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  5. Water‐Wave Driven Route Avoidance Warning System for Wireless Ocean Navigation

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Article
en
2021

Water‐Wave Driven Route Avoidance Warning System for Wireless Ocean Navigation

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en
2021
Vol 11 (31)
Vol. 11
DOI: 10.1002/aenm.202101116

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Zewei Ren
Xi Liang
Di Liu
+4 more

Abstract

Abstract The internet of things in the context of the ocean is vitally important. For ships sailing on the wide ocean in adverse weather conditions, evasion of marine islands and reefs is crucial to ensure safe navigation. Here, a hybrid wave energy harvesting nanogenerator is proposed (HW‐NG) as a power source for long‐distance wireless transmission, and demonstrated a self‐powered route avoidance warning system for ocean navigation. The HW‐NG is developed based on a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG), integrated by a pendulum structure. The TENG based on a contact‐separation mode is designed into a spring‐assisted multilayered structure, in which the EMG unit is well hybridized. Simply relying on the energy extracted from water waves, the HW‐NG can establish long‐distance (1.5 km) communication nodes on the sea. In application, a large HW‐NG network could be developed in the adjacent water areas of islands or reefs. With a network formed by hundreds of thousands of HW‐NGs, the forewarning signal transmission could be realized per second on the sea. More importantly, the wireless emitting is spontaneous through the designed automatic switch module. This work demonstrates a practicable strategy for ensuring safety of sea transportation based on wave energy collection.

How to cite this publication

Zewei Ren, Xi Liang, Di Liu, Xunjia Li, Jianfeng Ping, Ziming Wang, Zhong Lin Wang (2021). Water‐Wave Driven Route Avoidance Warning System for Wireless Ocean Navigation. , 11(31), DOI: https://doi.org/10.1002/aenm.202101116.

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Publication Details

Type

Article

Year

2021

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/aenm.202101116

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