基于高光谱成像技术的水质监测系统设计  

Design of water quality monitoring system based on hyperspectral imaging technology

作　　者：杨英[1] 李浩然 吴伟平[1] 马骁 YANG Ying;LI Haoran;WU Weiping;MA Xiao(Guangdong Transportation Vocational and Technical College,Guangzhou 510080,Guangdong)

机构地区：[1]广东交通职业技术学院,广东广州510080

出　　处：《长江信息通信》2023年第3期129-132,共4页Changjiang Information & Communications

基　　金：广东省科技创新战略专项资金(“攀登计划”专项资金)重点项目-“智慧水务‘黄金眼’”(编号:pdjh2021a0775)。

摘　　要：对传统水质监测系统进行改造,利用高光谱成像技术与物联网技术结合,设计了一款基于高光谱成像技术的水质监测系统,用非接触方式完成对某一水域实时的水质监测,上位机软件设计完成了水质数据的实时显示,同时用深度学习算法设计了水质参数变化的预测模型,该模型可根据水质参数的变化预测未来水质变化趋势、提供水质预警等功能。The traditional water quality monitoring system was reformed.A water quality monitoring system based on hyperspectral imaging technology was designed by combining hyperspectral imaging technology with the Internet of Things technology.The real-time water quality monitoring of a certain water area was completed in a non-contact way.The upper computer software designed the real-time display of water quality data.At the same time,the prediction model of water quality parameter changes was designed using depth learning algorithm,The model can predict the future trend of water quality according to the change of water quality parameters and provide water quality early warning functions.

关 键 词：高光谱成像 水质监测 边缘计算 深度学习算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]