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A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders
Xu ZZ(许真珍)1; Li, Lu1; Yu JC(俞建成)2; Xu XJ(徐秀娟)1; Jia, Mingfei1
Department海洋机器人卓越创新中心
Source PublicationChina Ocean Engineering
ISSN0890-5487
2019
Volume33Issue:2Pages:172-184
Indexed BySCI ; EI
EI Accession number20191806862502
WOS IDWOS:000465934800005
Contribution Rank2
Funding OrganizationNational Natural Science Foundation of China (Grant Nos. U1709202 and No. 61502069) ; Foundation of State Key Laboratory of Robotics (Grant No. 2015-o03) ; Fundamental Research Funds for the Central Universities (Grant Nos. DUT18JC39 and DUT17JC45)
Keywordbig marine data early warning marine environment underwater gliders
AbstractThis study analyzes and summarizes seven main characteristics of the marine data sampled by multiple underwater gliders. These characteristics such as the big data volume and data sparseness make it extremely difficult to do some meaningful applications like early warning of marine environment. In order to make full use of the sea trial data, this paper gives the definition of two types of marine data cube which can integrate the big marine data sampled by multiple underwater gliders along saw-tooth paths, and proposes a data fitting algorithm based on time extraction and space compression (DFTS) to construct the temperature and conductivity data cubes. This research also presents an early warning algorithm based on data cube (EWDC) to realize the early warning of a new sampled data file. Experiments results show that the proposed methods are reasonable and effective. Our work is the first study to do some realistic applications on the data sampled by multiple underwater vehicles, and it provides a research framework for processing and analyzing the big marine data oriented to the applications of underwater gliders.
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24673
Collection海洋机器人卓越创新中心
Corresponding AuthorYu JC(俞建成)
Affiliation1.School of Software Technology, Dalian University of Technology, Dalian 116620, China
2.The State Key laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang 110016, China
Recommended Citation
GB/T 7714
Xu ZZ,Li, Lu,Yu JC,et al. A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders[J]. China Ocean Engineering,2019,33(2):172-184.
APA Xu ZZ,Li, Lu,Yu JC,Xu XJ,&Jia, Mingfei.(2019).A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders.China Ocean Engineering,33(2),172-184.
MLA Xu ZZ,et al."A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders".China Ocean Engineering 33.2(2019):172-184.
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