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A Data Management Method for Remote and Long-Term Seafloor Observation System
Wang, Huacan1,2; Yang, Wencai1; Xin, Yongzhi1; Zhang, Shaowei1
2020-01-02
Source PublicationMARINE GEODESY
ISSN0149-0419
Volume43Issue:1Pages:1-22
AbstractThe deep seafloor is closest to the Earth's interior and there are complicated interactions in the physical and biological processes of the seafloor. Oceanographic parameters such as temperature, salinity, and ocean current can provide support for climate prediction. Therefore, the long-term observation of the deep seafloor is critical to the study of global climate change and the biodiversity in complex environments. For the requirements of long-term observation and remote data transmission in the deep sea of the South China Sea, a seafloor observation prototype system is designed in this paper as a stand-alone observation platform. We then proposed a date management method based on Controller Area Network to ensure the data quality. Distributed data management can be performed through system layering, and strict data transmission standards are established between each layer. At the same time, aiming at the difficulty of seafloor video data transmission in real-time, a new solution based on satellite communication technology, object detection technology, and high-efficiency compression coding technology of video images is proposed to provide support for seafloor biodiversity research. The observation data from the experiment are given, and these results show that the system can meet the requirements of long-term observation and remote real-time data transmission, and the reliability of the system is verified.
KeywordImage compression junction box satellite communication seafloor observation
DOI10.1080/01490419.2019.1673265
Indexed BySCI ; SCI
Funding OrganizationNatural Science Foundation of China NSFC ; National Key Research and Development Plan of China ; China Strategic Priority Research Program of the Chinese Academy of Sciences ; Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences
Language英语
Funding ProjectNatural Science Foundation of China NSFC[51809255] ; National Key Research and Development Plan of China[2018YFC0307906] ; China Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030301] ; Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences
WOS KeywordBARKLEY CANYON ; DEEP-SEA ; CLASSIFICATION ; CHALLENGES ; BEHAVIOR ; RHYTHMS
WOS Research AreaGeochemistry & Geophysics ; Oceanography ; Remote Sensing
WOS SubjectGeochemistry & Geophysics ; Oceanography ; Remote Sensing
WOS IDWOS:000493422500001
PublisherTAYLOR & FRANCIS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.idsse.ac.cn/handle/183446/7427
Collection研究生部
深海工程技术部_深海探测技术研究室
Corresponding AuthorZhang, Shaowei
Affiliation1.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Hainan, Peoples R China
2.Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing, Peoples R China
First Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Corresponding Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Recommended Citation
GB/T 7714
Wang, Huacan,Yang, Wencai,Xin, Yongzhi,et al. A Data Management Method for Remote and Long-Term Seafloor Observation System[J]. MARINE GEODESY,2020,43(1):1-22.
APA Wang, Huacan,Yang, Wencai,Xin, Yongzhi,&Zhang, Shaowei.(2020).A Data Management Method for Remote and Long-Term Seafloor Observation System.MARINE GEODESY,43(1),1-22.
MLA Wang, Huacan,et al."A Data Management Method for Remote and Long-Term Seafloor Observation System".MARINE GEODESY 43.1(2020):1-22.
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