Design of Monitoring System for Water Quality Parameters of Deep Water Cage Culture Based on Sensor Network

In order to alleviate the problems such as the decline in marine biological quality and economic benefits, as well as environmental pollution in nearshore sea areas caused by the high density of offshore cage aquaculture, deep-water cage aquaculture has been developed vigorously. Aiming at the low degree of automation and the special nature of the aquaculture environment in deep-water cage aquaculture, this paper proposes a remote monitoring scheme for water quality parameters in deep-water cage aquaculture based on wireless sensor networks and GPRS networks, and designs the system in terms of software and hardware. After testing, the system not only has low power consumption, low cost, strong stability and high accuracy, but also has scalability, which can provide a basis for the intelligent control of deep-water cage aquaculture.

Authors

Institutions

Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1145/3746709.3746866
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of Monitoring System for Water Quality Parameters of Deep Water Cage Culture Based on Sensor Network

Tianyi Gao, Yuan Liu, Nianrong Wang
Water Quality Monitoring Technologies
article

Design of Monitoring System for Water Quality Parameters of Deep Water Cage Culture Based on Sensor Network

Tianyi Gao, Yuan Liu, Nianrong Wang
article en

Abstract

In order to alleviate the problems such as the decline in marine biological quality and economic benefits, as well as environmental pollution in nearshore sea areas caused by the high density of offshore cage aquaculture, deep-water cage aquaculture has been developed vigorously. Aiming at the low degree of automation and the special nature of the aquaculture environment in deep-water cage aquaculture, this paper proposes a remote monitoring scheme for water quality parameters in deep-water cage aquaculture based on wireless sensor networks and GPRS networks, and designs the system in terms of software and hardware. After testing, the system not only has low power consumption, low cost, strong stability and high accuracy, but also has scalability, which can provide a basis for the intelligent control of deep-water cage aquaculture.

Wuhan University of Technology (CN), Wuhan College (CN), Wuhan Donghu University (CN), Hubei University of Technology (CN)
Wuhan University, Wuhan University of Technology, Guangdong Ocean University
Clean water and sanitation
Openalex Percentile: Top 78%
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.