Anomaly Detection in Dosing System

In the process of sewage treatment and dosing, due to the physical and chemical factors of the medicament or thinking factors, the market will cause the dosing abnormal. To monitor the abnormal situation in real-time, this paper uses the Long Short-Term Memory algorithm to learn the time law of dosing and uses real dosing data to predict the value of the next time point by point, which can determine whether an exception has occurred in the dosing system reliably.