Self-organizing fuzzy neural network-based soft measurement method for effluent ammonia-nitrogen concentration

Abstract

The invention provides a self-organizing fuzzy neural network-based soft measurement method for effluent ammonia-nitrogen concentration, belongs to the field of control science and engineering, and also belongs to the field of environmental science and engineering. According to the method, effluent ammonia-nitrogen concentration in a wastewater treatment process is predicted by a self-organizing fuzzy neural network, so that real-time detection on the effluent ammonia-nitrogen concentration in the wastewater treatment process is achieved; accurate prediction of the effluent ammonia-nitrogen concentration is beneficial to solving the problem of restricting real-time measurement of effluent ammonia and nitrogen and ensuring that key water emission reaches the standard in real time; and meanwhile, real-time prediction on the effluent ammonia-nitrogen concentration in wastewater treatment is an important link for achieving wastewater treatment process control and is an important basis for normal operation of the wastewater treatment process. The method provided by the invention achieves real-time detection of the effluent ammonia-nitrogen concentration, obtains relatively good accuracy, solves the problem that the effluent ammonia-nitrogen concentration is difficult to detect in real time and ensures stable and safe operation of the wastewater treatment process.

Description

technical field [0001] The present invention uses the self-organized fuzzy neural network to predict the ammonia nitrogen concentration of the effluent water quality in the sewage treatment process, and realizes the real-time detection of the ammonia nitrogen concentration in the effluent water quality of the sewage treatment process; the accurate prediction of the ammonia nitrogen concentration in the effluent water is beneficial to solve the difficult problem of restricting the real-time measurement of ammonia nitrogen in the effluent water, Ensure that key water quality discharges meet real-time standards; at the same time, the real-time prediction of ammonia nitrogen concentration in sewage treatment effluent is an important link in the control of sewage treatment process and an important basis for the normal operation of sewage treatment process. It belongs to the field of control science and engineering, and belongs to environmental science and engineering field. Backgr...

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Problems solved by technology

In order to achieve the standard discharge of ammonia nitrogen concentration in the effluent, it is necessary to measure the concentration of ammonia nitrogen in the effluent in real time. At present, sewage treatment plants mostly use methods based on the chemical properties of ammonia nitrogen, methods based on physical methods such as electrode methods, and methods based on process mechanism prediction models. However, these methods cannot measure the concentration of ammonia nitrogen in real time; at the same time, due to the characteristics of nonlinearity, strong coupling, and time-varying nature of the sewage treatment process, the detection accuracy is low, making it difficult to achieve closed-loop control in the urban sewage treatment process

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