Jiacheng Cai, Xiao Deng, Chongxuan Kan, Shuang Zhao. Design of Water Quality COD Online Detection System Based on Ultraviolet-Visible Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(1): 0130001
- Laser & Optoelectronics Progress
- Vol. 59, Issue 1, 0130001 (2022)
Fig. 1. Schematic diagram of the overall system structure
Fig. 2. Absorption spectrum of COD standard solution. (a) Transmitted light intensity curve; (b) absorbance curve
Fig. 3. Spectral data prediction regression model. (a) 220~245 nm band; (b) 260~285 nm band
Fig. 4. COD concentration-voltage data model. (a) Normalized spectral curve; (b) voltage regression model; (c) voltage solution model
Fig. 5. Absorption spectrum of mixed solution. (a) Absorbance curve of mixed solution with COD concentration of 50 mg/L and different turbidity; (b) absorbance curve of standard turbidity solution; (c) absorbance of the mixed solution minus the absorbance of the turbidity solution
Fig. 6. Compensation model. (a) Rrelationship between KN and wavelength under different turbidity; (b) compensated absorbance curve
Fig. 7. Absorption spectra of 50 mg/L COD solution at different temperature. (a) Transmitted light intensity curve; (b) absorbance curve; (c) fitting equation at 250 nm wavelength
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Table 1. Relative error of the predicted value of COD concentration under different algorithm models
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Table 2. Fitting formula of KN(λ) under different turbidities
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Table 3. Statistical results of linear regression equation at different wavelengths
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