Work

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

Year: 2025

Type: conference-paper

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.

Source: International Conference on Computer Information and Big Data Applications (CIBDA)

DOI: 10.1145/3746709.3746866

Authors: Nianrong Wang, Yuan Liu, Tianyi Gao

Institution: Wuhan University of Technology

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life below water, Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Wuhan University, Wuhan University of Technology, Guangdong Ocean University