摘要
针对渔港水域水质实时监测预警问题,拟设计一款适用于渔港水域的由浮筒端和岸基端组成的水质在线监测系统。浮筒端选取STM32主控,将传感器集成在扩展板中,分别对pH酸碱度、导电率、溶解氧、水温、水位计和ORP等数据采集。通过RS485将传感器检测数据传输至主控,由主控对数据进行处理,最后由RS485通信模块将信号传输至岸基端。岸基端基于QT制作的显示界面实现显示传回的数据及预警信息,系统工作稳定、可靠,可直观实时显示测量参数数值。该系统具有较强的人机交互功能,可以提升监管部门获得污染信息的速度,助力水质监管。
Aiming at the problem of real-time monitoring and early warning of water quality in fishing port,a water quality online monitoring system composed of buoy end and shore-based end is proposed to be designed for fishing port.The buoy end selects the STM32 master control,and the sensors are integrated in the expansion board to collect the data of pH,conductivity,dissolved oxygen,water temperature,water level meter and ORP respectively.The sensor detection data is transmitted to the master control through RS485,the master control processes the data,and finally the RS485 communication module transmits the signal to the shore-based end.The display interface based on QT at the shore-based end realizes the display of the returned data and early warning information.The system works stably and reliably,and can intuitively display the values of the measured parameters in real time.The system has a strong human-computer interaction function,which can improve the speed of the supervisory department to obtain the pollution information and help the water quality supervision.
作者
王志远
何文波
张峰
刘兴龙
WANG Zhiyuan;HE Wenbo;ZHANG Feng;LIU Xinglong(Fujian Provincial Engineering Research Center of Safety Control for Ship Intelligent Navigation,Fuzhou 350108,China;Fujian Provincial University Engineering Research Center of Marine Intelligent Ship Equipment,Fuzhou 350108,China;College of Physics and Electronic Information Engineering,Minjiang University,Fuzhou 350108,China;College of Photonic and Electronic Engineering,Fujian Normal University,Fuzhou 350117,China)
出处
《现代信息科技》
2024年第3期186-190,共5页
Modern Information Technology
基金
福州市科技计划项目(2021-SG272,2021-S-236)
福州市科技重大项目(2022-ZD-021)
福建省自然科学基金面上项目(2020J01860,2021J011028,2023J011573)
福建省海洋经济发展专项(FJHJF-L-2022-17)
福建省科技创新重点项目(2022G02027)
福建省重大专项专题项目(2022NZ033023)。
