Technology Review of Cabled Ocean Observatories
Abstract
:1. Introduction
2. State-of-the-Art Research and Development
2.1. Network Structure
2.1.1. Line Networks
2.1.2. Ring Networks
2.1.3. Star Networks
2.1.4. Grid Networks
2.2. Power Supply Modes
2.2.1. DC Constant Current
2.2.2. DC Constant Voltage
2.2.3. AC Power Supply
2.3. Communication Capacity
3. Insights and Proposals
3.1. Backbone Network
3.1.1. Using a Grid Network
3.1.2. Optimizing the Routing Design
3.1.3. Using Telecom Cables
3.2. Power Supply
3.2.1. Standardization of Critical Equipment
3.2.2. Using Dual-Conductor Submarine Cables
3.3. Communication Capacity
3.3.1. Upgrade the Communication Capacity Gradually
3.3.2. Using OADM or ROADM Technology
4. Summary and Outlook
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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No. | Name | Country/Region | Year | Length of Backbone Cable | Network Speed | Power Mode | Max Power | Max Voltage | Max Current | Max Depth | Number of Nodes | Number of Repeaters | Number of Branches |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | A Long-Term Oligotrophic Habitat Assessment (ALOHA) [5,41,42] | US | 2007 | 20 km | 100 Mb/s | CC | 1.2 kW | 1 kV | 1.6 A | 4728 m | 1 | 0 | 0 |
2 | Dense Ocean Floor Network system for Earthquakes and Tsunamis (DONET) [43] | Japan | 2011 | 320 km | CC | 3.3 kW | 3 kV | 1.1 A | 4400 m | 5 | 5 | 5 | |
3 | DONET2 [44,45] | Japan | 2016 | 450 km | CC | 5.5 kW | 5 kV | 1.1 A | 7 | 8 | 7 | ||
4 | Long-term Ecosystem Observatory (LEO-15) [46,47,48] | US | 1996 | 9.6 km | CV | 8 kW | 15 m | 2 | 0 | 0 | |||
5 | Marine Cable Hosted Observatory (MACHO) [49] | Chinese Taiwan | 2011 | 45 km | 622 Mb/s | CV | 0.44 kV | 300 m | 1 | 0 | 1 | ||
6 | Monterey Accelerated Research System (MARS) [50] | US | 2007 | 52 km | 1 Gb/s | CV | 10 kW | 10 kV | 1 A | 891 m | 1 | 0 | 0 |
7 | Martha’s Vineyard Coastal Observatory (MVCO) [36,51,52] | US | 2000 | 4.5 km | 1 Gb/s | AC | 4 kW | 1.5 kV | 15 m | 2 | 0 | 0 | |
8 | North-East Pacific Time series Undersea Networked Experiments (NEPTUNE) [15,16,53] | Canada | 2009 | 800 km | 10 Gb/s | CV | 60 kW | 10 kV | 8 A | 2660 m | 5 | 7 | 6 |
9 | Ocean Observatories Initiative (OOI) [54,55,56] | US | 2016 | 900 km | 10 Gb/s | CV | 8 × 7 kW | 10 kV | 2900 m | 7 | 8 | 0 | |
10 | Seafloor Observation Network for Earthquakes and Tsunamis (S-NET) [57,58,59,60] | Japan | 2016 | 5500 km | CC | 6 kW | 1.1 A | 7800 m | 150 | 0 | |||
11 | The Hawaii-2 Observatory (H2O) [2,61,62] | US | 1998 | 256 Kb/s | CC | 0.4 kW | 3.3 kV | 0.37 A | 4979 m | 1 | 0 | 0 | |
12 | Victoria Experimental Network Under the Sea (VENUS) [63,64,65,66,67] | Canada | 2006 | 4 + 40 km | 1 Gb/s | CV | 3 kW | 0.4 kV/1.2 kV | 100 m/300 m | 1 + 2 | 0 | 0 |
No. | Challenges | Future Directions |
---|---|---|
1 | Long-term maintenance | Establish an effective prognostics and health management system that can alert users of system threats quickly, locate faults accurately, and repair them quickly. |
2 | System extension | Overcome issues, such as system scalability, network reconfigurability, interface universality, and system compatibility. |
3 | Interconnection of different systems | Establish common protocols, data standards, and interfaces. |
4 | Expanding the observation range | Establish a distributed and interactive observation network; integrate observation stations, nodes, satellites, and buoys through universal data standards. |
5 | Large-scale network monitoring | Establish a digital twin platform for online analytical methods to monitor the operational status of power and communication systems in COOs. |
6 | Emergency solutions for faults | Use marine energy and energy storage to react to sudden failures temporarily. |
7 | Data sharing | For common data, a unified data format, data standard, and transmission mode should be considered; for personalized data, data demand planning should be performed, and different types of data should be handled by relevant departments. |
8 | Deep data processing | Use artificial intelligence to explore marine data deeply to reveal the mechanisms of marine phenomena. |
9 | International cooperation | Establish a framework with good compatibility. The management and maintenance of sites should also be more flexible. |
10 | Standardization | Draft relevant standards for applications involving marine observation, the internet of things, big data, artificial intelligence technology, etc., in COOs. |
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Shu, C.; Lyu, F.; Xu, R.; Wang, X.; Wei, W. Technology Review of Cabled Ocean Observatories. J. Mar. Sci. Eng. 2023, 11, 2074. https://0-doi-org.brum.beds.ac.uk/10.3390/jmse11112074
Shu C, Lyu F, Xu R, Wang X, Wei W. Technology Review of Cabled Ocean Observatories. Journal of Marine Science and Engineering. 2023; 11(11):2074. https://0-doi-org.brum.beds.ac.uk/10.3390/jmse11112074
Chicago/Turabian StyleShu, Chang, Feng Lyu, Rendong Xu, Xichen Wang, and Wei Wei. 2023. "Technology Review of Cabled Ocean Observatories" Journal of Marine Science and Engineering 11, no. 11: 2074. https://0-doi-org.brum.beds.ac.uk/10.3390/jmse11112074