Loading...
Please wait, while we are loading the content...
Similar Documents
Research on adaptive ship trim energy saving scheme based on intelligent loading
| Content Provider | Scilit |
|---|---|
| Author | Gao, Yibo |
| Copyright Year | 2021 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science The system is a set of control system based on ship trimming energy-saving designed through deep learning algorithm, particle swarm algorithm and data optimization. Through the deep learning algorithm, the collected data is deep learning, the result of intelligent learning is used as the objective function, and the particle swarm algorithm combined with the loading software is used to adjust the loading state, sail with a fixed inclination angle and collect this fixed inclination angle during the voyage. A certain range of nearby data is systematically revised to make the system more perfect. Finally, a universal method can be obtained, which can be applied to different types of ships, and the corresponding trim optimization suggestions will be given to the complicated factors encountered in the navigation process. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/634/1/012015/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/634/1/012015 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 634 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-02-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Marine Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
