Research on optimal layout of large ship attitude reference based on genetic algorithm

ZhaoQiang Gao; XinDe Li; JiaZhou He

doi:10.1117/12.2628531

7 March 2022 Research on optimal layout of large ship attitude reference based on genetic algorithm

ZhaoQiang Gao, XinDe Li, JiaZhou He

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121672P (2022) https://doi.org/10.1117/12.2628531
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Large ships have a large deck area, many on-board equipment and devices require attitude information. if every device that requires attitude information is equipped with an attitude reference, Firstly, it will cause a waste of resources. Secondly, due to the influence of the deformation of large ships, the attitude reference of each device will be inconsistent, and then the collaborative work of large ships will be affected. Based on the attitude transfer theory, this paper uses genetic algorithm to optimize the layout of the attitude benchmarks of large ships according to the requirements of the shipboard equipment for attitude information. Simulation calculations show that this method can effectively reduce the number of benchmark layouts.

Citation Download Citation

ZhaoQiang Gao, XinDe Li, and JiaZhou He "Research on optimal layout of large ship attitude reference based on genetic algorithm", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121672P (7 March 2022); https://doi.org/10.1117/12.2628531

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