TIANJIN SCIENCE & TECHNOLOGY ›› 2023, Vol. 50 ›› Issue (3): 43-46.
• Basic Research • Previous Articles Next Articles
SI Yuanyuan, ZHOU Yi, SUN Bing, LI Meng, MENG Xuehao
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Abstract: Under the background of artificial intelligence,big data,and the Internet of Things,the application research of digitalization in ship management has become the focus and development trend of the LNG ship industry. Through the research of ship digital operation technology and the establishment of intelligent management platform,the ship operation management mode is optimized to provide digital operation services throughout the life cycle. Taking the HYSY 301 as the target ship,the fault diagnosis and prediction of LNG ship equipment are carried out through the development of digital three-dimensional model,dynamic evolution simulation technology of complex navigation scenarios,visual operation management and other technologies.
Key words: digital twin, fault diagnosis, prediction
CLC Number:
TP277
SI Yuanyuan, ZHOU Yi, SUN Bing, LI Meng, MENG Xuehao. Fault Diagnosis and Prediction of LNG Ship Equipment Based on Digital Twin Technology[J]. TIANJIN SCIENCE & TECHNOLOGY, 2023, 50(3): 43-46.
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http://tougao.tisti.ac.cn/EN/Y2023/V50/I3/43