SYSTEM AND METHOD FOR PROVIDING WATER QUALITY INFORMATION CAPABLE OF DIAGNOSING AND PREDICTING STATE OF WATER QUALITY OF WATER SYSTEM

摘要

The present invention relates to a system and a method for providing water quality information capable of diagnosing and predicting the state of the water quality of a water system, the system and method predicting the water quality at a specific point of the water system by means of a water quality value measured at a point higher upstream and a water quality prediction model comprising a series of rules so as to provide same and simultaneously providing a qualitative diagnosis result on the state of the water quality. Provided according to the present invention is a system for providing water quality information capable of diagnosing and predicting the state of the water quality of a water system, the system comprising: a data processing unit for collecting pieces of data required for diagnosing and predicting the state of the water quality of the water system from a database for storing data on the measured water quality of the water system and for grouping the pieces of data into sets at predetermined time intervals so as to process same; a diagnostic decision tree generation unit for generating a diagnostic decision tree which groups water quality types at a target point for pieces of data for the target point among the processed sets of data and diagnoses the water quality type at the target point with the grouped water quality types as target variables and the piece of data corresponding to a point higher upstream than the target point as a separation criterion; a diagnostic decision unit for applying the pieces of data for the target point among the processed sets of data to the diagnostic decision tree and for deriving the water quality type at the target point; a predictive decision tree generation unit for generating a predictive decision tree which predicts a quantitative range for a target variable at the target point with the pieces of data for the target point among the processed sets of data as target variables and the piece of data corresponding to a point higher upstream than the target point as a separation criterion; and a predictive decision unit for applying the pieces of data for the target point among the processed sets of data to the predictive decision tree and for deriving the quantitative range for the target variable at the target point, wherein the processed sets of data include at least one among BOD, COD, SS, T-N, T-P, STN, STP, NH₄⁺N, NO_X-N, PO₄-P, and GHI-a pH.