes comprehensive consideration of factors such as ship speed, heading and load, and the effectiveness of the model is verified by simulation tests. In the model simulation part, this paper constructs a simulation environment based on real ship operation data. The experimental results show that the energy efficiency of ships using this energy-saving technology is significantly improved, and the fuel consumption is reduced by more than 10%, which has good practical application prospects. This study also conducted precise data analysis on the simulation results, demonstrated the adaptability and robustness of the algorithm under different sea conditions, and further proved the application potential of the ship energy saving optimization model based on Internet of Things technology in ship energy efficiency management.