Design of redundancy monitoring system for submarine observation network

In order to solve the problem that the working environment of the seabed is complicated and the submarine scientific instruments are prone to failure, a redundant monitoring system of the submarine observation network based on the underwater connection box is designed. The system mainly includes three parts: shore-based monitoring center, underwater connection box and detection sensor. The system takes the underwater connection box as the information processing end, the PC in the monitoring center as the information display end, and the detection sensor as the information acquisition end. The experimental data show that the system can be used for long-term and stable seabed real-time monitoring.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icdm63232.2024.10762705
Citations
1
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.35
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article

Design of redundancy monitoring system for submarine observation network

Jin Chen, X. K. Wei
1 citations
Advanced Computational Techniques and Applications
0.35
article

Design of redundancy monitoring system for submarine observation network

Jin Chen, X. K. Wei
article en
1 citations

Abstract

In order to solve the problem that the working environment of the seabed is complicated and the submarine scientific instruments are prone to failure, a redundant monitoring system of the submarine observation network based on the underwater connection box is designed. The system mainly includes three parts: shore-based monitoring center, underwater connection box and detection sensor. The system takes the underwater connection box as the information processing end, the PC in the monitoring center as the information display end, and the detection sensor as the information acquisition end. The experimental data show that the system can be used for long-term and stable seabed real-time monitoring.

Naval University of Engineering (CN)
Openalex Percentile: Top 31%
Advanced Computational Techniques and Applications
0.35
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Design of redundancy monitoring system for submarine observation network — Jin Chen, X. K. Wei · (2024) | TGRS Research Map | TGRS