Cable laying ROV for Real-time seafloor observatory network construction

2009 ◽  
Author(s):  
Katsuyoshi Kawaguchi ◽  
Sho Kaneko ◽  
Takato Nishida ◽  
Tetsuya Komine
Keyword(s):  
Real Time ◽  
Network Construction ◽  
Cable Laying ◽  
Seafloor Observatory ◽  
Seafloor Observatory Network

The Reliability Design and Analysis of Series Constant Current Remote Power Feeding System of Seafloor Observatory Network

2013 ◽  
Vol 850-851 ◽  
pp. 346-349
Author(s):  
Xi Chen Wang ◽  
Xue Jun Zhou ◽  
Yang Zhang
Keyword(s):  
Constant Current ◽  
Series System ◽  
Reference Solution ◽  
Feeding System ◽  
Allocation Scheme ◽  
Network Construction ◽  
Reliability Design ◽  
Total Cost ◽  
Seafloor Observatory ◽  
Seafloor Observatory Network

The paper makes a deep analysis of the series constant current remote power feeding system which is used in seafloor observatory network. The reliability design and allocation scheme used to minimize the total cost of the system in certain condition is accomplished, and the nodes power feeding reliabilities are calculated. The analysis shows that series system can provide a reference solution for seafloor observatory network construction in our country.

scholarly journals A Sensor Web Prototype for Cabled Seafloor Observatories in the East China Sea

2019 ◽  
Vol 7 (11) ◽  
pp. 414 ◽  
Author(s):  
Yang Yu ◽  
Huiping Xu ◽  
Changwei Xu
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Data Transmission ◽  
East China ◽  
The East China Sea ◽  
Plug And Play ◽  
China Sea ◽  
Sensor Web ◽  
Sensor Control ◽  
Seafloor Observatory

Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data acquisition, data transmission, data analysis, and user-oriented data application is vital to the close-loop operations of seafloor observatories. In this paper, we design and implement a sensor web prototype (ESOSW) to resolve seafloor observatory information processing in a plug-and-play way. A sensor web architecture is first introduced, which is information-oriented and structured into four layers enabling bidirectional information flow of observation data and control commands. Based on the layered architecture, the GOE Control Method and the Hot Swapping Interpretation Method are proposed as the plug-and-play mechanism for sensor control and data processing of seafloor observatory networks. ESOSW was thus implemented with the remote-control system, the data management system, and the real-time monitoring system, supporting managed sensor control and on-demand measurement. ESOSW was tested for plug-and-play enablement through a series of trials and was put into service for the East China Sea Seafloor Observation System. The experiment shows that the sensor web prototype design and implementation are feasible and could be a general reference to related seafloor observatory networks.

IEEE 1588 based time synchronization system for a seafloor observatory network

2013 ◽  
Vol 14 (10) ◽  
pp. 766-776 ◽  
Author(s):  
De-jun Li ◽  
Gang Wang ◽  
Can-jun Yang ◽  
Bo Jin ◽  
Yan-hu Chen
Keyword(s):  
Time Synchronization ◽  
Synchronization System ◽  
Ieee 1588 ◽  
Seafloor Observatory ◽  
Seafloor Observatory Network

Information Fusion of Seafloor Observatory Network Based on Kalman Filtering

2014 ◽  
Vol 701-702 ◽  
pp. 581-586
Author(s):  
Ying Jian Wang ◽  
Zhen Yu Wang ◽  
Xue Man Fan ◽  
Feng Yuan
Keyword(s):  
Kalman Filtering ◽  
Information Fusion ◽  
Structural Model ◽  
Monitoring And Control ◽  
Fusion Algorithm ◽  
Monitoring And Control System ◽  
Sensor Signals ◽  
And Control ◽  
Seafloor Observatory ◽  
Seafloor Observatory Network

The necessity and advantages of the multi-sensor’s application in information fusion is analyzed on the basis of that multi-sensor information fusion technology has been widely applied in the monitoring and control system of seafloor observatory network. and the structural model of fusion system based on the distributed filtering scheme is presented. Decentralized kalman filtering is proposed to solve the fusion structure model of the system, and the information fusion algorithm based on kalman filtering is discussed in depth. And the research findings of Kalman filtering in information fusion are tested with Mat lab. Simulation shows that system design can integrate the lowest layer of sensor signals quickly and accurately, giving helps for decision making.

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