The Korean text of this paper can be translated into multiple languages on the website of http://jksee.or.kr through Google Translator.
| 데이터 마이닝 기법을 활용한 하수처리장 소화가스 예측 및 탈수 케이크 관리 기법 개발 |
| 김동관1, 김효수2, 김예진3, 김민수4, 박문화4, 김창원4 |
1한국광해관리공단
2엔바이론소프트
3부산카톨릭대학교 환경공학과
4부산대학교 사회환경시스템공학과 |
| Development of Digestion Gas Production and Dewatering Cake Management in WWTP by Using Data Mining Technology |
| Dongkwan Kim1, Hyosoo Kim2, Yejin Kim3, Minsoo Kim4, Wenhua Piao4, Changwon Kim4 |
1Mine Reclamation Corporation
2Environsoft Co. Ltd
3Department of Environmental Engineering, Catholic University of Pusan
4Department of Civil and Environmental Engineering, Pusan National University |
| Corresponding author |
Dongkwan Kim ,Tel: 041-901-7919, Fax: 041-901-7970, Email: kimdk@mireco.or.kr
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Received: June 18, 2014; Revised: November 3, 2014; Accepted: December 10, 2014. Published online: January 31, 2015. |
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| ABSTRACT |
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The purpose of this study is to suggest the effective operation method by developing prediction model for the gas production rate, an indicator of the effectiveness of anaerobic digestion tank, using data mining. At the result, gas production estimate model is developed by using ANN within 10% error. It is expected to help operation of anaerobic digestion by suggesting selected parameter. Meanwhile case based reasoning is applied to develop dewatering cake management technology. Case based reasoning uses the most similar examples of past when a new problem occurs, therefore in this study, management measures are developed that proposes dewatering cake minimization with the minimum change by applying the case based reasoning to sludge disposal process. |
| Key Words:
Gas Production, Artificial Neural Network, Dewatering Cake, Case Based Reasoning, Sludge Management |
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