Research on CNN-GRU industrial wastewater classification model based on UV-Vis spectroscopy

Table 1. Industrial wastewater COD classification standard
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Table 1. Industrial wastewater COD classification standard
Industrial wastewater classification Concentration/(mg·L^-1)
Ⅰ类 0-100
Ⅱ类 100-150
Ⅲ类 150-500

Table 2. Output dimension of each layer of CNN-GRU network

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Table 2. Output dimension of each layer of CNN-GRU network

Layer	Network	Output shape
1	Conv1D	(2067, 1)
2	Conv1D	(2065, 1)
3	MaxPooling1D	(688, 1)
4	Conv1D	(686, 1)
5	Conv1D	(684, 1)
6	MaxPooling1D	(228, 1)
7	Conv1D	(226, 1)
8	Conv1D	(224, 1)
9	MaxPooling1D	(74, 1)
10	GRU	(64)
11	GRU	(64)
12	Flatten	(4736)
13	Dence	(3)

Table 3. The result of spectral denosing
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Table 3. The result of spectral denosing
Denoising method $R_{S N}$ $R_{S M E}$
20 dB 30 dB 40 dB 50 dB 20 dB 30 dB 40 dB 50 dB
Savitzky-Golay 17.96 19.09 19.19 19.22 0.06 0.05 0.05 0.05
Wavelet 17.25 18.27 18.38 18.40 0.07 0.06 0.06 0.06
Gauss 17.93 21.96 22.78 22.91 0.06 0.04 0.04 0.04

Table 4. Model prediction results comparison
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Table 4. Model prediction results comparison
Predictive model Prediction accuracy/%
CNN Model 96.0
LSTM Model 97.5
GRU Model 97.5
CNN-LSTM Model 98.0
CNN-GRU Model 99.5

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Junfeng MIAO, Bin TANG, Qing CHEN, Zourong LONG, Binqiang YE, Yan ZHOU, Jinfu ZHANG, Mingfu ZHAO, Mi ZHOU. Research on CNN-GRU industrial wastewater classification model based on UV-Vis spectroscopy[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(1): 73

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