Knowledge-based robust effluent ammonia nitrogen soft measurement method

A soft measurement, robust technology, applied in neural learning methods, testing water, biological neural network models, etc., can solve problems such as measurement bias and outlier interference.

Active Publication Date: 2019-12-06
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Model identification is the core of soft sensing. However, the commonly used soft sensing model is based on minimizing the mean square error (MSE) criterion for parameter identification. When the process data contains non-zero mean noise, the measurement based on MSE is obviously biased and susceptible to outlier interference

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  • Knowledge-based robust effluent ammonia nitrogen soft measurement method
  • Knowledge-based robust effluent ammonia nitrogen soft measurement method
  • Knowledge-based robust effluent ammonia nitrogen soft measurement method

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Embodiment Construction

[0066] The present invention selects 5 auxiliary variables for measuring the concentration of ammonia nitrogen in the effluent: dissolved oxygen DO in the aerobic end stage, total suspended solids in the aerobic end TSS, effluent acidity and alkalinity pH, effluent oxidation-reduction potential ORP, effluent nitrate nitrogen NO3-N; the present invention The experimental data comes from the daily water quality analysis report of a sewage plant from July to August 2014. After removing the abnormal experimental samples, there are 300 sets of available data, of which 200 sets of data are used as training data, and the remaining 100 sets are used as test data;

[0067] Using the FNN based on the modeling error PDF to establish a soft sensor model for the concentration of ammonia nitrogen in the effluent includes the following steps:

[0068] Step 1: Use formula (1) to normalize 300 sets of sample data;

[0069] Step 2: Initialize the neural network, determine the neural network str...

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Abstract

The invention provides a knowledge-based robust effluent ammonia nitrogen soft measurement method, and belongs to the field of sewage treatment. As the urban sewage treatment process is complex in mechanism and serious in uncertain interference, and it is difficult to detect the current effluent ammonia nitrogen concentration and it is hard to establish an accurate mathematical model, a robust soft measurement method urgently needs to be researched. A fuzzy neural network based on modeling error probability density function distribution is utilized to establish a soft measurement model of effluent ammonia nitrogen concentration: to begin with, establishing a robustness criterion based on modeling error probability density function distribution; and then, adjusting parameters of the fuzzy neural network based on an adaptive gradient descent algorithm until the model meets the requirement of information processing. The method realizes accurate measurement of the effluent ammonia nitrogenconcentration, helps to improve the monitoring level of the effluent ammonia nitrogen concentration in the urban sewage treatment process, and provides necessary guarantee for stable and efficient operation of the sewage treatment process.

Description

technical field [0001] The invention utilizes the fuzzy neural network based on the distribution of modeling error probability density functions to establish a soft sensor model for the concentration of ammonia nitrogen in the effluent of the urban sewage treatment process, and realizes the real-time measurement of the concentration of ammonia nitrogen in the effluent of the urban sewage treatment process; the concentration of the effluent ammonia nitrogen reflects the sewage treatment process The removal effect of nitrogen-containing pollutants in the medium, its accurate measurement is very important for the operation monitoring of the urban sewage treatment process, and is a necessary guarantee for the stable and efficient operation of the urban sewage treatment process. The invention not only belongs to the field of sewage treatment, but also belongs to the field of detection technology. Background technique [0002] As the eutrophication of urban water caused by nitroge...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/18G06N3/08
CPCG01N33/18G06N3/08
Inventor 乔俊飞权利敏杨翠丽蒙西
Owner BEIJING UNIV OF TECH
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