E3S Web Conf.
Volume 356, 2022The 16th ROOMVENT Conference (ROOMVENT 2022)
|Number of page(s)||6|
|Section||Underground Environment and Specialized Application|
|Published online||31 August 2022|
Construction and research on the navigation condition of oil supply vessels
1 School of Mechanical and Energy Engineering, Tongji University, Shanghai 201804, China.
2 School of Automotive Studies, Tongji University, Shanghai 201804, China.
3 College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
* Corresponding author: email@example.com
Constructing navigation condition of oil supply vessels is of vital importance to both the research on the main engine and the safety of navigation. This paper carries out in-depth research and analysis based on the half-year shipping data derived from Hai Gong You 31, the oil supply vessel of Shanghai Chimbusco Marine Bunker Co., Ltd. After classifying 3946 pieces of shipping data, and there are 119 valid sequences. As for 13 characteristic parameters ,which include time, distance, average acceleration ,etc., they are eigenvalues of kinematics sequences ,and there are principal component analysis and contribution rate analysis relevant to them. Instead of original eigenvalues, three principal components whose contribution ratios are the highest and the accumulative one is around 85% are selected to be analyzed then. By means of between-groups linkage, this paper calculates the distance among clusters ,and the nearest two clusters are regarded as a new cluster. Afterward, calculations and combinations are made over and over till there is only one cluster. Eventually, the navigation condition of oil supply vessels is successfully formed, that is the one with a total length of 9240s.
Key words: oil supply vessels / the construction of working condition / sequence analysis / eigenvalue analysis / principal component analysis / cluster analysis
© The Authors, published by EDP Sciences, 2022
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