A method for predicting ammonia nitrogen concentration in effluent based on adaptive recurrent fuzzy neural network

Abstract

The invention relates to an outlet ammonia nitrogen concentration prediction method based on an adaptive recurrent fuzzy neural network, which belongs to the control field and the water treatment field. As that measure process of ammonia nitrogen concentration in the effluent of the current sewage treatment proces is tedious, As that cost of instrument and equipment is high, the reliability and accuracy of the measurement result are low, and the like, the problem that the concentration of ammonia nitrogen in the effluent is difficult to be measured is sol by utilizing an adaptive recurrent fuzzy neural network to realize the prediction of the concentration of ammonia nitrogen, which is a key water quality parameter, based on the biochemical reaction characteristic of the municipal sewage treatment; The results show that the recurrent fuzzy neural network can be fast. Accurately predicting the concentration of ammonia nitrogen in wastewater treatment effluent is helpful to improve the concentration and quality monitoring level of ammonia nitrogen in wastewater treatment process and strengthen the fine management of municipal wastewater treatment plant.

Description

technical field [0001] According to the biochemical reaction characteristics of sewage treatment, the present invention uses an adaptive recursive fuzzy neural network to realize the prediction of the ammonia nitrogen concentration, a key water quality parameter in the sewage treatment process. The ammonia nitrogen concentration is an important parameter that characterizes the degree of water pollution and sewage treatment, and has a positive impact on human health. Important impact, realizing the online prediction of ammonia nitrogen concentration is the basic link to realize the denitrification control, and it is an important branch of the advanced manufacturing technology field, which belongs to both the control field and the water treatment field. Background technique [0002] Ammonia nitrogen is the main factor of water environment pollution and water eutrophication. An important measure to control water environment pollution and water eutrophication is to strictly limit...

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Problems solved by technology

[0005] The present invention obtains a method for predicting the concentration of ammonia nitrogen in effluent based on an adaptive recursive fuzzy neural network. By designing the recursive fuzzy neural network, the online correction of the recursive fuzzy neural network is realized according to the real-time data collected in the sewage treatment process, and the concentration of ammonia nitrogen in the effluent is realized. The real-time measurement solves the problem that the concentration of ammonia nitrogen in the effluent of the sewage treatment process is difficult to measure in real time, improves the real-time monitoring level of water quality in urban sewage treatment plants, and ensures the normal operation of the sewage treatment process;

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