福建电脑2024，Vol.40Issue(6)：82-86,5.DOI:10.16707/j.cnki.fjpc.2024.06.015
近红外光谱污水COD分析系统设计
Design of Near Infrared Spectroscopy Wastewater COD Analysis System
摘要
Abstract
In order to solve the problems of overfitting of sample dataset parameters,large interference factors,and non intuitive detection interface in the determination of chemical oxygen demand in wastewater using near-infrared spectroscopy technology,this paper adopts one-dimensional convolutional neural network technology to establish a relationship model between near-infrared characteristics of water samples and pollution indicator component content,and designs an analysis interface using MATLAB graphical user interface.The experimental results show that the method has good prediction results and can achieve rapid qualitative and quantitative detection of water pollution.关键词
污水/近红外光谱/化学需氧量预测Key words
Sewage/Near Infrared Spectroscopy/Chemical Oxygen Demand Prediction分类
化学化工引用本文复制引用
李阳,侯长宁,范日高..近红外光谱污水COD分析系统设计[J].福建电脑,2024,40(6):82-86,5.基金项目
本文得到福建省中青年教师教育科研项目(No.JAT220516)、福建省自然科学基金项目(No.2021J01636)资助. （No.JAT220516）
