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Ammonia nitrogen index soft measurement method based on neural network algorithm

A neural network algorithm and soft measurement technology, applied in the field of water quality monitoring, can solve the problems of long calculation time, unclear relationship, complicated equipment design and installation, etc. Effect

Pending Publication Date: 2019-07-30
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

The relationship between the auxiliary variable and ammonia nitrogen used in this method is unclear, and it takes longer calculation time; and it needs to be sampled at the water inlet and outlet at the same time, and the equipment design and installation are more complicated

Method used

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  • Ammonia nitrogen index soft measurement method based on neural network algorithm

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Experimental program
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Embodiment 1

[0041] Start the water inlet pump in the online monitoring system, start the automatic sampler at intervals of 2 hours to collect a water sample, and measure NH 3 -N concentration, using the national standard method to obtain COD and NO at the sampling time 3 - -N concentration, obtain the values ​​of DO and ORP at the sampling time, the number of samples is 100, and convert all indicators into molar concentrations.

[0042] Then construct the neural network algorithm, including the following steps:

[0043] 1) Data normalization: Preprocess the data, read the data, and randomly select the training set and test machine. Due to the different dimensions of different parameters, effective comparison cannot be made, so the data needs to be normalized. , so as to facilitate modeling;

[0044] 2) Define the activation function: such as figure 1As shown, the hidden layer is set to 1 layer, the number of units is 3, and each unit uses a different activation function. The activatio...

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Abstract

The invention discloses an ammonia nitrogen index soft measurement method based on a neural network algorithm, relates to the field of water quality monitoring, and is characterized in that an input layer is auxiliary variables with a correlation relation with the molar concentration of an ammonia nitrogen index NH3-N, the hidden layer is a neural network algorithm, an activation function is defined according to the correlation relation, and the output layer is an ammonia nitrogen concentration predicted value. According to the method, the auxiliary variables in theoretical correlation with the ammonia nitrogen are selected, so that the model has higher precision and higher operation speed; except DO and ORP, COD and nitrate nitrogen can be continuously monitored by adopting a spectral method, so that online continuous monitoring is easier to realize; and all variables face the water outlet, so that the integrated arrangement of the instrument is easy to realize.

Description

technical field [0001] The invention relates to the field of water quality monitoring, in particular to an ammonia nitrogen index soft measurement method based on a neural network algorithm. Background technique [0002] The issue of water quality safety has attracted much attention at the moment when water environment problems are becoming more and more serious, so the market potential of online monitoring and testing instruments for environmental water quality is huge. With the increase of income, residents pay more and more attention to environmental issues closely related to their health. At the same time, the development of industrialization and urbanization has led to the continuous spread and deepening of water pollution. The contradiction between the deterioration of the water environment and the rising standard of people's needs provides a broad development space for water treatment and related industries. [0003] Water quality monitoring is an important basis for...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06Y02A20/152
Inventor 曲江北李彭何义亮王志平
Owner SHANGHAI JIAO TONG UNIV
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