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http://dx.doi.org/10.5391/JKIIS.2005.15.1.053

Application of Data Mining for Coagulant Dosage of Water Treatment Plants Corresponding to Input Conditions  

Bae Hyeon (부산대학교 전기공학과)
Kim Sungshin (부산대학교 전기공학과)
Choi Dae-Won (부산대학교 전기공학과)
Lee Seung-Tae (부산대학교 전기공학과)
Kim Yejin (부산대학교 환경공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.1, 2005 , pp. 53-58 More about this Journal
Abstract
Water shortages are gradually accelerating because higher standards of living are required and water resources are more heavily utilized. Therefore, effective water treatment is necessary in order to retain the required qualify and amount of water. General treatment includes coagulation, flocculation, filtering, and disinfection. coagulation, flocculation, and disinfection are major components of water treatment processes. In this paper, a new automatic decision algorithm is proposed for coagulation. The proposed method shows how to determine the coagulant type and amount using data mining techniques.
Keywords
수처리 플랜트;응집제 주입 자동화;원수 조건;데이터 마이닝;
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