Research on crash icebreaking pattern recognition of XUE LONG from GPS data

doi:10.13679/j.jdyj.2017.3.414

›› 2017, Vol. 29 ›› Issue (3): 414-419.DOI: 10.13679/j.jdyj.2017.3.414

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Research on crash icebreaking pattern recognition of XUE LONG from GPS data

Gui Dawei¹, Pang Xiaoping¹, Shen Quan², Wang Dali², Zhang Jie², Ai Songtao¹

Received:2016-04-19 Revised:2016-08-09 Online:2017-09-30 Published:2017-09-30
Contact: Song-Tao AI

Abstract

Abstract:

The XUE LONG is the only icebreaker currently deployed in Chinese polar research. The icebreaking
status is an important feature of vessels sailing in polar regions. Based on GPS data of the XUE LONG, we
designed an algorithm to recognize its crash icebreaking status. In the analysis of data obtained during the
entirety of the Chinese 28th Antarctic Expedition, the recognition rate was >86.1% and the accuracy of recognition
was >98.0%. Using the developed algorithm to analyze the data obtained during the Chinese 27th
Antarctic Expedition produced a recognition rate of 85.0%, and accuracy of recognition up to 93.5%. The
GPS data of these two voyages verified the applicability of the algorithm, and the differences between the
statistical results showed the different icebreaking states.

Key words: XUE LONG icebreaker, GPS, crash icebreaking, pattern recognition

Gui Dawei, Pang Xiaoping, Shen Quan, Wang Dali, Zhang Jie, Ai Songtao. Research on crash icebreaking pattern recognition of XUE LONG from GPS data[J]. , 2017, 29(3): 414-419.

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Research on crash icebreaking pattern recognition of XUE LONG from GPS data

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