Modularized neural network-based effluent BOD sensor anomaly detection method

Abstract

The invention discloses an effluent BOD sensor anomaly detection method based on a modular neural network, relates to the field of artificial intelligence, and is directly applied to the field of sewage treatment. In order to solve the problems that in the current sewage treatment process, an effluent BOD sensor drifts and abrupt abnormity cannot be detected in real time under complex working conditions, samples are automatically classified and input according to the working conditions by adopting a density-based clustering algorithm; extracting an effluent BOD auxiliary variable as an input variable of each sub-network in the modular network by using a mutual information-based method; designing a self-organizing RBF neural network based on error correction as a sub-network, and training the network through an improved Levenberg-Marquardt (LM) algorithm to improve the training speed. The result shows that the abnormity detection method is compact in structure, abnormity of the effluent BOD sensor in the sewage treatment process can be rapidly and accurately detected, and technical guarantee is provided for safe and stable operation of sewage treatment.

Description

Technical field: [0001] The invention relates to the field of artificial intelligence, is directly applied to the field of abnormal detection of BOD sensors in sewage treatment, and in particular relates to a method for detecting abnormalities of effluent BOD sensors based on a modular neural network. Background technique: [0002] Biochemical oxygen demand (Biochemical Oxygen Demand, BOD) is an important parameter reflecting the degree of organic pollution of water bodies, an important index for evaluating sewage water quality and an important control parameter for sewage treatment process. The detection and measurement of BOD is of great significance to sewage treatment . The current standard method for BOD measurement is the dilution and inoculation method, but the procedure is cumbersome, the measurement cycle is long, there is a serious hysteresis, and it cannot reflect the change of BOD in the water body. In recent years, a large number of random BOD sensors have been...

AI Technical Summary

Problems solved by technology

The current standard method for BOD measurement is the dilution and inoculation method, but the procedure is cumbersome, the measurement cycle is long, there is a serious hysteresis, and it cannot reflect the change of BOD in the water body

In recent years, a large number of random BOD sensors have been put into application, and their determination can meet the demand for BOD measurement. However, under complex working conditions, sewage sensors will face problems such as vibration, pH changes, and short-term strong loads, which may easily cause sensor abnormalities. , and difficult to detect, affecting the sewage treatment process

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