Design of intelligent monitoring buoy system based on multi-parameter sensing

In order to improve the efficiency and accuracy of marine water quality monitoring, an intelligent monitoring system based on multi-parameter buoys was designed. Through the comprehensive design of software and hardware systems, the intelligent level of marine environmental monitoring is improved. The study covers real-time monitoring and data collection of key parameters such as surface salinity, chlorophyll concentration, wind speed, wind direction, temperature, profile flow rate, etc. The system framework consists of a hardware part (multi-parameter sensor and buoy design) and a software part (data acquisition and processing platform). At the same time, correlation and normalization algorithms are introduced for data processing and analysis to mine valuable information from marine water quality data. The experimental results show that the error of the system in the monitoring of salinity, chlorophyll concentration, temperature and other parameters is less than 5%, and the relative error of profile flow velocity monitoring is 3.2%, and the overall accuracy meets the needs of marine environmental monitoring. Finally, this study aims to provide an effective solution for marine water quality monitoring and promote the sustainable development of the marine environment.

Authors

Institutions

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3728199.3728256
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of intelligent monitoring buoy system based on multi-parameter sensing

Shanpeng Wei, ShengJie Gao, Luhao Zhao, Qi Li et al.
Water Quality Monitoring Technologies
article

Design of intelligent monitoring buoy system based on multi-parameter sensing

Shanpeng Wei, ShengJie Gao, Luhao Zhao, Qi Li, Haifeng Wang, Min Lü
article en

Abstract

In order to improve the efficiency and accuracy of marine water quality monitoring, an intelligent monitoring system based on multi-parameter buoys was designed. Through the comprehensive design of software and hardware systems, the intelligent level of marine environmental monitoring is improved. The study covers real-time monitoring and data collection of key parameters such as surface salinity, chlorophyll concentration, wind speed, wind direction, temperature, profile flow rate, etc. The system framework consists of a hardware part (multi-parameter sensor and buoy design) and a software part (data acquisition and processing platform). At the same time, correlation and normalization algorithms are introduced for data processing and analysis to mine valuable information from marine water quality data. The experimental results show that the error of the system in the monitoring of salinity, chlorophyll concentration, temperature and other parameters is less than 5%, and the relative error of profile flow velocity monitoring is 3.2%, and the overall accuracy meets the needs of marine environmental monitoring. Finally, this study aims to provide an effective solution for marine water quality monitoring and promote the sustainable development of the marine environment.

Nanjing Tech University (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.