中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System

文献类型:期刊论文

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作者Luo, Peng1,2; Song, Yuanjie1; Xu, Xiaoyang1; Wang, Chen1; Zhang, Shaowei1; Shu, Yeqiang3; Ma, Yonggui4; Shen, Chong5; Tian, Chuan1
刊名JOURNAL OF MARINE SCIENCE AND ENGINEERING ; JOURNAL OF MARINE SCIENCE AND ENGINEERING
出版日期2022-10-01 ; 2022-10-01
卷号10期号:10页码:16
关键词real-time communication real-time communication satellite communication buoy hydrodynamic analysis data recovery strategy satellite communication buoy hydrodynamic analysis data recovery strategy
DOI10.3390/jmse10101491 ; 10.3390/jmse10101491
通讯作者Shen, Chong ; Shen, Chong ; Tian, Chuan ; Tian, Chuan
目次是 ; 是
英文摘要

Marine submerged buoys can effectively obtain various parameters of seawater, which plays an important role in the research of marine physical phenomena, marine environmental changes, and climate change. However, traditional self-contained submerged buoys usually work underwater at a depth of about 100 m, and the observation data cannot be obtained before their recovery, which cannot satisfy the needs of real-time data acquisition for marine scientific research. To solve this problem, this paper proposes a real-time communication subsurface mooring system that consists of a satellite communication buoy (SCB), conductivity-temperature-depth sensors (CTD), and an inductive coupling mooring cable. The underwater inductive coupling link collects the data from the underwater sensors and transmit it to the SCB. Then, the data will be transmitted to the station receiver via satellite communication module integrated into the SCB. In order to ensure a high success rate of data recovery, the stress analysis and hydrodynamic simulation of the SCB were carried out in this paper. The results show that the SCB maintained a relatively stable attitude in the 3-4 sea state. The attitude data obtained from the subsequent sea trial was consistent with the simulation results, and the success rate of satellite communication during this period was more than 95%. In this paper, a modular embedded hardware circuit was designed to meet the functional requirements of the subsurface mooring system. An efficient data recovery strategy was also developed, which ensured that the average power consumption of the system was low and the success rate of data recovery is not less than 90% when operating in the severe sea state for a long time. The system underwent sea trials in the South China Sea for more than 3 months from the end of 2021 to the beginning of 2022. It transmitted more than 2034 sets of seawater profile temperature, salinity, and depth data in real-time, with a success rate of over 91% of the total sample data. The CTD data returned in real-time from our system is consistent with the data of the HYCOM and World Ocean Atlas (WOA), and a cyclonic mesoscale eddy was detected in the operation area.

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Marine submerged buoys can effectively obtain various parameters of seawater, which plays an important role in the research of marine physical phenomena, marine environmental changes, and climate change. However, traditional self-contained submerged buoys usually work underwater at a depth of about 100 m, and the observation data cannot be obtained before their recovery, which cannot satisfy the needs of real-time data acquisition for marine scientific research. To solve this problem, this paper proposes a real-time communication subsurface mooring system that consists of a satellite communication buoy (SCB), conductivity-temperature-depth sensors (CTD), and an inductive coupling mooring cable. The underwater inductive coupling link collects the data from the underwater sensors and transmit it to the SCB. Then, the data will be transmitted to the station receiver via satellite communication module integrated into the SCB. In order to ensure a high success rate of data recovery, the stress analysis and hydrodynamic simulation of the SCB were carried out in this paper. The results show that the SCB maintained a relatively stable attitude in the 3-4 sea state. The attitude data obtained from the subsequent sea trial was consistent with the simulation results, and the success rate of satellite communication during this period was more than 95%. In this paper, a modular embedded hardware circuit was designed to meet the functional requirements of the subsurface mooring system. An efficient data recovery strategy was also developed, which ensured that the average power consumption of the system was low and the success rate of data recovery is not less than 90% when operating in the severe sea state for a long time. The system underwent sea trials in the South China Sea for more than 3 months from the end of 2021 to the beginning of 2022. It transmitted more than 2034 sets of seawater profile temperature, salinity, and depth data in real-time, with a success rate of over 91% of the total sample data. The CTD data returned in real-time from our system is consistent with the data of the HYCOM and World Ocean Atlas (WOA), and a cyclonic mesoscale eddy was detected in the operation area.

WOS关键词BUOY SYSTEM ; BUOY SYSTEM ; DESIGN ; DESIGN
资助项目Major Scientific and Technological Projects of Hainan Province[ZDKJ202016] ; Major Scientific and Technological Projects of Hainan Province[ZDKJ202016]
WOS研究方向Engineering ; Engineering ; Oceanography ; Oceanography
语种英语 ; 英语
WOS记录号WOS:000873014000001 ; WOS:000873014000001
出版者MDPI ; MDPI
资助机构Major Scientific and Technological Projects of Hainan Province ; Major Scientific and Technological Projects of Hainan Province
源URL[http://ir.idsse.ac.cn/handle/183446/9789]  
专题研究生部
深海工程技术部_工程实验室
深海工程技术部_深海信息技术研究室
通讯作者Shen, Chong; Tian, Chuan
作者单位1.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572022, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, South China Sea Inst Oceanol, Guangzhou 510339, Peoples R China
4.SYSU, Sch Marine Sci, Zhuhai 519082, Peoples R China
5.Hainan Univ, State Key Lab Marine Resource Utilizat South Chin, Haikou 570228, Hainan, Peoples R China
推荐引用方式
GB/T 7714
Luo, Peng,Song, Yuanjie,Xu, Xiaoyang,et al. Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System, Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022, 2022,10, 10(10):16, 16.
APA Luo, Peng.,Song, Yuanjie.,Xu, Xiaoyang.,Wang, Chen.,Zhang, Shaowei.,...&Tian, Chuan.(2022).Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10(10),16.
MLA Luo, Peng,et al."Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10.10(2022):16.

入库方式: OAI收割

来源:深海科学与工程研究所

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