量子电子学报2026，Vol.43Issue(2)：227-236,10.DOI:10.3969/j.issn.1007-5461.2026.02.006
水质化学需氧量高精度快速检测系统
High-precision rapid detection system for chemical oxygen demand in water
摘要
Abstract
Chemical oxygen demand(COD)is an important indicator for measuring water pollution,however,traditional chemical detection methods suffer from complicated operations,long durations,and secondary pollution.This paper presents a new COD measurement method based on a dual-light source sensor.The method involves preparing water samples in the laboratory,using dual ultraviolet light sources of 255 nm and 265 nm for water quality detection,and predicting COD values using a random forest(RF)regression model.Experimental results show that the coefficient of determination R2 of the test set for the RF regression model is 0.9910,and the root mean square error(ERMS)is only 0.0804,demonstrating the superior performance of the model in COD prediction.Compared to traditional spectrometers,the designed dual-light source sensor significantly achieves lightweight,reduces hardware costs and enhances the real-time performance of COD detection,providing efficient technical support for online water quality monitoring.关键词
紫外-可见光谱/化学需氧量/朗伯-比尔定律/随机森林Key words
UV-Vis spectroscopy/chemical oxygen demand/Lambert-Beer law/random forest分类
信息技术与安全科学引用本文复制引用
刘婉婷,罗丹妮,张宇煊,王浩然,邓俊,姜浩,李美欣,张赞允..水质化学需氧量高精度快速检测系统[J].量子电子学报,2026,43(2):227-236,10.基金项目
国家自然科学基金(62341508,62575276),天津市光电检测技术与系统重点实验室开放课题(2024LODTS104) （62341508,62575276）
