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

Active Publication Date: 2022-02-08
安徽晨泽知识产权服务有限公司
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Problems solved by technology

[0003] However, in the process of treating organic waste gas by the biological trickling filtration method in the prior art, regardless of the concentration of organic pollutants, the liquid output of each seasoning section sprayer in the biological trickling filter tower is always the same, and the biological purification cannot be fully utilized. The processing capacity of the system, at the same time, also caused a lot of energy waste

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  • A method for treating organic waste gas with a biological trickling filter tower based on convolutional neural network
  • A method for treating organic waste gas with a biological trickling filter tower based on convolutional neural network

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Embodiment 1

[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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Abstract

The invention discloses a method for treating organic waste gas by a biological trickling filter tower based on a convolutional neural network, which belongs to the technical field of volatile organic compounds treatment. The training sample is used to train the biological trickling filtration processing network model; S30, the real-time parameters of the biological trickling filtration tower are input into the trained biological trickling filtration processing network model, and the trained biological trickling filtration processing network model provides a parameter matching scheme, and the parameters The matching scheme is the basis for the operation of the biological trickling filter tower. The biological trickling filter processing network of the present invention adjusts the real-time organic pollutant concentration of the air inlet and the liquid output parameters of the liquid sprayer according to the prefabricated exhaust gas parameter indicators, so that the biological trickling filter tower can fully exert the processing capacity of the biological purification system, At the same time, the energy of the spray pump operation is saved.

Description

technical field [0001] The invention belongs to the technical field of treatment of volatile organic compounds, and in particular relates to a method for treating organic waste gas with a convolutional neural network-based biological trickling filter tower. Background technique [0002] The biological trickling filter tower is the most commonly used device for biological treatment of VOCs waste gas. It mainly degrades organic pollutants into CO through the metabolic process of microorganisms attached to the packing surface in the trickling filter tower. 2 , water, inorganic salts and other substances, and use waste gas as nutrition or energy to generate new microbial cytoplasm, forming a stable and balanced micro-ecological environment, which can continuously metabolize and transform pollutants in waste gas. [0003] However, in the process of treating organic waste gas by the biological trickling filtration method in the prior art, regardless of the concentration of organic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B01D53/84B01D53/44G06N3/04G06N3/08
CPCB01D53/84B01D53/44G06N3/08B01D2257/708G06N3/045Y02A50/20
Inventor 杨百忍吴梦蕾商青青周琦耿安琪于广成杨帅张可慧李方谈超逸张庆凯
Owner 安徽晨泽知识产权服务有限公司
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