Exploration of Health Management in Ship Main Power Plant

Authors

  • Xianzhang Jia
  • Xinyuan An
  • Baozhu Jia
  • Cheng Peng
  • Tianqi Liang

DOI:

https://doi.org/10.54097/hset.v13i.1353

Keywords:

metauniverse; digital twin; virtual simulation; health management.

Abstract

With the change of market environment, consumer demands are diversified, complex and comprehensive, this paper introduces the new concept, architecture and core technology, predicts the industry capability and demand in the main power device industry, and integrates it with digital twin, cloud service and 5G network. This paper expounds the diagnosis and prediction of ship faults in the meta-universe, constructs a meta-learning model of health management based on detection data, integrates the multi-source data information of ships, and then emphasizes the importance of meta-universe application in the health management of the ship main power device, so as to promote the digitalization of the ship industry.

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References

Jianjun Zhang. An instance matching algorithm based on instance matching [J].Journal of Internet Semanantics, 2013, p. 49-60.

Zhiqiang Zhang. An ontology alignment-based measure [j]. International Semantic Web Conference. Springer, Berlin, Heidelberg, 2005, p. 78-81.

Hong Zhu, Xin Xue, An Geng, et al. Sensor ontology matching based on a simulated annealing particle swarm algorithm [J]. Mobile Information System, 2021, p. 1-11.

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Published

21-08-2022