Multi-dimensional control model of interval AIS data-driven berthing process

doi:10.16265/j.cnki.issn1003-3033.2021.03.007

Abstract

Abstract: In order to improve berthing safety and docking intelligent berthing, attitude control in the process of ship docking was realized, through using some optimization strategies such as Chebyshev fitting method, 95% confidence interval method, least 2 method,two times fitting of above combination method and so on. Berthing control parameters, such as speed, heading, heading and ship position were fitted in the data of interval vessel AIS. A multi-dimensional attitude control model driven by interval AIS data was constructed, and reliability of model was tested by AIS data of a certain wheel berthing in Longtan Port, Nanjing for one year. The results show that model fitting method is superior to existing fitting method, and output results are in line with relevant rules, and proposed model meets requirements of ship attitude safety control during docking process.

Key words: interval, automatic identification system (AIS) data, berthing process, multi-dimensional control, Chebyshev fitting method

CLC Number:

X913.3

QIN Tingrong, LI Dongyang, LI Penghao, MA Guoliang, CHEN Weijiong. Multi-dimensional control model of interval AIS data-driven berthing process[J]. China Safety Science Journal, 2021, 31(3): 47-53.

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