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Proceedings Paper

A new method for COD analysis with full-spectrum based on Artificial Neural Network
Author(s): Wei-wei Feng; Dan Li; Zong-qi Cai; Fu-guo Hao
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Paper Abstract

A new on-line monitoring system was developed for the determination of chemical oxygen demand (COD) in water based on full-spectrum analysis. In this system, Artificial Neural Net (ANN) work was used to obtain the transmission equation between absorbance and COD value by measuring absorption spectra of water with known COD value, and then the established equation could inverse the COD values of the unknown water samples. For the COD determination of simulated complicated water samples, the instrumental reliability was well validated by a comparison made between the ANN method and the PLS method. The monitoring system of the ANN method provided advantages of simplicity, rapidity, high precision, no consumption of reagent. And it was demonstrated an ideal alternative to real-time and on-line monitoring of COD in water.

Paper Details

Date Published: 27 September 2016
PDF: 9 pages
Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96842K (27 September 2016); doi: 10.1117/12.2242629
Show Author Affiliations
Wei-wei Feng, Yantai Institute of Coastal Zone Research (China)
Dan Li, Yantai Institute of Coastal Zone Research (China)
Zong-qi Cai, Yantai Institute of Coastal Zone Research (China)
Fu-guo Hao, Yantai Institute of Coastal Zone Research (China)


Published in SPIE Proceedings Vol. 9684:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Yudong Zhang; Fan Wu; Ming Xu; Sandy To, Editor(s)

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