Main engine power estimation method for the inland ship based on big data

  • ZHOU Chun-hui ,
  • HUANG Hong-xun ,
  • ZHOU Ling ,
  • SUI Zhong-yi ,
  • WEN Yuan-qiao ,
  • XIAO Chang-shi
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  • (a.School of Navigation; b.Hubei Inland Shipping Technology Key Laboratory; c.National Engineering Research Center for Water Transport Safety; d.Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China )

Received date: 2018-09-27

  Revised date: 2018-11-03

  Online published: 2018-11-03

Abstract

In view of the estimation problem of the main engine power in current ship emission calculation, the optimal function of main engine power of different ship types for ship main dimensions was obtained by using data fitting method based on the relevant information of AIS database and Yangtze River ship registration database, and the estimation model of marine main engine was established and verified. The experimental results show that the error between the estimated value and the actual value of the ship main engine power estimation model established by the proposed method is within ±10%, which has high reliability.

Cite this article

ZHOU Chun-hui , HUANG Hong-xun , ZHOU Ling , SUI Zhong-yi , WEN Yuan-qiao , XIAO Chang-shi . Main engine power estimation method for the inland ship based on big data[J]. Journal of Dalian Maritime University, 2019 , 45(2) : 44 -49 . DOI: 10.16411/j.cnki.issn1006-7736.2019.02.006

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