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Sewage organic nitrogen bio-availability evaluation method based on machine learning

A technology of bioavailability and machine learning, applied in the field of bioavailability evaluation of sewage organic nitrogen based on machine learning, can solve the problems of time-consuming and cumbersome operation, and achieve the effects of simple operation, avoiding algae biological cultivation, and shortening the test cycle

Pending Publication Date: 2022-04-08
NANJING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this invention has the characteristics of easy continuous operation, etc., the bioavailability of organic nitrogen is still determined by measuring the change of organic nitrogen content in the water sample of the algae growth system, which is cumbersome and time-consuming.

Method used

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  • Sewage organic nitrogen bio-availability evaluation method based on machine learning
  • Sewage organic nitrogen bio-availability evaluation method based on machine learning
  • Sewage organic nitrogen bio-availability evaluation method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] A sewage sample from a sewage plant was selected for biodegradability evaluation of dissolved organic nitrogen. The average COD concentration of sewage was 150.1mg / L, the average total nitrogen concentration was 16.2mg / L, and the average organic nitrogen concentration was 3.2mg / L. L, the average value of total phosphorus concentration is 1.1mg / L. Such as figure 1 As shown, the specific evaluation steps are as follows:

[0050] (1) Collect 100 organic nitrogen molecular component information from Fourier transform ion cyclotron resonance mass spectrometry and bioavailability data of organic nitrogen in sewage from algae biological culture.

[0051] (2) Calculate the organic nitrogen molecular parameters of each sewage water sample as the characteristic value. The specific calculation process is as follows:

[0052] Molecular parameters of all organic nitrogen molecules: average of the mass-to-charge ratio m / z, resulting in the eigenvector x 1 =(x 11 ; x 12 ; x 13 ;...

Embodiment 2

[0073] A sewage sample from a sewage plant was selected for biodegradability evaluation of dissolved organic nitrogen. The average COD concentration of the sample was 35.4mg / L, the average total nitrogen concentration was 12.8mg / L, and the average organic nitrogen concentration was 0.9mg / L. L, the average value of total phosphorus concentration is 0.09mg / L. The specific evaluation steps are as follows:

[0074] (1) The process of building the model is the same as in Example 1.

[0075] (2) Determination of molecular components of organic nitrogen in sewage water samples by Fourier transform ion cyclotron resonance mass spectrometry.

[0076] (3) Extract the required eigenvalues ​​and obtain the eigenvector X=(x 1 ; x 2 ; x 3 ;…;x 65 ), according to the mean and variance of the respective eigenvalues ​​on the original data set, carry out data standardization processing, and obtain the eigenvector X=[-0.032;-0.284; 2.60;...;-0.571] T .

[0077] (4) Input the feature vecto...

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Abstract

The invention discloses a sewage organic nitrogen bio-availability evaluation method based on machine learning, and belongs to the technical field of sewage treatment. The method comprises the following steps: (1) collecting organic nitrogen molecular component information and bio-availability data in a sewage sample; (2) establishing a sewage organic nitrogen bio-availability prediction model based on machine learning; (3) determining organic nitrogen molecular components in the sewage sample of the target sewage plant; and (4) predicting the bio-availability of the organic nitrogen in the sewage of the target sewage plant according to the model established in the step (2). The method provided by the invention is high in detection speed, high in accuracy and simple and convenient to operate, and can be widely applied to evaluation of bio-availability of organic nitrogen in sewage.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment, and in particular relates to a method for evaluating the biological effectiveness of sewage organic nitrogen based on machine learning. Background technique [0002] Through the biological treatment process, the sewage treatment plant can effectively remove the inorganic nitrogen components in the sewage, and the organic nitrogen in the sewage has become a non-negligible component of the total nitrogen in the effluent. Organic nitrogen is not completely non-biodegradable in nature, and some can be directly used by algae or hydrolyzed by microorganisms, mineralized and then absorbed by algae, thus accelerating the consumption of dissolved oxygen in water and promoting the formation of eutrophication. The bioavailability of organic nitrogen refers to the availability of organic nitrogen to organisms. It is an important indicator used to measure the impact of organic nitrogen on the quality...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/62G06N20/00G06F17/14G06N5/00
CPCG01N33/18G16C20/30G16C20/70G06N20/20G06N5/01Y02W10/10G06N3/002
Inventor 胡海冬程华仔廖可薇王瑾丰吴兵任洪强
Owner NANJING UNIV
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