Rural domestic sewage a 2 oSoft measurement method and device for total nitrogen concentration in effluent from treatment terminal

Abstract

The invention discloses a rural domestic sewage A 2 O treatment terminal effluent total nitrogen concentration soft measurement method and device. The method uses influent pH, effluent pH, influent conductance, effluent conductance, influent turbidity, effluent turbidity, influent ammonia nitrogen concentration and effluent ammonia nitrogen concentration as input indicators for effluent total nitrogen concentration prediction, and uses BP neural network to construct the above Correlation model between input indicators and effluent total nitrogen concentration. By simulating and verifying the above-mentioned BP neural network model, the results show that the neural network model established by the present invention can quickly and more accurately predict the effluent total nitrogen concentration of different terminals in the same area. 2 O facility effluent total nitrogen concentration has a reliable predictive value.

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...

AI Technical Summary

Problems solved by technology

However, the existing research on soft sensing generally stays at the theoretical level, and most of them focus on a single processing terminal as the research object, and cannot realize the prediction function of other terminals in the same area.

In my country, rural domestic sewage has the characteristics of large quantity, high dispersion, high operation and maintenance costs, and great difficulty. It is obviously impractical to equip each set of terminals with the above-mentioned online monitoring equipment based on chemical methods. It also takes a lot of manpower and material resources to establish a soft-sensing model at the terminal, which is not in line with the actual situation of rural domestic sewage monitoring in my country

[0003] Since there is no simple and quick way to measure the concentration of total nitrogen in water at present, the measurement of total nitrogen in the national standard method needs to go through a digestion process, and its online monitoring is difficult.

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