Sensor and regression model based method of determining for injection amount of a coagulant, and purified-water treatment system using the same

摘要

PURPOSE: A method for determining the injecting amount of coagulant using a sensor and a regression model and a water purifying apparatus using the same are provided to analyze the relation of each measured value using a time series analysis-based auto-regressive moving average model(ARIMA) model based on water quality data. CONSTITUTION: A method for determining the injecting amount of coagulant using a sensor and a regression model includes a process in which a regression equation is inferred based on a time series analysis-based ARIMA model from existing raw water data and coagulant injected amount data. The coagulant injected amount data is used as an adjusting parameter, and the raw water data is used as a controlling parameter. The raw water data includes pH values, alkalinity, water temperatures, turbidity, and electric conductivity. The regression equation becomes a computer operator. The quality of raw water is measured in a raw water measuring unit(140) and is computer-operated to determine the injecting amount of the coagulant.