Ammonia nitrogen concentration soft-measuring method based on fuzzy neural network

Abstract

An ammonia nitrogen concentration soft-measuring method based on a fuzzy neural network belongs to both the field of control and the field of water treatment. Aiming at the problems that currently, effluent ammonia nitrogen concentration is difficult to measure in real time in the sewage treatment process and an effluent ammonia nitrogen concentration real-time detection method urgently needs to be researched to promote the automation level of an urban sewage treatment plant, the ammonia nitrogen concentration soft-measuring method is based on biochemical reaction characteristics of urban sewage treatment, adopts the fuzzy neural network based on a fast quadratic learning algorithm to build an ammonia nitrogen concentration soft-measuring model, and solves the problem of difficulty in real-time measurement on the effluent ammonia nitrogen concentration. The result shows that the soft-measuring model can rapidly and accurately predict concentration of the effluent ammonia nitrogen in the sewage treatment, is beneficial for promoting the quality monitoring level of the concentration of the effluent ammonia nitrogen in the sewage treatment process and ensures high-efficiency and stable operation of the urban sewage treatment plant.

Description

Technical field [0001] The invention relates to the real-time measurement of the ammonia nitrogen concentration of the effluent water quality in the urban sewage treatment process. Based on the biochemical reaction characteristics of the urban sewage treatment, a fuzzy neural network based on a fast quadratic learning algorithm is used to establish a soft measurement model of the ammonia nitrogen concentration, which realizes the urban Prediction of the ammonia nitrogen concentration of key water quality parameters in the sewage treatment process; real-time detection of the ammonia nitrogen concentration is beneficial to solve the difficult problem of restricting the real-time measurement of ammonia nitrogen in the effluent, and ensure that the key water quality discharge meets the real-time standard; realizing the online prediction of the ammonia nitrogen concentration is to realize the denitrification control of the urban sewage treatment process The basic link is an important ...

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Problems solved by technology

At present, sewage treatment plants mostly use measurement methods based on the chemical properties of ammonia nitrogen, measurement methods based on physical methods such as electrode methods, and measurement methods based on process mechanism prediction models. However, the above methods cannot measure the concentration of ammonia nitrogen in real time, which makes it difficult to realize the urban sewage treatment process. Closed-loop control

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