Method for treating organic waste gas by bio-trickling filter based on convolutional neural network

A technology of convolutional neural network and biological trickling filter, which is applied in neural learning methods, biological neural network models, separation methods, etc., can solve the problems of energy waste and the inability to fully utilize the processing capacity of biological purification systems, etc.

Active Publication Date: 2020-09-25
安徽晨泽知识产权服务有限公司
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 secti

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for treating organic waste gas by bio-trickling filter based on convolutional neural network
  • Method for treating organic waste gas by bio-trickling filter based on convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for treating organic waste gas by a bio-trickling filter based on a convolutional neural network, and belongs to the technical field of volatile organic compound treatment. The method comprises the following steps of: S10, constructing a bio-trickling filter processing network model based on the convolutional neural network; S20, training the bio-trickling filter processing network model by using a training sample; and S30, inputting real-time parameters of the bio-trickling filter into the trained bio-trickling filter processing network model, and giving a parameter matching scheme by the trained bio-trickling filter processing network model, wherein the parameter matching scheme is a basis for the operation of the bio-trickling filter. According to the bio-trickling filter processing network, the real-time organic pollutant concentration of the gas inlet and the liquid outlet amount parameter of a liquid sprayer are adjusted according to the prefabricated exhaust gas parameter index, so that the bio-trickling filter tower can fully exert the treatment capacity of a biological purification system, and meanwhile, the energy for operating the spraying pump is also 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap