Rural domestic sewage A2O treatment terminal effluent total nitrogen concentration soft measurement method and device

Abstract

The invention discloses a rural domestic sewage A2O treatment terminal effluent total nitrogen concentration soft measurement method and a rural domestic sewage A2O treatment terminal effluent total nitrogen concentration soft measurement device. According to the method, the pH value of inlet water, the pH value of outlet water, the conductivity of inlet water, the conductivity of outlet water, the turbidity of inlet water, the turbidity of outlet water, the concentration of ammonia nitrogen in inlet water and the concentration of ammonia nitrogen in outlet water are used as input indexes forpredicting the total nitrogen concentration of outlet water, and a BP neural network is used for constructing a correlation model between the input indexes and the total nitrogen concentration of outlet water. Through simulation and verification of the BP neural network model, the result shows that the neural network model established by the invention can quickly and accurately predict the total nitrogen concentration of effluent of different terminals in the same region, and the model has a reliable prediction value for the total nitrogen concentration of effluent of an A2O facility.

Description

technical field [0001] The invention belongs to the field of environmental monitoring methods, in particular to a kind of rural domestic sewage A 2 O treatment terminal effluent total nitrogen concentration soft measurement method and device. Background technique [0002] A 2 The O process is the process type currently used in most rural domestic sewage treatment terminals. At this stage, the detection principle of large-scale online water quality monitoring equipment on the market generally adopts conventional chemical methods. This type of online monitoring equipment is expensive, requires regular replacement of chemical reagents, high cleaning and maintenance costs, and requires relatively high operating skills for maintenance personnel. High disadvantage. In recent years, the soft sensor technology based on artificial neural network has been studied at home and abroad. The main method is to use artificial neural network to establish auxiliary indicators that can be me...

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