Method for determination of the amount of a model input data for predicting membrane fouling in reverse osmosis process and device using the same

摘要

One embodiment of the present invention comprises the steps of building a database of monitoring data collected from sensors of a reverse osmosis process; Constructing a pollution prediction model of a reverse osmosis membrane using the database; Calculating a prediction accuracy by changing the amount of input data according to a future prediction time point and a type of input variable using the reverse osmosis membrane contamination prediction model; And Determining the amount of input data when having the highest prediction accuracy of the prediction accuracy; Provides a method for determining the amount of sample input data of the reverse osmosis membrane contamination prediction model to predict the exact degree of membrane contamination reverse osmosis membrane cleaning and replacement timing Can contribute to the decision.