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http://dx.doi.org/10.4491/KSEE.2015.37.1.1

Development of Digestion Gas Production and Dewatering Cake Management in WWTP by Using Data Mining Technology  

Kim, Dongkwan (Mine Reclamation Corporation)
Kim, Hyosoo (Environsoft Co. Ltd.)
Kim, Yejin (Department of Environmental Engineering, Catholic University of Pusan)
Kim, Minsoo (Department of Civil and Environmental Engineering, Pusan National University)
Piao, Wenhua (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Changwon (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Journal of Korean Society of Environmental Engineers / v.37, no.1, 2015 , pp. 1-6 More about this Journal
Abstract
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.
Keywords
Gas Production; Artificial Neural Network; Dewatering Cake; Case Based Reasoning; Sludge Management;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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