Diagnostic study of the anaerobic process for ammonia nitrogen based on dissimilar moving average indicators
Reasonable diagnostic methods and control strategies are necessary to achieve stability and efficiency in the anaerobic treatment process.To accurately diagnose and effectively control the anaerobic process of ammonia nitrogen,this study conducted real-time monitoring of the gas phase parameters and liquid phase parameters of the UASB reactor under the ammonia disturbance impact situation based on an online monitoring system.Due to the noise fluctuation of gas phase parameters and liquid phase parameters,traditional monitoring indicators cannot accurately reflect the status information of the reactor,while the exponential smoothing moving average algorithm can extract and process the data.By establishing the moving average convergence and divergence indicator of the gas phase parameters and liquid phase parameters,the abnormal fluctuations caused by accidental factors can be alleviated,the irregular noise information of related index parameters can be filtered out,and the wrong judgment and excessive response of the system can be reduced.According to the moving average convergence and divergence indicator response characteristics of the gas-liquid phase parameters and the relationship between the state of the reactor,a diagnostic inference database can be constructed by establishing diagnostic rules for the ammonia nitrogen disturbance shock test.The diagnostic inference database of the ammonia anaerobic process contained the indicator response characteristics of the gas and liquid phase parameters of anaerobic reactors.According to the gas-liquid phase parameters characteristics of the indicator analysis,it shows that the gas phase parameters responded faster than the liquid phase parameters on the whole,which is suitable to be used as a sensitivity index to identify the occurrence of ammonia disturbance inhibition.In addition,In the middle and late stages of the shock phase,the comprehensive response of gas-phase and liquid-phase moving average convergence and divergence indicators can not only make an accurate and comprehensive diagnosis of disturbance inhibition degree and anaerobic biochemical system recovery but also provide rapid warning and effective strategies.
environmental engineeringammonia nitrogen anaerobic processmoving average convergence and divergence indicatordiagnostic inference database
NETL
NSTL
万方数据
维普
