A method for treating organic waste gas with a biological trickling filter tower based on convolutional neural network
A technology of convolutional neural network and biological trickling filter tower, which is applied in the direction of neural learning method, biological neural network model, separation method, etc., can solve the problems of energy waste and the inability to fully utilize the processing capacity of the biological purification system, and achieve energy saving Effect
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[0028] A method for treating organic waste gas with a biological trickling filter based on a convolutional neural network, comprising:
[0029] S10. Constructing a biological trickling treatment network model based on a convolutional neural network; the structure of the biological trickling treatment network model is as follows figure 2 shown.
[0030] In this embodiment, the convolutional neural network includes an input layer, a convolutional layer, and a pooling layer. The number of convolutional layers is 16, the convolutional kernel size is 3*3, and the maximum pooling layer is 5. layer.
[0031] S20, using the training samples to train the biological trickling filtration processing network model;
[0032] In the present embodiment, the training samples include the following parameters: the parameters of the mixed gas entering the air inlet 115 of the biotrickling filter 100, the parameters of the spray pump 159, the parameters of the working fluid, the parameters of th...
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