Online COD measurement based on multi-source spectral feature-level fusion model. Issue 3 (May 2021)

• Record Type: Journal Article
• Authors: Guan, Li; Tong, Yifei; Li, Jingwei; Wu, Shaofeng; Li, Dongbo
• Is Part Of: IOP conference series. Volume 781:Issue 3(2021)
• Publication Date: 2021-05
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/781/3/032022
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: To overcome the shortcomings of UV-Vis spectrometry and fluorescence spectrometry for COD detection, an online measurement named FfCODnet has been proposed and estimated in this paper. In this method, UV-Vis spectrum and fluorescence emission spectrum are collected online by a spectrophotometer, then De-noising Auto-Encoders (part of FfCODnet, abbreviated as DAE) are used to clean two types of raw spectrum respectively, finally the rest of FfCODnet is utilized to predict COD value of water sample. Through experiments and results comparison, the result shows that the proposed method has a good performance on both noise tolerance and measure accuracy.